| Author |
Session |
Title |
| A A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Aabel, Lise |
Q2.1 |
Deep-Learning-Based Channel-Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul |
| Abdel Nour, Charbel |
Coding.3 |
Advanced Iteration Overlap for Low-Latency Turbo Decoding |
| Abdelkefi, Fatma |
MIMO 3.2 |
Cell-Free Massive MIMO with Imperfect Channel State Information and Hardware Impairments |
| Abrão, Taufik |
RIS 1.4 |
Matching Pursuit With Phase Rotation for RIS-Aided mmWave Channel Estimation |
| RIS 2.1 |
Joint BS and RIS Element Selection with Large Arrays for EE Maximization |
| RIS 2.2 |
Enabling Decentralized Access Policy Selection by Exploiting RIS-Induced Channel Diversity |
| Abusabah, Ayman T. |
Net.5 |
Distributed Access in Full-duplex Directional Multi-Packet Reception Wireless Networks |
| Adauto, Daniel |
R1.3 |
M2M-TEE: A Many-to-Many Communication Multi-Channel and Timed Energy Efficient MAC Protocol for WSNs |
| Aghaei, Fahimeh |
R5.3 |
Vehicular MMW Communication: Channel Characterization Based on Ray Tracing Study |
| Ajayi, Idowu |
ML2.5 |
Radar Interference Mitigation Using CNN Autoencoders with Spatial Attention |
| Al Basit, Suhaib |
R6.6 |
Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System |
| Al Kishki, Ahmed |
MIMO 4.3 |
Spatial Modulation and Sparse Regression Codes |
| Alameer Ahmad, Alaa |
MIMO 3.5 |
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection |
| Albu, Felix |
AASP2.2 |
Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation |
| Almeida, Igor |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| Alomainy, Akram |
AASP2.5 |
A 1.5-bit Quantization Scheme and Its Application to Sparse Array Direction Estimation |
| Alves, Hirley |
Green6G.1 |
Average Local EMF Exposure and Power Consumption of a RIS-assisted WET System |
| Alves, Matheus |
R3.3 |
Achieving Super-Resolution Reconstruction in Optical Camera Communications |
| Andreev, Kirill |
Coding.2 |
On the Design of LDPC-Based Error-Reducing Codes |
| Antonioli, Roberto |
MIMO 2.4 |
Adaptive Power Management for Maximizing Spectral Efficiency and QoS in Cell-Free Systems |
| Antreich, Felix |
AASP1.4 |
A Bayesian Algorithm for GNSS Time-Delay Estimation Using an Uncalibrated Array |
| Apolinário Jr., José |
AASP2.1 |
Exploring Adaptive Beamformers with the Null Placing Sidelobe Suppression Algorithm |
| Arantes, Dalton |
R4.4 |
Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection |
| Araújo, Daniel |
AASP1.4 |
A Bayesian Algorithm for GNSS Time-Delay Estimation Using an Uncalibrated Array |
| Arthur, Rangel |
R3.3 |
Achieving Super-Resolution Reconstruction in Optical Camera Communications |
| R3.4 |
Color-Selective Interference Equalization in Color-Shift Keying (CSK) Systems |
| Asim, Fazal-E- |
RIS 3.1 |
Low-Complexity Tensor-based Monostatic Sensing for IRS-Assisted Communication Systems |
| B A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Bacci, Giacomo |
MIMO 4.5 |
Reduced-Complexity and Robust Uplink Signal Processing for Large-Scale MIMO |
| Badia, Leonardo |
D2I 2.2 |
Reinforcement Learning for Age of Information Aware Transmission Policies in Slotted ALOHA Channels |
| Bahiano, Diego |
AASP3.3 |
Improvements in Blind Separation of Speech Signals in Reverberant Rooms |
| Balatsoukas-Stimming, Alexios |
Coding.4 |
Design of Concatenated Product Codes with Spatially-Coupled LDPC Codes |
| Ballestrin, Rogério |
R7.5 |
Exploring Machine Learning Techniques for Path Loss Prediction in LoRa Networks |
| Banelli, Paolo |
D2I 2.1 |
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting |
| Baron-Hyppolite, Adrian |
Net.2 |
Eavesdropper Avoidance through Adaptive Beam Management in SDR-Based Mm-Wave Communications |
| Bauch, Gerhard |
R2.2 |
Scalable Cell-Free Massive MIMO with Fully Distributed Large-Scale Fading Decoding |
| Beko, Marko |
R6.1 |
Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers |
| Beldi, Chaima |
MIMO 3.2 |
Cell-Free Massive MIMO with Imperfect Channel State Information and Hardware Impairments |
| Bellili, Faouzi |
MIMO 4.2 |
Multi-user Detection with Oversampled Large Antenna Arrays and Low-resolution ADCs |
| Beltrão Lacerda, Tiago |
R1.1 |
Connecting Customer Experience and Mobile Network Performance with Voronoi Tessellation |
| Benício, Kenneth |
RIS 3.1 |
Low-Complexity Tensor-based Monostatic Sensing for IRS-Assisted Communication Systems |
| Bentley, Elizabeth |
MIMO 5.4 |
Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations |
| Besser, Karl-Ludwig |
MIMO 3.1 |
On Massive Antenna Channel Models with Dependent Fading: Theory and Experiments |
| Binucci, Francesco |
D2I 2.1 |
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting |
| Bizon, Ivo |
ML2.1 |
Indoor Positioning Using Correlation Based Signal Analysis and Convolutional Neural Networks |
| Björnson, Emil |
Q2.3 |
Performance Analysis for ISAC Systems with 1-bit DACs |
| Böck, Benedikt |
MIMO 2.3 |
Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models |
| Bodström, Tero |
D2I 1.3 |
Computation Offloading and Resource Allocation for Digital Twin-empowered Mobile Edge Computing |
| Bordbar, Alireza |
Q2.1 |
Deep-Learning-Based Channel-Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul |
| Borges, Adriano |
R1.1 |
Connecting Customer Experience and Mobile Network Performance with Voronoi Tessellation |
| Boutillon, Emmanuel |
Coding.4 |
Design of Concatenated Product Codes with Spatially-Coupled LDPC Codes |
| Branco da Silva, Paulo |
R2.1 |
Iterative Soft Intra-Cluster Interference Cancellation for Cell-Free Massive MIMO Networks |
| R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| Brzozowski, Marcin |
R4.1 |
Real-Time Jamming Detection, Classification and Logging Using Computer Vision in 5G Private Networks |
| Burg, Andreas |
Coding.4 |
Design of Concatenated Product Codes with Spatially-Coupled LDPC Codes |
| Buzzi, Stefano |
MIMO 1.2 |
Scalability and Implementation Aspects of Cell-Free Massive MIMO for ISAC |
| C A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Cai, Yunlong |
MIMO 5.2 |
Machine Learning-Enabled Joint Codebook Design and Beam Selection |
| Calvanese Strinati, Emilio |
ML2.4 |
Soft Partitioning of Latent Space for Semantic Channel Equalization |
| D2I 2.1 |
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting |
| Campos, Marcello |
AASP1.1 |
LMS Quasi-Newton and RLS Algorithms with Sparsity-Aware Updates applied to Communications |
| Candido, Renato |
AASP2.3 |
Can Adaptive Diffusion Networks Do Better with Less Data? |
| Cândido Ribeiro, Lucas |
R5.1 |
Small-Scale Propagation Characterization at 300 GHz in an industrial Environment |
| Canping, Yu |
RIS 3.5 |
Robust DOA Estimation in RIS-Assisted MISO Systems |
| Cardoso, Piettra |
R3.3 |
Achieving Super-Resolution Reconstruction in Optical Camera Communications |
| Carlini Monte da Silva, Gabriel |
R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| Carvalho, Marcelo |
Net.3 |
Impact of Rayleigh Fading Channel on IEEE 802.11ah Networks Under Restricted Access Window Mechanism |
| Net.4 |
Minimal Latency and Buffer-Constrained Gathering of Data in Sensor Networks |
| Castedo, Luis |
RIS 2.4 |
Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI |
| Cavalagli, Chiara |
D2I 2.2 |
Reinforcement Learning for Age of Information Aware Transmission Policies in Slotted ALOHA Channels |
| Chafii, Marwa |
ML2.1 |
Indoor Positioning Using Correlation Based Signal Analysis and Convolutional Neural Networks |
| Chang, Bruno |
R3.2 |
2D-FFT filter bank: an alternative waveform to OTFS in high mobility scenarios |
| Chang, Zheng |
D2I 1.3 |
Computation Offloading and Resource Allocation for Digital Twin-empowered Mobile Edge Computing |
| Chen, Yijian |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Chene, Thomas |
RIS 3.3 |
Adaptive Bayesian Method for RIS Passive Beamforming |
| Chevalier, Pascal |
R3.5 |
New Insights into the PAPR Computation and Analysis of Chip-Wise DSSS-FTN Signaling |
| Chien, Ying-Ren |
AASP2.2 |
Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation |
| Chitauro, Ronald |
R4.1 |
Real-Time Jamming Detection, Classification and Logging Using Computer Vision in 5G Private Networks |
| Choi, Junil |
Q1.1 |
Channel Estimation for RIS-Aided Communication Systems: A Task-Based Quantization Approach |
| Cruz, Hugo |
R5.2 |
Amazon Large-Scale Channel Modeling at 3.5GHz Based on Bio-Inspired Optimization |
| Cui, Zhuangzhuang |
D2I 1.3 |
Computation Offloading and Resource Allocation for Digital Twin-empowered Mobile Edge Computing |
| D A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| D'Amico, Antonio |
MIMO 4.5 |
Reduced-Complexity and Robust Uplink Signal Processing for Large-Scale MIMO |
| D'Andrea, Carmen |
MIMO 1.2 |
Scalability and Implementation Aspects of Cell-Free Massive MIMO for ISAC |
| da Costa, Daniel Benevides |
R6.1 |
Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers |
| da Silva, Bianca |
ML2.3 |
PAPR Reduction Technique for Mobile Communications System Based on Pattern Learning |
| Dahrouj, Hayssam |
MIMO 3.5 |
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection |
| Danaee, Alireza |
Q1.5 |
Performance Analysis of Distributed Quantization-Aware LMS Algorithm with Quantized Measurements |
| MIMO 5.1 |
Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems |
| DaSilva, Luiz |
Net.2 |
Eavesdropper Avoidance through Adaptive Beam Management in SDR-Based Mm-Wave Communications |
| de Almeida, André |
RIS 3.1 |
Low-Complexity Tensor-based Monostatic Sensing for IRS-Assisted Communication Systems |
| RIS 3.2 |
Joint Channel and Symbol Estimation for Hybrid RIS Wireless Communications |
| de Lamare, Rodrigo |
R2.1 |
Iterative Soft Intra-Cluster Interference Cancellation for Cell-Free Massive MIMO Networks |
| R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| AASP1.5 |
Robust Widely linear complex-valued combined step-size algorithm for beamforming |
| RSMA.4 |
Multi-Branch Tomlinson-Harashima Precoders for Rate-Splitting-Based Cell-Free MIMO Systems |
| R5.3 |
Vehicular MMW Communication: Channel Characterization Based on Ray Tracing Study |
| AASP2.1 |
Exploring Adaptive Beamformers with the Null Placing Sidelobe Suppression Algorithm |
| AASP2.4 |
Frequency Estimation and Tracking Based on DFT-Domain NLMS Filters |
| Q1.5 |
Performance Analysis of Distributed Quantization-Aware LMS Algorithm with Quantized Measurements |
| RIS 1.2 |
Iterative Detection and Decoding for RIS-Assisted Multiuser Multiple-Antenna Systems |
| AASP3.1 |
Robust Adaptive Filtering Based on the Hyperbolic Tangent Exponential Kernel M-Estimator Function |
| Coding.5 |
Weighted Residual Layered Belief Propagation for LDPC Decoding |
| R8.2 |
Routing Performance Evaluation in Centralized and Distributed FANETs for 6G Networks |
| de Matos, Edemir Marcus |
R7.3 |
Artificial Intelligence for Dynamic Resource Allocation of 5G FR2 Networks |
| de Moraes, Renato |
R1.3 |
M2M-TEE: A Many-to-Many Communication Multi-Channel and Timed Energy Efficient MAC Protocol for WSNs |
| de Omena Simas, João Pedro |
AASP2.4 |
Frequency Estimation and Tracking Based on DFT-Domain NLMS Filters |
| De Saint Moulin, François |
MIMO 1.5 |
Fair Beamforming Design for MIMO ISAC Systems |
| Dekorsy, Armin |
MIMO 5.1 |
Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems |
| Delaveau, François |
R3.5 |
New Insights into the PAPR Computation and Analysis of Chip-Wise DSSS-FTN Signaling |
| Demir, Özlem |
Q2.3 |
Performance Analysis for ISAC Systems with 1-bit DACs |
| Derakhshani, Mahsa |
MIMO 1.1 |
Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System |
| Di Lorenzo, Paolo |
D2I 2.1 |
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting |
| Di Renzo, Marco |
RIS 2.5 |
Multibeam Beamforming Design in RIS-aided SISO Communications Subject to Reradiation Masks |
| Ding, Zhiguo |
R6.6 |
Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System |
| Dinis, Rui |
R6.1 |
Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers |
| Diniz, Paulo |
AASP1.1 |
LMS Quasi-Newton and RLS Algorithms with Sparsity-Aware Updates applied to Communications |
| AASP1.2 |
Enhanced Target Localization based on Double RIS |
| Dörpinghaus, Meik |
Q1.2 |
Iterative Timing Estimation with 1-bit Quantization and Oversampling at the Receiver |
| Q2.5 |
Energy Optimization using Joint Modulation Scheme and Front End Adaptation - the Gearbox-PHY |
| dos Santos, Douglas |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| dos Santos, Elço João |
RSMA.2 |
RSMA-Aided Iterative Max-Age Scheduling for Multi-Source Systems |
| dos Santos, Herman |
RIS 2.1 |
Joint BS and RIS Element Selection with Large Arrays for EE Maximization |
| dos Santos Fonseca, Lucas |
R6.5 |
Resource Allocation for Spectral Efficiency Maximization in WPCN-NOMA Systems with Multiple IRSs |
| Douillard, Catherine |
Coding.3 |
Advanced Iteration Overlap for Low-Latency Turbo Decoding |
| Durisi, Giuseppe |
Q2.1 |
Deep-Learning-Based Channel-Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul |
| Dutra, Rodrigo |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| E A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Eldar, Yonina |
Q1.1 |
Channel Estimation for RIS-Aided Communication Systems: A Task-Based Quantization Approach |
| F A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| F. da Rocha, Carlos |
R3.2 |
2D-FFT filter bank: an alternative waveform to OTFS in high mobility scenarios |
| Fager, Christian |
Q2.1 |
Deep-Learning-Based Channel-Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul |
| Feijó, Jonas |
R7.5 |
Exploring Machine Learning Techniques for Path Loss Prediction in LoRa Networks |
| Feldman, Max |
R7.5 |
Exploring Machine Learning Techniques for Path Loss Prediction in LoRa Networks |
| Fernandes, Ana Clara |
R1.1 |
Connecting Customer Experience and Mobile Network Performance with Voronoi Tessellation |
| Ferreira, Hélio |
R5.2 |
Amazon Large-Scale Channel Modeling at 3.5GHz Based on Bio-Inspired Optimization |
| Ferreira, Tadeu |
AASP1.1 |
LMS Quasi-Newton and RLS Algorithms with Sparsity-Aware Updates applied to Communications |
| Ferreira-Maciel, Tarcisio |
R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| Fesl, Benedikt |
MIMO 2.3 |
Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models |
| Fettweis, Gerhard |
ML2.1 |
Indoor Positioning Using Correlation Based Signal Analysis and Convolutional Neural Networks |
| Q1.2 |
Iterative Timing Estimation with 1-bit Quantization and Oversampling at the Receiver |
| Q2.5 |
Energy Optimization using Joint Modulation Scheme and Front End Adaptation - the Gearbox-PHY |
| MIMO 4.4 |
On the Generalization of Machine Learning for mmWave Beam Prediction |
| Fischer, Robert |
MIMO 1.3 |
Lattice-Reduction-Aided Preprocessing for Physical-Layer Security |
| Flores, Andre |
R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| RSMA.4 |
Multi-Branch Tomlinson-Harashima Precoders for Rate-Splitting-Based Cell-Free MIMO Systems |
| AASP3.1 |
Robust Adaptive Filtering Based on the Hyperbolic Tangent Exponential Kernel M-Estimator Function |
| Fodor, Gabor |
MIMO 2.4 |
Adaptive Power Management for Maximizing Spectral Efficiency and QoS in Cell-Free Systems |
| RIS 3.1 |
Low-Complexity Tensor-based Monostatic Sensing for IRS-Assisted Communication Systems |
| Fraisse, Jean-Baptiste |
R3.5 |
New Insights into the PAPR Computation and Analysis of Chip-Wise DSSS-FTN Signaling |
| Franchi, Norman |
R4.3 |
LSTM-DNN-Based Joint Wireless Signal Waveform Classification and Blind Transmitter Localization |
| Freitas, Walter |
MIMO 2.4 |
Adaptive Power Management for Maximizing Spectral Efficiency and QoS in Cell-Free Systems |
| Fresnedo, Óscar |
RIS 2.4 |
Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI |
| Frolov, Alexey |
Coding.2 |
On the Design of LDPC-Based Error-Reducing Codes |
| G A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Gaber, Abdo |
MIMO 4.4 |
On the Generalization of Machine Learning for mmWave Beam Prediction |
| Gacanin, Haris |
MIMO 3.5 |
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection |
| Gao, Wei |
Green6G.2 |
Energy Efficiency Maximization for Multi-Node IoT Networks Operating with Finite Blocklength Codes |
| Garcia, David |
R1.2 |
Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation |
| Gast, Florian |
Q1.2 |
Iterative Timing Estimation with 1-bit Quantization and Oversampling at the Receiver |
| Q2.5 |
Energy Optimization using Joint Modulation Scheme and Front End Adaptation - the Gearbox-PHY |
| Gautier, Roland |
R3.5 |
New Insights into the PAPR Computation and Analysis of Chip-Wise DSSS-FTN Signaling |
| Gelabert, Xavier |
R1.2 |
Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation |
| Gelonch, Antoni |
R1.2 |
Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation |
| Giannella de Oliveira, Lucas |
AASP3.4 |
Random Cloud Least Mean-Squares Adaptive Filters |
| Gonzalez Castellanos, Pedro |
R5.5 |
Evaluation of MLP and LSTM ANNs for Signal Prediction in a Tunnel at 5.8 GHz Using Measurement Data |
| González-Coma, José |
RIS 2.4 |
Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI |
| Gourar, Eya |
MIMO 3.2 |
Cell-Free Massive MIMO with Imperfect Channel State Information and Hardware Impairments |
| Gross, James |
Green6G.2 |
Energy Efficiency Maximization for Multi-Node IoT Networks Operating with Finite Blocklength Codes |
| Guerra, Ageu |
R1.1 |
Connecting Customer Experience and Mobile Network Performance with Voronoi Tessellation |
| Guerra, David |
RIS 1.4 |
Matching Pursuit With Phase Rotation for RIS-Aided mmWave Channel Estimation |
| Guichemerre, Jérémy |
Q2.4 |
Mitigating SAR-ADC Non-Idealities in Massive MU-MIMO Systems via Affine Models |
| Guo, Ning |
Green6G.3 |
IRS Deployment in Wireless Powered Communication Network with Nonlinear Energy Harvesting |
| Guo, Peng |
AASP1.5 |
Robust Widely linear complex-valued combined step-size algorithm for beamforming |
| H A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Haardt, Martin |
AASP1.3 |
Probabilistic-Constrained Robust Beamforming for RIS-Aided Dynamic TDD Systems |
| MIMO 2.5 |
Channel Estimation for mmWave MIMO-OFDM Systems Using Time Domain 3-D Tensor-ESPRIT in DFT beamspace |
| Häger, Christian |
Q2.1 |
Deep-Learning-Based Channel-Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul |
| Hämäläinen, Timo |
D2I 1.3 |
Computation Offloading and Resource Allocation for Digital Twin-empowered Mobile Edge Computing |
| Hassanpour, Shayan |
MIMO 5.1 |
Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems |
| He, Hongsen |
AASP1.5 |
Robust Widely linear complex-valued combined step-size algorithm for beamforming |
| He, Lei |
AASP1.2 |
Enhanced Target Localization based on Double RIS |
| He, Qinwei |
Green6G.3 |
IRS Deployment in Wireless Powered Communication Network with Nonlinear Energy Harvesting |
| Hermont, Iam Kim |
AASP3.1 |
Robust Adaptive Filtering Based on the Hyperbolic Tangent Exponential Kernel M-Estimator Function |
| Hossain, Ekram |
RIS 1.4 |
Matching Pursuit With Phase Rotation for RIS-Aided mmWave Channel Estimation |
| Hu, Yulin |
Green6G.2 |
Energy Efficiency Maximization for Multi-Node IoT Networks Operating with Finite Blocklength Codes |
| D2I 1.1 |
Joint Trajectory and User Scheduling Design for UAV-Assisted Secure Communication |
| D2I 1.2 |
Dual-Task-Oriented Resource Allocation for Integrated Sensing and Communication |
| Huang, Gaojian |
Q2.2 |
Spectral Efficiency Analysis of Uplink RSMA-enabled Massive MIMO Systems With Mixed-ADCs |
| Huang, Yongming |
MIMO 3.4 |
Distributed Belief Propagation Detection for User-Centric Cell-Free Massive MIMO |
| Huang, Zeyu |
MIMO 2.2 |
Single Frequency vs. Broadband: Factors to Consider in Wideband RIS Configuration |
| Hüttebräucker, Tomás |
ML2.4 |
Soft Partitioning of Latent Space for Semantic Channel Equalization |
| I A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Inacio de Souza, João |
RIS 2.2 |
Enabling Decentralized Access Policy Selection by Exploiting RIS-Induced Channel Diversity |
| Ivars-Palomares, Alberto |
R8.1 |
Intelligent Heterogeneous Wireless Sensor Networks in Precision Agriculture |
| J A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Jäkel, Holger |
Coding.1 |
Improved Generalized Automorphism Belief Propagation Decoding |
| Jarraya, Zied |
MIMO 4.2 |
Multi-user Detection with Oversampled Large Antenna Arrays and Low-resolution ADCs |
| Joham, Michael |
MIMO 2.3 |
Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models |
| RIS 1.3 |
Performance Analysis of Systems with Coupled and Decoupled RISs |
| RIS 2.4 |
Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI |
| Jorswieck, Eduard |
RSMA.3 |
Rate-Splitting Downlink Transmission in Cell-Free Networks under Fronthaul Constraints |
| MIMO 3.1 |
On Massive Antenna Channel Models with Dependent Fading: Theory and Experiments |
| Junior, Iran Mesquita Braga |
R5.2 |
Amazon Large-Scale Channel Modeling at 3.5GHz Based on Bio-Inspired Optimization |
| R7.3 |
Artificial Intelligence for Dynamic Resource Allocation of 5G FR2 Networks |
| Junior, Rogério |
R3.2 |
2D-FFT filter bank: an alternative waveform to OTFS in high mobility scenarios |
| K A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Kanbaz, Ihsan |
MIMO 4.1 |
Beam-Steering in Super-Directive Antenna Arrays Using Loaded Parasitic Elements |
| Khan, Muhammad Qurratulain |
MIMO 4.4 |
On the Generalization of Machine Learning for mmWave Beam Prediction |
| Kibiłda, Jacek |
Net.2 |
Eavesdropper Avoidance through Adaptive Beam Management in SDR-Based Mm-Wave Communications |
| Kim, In-Soo |
Q1.1 |
Channel Estimation for RIS-Aided Communication Systems: A Task-Based Quantization Approach |
| Klaiqi, Bleron |
R1.2 |
Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation |
| Klautau, Aldebaro |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| Kleinschmidt, João |
R7.1 |
Enhancing IoT Intrusion Detection with Federated Learning-Based CNN-GRU and LSTM-GRU Ensembles |
| Klingelfus, Vitor |
AASP2.1 |
Exploring Adaptive Beamformers with the Null Placing Sidelobe Suppression Algorithm |
| Kuehn, Volker |
MIMO 4.3 |
Spatial Modulation and Sparse Regression Codes |
| Kühl, Sebastian |
R7.2 |
Transfer Learning for Handover Prediction in 5G Maritime Vehicular Networks |
| Kunst, Rafael |
R8.2 |
Routing Performance Evaluation in Centralized and Distributed FANETs for 6G Networks |
| Kunz, Luca |
RSMA.3 |
Rate-Splitting Downlink Transmission in Cell-Free Networks under Fronthaul Constraints |
| Kürner, Thomas |
R5.1 |
Small-Scale Propagation Characterization at 300 GHz in an industrial Environment |
| L A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Lamare, Rodrigo |
RIS 3.4 |
Reconfigurable intelligent surface-assisted massive MIMO system to reduce pilot contamination |
| RIS 3.5 |
Robust DOA Estimation in RIS-Assisted MISO Systems |
| Lambotharan, Sangarapillai |
MIMO 1.1 |
Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System |
| Landau, Lukas |
R2.1 |
Iterative Soft Intra-Cluster Interference Cancellation for Cell-Free Massive MIMO Networks |
| R5.3 |
Vehicular MMW Communication: Channel Characterization Based on Ray Tracing Study |
| Q1.3 |
RIS-based Passive Transmitter Reflection Optimization with Performance Complexity Trade-Offs |
| Q1.4 |
Improved Analysis of Comparator Network Aided Channel Estimation for MIMO Receivers with 1-Bit ADCs |
| Langendoerfer, Peter |
R4.1 |
Real-Time Jamming Detection, Classification and Logging Using Computer Vision in 5G Private Networks |
| Langolf, Alexandr |
R7.2 |
Transfer Learning for Handover Prediction in 5G Maritime Vehicular Networks |
| Latva-aho, Matti |
Green6G.1 |
Average Local EMF Exposure and Power Consumption of a RIS-assisted WET System |
| Le Ruyet, Didier |
R3.2 |
2D-FFT filter bank: an alternative waveform to OTFS in high mobility scenarios |
| MIMO 3.2 |
Cell-Free Massive MIMO with Imperfect Channel State Information and Hardware Impairments |
| Lee, Gyoseung |
Q1.1 |
Channel Estimation for RIS-Aided Communication Systems: A Task-Based Quantization Approach |
| Leite Francisco da Costa, Luis Antonio |
R8.2 |
Routing Performance Evaluation in Centralized and Distributed FANETs for 6G Networks |
| Li, Boyao |
Green6G.3 |
IRS Deployment in Wireless Powered Communication Network with Nonlinear Energy Harvesting |
| Li, Liping |
AASP1.2 |
Enhanced Target Localization based on Double RIS |
| Li, Xingwang |
Q2.2 |
Spectral Efficiency Analysis of Uplink RSMA-enabled Massive MIMO Systems With Mixed-ADCs |
| Li, Xinmin |
Green6G.4 |
Secure Communications in Near-field ISCAP Systems with Extremely Large-Scale Antenna Arrays |
| Green6G.5 |
Energy-Optimised Design for Secure-Reliability within Finite Blocklength Regime |
| Li, Yingsong |
AASP1.2 |
Enhanced Target Localization based on Double RIS |
| RIS 3.4 |
Reconfigurable intelligent surface-assisted massive MIMO system to reduce pilot contamination |
| RIS 3.5 |
Robust DOA Estimation in RIS-Assisted MISO Systems |
| Liang, Fengyu |
MIMO 5.2 |
Machine Learning-Enabled Joint Codebook Design and Beam Selection |
| Liesegang, Sergi |
MIMO 1.2 |
Scalability and Implementation Aspects of Cell-Free Massive MIMO for ISAC |
| Lima, Brena |
R6.1 |
Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers |
| Lima, Francisco |
R6.2 |
Adaptive Power Allocation among Private and Common Streams for Multicarrier RSMA System |
| R6.4 |
Optimization-based solution for data rate maximization with QoS guarantees for IRS-aided NOMA-WPCN |
| R6.5 |
Resource Allocation for Spectral Efficiency Maximization in WPCN-NOMA Systems with Multiple IRSs |
| R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| Lima, João Paulo |
R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| Lima, Markus |
AASP1.1 |
LMS Quasi-Newton and RLS Algorithms with Sparsity-Aware Updates applied to Communications |
| Lin, Dingjia |
R6.6 |
Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System |
| Liu, Wei |
AASP2.5 |
A 1.5-bit Quantization Scheme and Its Application to Sparse Array Direction Estimation |
| Liu, Zhaoxu |
D2I 1.2 |
Dual-Task-Oriented Resource Allocation for Integrated Sensing and Communication |
| Lloret, Jaime |
R8.1 |
Intelligent Heterogeneous Wireless Sensor Networks in Precision Agriculture |
| R8.4 |
LoRa Video Streaming in Rural Wireless Multimedia Sensor Networks |
| Lopes, Cassio |
AASP2.4 |
Frequency Estimation and Tracking Based on DFT-Domain NLMS Filters |
| AASP3.4 |
Random Cloud Least Mean-Squares Adaptive Filters |
| Lopes, Erico |
Q1.3 |
RIS-based Passive Transmitter Reflection Optimization with Performance Complexity Trade-Offs |
| López, Onel L. |
Green6G.1 |
Average Local EMF Exposure and Power Consumption of a RIS-assisted WET System |
| Lu, Xicheng |
AASP2.5 |
A 1.5-bit Quantization Scheme and Its Application to Sparse Array Direction Estimation |
| Lübke, Maximilian |
R4.3 |
LSTM-DNN-Based Joint Wireless Signal Waveform Classification and Blind Transmitter Localization |
| Luiz, Vinícius |
R4.4 |
Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection |
| Luo, Lin |
AASP1.5 |
Robust Widely linear complex-valued combined step-size algorithm for beamforming |
| Lyu, Zhonghao |
D2I 2.3 |
Semantic Communications for 3D Human Face Transmission with Neural Radiance Fields |
| M A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Magalhaes, Amarilton |
RIS 3.2 |
Joint Channel and Symbol Estimation for Hybrid RIS Wireless Communications |
| Magalhães, Wilson |
R1.1 |
Connecting Customer Experience and Mobile Network Performance with Voronoi Tessellation |
| Mahana, Charlie |
Net.4 |
Minimal Latency and Buffer-Constrained Gathering of Data in Sensor Networks |
| Makki, Behrooz |
R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| RIS 3.1 |
Low-Complexity Tensor-based Monostatic Sensing for IRS-Assisted Communication Systems |
| Mandelbaum, Jonathan |
Coding.1 |
Improved Generalized Automorphism Belief Propagation Decoding |
| Mann, Florian |
Q1.2 |
Iterative Timing Estimation with 1-bit Quantization and Oversampling at the Receiver |
| Marinello, José |
RIS 2.3 |
User Clustering and Phase-Shift Design for RIS-Aided Systems Based on Statistical CSI |
| Martinez Rosabal, Osmel |
Green6G.1 |
Average Local EMF Exposure and Power Consumption of a RIS-assisted WET System |
| Mashdour, Saeed |
R2.1 |
Iterative Soft Intra-Cluster Interference Cancellation for Cell-Free Massive MIMO Networks |
| R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| Matos, Leni |
R5.5 |
Evaluation of MLP and LSTM ANNs for Signal Prediction in a Tunnel at 5.8 GHz Using Measurement Data |
| Matos-Carvalho, João Pedro |
R6.1 |
Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers |
| Matthaiou, Michail |
MIMO 4.1 |
Beam-Steering in Super-Directive Antenna Arrays Using Loaded Parasitic Elements |
| Mayer, Kayol |
R4.4 |
Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection |
| Medeiros, Eduardo |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| Medley, Michael |
MIMO 5.4 |
Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations |
| Mello, Mariana |
ML2.3 |
PAPR Reduction Technique for Mobile Communications System Based on Pattern Learning |
| Melo de Pinho, Carlos Augusto |
R6.4 |
Optimization-based solution for data rate maximization with QoS guarantees for IRS-aided NOMA-WPCN |
| R6.5 |
Resource Allocation for Spectral Efficiency Maximization in WPCN-NOMA Systems with Multiple IRSs |
| Mendes, Luciano |
ML2.3 |
PAPR Reduction Technique for Mobile Communications System Based on Pattern Learning |
| Merluzzi, Mattia |
D2I 2.1 |
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting |
| Mestre, Xavier |
MIMO 5.3 |
Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics |
| Mezghani, Amine |
Q1.3 |
RIS-based Passive Transmitter Reflection Optimization with Performance Complexity Trade-Offs |
| MIMO 4.2 |
Multi-user Detection with Oversampled Large Antenna Arrays and Low-resolution ADCs |
| Miao, Sisi |
Coding.1 |
Improved Generalized Automorphism Belief Propagation Decoding |
| Mohajerzadeh, AmirHossien |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| Mohammadi, Mohammadali |
MIMO 4.1 |
Beam-Steering in Super-Directive Antenna Arrays Using Loaded Parasitic Elements |
| Monteiro, Victor |
R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| Montejo, Samuel |
Green6G.1 |
Average Local EMF Exposure and Power Consumption of a RIS-assisted WET System |
| Moraes, Naomi |
AASP3.2 |
A faster RLS-DCD adaptive filtering algorithm |
| Moreira, Darlan |
R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| Müller, Ivan |
R7.5 |
Exploring Machine Learning Techniques for Path Loss Prediction in LoRa Networks |
| Müller, Ralf |
MIMO 3.3 |
Multi-Antenna Towards In-band Shift Keying |
| Munari, Andrea |
D2I 2.2 |
Reinforcement Learning for Age of Information Aware Transmission Policies in Slotted ALOHA Channels |
| N A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Nadal, Jeremy |
Coding.3 |
Advanced Iteration Overlap for Low-Latency Turbo Decoding |
| Naderi, Sanaz |
MIMO 5.4 |
Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations |
| Nallanathan, A |
Q2.2 |
Spectral Efficiency Analysis of Uplink RSMA-enabled Massive MIMO Systems With Mixed-ADCs |
| MIMO 5.5 |
Attention-enabled Channel Estimation for STAR-RIS-aided Indoor and Outdoor MIMO |
| Nascimento, Vitor |
Q1.5 |
Performance Analysis of Distributed Quantization-Aware LMS Algorithm with Quantized Measurements |
| AASP3.2 |
A faster RLS-DCD adaptive filtering algorithm |
| Ng, Derrick Wing Kwan |
Green6G.4 |
Secure Communications in Near-field ISCAP Systems with Extremely Large-Scale Antenna Arrays |
| Nimr, Ahmad |
ML2.1 |
Indoor Positioning Using Correlation Based Signal Analysis and Convolutional Neural Networks |
| Njima, Wafa |
ML2.5 |
Radar Interference Mitigation Using CNN Autoencoders with Spatial Attention |
| Nossek, Josef |
RIS 1.3 |
Performance Analysis of Systems with Coupled and Decoupled RISs |
| Nouri, Hatef |
MIMO 5.4 |
Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations |
| Nwalozie, Gerald |
AASP1.3 |
Probabilistic-Constrained Robust Beamforming for RIS-Aided Dynamic TDD Systems |
| O A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Oestges, Claude |
MIMO 1.5 |
Fair Beamforming Design for MIMO ISAC Systems |
| Okey, Ogobuchi |
R7.1 |
Enhancing IoT Intrusion Detection with Federated Learning-Based CNN-GRU and LSTM-GRU Ensembles |
| Oliveira, Rodolfo |
Net.5 |
Distributed Access in Full-duplex Directional Multi-Packet Reception Wireless Networks |
| R6.1 |
Trajectory Design for RSMA Networks Assisted by AIRS with LSTM and Transformers |
| Omid, Yasaman |
MIMO 1.1 |
Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System |
| P A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Pachnicke, Stephan |
R7.2 |
Transfer Learning for Handover Prediction in 5G Maritime Vehicular Networks |
| Pados, Dimitris |
MIMO 5.4 |
Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations |
| Pan, Yijin |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Pang, Baohe |
RIS 3.4 |
Reconfigurable intelligent surface-assisted massive MIMO system to reduce pilot contamination |
| Parra, Lorena |
R8.4 |
LoRa Video Streaming in Rural Wireless Multimedia Sensor Networks |
| Parvini, Mohammad |
MIMO 4.4 |
On the Generalization of Machine Learning for mmWave Beam Prediction |
| Peng, Bile |
RSMA.3 |
Rate-Splitting Downlink Transmission in Cell-Free Networks under Fronthaul Constraints |
| Pereira, Emanuel |
R6.2 |
Adaptive Power Allocation among Private and Common Streams for Multicarrier RSMA System |
| Pereira, Roberto |
MIMO 5.3 |
Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics |
| Pérez-Adán, Darian |
RIS 2.4 |
Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI |
| Pérez-Romero, Jordi |
R1.2 |
Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation |
| Perner, Bastian |
R4.3 |
LSTM-DNN-Based Joint Wireless Signal Waveform Classification and Blind Transmitter Localization |
| Petraglia, Felipe |
AASP3.3 |
Improvements in Blind Separation of Speech Signals in Reverberant Rooms |
| Petraglia, Mariane |
AASP3.3 |
Improvements in Blind Separation of Speech Signals in Reverberant Rooms |
| Pignaton de Freitas, Edison |
R8.2 |
Routing Performance Evaluation in Centralized and Distributed FANETs for 6G Networks |
| Polvani, Gabriel |
RIS 2.2 |
Enabling Decentralized Access Policy Selection by Exploiting RIS-Induced Channel Diversity |
| Porto, Roberto |
RIS 1.2 |
Iterative Detection and Decoding for RIS-Assisted Multiuser Multiple-Antenna Systems |
| Poulakis, Marios |
RIS 2.5 |
Multibeam Beamforming Design in RIS-aided SISO Communications Subject to Reradiation Masks |
| Prakash, Ravi |
Net.4 |
Minimal Latency and Buffer-Constrained Gathering of Data in Sensor Networks |
| Prete, Carlos Augusto |
AASP3.2 |
A faster RLS-DCD adaptive filtering algorithm |
| Q A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Qin, Zhijin |
MIMO 5.5 |
Attention-enabled Channel Estimation for STAR-RIS-aided Indoor and Outdoor MIMO |
| Qiu, Ling |
Green6G.4 |
Secure Communications in Near-field ISCAP Systems with Extremely Large-Scale Antenna Arrays |
| Queluz, Maria Paula |
R4.2 |
Enhancing Robustness for Automated Mobile Network Optimization by Uncovering Causal Relationships |
| R A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Raghunath, Ramprasad |
RSMA.3 |
Rate-Splitting Downlink Transmission in Cell-Free Networks under Fronthaul Constraints |
| Rakhimov, Damir |
MIMO 2.5 |
Channel Estimation for mmWave MIMO-OFDM Systems Using Time Domain 3-D Tensor-ESPRIT in DFT beamspace |
| Ramalho, Leonardo |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| Rebelatto, João |
RSMA.2 |
RSMA-Aided Iterative Max-Age Scheduling for Multi-Source Systems |
| Reifert, Robert-Jeron |
MIMO 3.5 |
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection |
| Rekaya, Ghaya |
RIS 3.3 |
Adaptive Bayesian Method for RIS Passive Beamforming |
| Ren, Yuqing |
Coding.4 |
Design of Concatenated Product Codes with Spatially-Coupled LDPC Codes |
| Ren, ZiXiang |
Green6G.4 |
Secure Communications in Near-field ISCAP Systems with Extremely Large-Scale Antenna Arrays |
| Rocha Baradelli, André |
R5.2 |
Amazon Large-Scale Channel Modeling at 3.5GHz Based on Bio-Inspired Optimization |
| Rodrigues, António |
R4.2 |
Enhancing Robustness for Automated Mobile Network Optimization by Uncovering Causal Relationships |
| Rodriguez, Demostenes Zegarra |
R7.1 |
Enhancing IoT Intrusion Detection with Federated Learning-Based CNN-GRU and LSTM-GRU Ensembles |
| Rodríguez-Mejía, Jose |
R8.1 |
Intelligent Heterogeneous Wireless Sensor Networks in Precision Agriculture |
| Roth, Florian |
Q2.5 |
Energy Optimization using Joint Modulation Scheme and Front End Adaptation - the Gearbox-PHY |
| Rupp, Markus |
MIMO 2.2 |
Single Frequency vs. Broadband: Factors to Consider in Wideband RIS Configuration |
| R5.4 |
Enhancing Mobile Communication on Railways: Impact of Train Window Size and Coating |
| Rybin, Pavel |
Coding.2 |
On the Design of LDPC-Based Error-Reducing Codes |
| S A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Salehi, Shirin |
R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| Sallent, Oriol |
R1.2 |
Low Layer Functional Split Management in 5G and Beyond: Architecture and Self-adaptation |
| Salman, Murat |
Q2.3 |
Performance Analysis for ISAC Systems with 1-bit DACs |
| Sampaio, Luiz |
Q1.4 |
Improved Analysis of Comparator Network Aided Channel Estimation for MIMO Receivers with 1-Bit ADCs |
| Sana, Mohamed |
ML2.4 |
Soft Partitioning of Latent Space for Semantic Channel Equalization |
| Sanguinetti, Luca |
MIMO 4.5 |
Reduced-Complexity and Robust Uplink Signal Processing for Large-Scale MIMO |
| Santos, Joao |
Net.2 |
Eavesdropper Avoidance through Adaptive Beam Management in SDR-Based Mm-Wave Communications |
| Santos Cruz Rodrigues, Igor |
R3.4 |
Color-Selective Interference Equalization in Color-Shift Keying (CSK) Systems |
| Saraiva, Juno |
MIMO 2.4 |
Adaptive Power Management for Maximizing Spectral Efficiency and QoS in Cell-Free Systems |
| Saunders Filho, Claudio |
AASP2.1 |
Exploring Adaptive Beamformers with the Null Placing Sidelobe Suppression Algorithm |
| Schappmann, Christian |
R2.2 |
Scalable Cell-Free Massive MIMO with Fully Distributed Large-Scale Fading Decoding |
| Schlegel, Peter |
MIMO 3.1 |
On Massive Antenna Channel Models with Dependent Fading: Theory and Experiments |
| Schmalen, Laurent |
Coding.1 |
Improved Generalized Automorphism Belief Propagation Decoding |
| Schmeink, Anke |
R2.3 |
Robust User Scheduling and Power Allocation in Cell-Free Massive MIMO Networks |
| Green6G.3 |
IRS Deployment in Wireless Powered Communication Network with Nonlinear Energy Harvesting |
| Green6G.5 |
Energy-Optimised Design for Secure-Reliability within Finite Blocklength Regime |
| D2I 1.2 |
Dual-Task-Oriented Resource Allocation for Integrated Sensing and Communication |
| Schulz, Leonard |
R2.2 |
Scalable Cell-Free Massive MIMO with Fully Distributed Large-Scale Fading Decoding |
| Schulz, Philipp |
MIMO 4.4 |
On the Generalization of Machine Learning for mmWave Beam Prediction |
| Schulz, Rebekka |
MIMO 1.3 |
Lattice-Reduction-Aided Preprocessing for Physical-Layer Security |
| Schwarz, Stefan |
MIMO 2.2 |
Single Frequency vs. Broadband: Factors to Consider in Wideband RIS Configuration |
| Schwendemann, Nils |
Coding.1 |
Improved Generalized Automorphism Belief Propagation Decoding |
| Sega, Pedro |
RIS 2.3 |
User Clustering and Phase-Shift Design for RIS-Aided Systems Based on Statistical CSI |
| Semmler, Dominik |
RIS 1.3 |
Performance Analysis of Systems with Coupled and Decoupled RISs |
| Sen, Padmanava |
Q2.5 |
Energy Optimization using Joint Modulation Scheme and Front End Adaptation - the Gearbox-PHY |
| Sendra, Sandra |
R8.1 |
Intelligent Heterogeneous Wireless Sensor Networks in Precision Agriculture |
| R8.4 |
LoRa Video Streaming in Rural Wireless Multimedia Sensor Networks |
| Sezgin, Aydin |
RSMA.1 |
Dynamic Rate Splitting Grouping for Antifragile Responses to Wireless Network Disruptions |
| MIMO 3.5 |
Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection |
| RIS 1.1 |
Show Me the Way: Real-Time Tracking of Wireless Mobile Users with UWB-Enabled RIS |
| Shaiek, Hmaied |
MIMO 3.2 |
Cell-Free Massive MIMO with Imperfect Channel State Information and Hardware Impairments |
| Shanin, Nikita |
R4.3 |
LSTM-DNN-Based Joint Wireless Signal Waveform Classification and Blind Transmitter Localization |
| Shatov, Victor |
R4.3 |
LSTM-DNN-Based Joint Wireless Signal Waveform Classification and Blind Transmitter Localization |
| Shen, Wenhan |
MIMO 5.5 |
Attention-enabled Channel Estimation for STAR-RIS-aided Indoor and Outdoor MIMO |
| Shen, Yifei |
Coding.4 |
Design of Concatenated Product Codes with Spatially-Coupled LDPC Codes |
| Shi, Chenhao |
Green6G.5 |
Energy-Optimised Design for Secure-Reliability within Finite Blocklength Regime |
| Silva, Bruno |
R5.2 |
Amazon Large-Scale Channel Modeling at 3.5GHz Based on Bio-Inspired Optimization |
| R7.3 |
Artificial Intelligence for Dynamic Resource Allocation of 5G FR2 Networks |
| Silva, Magno |
AASP2.3 |
Can Adaptive Diffusion Networks Do Better with Less Data? |
| Silva, Yuri |
MIMO 2.4 |
Adaptive Power Management for Maximizing Spectral Efficiency and QoS in Cell-Free Systems |
| Simegn, Dawit |
Coding.2 |
On the Design of LDPC-Based Error-Reducing Codes |
| Sklivanitis, George |
MIMO 5.4 |
Dynamic Interference Avoidance in the Joint Space-Time Domain with Arbitrary Antenna Formations |
| Soares, Jonathan |
R4.4 |
Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection |
| Soares, Stephanie |
Net.3 |
Impact of Rayleigh Fading Channel on IEEE 802.11ah Networks Under Restricted Access Window Mechanism |
| Sokal, Bruno |
RIS 3.1 |
Low-Complexity Tensor-based Monostatic Sensing for IRS-Assisted Communication Systems |
| Song, Qinghua |
D2I 1.4 |
Trajectory and User Scheduling Design for UAV Semantic Communication in PLoS Channels |
| Sousa, Diego |
AASP1.4 |
A Bayesian Algorithm for GNSS Time-Delay Estimation Using an Uncalibrated Array |
| R8.3 |
Impact of Network Deployment on the Performance of NCR-assisted Networks |
| Sousa, Marco |
R4.2 |
Enhancing Robustness for Automated Mobile Network Optimization by Uncovering Causal Relationships |
| Souto, Victoria |
RIS 1.5 |
PSO-based Optimization of STAR-RIS aided NOMA Wireless Communication Networks |
| Souza, Daniel |
R5.2 |
Amazon Large-Scale Channel Modeling at 3.5GHz Based on Bio-Inspired Optimization |
| R7.3 |
Artificial Intelligence for Dynamic Resource Allocation of 5G FR2 Networks |
| Souza, Gustavo |
ML2.2 |
Machine Learning-based Holdover for IEEE 1588 PTP Packet Fronthauling |
| Souza, Marcio |
R3.1 |
Minimum Peak Energy QAM Constellations |
| Souza, Richard |
RSMA.2 |
RSMA-Aided Iterative Max-Age Scheduling for Multi-Source Systems |
| Green6G.1 |
Average Local EMF Exposure and Power Consumption of a RIS-assisted WET System |
| RIS 1.5 |
PSO-based Optimization of STAR-RIS aided NOMA Wireless Communication Networks |
| Souza, Thainá |
R1.1 |
Connecting Customer Experience and Mobile Network Performance with Voronoi Tessellation |
| Souza Junior, Wilson |
RIS 2.1 |
Joint BS and RIS Element Selection with Large Arrays for EE Maximization |
| Ssettumba, Tonny |
R2.1 |
Iterative Soft Intra-Cluster Interference Cancellation for Cell-Free Massive MIMO Networks |
| Studer, Christoph |
MIMO 2.1 |
Deep-Unfolded Joint Activity and Data Detection for Grant-Free Transmission in Cell-Free Systems |
| Q2.4 |
Mitigating SAR-ADC Non-Idealities in Massive MU-MIMO Systems via Affine Models |
| Su, Yanpeng |
R4.3 |
LSTM-DNN-Based Joint Wireless Signal Waveform Classification and Blind Transmitter Localization |
| Sun, Gangle |
MIMO 2.1 |
Deep-Unfolded Joint Activity and Data Detection for Grant-Free Transmission in Cell-Free Systems |
| Svoboda, Philipp |
R5.4 |
Enhancing Mobile Communication on Railways: Impact of Train Window Size and Coating |
| Swindlehurst, Lee |
Q1.1 |
Channel Estimation for RIS-Aided Communication Systems: A Task-Based Quantization Approach |
| T A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Tan, Xiaosi |
MIMO 3.4 |
Distributed Belief Propagation Detection for User-Centric Cell-Free Massive MIMO |
| Tang, Anzheng |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Tao, Xiaoming |
MIMO 5.5 |
Attention-enabled Channel Estimation for STAR-RIS-aided Indoor and Outdoor MIMO |
| Tewes, Simon |
RIS 1.1 |
Show Me the Way: Real-Time Tracking of Wireless Mobile Users with UWB-Enabled RIS |
| Thiran, Guillaume |
MIMO 1.5 |
Fair Beamforming Design for MIMO ISAC Systems |
| Tiglea, Daniel |
AASP2.3 |
Can Adaptive Diffusion Networks Do Better with Less Data? |
| Touati, Hassan |
Coding.5 |
Weighted Residual Layered Belief Propagation for LDPC Decoding |
| Tran, Linh |
AASP2.2 |
Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation |
| Tripkovic, Sonja |
R5.4 |
Enhancing Mobile Communication on Railways: Impact of Train Window Size and Coating |
| Turan, Nurettin |
MIMO 2.3 |
Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models |
| U A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Uchôa-Filho, Bartolomeu |
RIS 1.5 |
PSO-based Optimization of STAR-RIS aided NOMA Wireless Communication Networks |
| Utschick, Wolfgang |
MIMO 2.3 |
Channel-Adaptive Pilot Design for FDD-MIMO Systems Utilizing Gaussian Mixture Models |
| RIS 1.3 |
Performance Analysis of Systems with Coupled and Decoupled RISs |
| RIS 2.4 |
Weighted MSE Minimization for RIS-aided Multiuser MIMO OFDM Systems with ICSI |
| Uysal, Murat |
R5.3 |
Vehicular MMW Communication: Channel Characterization Based on Ray Tracing Study |
| V A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Vandendorpe, Luc |
MIMO 1.5 |
Fair Beamforming Design for MIMO ISAC Systems |
| Vidal, Daniel |
AASP3.2 |
A faster RLS-DCD adaptive filtering algorithm |
| Vieira, Andre |
Net.1 |
Optimal Packet Size in Optical Wireless Communication |
| Vieira, Luiz |
Net.1 |
Optimal Packet Size in Optical Wireless Communication |
| Vieira, Marcos |
Net.1 |
Optimal Packet Size in Optical Wireless Communication |
| Vieira, Pedro |
R4.2 |
Enhancing Robustness for Automated Mobile Network Optimization by Uncovering Causal Relationships |
| Vieira, Pedro |
R5.5 |
Evaluation of MLP and LSTM ANNs for Signal Prediction in a Tunnel at 5.8 GHz Using Measurement Data |
| W A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Wang, Jun-Bo |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Wang, Kaidi |
R6.6 |
Uplink Data Rate Maximization with Channel Uncertainties in BackCom NOMA System |
| Wang, Shumin |
RIS 2.5 |
Multibeam Beamforming Design in RIS-aided SISO Communications Subject to Reradiation Masks |
| Wang, Wenjin |
MIMO 2.1 |
Deep-Unfolded Joint Activity and Data Detection for Grant-Free Transmission in Cell-Free Systems |
| Wang, Xiaoyao |
Q2.2 |
Spectral Efficiency Analysis of Uplink RSMA-enabled Massive MIMO Systems With Mixed-ADCs |
| Wang, Xinran |
D2I 1.1 |
Joint Trajectory and User Scheduling Design for UAV-Assisted Secure Communication |
| Weber, Maik |
MIMO 3.1 |
On Massive Antenna Channel Models with Dependent Fading: Theory and Experiments |
| Weinberger, Kevin |
RSMA.1 |
Dynamic Rate Splitting Grouping for Antifragile Responses to Wireless Network Disruptions |
| RIS 1.1 |
Show Me the Way: Real-Time Tracking of Wireless Mobile Users with UWB-Enabled RIS |
| Weithoffer, Stefan |
Coding.3 |
Advanced Iteration Overlap for Low-Latency Turbo Decoding |
| Weng, Yu-Xiang |
AASP2.2 |
Correntropy-based Data-Selective Adaptive Filtering Algorithms for Acoustic Feedback Cancellation |
| Wu, Guanlin |
D2I 2.3 |
Semantic Communications for 3D Human Face Transmission with Neural Radiance Fields |
| Wu, Peng |
D2I 1.1 |
Joint Trajectory and User Scheduling Design for UAV-Assisted Secure Communication |
| D2I 1.4 |
Trajectory and User Scheduling Design for UAV Semantic Communication in PLoS Channels |
| Wu, Wenxin |
D2I 1.3 |
Computation Offloading and Resource Allocation for Digital Twin-empowered Mobile Edge Computing |
| Wübben, Dirk |
MIMO 5.1 |
Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems |
| X A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Xiao, Wudang |
RIS 3.5 |
Robust DOA Estimation in RIS-Assisted MISO Systems |
| Ximenes, Leandro |
R3.3 |
Achieving Super-Resolution Reconstruction in Optical Camera Communications |
| R3.4 |
Color-Selective Interference Equalization in Color-Shift Keying (CSK) Systems |
| Xu, Jie |
Green6G.4 |
Secure Communications in Near-field ISCAP Systems with Extremely Large-Scale Antenna Arrays |
| D2I 2.3 |
Semantic Communications for 3D Human Face Transmission with Neural Radiance Fields |
| Xu, Wei |
MIMO 2.1 |
Deep-Unfolded Joint Activity and Data Detection for Grant-Free Transmission in Cell-Free Systems |
| Y A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Yang, Kaining |
MIMO 3.4 |
Distributed Belief Propagation Detection for User-Centric Cell-Free Massive MIMO |
| Yener, Onur |
R4.1 |
Real-Time Jamming Detection, Classification and Logging Using Computer Vision in 5G Private Networks |
| Ying, Run |
AASP1.2 |
Enhanced Target Localization based on Double RIS |
| Yu, Hongkang |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Yu, Yi |
AASP1.5 |
Robust Widely linear complex-valued combined step-size algorithm for beamforming |
| Yuan, Xiaopeng |
Green6G.3 |
IRS Deployment in Wireless Powered Communication Network with Nonlinear Energy Harvesting |
| D2I 1.1 |
Joint Trajectory and User Scheduling Design for UAV-Assisted Secure Communication |
| D2I 1.4 |
Trajectory and User Scheduling Design for UAV Semantic Communication in PLoS Channels |
| Yurduseven, Okan |
MIMO 4.1 |
Beam-Steering in Super-Directive Antenna Arrays Using Loaded Parasitic Elements |
| Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z |
| Zakharov, Yuriy |
AASP3.2 |
A faster RLS-DCD adaptive filtering algorithm |
| Zaragoza-Esquerdo, Miguel |
R8.4 |
LoRa Video Streaming in Rural Wireless Multimedia Sensor Networks |
| Zeitz, Stephan |
Q1.2 |
Iterative Timing Estimation with 1-bit Quantization and Oversampling at the Receiver |
| Q2.5 |
Energy Optimization using Joint Modulation Scheme and Front End Adaptation - the Gearbox-PHY |
| Zeng, Cheng |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Zeng, Ming |
Q2.2 |
Spectral Efficiency Analysis of Uplink RSMA-enabled Massive MIMO Systems With Mixed-ADCs |
| Zhang, Chuan |
MIMO 3.4 |
Distributed Belief Propagation Detection for User-Centric Cell-Free Massive MIMO |
| Zhang, Juyong |
D2I 2.3 |
Semantic Communications for 3D Human Face Transmission with Neural Radiance Fields |
| Zhang, Siyao |
Green6G.4 |
Secure Communications in Near-field ISCAP Systems with Extremely Large-Scale Antenna Arrays |
| Zhang, Wence |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Zhang, Xiaodan |
MIMO 1.4 |
Joint Visibility Region Detection and Channel Estimation for Extra-Large MIMO Systems |
| Zhang, Yu |
D2I 1.1 |
Joint Trajectory and User Scheduling Design for UAV-Assisted Secure Communication |
| D2I 1.4 |
Trajectory and User Scheduling Design for UAV Semantic Communication in PLoS Channels |
| Zhao, Yizhen |
Green6G.2 |
Energy Efficiency Maximization for Multi-Node IoT Networks Operating with Finite Blocklength Codes |
| Zhou, Wenyue |
MIMO 3.4 |
Distributed Belief Propagation Detection for User-Centric Cell-Free Massive MIMO |
| Zhu, Yao |
Green6G.2 |
Energy Efficiency Maximization for Multi-Node IoT Networks Operating with Finite Blocklength Codes |
| Green6G.5 |
Energy-Optimised Design for Secure-Reliability within Finite Blocklength Regime |
| D2I 1.2 |
Dual-Task-Oriented Resource Allocation for Integrated Sensing and Communication |
| Zlatanov, Nikola |
RIS 3.4 |
Reconfigurable intelligent surface-assisted massive MIMO system to reduce pilot contamination |
| RIS 3.5 |
Robust DOA Estimation in RIS-Assisted MISO Systems |
| Zou, Dingcheng |
RIS 3.5 |
Robust DOA Estimation in RIS-Assisted MISO Systems |