Performance Analysis of Bi-orthogonality Based Systems for 5G Internet of Machine Critical Things Communications
Ravi Sekhar Yarrabothu (Vignan's Foundation for Science Technology and Research, India); Usha Rani Nelakuditi (Vignan's University, India)
The larger set of connections between the devices via the Inter-net, well-known as the Internet of Things (IoT). The mandate for 5G cellular communication is to support the IoT, and Internet of Machine Critical Things (IoMCT) communications along with traditional voice, video and data communications. The IoMCT plays a crucial role in machine critical tasks such as battlefields, disaster management, and infrastructure surveillance. IoMCT applications demands ultra low cost and low power solutions. In order to cater the needs of IoMCT services, innovative physical layer solutions are need to be developed based on the existing Long Term Evolution (LTE) 4G cellular systems. One such solution is to design a new waveform for the 5G cellular communication systems which can handle a diversified requirements and varied traffic types. In this paper, a new access method within the ambit of 3GPP defined LTE procedures is discussed to support IoMCT generated sporadic traffic. The main problem to be addressed is handling of simultaneous transmission of data and control traffic. A new waveform based on bi-orthogonal frequency division multiplexing with Offset Quadrature Amplitude Modulation (OQAM) is proposed in this paper. BFDM system with QAM and OQAM are simulated using Matlab Software and the simulation results shows that the proposed the OQAM based BFDM waveform approach is better compared to the conventional random access using OFDM under various real time fading conditions defined by 3GPP for LTE.
Journal: International Journal of Simulation: Systems, Science and Technology IJSSST V19
Published: Mar 30, 2019