Implementation and system level performance analysis of NOMA

Abstract

Utilizing non-orthogonal multiple access (NOMA) in the downlink leads to enhancement in the capacity of the communication network and improves its spectral efficiency. It can theoretically service any number of users in each time/frequency slot, in contrast to orthogonal multiple access (OMA) techniques that only serve one user per slot. This technique is of great importance when it comes to 5G and beyond 5G for mobile communication as there is a need for massive connectivity, high spectral efficiency, and high system throughput. Hence the aim of this thesis is to implement NOMA using software defined radio (SDR). We also observe the execution time and memory usage for three distinct channel encoders/decoders used for implementing NOMA namely hamming code, convolutional code and LDPC code. Calculation of the bit error rate of each type of encoder is done to determine the more efficient encoder.