Performance analysis of NOMA using different types Receivers

The 5G supports several technologies aimed at improving the performance of the communication networks in terms of the sender, channel, and receiver. One of these techniques, Non-Orthogonal Multiple Access (NOMA) that improves transmission performance and channel access. NOMA completes performance in the receiver. This paper analyzes NOMA performance evaluation in two methods. The first method compares the efficiency of different types of NOMA receiver schemes such as Zero Forcing (ZF), Maximum Likelihood (ML), Sphere, and Minimum Mean Square-Error (MMSE). The second method changes the pattern of user sites for NOMA cell and suggests an optimal NOMA receiver scheme to serve users at the Cell Edge (CE) and obtain a greater user throughput rate. Simulation performed with the Vienna 5G Link Level Simulator (LLS), and modulation type used in encoding is Orthogonal Frequency Division Multiplexing (OFDM). Also, the low-density parity test (LDPC) coding is used. The results show the influence of the receivers, changing the receivers (ZF, MMSE) does not affect the throughput of the subscribers (UE3, UE4) when reaching transmitted power (17.14 dBm). Also, (MMSE and ZF) receivers achieve better user service performance in (CE) than Sphere type receiver by one-third of the percentage. While ML algorithm achieved similar performance as ZF, MMSE but at a transmitted power greater than (17.14 dBm).