Error Performance of Uplink SIMO-NOMA with Joint Maximum-Likelihood and Adaptive M-PSK

TL;DR

This paper analyzes the uplink SIMO-NOMA system's error performance using joint maximum-likelihood detection with adaptive M-PSK over Rayleigh fading channels, deriving a generalized BER upper bound and validating it through simulations.

Contribution

It introduces a generalized BER upper bound for uplink SIMO-NOMA with adaptive M-PSK and demonstrates the superior performance of JML detection over existing algorithms.

Findings

JML outperforms existing detection algorithms significantly.

The system achieves full diversity order for each user.

The derived upper bound matches simulation results closely.

Abstract

This paper studies the performance of the uplink Non-Orthogonal Multiple Access (NOMA) with Joint Maximum-Likelihood Detector (JML). We present a generalized upper bound of bit-error rate (BER) expression of adaptive M-ary phase-shift keying (M-PSK) over Rayleigh fading channels. Our studies are enriched through the use of a single transmitting antenna by each user and multiple receiving antennas at the base station (single-input-multiple-output (SIMO)). The derivation of the upper bound expression is obtained considering an arbitrary constellation size by performing Maximum Ratio Combining (MRC) of diversity paths. The extensive computer simulations validate the analysis and it is revealed that the JML outperforms the existing detecting algorithms significantly and achieves the full diversity order for each user.