Generalized BER Performance Analysis for SIC-based Uplink NOMA Systems

TL;DR

This paper derives generalized closed-form BER expressions for uplink SIC-based NOMA systems under Rayleigh fading, accounting for error propagation, and proposes a power allocation method to optimize performance and mitigate error floors.

Contribution

It provides the first generalized BER analysis for arbitrary M-QAM, user count, and antennas in uplink NOMA, along with a practical power allocation scheme.

Findings

Closed-form BER expressions validated by simulations.

Power allocation improves BER performance and reduces error floors.

Uplink SIC-based NOMA is effective regardless of decoding order.

Abstract

Non-orthogonal multiple access (NOMA) is widely recognized for its spectral and energy efficiency, which allows more users to share the network resources more effectively. This paper provides a generalized bit error rate (BER) performance analysis of successive interference cancellation (SIC)-based uplink NOMA systems under Rayleigh fading channels, taking into account error propagation resulting from SIC imperfections. Exact closed-form BER expressions are initially derived for scenarios with 2 and 3 users using quadrature phase shift keying (QPSK) modulation. These expressions are then generalized to encompass any arbitrary rectangular/square M-ary quadrature amplitude modulation (M-QAM) order, number of NOMA users, and number of BS antennas. Additionally, by utilizing the derived closed-form BER expressions, a simple and practically feasible power allocation (PA) technique is devised to minimize the sum bit error rate of the users and optimize the SIC-based NOMA detection at the base-station (BS). The derived closed-form expressions are corroborated through Monte Carlo simulations. It is demonstrated that these expressions can be effective for optimal uplink PA to ensure optimized SIC detection that mitigates error floors. It is also shown that significant performance improvements are achieved regardless of the users' decoding order, making uplink SIC-based NOMA a viable approach.