Power Allocation Constraint and Error Rate Analysis for Multi-User PD-NOMA System Employing <i>M</i>–Ary PSK

Chauhan, Ankita; Jaiswal, Anshul

doi:10.1109/lcomm.2023.3253857

Cited by 4 publications

(1 citation statement)

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“…Other works that focused on an arbitrary number of users include [25] which presented PEP analysis for the case of an arbitrary number of users using M -QAM modulation. Moreover, in [26], identical M -phase shift keying (PSK) modulation orders for all users were assumed. In [27] the authors derived BER expressions with an arbitrary number of users assuming BPSK modulation for all users and perfect SIC under Rayleigh fading channels.…”

Section: A Related Workmentioning

confidence: 99%

optimizing IRS-Assisted Uplink NOMA System for Power Constrained IoT Networks

Alsusa

Seddik

Al‐Jarrah

2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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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.

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Section: A Related Workmentioning

confidence: 99%