Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks

Song, Zhengyu and Yu, Wenjuan and Xiao, Lixia and Musavian, Leila and Ni, Qiang and Sun, Xin (2022) Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks. In: 2021 IEEE Global Communications Conference (GLOBECOM). IEEE, ESP. ISBN 9781728181059

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Abstract

In this paper, we study the total effective capacity (EC) of single-cluster non-orthogonal multiple access (NOMA) networks and demonstrate the performance gain of single-cluster NOMA over user-paired NOMA and orthogonal multiple access (OMA). Specifically, the exact closed-form expression and an approximate closed-form expression at high signal-to-noise ratios (SNRs), in terms of the total EC, are derived for single-cluster NOMA networks. The derivations reveal that the total EC at high SNRs only relies on the statistical delay requirement of the strongest user and is independent of the other users' delay requirements. Further, we theoretically analyze the total EC differences between single-cluster NOMA and user-paired NOMA/OMA communications and explore the impact of transmit SNR. Simulation results verify the accuracy of analytical results and further reveal that the single-cluster NOMA network achieves a greater gain in terms of the total EC, compared to the conventional OMA, when the number of users increases.

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ID Code:
160517
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Deposited On:
21 Dec 2021 15:30
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Nov 2022 00:18