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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 (2021) Low-Latency Driven Performance Analysis for Single-Cluster NOMA Networks. In: IEEE GlobeCom, 2021-12-07 - 2021-12-11, Madrid, Spain. (In Press)

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Uncontrolled Keywords: Low latency; effective capacity; NOMA; OMA
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 26 Sep 2021 08:46
Last Modified: 23 Sep 2022 19:47

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