Capacity Comparison Between MIMO-NOMA and MIMO-OMA With Multiple Users in a Cluster

By Ming Zeng, Animesh Yadav, Octavia A. Dobre, Georgios I. Tsiropoulos, H. Vincent Poor. IEEE Journal on Selected Areas in Communications, 2017

335 citations recorded by the source corpus.

In this paper, the performance of multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) is investigated, when multiple users are grouped into a cluster. The superiority of MIMO-NOMA over MIMO-OMA in terms of both sum channel capacity and ergodic sum capacity is proved analytically. Furthermore, it is demonstrated that the more users are admitted to a cluster, the lower is the achieved sum rate, which illustrates the tradeoff between the sum rate and maximum number of admitted users. On this basis, a user admission scheme is proposed, which is optimal in terms of both sum rate and the number of admitted users when the signal-to-interference-plus-noise ratio thresholds of the users are equal. When these thresholds are different, the proposed scheme still achieves good performance in balancing both criteria. Moreover, under certain conditions, it maximizes the number of admitted users. In addition, the complexity of the proposed scheme is linear in the number of users per cluster. Simulation results verify the superiority of MIMO-NOMA over MIMO-OMA in terms of both sum rate and user fairness, as well as the effectiveness of the proposed user admission scheme.

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Citations in the corpus

A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks (2019, methodology): “optimization methods are been utilized, for example, gradient projection algorithm [266], some iterative PA and UC algorithms [154], [173], or even algorithms”
Rate-splitting multiple access for downlink communication systems: bridging, generalizing, and outperforming SDMA and NOMA (2017, background): “Examples of such a strategy can be found in [1], [15], [16], [22], [23], [42].”
Modulation and Multiple Access for 5G Networks (2017, unknown): “[72], [73]”
A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends (2017, methodology): “Motivated by the user ordering difficulty, another effective approach to combining MIMO and NOMA is to exploit spatial degrees of freedom and decompose MIMO-NOMA into multiple separate SISO-NOMA subchannels, which can significantly reduce the complexity of the system design [49], [50].”