Conference proceedings paper

Joint Implementation of Massive MIMO and NOMA Techniques for Improved Capacity in 5G Networks

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Publication Details

Author list: Afolalu O, Ventura N

Publisher: Institute of Electrical and Electronics Engineers ( IEEE )

Place: 1 - 4 September 2019 Fairmont Zimbali Resort, Ballito, KwaZulu-Natal, South Africa

Publication year: 2019

Start page: 26

End page: 31

Total number of pages: 6

ISBN: 9780639841502


Radio resource allocation to users in current wireless networks relies on orthogonal multiple access (OMA) principle. However, increase in the number of users, and strict limitation to modifications for the current communication systems may prevent OMA from meeting demands such as ultra low latency, high spectral efficiency, massive connectivity and improved capacity requirements of 5G networks. Non-orthogonal multiple
access (NOMA) emerges as a promising technique to address these challenges. NOMA supports more users through interuser interference cancellation at the receiver. To further improve the sum channel capacity and alleviate the receiver complexity, multiple input multiple output (MIMO) technology is employed. In this paper, we present a massive MIMO-enabled NOMA techniques, simulated under perfect and imperfect Channel State Information (CSI), to evaluate its impact on overall capacity in 5G networks. In addition, transmit antenna selection principle is applied to ease the complexity involved in simultaneous use of multiple antennas. Finally, simulation results are presented to show performance gains of the proposed scheme over OMA in terms of capacity enhancement and better sum rate.


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Last updated on 2019-11-12 at 16:52