Non-orthogonal Multiple Access in Massive MIMO Aided Heterogeneous Networks

Yuanwei Liu, Zhijin Qin, Maged Elkashlan, Yue Gao, Arumugam Nallanathan

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

28 Citations (Scopus)


In this paper, the application of non-orthogonal multiple access (NOMA) into $K$-tier heterogeneous networks (HetNets) is investigated. A new promising transmission framework is proposed, in which massive multiple-input multiple-output (MIMO) is employed in marco cells and NOMA is adopted in small cells. For maximizing the biased average received power at mobile users, a massive MIMO and NOMA based user association scheme is developed. In an effort to evaluate the performance of the proposed framework, analytical expressions for the spectrum efficiency of each tier are derived using stochastic geometry. Simulation results are presented to verify the accuracy of the proposed analytical derivations and confirm that NOMA is capable of enhancing the spectrum efficiency of the network compared to the orthogonal multiple access~(OMA) based HetNets.
Original languageEnglish
Title of host publicationProceedings of IEEE GLOBECOM'2016
Place of PublicationWashington D.C, USA
Publication statusPublished - 6 Feb 2017


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