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Improving the Resource Efficiency in Massive MIMO-NOMA Systems

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Abstract

This work discusses a cluster-based non-orthogonal multiple access (NOMA) structures aiming at improving the system energy efficiency (EE) and spectral efficiency (SE) in a Massive MIMO (M-MIMO) cell through user clustering and power allocation strategies. Effectively, this work proposes an improved clustering-based NOMA M-MIMO structure under the EE-SE perspective combining the EE and SE performance metrics. In the considered power-domain NOMA M-MIMO configuration, the users are grouped into several clusters; hence, each beamformer serves the users at a specific cluster. The EE-SE tradeoff, namely resource efficiency figure of merit in a cluster-based downlink NOMA M-MIMO is evaluated considering the application of two power allocation strategies. Based on two different channel cluster-head selection strategies, namely the equivalent channel vectors (Type I) and the channel matrix singular value decomposition (SVD) (Type II), the cluster-head in each cluster can tremendously mitigate the intra-cluster interference. Numerical results demonstrate that the best system performance regarding EE-SE tradeoff occurs for MIMO NOMA Type I cluster-head selection with two users per cluster.

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Data Availability

The datasets used or generated by the authors will be available under request.

Notes

  1. Devices’ loading is the ratio between the number of mobile users and the number of BS antennas.

  2. Multiuser detection (MuD) implies additional power consumption and signal processing burden at UE terminal, despite the MuD ability to mitigate the inter-cluster interference at the UE device. Moreover, with single-user detection (SuD) in the NOMA context, we mean that only the data streams of users in the same cluster can be decoded and removed via SIC.

  3. Aligned in terms of specific BS direction or angle of arrival/departure (AoA/AoD).

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Funding

This work was supported in part by the National Council for Scientific and Technological Development (CNPq) of Brazil under Grants 304066/2015-0, 310681/2019-7, and in part by the Londrina State University - Paraná State Government (UEL).

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Authors and Affiliations

  1. Department of Electrical Engineering, State University of Londrina (DEEL-UEL), Rod. Celso Garcia Cid - PR445, Po.Box 10.011, Londrina, PR, 86057-970, Brazil

    Karina Bernardin Rosa & Taufik Abrão

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  1. Karina Bernardin Rosa
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  2. Taufik Abrão
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All authors whose names appear on the submission. Made substantial contributions to the conception or design of the work; the acquisition, analysis, or interpretation of data; or the creation of new software used in this work; drafted the work or revised it critically for important intellectual content; approved the version to be published; and agrees to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Taufik Abrão.

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Rosa, K.B., Abrão, T. Improving the Resource Efficiency in Massive MIMO-NOMA Systems. J Netw Syst Manage 31, 74 (2023). https://doi.org/10.1007/s10922-023-09764-x

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