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NOMA/OMA Mode Selection-Based Cell-Free Massive MIMO

Bashar, Manijeh, Cumanan, Kanapathippillai, Burr, Alister G., Ngo, Hien Quoc, Hanzo, Lajos and Xiao, Pei (2019) NOMA/OMA Mode Selection-Based Cell-Free Massive MIMO In: 2019 IEEE International Conference on Communications (ICC): Wireless Communications Symposium, 20-24 May 2019, Shanghai, China.

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Abstract

In this paper, non-orthogonal-multiple-access (NOMA)-based cell-free massive multiple-input multiple-output (MIMO) is investigated, where the users are grouped into multiple clusters. Exploiting conjugate beamforming, the bandwidth efficiency (BE) of the system is derived while the assumption that the users performing realistic successive interference cancellation (SIC) based on only the knowledge of channel statistics. The max-min fairness problem of maximizing the lowest user BE is investigated and an iterative bisection method is developed to determine the optimal solution to the max-min BE problem. Numerical results are presented for validating the proposed design’s performance, and a mode switching scheme is conceived for selecting a specific Mode = f OMA, NOMA g that maximizes the system’s BE.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Bashar, Manijehm.bashar@surrey.ac.uk
Cumanan, Kanapathippillai
Burr, Alister G.
Ngo, Hien Quoc
Hanzo, Lajos
Xiao, PeiP.Xiao@surrey.ac.uk
Date : 2019
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Cell-free massive MIMO; Convex optimization; Max-min bandwidth efficiency; NOMA
Related URLs :
Depositing User : Clive Harris
Date Deposited : 10 Apr 2019 07:34
Last Modified : 19 May 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/851038

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