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On the Performance of Cell-Free Massive MIMO Relying on Adaptive NOMA/OMA Mode-Switching

Bashar, Manijeh, Cumanan, Kanapathippillai, Burr, Alister G., Ngo, Hien Quoc, Hanzo, Lajos and Xiao, Pei (2019) On the Performance of Cell-Free Massive MIMO Relying on Adaptive NOMA/OMA Mode-Switching IEEE TRANSACTIONS ON COMMUNICATIONS.

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Abstract

The downlink (DL) of a non-orthogonal-multiple-access (NOMA)-based cell-free massive multiple-input multipleoutput (MIMO) system is analyzed, where the channel state information (CSI) is estimated using pilots. It is assumed that the users are grouped into multiple clusters. The same pilot sequences are assigned to the users within the same clusters whereas the pilots allocated to all clusters are mutually orthogonal. First, a user’s bandwidth efficiency (BE) is derived based on his/her channel statistics under the assumption of employing successive interference cancellation (SIC) at the users’ end with no DL training. Next, the classic max-min optimization framework is invoked for maximizing the minimum BE of a user under per-access point (AP) power constraints. The max-min user BE of NOMA-based cell-free massive MIMO is compared to that of its orthogonal multiple-access (OMA) counter part, where all users employ orthogonal pilots. Finally, our numerical results are presented and an operating mode switching scheme is proposed based on the average per-user BE of the system, where the mode set is given by Mode = { OMA, NOMA }. Our numerical results confirm that the switching point between the NOMA and OMA modes depends both on the length of the channel’s coherence time and on the total number of users.

Item Type: Article
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 : 11 November 2019
Funders : H2020-MSCARISE-2015, UK Research and Innovation Future Leaders Fellowships, Engineering and Physical Sciences Research Council (EPSRC), Royal Society’s Global Challenges Research Fund Grant, European Research Council’s Advanced Fellow Grant QuantCom
DOI : 10.1109/TCOMM.2019.2952574
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
Additional Information : Parts of this work was presented at the IEEE ICC 2019
Depositing User : Diane Maxfield
Date Deposited : 17 Jan 2020 17:05
Last Modified : 17 Jan 2020 17:05
URI: http://epubs.surrey.ac.uk/id/eprint/853341

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