Multipair DF relaying with network-assisted full-duplex cell-free massive MIMO

Tung T. Vu, Hien Quoc Ngo, Minh N. Dao, Erik G. Larsson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider a multipair decode-and-forward network-assisted full-duplex (NAFD) cell-free massive multiple-input multiple-output relaying system, where access points (APs) with a downlink (DL) mode serve destination nodes and those with an uplink (UL) mode serve source nodes, at the same time. Aiming at maximizing the sum of the spectral efficiency (SE) of all the transmission pairs, we formulate a mixed-integer nonconvex optimization problem to jointly design the AP mode assignment, power control, and large-scale fading decoding coefficients. This problem is subject to minimum per-pair SE requirements, per-AP power control, and per-source-node power constraints. By employing the successive convex approximation technique, we propose an algorithm to obtain a stationary solution to the formulated problem. Numerical results show that the NAFD approach can increase 90%-likely per-pair SE of the considered system by up to 63% compared with those of the traditional half-duplex and heuristic baseline schemes, respectively.

Original languageEnglish
Title of host publicationProceedings of the 2023 31st European Signal Processing Conference (EUSIPCO)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1474-1478
ISBN (Electronic)9789464593600
ISBN (Print)9798350328110
DOIs
Publication statusPublished - 01 Nov 2023
Event31st European Signal Processing Conference 2023 - Helsinki, Finland
Duration: 04 Sept 202308 Sept 2023

Publication series

NameEUSIPCO Proceedings
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

Conference31st European Signal Processing Conference 2023
Abbreviated titleEUSIPCO 2023
Country/TerritoryFinland
CityHelsinki
Period04/09/202308/09/2023

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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