@inproceedings{bfa987c412ba4ce785cab573094773f6,
title = "Multipair DF relaying with network-assisted full-duplex cell-free massive MIMO",
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.",
author = "Vu, {Tung T.} and Ngo, {Hien Quoc} and Dao, {Minh N.} and Larsson, {Erik G.}",
year = "2023",
month = nov,
day = "1",
doi = "10.23919/EUSIPCO58844.2023.10289776",
language = "English",
isbn = "9798350328110",
series = "EUSIPCO Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1474--1478",
booktitle = "Proceedings of the 2023 31st European Signal Processing Conference (EUSIPCO)",
address = "United States",
note = "31st European Signal Processing Conference 2023, EUSIPCO 2023 ; Conference date: 04-09-2023 Through 08-09-2023",
}