Joint beamforming and combining design for mmWave integrated access and backhaul networks
Joint beamforming and combining design for mmWave integrated access and backhaul networks
Integrated access and backhaul (IAB) networks operating in full-duplex (FD) mode at millimeter wave frequencies have been actively investigated in the context of future-generation communications networks. However, conventional analog cancellation techniques cannot adequately mitigate the self-interference resulting from the FD operation and the multi-user interference. Hence, in this paper, we consider a multi-cell, multi-user IAB network and jointly design the beamforming and combining matrices to maximize the networks weighted sum rate. Given the non-convex nature of the problem, we reformulate it using weighted minimum-mean-square-error (WMMSE) and extended fractional programming (FP) techniques followed by a block coordinate descent (BCD) approach. Extensive simulation results validate the superior performance of our proposed algorithms. Specifically, the WMMSE and FP methods can achieve 50 bits/sec/Hz higher than the benchmark scheme for a network employing three cells with two uplink and two downlink users per cell.
Zou, Linfu
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Ahmad, Alaa Alameer
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Dahrouj, Hayssam
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El-Hajjar, Mohammed
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Zou, Linfu
e5f0dfa3-2622-4d67-b74b-ea8d1dad4c95
Ahmad, Alaa Alameer
b0af13bc-04b4-45b7-bf57-74e3cba892c3
Dahrouj, Hayssam
6666e329-ba9b-439b-acb8-84b73d93218d
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Zou, Linfu, Ahmad, Alaa Alameer, Dahrouj, Hayssam and El-Hajjar, Mohammed
(2023)
Joint beamforming and combining design for mmWave integrated access and backhaul networks.
IEEE Open Journal of the Communications Society.
(In Press)
Abstract
Integrated access and backhaul (IAB) networks operating in full-duplex (FD) mode at millimeter wave frequencies have been actively investigated in the context of future-generation communications networks. However, conventional analog cancellation techniques cannot adequately mitigate the self-interference resulting from the FD operation and the multi-user interference. Hence, in this paper, we consider a multi-cell, multi-user IAB network and jointly design the beamforming and combining matrices to maximize the networks weighted sum rate. Given the non-convex nature of the problem, we reformulate it using weighted minimum-mean-square-error (WMMSE) and extended fractional programming (FP) techniques followed by a block coordinate descent (BCD) approach. Extensive simulation results validate the superior performance of our proposed algorithms. Specifically, the WMMSE and FP methods can achieve 50 bits/sec/Hz higher than the benchmark scheme for a network employing three cells with two uplink and two downlink users per cell.
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Accepted/In Press date: 29 December 2023
Identifiers
Local EPrints ID: 485951
URI: http://eprints.soton.ac.uk/id/eprint/485951
ISSN: 2644-125X
PURE UUID: 9065f6cd-5bfa-4a6d-8074-feacb1d11cd7
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Date deposited: 04 Jan 2024 06:00
Last modified: 18 Mar 2024 03:22
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Contributors
Author:
Linfu Zou
Author:
Alaa Alameer Ahmad
Author:
Hayssam Dahrouj
Author:
Mohammed El-Hajjar
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