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Cooperative hybrid beamforming for the mitigation of realistic asynchronous interference in cell-free mmWave MIMO networks

Cooperative hybrid beamforming for the mitigation of realistic asynchronous interference in cell-free mmWave MIMO networks
Cooperative hybrid beamforming for the mitigation of realistic asynchronous interference in cell-free mmWave MIMO networks
Cooperative hybrid transmit precoder (TP) and receive combiner (RC) design algorithms are conceived for cell-free millimeter wave (mmWave) multiple-input multiple output (MIMO) networks, operating in the face of asynchronous interference (ASI). To begin with, a Wiener filteringbased optimal hybrid TP/RC (WHB-U) design is proposed for unicast scenarios that minimizes the normalized mean squared error (NMSE) between the received signal and the desired signal subject to user-specific power constraints. Next, a signal-to-leakage plus noise ratio (SLNR) maximization-based hybrid TP/RC design (SHB-U) is conceived, which reduces the interference engendered by the signal transmission targeted towards a specific user, rather than focuses on the interference at a particular user. Next, a multicast transmission scenario is considered, wherein the users belonging to a particular multicast group request identical information. Toward this, the WHB-M and SHB-M hybrid TP/RC schemes are designed for mitigating both the inter-user and inter-group interference. Subsequently, we also develop a Bayesian learning (BL)-based framework for jointly designing the RF and baseband (BB) TPs/RCs for both unicast and multicast scenarios, which does not require the full knowledge of mmWave MIMO channel components. Finally, the efficiency of the proposed TP/RC schemes is extensively evaluated by simulations both in terms of their ability to mitigate the ASI, and the spectral efficiency attained.
Bayesian learning, cell-free, hybrid beamforming, mmWave MIMO, multicast-unicast communication, Array signal processing, Interference, Millimeter wave communication, multicast, Radio frequency, Unicast, Computer architecture, MIMO communication
0090-6778
6737-6751
Jafri, Meesam
bd8f699c-e0d5-48c3-b4dd-c577b56ab42d
Srivastava, Suraj
e1457d5e-5803-4bdd-be8c-d961b35dabd8
Kumar, Pankaj
a8e15ae1-e689-43ea-bf11-044c14218180
Jagannatham, Aditya K.
757f9204-20b2-42a1-8279-49a13006ed0f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Jafri, Meesam
bd8f699c-e0d5-48c3-b4dd-c577b56ab42d
Srivastava, Suraj
e1457d5e-5803-4bdd-be8c-d961b35dabd8
Kumar, Pankaj
a8e15ae1-e689-43ea-bf11-044c14218180
Jagannatham, Aditya K.
757f9204-20b2-42a1-8279-49a13006ed0f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Jafri, Meesam, Srivastava, Suraj, Kumar, Pankaj, Jagannatham, Aditya K. and Hanzo, Lajos (2024) Cooperative hybrid beamforming for the mitigation of realistic asynchronous interference in cell-free mmWave MIMO networks. IEEE Transactions on Communications, 72 (11), 6737-6751, [10535255]. (doi:10.1109/TCOMM.2024.3403474).

Record type: Article

Abstract

Cooperative hybrid transmit precoder (TP) and receive combiner (RC) design algorithms are conceived for cell-free millimeter wave (mmWave) multiple-input multiple output (MIMO) networks, operating in the face of asynchronous interference (ASI). To begin with, a Wiener filteringbased optimal hybrid TP/RC (WHB-U) design is proposed for unicast scenarios that minimizes the normalized mean squared error (NMSE) between the received signal and the desired signal subject to user-specific power constraints. Next, a signal-to-leakage plus noise ratio (SLNR) maximization-based hybrid TP/RC design (SHB-U) is conceived, which reduces the interference engendered by the signal transmission targeted towards a specific user, rather than focuses on the interference at a particular user. Next, a multicast transmission scenario is considered, wherein the users belonging to a particular multicast group request identical information. Toward this, the WHB-M and SHB-M hybrid TP/RC schemes are designed for mitigating both the inter-user and inter-group interference. Subsequently, we also develop a Bayesian learning (BL)-based framework for jointly designing the RF and baseband (BB) TPs/RCs for both unicast and multicast scenarios, which does not require the full knowledge of mmWave MIMO channel components. Finally, the efficiency of the proposed TP/RC schemes is extensively evaluated by simulations both in terms of their ability to mitigate the ASI, and the spectral efficiency attained.

Text
Cooperative Hybrid Beamforming for the Mitigation of Realistic Asynchronous Interference in Cell-free mmWave MIMO Networks - Accepted Manuscript
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Accepted/In Press date: 13 May 2024
e-pub ahead of print date: 20 May 2024
Published date: 20 May 2024
Additional Information: Publisher Copyright: IEEE
Keywords: Bayesian learning, cell-free, hybrid beamforming, mmWave MIMO, multicast-unicast communication, Array signal processing, Interference, Millimeter wave communication, multicast, Radio frequency, Unicast, Computer architecture, MIMO communication

Identifiers

Local EPrints ID: 490283
URI: http://eprints.soton.ac.uk/id/eprint/490283
ISSN: 0090-6778
PURE UUID: 535b5f8f-0c06-432d-b116-50745038f63d
ORCID for Pankaj Kumar: ORCID iD orcid.org/0009-0008-7783-2506
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 23 May 2024 16:36
Last modified: 03 Dec 2024 03:10

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Contributors

Author: Meesam Jafri
Author: Suraj Srivastava
Author: Pankaj Kumar ORCID iD
Author: Aditya K. Jagannatham
Author: Lajos Hanzo ORCID iD

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