Cooperative hybrid transmit beamforming in cell-free mmWave MIMO networks
Cooperative hybrid transmit beamforming in cell-free mmWave MIMO networks
Hybrid precoders and combiners are designed for cooperative cell-free multi-user millimeter wave (mmWave) multiple-input multiple-output (MIMO) cellular networks for low complexity interference mitigation. Initially, we derive an optimal hybrid transmit beamformer (HTBF) for a broadcast scenario considering both total and per access point (AP) power constraints.
Next, an optimal successive hybrid beamformer technique is proposed for unicast and multicast scenarios which relies on the optimal minimum variance distortionless response (MVDR). We demonstrate that it mitigates both the interuser and intergroup interference, while successively ensuring orthogonality to the previously scheduled users/user groups. Furthermore, it is shown theoretically that the proposed schemes are capable of supporting a large number of
users. Subsequently, a Bayesian learning (BL) based method is conceived for jointly designing the RF and baseband precoders/combiners for the various scenarios considered.
Furthermore, we also conceive the uplink counterpart of our HTBF scheme, which is based on maximizing the signal-tointerference-plus noise ratio (SINR) of each individual user. Finally, the efficacy of the proposed schemes is characterized by our extensive simulation results in terms of cancelling the interuser/intergroup interference, which improves the spectral efficiency.
Antenna arrays, Array signal processing, Baseband, Bayesian learning, Interference, MIMO communication, Millimeter wave communication, Radio frequency, and multicast, broadcast, hybrid beamforming, mmWave, multi-cell multi-user
6023-6038
Jafri, Meesam
5dcae527-f413-4c10-bc82-36cd3a1aa6de
Srivastava, Suraj
7b40cb6c-7bc6-402c-8751-24346d39002c
Venkategowda, Naveen K. D.
479c3eaa-7676-4573-9549-e188379df4bc
Jagannatham, Aditya
b5974907-7880-4637-8f3a-c1388ffbacc4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
1 May 2023
Jafri, Meesam
5dcae527-f413-4c10-bc82-36cd3a1aa6de
Srivastava, Suraj
7b40cb6c-7bc6-402c-8751-24346d39002c
Venkategowda, Naveen K. D.
479c3eaa-7676-4573-9549-e188379df4bc
Jagannatham, Aditya
b5974907-7880-4637-8f3a-c1388ffbacc4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Jafri, Meesam, Srivastava, Suraj, Venkategowda, Naveen K. D., Jagannatham, Aditya and Hanzo, Lajos
(2023)
Cooperative hybrid transmit beamforming in cell-free mmWave MIMO networks.
IEEE Transactions on Vehicular Technology, 72 (5), .
(doi:10.1109/TVT.2022.3229832).
Abstract
Hybrid precoders and combiners are designed for cooperative cell-free multi-user millimeter wave (mmWave) multiple-input multiple-output (MIMO) cellular networks for low complexity interference mitigation. Initially, we derive an optimal hybrid transmit beamformer (HTBF) for a broadcast scenario considering both total and per access point (AP) power constraints.
Next, an optimal successive hybrid beamformer technique is proposed for unicast and multicast scenarios which relies on the optimal minimum variance distortionless response (MVDR). We demonstrate that it mitigates both the interuser and intergroup interference, while successively ensuring orthogonality to the previously scheduled users/user groups. Furthermore, it is shown theoretically that the proposed schemes are capable of supporting a large number of
users. Subsequently, a Bayesian learning (BL) based method is conceived for jointly designing the RF and baseband precoders/combiners for the various scenarios considered.
Furthermore, we also conceive the uplink counterpart of our HTBF scheme, which is based on maximizing the signal-tointerference-plus noise ratio (SINR) of each individual user. Finally, the efficacy of the proposed schemes is characterized by our extensive simulation results in terms of cancelling the interuser/intergroup interference, which improves the spectral efficiency.
Text
Manuscript-4
- Accepted Manuscript
Text
Cooperative_Hybrid_Transmit_Beamforming_in_Cell-free_mmWave_MIMO_Networks
- Version of Record
Restricted to Repository staff only
Available under License Other.
Request a copy
More information
Accepted/In Press date: 13 December 2022
e-pub ahead of print date: 13 January 2023
Published date: 1 May 2023
Additional Information:
Funding Information:
The work of Aditya K. Jagannatham was supported in part by Qualcomm Innovation Fellowship and in part by the Arun Kumar Chair Professorship. The work of Lajos Hanzo was supported by Engineering and Physical Sciences Research Council under Projects EP/W016605/1 and EP/P003990/1 (COALESCE) and in part by the European Research Council'sAdvanced Fellow GrantQuantCom underGrant 789028.
Publisher Copyright:
© 1967-2012 IEEE.
Keywords:
Antenna arrays, Array signal processing, Baseband, Bayesian learning, Interference, MIMO communication, Millimeter wave communication, Radio frequency, and multicast, broadcast, hybrid beamforming, mmWave, multi-cell multi-user
Identifiers
Local EPrints ID: 473600
URI: http://eprints.soton.ac.uk/id/eprint/473600
ISSN: 0018-9545
PURE UUID: a6062811-f59e-4cae-be1b-a404d62e8048
Catalogue record
Date deposited: 24 Jan 2023 17:47
Last modified: 18 Mar 2024 02:36
Export record
Altmetrics
Contributors
Author:
Meesam Jafri
Author:
Suraj Srivastava
Author:
Naveen K. D. Venkategowda
Author:
Aditya Jagannatham
Author:
Lajos Hanzo
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics