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Hybrid transceiver design and optimal power allocation for the cognitive mmWave multiuser MIMO downlink relying on limited feedback

Hybrid transceiver design and optimal power allocation for the cognitive mmWave multiuser MIMO downlink relying on limited feedback
Hybrid transceiver design and optimal power allocation for the cognitive mmWave multiuser MIMO downlink relying on limited feedback
A hybrid transceiver architecture is conceived for a cognitive radio (CR) aided millimeter wave (mmWave) multiuser (MU) multiple-input multiple-output (MIMO) downlink system relying on multiple radio frequency (RF) chains both at the CR base station (CBS) and the secondary users (SUs). To begin with, a hybrid transceiver design algorithm is proposed for the CBS and SUs, to maximize the sum spectral efficiency (SE) by decoupling the hybrid transceiver into a blind minimum mean squared error (MMSE) receiver combiner (RC) and optimal-capacity two-stage hybrid transmit precoder (TPC) components. These RC-weights and TPC-weights are subsequently found by using the popular simultaneous orthogonal matching pursuit (SOMP) technique. A closed-form solution is derived for the optimal power allocation that maximizes the sum SE under the associated interference and transmit power constraints. To achieve user fairness, we also propose an optimal power allocation scheme for maximizing the geometric mean (GM) of the SU rates. Finally, a low-complexity limited feedback aided hybrid transceiver is designed, which relies on the random vector quantization (RVQ) technique. Our simulation results demonstrate that an improved SE is achieved in comparison to the state-of-the-art techniques.
Hybrid power systems, Interference, MIMO communication, Millimeter wave, Millimeter wave communication, Radio frequency, Resource management, Transceivers, cognitive radio, hybrid beamforming, multiple-input multiple-output (MIMO), sparse reconstruction
2644-1330
241-256
Singh, Jitendra
5d360966-e457-4894-babf-f17ec6a8161b
Chatterjee, Indranil
d0d88656-d03e-49d4-b275-fe2c308bbb63
Srivastava, Suraj
7b40cb6c-7bc6-402c-8751-24346d39002c
Agrahari, Abhishek
451e54a1-0a41-49df-9bcd-808197ca8770
Jagannatham, Aditya K.
6bf39c17-fdd3-4f79-9d5c-47b5e2e51098
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Singh, Jitendra
5d360966-e457-4894-babf-f17ec6a8161b
Chatterjee, Indranil
d0d88656-d03e-49d4-b275-fe2c308bbb63
Srivastava, Suraj
7b40cb6c-7bc6-402c-8751-24346d39002c
Agrahari, Abhishek
451e54a1-0a41-49df-9bcd-808197ca8770
Jagannatham, Aditya K.
6bf39c17-fdd3-4f79-9d5c-47b5e2e51098
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Singh, Jitendra, Chatterjee, Indranil, Srivastava, Suraj, Agrahari, Abhishek, Jagannatham, Aditya K. and Hanzo, Lajos (2023) Hybrid transceiver design and optimal power allocation for the cognitive mmWave multiuser MIMO downlink relying on limited feedback. IEEE Open Journal of Vehicular Technology, 4, 241-256. (doi:10.1109/OJVT.2023.3236525).

Record type: Article

Abstract

A hybrid transceiver architecture is conceived for a cognitive radio (CR) aided millimeter wave (mmWave) multiuser (MU) multiple-input multiple-output (MIMO) downlink system relying on multiple radio frequency (RF) chains both at the CR base station (CBS) and the secondary users (SUs). To begin with, a hybrid transceiver design algorithm is proposed for the CBS and SUs, to maximize the sum spectral efficiency (SE) by decoupling the hybrid transceiver into a blind minimum mean squared error (MMSE) receiver combiner (RC) and optimal-capacity two-stage hybrid transmit precoder (TPC) components. These RC-weights and TPC-weights are subsequently found by using the popular simultaneous orthogonal matching pursuit (SOMP) technique. A closed-form solution is derived for the optimal power allocation that maximizes the sum SE under the associated interference and transmit power constraints. To achieve user fairness, we also propose an optimal power allocation scheme for maximizing the geometric mean (GM) of the SU rates. Finally, a low-complexity limited feedback aided hybrid transceiver is designed, which relies on the random vector quantization (RVQ) technique. Our simulation results demonstrate that an improved SE is achieved in comparison to the state-of-the-art techniques.

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More information

Accepted/In Press date: 7 January 2023
Published date: 12 January 2023
Additional Information: Publisher Copyright: © 2020 IEEE.
Keywords: Hybrid power systems, Interference, MIMO communication, Millimeter wave, Millimeter wave communication, Radio frequency, Resource management, Transceivers, cognitive radio, hybrid beamforming, multiple-input multiple-output (MIMO), sparse reconstruction

Identifiers

Local EPrints ID: 474144
URI: http://eprints.soton.ac.uk/id/eprint/474144
ISSN: 2644-1330
PURE UUID: f3a1c5a4-7480-44cd-a482-e1be4b6ad055
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 14 Feb 2023 17:40
Last modified: 18 Mar 2024 02:36

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Contributors

Author: Jitendra Singh
Author: Indranil Chatterjee
Author: Suraj Srivastava
Author: Abhishek Agrahari
Author: Aditya K. Jagannatham
Author: Lajos Hanzo ORCID iD

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