Energy efficiency optimization in reconfigurable intelligent surface aided hybrid multiuser mmWave MIMO Systems
Energy efficiency optimization in reconfigurable intelligent surface aided hybrid multiuser mmWave MIMO Systems
The energy efficiency (EE) of the reconfigurable intelligent surface (RIS) aided multiuser (MU) millimeterwave (mmWave) multi-input multi-output (MIMO) downlink is maximized by jointly optimizing the transmit power and number of active radio frequency (RF) chains. The base band (BB) transmit precoder (TPC) of this system is derived first by using the zero-forcing (ZF) technique for a given RF TPC and combiner at the base station (BS) as well as the phase shift matrix at the RIS. Furthermore, the ergodic sum-rate of the system is derived assuming a large number of antennas at the BS and users, followed by formulating the EE maximization problem subject to specific constraints imposed on the transmit power and on the number of RF chains. Then a low complexity sequential method is proposed for solving the above optimization problem, thus determining both the optimal transmit power and the number of active RF chains. Finally, simulation results are presented for demonstrating the improved EE performance of an RIS-aided mmWave MIMO system for a limited number of RF chains and transmit power at the BS.
Energy efficiency, hybrid beamforming, millimeter wave, multiple-input multiple-output, reconfigurable intelligent surface
581-589
Singh, Jitendra
5d360966-e457-4894-babf-f17ec6a8161b
Srivastava, Suraj
d1cf72bf-db1d-4e5c-86a8-d4badc5a5b94
Yadav, Surya P.
ff4c121d-2d1b-4e28-b002-cc836639d618
Jagannatham, Aditya K.
6bf39c17-fdd3-4f79-9d5c-47b5e2e51098
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
2023
Singh, Jitendra
5d360966-e457-4894-babf-f17ec6a8161b
Srivastava, Suraj
d1cf72bf-db1d-4e5c-86a8-d4badc5a5b94
Yadav, Surya P.
ff4c121d-2d1b-4e28-b002-cc836639d618
Jagannatham, Aditya K.
6bf39c17-fdd3-4f79-9d5c-47b5e2e51098
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Singh, Jitendra, Srivastava, Suraj, Yadav, Surya P., Jagannatham, Aditya K. and Hanzo, Lajos
(2023)
Energy efficiency optimization in reconfigurable intelligent surface aided hybrid multiuser mmWave MIMO Systems.
IEEE Open Journal of Vehicular Technology, 4, .
(doi:10.1109/OJVT.2023.3307309).
Abstract
The energy efficiency (EE) of the reconfigurable intelligent surface (RIS) aided multiuser (MU) millimeterwave (mmWave) multi-input multi-output (MIMO) downlink is maximized by jointly optimizing the transmit power and number of active radio frequency (RF) chains. The base band (BB) transmit precoder (TPC) of this system is derived first by using the zero-forcing (ZF) technique for a given RF TPC and combiner at the base station (BS) as well as the phase shift matrix at the RIS. Furthermore, the ergodic sum-rate of the system is derived assuming a large number of antennas at the BS and users, followed by formulating the EE maximization problem subject to specific constraints imposed on the transmit power and on the number of RF chains. Then a low complexity sequential method is proposed for solving the above optimization problem, thus determining both the optimal transmit power and the number of active RF chains. Finally, simulation results are presented for demonstrating the improved EE performance of an RIS-aided mmWave MIMO system for a limited number of RF chains and transmit power at the BS.
Text
Energy_Efficiency_Optimization_in_Reconfigurable_Intelligent_Surface_Aided_Hybrid_Multiuser_mmWave_MIMO_Systems
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More information
Accepted/In Press date: 18 August 2023
e-pub ahead of print date: 24 August 2023
Published date: 2023
Additional Information:
Funding Information:
The work of Lajos Hanzo was supported by the Engineering and Physical Sciences Research Council projects under Grants EP/W016605/1, EP/X01228X/1, and EP/Y026721/1 and in part by the European Research Council's Advanced Fellow Grant QuantCom under Grant 789028.
Publisher Copyright:
© 2020 IEEE.
Keywords:
Energy efficiency, hybrid beamforming, millimeter wave, multiple-input multiple-output, reconfigurable intelligent surface
Identifiers
Local EPrints ID: 483238
URI: http://eprints.soton.ac.uk/id/eprint/483238
ISSN: 2644-1330
PURE UUID: 8e725be7-de1f-49a4-88a9-3c6292f874b0
Catalogue record
Date deposited: 26 Oct 2023 16:51
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Jitendra Singh
Author:
Suraj Srivastava
Author:
Surya P. Yadav
Author:
Aditya K. Jagannatham
Author:
Lajos Hanzo
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