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Joint hybrid and passive RIS-assisted beamforming for MmWave MIMO systems relying on dynamically configured subarrays

Joint hybrid and passive RIS-assisted beamforming for MmWave MIMO systems relying on dynamically configured subarrays
Joint hybrid and passive RIS-assisted beamforming for MmWave MIMO systems relying on dynamically configured subarrays
Reconfigurable intelligent surface (RIS) assisted millimeter-wave (mmWave) communication systems relying on hybrid beamforming structures are capable of achieving high spectral efficiency at a low hardware complexity and low power consumption. In this paper, we propose an RIS-assisted mmWave point-to-point system relying on dynamically configured subarray connected hybrid beamforming structures. More explicitly, an energy-efficient analog beamformer relying on twin-resolution phase shifters is proposed. Then, we conceive a successive interference cancelation (SIC) based method for jointly designing the hybrid beamforming matrix of the base station (BS) and the passive beamforming matrix of the RIS. Specifically, the associated bandwidth-efficiency maximization problem is transformed into a series of sub-problems, where the sub-array of phase shifters and RIS elements are jointly optimized for maximizing each sub-array’s rate. Furthermore, a greedy method is proposed for determining the phase shifter configuration of each sub-array. We then propose to update the RIS elements relying on a complex circle manifold (CCM)-based method. The proposed dynamic sub-connected structure as well as the proposed joint hybrid and passive beamforming method strikes an attractive trade-off between the bandwidth efficiency and power consumption. Our simulation results demonstrate the superiority of the proposed method compared to its traditional counterparts.
2327-4662
13913 - 13926
Feng, Chenghao
fe3657b4-5ee4-44cd-b609-7f10d031da0b
Shen, Wenqiang
8c3c46cc-24a8-4ae8-912d-86243884e2b4
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Feng, Chenghao
fe3657b4-5ee4-44cd-b609-7f10d031da0b
Shen, Wenqiang
8c3c46cc-24a8-4ae8-912d-86243884e2b4
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Feng, Chenghao, Shen, Wenqiang, An, Jianping and Hanzo, Lajos (2022) Joint hybrid and passive RIS-assisted beamforming for MmWave MIMO systems relying on dynamically configured subarrays. IEEE Internet of Things Journal, 9 (15), 13913 - 13926. (doi:10.1109/JIOT.2022.3142932).

Record type: Article

Abstract

Reconfigurable intelligent surface (RIS) assisted millimeter-wave (mmWave) communication systems relying on hybrid beamforming structures are capable of achieving high spectral efficiency at a low hardware complexity and low power consumption. In this paper, we propose an RIS-assisted mmWave point-to-point system relying on dynamically configured subarray connected hybrid beamforming structures. More explicitly, an energy-efficient analog beamformer relying on twin-resolution phase shifters is proposed. Then, we conceive a successive interference cancelation (SIC) based method for jointly designing the hybrid beamforming matrix of the base station (BS) and the passive beamforming matrix of the RIS. Specifically, the associated bandwidth-efficiency maximization problem is transformed into a series of sub-problems, where the sub-array of phase shifters and RIS elements are jointly optimized for maximizing each sub-array’s rate. Furthermore, a greedy method is proposed for determining the phase shifter configuration of each sub-array. We then propose to update the RIS elements relying on a complex circle manifold (CCM)-based method. The proposed dynamic sub-connected structure as well as the proposed joint hybrid and passive beamforming method strikes an attractive trade-off between the bandwidth efficiency and power consumption. Our simulation results demonstrate the superiority of the proposed method compared to its traditional counterparts.

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Accepted/In Press date: 11 January 2022
e-pub ahead of print date: 13 January 2022
Published date: 1 August 2022

Identifiers

Local EPrints ID: 454325
URI: http://eprints.soton.ac.uk/id/eprint/454325
ISSN: 2327-4662
PURE UUID: 19aaf38d-f957-4d82-91a3-a855cf222611
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 07 Feb 2022 17:42
Last modified: 21 Sep 2024 01:32

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Contributors

Author: Chenghao Feng
Author: Wenqiang Shen
Author: Jianping An
Author: Lajos Hanzo ORCID iD

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