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Joint hybrid 3D beamforming relying on sensor-based training for reconfigurable intelligent surface aided TeraHertz-based multi-user massive MIMO systems

Joint hybrid 3D beamforming relying on sensor-based training for reconfigurable intelligent surface aided TeraHertz-based multi-user massive MIMO systems
Joint hybrid 3D beamforming relying on sensor-based training for reconfigurable intelligent surface aided TeraHertz-based multi-user massive MIMO systems
Terahertz (THz) systems have the benefit of high bandwidth and hence are capable of supporting ultra-high data rates, albeit at the cost of high pathloss. Hence they tend to harness high-gain beamforming. Therefore a joint hybrid 3D beamformer relying on sophisticated sensorbased beam training and channel estimation is proposed for Reconfigurable Intelligent Surface (RIS) aided THz Multi-user Massive Multiple Input Multiple Output (MIMO) systems. A novel joint subarray based THz base station (BS) architecture and the corresponding sub-RIS is proposed. The BS, RIS and receiver antenna arrays of the users are all Uniform Planar Arrays (UPAs). Moreover, the conditions of maintaining the orthogonality of the proposed joint architecture are derived in support of spatial multiplexing. The closed-form expressions of the near-field and far-field pathloss are also derived. The Ultra-wideband (UWB) sensors are integrated into the RIS and the user location information obtained by the UWB sensors is exploited for channel estimation. The optimal active and passive beamforming schemes are also derived. Moreover, Precise Beamforming Algorithm (PBA) for joint RIS phase shift and user equipment (UE) receiver beamforming is proposed, which further improves the beamforming accuracy by circumventing the performance limitations imposed by positioning errors. Our simulation results show that the proposed system significantly improves the spectral efficiency, despite its low complexity. Compared to the scheme operating without PBA, our proposed scheme increases the spectral efficiency on average by 10.41%, 10.17%, and 5.19% for the three farfield configurations, and by 5.05% and 3.95% for the two nearfield configurations, respectively. This makes our solution eminently suitable for delay sensitive applications.
Antenna arrays, Array signal processing, Channel estimation, Joint hybrid 3D beamforming, Massive MIMO, Radio frequency, TeraHertz, Three-dimensional displays, Training, UWB sensors, beam-training, sub-RIS
1530-437X
1
Wang, Xufang
abd5b967-032e-4011-81bb-68e5d40e9dba
Lin, Zihuai
ccf46fdb-cda4-4fbe-9cab-41ba727def88
Lin, Feng
07c7383d-53a3-41bb-82f4-98c24495fd01
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Xufang
abd5b967-032e-4011-81bb-68e5d40e9dba
Lin, Zihuai
ccf46fdb-cda4-4fbe-9cab-41ba727def88
Lin, Feng
07c7383d-53a3-41bb-82f4-98c24495fd01
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Xufang, Lin, Zihuai, Lin, Feng and Hanzo, Lajos (2022) Joint hybrid 3D beamforming relying on sensor-based training for reconfigurable intelligent surface aided TeraHertz-based multi-user massive MIMO systems. IEEE Sensors Journal, 1. (doi:10.1109/JSEN.2022.3182881).

Record type: Article

Abstract

Terahertz (THz) systems have the benefit of high bandwidth and hence are capable of supporting ultra-high data rates, albeit at the cost of high pathloss. Hence they tend to harness high-gain beamforming. Therefore a joint hybrid 3D beamformer relying on sophisticated sensorbased beam training and channel estimation is proposed for Reconfigurable Intelligent Surface (RIS) aided THz Multi-user Massive Multiple Input Multiple Output (MIMO) systems. A novel joint subarray based THz base station (BS) architecture and the corresponding sub-RIS is proposed. The BS, RIS and receiver antenna arrays of the users are all Uniform Planar Arrays (UPAs). Moreover, the conditions of maintaining the orthogonality of the proposed joint architecture are derived in support of spatial multiplexing. The closed-form expressions of the near-field and far-field pathloss are also derived. The Ultra-wideband (UWB) sensors are integrated into the RIS and the user location information obtained by the UWB sensors is exploited for channel estimation. The optimal active and passive beamforming schemes are also derived. Moreover, Precise Beamforming Algorithm (PBA) for joint RIS phase shift and user equipment (UE) receiver beamforming is proposed, which further improves the beamforming accuracy by circumventing the performance limitations imposed by positioning errors. Our simulation results show that the proposed system significantly improves the spectral efficiency, despite its low complexity. Compared to the scheme operating without PBA, our proposed scheme increases the spectral efficiency on average by 10.41%, 10.17%, and 5.19% for the three farfield configurations, and by 5.05% and 3.95% for the two nearfield configurations, respectively. This makes our solution eminently suitable for delay sensitive applications.

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Sensors-47919-2022.R1 - Accepted Manuscript
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Published date: 20 June 2022
Keywords: Antenna arrays, Array signal processing, Channel estimation, Joint hybrid 3D beamforming, Massive MIMO, Radio frequency, TeraHertz, Three-dimensional displays, Training, UWB sensors, beam-training, sub-RIS

Identifiers

Local EPrints ID: 458148
URI: http://eprints.soton.ac.uk/id/eprint/458148
ISSN: 1530-437X
PURE UUID: 25c8028d-444c-41fd-bd49-2444d6384c26
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 29 Jun 2022 17:05
Last modified: 22 Jul 2022 01:32

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Contributors

Author: Xufang Wang
Author: Zihuai Lin
Author: Feng Lin
Author: Lajos Hanzo ORCID iD

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