DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface

Wei Wang; Peizheng Li; Angela Doufexi; Mark A Beach

doi:10.23919/EuCAP60739.2024.10500993

DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface

Wei Wang^*
, Peizheng Li
, Angela Doufexi
, Mark A Beach

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

8 Downloads (Pure)

Abstract

Reconfigurable intelligent surface (RIS) technology is receiving significant attention as a key enabling technology for 6G communications, with much attention given to coverage infill and wireless power transfer. However, relatively little attention has been paid to the radiation pattern fidelity, for example, sidelobe suppression. When considering multi-user coverage infill, direct beam pattern synthesis using superposition can result in undesirable sidelobe levels. To address this issue, this paper introduces and applies deep reinforcement learning (DRL) as a means to optimize the far-field pattern, offering a 4dB reduction in the unwanted sidelobe levels, thereby improving energy efficiency and decreasing the co-channel interference levels.

Original language	English
Title of host publication	2024 18th European Conference on Antennas and Propagation (EuCAP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	9788831299091
ISBN (Print)	9798350394436
DOIs	https://doi.org/10.23919/EuCAP60739.2024.10500993
Publication status	Published - 26 Apr 2024
Event	18th European Conference on Antennas and Propagation (EuCAP) - Glasgow, United Kingdom Duration: 17 Mar 2024 → 22 Mar 2024 https://www.eucap2024.org/

Publication series

Name	Proceedings of the European Conference on Antennas and Propagation
Publisher	IEEE
ISSN (Print)	2164-3342

Conference

Conference	18th European Conference on Antennas and Propagation (EuCAP)
Abbreviated title	EuCAP2024
Country/Territory	United Kingdom
City	Glasgow
Period	17/03/24 → 22/03/24
Internet address	https://www.eucap2024.org/

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Access to Document

10.23919/EuCAP60739.2024.10500993

Full-text PDF (accepted manuscript)
This is the accepted author manuscript (AAM) of the article which has been made Open Access under the University of Bristol's Scholarly Works Policy. The final published version (Version of Record) can be found on the publisher's website. The copyright of any third-party content, such as images, remains with the copyright holder.
Accepted author manuscript, 758 KBLicence: CC BY

https://arxiv.org/abs/2312.15565

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Wang, W., Li, P., Doufexi, A., & Beach, M. A. (2024). DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface. In 2024 18th European Conference on Antennas and Propagation (EuCAP) (Proceedings of the European Conference on Antennas and Propagation). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.23919/EuCAP60739.2024.10500993

@inproceedings{4edc81bc8845401ebbcf438f0c68c6d0,

title = "DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface",

abstract = "Reconfigurable intelligent surface (RIS) technology is receiving significant attention as a key enabling technology for 6G communications, with much attention given to coverage infill and wireless power transfer. However, relatively little attention has been paid to the radiation pattern fidelity, for example, sidelobe suppression. When considering multi-user coverage infill, direct beam pattern synthesis using superposition can result in undesirable sidelobe levels. To address this issue, this paper introduces and applies deep reinforcement learning (DRL) as a means to optimize the far-field pattern, offering a 4dB reduction in the unwanted sidelobe levels, thereby improving energy efficiency and decreasing the co-channel interference levels.",

author = "Wei Wang and Peizheng Li and Angela Doufexi and Beach, \{Mark A\}",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 18th European Conference on Antennas and Propagation (EuCAP), EuCAP2024 ; Conference date: 17-03-2024 Through 22-03-2024",

year = "2024",

month = apr,

day = "26",

doi = "10.23919/EuCAP60739.2024.10500993",

language = "English",

isbn = "9798350394436",

series = "Proceedings of the European Conference on Antennas and Propagation",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2024 18th European Conference on Antennas and Propagation (EuCAP)",

address = "United States",

url = "https://www.eucap2024.org/",

}

Wang, W, Li, P, Doufexi, A & Beach, MA 2024, DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface. in 2024 18th European Conference on Antennas and Propagation (EuCAP). Proceedings of the European Conference on Antennas and Propagation, Institute of Electrical and Electronics Engineers (IEEE), 18th European Conference on Antennas and Propagation (EuCAP), Glasgow, United Kingdom, 17/03/24. https://doi.org/10.23919/EuCAP60739.2024.10500993

DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface. / Wang, Wei; Li, Peizheng; Doufexi, Angela et al.
2024 18th European Conference on Antennas and Propagation (EuCAP). Institute of Electrical and Electronics Engineers (IEEE), 2024. (Proceedings of the European Conference on Antennas and Propagation).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface

AU - Wang, Wei

AU - Li, Peizheng

AU - Doufexi, Angela

AU - Beach, Mark A

PY - 2024/4/26

Y1 - 2024/4/26

N2 - Reconfigurable intelligent surface (RIS) technology is receiving significant attention as a key enabling technology for 6G communications, with much attention given to coverage infill and wireless power transfer. However, relatively little attention has been paid to the radiation pattern fidelity, for example, sidelobe suppression. When considering multi-user coverage infill, direct beam pattern synthesis using superposition can result in undesirable sidelobe levels. To address this issue, this paper introduces and applies deep reinforcement learning (DRL) as a means to optimize the far-field pattern, offering a 4dB reduction in the unwanted sidelobe levels, thereby improving energy efficiency and decreasing the co-channel interference levels.

AB - Reconfigurable intelligent surface (RIS) technology is receiving significant attention as a key enabling technology for 6G communications, with much attention given to coverage infill and wireless power transfer. However, relatively little attention has been paid to the radiation pattern fidelity, for example, sidelobe suppression. When considering multi-user coverage infill, direct beam pattern synthesis using superposition can result in undesirable sidelobe levels. To address this issue, this paper introduces and applies deep reinforcement learning (DRL) as a means to optimize the far-field pattern, offering a 4dB reduction in the unwanted sidelobe levels, thereby improving energy efficiency and decreasing the co-channel interference levels.

UR - https://www.eucap2024.org/

U2 - 10.23919/EuCAP60739.2024.10500993

DO - 10.23919/EuCAP60739.2024.10500993

M3 - Conference Contribution (Conference Proceeding)

SN - 9798350394436

T3 - Proceedings of the European Conference on Antennas and Propagation

BT - 2024 18th European Conference on Antennas and Propagation (EuCAP)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 18th European Conference on Antennas and Propagation (EuCAP)

Y2 - 17 March 2024 through 22 March 2024

ER -

DRL-Based Sidelobe Suppression for Multi-Focus Reconfigurable Intelligent Surface

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