Optimizing the Phase Shifts of RIS by MM Algorithm in RIS-Aided Positioning Systems

In Reconfigurable intelligent surface (RIS)-aided positioning systems, a proper design of RIS phase profile is important to fully explore the potential of RIS. Generally, the position error bound (PEB) is used as a metric of positioning performance, and the phase shifts of RIS are optimized to minim...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2023 3rd International Conference on Intelligent Communications and Computing (ICC) s. 168 - 173
Hlavní autoři: Hong, Sheng, Liang, Mengdan, Zhou, Rumeng, Xu, Pengzhen
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 24.11.2023
Témata:
Complexity theory
MM algorithm
Optimization
Parameter estimation
position error bound
Positioning
Real-time systems
reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Signal to noise ratio
Transforms
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract In Reconfigurable intelligent surface (RIS)-aided positioning systems, a proper design of RIS phase profile is important to fully explore the potential of RIS. Generally, the position error bound (PEB) is used as a metric of positioning performance, and the phase shifts of RIS are optimized to minimize the PEB. However, the optimization for PEB is very complex and time-consuming, because (1) the expression of PEB is complex and not compact, (2) the phase shifts are usually time-variant to enable the parameter estimation, (3) the number of RIS units is large. To ensure a real-time positioning system, it is essential to develop a low-complex optimization scheme. Thus, in this paper, we transform the minimization of PEB into the maximization of signal-to-noise ratio (SNR) and propose to optimize RIS phase shifts by the majorization-maximization (MM) algorithm. It is shown that optimizing the SNR can achieve the purpose of reducing the PEB, and the optimization complexity is significantly reduced at the cost of negligible performance loss. Moreover, the superiority of the proposed optimization scheme becomes pronounced when the time slots and RIS units are numerous.
AbstractList In Reconfigurable intelligent surface (RIS)-aided positioning systems, a proper design of RIS phase profile is important to fully explore the potential of RIS. Generally, the position error bound (PEB) is used as a metric of positioning performance, and the phase shifts of RIS are optimized to minimize the PEB. However, the optimization for PEB is very complex and time-consuming, because (1) the expression of PEB is complex and not compact, (2) the phase shifts are usually time-variant to enable the parameter estimation, (3) the number of RIS units is large. To ensure a real-time positioning system, it is essential to develop a low-complex optimization scheme. Thus, in this paper, we transform the minimization of PEB into the maximization of signal-to-noise ratio (SNR) and propose to optimize RIS phase shifts by the majorization-maximization (MM) algorithm. It is shown that optimizing the SNR can achieve the purpose of reducing the PEB, and the optimization complexity is significantly reduced at the cost of negligible performance loss. Moreover, the superiority of the proposed optimization scheme becomes pronounced when the time slots and RIS units are numerous.
Author Liang, Mengdan
Zhou, Rumeng
Xu, Pengzhen
Hong, Sheng
Author_xml – sequence: 1
  givenname: Sheng
  surname: Hong
  fullname: Hong, Sheng
  email: shenghong@ncu.edu.cn
  organization: School of Information Engineering, Nanchang University,Nanchang,China,330031
– sequence: 2
  givenname: Mengdan
  surname: Liang
  fullname: Liang, Mengdan
  email: mengdanliang@email.ncu.edu.cn
  organization: School of Information Engineering, Nanchang University,Nanchang,China,330031
– sequence: 3
  givenname: Rumeng
  surname: Zhou
  fullname: Zhou, Rumeng
  email: rumengzhou@email.ncu.edu.cn
  organization: School of Information Engineering, Nanchang University,Nanchang,China,330031
– sequence: 4
  givenname: Pengzhen
  surname: Xu
  fullname: Xu, Pengzhen
  email: pengzhenxu@email.ncu.edu.cn
  organization: School of Information Engineering, Nanchang University,Nanchang,China,330031
BookMark eNo1j0tqwzAUAFVoF22aG5SiC9jV0yeWlsb0E0hIqNt1kOynWBDbwdLGPX0JTVcDsxiYB3I7jAMS8gwsB2DmZV1Vyhi9yjnjIgcmOQCoG7I0hdFCMcG04MU9qXfnFPrwE4YjTR3SfWcj0roLPkU6evq5rqmb6XZLy9NxnELqehqGi87K0GJL92MMKYzDJVDPMWEfH8mdt6eIyysX5Pvt9av6yDa793VVbrIAYFImnRSucIXQBpyxwjJYoUQsmDNecwdWcO0bp5qWSfBSibbxSgvtZIO2MGJBnv66AREP5yn0dpoP_6_iF6y4TYM
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICC59986.2023.10421115
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9798350308327
EndPage 173
ExternalDocumentID 10421115
Genre orig-research
GrantInformation_xml – fundername: Natural Science Foundation of Jiangxi Province
  grantid: 20232BAB202016
  funderid: 10.13039/501100004479
– fundername: National Natural Science Foundation of China
  grantid: 62301243
  funderid: 10.13039/501100001809
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i119t-4b43b7b73891b9a3a016e4ee70b9f82b1a328fcb5cd041f453dcf5838b4cea793
IEDL.DBID RIE
IngestDate Wed May 01 11:50:45 EDT 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i119t-4b43b7b73891b9a3a016e4ee70b9f82b1a328fcb5cd041f453dcf5838b4cea793
PageCount 6
ParticipantIDs ieee_primary_10421115
PublicationCentury 2000
PublicationDate 2023-Nov.-24
PublicationDateYYYYMMDD 2023-11-24
PublicationDate_xml – month: 11
  year: 2023
  text: 2023-Nov.-24
  day: 24
PublicationDecade 2020
PublicationTitle 2023 3rd International Conference on Intelligent Communications and Computing (ICC)
PublicationTitleAbbrev ICC
PublicationYear 2023
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.8518996
Snippet In Reconfigurable intelligent surface (RIS)-aided positioning systems, a proper design of RIS phase profile is important to fully explore the potential of RIS....
SourceID ieee
SourceType Publisher
StartPage 168
SubjectTerms Complexity theory
MM algorithm
Optimization
Parameter estimation
position error bound
Positioning
Real-time systems
reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Signal to noise ratio
Transforms
Title Optimizing the Phase Shifts of RIS by MM Algorithm in RIS-Aided Positioning Systems
URI https://ieeexplore.ieee.org/document/10421115
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA86fPBJxYnf5MHXzLRNm-ZxDIcDN4tT2NtoehdXcO3YOkH_epOuU3zwQchDOEICdxx3l7vfHSE3xmhPhIFgRnFgwkTAFIBiMfI4jWzIFagaKPwgR6N4MlFJA1avsTCIWBefYcdt61w-lNnafZVZDRc2XnGQ8l0pow1Yq0H9elzdDnq90EYPrvDADzrbw7_GptRWo3_wz_cOSfsHf0eTb8tyRHawOCbjR6vd8_zTUqj12mgyswaIjme5qVa0NPRpMKb6gw6HtPv2WtqYfzaneeHIrJsDAk2a-ix3QdOovE1e-nfPvXvWjERgueepigktAi21dNlFrdIgtR4bCkTJtTKxr7008GOT6TADLjxjpQCZcZlRLTJMrS6ekFZRFnhKaJyi8kOwC9GaaVCRUSAjozlILsA_I23Hkeli0_ViumXG-R_0C7Lv-O5wer64JK1qucYrspe9V_lqeV3L6gstW5ZG
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA8yBX1SceK3efA1M23TjzyO4dhwm8VN2NtoehdXcK1snaB_vUlXFR98EPIQjpDAHcfd5e53R8iN1soRvieYlhyY0AEwCSBZhDxKAhNyebICCg_C0SiaTmVcg9UrLAwiVsVn2LLbKpcPRbq2X2VGw4WJVyykfNsXwuUbuFaN-3W4vO13Or6JH2zpgeu1vo7_GpxS2Y3u_j9fPCDNHwQejb9tyyHZwvyIjB-Mfi-yD0Ohxm-j8dyYIDqeZ7pc0ULTx_6Yqnc6HNL2y3Nhov75gma5JbN2Bgg0riu07AV1q_ImeereTTo9Vg9FYJnjyJIJJTwVqtDmF5VMvMT4bCgQQ66kjlzlJJ4b6VT5KXDhaCMHSLXNjSqRYmK08Zg08iLHE0KjBKXrg1mIxlCDDLSEMNCKQ8gFuKekaTkye930vZh9MePsD_o12e1NhoPZoD-6Pyd7VgYWteeKC9Iol2u8JDvpW5mtlleV3D4BL0eZjQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2023+3rd+International+Conference+on+Intelligent+Communications+and+Computing+%28ICC%29&rft.atitle=Optimizing+the+Phase+Shifts+of+RIS+by+MM+Algorithm+in+RIS-Aided+Positioning+Systems&rft.au=Hong%2C+Sheng&rft.au=Liang%2C+Mengdan&rft.au=Zhou%2C+Rumeng&rft.au=Xu%2C+Pengzhen&rft.date=2023-11-24&rft.pub=IEEE&rft.spage=168&rft.epage=173&rft_id=info:doi/10.1109%2FICC59986.2023.10421115&rft.externalDocID=10421115