Parallelizable First-Order Fast Algorithm for Symbol-Level Precoding in Lage-Scale Systems

We investigate constructive interference (CI)-based symbol-level precoding (SLP) in large-scale systems with massive connectivity of users to minimize the transmit power subject to the instantaneous signal-to-interference-plus-noise-ratio (SINR) and CI constraints. By converting the considered probl...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE Vehicular Technology Conference s. 1 - 6
Hlavní autori: Yang, Junwen, Li, Ang, Liao, Xuewen, Masouros, Christos
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.06.2023
Predmet:
ADMM
Approximation algorithms
constructive interference
Downlink
Interference
Jacobian matrices
Massive MU-MISO
parallel and distributed computing
Precoding
separability
Simulation
symbol-level precoding
Vehicular and wireless technologies
ISSN:2577-2465
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract We investigate constructive interference (CI)-based symbol-level precoding (SLP) in large-scale systems with massive connectivity of users to minimize the transmit power subject to the instantaneous signal-to-interference-plus-noise-ratio (SINR) and CI constraints. By converting the considered problem into a novel separable formulation, we reveal the existence of separability in SLP, which is therefore well-suited for decomposition. The proximal Jacobian alternating direction method of multipliers (PJ-ADMM) framework is adopted to decompose the reformulated problem into multiple subproblems, which can be solved in parallel with closed-form solutions. We further linearize the second-order terms by approximation, which leads to a parallelizable first-order fast solution to SLP. Our derivations are validated by simulation results, which also show that our algorithm can provide optimal performance with substantially lower computational complexity than state-of-the-art algorithms.
AbstractList We investigate constructive interference (CI)-based symbol-level precoding (SLP) in large-scale systems with massive connectivity of users to minimize the transmit power subject to the instantaneous signal-to-interference-plus-noise-ratio (SINR) and CI constraints. By converting the considered problem into a novel separable formulation, we reveal the existence of separability in SLP, which is therefore well-suited for decomposition. The proximal Jacobian alternating direction method of multipliers (PJ-ADMM) framework is adopted to decompose the reformulated problem into multiple subproblems, which can be solved in parallel with closed-form solutions. We further linearize the second-order terms by approximation, which leads to a parallelizable first-order fast solution to SLP. Our derivations are validated by simulation results, which also show that our algorithm can provide optimal performance with substantially lower computational complexity than state-of-the-art algorithms.
Author Li, Ang
Yang, Junwen
Masouros, Christos
Liao, Xuewen
Author_xml – sequence: 1
  givenname: Junwen
  surname: Yang
  fullname: Yang, Junwen
  email: jwyang@stu.xjtu.edu.cn
  organization: Xi'an Jiaotong University,School of Information and Communications Engineering,Xi'an,China
– sequence: 2
  givenname: Ang
  surname: Li
  fullname: Li, Ang
  email: ang.li.2020@xjtu.edu.cn
  organization: Xi'an Jiaotong University,School of Information and Communications Engineering,Xi'an,China
– sequence: 3
  givenname: Xuewen
  surname: Liao
  fullname: Liao, Xuewen
  email: yeplos@mail.xjtu.edu.cn
  organization: Xi'an Jiaotong University,School of Information and Communications Engineering,Xi'an,China
– sequence: 4
  givenname: Christos
  surname: Masouros
  fullname: Masouros, Christos
  email: c.masouros@ucl.ac.uk
  organization: University College London,Department of Electronic and Electrical Engineering,London,UK
BookMark eNo1kE9LwzAchqMouM19Aw-5esjML2n-9DiGVaGwQacHLyNN0xlJW0mKMD-9FfX0wnt4eN9nji76oXcI3QJdAdD87mW_YZRxUn1E3x-FkqBXP8UKKOS5FPoMLXOVay4oB4CMn6MZE0oRlklxheYpvVNKASSbodediSYEF_yXqYPDhY9pJNvYuIgLk0a8Dsch-vGtw-0QcXXq6iGQ0n26gHfR2aGZJmDf49IcHamsmRjVKY2uS9fosjUhueVfLtBzcb_fPJJy-_C0WZfEM5qNRGSKOgMcGsWz2lowdSYaZhmVumFSaqO40VoBq3kLloPmLFeWtU1WT9cFX6CbX653zh0mJ52Jp8O_C_4NWedYHw
ContentType Conference Proceeding
DBID 6IE
6IH
CBEJK
RIE
RIO
DOI 10.1109/VTC2023-Spring57618.2023.10199658
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan (POP) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP) 1998-present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9798350311143
EISSN 2577-2465
EndPage 6
ExternalDocumentID 10199658
Genre orig-research
GrantInformation_xml – fundername: Research and Development
  funderid: 10.13039/100006190
– fundername: Southeast University
  funderid: 10.13039/501100008081
GroupedDBID -~X
29I
6IE
6IH
AFFNX
AI.
ALMA_UNASSIGNED_HOLDINGS
CBEJK
RIE
RIO
RNS
VH1
ID FETCH-LOGICAL-i204t-5470ea131d734bcc1ab45d2c2068d2668a73a88712b3f1c3183297c2fd4b76153
IEDL.DBID RIE
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001054797200138&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Nov 26 07:26:18 EST 2025
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i204t-5470ea131d734bcc1ab45d2c2068d2668a73a88712b3f1c3183297c2fd4b76153
PageCount 6
ParticipantIDs ieee_primary_10199658
PublicationCentury 2000
PublicationDate 2023-June
PublicationDateYYYYMMDD 2023-06-01
PublicationDate_xml – month: 06
  year: 2023
  text: 2023-June
PublicationDecade 2020
PublicationTitle IEEE Vehicular Technology Conference
PublicationTitleAbbrev VTC
PublicationYear 2023
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001162
Score 2.2209656
Snippet We investigate constructive interference (CI)-based symbol-level precoding (SLP) in large-scale systems with massive connectivity of users to minimize the...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms ADMM
Approximation algorithms
constructive interference
Downlink
Interference
Jacobian matrices
Massive MU-MISO
parallel and distributed computing
Precoding
separability
Simulation
symbol-level precoding
Vehicular and wireless technologies
Title Parallelizable First-Order Fast Algorithm for Symbol-Level Precoding in Lage-Scale Systems
URI https://ieeexplore.ieee.org/document/10199658
WOSCitedRecordID wos001054797200138&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELagQggWXkW85YGFwSW2k9gZUUXEUJVKLahiqfwKRGoTlKZI_HtsNy0wMLBZGU6WT777cv7uOwCuZSICQeIMcZqFKOQyRtzRxLKMC2mIZInQftgE6_f5eJwMmmZ13wtjjPHkM9NxS_-Wr0u1cKUye8MdZzbim2CTsXjZrLUOuxjHZBvcNCKat8-jrpsMjpb1MYuqsSNyEdpZGfk1TsVnk3Tvn_vYB-3vvjw4WGecA7BhikOw-0NS8Ai8DETlxqN4ttbUwDS38A49OoFNmIp5De-mr2WV128zaOEqHH7OZDlFPUcdsqbtv6izDPMC9mygQUPrQQMbVfM2eErvR90H1MxPQDkJwhpFIQuMwBRrRkOpFBYyjDRRJIi5tomZC0aFDTKYSJph5W93whTJdCiZA4LHoFWUhTkBMBCGC4u9aGR4aBFVQrnSmdFREkhNqDkFbXdMk_elRMZkdUJnf3w_BzveO76ccQFadbUwl2BLfdT5vLryjv0CTzyj9g
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELagIB4LryLeeGBhcElsJ3FGVBGBCKVSC6pYKjt2IFKboDRF4t9ju2mBgYHNynCyfPLdl_N39wFwIULucOyniJGUIsqEj5ihiaUp40JhEYRcWrGJoNNhg0HYrZvVbS-MUsqSz1TLLO1bviySqSmV6RtuOLMeWwYrRjqrbtdaBF7X9fEauKzHaF4999tGGxzNKmQaV7uGyoVJa27ml6CKzSfR1j93sg2a3515sLvIOTtgSeW7YPPHUME98NLlpRFIsXytkYJRpgEeejQjNmHEJxW8Hr0WZVa9jaEGrLD3ORbFCMWGPKRN679RYxlmOYx1qEE97UMF67nmTfAU3fTbt6hWUEAZdmiFPBo4irvElQGhIklcLqgncYIdn0mdmhkPCNdhxsWCpG5i73cYJDiVVAQGCu6DRl7k6gBAhyvGNfoinmJUY6qQsESmSnqhIyQm6hA0zTEN32dDMobzEzr64_s5WL_tP8TD-K5zfww2rKdsceMENKpyqk7BavJRZZPyzDr5CwqFpz8
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=IEEE+Vehicular+Technology+Conference&rft.atitle=Parallelizable+First-Order+Fast+Algorithm+for+Symbol-Level+Precoding+in+Lage-Scale+Systems&rft.au=Yang%2C+Junwen&rft.au=Li%2C+Ang&rft.au=Liao%2C+Xuewen&rft.au=Masouros%2C+Christos&rft.date=2023-06-01&rft.pub=IEEE&rft.eissn=2577-2465&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FVTC2023-Spring57618.2023.10199658&rft.externalDocID=10199658