Low complexity signal detector based on SSOR iteration for large-scale MIMO systems

The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of prohibitive computational complexity. In conventional linear detection such as the minimum mean square error (MMSE) signal detection, the hig...

Full description

Saved in:
Bibliographic Details
Published in:International Conference on Wireless Communications and Signal Processing pp. 1 - 6
Main Authors: Yaoyao Sun, Zhengquan Li, Chi Zhang, Rui Zhang, Feng Yan, Lianfeng Shen
Format: Conference Proceeding
Language:English
Published: IEEE 01.10.2017
Subjects:
Channel estimation
channel hardening
Computational complexity
Detectors
Handheld computers
Large-scale MIMO systems
MIMO
MMSE
symmetric successive over relaxation (SSOR)
ISSN:2472-7628
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of prohibitive computational complexity. In conventional linear detection such as the minimum mean square error (MMSE) signal detection, the high complexity is mainly caused by solving the inversion of random matrix, especially in large-scale MIMO systems. In order to reduce the complexity of the matrix inversion, we proposed a low-complexity MMSE detection scheme based on symmetric successive over relaxation (SSOR) method, referred to as MSSD method. The proposed method exploits the channel hardening phenomenon, which means the off-diagonal terms of the H H H matrix become increasingly weaker compared to the diagonal terms as the size of the channel gain matrix H increases. In addition, we point out that the channel estimation scheme used in channel hardening-exploiting message passing receiver (CHEMP) is very suitable for the MSSD algorithm. For the considered large MIMO settings, simulation results show that the performance of the MSSD algorithm is very close to the classical MMSE detection algorithm with a small number of iterations.
AbstractList The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of prohibitive computational complexity. In conventional linear detection such as the minimum mean square error (MMSE) signal detection, the high complexity is mainly caused by solving the inversion of random matrix, especially in large-scale MIMO systems. In order to reduce the complexity of the matrix inversion, we proposed a low-complexity MMSE detection scheme based on symmetric successive over relaxation (SSOR) method, referred to as MSSD method. The proposed method exploits the channel hardening phenomenon, which means the off-diagonal terms of the H H H matrix become increasingly weaker compared to the diagonal terms as the size of the channel gain matrix H increases. In addition, we point out that the channel estimation scheme used in channel hardening-exploiting message passing receiver (CHEMP) is very suitable for the MSSD algorithm. For the considered large MIMO settings, simulation results show that the performance of the MSSD algorithm is very close to the classical MMSE detection algorithm with a small number of iterations.
Author Yaoyao Sun
Chi Zhang
Rui Zhang
Lianfeng Shen
Zhengquan Li
Feng Yan
Author_xml – sequence: 1
  surname: Yaoyao Sun
  fullname: Yaoyao Sun
  email: 220150799@seu.edu.cn
  organization: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
– sequence: 2
  surname: Zhengquan Li
  fullname: Zhengquan Li
  email: lzq722@seu.edu.cn
  organization: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
– sequence: 3
  surname: Chi Zhang
  fullname: Chi Zhang
  email: cindyzc@seu.edu.cn
  organization: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
– sequence: 4
  surname: Rui Zhang
  fullname: Rui Zhang
  email: Zhangrui09@seu.edu.cn
  organization: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
– sequence: 5
  surname: Feng Yan
  fullname: Feng Yan
  email: feng.yan@seu.edu.cn
  organization: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
– sequence: 6
  surname: Lianfeng Shen
  fullname: Lianfeng Shen
  email: lfshen@seu.edu.cn
  organization: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
BookMark eNotkNtKxDAURaMoODPOB4gv-YHWc9JLmkcpXgY6VKzi45C2J0Okl6EJaP_egvO02WvDethrdjWMAzF2hxAignr4yqu3UADKMEMJCsQFW2MSZamAVKSXbCViKQKZiuyGbZ37BgBMMVEiXrGqGH94M_anjn6tn7mzx0F3vCVPjR8nXmtHLR8HXlXlO7eeJu3tUs2ydXo6UuAa3RHf7_Yld7Pz1Ltbdm1052h7zg37fH76yF-DonzZ5Y9FYFEmPhBEWaIMSlKkE2Pa2JCkWtUNKI2oUhD1wnUTQdxERgth2oRiA6ptY0AVbdj9v9cS0eE02V5P8-H8QfQHoqJS5g
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/WCSP.2017.8170902
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
Discipline Engineering
EISBN 1538620626
9781538620625
EISSN 2472-7628
EndPage 6
ExternalDocumentID 8170902
Genre orig-research
GroupedDBID 6IE
6IF
6IH
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
OCL
RIE
RIL
RNS
ID FETCH-LOGICAL-i175t-2ee859f17e9ea5ffd4fe7eb9bc09a119602ba5fac304c3fa22fd5e4f09dd40193
IEDL.DBID RIE
ISICitedReferencesCount 0
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000426972200028&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 02:37:03 EDT 2025
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-2ee859f17e9ea5ffd4fe7eb9bc09a119602ba5fac304c3fa22fd5e4f09dd40193
PageCount 6
ParticipantIDs ieee_primary_8170902
PublicationCentury 2000
PublicationDate 2017-Oct.
PublicationDateYYYYMMDD 2017-10-01
PublicationDate_xml – month: 10
  year: 2017
  text: 2017-Oct.
PublicationDecade 2010
PublicationTitle International Conference on Wireless Communications and Signal Processing
PublicationTitleAbbrev WCSP
PublicationYear 2017
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001615924
Score 2.1059358
Snippet The scaling up of antennae and terminals in large-scale multiple-input multiple-output (MIMO) systems helps increase the spectral efficiency at the penalty of...
SourceID ieee
SourceType Publisher
StartPage 1
SubjectTerms Channel estimation
channel hardening
Computational complexity
Detectors
Handheld computers
Large-scale MIMO systems
MIMO
MMSE
symmetric successive over relaxation (SSOR)
Title Low complexity signal detector based on SSOR iteration for large-scale MIMO systems
URI https://ieeexplore.ieee.org/document/8170902
WOSCitedRecordID wos000426972200028&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/eLvHCXMwlV1LS8NAEB5q8aAXH634Zg8eTZtsm6R7LhYF-8Ao9lb2MQuFkpQ2VX--s0loFbx4WxY2CzNkv9nZb74BuLNhgJGvXaKqhx6dkugpHtDIOPik41BEZbOJeDTqTadiUoP7bS0MIhbkM2y5YfGWbzK9camythOTE045ci-Oo7JWa5dPoW_TXaJ6uAx80X7vJxPH3Ypb1bpfDVQK_Bgc_W_nY2juCvHYZAsxJ1DD9BQOf2gINiB5zj5ZQQzHL4qomSNkyAUzmBf5eOZgyrAsZUkyfmGliDL5glGwyhaOBu6tyU3Ihk_DMSt1nddNeBs8vPYfvapTgjcn-M89jtgLhQ1iFChDa03XYoxKKO0LGdBP5nNF81J3_K7uWMm5NSF2rS-MoQuW6JxBPc1SPAdmA0MxBDcKjXbibVJH0pJllUATqoBfQMOZZ7YsxTBmlWUu_56-ggPngZL9dg31fLXBG9jXH_l8vbotPPgNyNCd-w
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED_GFNQXPzbx2zz4aLc2bdfleTg23Bd24t5Gm1xgMFrZOvXP99KWTcEX30IgCdyRu8vld78DeNC-gy1bmkRVGy2ykmjF3KGRMu6TzKFoFc0mgtGoPZuJSQUet7UwiJiDz7BhhvlfvkrlxqTKmoZMThjmyD3f87hdVGvtMiq0O70myq9LxxbNt044MeitoFGu_NVCJfcg3eP_nX0C9V0pHptsncwpVDA5g6MfLII1CAfpJ8uh4fhFMTUzkIxoyRRmeUaeGUelWJqwMBy_sIJGmbTBKFxlSwMEt9akKGTD_nDMCmbndR1eu0_TTs8qeyVYCwoAMosjtn2hnQAFRr7WytMYYCxiaYvIoWtm85jmI-nannR1xLlWPnraFkrRE0u451BN0gQvgGlHURTBVYxKGvq2SLYiTZKNBSo_dvgl1Ix45u8FHca8lMzV39P3cNCbDgfzQX_0fA2HRhsFFu4Gqtlqg7ewLz-yxXp1l2vzGy1poUI
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%3Ajournal&rft.genre=proceeding&rft.title=International+Conference+on+Wireless+Communications+and+Signal+Processing&rft.atitle=Low+complexity+signal+detector+based+on+SSOR+iteration+for+large-scale+MIMO+systems&rft.au=Yaoyao+Sun&rft.au=Zhengquan+Li&rft.au=Chi+Zhang&rft.au=Rui+Zhang&rft.date=2017-10-01&rft.pub=IEEE&rft.eissn=2472-7628&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FWCSP.2017.8170902&rft.externalDocID=8170902