• DocumentCode
    3542077
  • Title

    Analysis of semidefinite relaxation detector in MIMO channel

  • Author

    Mussi, Alex Miyamoto ; Abrão, Taufik

  • Author_Institution
    Lab. of Commun. & Signal Process., State Univ. of Londrina, Londrina, Brazil
  • fYear
    2011
  • fDate
    Oct. 29 2011-Nov. 1 2011
  • Firstpage
    979
  • Lastpage
    983
  • Abstract
    Communication techniques based on multiple-input multiple-output (MIMO) have been increasingly exploited in order to obtain communication systems with high capacity and throughput, against the scenario of increasing scarcity of spectrum. In this context, the semidefinite relaxation (SDR) based-signal detector has attracted enormous interest. The sub-optimal SDR detection strategy is very promising due to its very near-optimal maximum-likelihood (ML) performance combined with polynomial time complexity cost. This work analyzes the SDR detector under MIMO channels, considering its robustness to imperfect channel coefficients estimation, as well as its performance under antenna selection technique.
  • Keywords
    MIMO communication; channel estimation; communication complexity; maximum likelihood estimation; radio spectrum management; relaxation theory; signal detection; wireless channels; MIMO channel; ML performance; SDR based-signal detector; antenna selection; communication system; communication technique; imperfect channel coefficient estimation; multiple-input multiple-output; near-optimal maximum-likelihood performance; polynomial time complexity cost; semidefinite relaxation detector; spectrum scarcity; suboptimal SDR detection; Approximation methods; Complexity theory; Detectors; MIMO; Receiving antennas; Transmitting antennas; MIMO channel; Semidefinite relaxation; antenna selection; maximum-likelihood estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave & Optoelectronics Conference (IMOC), 2011 SBMO/IEEE MTT-S International
  • Conference_Location
    Natal
  • ISSN
    Pending
  • Print_ISBN
    978-1-4577-1662-1
  • Type

    conf

  • DOI
    10.1109/IMOC.2011.6169384
  • Filename
    6169384