• DocumentCode
    2267510
  • Title

    Minimum estimation and combining generalized selection combining (MEC-GSC)

  • Author

    Alouini, Mohamed-Slim ; Yang, Hong-Chuan

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., Doha
  • fYear
    2005
  • fDate
    4-9 Sept. 2005
  • Firstpage
    578
  • Lastpage
    582
  • Abstract
    This paper introduces a new adaptive minimum-estimation minimum-combining switched-combining based scheme that reduces considerably the average receiver channel estimation complexity and the power drain from the battery while satisfying the desired performance requirement. More specifically, analysis supported by numerical results show that the newly proposed combining scheme can achieve essentially the same performance as competing schemes such as generalized selection combining (GSC) and minimum selection GSC while offering 50% channel estimation and 75% processing power savings for some system parameters of interest
  • Keywords
    channel estimation; diversity reception; adaptive minimum-estimation minimum-combining switched-combining based scheme; generalized selection combining; receiver channel estimation complexity; Batteries; Channel estimation; Computer science education; Diversity reception; MIMO; Multiaccess communication; Performance analysis; Power engineering education; System performance; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    0-7803-9151-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2005.1523401
  • Filename
    1523401