• DocumentCode
    2977211
  • Title

    Partial Channel-Knowledge for the Fast Least-Squares Solution-Seeker Algorithm

  • Author

    Rico, Ulises Pineda ; Alsusa, Emad ; Navarro, Enrique Stevens ; Rivera, J. Martin Luna

  • Author_Institution
    Fac. de Cienc., Univ. Autonoma de San Luis Potosi, San Luis Potosi, Mexico
  • fYear
    2010
  • fDate
    18-21 April 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Precoding is introduced as an excellent choice for complementing the MIMO systems. In addition, the non-linear techniques can achieve near optimal capacity at the expense of reasonable levels of complexity. Such techniques show that any known interference at the transmitter can be subtracted at the receiver without the penalty of degrading the radio resources. However, precoding is subject to the knowledge of the channel. On the other hand, recent works in MIMO systems have shown that channel-knowledge at the transmitter, in either full or partial forms can increase the channel capacity and performance considerably. Thus, we present a precoding algorithm able to deal efficiently in fully/partially-known channels with the advantage of keeping low levels of complexity.
  • Keywords
    MIMO communication; channel capacity; precoding; radio transmitters; MIMO systems; channel capacity; least squares solution seeker algorithm; nonlinear technique; partial channel knowledge; precoding algorithm; transmitter; Channel capacity; Communications Society; Degradation; Energy management; Interference; MIMO; Mobile communication; Power system management; Radio transmitters; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2010 IEEE
  • Conference_Location
    Sydney, NSW
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-6396-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2010.5506711
  • Filename
    5506711