• DocumentCode
    2761810
  • Title

    Adaptive Modulation and Coding for IEEE 802.11n

  • Author

    Peng, Fei ; Zhang, Jinyun ; Ryan, William E.

  • Author_Institution
    Arizona Univ., Tucson, AZ
  • fYear
    2007
  • fDate
    11-15 March 2007
  • Firstpage
    656
  • Lastpage
    661
  • Abstract
    We propose a link adaptation technique for IEEE 802.11n MIMO-OFDM systems with convolutional coding. The technique dynamically selects the best modulation and coding scheme (MCS) based on channel conditions and on the medium access control (MAC) layer performance (coded BER or PER) requested by applications. We show that the coded performance at decoder output can be modeled as a function of decoder-input uncoded BER and the code rate. For MIMO-OFDM systems with different modulation types for different spatial streams at each subcarrier, we propose a simple and accurate method for computing the BER for each spatial stream mixed from different subcarriers. We also discuss approaches for searching and selecting the MCS.
  • Keywords
    IEEE standards; MIMO communication; OFDM modulation; access protocols; adaptive codes; adaptive modulation; convolutional codes; error statistics; IEEE 802.11n; MIMO-OFDM systems; adaptive coding; adaptive modulation; bit error rate; channel conditions; code rate; convolutional coding; decoder output; link adaptation; medium access control; Analytical models; Array signal processing; Bit error rate; Convolutional codes; Decoding; Fading; MIMO; Media Access Protocol; Modulation coding; OFDM modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
  • Conference_Location
    Kowloon
  • ISSN
    1525-3511
  • Print_ISBN
    1-4244-0658-7
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2007.126
  • Filename
    4224371