• DocumentCode
    2780985
  • Title

    Channel Prediction for Link Adaptation in LTE Uplink

  • Author

    Sahlin, Henrik

  • Author_Institution
    Baseband Res., Ericsson AB, Gothenburg, Sweden
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Link adaptation is the process of selecting Modulation and Coding Scheme (MCS) and Precoder Matrix Index (PMI) based on channel quality measures. Here a Signal to Interference and Noise Ratio (SINR) estimate is used as quality measure, which is calculated from channel and noise covariance estimates. An SINR expression is derived within the current paper which is designed for a Minimum Mean Square Error (MMSE) equalizer with a single tap channel model, which is an equalizer suitable for uplink Long Term Evolution (LTE). Channel estimates from Sounding Reference Signal (SRS) are used for this link adaptation. Illustrations are given in the current paper of the performance impact of the time delay between transmissions of SRS to the time instant when the result of the link adaptation is used. Furthermore, a channel predictor is proposed in order to reduce the impact of this delay. Simulations results indicate the benefits of using the proposed channel predictor, in terms of link level throughput.
  • Keywords
    Long Term Evolution; channel estimation; mean square error methods; precoding; radio links; LTE uplink; MMSE equalizer; SINR; channel covariance estimation; channel prediction; channel quality measure; coding scheme; link adaptation; link level throughput; minimum mean square error equalizer; modulation scheme; noise covariance estimation; precoder matrix index; signal to interference and noise ratio estimation; single tap channel model; sounding reference signal; uplink Long Term Evolution; Channel estimation; Covariance matrix; Demodulation; Interference; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6398940
  • Filename
    6398940