• DocumentCode
    1208887
  • Title

    Adaptive PSAM accounting for channel estimation and prediction errors

  • Author

    Cai, Xiaodong ; Giannakis, Georgios B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    4
  • Issue
    1
  • fYear
    2005
  • Firstpage
    246
  • Lastpage
    256
  • Abstract
    Adaptive modulation requires channel state information (CSI), which can be acquired at the receiver by inserting pilot symbols in the transmitted signal. We first analyze the effect linear minimum mean square error (MMSE) channel estimation and prediction errors have on bit-error rate (BER). Based on this analysis, we develop adaptive pilot symbol assisted modulation (PSAM) schemes that account for both channel estimation and prediction errors to meet a target BER. While pilot symbols facilitate channel acquisition, they consume part of transmitted power and bandwidth, which in turn, reduces spectral efficiency. With imperfect (and thus, partial) CSI available at the transmitter and receiver, two questions arise naturally: how often should pilot symbols be transmitted, and how much power should be allocated to pilot symbols. We address these two questions by optimizing pilot parameters to maximize spectral efficiency.
  • Keywords
    adaptive modulation; channel estimation; error statistics; least mean squares methods; optimisation; BER; adaptive modulation; adaptive pilot symbol assisted modulation scheme; bit-error rate; channel acquisition; channel estimation; channel state information; linear minimum mean square error estimation; prediction error; Bit error rate; Channel estimation; Channel state information; Collaborative work; Estimation error; Feedback; Government; Mean square error methods; State estimation; Transmitters;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2004.840200
  • Filename
    1381442