• DocumentCode
    1373496
  • Title

    On Multipath Fading Channels at High SNR

  • Author

    Koch, Tobias ; Lapidoth, Amos

  • Author_Institution
    Dept. of Inf. Technol. & Electr. Eng., ETH Zurich, Zurich, Switzerland
  • Volume
    56
  • Issue
    12
  • fYear
    2010
  • Firstpage
    5945
  • Lastpage
    5957
  • Abstract
    A noncoherent multipath fading channel is considered, where neither the transmitter nor the receiver is cognizant of the realization of the path gains, but both are cognizant of their statistics. It is shown that if the delay spread is large in the sense that the variances of the path gains decay exponentially or slower, then capacity is bounded in the signal-to-noise ratio (SNR). For such channels, capacity does not tend to infinity as the SNR tends to infinity. In contrast, if the variances of the path gains decay faster than exponentially, then capacity is unbounded in the SNR. It is further demonstrated that if the number of paths is finite, then at high SNR capacity grows double-logarithmically with the SNR, and the capacity pre-loglog-defined as the limiting ratio of capacity to loglog(SNR) as the SNR tends to infinity-is 1 irrespective of the number of paths. The results demonstrate that at high SNR multipath fading channels with an infinite number of paths cannot be approximated by multipath fading channels with only a finite number of paths. The number of paths that are needed to approximate a multipath fading channel typically depends on the SNR and may grow to infinity as the SNR tends to infinity.
  • Keywords
    approximation theory; channel capacity; fading channels; multipath channels; capacity pre-loglog; capacity to loglog; channel capacity; frequency-selective fading; high SNR; noncoherent multipath fading channel; signal-to-noise ratio; Channel capacity; Delay; Fading; Limiting; Receivers; Signal to noise ratio; Transmitters; Channel capacity; channels with memory; fading channels; frequency-selective fading; high signal-to-noise ratio; multipath; noncoherent;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2080995
  • Filename
    5625630