• DocumentCode
    795848
  • Title

    Capacity of wireless optical communications

  • Author

    Haas, Shane M. ; Shapiro, Jeffrey H.

  • Author_Institution
    AlphaSimplex Group, Cambridge, MA, USA
  • Volume
    21
  • Issue
    8
  • fYear
    2003
  • Firstpage
    1346
  • Lastpage
    1357
  • Abstract
    We consider the ergodic capacity and capacity-versus-outage probability of direct-detection optical communication through a turbulent atmosphere using multiple transmit and receive apertures. We assume shot-noise-limited operation in which detector outputs are doubly stochastic Poisson processes whose rates are proportional to the sum of the transmitted powers, scaled by lognormal random fades, plus a background noise. In the high and low signal-to-background ratio regimes, we show that the ergodic capacity of this fading channel equals or exceeds that for a channel with deterministic path gains. Furthermore, knowledge of these path gains is not necessary to achieve capacity when the signal-to-background ratio is high. In the low signal-to-background ratio regime, path-gain knowledge provides minimal capacity improvement when using a moderate number of transmit apertures. We also develop expressions for the capacity-versus-outage probability in the high and low signal-to-background ratio regimes, by means of a moment-matching approximation to the distribution for the sum of lognormal random variables. Monte Carlo simulations show that these capacity-versus-outage approximations are quite accurate for moderate numbers of apertures.
  • Keywords
    approximation theory; channel capacity; diversity reception; fading channels; log normal distribution; optical communication; optical links; optical noise; stochastic processes; capacity-versus-outage probability; direct-detection optical communication; ergodic capacity; fading channel; laser communication systems; lognormal random fades; moment-matching approximation; receiver diversity; shot-noise; signal-to-background ratio; signal-to-background-noise ratio; stochastic Poisson processes; transmit diversity; turbulent atmosphere; wireless optical communications; Apertures; Atmosphere; Background noise; Capacity planning; Detectors; Fading; Optical fiber communication; Random variables; Stochastic resonance; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2003.816618
  • Filename
    1234427