Probability density functions for SNIR in DS-CDMA

  • Authors:
  • David W. Matolak

  • Affiliations:
  • School of Electrical Engineering & Computer Science, Ohio University, Athens, OH

  • Venue:
  • IEEE Transactions on Communications
  • Year:
  • 2009

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Abstract

Analytical expressions for the probability density function of block-wise signal-to-noise-plus-interference ratio for both synchronous and asynchronous direct-sequence spread spectrum code-division multiple access systems are developed, for equal average energy signals on the Gaussian and Rayleigh flat fading channels. Using the standard Gaussian approximation for multi-user interference, accurate density approximations are obtained, which agree very well with computer simulation results.