Random power control for uncorrelated rayleigh fading channels

Mohammed Elmusrati*, Noser Tarhuni, Riku Jäntti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

When the channel measurement update rate is very slow compared to the channel fluctuations, the performance of conventional power control algorithms is greatly reduced. In this paper we introduce novel method to update the transmit power in such extreme situations. We propose to use random power allocation with certain distribution function and then using the channel measurements to update the statistics of this random power rather the power value itself. The truncated inverted exponential distribution is one candidate for the power distribution which is used in this paper. This distribution has one parameter which can be easily updated according to the channel quality. The signalto-interference and noise ratio (SINR) is used as an indicator for the channel quality. The probability of outage when using the proposed power allocation is also given in mathematical form. Simulations show that, one may improve the average SINR when using the proposed algorithm compared to the conventional distributed power control algorithm.

Original languageEnglish
Title of host publicationICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications
Pages360-363
Number of pages4
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007 - Dubai, United Arab Emirates
Duration: Nov 14 2007Nov 27 2007

Publication series

NameICSPC 2007 Proceedings - 2007 IEEE International Conference on Signal Processing and Communications

Other

Other2007 IEEE International Conference on Signal Processing and Communications, ICSPC 2007
Country/TerritoryUnited Arab Emirates
CityDubai
Period11/14/0711/27/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Communication

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