Threshold-based power allocation algorithms for down-link switched-based parallel scheduling

Sik Nam Sung, Hong Chuan Yang, Mohamed Slim Alouini, Khalid A. Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose threshold-based power allocation algorithms for a recently proposed down-link switched based parallel scheduling (SBS) scheme and we present their performance results via computer simulations. As its name indicates it, the system re-allocates the extracted excess signal to noise ratio (SNR) from some acceptable users to unacceptable users among the scheduled users. After the power allocation process, the unacceptable users can reach acceptable SNRs and as such the number of effective acceptable users with an acceptable SNR threshold among the scheduled users is increased without any additional down-link transmit power. Some selected numerical results, show that the proposed power allocation algorithms offer a certain improvement in average spectral efficiency (ASE) and an increase in the average number of effective acceptable users. Although the average bit error rate (BER) performance degrades especially when the average SNR is close to the SNR threshold, this average BER performance still meets the average BER requirement.

Original languageEnglish (US)
Title of host publication2007 6th International Conference on Information, Communications and Signal Processing, ICICS
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 6th International Conference on Information, Communications and Signal Processing, ICICS - Singapore, Singapore
Duration: Dec 10 2007Dec 13 2007

Publication series

Name2007 6th International Conference on Information, Communications and Signal Processing, ICICS

Other

Other2007 6th International Conference on Information, Communications and Signal Processing, ICICS
Country/TerritorySingapore
CitySingapore
Period12/10/0712/13/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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