DocumentCode :
2974913
Title :
Threshold-based power allocation algorithms for down-link switched-based parallel scheduling
Author :
Nam, Sung Sik ; Yang, Hong-Chuan ; Alouini, Mohamed-Slim ; Qaraqe, Khalid A.
Author_Institution :
Texas A&M Univ., College Station
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
1
Lastpage :
5
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.
Keywords :
parallel processing; scheduling; average bit error rate; average spectral efficiency; downlink switched-based parallel scheduling; signal-to-noise ratio; threshold-based power allocation algorithms; Bit error rate; Computer simulation; Interference; Multiaccess communication; Performance loss; Power system modeling; Processor scheduling; Scheduling algorithm; Signal to noise ratio; Time division multiple access;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
Type :
conf
DOI :
10.1109/ICICS.2007.4449746
Filename :
4449746
Link To Document :
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