Distributed energy-efficient power control algorithm of delay constrained traffic over multi fading channels

Shuai Wang, Zhijun Li, Shouxu Jiang

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

3 Scopus citations

Abstract

In this work, we focus on minimizing the overall network energy consumption problem under delay-constrained: N different packets from N time varying channels must be transmitted by a hard deadline of T slots. Each transmitter determines how much power to transmit with, during each time slot based on the current channel quality and the number of un transmitted bits, with the objective of minimizing overall network energy consumption. We transform the non-convex optimization problem into a geometric programming problem which has convex form and propose a distributed approximate optimization algorithm. Moreover, a lazy updating distributed algorithm is also presented for infrequent message passing. Experimental results show that the proposed distributed algorithm converges fast and the results of the distributed algorithm and results of centralized algorithm are very close.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 World Ubiquitous Science Congress
Subtitle of host publication2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing, DASC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages344-349
Number of pages6
ISBN (Electronic)9781479950799
DOIs
StatePublished - Nov 3 2014
Event12th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2014 - Dalian, Liaoning, China
Duration: Aug 24 2014Aug 27 2014

Publication series

NameProceedings - 2014 World Ubiquitous Science Congress: 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing, DASC 2014

Other

Other12th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2014
CountryChina
CityDalian, Liaoning
Period8/24/148/27/14

Keywords

  • Delay-constrained
  • Distributed algorithm
  • Energy-efficient

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