A renewable energy cooperation scheme for OFDM systems using evolutionary many-objective optimization algorithm

Qiang Wang, Hai Lin Liu, Yiu Ming CHEUNG

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Energy harvesting has drawn more and more attention because of the requirement of the green communication. It is well known that energy harvesting is one of the most important technologies of the green communication. Due to the intermittency of the renewable energy and the different space of the Base stations (BSS), the renewable energy cooperation is necessary to improve the renewable energy efficiency. In this paper, we propose a renewable energy cooperation scheme among different BSS, in which one BS can collect (share) energy from (to) another BSS. It is obvious that the energy cooperation efficiency will be improved when the number of the BSS that join the cooperation scheme is large. In this paper, our objective is to minimize the networks delay of each BS. To minimize the networks delay, it is reasonable that each BS hopes to transfer its energy to another BSS as little as possible, and collects energy from another BSS as much as possible. Thus, the objective of each BS are conflicting. We formulate the joint optimization problem into a many-objective mixed integer optimization problem which is difficult to optimize. We adopt the evolutionary many-objective algorithm based on decomposition and reference distance to optimize the problem. Simulation results show that the effectiveness of the algorithm.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Computational Intelligence and Security, CIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages194-197
Number of pages4
ISBN (Electronic)9781509048403
DOIs
Publication statusPublished - 17 Jan 2017
Event12th International Conference on Computational Intelligence and Security, CIS 2016 - Wuxi, Jiangsu, China
Duration: 16 Dec 201619 Dec 2016

Publication series

NameProceedings - 12th International Conference on Computational Intelligence and Security, CIS 2016

Conference

Conference12th International Conference on Computational Intelligence and Security, CIS 2016
Country/TerritoryChina
CityWuxi, Jiangsu
Period16/12/1619/12/16

Scopus Subject Areas

  • Computer Science Applications
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computational Mathematics
  • Control and Optimization

User-Defined Keywords

  • Energy cooperation
  • Green communication
  • Many objective optimization problem
  • Resource allocation

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