Modeling and Optimization of Renewable-Energy Sharing among Base Stations as a Minimum-Cost-Maximum-Flow Problem

Doris Benda, Xiaoli Chu, Sumei Sun, Tony Q.S. Quek, Alastair Buckley

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

3 Citations (Scopus)

Abstract

Energy sharing among energy harvesting base sta-tions (BSs) has the potential to improve the utilization of the harvested renewable energy. However, not much work has been done to optimize the power sharing among BSs while considering the topology of the cellular network and the distance-dependent power loss (DDPL) in the transmission lines. In this paper, we propose two power sharing optimization algorithms: the min-cost-max-flow (MCMF) algorithm and the max-flow (MF) algorithm. The MCMF algorithm optimizes the power sharing considering the DDPL, and therefore shares the power over much shorter distances whereas the MF algorithm optimizes the power sharing without considering the DDPL. Our numerical results show that for cellular networks with moderate DDPL value, the MCMF saves up to 10%, 22%, and 30% more power than the MF algorithm for 5, 10, and 15 BSs uniformly distributed in a square of unit length where every pair of BSs can share power, respectively. In contrast, for cellular networks with very high or very low DDPL value, the performance difference between the two algorithms is negligible. In addition, the performance gain of MCMF over MF increases with the BS density.

Original languageEnglish
Title of host publication2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538663554
DOIs
Publication statusPublished - 2018 Jul 20
Event87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
Duration: 2018 Jun 32018 Jun 6

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-June
ISSN (Print)1550-2252

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
Country/TerritoryPortugal
CityPorto
Period18-06-0318-06-06

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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