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

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2018 IEEE 87th Vehicular Technology Conference, VTC Spring 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1-5
頁數5
ISBN(電子)9781538663554
DOIs
出版狀態Published - 2018 七月 20
事件87th IEEE Vehicular Technology Conference, VTC Spring 2018 - Porto, Portugal
持續時間: 2018 六月 32018 六月 6

出版系列

名字IEEE Vehicular Technology Conference
2018-June
ISSN(列印)1550-2252

Conference

Conference87th IEEE Vehicular Technology Conference, VTC Spring 2018
國家/地區Portugal
城市Porto
期間18-06-0318-06-06

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電氣與電子工程
  • 應用數學

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