Intelligent battery management for cellular networks with hybrid energy supplies

Xilong Liu, Tao Han, Nirwan Ansari

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

2 Scopus citations

Abstract

Green communications has received much attention in recent years. In cellular networks, base stations (BSs) account for more than 50 percent of the energy consumption. Reducing energy consumption of BSs is essential to realize green cellular networks. Utilizing green energy to power BSs is a promising way to reduce the on-grid energy consumption. Owing to the dynamics of both mobile traffic loads and green energy, the mismatch between the energy demands and green energy generation in a BS results in inefficient green energy utilization. Managing the battery in BSs can control the green energy usage in individual time slots, thus alleviating the inefficiency caused by the mismatch. In this paper, we propose an intelligent battery management mechanism to optimize the green energy utilization in BSs based on the Markov Decision Process (MDP). A large number of states in the Markov chain are required to model the dynamics of solar radiation and BS workload demands. Thus, the original MDP optimal policy iteration method incurs a high computational complexity. Therefore, we propose some heuristics to approximate the optimal energy dispatching strategy with low computational complexity, and validate the performance of the proposed algorithm through extensive simulations.

Original languageEnglish (US)
Title of host publication2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398145
DOIs
StatePublished - Sep 12 2016
Event2016 IEEE Wireless Communications and Networking Conference, WCNC 2016 - Doha, Qatar
Duration: Apr 3 2016Apr 7 2016

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2016-September
ISSN (Print)1525-3511

Other

Other2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
CountryQatar
CityDoha
Period4/3/164/7/16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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