Energy Harvesting in Heterogeneous Networks with Hybrid Powered Communication Systems
In this paper, we investigate an energy efficient and energy harvesting (EH) system model in heterogeneous networks (HetNets) where all base stations (BSS) are equipped to harvest energy from renewable energy sources. We consider a hybrid power supply of green (renewable) and traditional micro-grid, such that traditional micro-grid is not exploited as long as the BSS can meet their power demands from harvested and stored green energy. Therefore, our goal is to minimize the networkwide energy consumption subject to users' certain quality of service and BSS' power consumption constraints. As a result of binary BS sleeping status and user-cell association variables, proposed is formulated as a binary linear programming (BLP) problem. A green communication algorithm based on binary particle swarm optimization is implemented to solve the problem with low complexity time.
A. Alsharoa et al., "Energy Harvesting in Heterogeneous Networks with Hybrid Powered Communication Systems," Proceedings of the 86th IEEE Vehicular Technology Conference (2017, Toronto, Canada), pp. 1-5, Institute of Electrical and Electronics Engineers (IEEE), Sep 2018.
The definitive version is available at https://doi.org/10.1109/VTCFall.2017.8288140
86th IEEE Vehicular Technology Conference, VTC Fall 2017 (2017: Sep. 24-27, Toronto, Canada)
Electrical and Computer Engineering
Keywords and Phrases
Binary particle swarm optimization; Energy harvesting; Sleeping strategy
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Sep 2018