Title

Energy Harvesting in Heterogeneous Networks with Hybrid Powered Communication Systems

Abstract

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.

Meeting Name

86th IEEE Vehicular Technology Conference, VTC Fall 2017 (2017: Sep. 24-27, Toronto, Canada)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Binary particle swarm optimization; Energy harvesting; Sleeping strategy

International Standard Book Number (ISBN)

978-150905935-5

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Sep 2018

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