Energy harvesting in heterogeneous networks with hybrid powered communication systems
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.
Binary particle swarm optimization, Energy harvesting, Sleeping strategy
1-5
Alsharoa, Ahmad
7231f65e-2d21-49e0-95ac-5e3593a9ab8b
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Kamal, Ahmed E.
b7e85bb0-fbc5-4dcd-80d6-011c900201dc
2 July 2017
Alsharoa, Ahmad
7231f65e-2d21-49e0-95ac-5e3593a9ab8b
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Kamal, Ahmed E.
b7e85bb0-fbc5-4dcd-80d6-011c900201dc
Alsharoa, Ahmad, Celik, Abdulkadir and Kamal, Ahmed E.
(2017)
Energy harvesting in heterogeneous networks with hybrid powered communication systems.
In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings.
vol. 2017-September,
IEEE.
.
(doi:10.1109/VTCFall.2017.8288140).
Record type:
Conference or Workshop Item
(Paper)
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.
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Published date: 2 July 2017
Additional Information:
Publisher Copyright:
© 2017 IEEE.
Venue - Dates:
86th IEEE Vehicular Technology Conference, VTC Fall 2017, , Toronto, Canada, 2017-09-24 - 2017-09-27
Keywords:
Binary particle swarm optimization, Energy harvesting, Sleeping strategy
Identifiers
Local EPrints ID: 504462
URI: http://eprints.soton.ac.uk/id/eprint/504462
ISSN: 1550-2252
PURE UUID: e2a6324b-785a-4164-96dd-b35eafae966e
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Date deposited: 09 Sep 2025 19:50
Last modified: 13 Sep 2025 02:40
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Contributors
Author:
Ahmad Alsharoa
Author:
Abdulkadir Celik
Author:
Ahmed E. Kamal
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