Energy-efficient 5G networks using joint energy harvesting and scheduling
Energy-efficient 5G networks using joint energy harvesting and scheduling
This chapter considers a downlink energy harvesting heterogeneous networks (EHHetNet) system where each base station (BS) is equipped to harvest from wireless and renewable sources. It presents the EH HetNets system model and gives the problem formulation based on the knowledge level of the RE generation, aiming to minimize the networks energy consumption during the B time slots. The formulated binary linear programming (BLP) optimization problems are considered as NP-hard problem due to the existence of the binary variables; hence, propose a metaheuristic algorithm, namely, binary particle swarm optimization (BPSO). The performances of the proposed BPSO algorithm is compared to those of the well-know genetic algorithm (GA). The chapter provides the selected numerical results to evaluate the performance of the EH HetNets systems. Selected BSs transmit their messages periodically every Tbsec.
5G network, Base station, Binary linear programming, Binary particle swarm optimization, Energy harvesting heterogeneous networks, Metaheuristic algorithm, Networks energy consumption
427-451
Alsharoa, Ahmad
7231f65e-2d21-49e0-95ac-5e3593a9ab8b
Celik, Abdulkadir
f8e72266-763c-4849-b38e-2ea2f50a69d0
Kamal, Ahmed E.
b7e85bb0-fbc5-4dcd-80d6-011c900201dc
1 January 2018
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.
(2018)
Energy-efficient 5G networks using joint energy harvesting and scheduling.
In,
5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management.
Wiley, .
(doi:10.1002/9781119333142.ch11).
Record type:
Book Section
Abstract
This chapter considers a downlink energy harvesting heterogeneous networks (EHHetNet) system where each base station (BS) is equipped to harvest from wireless and renewable sources. It presents the EH HetNets system model and gives the problem formulation based on the knowledge level of the RE generation, aiming to minimize the networks energy consumption during the B time slots. The formulated binary linear programming (BLP) optimization problems are considered as NP-hard problem due to the existence of the binary variables; hence, propose a metaheuristic algorithm, namely, binary particle swarm optimization (BPSO). The performances of the proposed BPSO algorithm is compared to those of the well-know genetic algorithm (GA). The chapter provides the selected numerical results to evaluate the performance of the EH HetNets systems. Selected BSs transmit their messages periodically every Tbsec.
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Published date: 1 January 2018
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© 2018 by The Institute of Electrical and Electronics Engineers, Inc.
Keywords:
5G network, Base station, Binary linear programming, Binary particle swarm optimization, Energy harvesting heterogeneous networks, Metaheuristic algorithm, Networks energy consumption
Identifiers
Local EPrints ID: 504839
URI: http://eprints.soton.ac.uk/id/eprint/504839
PURE UUID: 24651df6-0426-470b-adcb-09951614d200
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Date deposited: 19 Sep 2025 16:35
Last modified: 20 Sep 2025 02:30
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Contributors
Author:
Ahmad Alsharoa
Author:
Abdulkadir Celik
Author:
Ahmed E. Kamal
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