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dc.contributor.authorAlsharoa, Ahmad
dc.contributor.authorCelik, Abdulkadir
dc.contributor.authorKamal, Ahmed E.
dc.date.accessioned2019-02-27T09:47:27Z
dc.date.available2019-02-27T09:47:27Z
dc.date.issued2018-09-14
dc.identifier.citationAlsharoa A, Celik A, Kamal AE (2018) Energy-Efficient 5G Networks Using Joint Energy Harvesting and Scheduling. 5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management: 427–452. Available: http://dx.doi.org/10.1002/9781119333142.ch11.
dc.identifier.doi10.1002/9781119333142.ch11
dc.identifier.urihttp://hdl.handle.net/10754/631251
dc.description.abstractThis 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.
dc.publisherWiley
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/abs/10.1002/9781119333142.ch11
dc.subject5G network
dc.subjectBase station
dc.subjectBinary linear programming
dc.subjectBinary particle swarm optimization
dc.subjectEnergy harvesting heterogeneous networks
dc.subjectMetaheuristic algorithm
dc.subjectNetworks energy consumption
dc.titleEnergy-Efficient 5G Networks Using Joint Energy Harvesting and Scheduling
dc.typeBook Chapter
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal5G Networks: Fundamental Requirements, Enabling Technologies, and Operations Management
dc.contributor.institutionElectrical and Computer Engineering department; Iowa State University (ISU); Ames IA USA
kaust.personCelik, Abdulkadir


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