Energy and spectral efficiency tradeoff in NOMA: Multi-objective evolutionary approaches

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dc.authorid0000-0001-9474-7372
dc.contributor.authorÇetinkaya, Şinasi
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2020-12-22T09:49:00Z
dc.date.available2020-12-22T09:49:00Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractNon-orthogonal multiple access (NOMA) deployment in future wireless networks has been recently considered a promising radio access technology to enhance spectral efficiency (SE). However, gain in SE comes always with the cost of energy efficiency (EE). In this paper, we investigate the SE and EE tradeoff in downlink NOMA with the consideration of quality of service (QoS) requirements based on three population-based multi-objective evolutionary algorithms (MOEAs): multi-objective particle swarm optimization (MOPSO), non-dominated sorting genetic algorithm-II (NSGA-II) and strength Pareto evolutionary algorithm-2 (SPEA2). The tradeoff is optimized and Pareto optimal solutions are obtained through MOEAs. The effectiveness of the algorithms is evaluated based on the hypervolume metric and the capability of solving multi-objective optimization problems. Simulation results reveal that SPEA2 outperforms NSGA-II and MOPSO. Furthermore, NSGA-II is the loser among all algorithms in terms of finding Pareto optimal results.
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationÇetinkaya, Ş. ve Arslan, H. (2020). Energy and spectral efficiency tradeoff in NOMA: Multi-objective evolutionary approaches. IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond. Convention Centre Dublin, Ireland, 7-11 June 2020. https://dx.doi.org/10.1109/ICCWorkshops49005.2020.9145261
dc.identifier.doi10.1109/ICCWorkshops49005.2020.9145261
dc.identifier.isbn9781728174402
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1109/ICCWorkshops49005.2020.9145261
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6129
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyonden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectEnergy Efficiency
dc.subjectMulti-Objective Evolutionary Algorithms
dc.subjectNon-Orthogonal Multiple Access (NOMA)
dc.subjectPower Allocation
dc.subjectSpectral Efficiency
dc.titleEnergy and spectral efficiency tradeoff in NOMA: Multi-objective evolutionary approaches
dc.typeConference Object

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