A novel pilot power allocation method based on energy efficiency maximization in massive MIMO systems for future generation wireless technologies

dc.authoridKulaç, Selman/0000-0002-7737-1569
dc.contributor.authorDikmen, Osman
dc.contributor.authorPakyürek, Muhammet
dc.contributor.authorKulaç, Selman
dc.date.accessioned2023-07-26T11:57:22Z
dc.date.available2023-07-26T11:57:22Z
dc.date.issued2023
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this paper, we propose a novel pilot power allocation method that focuses on the maximization of the energy efficiency. The core algorithm of this method, which is a dynamic approach that takes into account signal-to-interference-plus-noise ratio (SINR), is called pilot power allocation polarizing SINRs (PS-PPA). The aim is to maximize the energy efficiency of the system along with the proposed pilot power allocation method using this algorithm in a multi-cell multi-user massive multiple-input multiple-output (MIMO) system. The algorithm determines difference between average SINR per cell and SINRs of users individually, during the scan of the whole cells sequentially. Therefore, it always updates the allocation for the latest SINR of users in power updates to improve the energy efficiency of the system. In power updates, PS-PPA calculates weights using an exponential function of the SINR difference. This weighting function is defined for each real number, so it can always result in a specific number. In addition, the weighting function is performed in the [ rho min,rho max$$ {\rho}_{min},{\rho}_{max} $$] range where the power values are predefined. The energy efficiency of the system is measured in a number of simulations by calculating the average SINR per cell. Furthermore, all these performance results are obtained for equal pilot power allocation (EPPA) and water-filling pilot power allocation (WF-PPA) schemes. As a result of simulation results, proposed pilot power allocation method has proven to be more superior than EPPA and WF-PPA methods.en_US
dc.identifier.doi10.1002/dac.5384
dc.identifier.issn1074-5351
dc.identifier.issn1099-1131
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85141351108en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1002/dac.5384
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13150
dc.identifier.volume36en_US
dc.identifier.wosWOS:000876803100001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDikmen, Osman
dc.institutionauthorPakyürek, Muhammet
dc.institutionauthorKulaç, Selman
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal of Communication Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectEnergy Efficiency Maximization; Massive Mimo; Optimization; Pilot Power Allocationen_US
dc.subjectAntenna Selection; Optimization; Scheme; Designen_US
dc.titleA novel pilot power allocation method based on energy efficiency maximization in massive MIMO systems for future generation wireless technologiesen_US
dc.typeArticleen_US

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