Joint optimization of device to device resource and power allocation based on genetic algorithm
| dc.authorid | 0000-0001-9474-7372 | |
| dc.contributor.author | Takshi, Hengameh | |
| dc.contributor.author | Doğan, Gülüstan | |
| dc.contributor.author | Arslan, Hüseyin | |
| dc.date.accessioned | 10.07.201910:49:13 | |
| dc.date.accessioned | 2019-07-10T19:56:15Z | |
| dc.date.available | 10.07.201910:49:13 | |
| dc.date.available | 2019-07-10T19:56:15Z | |
| dc.date.issued | 2018 | |
| dc.department | İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | |
| dc.description | WOS: 000431636000001 | |
| dc.description.abstract | Device-to-device (D2D) communication plays an important role in the next generation of communication systems. Enabling D2D communication decreases latency and expands the coverage of a cell in cellular networks. In addition, D2D underlaying cellular users benefit from high spectral efficiency. However, it creates interference to cellular communications. In this paper, we propose a genetic algorithm-based method to minimize the interference and maximize the spectral efficiency. One of the advantages of genetic algorithm is that it escapes from local maximums and evolves toward global maximum by searching different parts of search space simultaneously. Since D2D underlay cellular network degrades the signal-to-interference plus noise ratio (SINR), a minimum SINR is considered for cellular users. Numerical evaluations demonstrate the superior performance of the proposed technique in terms of spectral efficiency and interference mitigation. | |
| dc.identifier.citation | Takshi, H., Doğan, G. ve Arslan, H. (2018). Joint optimization of device to device resource and power allocation based on genetic algorithm. IEEE Access, 6, 21173-21183. https://dx.doi.org/10.1109/ACCESS.2018.2826048 | |
| dc.identifier.doi | 10.1109/ACCESS.2018.2826048 | |
| dc.identifier.endpage | 21183 | |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 21173 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/ACCESS.2018.2826048 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/2638 | |
| dc.identifier.volume | 6 | |
| dc.identifier.wosquality | Q2 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | |
| dc.relation.ispartof | IEEE Access | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Channel Prediction | |
| dc.subject | Device to Device (D2D) Communication | |
| dc.subject | Genetic Algorithm | |
| dc.subject | Spectral Efficiency | |
| dc.subject | Optimization | |
| dc.title | Joint optimization of device to device resource and power allocation based on genetic algorithm | |
| dc.type | Article |
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