Resource Allocation for Discrete Rate Multi-Cell Energy Constrained Communication Networks
dc.authorscopusid | 59157821100 | |
dc.authorscopusid | 57212084418 | |
dc.authorscopusid | 36844802900 | |
dc.authorscopusid | 9133370600 | |
dc.authorwosid | Salik, Elif/AAD-5661-2021 | |
dc.authorwosid | Sadi, Yalcin/AAA-8692-2019 | |
dc.contributor.author | Şadi, Yalçın | |
dc.contributor.author | Iqbal, M.S. | |
dc.contributor.author | Salik, E.D. | |
dc.contributor.author | Sadi, Y. | |
dc.contributor.author | Coleri, S. | |
dc.date.accessioned | 2025-01-15T21:37:53Z | |
dc.date.available | 2025-01-15T21:37:53Z | |
dc.date.issued | 2025 | |
dc.department | Kadir Has University | en_US |
dc.department-temp | [Iqbal M.S.] Department of Electrical Engineering, National University of Technology, Islamabad, Pakistan; [Salik E.D.] Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey; [Sadi Y.] Department of Electrical Engineering, Kadir Has University, Istanbul, Turkey; [Coleri S.] Department of Electrical and Electronics Engineering, Koc University, Istanbul, Turkey | en_US |
dc.description.abstract | Radio frequency energy harvesting is a promising technique to extend the lifetime of wireless powered communication networks (WPCNs) due to its controllability. In this paper, we consider a novel discrete rate based multi-cell WPCN, where multiple hybrid access points (HAPs) transmit energy to the users and users harvest this energy for the information transmission by using a transmission rate selected from a finite set of discrete rate levels. We formulate an optimization problem to minimize the schedule length through optimal rate allocation and scheduling of the users while considering the traffic demand, energy causality and interference constraints. The problem is mixed integer non-linear programming problem. Initially, we investigate the problem for non-simultaneous and simultaneous transmission considering both predetermined and variable transmission rates. We propose optimal and heuristic algorithms for all these categories by using optimality analysis, Perron-Frobenius conditions and iterative improvement of the total schedule length. Then, for the general problem, we propose heuristic algorithm based on the maximization of the number of concurrently transmitting users within each time slot by considering the maximum allowed interference level of the users. Via extensive simulations, we demonstrate significant improvement in schedule length through rate selection and proper scheduling of concurrently transmitting users. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. | en_US |
dc.description.sponsorship | Ford Otomotiv Sanayi; 2247-A National Leaders Research Grant and Ford Otosan; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (117E241, 2247-A, 121c314); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK | en_US |
dc.description.woscitationindex | Science Citation Index Expanded | |
dc.identifier.citationcount | 0 | |
dc.identifier.doi | 10.1007/s11276-024-03879-y | |
dc.identifier.endpage | 2315 | en_US |
dc.identifier.issn | 1022-0038 | |
dc.identifier.issue | 3 | en_US |
dc.identifier.scopus | 2-s2.0-105001076499 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 2295 | en_US |
dc.identifier.uri | https://doi.org/10.1007/s11276-024-03879-y | |
dc.identifier.volume | 31 | en_US |
dc.identifier.wos | WOS:001381641600001 | |
dc.identifier.wosquality | Q2 | |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Wireless Networks | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 0 | |
dc.subject | Delay Minimization | en_US |
dc.subject | Energy Harvesting | en_US |
dc.subject | Multi-Cell Networks | en_US |
dc.subject | Scheduling | en_US |
dc.subject | Wireless Powered Communication Networks | en_US |
dc.title | Resource Allocation for Discrete Rate Multi-Cell Energy Constrained Communication Networks | en_US |
dc.type | Article | en_US |
dc.wos.citedbyCount | 0 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 48050d4d-210f-4711-80cb-9a5efcde0b43 | |
relation.isAuthorOfPublication.latestForDiscovery | 48050d4d-210f-4711-80cb-9a5efcde0b43 |