Resource Allocation for NOMA based D2D System Using Genetic Algorithm with Continuous Pool
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sol | - |
dc.contributor.author | Kim, Jeehyeong | - |
dc.contributor.author | Cho, Sunghyun | - |
dc.date.accessioned | 2021-06-22T11:01:36Z | - |
dc.date.available | 2021-06-22T11:01:36Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 2162-1233 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4552 | - |
dc.description.abstract | Resource allocation is a very crucial part of non-orthogonal multiple access(NOMA)-based device-to-device(D2D) systems. It must be fast, effective and flexible because devices, especially vehicles in the system move at high speed. In this paper, we propose a resource allocation method for NOMA-based D2D communication systems based on a genetic algorithm(GA) approach. We have designed a novel concept of genetic algorithm that is suitable for resource allocation in NOMA-based D2D systems. The proposed method quickly maximizes the total throughput of paired devices including cellular user equipment(CUE) and moving vehicles(V). The proposed method is a faster and more reasonable way to converge than an exhaustive search method, which requires up to factorial time complexity. © 2019 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Resource Allocation for NOMA based D2D System Using Genetic Algorithm with Continuous Pool | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cho, Sunghyun | - |
dc.identifier.doi | 10.1109/ICTC46691.2019.8939884 | - |
dc.identifier.scopusid | 2-s2.0-85078289126 | - |
dc.identifier.wosid | 000524690200161 | - |
dc.identifier.bibliographicCitation | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp.705 - 707 | - |
dc.relation.isPartOf | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future | - |
dc.citation.title | ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future | - |
dc.citation.startPage | 705 | - |
dc.citation.endPage | 707 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Genetic algorithms | - |
dc.subject.keywordPlus | High Speed | - |
dc.subject.keywordPlus | Moving vehicles | - |
dc.subject.keywordPlus | Multiple access | - |
dc.subject.keywordPlus | Non-orthogonal | - |
dc.subject.keywordPlus | Novel concept | - |
dc.subject.keywordPlus | Search method | - |
dc.subject.keywordPlus | Time complexity | - |
dc.subject.keywordPlus | User equipments | - |
dc.subject.keywordPlus | Resource allocation | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/8939884 | - |
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