Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최승원 | - |
dc.date.accessioned | 2019-11-30T17:44:07Z | - |
dc.date.available | 2019-11-30T17:44:07Z | - |
dc.date.issued | 2017-09 | - |
dc.identifier.citation | (사)디지털산업정보학회 논문지, v. 13, no. 3, page. 65-73 | en_US |
dc.identifier.issn | 1738-6667 | - |
dc.identifier.uri | http://koreascience.or.kr/article/JAKO201730475988639.page | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/115615 | - |
dc.description.abstract | The fifth generation(5G) of wireless networks will connect not only smart phone but also unimaginable things. Therefore, 5G cellular network is facing the soaring traffic demand of numerous user devices. To solve this problem, a huge amount of 5G base stations will need to be installed. The base station positioning problem is an NP-hard problem that does not know how long it will take to solve the problem. Because, it can not find an answer other than to check the number of all cases. In this paper, to solve the NP hard problem, we compare the tabu search and the genetic algorithm using real maps for optimal cell planning. We also perform Monte Carlo simulations to study the performance of the Tabu search and Genetic algorithm for 5G cell planning. As a results, Tabu search required 2.95 times less computation time than Genetic algorithm and showed accuracy difference of 2dBm. | en_US |
dc.description.sponsorship | 이 논문은 2017년도 정부(과학기술정보통신부)의 재원으로 정보통신기술진흥센터의 지원을 받아 수행된 연구임 (No. 2017-0-00723, Reconfigurable Radio System 기술을 적용한 소프트웨어 기반 서비스 지향 통합 기지국 플렛폼 개발, 창조씨앗형 R&D사업) | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | (사)디지털산업정보학회 | en_US |
dc.subject | 5G | en_US |
dc.subject | Cell Planning | en_US |
dc.subject | Meta-heuristic | en_US |
dc.subject | Tabu Serach | en_US |
dc.subject | Genetic Algorithm | en_US |
dc.title | 5G 이동통신 셀 설계를 위한 타부 탐색과 유전 알고리즘의 성능 | en_US |
dc.title.alternative | Performance comparison of Tabu search and genetic algorithm for cell planning of5G cellular network | en_US |
dc.title.alternative | Performance comparison of Tabu search and genetic algorithm for cell planning of5G cellular network | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 13 | - |
dc.identifier.doi | 10.17662/ksdim.2017.13.3.065 | - |
dc.relation.page | 65-73 | - |
dc.relation.journal | (사)디지털산업정보학회 논문지 | - |
dc.contributor.googleauthor | 권오현 | - |
dc.contributor.googleauthor | 안흥섭 | - |
dc.contributor.googleauthor | 최승원 | - |
dc.contributor.googleauthor | Kwon, Ohyun | - |
dc.contributor.googleauthor | Ahn, Heungseop | - |
dc.contributor.googleauthor | Choi, Seungwon | - |
dc.relation.code | 2017019825 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | choiseungwon | - |
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