5G 이동통신 셀 설계를 위한 타부 탐색과 유전 알고리즘의 성능Performance comparison of Tabu search and genetic algorithm for cell planning of5G cellular network
- Other Titles
- Performance comparison of Tabu search and genetic algorithm for cell planning of5G cellular network
- Authors
- 권오현; 안흥섭; 최승원
- Issue Date
- Sep-2017
- Publisher
- (사)디지털산업정보학회
- Keywords
- 5G; Cell Planning; Meta-heuristic; Tabu Serach; Genetic Algorithm
- Citation
- (사)디지털산업정보학회 논문지, v.13, no.3, pp.65 - 73
- Indexed
- KCI
OTHER
- Journal Title
- (사)디지털산업정보학회 논문지
- Volume
- 13
- Number
- 3
- Start Page
- 65
- End Page
- 73
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/3489
- DOI
- 10.17662/ksdim.2017.13.3.065
- ISSN
- 1738-6667
- 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.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.