{"title":"基于中继节点位置和功率的粒子群优化小区规划","authors":"Rana M. Mokhtar, H. Abdel-Atty, K. Mahmoud","doi":"10.1109/JAC-ECC48896.2019.9051091","DOIUrl":null,"url":null,"abstract":"The continuous research to overcome the obstacles of cellular networks has motivated us to focus in eliminating the coverage problems that users experience at the cell edge with a cost-effective solution. In this paper, we initially propose a scenario of the cell plan through the relay nodes. Thus, two stages of the relay nodes are deployed; edge relay nodes and the supporting intermediate relay nodes. Furthermore, to increase the efficiency of the cell, we applied an optimization algorithm to the said scenario to reach an optimum plan through a particle swarm optimization algorithm (PSO). The evaluation of simulation results outweighed the PSO algorithm. Hence, the optimum plan which provides the best coverage with a reasonable cost is introduced herein.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cell Planning based on Relay-Nodes Positions and Power using Particle Swarm Optimization\",\"authors\":\"Rana M. Mokhtar, H. Abdel-Atty, K. Mahmoud\",\"doi\":\"10.1109/JAC-ECC48896.2019.9051091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The continuous research to overcome the obstacles of cellular networks has motivated us to focus in eliminating the coverage problems that users experience at the cell edge with a cost-effective solution. In this paper, we initially propose a scenario of the cell plan through the relay nodes. Thus, two stages of the relay nodes are deployed; edge relay nodes and the supporting intermediate relay nodes. Furthermore, to increase the efficiency of the cell, we applied an optimization algorithm to the said scenario to reach an optimum plan through a particle swarm optimization algorithm (PSO). The evaluation of simulation results outweighed the PSO algorithm. Hence, the optimum plan which provides the best coverage with a reasonable cost is introduced herein.\",\"PeriodicalId\":351812,\"journal\":{\"name\":\"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JAC-ECC48896.2019.9051091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JAC-ECC48896.2019.9051091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cell Planning based on Relay-Nodes Positions and Power using Particle Swarm Optimization
The continuous research to overcome the obstacles of cellular networks has motivated us to focus in eliminating the coverage problems that users experience at the cell edge with a cost-effective solution. In this paper, we initially propose a scenario of the cell plan through the relay nodes. Thus, two stages of the relay nodes are deployed; edge relay nodes and the supporting intermediate relay nodes. Furthermore, to increase the efficiency of the cell, we applied an optimization algorithm to the said scenario to reach an optimum plan through a particle swarm optimization algorithm (PSO). The evaluation of simulation results outweighed the PSO algorithm. Hence, the optimum plan which provides the best coverage with a reasonable cost is introduced herein.