{"title":"多用户环境下自由空间光通信系统中继节点布置","authors":"Genfa Zhang, Jun Yan, Bingcheng Zhu, Weiping Zhu","doi":"10.1109/CITS.2016.7546409","DOIUrl":null,"url":null,"abstract":"In this paper, a relay node placement for free-space optical (FSO) communication system are proposed for different multi-user and communication service requirements. First, the relay problem is formulated as the constraint multi-objective optimization framework. The outage probability function of each user, the obstacle and feasible region are described as the objective function and the constraint function respectively. Then, the multi-objective optimization problem is transformed into a single-objective optimization problem, according to each different communication service requirement. At last, the optimal position of each relay node can be obtained using the linear weight parameter method. The simulation test are carried out under different practical environments.","PeriodicalId":340958,"journal":{"name":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A relay node placement for free space optical communication system under multi-user environments\",\"authors\":\"Genfa Zhang, Jun Yan, Bingcheng Zhu, Weiping Zhu\",\"doi\":\"10.1109/CITS.2016.7546409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a relay node placement for free-space optical (FSO) communication system are proposed for different multi-user and communication service requirements. First, the relay problem is formulated as the constraint multi-objective optimization framework. The outage probability function of each user, the obstacle and feasible region are described as the objective function and the constraint function respectively. Then, the multi-objective optimization problem is transformed into a single-objective optimization problem, according to each different communication service requirement. At last, the optimal position of each relay node can be obtained using the linear weight parameter method. The simulation test are carried out under different practical environments.\",\"PeriodicalId\":340958,\"journal\":{\"name\":\"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITS.2016.7546409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Computer, Information and Telecommunication Systems (CITS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITS.2016.7546409","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A relay node placement for free space optical communication system under multi-user environments
In this paper, a relay node placement for free-space optical (FSO) communication system are proposed for different multi-user and communication service requirements. First, the relay problem is formulated as the constraint multi-objective optimization framework. The outage probability function of each user, the obstacle and feasible region are described as the objective function and the constraint function respectively. Then, the multi-objective optimization problem is transformed into a single-objective optimization problem, according to each different communication service requirement. At last, the optimal position of each relay node can be obtained using the linear weight parameter method. The simulation test are carried out under different practical environments.