Xu-dong Zhong, Yuan-zhi He, Hao Yin, Jingchao Wang, Zhou-quan Du
{"title":"基于延迟优先级的多波束卫星下行链路联合功率时隙分配","authors":"Xu-dong Zhong, Yuan-zhi He, Hao Yin, Jingchao Wang, Zhou-quan Du","doi":"10.1109/PIC.2017.8359578","DOIUrl":null,"url":null,"abstract":"This paper investigates the joint power and timeslot allocation for multi-beam satellite downlinks. Users with real-time and non-real-time services under different channel conditions are considered to be satisfied with limited power and timeslots. To guarantee the fairness among different users, the delay priority is introduced for optimization, while the delay constrain is used to avoid delay deterioration of real-time users. Based on this, a joint power and timeslot allocation problem is formulated to maximize the weighted sum throughput. With convex optimization theory, the optimal power and timeslot allocation is derived, and a joint allocation algorithm based on subgradient method is proposed to determine the optimal solutions. Simulation results show that the proposed algorithm realize the trade-off between throughput and loss probability with delay fairness guarantee.","PeriodicalId":370588,"journal":{"name":"2017 International Conference on Progress in Informatics and Computing (PIC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Joint power and timeslot allocation based on delay priority for multi-beam satellite downlinks\",\"authors\":\"Xu-dong Zhong, Yuan-zhi He, Hao Yin, Jingchao Wang, Zhou-quan Du\",\"doi\":\"10.1109/PIC.2017.8359578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the joint power and timeslot allocation for multi-beam satellite downlinks. Users with real-time and non-real-time services under different channel conditions are considered to be satisfied with limited power and timeslots. To guarantee the fairness among different users, the delay priority is introduced for optimization, while the delay constrain is used to avoid delay deterioration of real-time users. Based on this, a joint power and timeslot allocation problem is formulated to maximize the weighted sum throughput. With convex optimization theory, the optimal power and timeslot allocation is derived, and a joint allocation algorithm based on subgradient method is proposed to determine the optimal solutions. Simulation results show that the proposed algorithm realize the trade-off between throughput and loss probability with delay fairness guarantee.\",\"PeriodicalId\":370588,\"journal\":{\"name\":\"2017 International Conference on Progress in Informatics and Computing (PIC)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Progress in Informatics and Computing (PIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIC.2017.8359578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Progress in Informatics and Computing (PIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIC.2017.8359578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Joint power and timeslot allocation based on delay priority for multi-beam satellite downlinks
This paper investigates the joint power and timeslot allocation for multi-beam satellite downlinks. Users with real-time and non-real-time services under different channel conditions are considered to be satisfied with limited power and timeslots. To guarantee the fairness among different users, the delay priority is introduced for optimization, while the delay constrain is used to avoid delay deterioration of real-time users. Based on this, a joint power and timeslot allocation problem is formulated to maximize the weighted sum throughput. With convex optimization theory, the optimal power and timeslot allocation is derived, and a joint allocation algorithm based on subgradient method is proposed to determine the optimal solutions. Simulation results show that the proposed algorithm realize the trade-off between throughput and loss probability with delay fairness guarantee.