{"title":"具有统计延迟约束的多用户MIMO下行系统的节能功率分配","authors":"Jae-Hong Kwon, Young-Chai Ko, Jinwoo Shin","doi":"10.1109/CSCN.2019.8931355","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an energy efficient power allocation algorithm to maximize the energy efficiency (EE) of downlink multi-user multiple-input multiple-output (DL MU-MIMO) systems under the individual delay-quality of service (QoS) constraints. Using the novel performance metric, effective-EE, which takes into account the impact of delay outage, we can formulate effective-EE maximization problem with the delay-QoS constraints as a power allocation problem. By applying Lagrangian method, we can solve optimization problem and propose the power allocation algorithm. Simulation results demonstrate that our proposed algorithm can improve the effective-EE performance for MU-MIMO downlink systems.","PeriodicalId":102095,"journal":{"name":"2019 IEEE Conference on Standards for Communications and Networking (CSCN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints\",\"authors\":\"Jae-Hong Kwon, Young-Chai Ko, Jinwoo Shin\",\"doi\":\"10.1109/CSCN.2019.8931355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an energy efficient power allocation algorithm to maximize the energy efficiency (EE) of downlink multi-user multiple-input multiple-output (DL MU-MIMO) systems under the individual delay-quality of service (QoS) constraints. Using the novel performance metric, effective-EE, which takes into account the impact of delay outage, we can formulate effective-EE maximization problem with the delay-QoS constraints as a power allocation problem. By applying Lagrangian method, we can solve optimization problem and propose the power allocation algorithm. Simulation results demonstrate that our proposed algorithm can improve the effective-EE performance for MU-MIMO downlink systems.\",\"PeriodicalId\":102095,\"journal\":{\"name\":\"2019 IEEE Conference on Standards for Communications and Networking (CSCN)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Conference on Standards for Communications and Networking (CSCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCN.2019.8931355\",\"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 IEEE Conference on Standards for Communications and Networking (CSCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCN.2019.8931355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints
In this paper, we propose an energy efficient power allocation algorithm to maximize the energy efficiency (EE) of downlink multi-user multiple-input multiple-output (DL MU-MIMO) systems under the individual delay-quality of service (QoS) constraints. Using the novel performance metric, effective-EE, which takes into account the impact of delay outage, we can formulate effective-EE maximization problem with the delay-QoS constraints as a power allocation problem. By applying Lagrangian method, we can solve optimization problem and propose the power allocation algorithm. Simulation results demonstrate that our proposed algorithm can improve the effective-EE performance for MU-MIMO downlink systems.