{"title":"有限回程容量下基站合作的能源效率分析","authors":"M. Sarkiss, M. Kamoun","doi":"10.1109/ComNet.2012.6217733","DOIUrl":null,"url":null,"abstract":"Recently, Energy Efficient (EE) communications have received increasing interest specially in cellular networks. Promising techniques, such as MIMO and Base Station (BS) Cooperation schemes, have been widely studied in the past to improve the spectral efficiency and the reliability. Nowadays, the purpose is to investigate how these techniques can reduce the energy consumption of the systems. In this paper, we address for a single user scenario the energy efficiency of two BSs cooperation under limited backhaul capacity. In order to evaluate the EE metric, we provide an information-theoretical analysis based on the outage probability. Then, we identify by numerical results the cooperation scenarios that can save energy depending on the backhaul capacity.","PeriodicalId":296060,"journal":{"name":"Third International Conference on Communications and Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Energy efficiency analysis of base station cooperation under limited backhaul capacity\",\"authors\":\"M. Sarkiss, M. Kamoun\",\"doi\":\"10.1109/ComNet.2012.6217733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, Energy Efficient (EE) communications have received increasing interest specially in cellular networks. Promising techniques, such as MIMO and Base Station (BS) Cooperation schemes, have been widely studied in the past to improve the spectral efficiency and the reliability. Nowadays, the purpose is to investigate how these techniques can reduce the energy consumption of the systems. In this paper, we address for a single user scenario the energy efficiency of two BSs cooperation under limited backhaul capacity. In order to evaluate the EE metric, we provide an information-theoretical analysis based on the outage probability. Then, we identify by numerical results the cooperation scenarios that can save energy depending on the backhaul capacity.\",\"PeriodicalId\":296060,\"journal\":{\"name\":\"Third International Conference on Communications and Networking\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Third International Conference on Communications and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComNet.2012.6217733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComNet.2012.6217733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy efficiency analysis of base station cooperation under limited backhaul capacity
Recently, Energy Efficient (EE) communications have received increasing interest specially in cellular networks. Promising techniques, such as MIMO and Base Station (BS) Cooperation schemes, have been widely studied in the past to improve the spectral efficiency and the reliability. Nowadays, the purpose is to investigate how these techniques can reduce the energy consumption of the systems. In this paper, we address for a single user scenario the energy efficiency of two BSs cooperation under limited backhaul capacity. In order to evaluate the EE metric, we provide an information-theoretical analysis based on the outage probability. Then, we identify by numerical results the cooperation scenarios that can save energy depending on the backhaul capacity.