{"title":"Computing upper bounds for coordinated multipoint transmission in small networks","authors":"W. Utschick, A. Brack","doi":"10.1109/WSA.2011.5741933","DOIUrl":null,"url":null,"abstract":"Coordinated beamforming for intercell interference management in multicell networks is considered. The base stations are equipped with multiple antennas, while the mobile terminals only have a single antenna. The base stations perform beamforming, user group selection, and scheduling operations. A mobile terminal can be served from multiple base stations, which requires advanced receiver techniques, whereas remaining intercell interference is treated as noise. The corresponding resource allocation problem is cast as a utility maximization problem. After a suitable reformulation, the problem can be solved to global optimality using a monotonic optimization method. The proposed framework allows computing benchmarks for certain scenarios, utility functions, and cooperation strategies.","PeriodicalId":307097,"journal":{"name":"2011 International ITG Workshop on Smart Antennas","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International ITG Workshop on Smart Antennas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSA.2011.5741933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Coordinated beamforming for intercell interference management in multicell networks is considered. The base stations are equipped with multiple antennas, while the mobile terminals only have a single antenna. The base stations perform beamforming, user group selection, and scheduling operations. A mobile terminal can be served from multiple base stations, which requires advanced receiver techniques, whereas remaining intercell interference is treated as noise. The corresponding resource allocation problem is cast as a utility maximization problem. After a suitable reformulation, the problem can be solved to global optimality using a monotonic optimization method. The proposed framework allows computing benchmarks for certain scenarios, utility functions, and cooperation strategies.