{"title":"蜂窝系统中分布式天线的优化布局","authors":"S. Firouzabadi, A. Goldsmith","doi":"10.1109/SPAWC.2011.5990452","DOIUrl":null,"url":null,"abstract":"We investigate the optimal placement of transmit antennas in distributed antenna systems. Our optimization framework imposes no constraints on the location of the antennas. Based on stochastic approximation theory, we adopt a formulation that is suitable for node placement optimization in various wireless network scenarios. We show that optimal placement of antennas inside the coverage region can significantly improve the power efficiency of wireless networks. We obtain the optimal placement topologies for different numbers of antennas and illustrate that the circular deployment is not optimum in general. Finally, we show via simulations that the optimal placement solution does not depend on the underlying shadowing model.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Optimal placement of distributed antennas in cellular systems\",\"authors\":\"S. Firouzabadi, A. Goldsmith\",\"doi\":\"10.1109/SPAWC.2011.5990452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate the optimal placement of transmit antennas in distributed antenna systems. Our optimization framework imposes no constraints on the location of the antennas. Based on stochastic approximation theory, we adopt a formulation that is suitable for node placement optimization in various wireless network scenarios. We show that optimal placement of antennas inside the coverage region can significantly improve the power efficiency of wireless networks. We obtain the optimal placement topologies for different numbers of antennas and illustrate that the circular deployment is not optimum in general. Finally, we show via simulations that the optimal placement solution does not depend on the underlying shadowing model.\",\"PeriodicalId\":102244,\"journal\":{\"name\":\"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2011.5990452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2011.5990452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal placement of distributed antennas in cellular systems
We investigate the optimal placement of transmit antennas in distributed antenna systems. Our optimization framework imposes no constraints on the location of the antennas. Based on stochastic approximation theory, we adopt a formulation that is suitable for node placement optimization in various wireless network scenarios. We show that optimal placement of antennas inside the coverage region can significantly improve the power efficiency of wireless networks. We obtain the optimal placement topologies for different numbers of antennas and illustrate that the circular deployment is not optimum in general. Finally, we show via simulations that the optimal placement solution does not depend on the underlying shadowing model.