{"title":"MIMO-OFDMA认知无线电系统中的协同波束形成","authors":"M. Abbasi Jannat-Abad, H. Zamiri-Jafarian","doi":"10.1109/ISTEL.2010.5733995","DOIUrl":null,"url":null,"abstract":"In this paper, a new algorithm is proposed for cooperative beamforming in the multiple input multiple output (MIMO) orthogonal frequency division multiple access (OFDMA) cognitive radio (CR) systems. The objective is to maximize the signal to interference plus noise ratio (SINR) of the selected secondary users subject to guarantee the primary user's quality of service over all subchannels. In each subchannel, in addition to the primary user (PU), one secondary user (SU), whose quality of service is the best, is selected to be serviced. The transmitter and receiver beamforming vectors are estimated by a two-step iterative algorithm. The performance of the algorithm is evaluated by computer simulations under different scenarios.","PeriodicalId":306663,"journal":{"name":"2010 5th International Symposium on Telecommunications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Cooperative beamforming in MIMO-OFDMA cognitive radio systems\",\"authors\":\"M. Abbasi Jannat-Abad, H. Zamiri-Jafarian\",\"doi\":\"10.1109/ISTEL.2010.5733995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new algorithm is proposed for cooperative beamforming in the multiple input multiple output (MIMO) orthogonal frequency division multiple access (OFDMA) cognitive radio (CR) systems. The objective is to maximize the signal to interference plus noise ratio (SINR) of the selected secondary users subject to guarantee the primary user's quality of service over all subchannels. In each subchannel, in addition to the primary user (PU), one secondary user (SU), whose quality of service is the best, is selected to be serviced. The transmitter and receiver beamforming vectors are estimated by a two-step iterative algorithm. The performance of the algorithm is evaluated by computer simulations under different scenarios.\",\"PeriodicalId\":306663,\"journal\":{\"name\":\"2010 5th International Symposium on Telecommunications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 5th International Symposium on Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISTEL.2010.5733995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 5th International Symposium on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISTEL.2010.5733995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cooperative beamforming in MIMO-OFDMA cognitive radio systems
In this paper, a new algorithm is proposed for cooperative beamforming in the multiple input multiple output (MIMO) orthogonal frequency division multiple access (OFDMA) cognitive radio (CR) systems. The objective is to maximize the signal to interference plus noise ratio (SINR) of the selected secondary users subject to guarantee the primary user's quality of service over all subchannels. In each subchannel, in addition to the primary user (PU), one secondary user (SU), whose quality of service is the best, is selected to be serviced. The transmitter and receiver beamforming vectors are estimated by a two-step iterative algorithm. The performance of the algorithm is evaluated by computer simulations under different scenarios.
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