{"title":"大规模MU-MIMO蜂窝网络中的波束形成:随机几何方法","authors":"A. Hassan, M. Moinuddin, U. M. Al-Saggaf","doi":"10.1109/ICIAS.2016.7824122","DOIUrl":null,"url":null,"abstract":"This work gives an insight into Beamforming scheme employed to Massive multi-user multiple-input multiple-output MU-MIMO Cellular System under stochastic geometry approach. A particular case envisioned for 5G; where a cellular network comprises of a number of antennas at Base Station that forms a beamforming projection on a single antenna user or Mobile Station. Under the auspices of stochastic geometry approach; a new theorem for outage probability under aggregate interference settings is derived that is generalized from recent works in beamforming and Massive MU-MIMO Heterogeneous Cellular Networks. Outage probability is characterized for three different reuse factors for the case of orthogonal pilots and results are verified by means of Monte Carlo simulations.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Beamforming in Massive MU-MIMO cellular networks: A stochastic geometry approach\",\"authors\":\"A. Hassan, M. Moinuddin, U. M. Al-Saggaf\",\"doi\":\"10.1109/ICIAS.2016.7824122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work gives an insight into Beamforming scheme employed to Massive multi-user multiple-input multiple-output MU-MIMO Cellular System under stochastic geometry approach. A particular case envisioned for 5G; where a cellular network comprises of a number of antennas at Base Station that forms a beamforming projection on a single antenna user or Mobile Station. Under the auspices of stochastic geometry approach; a new theorem for outage probability under aggregate interference settings is derived that is generalized from recent works in beamforming and Massive MU-MIMO Heterogeneous Cellular Networks. Outage probability is characterized for three different reuse factors for the case of orthogonal pilots and results are verified by means of Monte Carlo simulations.\",\"PeriodicalId\":247287,\"journal\":{\"name\":\"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAS.2016.7824122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAS.2016.7824122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Beamforming in Massive MU-MIMO cellular networks: A stochastic geometry approach
This work gives an insight into Beamforming scheme employed to Massive multi-user multiple-input multiple-output MU-MIMO Cellular System under stochastic geometry approach. A particular case envisioned for 5G; where a cellular network comprises of a number of antennas at Base Station that forms a beamforming projection on a single antenna user or Mobile Station. Under the auspices of stochastic geometry approach; a new theorem for outage probability under aggregate interference settings is derived that is generalized from recent works in beamforming and Massive MU-MIMO Heterogeneous Cellular Networks. Outage probability is characterized for three different reuse factors for the case of orthogonal pilots and results are verified by means of Monte Carlo simulations.