{"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}
引用次数: 4
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.