{"title":"Research on MIMO Channel Capacity in Complex Indoor Environment Based on Deterministic Channel Model","authors":"Yuanqiang Wang, Zhongyu Liu, Li-xin Guo","doi":"10.1109/ICCCWorkshops52231.2021.9538881","DOIUrl":null,"url":null,"abstract":"With the popularization of intelligent mobile terminals, the emerging high-speed data exchange services make MIMO become an important development direction, which poses new challenges to the planning and optimization of communication networks. In order to support the design and optimization of future MIMO communication system suitable for complex indoor environment, the deterministic channel model based on ray tracing method is used to calculate the impulse response of the receiving antenna of MIMO system, which provides a reliable support for the channel capacity estimation in this scenario. The simulation results show that the channel capacity of the MIMO system increases with the increase of the antenna density, the antenna array aperture and the SNR, or decreases with the decrease of the spatial correlation between multipaths.","PeriodicalId":335240,"journal":{"name":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCWorkshops52231.2021.9538881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the popularization of intelligent mobile terminals, the emerging high-speed data exchange services make MIMO become an important development direction, which poses new challenges to the planning and optimization of communication networks. In order to support the design and optimization of future MIMO communication system suitable for complex indoor environment, the deterministic channel model based on ray tracing method is used to calculate the impulse response of the receiving antenna of MIMO system, which provides a reliable support for the channel capacity estimation in this scenario. The simulation results show that the channel capacity of the MIMO system increases with the increase of the antenna density, the antenna array aperture and the SNR, or decreases with the decrease of the spatial correlation between multipaths.