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Study Of Channel Capacity And Antenna Selection Convex Optimization For Mm-wave 28 GHz Channels

Posted on:2021-10-18Degree:MasterType:Thesis
Country:ChinaCandidate:A XiaFull Text:PDF
GTID:2518306305459574Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
28 GHz mm-wave band has been widely used and studied in the local multi-point distribution service.As signal transmission in high-frequency band is affected by many non-ideal factors in propagation environment,multiple antenna technology by selectively transmitting and receiving signals,which can improve channel capacity and communication performance.In this paper,based on 28 GHz mm-wave channel measurements performed in Power Scene,an antenna selection algorithm using convex(CVX)optimization maximum trace relaxation is proposed,which can provide useful reference value for 5G mm-wave wireless communication and system design.The main works of this paper are as follows:Firstly,the 28 GHz mm-wave channel characteristics,MIMO technology and channel parameters,including delay spread,angle spread,path loss are summarized and analyzed.Secondly,the spatial fluctuation and attenuation characteristics of antenna array correlation coefficient are analyzed,and influence of antenna correlation and fluctuation parameters on channel capacity is studied.Thirdly,large-scale antenna selection algorithm based on CVX is investigated,and a maximum trace relaxation selection algorithm is proposed,which is compared with the random antenna selection,correlation filtering and CVX random relaxation algorithms.Results show that the proposed algorithm in this paper can achieve the maximum channel capacity.In this paper,the CVX theory is used to analyze the antenna selection algorithms to study channel capacity of large-scale virtual antenna array,which can provide useful reference for 5G mm-wave wireless communication systems in Power Scene.
Keywords/Search Tags:Antenna element correlation, Channel Capacity, CVX, Maximum trace relaxation selection algorithm
PDF Full Text Request
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