{"title":"Performance Characterization of Equalization Techniques in MIMO System under Co-channel Interference and Spatial Correlation","authors":"Sarthak Seth, Dhruv C. Mathur","doi":"10.1109/Confluence47617.2020.9058021","DOIUrl":null,"url":null,"abstract":"Advancements in mobile data communications require a very robust and reliable system. Future wireless systems requires high bit rate, low bit error rate, maximum transmission with very low power, lower bandwidth etc. The designed system should also be able to combat the effects of noise, co-channel interference (CCI), inter-symbol interference (ISI), spatial correlation and multipath fading effects. These effects deteriorate the performance of system significantly. MIMO system with more than one antenna at the transmitter and the receiver are used to combat all these impairments. Different detection techniques are applied at the receiver for the equalization and reduction of unwanted effects. In this paper, bit error rate (BER) of different equalization algorithms has been derived under the influence of ISI, CCI, and spatial correlation. Different Equalization techniques like ZF, MMSE, ZF-SIC, MMSE-SIC and ML.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Confluence47617.2020.9058021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Advancements in mobile data communications require a very robust and reliable system. Future wireless systems requires high bit rate, low bit error rate, maximum transmission with very low power, lower bandwidth etc. The designed system should also be able to combat the effects of noise, co-channel interference (CCI), inter-symbol interference (ISI), spatial correlation and multipath fading effects. These effects deteriorate the performance of system significantly. MIMO system with more than one antenna at the transmitter and the receiver are used to combat all these impairments. Different detection techniques are applied at the receiver for the equalization and reduction of unwanted effects. In this paper, bit error rate (BER) of different equalization algorithms has been derived under the influence of ISI, CCI, and spatial correlation. Different Equalization techniques like ZF, MMSE, ZF-SIC, MMSE-SIC and ML.