{"title":"Amari Alpha Divergence-Based Channel Estimator for Pilot Contaminated Multicell MIMO System","authors":"Shekhar Pratap Singh;Parth Sharma;Pyari Mohan Pradhan","doi":"10.1109/LCOMM.2024.3492280","DOIUrl":null,"url":null,"abstract":"The multiple input multiple output (MIMO) system deployed in multicell multiuser scenario suffers from pilot contamination due to interference. The contaminated pilot used in the channel estimation leads to inaccurate estimates of the channel. In this letter, a multicell multiuser channel estimation technique based on the Amari alpha divergence based LMS algorithm (AALMS) is proposed for MIMO system. The mean stability analysis has been carried out, and the upper bound on the step size parameter of the AALMS algorithm is derived. The steady state mean square deviation (MSD) analysis is also presented. Monte-carlo simulations have been carried out considering a Rayleigh fading channel. The simulation results show that the proposed scheme provides better estimates of the channel as indicated by the lower mean square error (MSE) and MSD.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"35-39"},"PeriodicalIF":3.7000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10745637/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The multiple input multiple output (MIMO) system deployed in multicell multiuser scenario suffers from pilot contamination due to interference. The contaminated pilot used in the channel estimation leads to inaccurate estimates of the channel. In this letter, a multicell multiuser channel estimation technique based on the Amari alpha divergence based LMS algorithm (AALMS) is proposed for MIMO system. The mean stability analysis has been carried out, and the upper bound on the step size parameter of the AALMS algorithm is derived. The steady state mean square deviation (MSD) analysis is also presented. Monte-carlo simulations have been carried out considering a Rayleigh fading channel. The simulation results show that the proposed scheme provides better estimates of the channel as indicated by the lower mean square error (MSE) and MSD.
期刊介绍：
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
