Koki Miyamoto;Koji Nishibe;Takanori Shibakura;Kosuke Tamura;Jaesang Cha;Seongchul Cho;Chang-Jun Ahn
{"title":"Analysis of Outage Probability for Massive MIMO Systems Under Multi-Cell and Imperfect CSI Environments","authors":"Koki Miyamoto;Koji Nishibe;Takanori Shibakura;Kosuke Tamura;Jaesang Cha;Seongchul Cho;Chang-Jun Ahn","doi":"10.23919/comex.2023XBL0175","DOIUrl":null,"url":null,"abstract":"We analyze the outage probability for a massive multiple-input-multiple-output (MIMO) system employing maximum ratio transmission (MRT) under a multi-cell scenario. As cells become smaller, it will be even more necessary to analyze the outage probability considering interference from neighboring cells. Under a multi-cell environment, communication performance can be substantially compromised by channel estimation errors and inter-cell interference (ICI). We investigate the distribution of signal-to-interference and noise ratio (SINR) in a massive MIMO system and formulate a novel mathematical model for the outage probability. Simulation results show the validity of the derived mathematical model.","PeriodicalId":54101,"journal":{"name":"IEICE Communications Express","volume":"13 4","pages":"114-117"},"PeriodicalIF":0.3000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10439033","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEICE Communications Express","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10439033/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
We analyze the outage probability for a massive multiple-input-multiple-output (MIMO) system employing maximum ratio transmission (MRT) under a multi-cell scenario. As cells become smaller, it will be even more necessary to analyze the outage probability considering interference from neighboring cells. Under a multi-cell environment, communication performance can be substantially compromised by channel estimation errors and inter-cell interference (ICI). We investigate the distribution of signal-to-interference and noise ratio (SINR) in a massive MIMO system and formulate a novel mathematical model for the outage probability. Simulation results show the validity of the derived mathematical model.