Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/341421
Type: Artigo
Title: BER evaluation of linear detectors in massive mimo systems under imperfect channel estimation effects
Author: Daniel Altamirano, Carlos
Minango, Juan
Carvajal Mora, Henry
De Almeida, Celso
Abstract: New perspectives for wireless communications have brought new techniques, such as a very large number of antennas at a base station (BS) serving multiple user terminals (UTs) with a single antenna each, known as massive MIMO (M-MIMO). M-MIMO linear detectors, such as maximal-ratio combining (MRC), zero-forcing (ZF) or minimum-mean-square error (MMSE) can achieve excellent performance with low complexity due to the channel hardening property. However, imperfect channel estimation produces a penalty in the performance. An average bit error rate (BER) performance analysis over time-invariant channel is presented for M-MIMO systems under imperfect channel estimation in contrast with most of M-MIMO literature that uses the ergodic capacity approach. Closed-form expressions and bounds to evaluate the average BER are derived for MRC, ZF and MMSE detectors in a unicellular environment considering M-QAM modulation. Furthermore, an expression to evaluate the normalized signal-to-noise ratio (E-b/N-0) penalty due to the imperfect channel estimation is presented. Montecarlo numerical simulations are used to verify the tightness of the derived equations which are a function of the number of BS antennas, number of users, coherence time interval, number of pilot symbols and the E-b/N-0 of pilot and data symbols used for channel estimation and data detection
Subject: Antenas (Eletrônica)
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Aberto
Identifier DOI: 10.1109/ACCESS.2019.2956828
Address: https://ieeexplore.ieee.org/document/8917985
Date Issue: 2019
Appears in Collections:FEEC - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
000509384100007.pdf4.22 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.