Paper Info
Title
Ber Evaluation Of Linear Detectors In Massive Mimo Systems Under Imperfect Channel Estimation Effects
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.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2956828
IEEE ACCESS
Keywords
DocType
Volume
BER, imperfect channel estimation, massive MIMO, maximal-ratio combining, minimum-mean-square error, zero-forcing
Journal
7
ISSN
Citations 
PageRank 
2169-3536
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
Carlos Daniel Altamirano110.36
Juan Minango210.36
Henry Ramiro Carvajal Mora310.36
Celso Almeida436.47