Title
Joint Automatic Gain Control and MMSE Receiver Design for Quantized Multiuser MIMO Systems
Abstract
This paper presents the development of a joint optimization of an automatic gain control (AGC) algorithm and a linear minimum mean square error (MMSE) receiver for multiuser multiple input multiple output (MU-MIMO) systems with coarsely quantized signals. The optimization of the AGC is based on the minimization of the mean square error (MSE) and the proposed receive filter takes into account the presence of the AGC and the effects due to quantization. Moreover, we provide a lower bound on the capacity of the MU-MIMO system by deriving an expression for the achievable rate. The performance of the proposed Low-Resolution Aware MMSE (LRA-MMSE) receiver and AGC algorithm is evaluated by simulations, and compared with the conventional MMSE receive filter and Zero-Forcing (ZF) receiver using quantization resolution of 2, 3, 4 and 5 bits.
Year
DOI
Venue
2018
10.1109/ISWCS.2018.8491040
2018 15th International Symposium on Wireless Communication Systems (ISWCS)
Keywords
Field
DocType
Coarse Quantization,AGC,MU-MIMO detection,MMSE receiver
Upper and lower bounds,Computer science,Minimum mean square error,Mean squared error,Algorithm,Real-time computing,Minification,Quantization (physics),Quantization (signal processing),Automatic gain control,Automatic Generation Control
Conference
ISSN
ISBN
Citations 
2154-0217
978-1-5386-5006-6
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Thiago Elias B. Cunha100.34
R. C. de Lamare28410.68
Ferreira, T.N.322.51
Tim Hälsig492.70