Paper Info
Title
Joint Agc And Receiver Design For Large-Scale Mu-Mimo Systems With Low-Resolution Signals In C-Rans
Abstract
Large-scale multi-user multiple-input multiple-output (MU-MIMO) systems and cloud radio access networks (C-RANs) are promising technologies for the fifth generation (5G) of wireless networks. In this context, the use of low-resolution analogue-to-digital converters (ADCs) is key for energy efficiency and for complying with constrained fronthaul links. Processing signals with a few bits implies performance loss and, therefore, techniques that can compensate for quantisation distortion are fundamental. In wireless systems, an automatic gain control (AGC) precedes the ADCs to adjust the input signal level in order to reduce the impact of quantisation. In this work, the authors propose the joint optimisation of the AGC, which works in the remote radio heads (RRHs), and a low-resolution aware (LRA) linear receive filter based on the minimum mean square error (MMSE), which works in the cloud unit (CU), for large-scale MU-MIMO systems with coarsely quantised signals. They develop linear and successive interference cancellation receivers based on the proposed joint AGC and LRA MMSE (AGC-LRA-MMSE) approach. An analysis of the achievable sum rates along with a computational complexity study is also carried out. Simulations show that the proposed AGC-LRA-MMSE design obtains substantial gains in bit error rates and achievable information rates over existing techniques.
Year
DOI
Venue
2020
10.1049/iet-com.2020.0546
IET COMMUNICATIONS
Keywords
DocType
Volume
MIMO communication, computational complexity, least mean squares methods, radio access networks, automatic gain control, radio receivers, interference suppression, optimisation, error statistics, quantisation (signal), multi-access systems, telecommunication computing, cloud computing, 5G mobile communication, filtering theory, low-resolution aware linear, large-scale MU-MIMO systems, coarsely quantised signals, successive interference cancellation receivers, joint AGC, LRA MMSE approach, AGC-LRA-MMSE design obtains substantial gains, receiver design, low-resolution signals, C-RAN, large-scale multiuser multiple-input, cloud radio access networks, wireless networks, low-resolution analogue-to-digital converters, constrained fronthaul links, processing signals, quantisation distortion, wireless systems, input signal level, joint optimisation, remote radio heads
Journal
14
Issue
ISSN
Citations 
21
1751-8628
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Thiago E.B. Cunha100.34
Rodrigo C. de Lamare21461179.59
Ferreira, T.N.322.51
Lukas T. N. Landau425.10