Paper Info
Title
Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations
Abstract
Large-scale (or massive) multiple-input multiple-out put (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems based on the upcoming 3GPP LTE Release 12 standard, for example. In this work, we propose-to the best of our knowledge-the first VLSI design enabling high-throughput data detection in single-carrier frequency-division multiple access (SC-FDMA)-based large-scale MIMO systems. We propose a new approximate matrix inversion algorithm relying on a Neumann series expansion, which substantially reduces the complexity of linear data detection. We analyze the associated error, and we compare its performance and complexity to those of an exact linear detector. We present corresponding VLSI architectures, which perform exact and approximate soft-output detection for large-scale MIMO systems with various antenna/user configurations. Reference implementation results for a Xilinx Virtex-7 XC7VX980T FPGA show that our designs are able to achieve more than 600 Mb/s for a 128 antenna, 8 user 3GPP LTE-based large-scale MIMO system. We finally provide a performance/complexity trade-off comparison using the presented FPGA designs, which reveals that the detector circuit of choice is determined by the ratio between BS antennas and users, as well as the desired error-rate performance.
Year
DOI
Venue
2014
10.1109/JSTSP.2014.2313021
Selected Topics in Signal Processing, IEEE Journal of  
Keywords
DocType
Volume
Long Term Evolution,MIMO communication,VLSI,algebra,cellular radio,field programmable gate arrays,frequency division multiple access,matrix inversion,3GPP LTE Release 12 standard,FPGA implementation,Neumann series expansion,SC-FDMA,VLSI design,Xilinx Virtex-7 XC7VX980T,approximate matrix inversion algorithm,error analysis,error-rate performance,exact linear detector,high-throughput data detection,large-scale MIMO detection,linear data detection complexity,massive MIMO systems,multiple-input multiple-output,next-generation multiuser cellular system,single-carrier frequency-division multiple access,soft-output detection,trade-off comparison,Approximate matrix inversion,FPGA design,Neumann series,VLSI,large-scale (or massive) MIMO,linear soft-output detection,minimum mean square error (MMSE)
Journal
8
Issue
ISSN
Citations 
5
1932-4553
30
PageRank 
References 
Authors
1.59
0
6
Name
Order
Citations
PageRank
Michael Wu127118.30
Bei Yin221214.61
Guohui Wang3108860.78
Chris Dick485265.64
Joseph R. Cavallaro51175115.35
Christoph Studer6109785.83