Achieving Near Capacity of Non-Binary LDPC Coded Large MIMO Systems with a Novel Ultra Low-Complexity Soft-Output Detector

Recently, it has been proved that both MMSE and MF detectors are near optimal detection for large scale MIMO systems, e.g., MIMO systems with hundreds of antennas. In order to attain near capacity region with reasonable complexity, low-complexity detector with soft-output generation is necessary for...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2013-10, Vol.12 (10), p.5185-5199
Main Authors: Suthisopapan, Puripong, Kasai, Kenta, Meesomboon, Anupap, Imtawil, Virasit
Format: Article
Language:English
Subjects:
Antennas
Applied sciences
Coding, codes
Decoding
Detection, estimation, filtering, equalization, prediction
Detectors
Exact sciences and technology
hundreds of antennas
Information, signal and communications theory
Large MIMO systems
MF detection
MIMO
MMSE detection
non-binary LDPC codes
Parity check codes
Radiocommunications
Receiving antennas
Signal and communications theory
Signal to noise ratio
Signal, noise
soft-output detection
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Turbo codes
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Summary:Recently, it has been proved that both MMSE and MF detectors are near optimal detection for large scale MIMO systems, e.g., MIMO systems with hundreds of antennas. In order to attain near capacity region with reasonable complexity, low-complexity detector with soft-output generation is necessary for coded large MIMO systems. We show in this paper that the non-binary LDPC codes and well-known soft-output MMSE detector can be utilized to significantly reduce the gap to capacity. We also propose a novel soft-output MF-based detector for the non-binary LDPC coded large MIMO systems. With this proposed detector, capacity approaching performance, i.e., the gap to capacity of 1.6 dB, can be achieved with ultra low-complexity detection, e.g., just 0.28% of MMSE detection. Moreover, use of the proposed scheme in large MIMO systems is found to be robust to the presence of imperfect channel estimation and spatial fading correlation which are both the realistic scenarios for large MIMO systems.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2013.090513.122056