NDLI: Multiple restarts mixed Gibbs sampling detector for large-scale antenna systems

Content Provider	IET Digital Library
Author	Mussi, Alex Miyamoto Abrão, Taufik
Abstract	This work proposes a low-complexity detector for medium- and high-order modulation large-scale multiple-input multiple-output (LS-MIMO) systems based on the set of Markov chain Monte-Carlo techniques. Such efficient signal detection algorithm is based on the mixed Gibbs sampling with multiple restarts (MGS-MR) strategy with sample-averaged approach during the coordinate updating process, named averaged MGS (aMGS). The proposed strategy applies multiple samples average procedure to restrict the range of the random solution, which comes from the mixture proposed by the original MGS. Numerical simulation results considering higher-order M-QAM demonstrated that the proposed detection method can substantially improve the convergence of the MGS-MR algorithm, while no extra computational complexity is required. The proposed aMGS-based detector suitable for medium- and high-order modulation LS-MIMO further exhibits improved performance when the system loading is high, i.e. when (K/N) ≥ 0.75. In addition, the proposed numerical simulation analyses have shown that the optimal value of the mixing ratio parameter can vary regarding system and channel configuration scenarios, resulting somewhat different from the 1/2K value disseminated in the literature.
Starting Page	273
Ending Page	285
Page Count	13
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5206
Journal	IET Signal Processing
Publisher Date	2018-11-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AMGS-based Detector Approximation Theory Averaged MGS Channel Configuration Scenarios Computational Complexity Coordinate Updating Process Detection Method Efficient Signal Detection Algorithm Extra Computational Complexity High-order Modulation Large-scale Multiple-input Multiple-output System High-order Modulation LS-MIMO System Higher-order M-QAM Interpolation And Function Approximation Large-scale Antenna System Low-complexity Detector Markov Chain Monte-Carlo Technique Markov Processes Medium-order Modulation LS-MIMO MGS-MR Algorithm MIMO Communication Mixing Ratio Parameter Modulation And Coding Method Monte Carlo Method Multiple Restarts Mixed Gibbs Sampling Detector Numerical Analysis Numerical Simulation Quadrature Amplitude Modulation Radio Link And Equipment Sample-averaged Approach Signal Detection Signal Sampling System Loading Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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