NDLI: Lattice reduction-based iterative receivers: using partial bit-wise MMSE filter with randomised sampling and MAP-aided integer perturbation

Content Provider	IET Digital Library
Author	Bai, Lin Li, Tian Zhao, Lewen Choi, Jinho
Abstract	For iterative detection and decoding (IDD) in multiple-input multiple-output systems, the maximum a posteriori probability (MAP) detector would be ideal in terms of the performance. However, due to its high computational complexity, various suboptimal low-complexity approximate MAP detectors have been studied. In this study, a lattice reduction (LR)-based detector is considered for a near-optimal performance for IDD. The authors improve further the performance by employing a partial bit-wise minimum mean square error (MMSE) approach with randomised sampling, which has a lower complexity than that of the full bit-wise MMSE method. Moreover, the list of candidate vectors obtained by randomised sampling is extended using a MAP-aided integer perturbation algorithm for a better performance with low additional complexity. Through simulation results, it is shown that a near-optimal performance can be obtained which is better than that of the LR-based randomised successive interference cancellation and the full bit-wise MMSE methods.
Starting Page	1394
Ending Page	1400
Page Count	7
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 11, Jul (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.1062
Journal	IET Communications
Publisher Date	2016-07-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Code Computational Complexity Electromagnetic Compatibility Filtering Theory Full Bit-wise MMSE Method IDD Interference Interference Suppression Interpolation And Function Approximation Iterative Decoding Iterative Detection And Decoding Lattice Reduction-based Iterative Receiver Least Mean Squares Method Linear Algebra MAP Detector MAP-aided Integer Perturbation Algorithm Maximum A Posteriori Probability Detector Maximum Likelihood Decoding MIMO Communication Minimum Mean Square Error Approach Multiple-input Multiple-output System Numerical Analysis Partial Bit-wise MMSE Filter Probability Radio Frequency Interference Radio Link And Equipment Radio Receiver Randomised Sampling Randomised Successive Interference Cancellation Statistics Suboptimal Low-computational Complexity Vector
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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