NDLI: Adaptive multiple stage K-best successive interference cancellation algorithm for MIMO detection

Content Provider	Springer Nature Link
Author	Mandloi, Manish Hussain, Mohammed Azahar Bhatia, Vimal
Copyright Year	2017
Abstract	In this article, we propose an adaptive multiple stage K-best successive interference cancellation (AMS-KSIC) algorithm for symbol vector detection in multiple-input multiple-output systems. The proposed algorithm employs multiple successive interference cancellation (SIC) stages in parallel, where the number of stages depends on the number of positions at which the minimum mean squared error (MMSE) estimate of the received vector and the SIC solution differ, and each stage is initialized with the partial MMSE estimate of the received vector. In every stage, K-best solutions are generated by using the minimum Euclidean distance criteria. Furthermore, to reduce error propagation, we use two different ordering strategies namely, signal to noise ratio and log-likelihood ratio based orderings. The best solution among all the generated solutions is selected by using maximum likelihood (ML) cost metric. Multiple stages along with K-best solutions in every stage achieves a higher detection diversity, and hence, yield a better performance in terms of bit error rate (BER). From simulations, we observe that the proposed AMS-KSIC algorithm performs better than the MMSE and the SIC based detection schemes, and achieves a near ML performance. Further, the BER performance of the proposed algorithm improves with increase in the number of antennas and shifts towards single-input single-output additive white Gaussian noise performance. In addition, we also check and validate robustness of the proposed algorithm by simulating the BER performance under channel estimation errors.
Starting Page	1
Ending Page	16
Page Count	16
File Format	PDF
ISSN	10184864
Journal	Telecommunication Systems
Volume Number	66
Issue Number	1
e-ISSN	15729451
Language	English
Publisher	Springer US
Publisher Date	2017-01-04
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	MIMO detection Minimum mean squared error Zero forcing Bit error rate Successive interference cancellation K-best IT in Business Computer Communication Networks Artificial Intelligence (incl. Robotics) Probability Theory and Stochastic Processes
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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