Efficient optimal joint channel estimation and data detection for massive MIMO systems

Haider Ali Jasim Alshamary, Weiyu Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper, we propose an efficient optimal joint channel estimation and data detection algorithm for massive MIMO wireless systems. Our algorithm is optimal in terms of the generalized likelihood ratio test (GLRT). For massive MIMO systems, we show that the expected complexity of our algorithm grows polynomially in the channel coherence time. Simulation results demonstrate significant performance gains of our algorithm compared with suboptimal non-coherent detection algorithms. To the best of our knowledge, this is the first algorithm which efficiently achieves GLRT-optimal non-coherent detections for massive MIMO systems with general constellations.
Original languageEnglish (US)
Title of host publication2016 IEEE International Symposium on Information Theory (ISIT)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages875-879
Number of pages5
ISBN (Print)9781509018062
DOIs
StatePublished - Aug 15 2016
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Xu's work is supported by Simons Foundation, KAUST grant, and NIH 1 RO 1 EB020665-0 I.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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