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Open AccessArticle

Codebook-Aided DOA Estimation Algorithms for Massive MIMO System

by Shufeng Li 1,2,†, Hongda Wu 1,* and Libiao Jin 1
School of Information and Communication Engineering, Communication University of China, Beijing 100024, China
Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Leicestershire LE11 3TU, UK
Author to whom correspondence should be addressed.
Presently, the author is a visiting scholar in Loughborough University.
Electronics 2019, 8(1), 26;
Received: 27 November 2018 / Revised: 22 December 2018 / Accepted: 24 December 2018 / Published: 26 December 2018
(This article belongs to the Special Issue Green Communications in Smart City)
The conventional direction of arrival (DOA) estimation algorithm is not effective with the tremendous complexity due to the large-scale array antennas in a massive multiple-input multiple-output (MIMO) system. A new frame structure for downlink transmission is presented. Then, codebook-aided (C-aided) algorithms are proposed based on this frame structure that can fully exploit the priori information under channel codebook feedback mechanism. An oriented angle range is scoped through the codebook feedback, which is drastically beneficial to reduce computational burden for DOA estimation in massive MIMO systemss. Compared with traditional DOA estimation algorithms, our proposed C-aided algorithms are computationally efficient and meet the demand of future green communication. Simulations show the estimation effectiveness of C-aided algorithms and advantage for decrement of computational cost. View Full-Text
Keywords: DOA estimation; channel feedback; codebook; massive MIMO DOA estimation; channel feedback; codebook; massive MIMO
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MDPI and ACS Style

Li, S.; Wu, H.; Jin, L. Codebook-Aided DOA Estimation Algorithms for Massive MIMO System. Electronics 2019, 8, 26.

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