Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels
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TLDR
A distributed compressive sensing-based channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels can solve the power leakage problem caused by the continuous angles of arrival or departure.Abstract:
This letter proposes a multi-user uplink channel estimation scheme for mmWave massive MIMO over frequency selective fading (FSF) channels. Specifically, by exploiting the angle-domain structured sparsity of mmWave FSF channels, a distributed compressive sensing-based channel estimation scheme is proposed. Moreover, by using the grid matching pursuit strategy with adaptive measurement matrix, the proposed algorithm can solve the power leakage problem caused by the continuous angles of arrival or departure. Simulation results verify the good performance of the proposed solution.read more
Citations
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Journal ArticleDOI
Millimeter Wave Communications for Future Mobile Networks
Ming Xiao,Shahid Mumtaz,Yongming Huang,Linglong Dai,Yonghui Li,Michail Matthaiou,George K. Karagiannidis,Emil Björnson,Kai Yang,Chih-Lin I,Amitabha Ghosh +10 more
TL;DR: A comprehensive survey of mmWave communications for future mobile networks (5G and beyond) is presented, including an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity.
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A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives
Irfan Ahmed,Hedi Khammari,Adnan Shahid,Ahmed Musa,Kwang Soon Kim,Eli De Poorter,Ingrid Moerman +6 more
TL;DR: The suitability of hybrid beamforming methods, both, existing and proposed till first quarter of 2017, are explored, and the exciting future challenges in this domain are identified.
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Prospective Multiple Antenna Technologies for Beyond 5G
TL;DR: In this article, the authors survey three new multiple antenna technologies that can play key roles in beyond 5G networks: cell-free massive MIMO, beamspace massive mIMO and intelligent reflecting surfaces.
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Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems
TL;DR: This paper develops a sparse formulation and compressed sensing-based solutions for the wideband mmWave channel estimation problem for hybrid architectures and proposes explicit channel estimation techniques for purely time or frequency domains and for combined time/frequency domains.
Journal ArticleDOI
Frequency-Domain Compressive Channel Estimation for Frequency-Selective Hybrid Millimeter Wave MIMO Systems
TL;DR: In this paper, the authors considered a frequency-selective mm-wave channel and proposed compressed sensing-based strategies to estimate the channel in the frequency domain, and evaluated different algorithms and computed their complexity to expose tradeoffs in complexity overhead performance as compared with those of previous approaches.
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