Multi-user mmWave MIMO channel estimation with hybrid Beamforming over frequency selective fading channels

Uwaechia, Anthony Ngozichukwuka and Mahyuddin, Nor Muzlifah and Ain, Mohd Fadzil and Abdul Latiff, Nurul Muazzah and Za'bah, Nor Farahidah (2020) Multi-user mmWave MIMO channel estimation with hybrid Beamforming over frequency selective fading channels. In: 2019 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2019, 17th - 19th September 2019, Kuala Lumpur, Malaysia.

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Abstract

In multi-user millimeter wave (mmWave) multiple input multiple output (MIMO) systems, obtaining accurate information/knowledge regarding the channel state is crucial to achieving multi-user interference cancellation and reliable beamforming (BF)-to compensate for severe path loss. This knowledge is nonetheless very challenging to acquire in practice since large antenna arrays experience a low signal-to-noise ratio (SNR) before BF. In this paper, a multi-user channel estimation (CE) scheme namely generalized-block compressed sampling matching pursuit (G-BCoSaMP), is proposed for multi-user mmWave MIMO systems over frequency selective fading channels. This scheme exploits the cluster-structured sparsity in the angular and delay domain of mmWave channels determined by the actual spatial frequencies of each path. As the corresponding spatial frequencies of multi-user mmWave MIMO systems with Hybrid BF often fall between the discrete Fourier transform (DFT) bins due to the continuous Angle of Arrival (AoA)/Angle of Departure (AoD), the proposed G-BCoSaMP algorithm can address the resulting power leakage problem. Simulation results show that the proposed algorithm is effective and offer a better CE performance in terms of MSE when compared to the generalized block orthogonal matching pursuit (G-BOMP) algorithm that does not possess a pruning step.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	5466/82412
Uncontrolled Keywords:	Beam forming networks, Beamforming, Channel estimation, Discrete Fourier transforms, Fading channels, Frequency estimation, Image processing, Millimeter waves, MIMO systems, Signal to noise ratio
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr. Nor Farahidah Za'bah
Date Deposited:	25 Aug 2020 16:08
Last Modified:	25 Aug 2020 16:08
URI:	http://irep.iium.edu.my/id/eprint/82412

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