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International Journal of Wireless and Microwave Technologies(IJWMT)

ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)

Published By: MECS Press

IJWMT Vol.8, No.3, May. 2018

Efficient Low-Overhead Channel Estimation for 5G Lens Based Millimeter-Wave Massive MIMO Systems

Full Text (PDF, 853KB), PP.42-57


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Author(s)

Imran Khan

Index Terms

mmWave;Beamspace;SD;Pilot;RF chain

Abstract

Beamspace MIMO performs beam-selection which can substantially reduce the number of power-consuming radio frequency (RF) chains without perceptible performance deterioration.  However, for capacity-approaching performance, accurate information of the beamspace-channel of large-size is required for beam-selection, which is contesting in case of little number of RF-chains. To overcome such problem, I proposed an efficient support-detection (SD) algorithm for channel-estimation with low pilot-overhead and short number of RF chains. The key idea of SD-algorithm is to divide the whole issue of beamspace channel-estimation into a series of sub-issues, where each of them considers only one sparse channel-component. The support of each channel component is detected reliably by deploying the sparse structure attributes of the beamspace-channel. The effect of this channel-component is eliminated from the whole channel-estimation issue. Thus, the sparse beamspace-channel can be estimated with low pilot-overhead. Simulation Results shows that the proposed schemes perform much better than the conventional compressed-sensing (CS) schemes.

Cite This Paper

Imran Khan," Efficient Low-Overhead Channel Estimation for 5G Lens Based Millimeter-Wave Massive MIMO Systems", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.8, No.3, pp. 42-57, 2018.DOI: 10.5815/ijwmt.2018.03.05

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