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Channel Estimation in Radiative Near Field Region of 6G Extremely Large MIMO SystemSUGANYA, T.   , INDIRA GANDHI, S. |
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Author keywords
channel estimation, compressed sensing, electromagnetic fields, linear antenna arrays, matching pursuit algorithms
References keywords
communications(16), mimo(14), estimation(13), channel(13), systems(10), communication(7), wave(6), terahertz(6), massive(6), large(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2024-08-31
Volume 24, Issue 3, Year 2024, On page(s): 69 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2024.03007
Web of Science Accession Number: 001306111400007
SCOPUS ID: 85203007503
Abstract
6G wireless communication employ Extremely Large Multiple Input Multiple Output (ELMIMO) antenna arrays at the Base Station (BS) to expand the Radiative Near Field Region (RNFR) boundary by several meters. The existing Channel Estimation (CE) schemes in the Far Field Region (FFR) and RNFR had shown poor estimation accuracy at RNFR distance up to 1 km. In order to address this problem, RNFR boundary range within which a spherical wave can exists is deduced. A sparse three-dimensional (3D) Polar Depth Domain (PDD) codebook matrix has been developed using a new Depth Domain (DD) with finite range for each depth applicable within the obtained RNFR boundary range. A novel Compressive Sensing (CS) based CE algorithm named Depth Domain Orthogonal Matching Pursuit algorithm (DDOMP) is developed using generated 3D PDD codebook matrix. The Normalized Mean Square Error (NMSE) performance of the proposed algorithm has been analyzed in terms of depth, Pilot Length (PL), and Signal to Noise Ratio (SNR). It has been found that the DDOMP algorithm improves the CE accuracy when compared to the existing FFR and NFR CE schemes. It significantly reduces pilot overhead too. The performance of the DDOMP CE scheme is validated by simulation results. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
