A subspace channel estimation method for IDMA in 5G systems
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Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Gmbh, Urban & Fischer Verlag
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
A novel hybrid subspace training method is presented for channel estimation in slow fading multipath Interleave Division Multiple Access (IDMA) channels for the future 5th Generation (5G) wireless systems. By using a small number of training symbols, the proposed estimator outperforms the conventional single-user channel estimator and does not require any additional knowledge than does the conventional estimator. (C) 2017 Elsevier GmbH. All rights reserved.
Description
Keywords
IDMA, 5G, PON, Intersymbol interference, Channel estimation
Journal or Series
Optik
WoS Q Value
Scopus Q Value
Volume
148
