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Titel: Compressed Sensing Channel Estimation for LTE-V
VerfasserIn: Chelli, Kelvin
Theodory, Ramzi
Herfet, Thorsten
Sprache: Englisch
Titel: 2nd International Conference on 5G for Ubiquitous Connectivity : 5gu 2018
Seiten: 13-24
Verlag/Plattform: Springer International Publishing AG
Erscheinungsjahr: 2020
Erscheinungsort: Cham
Freie Schlagwörter: High mobility
LTE-V
Doubly selective channels
Cognitive framework
Rake-matching pursuit
Channel estimation
DDC-Sachgruppe: 004 Informatik
621.3 Elektrotechnik, Elektronik
Dokumenttyp: Buchbeitrag
Abstract: The evolution of the LTE standard with Release-14 has introduced several changes in the physical layer with a goal of catering to the needs of Intelligent Transportation Systems (ITS). Some of the changes include the use of SC-FDMA, a modified pilot pattern and improved scheduling. Typical vehicular environments are characterized by a multipath channel that is temporally varying. Such a channel affects the performance of an underlying SC-FDMA system by introducing Inter-Carrier Interference (ICI). Additionally, the channel characteristics are dynamic, resulting in heterogeneous channel conditions with varying degrees of mobility. Channel estimation and equalization schemes are indispensable in overcoming the adverse ramifications of the channel by precisely parameterizing the channel through computationally feasible means. Here, an optimized channel characterization scheme that involves the Rake-Matching Pursuit (RMP) algorithm for the estimation of the so called doubly selective channels and the Least Squares (LS) scheme in low mobility conditions is suggested. A simple and low complex cognitive framework based on the Index of Dispersion is also proposed to switch between the two schemes based on channel conditions. By virtue of its merits, the proposed channel estimation scheme provides good results in heterogeneous channel conditions and with a complexity that remains relevant for consumer hardware. Finally, an evaluation platform in Matlab® that is LTE standard compliant is made available to the research community. (LTE Evaluation Platform: https://git.nt.uni-saarland.de/HiMo/SimTool_LTE.) It includes the proposed schemes for channel estimation along with the cognitive framework.
DOI der Erstveröffentlichung: 10.1007/978-3-030-22316-8_2
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-378643
hdl:20.500.11880/34245
http://dx.doi.org/10.22028/D291-37864
ISBN: 978-3-030-22315-1
978-3-030-22316-8
ISSN: 2522-8595
2522-8609
Datum des Eintrags: 7-Nov-2022
Fakultät: MI - Fakultät für Mathematik und Informatik
Fachrichtung: MI - Informatik
Professur: MI - Prof. Dr. Thorsten Herfet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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