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BLAZEK, T. ZÖCHMANN, E. MECKLENBRÄUKER, C.
Original Title
Millimeter Wave Vehicular Channel Emulation: A Framework for Balancing Complexity and Accuracy
Type
journal article in Web of Science
Language
English
Original Abstract
We propose a general framework for the specification of a sparse representation of millimeter wave vehicular propagation channels and apply this to both synthetic data and real-world observations from channel sounding experiments. The proposed framework is based on the c-LASSO (complex Least Absolute Shrinkage and Selection Operator) which minimizes the mean squared error of the sparse representation for a given number of degrees of freedom. By choosing the number of degrees of freedom, we balance the numerical complexity of the representation in the channel emulation against its accuracy in terms of the mean squared error. A key ingredient is the choice of basis of the representation and we discuss two options: the Fourier basis and its projection onto a given subband. The results indicate that the subband-projected Fourier basis is a low-complexity choice with high fidelity for representing clustered channel impulse responses. Finally, a sequential estimator is formulated which enforces a consistent temporal evolution of the geometry of the interacting objects in the propagation environment. We demonstrate the performance of our approach using both synthetic data and measured 60 GHz vehicular channel traces.
Keywords
V2X communications; mmwave; channel emulation; Akaike information criterion; model order estimation; cluster channels
Authors
BLAZEK, T.; ZÖCHMANN, E.; MECKLENBRÄUKER, C.
Released
16. 11. 2018
Publisher
MDPI
ISBN
1424-8220
Periodical
SENSORS
Year of study
18
Number
11
State
Swiss Confederation
Pages from
1
Pages to
21
Pages count
URL
https://www.mdpi.com/1424-8220/18/11/3997
Full text in the Digital Library
http://hdl.handle.net/11012/180468
BibTex
@article{BUT153263, author="Thomas {Blazek} and Erich {Zöchmann} and Christoph {Mecklenbräuker}", title="Millimeter Wave Vehicular Channel Emulation: A Framework for Balancing Complexity and Accuracy", journal="SENSORS", year="2018", volume="18", number="11", pages="1--21", doi="10.3390/s18113997", issn="1424-8220", url="https://www.mdpi.com/1424-8220/18/11/3997" }