NDLI: Weight design of AF MIMO relay system with perfect channel state information

Content Provider	IEEE Xplore Digital Library
Author	Taniguchi, T. Karasawa, Y. Nakajima, N.
Copyright Year	2009
Description	Author affiliation: Department of Electronic Engineering, Advanced Wireless Communication research Center (AWCC), The University of Electro-Communications (UEC), 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan (Taniguchi, T.; Karasawa, Y.) \|\| Department of Human Communication, Advanced Wireless Communication research Center (AWCC), The University of Electro-Communications (UEC), 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan (Nakajima, N.)
Abstract	In ITS (intelligent transport system), the communication quality could be degraded by the existence of shielding objects such as large vehicles and buildings. The relay-aided transmission is an effective solution to this problem which keeps the reliability of inter-vehicle and/or road-to-vehicle links which directly concern to the safety of the transportation. This paper considers the weight design problem of two-hop MIMO AF (amplify and forward) multiple relay system in which source, relays and destination are equipped with multiple antenna element. Assuming perfect CSI (channel state information), optimization methods are presented based on the maximum SNR (signal to noise ratio) criterion for three cases, variable relay weight with and without data sharing among relays, and fixed relay weight scenarios. Through computer simulations, the effectiveness, features and problems are investigated for each relaying strategy.
Starting Page	164
Ending Page	169
File Size	714471
Page Count	6
File Format	PDF
ISBN	9781424453467
e-ISBN	9781424453474
DOI	10.1109/ITST.2009.5399362
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-20
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	AF (amplify and forward) CSI (channle state information) Buildings relay eigenanalysis Intelligent structures Relays Degradation Intelligent vehicles MIMO Road safety Intelligent systems Channel state information Signal to noise ratio
Content Type	Text
Resource Type	Article

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