Simultaneous Estimation of Multi-Relay MIMO Channels

Mehrpouyan, H.; Blostein, S.D.; Ottersten, Björn

Reference : Simultaneous Estimation of Multi-Relay MIMO Channels


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/14736

Title :	Simultaneous Estimation of Multi-Relay MIMO Channels
Language :	English
Author, co-author :	Mehrpouyan, H. []
	Blostein, S.D. []
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2013
Main document title :	IEEE Global Telecommunications Conference (GLOBECOM)
Peer reviewed :	Yes
Audience :	International
ISBN :	IEEE
Event name :	IEEE Global Telecommunications Conference (GLOBECOM)
Event date :	from 9-12-2013-13-12-2013
Event organizer :	IEEE
Event place (city) :	Atlanta, GA
Event country :	USA
Abstract :	[en] This paper addresses training-based channel estimation in distributed amplify-and-forward (AF) multi-input multi-output (MIMO) multi-relay networks. To reduce channel estimation overhead and delay, a training algorithm that allows for simultaneous estimation of the entire MIMO cooperative network’s channel parameters at the destination node is proposed. The exact Cram´er- Rao lower bound (CRLB) for the problem is presented in closedform. Channel estimators that are capable of estimating the overall source-relay-destination channel parameters at the destination are also derived. Numerical results show that while reducing delay, the proposed channel estimators are close to the derived CRLB over a wide range of signal-to-noise ratio values and outperform existing channel estimation methods. Finally, extensive simulations demonstrate that the proposed training method and channel estimators can be effectively deployed in combination with cooperative optimization algorithms to significantly enhance the performance of AF relaying MIMO systems in terms of average-bit-error-rate.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/14736

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