Channel estimation and performance of mismatched decoding in wireless relay networks

Authors:
Duy H. N. Nguyen;Ha H. Nguyen
Affiliations:
Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada;Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

Citing 11
Cited 0

Matrix analysis

Matrix analysis
Convex Optimization

Convex Optimization
A novel power allocation scheme for distributed space-time coding

ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Space-time decoding with imperfect channel estimation

IEEE Transactions on Wireless Communications
Distributed Space-Time Coding in Wireless Relay Networks

IEEE Transactions on Wireless Communications
Channel Estimation for Amplify and Forward Relay Based Cooperation Diversity Systems

IEEE Transactions on Wireless Communications
Non-Coherent and Mismatched-Coherent Receivers for Distributed STBCs with Amplify-and-Forward Relaying

IEEE Transactions on Wireless Communications
On channel estimation and optimal training design for amplify and forward relay networks

IEEE Transactions on Wireless Communications - Part 2
Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks

IEEE Transactions on Information Theory
Using Orthogonal and Quasi-Orthogonal Designs in Wireless Relay Networks

IEEE Transactions on Information Theory
Fading relay channels: performance limits and space-time signal design

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a novel power allocation among the source and relays of wireless relay networks to minimize the mean-square error of the channel estimation when distributed space-time coding (DSTC) is applied. Both the maximum likelihood (ML) and minimum mean-square error (MMSE) estimations are considered. The impact of imperfect channel estimation on the error performance of DSTC is also analyzed, where it is proved that the mismatched decoding of DSTC is able to achieve the same diversity order as the coherent decoding of DSTC. Furthermore, when the optimal power allocation obtained in the training phase is applied to the transmission phase, the mismatched decoding is able to achieve the maximum diversity order as the coherent decoding.