By Topic

Study of Segment Training Based Individual Channel Estimation for Two-Way Relay Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shun Zhang ; State Key Lab. of Integrated Services Networks, Xidian Univ., Xi''an, China ; Feifei Gao ; Yun-Hui Yi ; Chang-Xing Pei

In this letter, we design a segment training based individual channel estimation (STICE) scheme in the classical three-node it amplify-and-forward two-way relay network (TWRN). We resort to linear minimum-mean-square-error (LMMSE) estimators to achieve the in-channel estimation without sign ambiguity through two consecutive segments. We derive the mean-square-error (MSE) of the individual channel estimation, from which the optimal training and the optimal relay's power allocation are obtained. Numerical results are provided to corroborate the provided studies.

Published in:

Communications Letters, IEEE  (Volume:17 ,  Issue: 2 )