10.1109/GLOCOM.2007.763GLOBECOM - IEEE Global Telecommunications Conference4015-401

Cui, Tao

Gao, Feifei

Nallanathan, Arumugam

English

Caltech Authors - Main

On channel estimation and optimal training design for amplify and forward relay networks

In this paper, we provide a complete study on the training based channel estimation issues for relay networks that employ the amplify-and-forward (AF) transmission scheme. We first point out that separately estimating the channel from source to relay and re lay to destination suffers from many drawbacks. Then we provide a new estimation scheme that directly estimates the overall channels from the source to the destination. The proposed channel estimation well serves the AF based space time coding (STC) that was recently developed. There exists many differences between the proposed channel estimation and that in the traditional single input single out (SISO) and multiple input single output (MISO) systems. For example, a relay must linearly precode its received training sequence by a sophisticatedly designed matrix in order to minimize the channel estimation error. Besides, each relay node is individually constrained by a different power requirement because of the non-cooperation among all relay nodes. We study both the linear least-square (LS) estimator and the minimum mean-square-error (MMSE) estimator. The corresponding optimal training sequences, as well as the optimal precoding matrices are derived from an efficient convex optimization proces

Gao, F F

Cui, T

Nallanathan, A

King's Research Portal

Cuif, T.

Gao, F.

Nallanathan, A.

ScholarBank@NUS

Optimal training design for channel estimation in amplify and forward relay networks

In this paper, we study training based channel

estimation for relay networks using the amplify-and-forward

(AF) transmission scheme. We first point out that separately

estimating the channel from source to relay and the channel from

relay to destination incurs several problems. We then propose a

new estimation scheme that directly estimates the overall channel

from source to destination. The proposed channel estimation well

matches the AF based space time coding that was developed

recently. Both linear least-square estimator and minimum mean-square-error estimator are studied. The corresponding optimal

training sequences and the optimal precoding matrices are also

derived

Optimal Training Design for Channel Estimation in Amplify and Forward Relay Networks

Crossref

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On channel estimation and optimal training design for amplify and forward relay networks

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Caltech Authors - Main

King's Research Portal

ScholarBank@NUS

Caltech Authors - Main

Caltech Authors - Main

Caltech Authors - Main

Crossref