Convex Optimization
Hot topic: physical-layer network coding
Proceedings of the 12th annual international conference on Mobile computing and networking
Distributed space-time coding for two-way wireless relay networks
IEEE Transactions on Signal Processing
Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals
IEEE Transactions on Signal Processing
Optimal training signals for MIMO OFDM 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
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
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Broadcast Capacity Region of Two-Phase Bidirectional Relaying
IEEE Transactions on Information Theory
Performance Bounds for Bidirectional Coded Cooperation Protocols
IEEE Transactions on Information Theory
IEEE Transactions on Communications
Channel estimation for OFDM modulated two-way relay networks
IEEE Transactions on Signal Processing
On channel estimation for OFDM based two-way relay networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Channel estimation and training design for two-way relay networks with power allocation
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
Joint optimization for one and two-way MIMO AF multiple-relay systems
IEEE Transactions on Wireless Communications
Channel estimation for two-way relay OFDM networks
EURASIP Journal on Wireless Communications and Networking - Special issue on physical-layer network coding for wireless cooperative networks
Two-way MIMO relay precoder design with channel state information
IEEE Transactions on Communications
LDPC-Coded Cooperation with Receive Multi-Antenna and Unknown CSI in the Destination
Wireless Personal Communications: An International Journal
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In this work, we consider the two-way relay network (TWRN) where two terminals exchange their information through a relay node in a bi-directional manner and study the training-based channel estimation under the amplify-and-forward (AF) relay scheme. We propose a two-phase training protocol for channel estimation: in the first phase, the two terminals send their training signals concurrently to the relay; and in the second phase, the relay amplifies the received signal and broadcasts it to both terminals. Each terminal then estimates the channel parameters required for data detection. First, we assume the channel parameters to be deterministic and derive the maximum-likelihood (ML) -based estimator. It is seen that the newly derived ML estimator is nonlinear and differs from the conventional least-square (LS) estimator. Due to the difficulty in obtaining a closed-form expression of the mean square error (MSE) for the ML estimator, we resort to the Cramér-Rao lower bound (CRLB) on the estimation MSE for design of optimal training sequence. Secondly, we consider stochastic channels and focus on the class of linear estimators. In contrast to the conventional linear minimum-mean-square-error (LMMSE) -based estimator, we introduce a new type of estimator that aims at maximizing the effective receive signal-to-noise ratio (SNR) after taking into consideration the channel estimation errors, thus referred to as the linear maximum SNR (LMSNR) estimator. Furthermore, we prove that orthogonal training design is optimal for both the CRLB- and the LMSNR-based design criteria. Finally, simulations are conducted to corroborate the proposed studies.