EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Signal Processing
Multiple peer-to-peer communications using a network of relays
IEEE Transactions on Signal Processing
General-rank beamforming for multi-antenna relaying schemes
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimization algorithms exploiting unitary constraints
IEEE Transactions on Signal Processing
Robust adaptive beamforming for general-rank signal models
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Distributed Space-Time Coding in Wireless Relay Networks
IEEE Transactions on Wireless Communications
Optimal Design of Non-Regenerative MIMO Wireless Relays
IEEE Transactions on Wireless Communications
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
On the power efficiency of sensory and ad hoc wireless networks
IEEE Transactions on Information Theory
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
Fading relay channels: performance limits and space-time signal design
IEEE Journal on Selected Areas in Communications
Grassmannian beamforming for MIMO amplify-and-forward relaying
IEEE Journal on Selected Areas in Communications
Multiple peer-to-peer communications using a network of relays
IEEE Transactions on Signal Processing
General-rank beamforming for multi-antenna relaying schemes
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Hi-index | 35.69 |
In this correspondence, we study the problem of joint receive and transmit beamforming for a wireless network consisting of a transmitter, a receiver, and a relay node. The relay node is equipped with multiple antennas while the transmitter and the receiver each nses only one antenna. Our communication scheme consists of two phases: first the transmitter sends the information symbols to the relay. In the second phase, the relay re-transmits a linearly transformed version of the vector of the signals received at its multiple antennas. We introduce the novel concept of general rank beamforming which can be applied to our communication scheme. In our general rank beamforming approach, the relay multiplies the vector of its received signals by a general-rank complex matrix and retransmits each entry of the output vector on the corresponding antenna. Through maximizing the signal-to-noise ratio (SNR), we obtain a closed-form solution to the general rank beamforming problem. We also prove that for the case of statistically independent transmitter-relay (TR) and relay-receiver (RR) channels, the general rank beamforming approach results in a rank-one solution for the beamforming matrix regardless of the rank of the channel correlation matrices. Simulation results show that when applied to the case of statistically dependent TR and RR channels, our general rank beamforming technique outperforms the separable receive and transmit beamforming method by a significant margin.