IEEE Transactions on Signal Processing
Multiple peer-to-peer communications using a network of relays
IEEE Transactions on Signal Processing
Weighted cross-layer cooperative beamforming for wireless networks
IEEE Transactions on Signal Processing
Distributed beamforming with limited feedback in regenerative cooperative networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Power allocation in orthogonal wireless relay networks with partial channel state information
IEEE Transactions on Signal Processing
Optimal distributed beamforming for two-way relay networks
IEEE Transactions on Signal Processing
Filter-and-forward distributed beamforming in relay networks with frequency selective fading
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Improving wireless physical layer security via cooperating relays
IEEE Transactions on Signal Processing
Collaborative null-steering beamforming for uniformly distributed wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
SNR maximization and distributed beamforming in multiuser multi-relay networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Distributed beamforming in multiuser multi-relay networks with guaranteed QoS
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Downlink distributed beamforming through relay networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimization of power constrained multi-source uplink relay networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
General-rank beamforming for multi-antenna relaying schemes
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Distributed beamforming in relay-assisted multiuser communications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Power allocation in wireless relay networks with partial channel state information
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Performance analysis of relay channel estimation
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Joint receive-transmit beamforming for multi-antenna relaying schemes
IEEE Transactions on Signal Processing
Power allocation strategies for distributed space-time codes in two-way relay networks
IEEE Transactions on Signal Processing
Timing estimation and resynchronization for amplify-and- forward communication systems
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Sidelobe control in collaborative beamforming via node selection
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Two-way MIMO relay precoder design with channel state information
IEEE Transactions on Communications
EURASIP Journal on Advances in Signal Processing
Transmitter-receiver collaborative-relay beamforming by simulated annealing
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Mobile Networks and Applications
Wireless Communications & Mobile Computing
Robust Filter-and-forward Beamforming Design for Two-way Multi-antenna Relaying Networks
Mobile Networks and Applications
Hi-index | 35.74 |
In this paper, the problem of distributed beamforming is considered for a wireless network which consists of a transmitter, a receiver, and relay nodes. For such a network, assuming that the second-order statistics of the channel coefficients are available, we study two different beamforming design approaches. As the first approach, we design the beamformer through minimization of the total transmit power subject to the receiver quality of service constraint. We show that this approach yields a closed-form solution. In the second approach, the beamforming weights are obtained through maximizing the receiver signal-to-noise ratio (SNR) subject to two different types of power constraints, namely the total transmit power constraint and individual relay power constraints. We show that the total power constraint leads to a closed-form solution while the individual relay power constraints result in a quadratic programming optimization problem. The later optimization problem does not have a closed-form solution. However, it is shown that using semidefinite relaxation, this problem can be turned into a convex feasibility semidefinite programming (SDP), and therefore, can be efficiently solved using interior point methods. Furthermore, we develop a simplified, thus suboptimal, technique which is computationally more efficient than the SDP approach. In fact, the simplified algorithm provides the beamforming weight vector in a closed form. Our numerical examples show that as the uncertainty in the channel state information is increased, satisfying the quality of service constraint becomes harder, i.e., it takes more power to satisfy these constraints. Also our simulation results show that when compared to the SDP-based method, our simplified technique suffers a 2-dB loss in SNR for low to moderate values of transmit power.