Study of Joint MMSE Consensus and Relay Selection Algorithms for Distributed Beamforming
For wireless sensor networks, this work improves distributed beamforming performance through joint optimization of consensus and relay selection.
This work proposes joint MMSE consensus and relay selection algorithms for distributed beamforming, achieving better performance than existing techniques in simulations.
This work presents joint minimum mean-square error (MMSE) consensus algorithm and relay selection algorithms for distributed beamforming. We propose joint MMSE consensus relay and selection schemes with a total power constraint and local communications among the relays for a network with cooperating sensors. We also devise greedy relay selection algorithms based on the MMSE consensus approach that optimize the network performance. Simulation results show that the proposed scheme and algorithms outperform existing techniques for distributed beamforming.