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This paper proposes a novel channel estimation method, and a cluster-basedopportunistic scheduling policy, that enhances the efficiency of wirelessenergy transfer in a system consisting of multiple energy receivers (ERs).Firstly, in the training stage, the energy transmitter (ET) obtains a set ofRSSI feedback values from all ERs, and these values are used to estimate thechannels between the ET and all ERs. Next, based on the channel estimates, theERs are grouped into clusters, and the cluster that has its members closest toits centroid in phase is picked. This cluster will be given priority, and thebeamformer that maximizes the minimum harvested energy among all ERs in theselected cluster is found by solving a convex optimization problem. Thisbeamformer is used to transfer energy to the ERs using maximum ratio transmitbeamforming. All ERs have the same chance of being selected regardless of theirdistances from the ET, and hence, this scheduling policy can be considered tobe opportunistic as well as fair. It is shown that the proposed method achievessignificant performance gains.

Opportunistic Wireless Energy Beamforming using RSSI Feedback