Worst-case based robust distributed beamforming for relay networks

A robust distributed beamforming technique for half-duplex relay network is developed. With the mismatched channel state information (CSI) being available at the destination, the received minimum quality-of-service (QoS) is maximized subject to the constraints that the maximum of the individual relay transmitted powers is limited. This distributed beamforming problem is shown to be a quasi-convex problem and can be solved using second-order-cone programming (SOCP) along with a bisection search method. Simulation results demonstrate that the proposed method is robust to the imperfect knowledge of the CSI and guarantees no relay power outage.