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The paper studies the scenario of wireless multicast with a single transmitter and a relay that jointly deliver successively refined (or multi-resolution) sources to multiple receivers. By taking the end-To-end mean square error distortion (EED) as the performance metric, the problems of power allocation at the transmitter and relay are formulated. Due to nonlinearity of the formulations, a generalized programming algorithm is developed to obtain near optimal solutions. Case studies are conducted to verify the proposed formulations and solution approaches. The results show the advantages of using a relay assisted multiresolution approach. © 2016 IEEE.

The paper investigates the scenario of wireless multicast with a single transmitter and multiple relays that jointly deliver successively refined (or multi-resolution) sources to multiple receivers. An asynchronous cooperative joint source-channel coding (JSCC) protocol is proposed, which can mitigate the complexity and difficulty in signal synchronization under the wireless multicast with cooperative relays. By considering the end-To-end mean square error distortion (EED), the problems of JSCC multicast are formulated to minimize the total power consumption by jointly selecting proper relays and the power allocations at the base station as well as the selected relays. To solve the formulated problem that is nonetheless nonlinear in nature, a two-step iterative algorithm is investigated for power allocations at all transmitters. Case studies are conducted to demonstrate the advantages of using the proposed JSCC in a relay-Assisted multi-resolution wireless multicast network. © 2016 IEEE.