PROJECT TITLE :

Energy Minimization For Multiresolution Multirelay Multicast Networks - 2016

ABSTRACT:

This paper investigates the state of affairs of wireless multicast with a single transmitter and multiple relays that jointly deliver successively refined (or multiresolution) sources to multiple receivers. An asynchronous cooperative joint supply-channel coding (JSCC) protocol is proposed, geared toward mitigating the complexity and difficulty in signal synchronization in multicast. Taking end-to-finish mean square error distortion (EED) as the standard of service (QoS) live, the issues of JSCC transmission are formulated to reduce the total power consumption where each relay choice and power allocation at the base station (BS) and all the relays are jointly determined. To solve the formulated problem that's nonetheless nonlinear in nature, a two-step iterative algorithm is investigated for power allocations at all transmitters, where a sequential quadratic programming method is developed to find a strict local minimum. To cut back the computation complexity, a heuristic algorithm for relay choice is presented. Case studies are conducted to verify the proposed formulations and solution ways. We can demonstrate the advantages of using the proposed relay-assisted multiresolution approach.