Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 por consumption by jointly selecting proper relays and the por allocations at the base station as ll as the selected relays. To solve the formulated problem that is nonetheless nonlinear in nature, a two-step iterative algorithm is investigated for por 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.
['Zhi Chen', 'Pin-Han Ho', 'James She', 'Payam Padidar']
I am writing a research paper on a idea Energy optimal multi-resolution multicast with asynchronous relaying
[{"from": "human", "value": "I am writing a research paper on a idea Energy optimal multi-resolution multicast with asynchronous relaying"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 por consumption by jointly selecting proper relays and the por allocations at the base station as ll as the selected relays. To solve the formulated problem that is nonetheless nonlinear in nature, a two-step iterative algorithm is investigated for por 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."}]