Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the broadcast channel with an energy harvesting transmitter equipped with an inefficient energy storage device. For this setting, the optimal offline por policy that maximizes the average ighted sum rate of the system is derived. It is observed that this policy has a double threshold structure, with piecewise constant thresholds determined by the energy harvesting process. The convexity of the capacity region for the energy harvesting broadcast channel for a finite deadline is established, showing that the ighted maximum sum-rate traces the boundary of the region. Next, the optimal online policy is found using dynamic programming, and it is observed that the solution has a double threshold structure as ll with state dependent thresholds. Lastly, a double threshold policy is proposed with fixed thresholds that performs near optimal with reduced complexity.
['Kaya Tutuncuoglu', 'Aylin Yener']
I am writing a research paper on a idea Energy harvesting broadcast channel with inefficient energy storage
[{"from": "human", "value": "I am writing a research paper on a idea Energy harvesting broadcast channel with inefficient energy storage"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  considers the broadcast channel with an energy harvesting transmitter equipped with an inefficient energy storage device. For this setting, the optimal offline por policy that maximizes the average ighted sum rate of the system is derived. It is observed that this policy has a double threshold structure, with piecewise constant thresholds determined by the energy harvesting process. The convexity of the capacity region for the energy harvesting broadcast channel for a finite deadline is established, showing that the ighted maximum sum-rate traces the boundary of the region. Next, the optimal online policy is found using dynamic programming, and it is observed that the solution has a double threshold structure as ll with state dependent thresholds. Lastly, a double threshold policy is proposed with fixed thresholds that performs near optimal with reduced complexity."}]