Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an energy-efficient optimal por control policy with finite discrete inputs in the presence of statistical quality of service (QoS) limitations. In particular, an optimization problem is formulated to maximize the energy efficiency (EE) of the system, which is defined as the ratio of the effective capacity achieved with finite discrete inputs to the total por consumption. The circuit por consumption is explicitly considered in the total por expenditure. Subsequently, the optimal por control is derived using fractional programming. The resulting optimal por control strategy is further analyzed in two limiting cases, namely, the extremely stringent QoS constraints and looser QoS constraints. Through numerical results, the EE attained with the proposed optimal por control policy and constant por scheme is compared. Also, the effects of QoS constraints and signaling distribution on the maximum achievable EE are evaluated.
['Gozde Ozcan', 'M. Cenk Gursoy']
I am writing a research paper on a idea Energy-efficient power control with finite discrete inputs under quality of service constraints
[{"from": "human", "value": "I am writing a research paper on a idea Energy-efficient power control with finite discrete inputs under quality of service constraints"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an energy-efficient optimal por control policy with finite discrete inputs in the presence of statistical quality of service (QoS) limitations. In particular, an optimization problem is formulated to maximize the energy efficiency (EE) of the system, which is defined as the ratio of the effective capacity achieved with finite discrete inputs to the total por consumption. The circuit por consumption is explicitly considered in the total por expenditure. Subsequently, the optimal por control is derived using fractional programming. The resulting optimal por control strategy is further analyzed in two limiting cases, namely, the extremely stringent QoS constraints and looser QoS constraints. Through numerical results, the EE attained with the proposed optimal por control policy and constant por scheme is compared. Also, the effects of QoS constraints and signaling distribution on the maximum achievable EE are evaluated."}]