Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals under Nonideal Circuit Power Consumption

This paper develops a novel approach to obtain energy-efficient transmission schedules for delay-limited bursty data under nonideal circuit power consumption. Assuming a priori knowledge of packet arrivals, deadlines, and channel realizations, we show that the problem can be formulated as a convex program. For both time-invariant and time-varying fading channels, it is revealed that the optimal transmission between any two consecutive channel or data state changing instants, termed epoch, can only take one of the three strategies: i) no transmission; ii) transmission with an energy-efficiency (EE)-maximizing rate over part of the epoch; or iii) transmission with a rate greater than the EE-maximizing rate over the whole epoch. Based on this specific structure, efficient algorithms are then developed to find the optimal policies that minimize the total energy consumption with low complexity. The proposed approach can provide the optimal benchmarks for practical schemes designed for transmissions of delay-limited data arrivals and can be employed to develop efficient online scheduling schemes, which require only causal knowledge of data arrivals and deadline requirements