Iterative tracking the minimum of overall energy consumption in OFDMA systems

Although energy efficiency of communication systems has been studied for years, minimizing overall energy consumption of OFDMA downlink systems is still a challenge. In view of usual implementations, in this paper the energy consumption of control processor, specific circuit and analog front-end are jointly minimized, with algorithm complexity, resource scheduling, coding rate and modulation order as optimization variables. Due to the optimization algorithm executed in control processor determines energy consumption in other components, a way based on iterative algorithms is proposed to track the minimum of entire system energy consumption. In the case study, we design a genetic algorithm and demonstrate the effective tracking based on practical parameters, which implies the proposed iterative tracking is applicable to and ready for advanced cellular systems such 3GPP LTE.