Abstract: The problems of energy scheduling and adaptive transmission power were explored for a point to point wireless communication link, where, the transmitter is driven by hybrid energy sources. The problems are further constrained by the unknown information including 1) the energy harvesting process, 2) time-varying channel condition as well as 3) the statistics of dynamic/opportunistic data arrivals. To minimize the time average energy consumption from power grid over subject to a certain communication performance, i.e., utilizing efficiently the harvested energy, a new dynamic algorithm with low complexity was proposed based on Lyapunov optimization. Analysis shows that the proposed algorithm performs arbitrarily close to the optimal objective value, meanwhile ensures that the maximum time delay of the data queue would tolerate the data packets aggregated from the users' requirements. Simulations demonstrates that the proposed algorithm not only outperforms but also has smaller time delay than the other two greedy algorithms.

Key words: energy harvesting, energy scheduling, adaptive transmission power, hybrid energy sources, Lyapunov optimization