混合供电发射机的能量调度和自适应功率算法

针对混合供电的点到点无线通信链路,讨论了能量收集过程、数据到达过程以及衰落信道统计分布均未知情况下发射机的能量调度和自适应发送功率问题,目的是在保证通信系统一定性能的要求下最小化传统电网的能耗,即有效利用可再生能源的能量.基于Lyapunov优化提出一种低复杂度动态算法,理论证明了该算法可使优化目标无限趋于最优,同时保证最大数据时延不超过用户要求.仿真结果表明,提出的算法在性能和数据时延上都优于其他2种贪婪算法.

Energy Scheduling and Adaptive Transmission Power Algorithm for a Transmitter with Hybrid Energy Sources

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 complex-ity 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 da-ta queue would tolerate the data packets aggregated from the users' requirements. Simulations demon-strates that the proposed algorithm not only outperforms but also has smaller time delay than the other two greedy algorithms.