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针对混合供电的点到点无线通信链路,研究在能量收集过程、数据到达过程以及衰落信道统计分布均未知的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从传统电网的能耗,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两种贪婪算法。
Aiming at the point-to-point wireless communication link with mixed power supply, the energy scheduling and adaptive transmit power of the transmitter are studied in the condition of energy collection process, data arrival process and unknown statistical distribution of fading channel. The purpose is to ensure that the communication system must Performance requirements minimize energy consumption from traditional grids, that is, efficiently utilize the energy of renewable energy sources. A low complexity dynamic algorithm is proposed based on Lyapunov optimization. The theory proves that the algorithm can optimize the optimization target infinitely and optimally, and ensure the maximum data delay does not exceed the user’s requirements. Simulation results show that the proposed algorithm outperforms the other two greedy algorithms in performance and data latency.