In this paper, we consider an information update system where wireless sensor sends timely updates to the destination over a random blocking terahertz channel with the supply of harvested energy and reliable energy backup. The paper aims to find the optimal information updating policy that minimize the time-average weighted sum of the Age of information(AoI) and the reliable energy costs by formulating an infinite state Markov decision process(MDP). With the derivation of the monotonicity of value function on each component, the optimal information updating policy is proved to have a threshold structure. Based on this special structure, an algorithm for efficiently computing the optimal policy is proposed. Numerical results show that the optimal updating policy proposed outperforms baseline policies.

翻译：在本文中,我们考虑建立一个信息更新系统,让无线传感器通过随机封锁的特拉赫茨频道,通过供应收获的能源和可靠的能源备份,及时向目的地发送最新消息,以找到最佳信息更新政策,通过制定无限的Markov州决策程序,最大限度地减少信息时代和可靠能源成本的时间平均加权总和。随着每个组成部分价值功能的单一性衍生,最佳信息更新政策被证明有一个阈值结构。基于这一特殊结构,提出了高效计算最佳政策的算法。数字结果显示,最佳更新政策提出了优于基线政策。