论文标题
无线电动通信系统的AOI最佳关节采样和更新
AoI-optimal Joint Sampling and Updating for Wireless Powered Communication Systems
论文作者
论文摘要
本文表征了无线电动通信系统中信息时代（AOI）最佳政策的结构，同时考虑了源节点生成状态更新的时间和能源成本。特别是，对于单个源用途对，其中射频频率（RF）源将有关某些物理过程的状态更新发送到目标节点，我们最大程度地减少了目标节点的长期平均AOI。该问题被建模为Markov决策过程（MDP），其中，状态更新的生成时间，状态更新从源到目的地的传输以及无线能量传输（湿）被联合优化。在证明了与MDP相关的值函数的单调性属性之后，我们在分析上证明了AOI-Timal策略具有基于阈值的结构W.R.T.状态变量。我们的数值结果验证了分析结果，并揭示了状态变量对AOI最佳策略结构的影响。我们的结果还证明了系统设计参数对最佳可实现的平均AOI的影响以及我们提出的联合采样和更新策略W.R.T.的优势。生成政策。
This paper characterizes the structure of the Age of Information (AoI)-optimal policy in wireless powered communication systems while accounting for the time and energy costs of generating status updates at the source nodes. In particular, for a single source-destination pair in which a radio frequency (RF)-powered source sends status updates about some physical process to a destination node, we minimize the long-term average AoI at the destination node. The problem is modeled as an average cost Markov Decision Process (MDP) in which, the generation times of status updates at the source, the transmissions of status updates from the source to the destination, and the wireless energy transfer (WET) are jointly optimized. After proving the monotonicity property of the value function associated with the MDP, we analytically demonstrate that the AoI-optimal policy has a threshold-based structure w.r.t. the state variables. Our numerical results verify the analytical findings and reveal the impact of state variables on the structure of the AoI-optimal policy. Our results also demonstrate the impact of system design parameters on the optimal achievable average AoI as well as the superiority of our proposed joint sampling and updating policy w.r.t. the generate-at-will policy.
