接收端带存储的及时远程估计
Timely Remote Estimation with Memory at the Receiver
AI总结：
本文研究接收端带缓冲区的远程估计系统，通过优化传输调度策略最小化基于信息年龄向量的估计误差，并证明缓冲区能提升非马尔可夫信源的估计性能。
摘要：
在本研究中，我们考虑一个远程估计系统，该系统基于通过无线信道传输的传感器数据来估计时变目标。由于传输错误，部分数据包无法到达接收端。为缓解这一问题，接收端使用缓冲区存储最近接收到的数据包，从而能够基于不完整的接收数据进行更准确的估计。我们的研究重点在于优化传输调度策略，以最小化估计误差，该误差被量化为与缓冲数据包相关联的信息年龄向量的函数。我们的结果表明，在接收端维持缓冲区能够为非马尔可夫信源带来更好的估计性能。
英文摘要：
In this study, we consider a remote estimation system that estimates a time-varying target based on sensor data transmitted over wireless channel. Due to transmission errors, some data packets fail to reach the receiver. To mitigate this, the receiver uses a buffer to store recently received data packets, which allows for more accurate estimation from the incomplete received data. Our research focuses on optimizing the transmission scheduling policy to minimize the estimation error, which is quantified as a function of the age of information vector associated with the buffered packets. Our results show that maintaining a buffer at the receiver results in better estimation performance for non-Markovian sources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
