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An Extended Kalman Filter for Distance Estimation and Power Control in Mobile Molecular Communication
IEEE Transactions on Communications ( IF 7.2 ) Pub Date : 5-23-2022 , DOI: 10.1109/tcomm.2022.3177243
Dongliang Jing 1 , Yongzhao Li 2 , Andrew W. Eckford 3
Affiliation  

In this paper, we consider a mobile molecular communication (MC) system consisting of two mobile nanomachines, a transmitter and a receiver, propelled by a positive drift velocity and Brownian motion in a realistic blood-vessel-type flow regime. Considering the nonlinear movement of the nanomachines, an extended Kalman filter is employed to estimate the distance from the transmitter. Furthermore, based on the predicted distance, to keep the number of received molecules for bit 1 at a stable level, we employ power control on the number of transmitted molecules based on the distance between the transmitter and the receiver and the residual molecules in the channel from the previous transmission. Finally, the optimal detection threshold is obtained by minimizing the error probability. It is verified that a fixed optimal detection threshold can be effective for the power control scheme in the mobile MC. The bit error rate (BER) performance of our scheme is verified via simulation results.

中文翻译:


用于移动分子通信中距离估计和功率控制的扩展卡尔曼滤波器



在本文中,我们考虑了一种移动分子通信(MC)系统,该系统由两个移动纳米机器、一个发射器和一个接收器组成,由真实血管型流动状态中的正漂移速度和布朗运动推动。考虑到纳米机器的非线性运动,采用扩展卡尔曼滤波器来估计距发射器的距离。此外,根据预测的距离,为了将第1位接收到的分子数量保持在稳定水平,我们根据发射器和接收器之间的距离以及通道中的剩余分子对发射分子的数量进行功率控制从之前的传输。最后通过最小化错误概率得到最优检测阈值。验证了固定最优检测阈值对于移动MC中的功率控制方案是有效的。我们的方案的误码率(BER)性能通过仿真结果得到验证。
更新日期:2024-08-26
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