Rectangular Concentration-Based Nanomachine Localization in Molecular Communication Networks With Unknown Emission Time

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Pub Date : 2023-08-08 DOI:10.1109/TMBMC.2023.3302798

Ajit Kumar;Akarsh Yadav;Sudhir Kumar

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Abstract

Localization of nanomachines is essential for optimal functionality, including optimizing transmission rates and detecting irregular cells. The sampling concentration received by the nanomachines can be used for this purpose. The localization based on received sampling concentration requires the emission time of molecules to improve the accuracy and establish synchronization among the nanomachine. In this paper, we derive the maximum likelihood estimation for localizing nanomachine in two scenarios, that is, known and unknown emission times. In contrast to the existing model, the proposed model considers a generic input (rectangular) concentration that can accommodate both non-zero emission duration and instantaneous emission, making it more practical for many applications. The model also considers multiple symbols and challenges like inter-symbol interference. Even with the rectangular input concentration, the proposed model achieves comparable individual localization performance to the impulse concentration. Additionally, the proposed model allows for joint estimation of location and emission time using correlated observations, making it a practical and generic solution for applications.

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发射时间未知的分子通信网络中基于矩形浓度的纳米机器定位

纳米机械的定位对实现最佳功能至关重要，包括优化传输速率和检测不规则细胞。纳米机械接收到的采样浓度可用于此目的。根据接收到的采样浓度进行定位需要分子的发射时间，以提高精度并建立纳米机器之间的同步。本文推导了在已知和未知发射时间两种情况下对纳米机械进行定位的最大似然估计。与现有模型相比，本文提出的模型考虑了通用输入（矩形）浓度，可同时容纳非零发射持续时间和瞬时发射，因此在许多应用中更加实用。该模型还考虑了多符号和符号间干扰等挑战。即使采用矩形输入浓度，所提出的模型也能实现与脉冲浓度相当的单个定位性能。此外，所提出的模型允许使用相关观测数据对位置和发射时间进行联合估计，使其成为一种实用的通用应用解决方案。

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来源期刊

IEEE Transactions on Molecular, Biological, and Multi-Scale Communications Mathematics-Modeling and Simulation

CiteScore

3.90

自引率

13.60%

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期刊介绍： As a result of recent advances in MEMS/NEMS and systems biology, as well as the emergence of synthetic bacteria and lab/process-on-a-chip techniques, it is now possible to design chemical “circuits”, custom organisms, micro/nanoscale swarms of devices, and a host of other new systems. This success opens up a new frontier for interdisciplinary communications techniques using chemistry, biology, and other principles that have not been considered in the communications literature. The IEEE Transactions on Molecular, Biological, and Multi-Scale Communications (T-MBMSC) is devoted to the principles, design, and analysis of communication systems that use physics beyond classical electromagnetism. This includes molecular, quantum, and other physical, chemical and biological techniques; as well as new communication techniques at small scales or across multiple scales (e.g., nano to micro to macro; note that strictly nanoscale systems, 1-100 nm, are outside the scope of this journal). Original research articles on one or more of the following topics are within scope: mathematical modeling, information/communication and network theoretic analysis, standardization and industrial applications, and analytical or experimental studies on communication processes or networks in biology. Contributions on related topics may also be considered for publication. Contributions from researchers outside the IEEE’s typical audience are encouraged.