Artificial neural network based misorientation correction in molecular 4x4 MIMO systems

IF 2.9 4区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Nano Communication Networks Pub Date : 2024-09-12 DOI:10.1016/j.nancom.2024.100544

Erencem Ozbey, Yusuf Kagan Cicekdag, H. Birkan Yilmaz

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引用次数: 0

Abstract

MIMO systems in molecular communication are proposed and exhaustively investigated to increase the data rate. However, the misalignment problem between antennas decreases the performance of the system and has not been investigated adequately. This paper aims to correct the received signal in misaligned and distance-varying molecular 4x4 MIMO systems. By using multiple transmitter antennas and receivers, we can increase the data rate by utilizing higher-order modulation techniques that exploit spatial diversity. For the spatial modulation techniques, if there is a misalignment among the corresponding antennas, the signal quality degrades and decoding errors occur more frequently. Therefore, our main goal is to decode the received signal, while considering and compensating the misalignment of the system. To do so, we first estimate the misalignment along the rotation axis of our system and the distance between transmitter antennas and receivers. Then using these values, we process the received signal to eliminate the effects of misalignment. Additionally, we propose and investigate a method to detect active transmitter antennas that can be utilized for molecular index modulation under misalignment. We compare the performance of our proposed methods with the existing misalignment correction techniques.

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分子 4x4 MIMO 系统中基于人工神经网络的定向错误校正

为了提高数据传输速率，人们提出并详尽研究了分子通信中的多输入多输出系统。然而，天线之间的不对准问题会降低系统的性能，而且尚未得到充分研究。本文旨在纠正错位和距离变化的分子 4x4 MIMO 系统中的接收信号。通过使用多个发射天线和接收器，我们可以利用利用空间分集的高阶调制技术来提高数据传输率。对于空间调制技术，如果相应天线之间存在错位，信号质量就会下降，解码错误也会更频繁地出现。因此，我们的主要目标是对接收到的信号进行解码，同时考虑并补偿系统的失调。为此，我们首先要估算系统沿旋转轴的偏差以及发射天线与接收器之间的距离。然后利用这些值处理接收信号，以消除偏差的影响。此外，我们还提出并研究了一种检测有源发射天线的方法，该方法可用于错位情况下的分子指数调制。我们将所提方法的性能与现有的偏差校正技术进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nano Communication Networks Mathematics-Applied Mathematics

CiteScore

6.00

自引率

6.90%

发文量

期刊介绍： The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published. Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal.