Joint Channel and Antenna Modeling for Magnetic Induction Communication in Inhomogeneous Media
Joint Channel and Antenna Modeling for Magnetic Induction Communication in Inhomogeneous Media
复制标题
DOI：
10.1109/ojcoms.2020.3026952
复制
发表时间：
2020
影响因子：
7.9
通讯作者：
Hongzhi Guo;Albert Aninagyei Ofori
中科院分区：
文献类型：
--
作者：
Hongzhi Guo;Albert Aninagyei Ofori
磁感应通信(MIC)在极端环境下表现出高穿透效率和低传播损耗。它用于地下和水下环境，以实现使用地面无线技术无法实现的关键应用。本文研究了发射机和接收机在两种不同介质中的非均匀环境下MIC的信道和天线模型。这个问题有大量的实际应用，例如在空气中使用无线设备与土壤、水、墙壁和人体中的无线传感器进行通信。本文提出了一种考虑周围环境不均匀的联合信道天线模型。建立和评估了精确的全波模型和近场近似模型，以显示这种新的无线技术的特点以及现有解决方案的局限性。以与井下传感器的通信为例，结果表明MIC的路径损耗强烈依赖于传播介质，这与地面环境下基于电磁波的无线通信有很大的不同。此外，我们还发现，由于通过边界的传输系数不同，非均匀介质中的MIC信道表现出非互易性。此外，当载波频率足够低时，边界可以忽略。该模型为非均匀极端环境下的无线传感器网络设计提供了一种工具。
Magnetic induction communication (MIC) demonstrates high penetration efficiency and low propagation loss in extreme environments. It is used in underground and underwater environments to enable critical applications that cannot be achieved by using terrestrial wireless techniques. This article studies the channel and antenna modeling for MIC in inhomogeneous environments, where a transmitter and a receiver are in two different media. This problem finds a large number of practical applications such as communicating with wireless sensors in the soil, water, walls, and the human body using a wireless device in the air. This article develops a joint channel and antenna model considering the inhomogeneity of the surrounding environments. An exact full-wave model and a near field approximation model are developed and evaluated to show the characteristics of this novel wireless technique as well as the limitations of existing solutions. Using the communication with underground sensors as an example, the results show that the path loss of MIC strongly depends on the propagation media which is drastically different from electromagnetic wave-based wireless communications in terrestrial environments. Also, we find that the MIC channel in inhomogeneous media exhibits non-reciprocity due to different transmission coefficients through the boundary. Moreover, the boundary can be neglected when the carrier frequency is sufficiently low. The developed model provides a tool to design wireless sensor networks in inhomogeneous extreme environments.