Modeling of Mobile Communication Systems by Electromagnetic Theory in the Direct and Single Reflected Propagation Scenario

In this paper, we employ electromagnetic theory to analyze the phenomenon of signal propagation and thereby model mobile communication systems. Using electromagnetic theory is different from conventional modeling techniques applied in communication engineering, the advantage being that a more in-depth and accurate model can be provided. This is because the electromagnetism-based model exactly measures the electromagnetic behavior of a signal and hence, more details of the ambient environment are involved in the modeling procedure. However, it should not be tendentiously ignored that the disadvantage is also obvious. Because superabundant details should be involved, this model is sometimes inefficient and even impractical. To investigate this innovative modeling technique in more detail, we provide a simplified propagation scenario through only considering direct and single reflected paths between the transmitter and the receiver. By means of this special case study, the pros and cons of electromagnetism-based modeling can be revealed extensively. A series of familiar concepts and jargons frequently referred to in wireless mobile communication are also interpreted in view of the electromagnetism-based modeling technique. More importantly, in this paper, the nature of signal transmission and reception in free space can be analyzed in depth by virtue of this modeling technique.

[1]  Sen Yang,et al.  MATLAB Based Simulation of the Efficiency of the Complex OFDM on Power Line Communication Technology , 2014, 2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control.

[2]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[3]  J. Ralph Johler,et al.  Propagation of the Low-Frequency Radio Signal , 1962, Proceedings of the IRE.

[4]  Shuping Dang,et al.  Relay technology for multi-carrier systems: A research overview , 2015, Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT).

[5]  John G. Proakis,et al.  Digital Communications , 1983 .

[6]  Herman Feshbach,et al.  A. Special theory of relativity , 2018, Relativistic Quantum Dynamics.

[7]  Zhihan Lv,et al.  Extending touch-less interaction on vision based wearable device , 2015, 2015 IEEE Virtual Reality (VR).

[8]  Robert Sobot Wireless Communication Electronics , 2012 .

[9]  David K. Cheng,et al.  On the simulation of Fraunhofer radiation patterns in the Fresnel region , 1957 .

[10]  Justin P. Coon,et al.  Combined bulk and per-tone relay selection in super dense wireless networks , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[11]  H. Hashemi,et al.  The indoor radio propagation channel , 1993, Proc. IEEE.

[12]  Constantine A. Balanis,et al.  Antenna Theory: Analysis and Design , 1982 .

[13]  P. C. Clemmow An Introduction to Electromagnetic Theory , 1973 .

[14]  Min Zhang,et al.  Literature Review of the Communication Technology and Signal Processing Methodology Based on the Smart Grid , 2015 .