A Unification of LoS, Non-LoS and Quasi-LoS Signal Propagation in Wireless Channels

The modeling of wireless communications channels is often broken down into two distinct states, defined according to the optical viewpoints of the transmitter (TX) and receiver (RX) antennas, namely line-of-sight (LoS) and non-LoS (NLoS). Movement by the TX, RX, both and/or objects in the surrounding environment means that channel conditions may transition between LoS and NLoS leading to a third state of signal propagation, namely quasi-LoS (QLoS). Unfortunately, this state is largely ignored in the analysis of signal propagation in wireless channels. We therefore propose a new statistical framework that unifies signal propagation for LoS, NLoS, and QLoS channel conditions, leading to the creation of the Three State Model (TSM). The TSM has a strong physical motivation, whereby the signal propagation mechanisms underlying each state are considered to be similar to those responsible for Rician fading. However, in the TSM, the dominant signal component, if present, can be subject to shadowing. To support the use of the TSM, we develop novel formulations for the probability density functions of the in-phase and quadrature components of the complex received signal, the received signal envelope, and the received signal phase. Additionally, we derive an expression for the complex autocorrelation function of the TSM, which will be of particular importance in understanding and simulating its time correlation properties. Finally, we show that the TSM provides a good fit to field measurements obtained for two different bodycentric wireless channels operating at 2.45 GHz, which are known to be subject to the phenomena underlying the TSM.The State Research Agency (AEI) of SpainThe European Social Fund under grant RYC2020-030536-IAEI under grant PID2020-118139RB-I00

Shadowed Rician fading Matlab

The shadowed Rician fading model implemented in Matlab and was created using Matlab 2018a. Plots the theoretical and simulated, envelope and phase porbability density functions (PDFs). For more information this model please refer to Browning's paper (me): "The Rician Complex Envelope under Line of Sight Shadowing". Run main.m to start the GUI if Matlab is already installed. Alternatively if Matlab isn't installed, can run the installer from the build folder, which requires an internet connection to download the required files. The input K accepts values in the range 0.001 to 50. The input m accepts values in the range 0.001 to 50. The input \hat{r} accepts values in the range 0.5 to 2.5. The input \phi accepts values in the range -pi to pi. Note MATLAB code here is associated with the fading model presented in Chapter 3 of thesis which is linked