19 research outputs found
A Generalized Statistical Model for THz wireless Channel with Random Atmospheric Absorption
Current statistical channel models for Terahertz (THz) wireless communication
primarily concentrate on the sub-THz band, mostly with - and
Gaussian mixture fading distributions for short-term fading and deterministic
modeling for atmospheric absorption. In this paper, we develop a generalized
statistical model for signal propagation at THz frequencies considering random
path-loss employing Gamma distribution for the molecular absorption
coefficient, short-term fading characterized by the
--- distribution, antenna misalignment errors, and
transceiver hardware impairments. The proposed model can handle various
propagation scenarios, including indoor and outdoor environments,
backhaul/fronthaul situations, and complex urban settings. Using Fox's
H-functions, we present the probability density function (PDF) and cumulative
distribution function (CDF) that capture the combined statistical effects of
channel impairments. We analyze the outage probability of a THz link to
demonstrate the analytical tractability of the proposed generalized model. We
present computer simulations to demonstrate the efficacy of the proposed model
for performance assessment with the statistical effect of atmospheric
absorption.Comment: This work has been submitted to IEEE for possible publcatio
Statistical Results of Multivariate Fox-H Function for Exact Performance Analysis of RIS-Assisted Wireless Communication
Existing research provides statistical results on the sum of single-variate
Fox-H functions to analyze the performance of diversity receivers and
reconfigurable intelligent surfaces (RIS) based wireless systems. There is a
research gap in exact performance analysis when more than a single-variate
Fox-H function represents the statistical characterization of wireless systems.
In this paper, we propose a novel approach to obtain the distribution of the
sum of independent and non-identically distributed (i.ni.d) random variables
characterized by the multivariate Fox-H function. Further, we develop a general
framework for an exact analysis of the ergodic capacity when the multivariate
Fox-H function characterizes the statistics of signal-to-noise ratio (SNR). We
apply the derived results to conduct an exact performance analysis of outage
probability and ergodic capacity, taking an example of RIS-assisted
communication over Rician fading channels with phase errors. We conduct
computer simulations to validate the exact analysis and demonstrate performance
of the RIS-assisted system under various practically relevant scenarios for a
better performance assessment