Interference and Coverage Analysis in Coexisting RF and Dense TeraHertz Wireless Networks

06/15/2020
by   Javad Sayehvand, et al.
0

This paper develops a stochastic geometry framework to characterize the statistics of the downlink interference and coverage probability of a typical user in a coexisting terahertz (THz) and radio frequency (RF) network. We first characterize the exact Laplace Transform (LT) of the aggregate interference and coverage probability of a user in a THz-only network. Then, for a coexisting RF/THz network, we derive the coverage probability of a typical user considering biased received signal power association (BRSP). The framework can be customized to capture the performance of a typical user in various network configurations such as THz-only, opportunistic RF/THz, and hybrid RF/THz. In addition, asymptotic approximations are presented for scenarios where the intensity of THz BSs becomes large or molecular absorption coefficient in THz approaches to zero. Numerical results demonstrate the accuracy of the derived expressions and extract insights related to the significance of the BRSP association compared to the conventional reference signal received power (RSRP) association in the coexisting network.

READ FULL TEXT
research
12/19/2021

Mobility-Aware Performance in Hybrid RF and Terahertz Wireless Networks

Using tools from stochastic geometry, this paper develops a tractable fr...
research
08/10/2021

Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks

Using stochastic geometry tools, we develop a comprehensive framework to...
research
05/24/2019

Downlink Coverage and Rate Analysis of an Aerial User in Integrated Aerial and Terrestrial Networks

In this paper, the downlink coverage probability and average achievable ...
research
10/29/2022

IRS-Assisted RF-powered IoT Networks:System Modeling and Performance Analysis

Emerged as a promising solution for future wireless communication system...
research
03/17/2023

Comprehensive Analysis of Maximum Power Association Policy for Cellular Networks Using Distance and Angular Coordinates

A novel stochastic geometry framework is proposed in this paper to study...
research
08/21/2023

RADIANCE: Radio-Frequency Adversarial Deep-learning Inference for Automated Network Coverage Estimation

Radio-frequency coverage maps (RF maps) are extensively utilized in wire...
research
11/21/2021

A User Centric Blockage Model for Wireless Networks

This paper proposes a cascade blockage model for analyzing the vision th...

Please sign up or login with your details

Forgot password? Click here to reset