Abstract:
Wireless communications are fast evolving to suit the increasing demand for multimedia
services in a variety of deployment situations, including WPANs, sensor networks,
WLANs, and satellite systems. In order to handle attenuation, noise, interference, and
multipath effects and maintain the dependability and effectiveness of wireless networks,
this evolution calls for strong models and mitigation techniques. Propagation loss and
attenuation have a substantial impact on wireless communication by diminishing signal
strength over distance and under varied environmental circumstances, demanding
appropriate mitigation measures to ensure reliable network performance and coverage.
It is essential to comprehend these phenomena in order to improve wireless communication
systems’ resilience and optimize signal propagation.
This research enhances the simulation accuracy of wireless communication technologies
such as WiFi, WiMAX, mmWave, and THz under varying atmospheric conditions
by incorporating ITU-R standards P.676-13, P.833-10, and P.840-9 into the NS-3 network
simulator. The current models in NS-3 fail to sufficiently capture atmospheric
attenuations such as gases, vegetation, clouds, and fog, which can significantly impair
communication performance, especially in critical applications. To address this, the
proposed solution involves a detailed integration of the specified ITU-R standards into
NS-3, enabling precise simulations of atmospheric effects on wireless communications.
The study aims to provide a comprehensive evaluation of how atmospheric conditions
affect the performance of various wireless technologies by simulating real-world scenarios
that reflect the unique climatic conditions of Pakistan, potentially applicable
globally. Objectives include accurately implementing ITU-R recommendations in NS-
3 to simulate atmospheric attenuations; conducting extensive simulations to assess key
performance indicators like signal strength, specific attenuation, and RSSI; identifying
performance thresholds where atmospheric conditions begin to significantly degrade
communication. With implications for network architecture and technology deployment,
the study offers insights into network resilience and suggests adaptive ways to
optimize wireless communication systems for a variety of environmental circumstances.
