Prediction method to maintain QoS in weather impacted wireless and satellite networks

—Rain and snow can have a distorting effect on Ku and Ka bands signal fidelity resulting in excessive digital transmission errors. This loss of signal attenuation is commonly referred to as rain fade. Rain fade impacts the Quality of Service in wireless and satellite networks. A decision support system is therefore necessary for service providers to accurately predict rain fade and establish mitigation planning by adaptively selecting appropriate power level, coding and modulation schemes. This paper establishes an important component of the decision support system by adaptively computing rainfall rate and rain attenuation at any location on earth using ITU-R models combined with bi-linear interpolation and frequency extrapolation. We also introduce a novel method for accurately determining rain attenuation as a function of frequency based on proceeding results from prediction weather database, since rain attenuation is considered a dominant impairment for wireless signals [1]-[6]. F...

• Type: Conference
• Year: 2007
• Where: SMC
• Authors: Kamal Harb, Anand Srinivasan, Changcheng Huang, Brian Cheng
• Keywords: Control Systems, Decision Support System, Rain Attenuation, Rain Fade, SMC 2007