Statistical Prediction Model for the HAPS Gateway Link and Fixed Satellite Service Interoperability at 5850---7075 MHz

  • Authors:
  • Marwah Yousif Ahmed;Zaid A. Shamsan;Tharek A. Rahman;Yousif A. Abdalla

  • Affiliations:
  • Wireless Communication Centre (WCC), Faculty of Electrical Engineering (FKE), Universiti Teknologi Malaysia (UTM), Skudai, Malaysia 81310;Communications and Computer Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen and Deanship of Academic Research, Al-Imam Muhammad ibn Saud Islamic Univers ...;Wireless Communication Centre (WCC), Faculty of Electrical Engineering (FKE), Universiti Teknologi Malaysia (UTM), Skudai, Malaysia 81310;Department of Electrical Engineering, College of Engineering and Applied Sciences, Al Ghurair University, Dubai Academic City, UAE

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

High altitude platform station (HAPS) is a new airborne technology suited in the stratosphere layer, which is expected to remain quasi-stationary while delivering a host of wireless services for the next generation of mobile and fixed devices. The theoretical basis behind the spectrum planning for this new emerging technology is classified under the worst case (WC) prediction model, which insures protection for existing services, but in contrast it deprives achieving spectrum efficiency. However, a new spectrum allocation for HAPS in the reliable band 5850---7075 MHz is on the table of the International Telecommunications Union (ITU) under the agenda item 1.20 of the World Radio Conference-2012 (WRC-12). In this article, a comprehensive intersystem interference transformation technique for the WC prediction model to the minimum coupling loss (MCL) approach is proposed to define the technical compatibility between HAPS and Fixed Satellite Service (FSS) gateways. In advance; the interference probability has been performed to investigate the impact on sharing constrains between systems; by using Monte-Carlo statistical simulation. The paper presents an accomplished statistical simulation model that has proved the ability to convey the interference probability into an unwanted range of parameters; which achieves practical, actual and optimum spectrum sharing.