Energy Harvesting Wireless Networks

Ultra-Dense LEO Satellite-based Communication Systems: A Novel Modelling Technique

Mustafa Kishk, Assistant Professor Maynooth University, Electronic Engineering Department

Jul 20, 16:00 - 17:00

B1 L3 R3119

Stochastic Geometry Energy Harvesting Wireless Networks UAV-enabled Communication Systems

In this talk, we discuss a recently proposed mathematical framework that enables tractable analysis of LEO satellite-enabled communication systems while capturing the influence of satellites’ numbers and altitudes as well as the spatial distribution of earth stations. Firstly, we describe how the stochastic geometry-based framework is modeled and discuss its accuracy. Next, we provide a detailed example of where this framework can be used for coverage analysis. Furthermore, we discuss how this framework can be used to study routing and end-to-end latency analysis in such networks. Realistic values from existing constellations, such as OneWeb and Starlink, are further used as case studies in this talk.

Mustafa Kishk

Postdoctoral Research Fellow, Electrical and Computer Engineering

Stochastic Geometry Energy Harvesting Wireless Networks UAV-enabled Communication Systems Laser Communications Physical layer security

Mustafa Kishk is a Postdoctoral Research Fellow under the supervision of Prof. Slim Alouini at the Communication Theory Lab in King Abdullah University of Science and Technology (KAUST). Education and Early Career Mustafa Kishk received his Ph.D. in Electrical Engineering from the Bradley department of Electrical and Computer Engineering at Virginia Tech under the supervision of Prof. Harpreet Dhillon in 2018. He received his B.Sc. and M.S. degree in Electronics and Electrical Communications Engineering from Cairo University, Egypt, in 2013 and 2015 respectively. Research Interest Mustafa’s

Abeer AlAmoudi

Ph.D. Student, Electrical and Computer Engineering

body area networks NOMA Energy Harvesting Wireless Networks

Education & Early Career Abeer Alamoudi received the B.Sc. degree in electrical and computer engineering from Effat University, Jeddah, Saudi Arabia, in 2019. In 2021, she received the M.Sc. degree in electrical and computer engineering from King Abdullah University of Science and Technology (KAUST), where she is currently pursuing the Ph.D. degree with the Communications and Computing Systems Laboratory. Research Interests Abeer Alamoudi's research orbit around Human Body communications (HBC) and Internet of Bodies (IoB). Mainly, she is focused on establishing self-sustainable IoB sensor