OPTIMAL ALTITUDE FOR UAV DATA COLLECTION OVER NOMA BACKSCATTER NETWORKS

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CARLETON WIRELESS SEMINAR SERIES

 

Wednesday, May 16, 2:00 pm

Carleton University, 4359 ME (Mackenzie Building), https://carleton.ca/campus/map/

 

 

OPTIMAL ALTITUDE FOR UAV DATA COLLECTION OVER NOMA BACKSCATTER NETWORKS

 

Amin Farajzadeh

MSc Student, Sabanci University, Turkey (Supervisor: Professor Ozgur Ercetin) Visiting Researcher, Carleton University

 

 

ABSTRACT: The recent evolution of ambient backscattering technology has the potential to provide long-range and low power wireless communications. In this work, we study the Unmanned Aerial Vehicle (UAV)-assisted backscatter networks where the UAV acts both as a mobile power transmitter and as an information receiver. We aim to maximize the number of successfully decoded bits while minimizing the UAV’s flight time by optimizing its altitude. Power-domain NOMA scheme is employed in the uplink. An optimization framework is presented to identify the trade-off between numerous Network parameters, such as UAV’s altitude, number of ground devices, and backscatter coefficients. Numerical results show that the optimal altitude is achievable for various network setups and impact of backscattering reflection coefficients on the maximum network throughput is significant.

 

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  • Carleton University
  • Ottawa, Ontario
  • Canada
  • Building: Mackenzie Building
  • Room Number: 4359 ME

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  • Co-sponsored by Halim Yanikomeroglu
  • Starts 14 May 2018 10:03 PM
  • Ends 16 May 2018 10:03 PM
  • All times are America/New_York
  • No Admission Charge
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