Improving wireless connectivity in remote communities using the TV white space spectrum - ON-255

Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: Wire IE
Project Length: 6 months to 1 year
Preferred start date: 09/26/2019
Language requirement: English
Location(s): Richmond Hill, ON, Canada
No. of positions: 1

About the company: 

WireIE is an industry leader delivering reliable, scalable and secure networks for business to empower the underserved across Canada and the Americas. When existing solutions are inadequate because they are too slow, too expensive, unreliable or offer high latency, it impacts productivity and output, inhibiting the growth of entire communities. WireIE provides solutions to overcome constraints around geography, time and budget, which traditional networks can’t address.

WireIE owns and operates an agile high-availability private network in underserved markets, offering a minimum 99.9% service reliability guarantee. Our award-winning and certified network overcomes constraints around geography, time and budget, to break through barriers that traditional legacy networks cannot address.

Please describe the project.: 

This project aims to improve wireless connectivity in remote communities using the TV white space spectrum. The general methods of the project are as follows. We look forward to discussing detailed methods with the academic collaborator:

  • New radio technology and vendor selection based on theoretical and field trial analysis.
  • Theoretical studies to utilize different RF point to multipoint technologies, especially the TV white space spectrum. RF path profile, RF coverage and capacity analysis.
  • Interface with vendors and resources in the field
  • Field site survey and optimization

Required expertise/skills: 

This internship is best suited to students working in computer science, electrical engineering and radio frequency research. 

The intern needs expertise in radio frequency theory and design, computer science or electrical engineering.