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Developing the Canadian TV White Space Database

clarke-morton avatar
clarke-morton
11 diapositives · 244 Views · Nov 21, 2014

This seminar discusses the development of the Canadian TV White Space (WS) database, highlighting the transition to digital TV in Canada and the challenges of utilizing freed-up frequencies. Different approaches for accessing available frequencies, including channel sensing devices and a central geospatial database, are explored. Key milestones in the research timeline are presented, along with future work on database access performance, device prototypes, and security considerations. Participants will gain insight into the potential uses and management of TV WS in Canada.

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  1. A CAMIM Research Seminar5thJune, 2013, Pécs Developing the Canadian TV White Space Database Miguel Vargas Martin* Jarkko Paavola+ Khalil-El-Khatib**University of Ontario Institute of Technology +Turku University of Applied Sciences

  2. Contents A/ Background B/ Problem C/ Research conducted D/ Timeline E/ Future work

  3. A/ Background • Canada transitioned to digital TV in the fall of 2011 • The analogous frequencies freed up are called white spaces (WS) • In different geographical areas different frequencies are now available for use. • What use can be given to these frequencies? Digital TV signals

  4. B/ Problem • If a device wants to make use of the newly available frequencies, how does it know which channel to use?

  5. C/ Research conducted • Two general approaches to access free frequencies: • Channel Sensing Devices - The device would first listen to a particular frequency to see if it is being used and if not it would use it. • Available Frequency Database - A central geospatial database that maintains tables of the the available frequencies in various geographical regions.

  6. Geospatial database • General architecture

  7. Canadian database

  8. Database access • The PAWS protocol is designed to access the TVWS database • Can data be read or modified during transit? • What is the potential damage a rogue device can inflict? • How are the integrity and confidentiality of the database protected?

  9. D/ Timeline • Once upon a time… May 2012: Miguel and Khalil recruit masters’ + UG students Sep 2012: Miguel and Khalil recruit UG Capstone team Nov 2011: Jarkko visits UOIT Aug 2011: Jarkko introduces Miguel and Khalil to TVWS April 2012: Miguel and Khalil get NSERC grant Dec 2012: 1 master’s graduates Aug 2012: Raw DB is completed Oct 2012: Khalil visits TUAS

  10. E/ Future work • Comparative study of database access performance using simulations • Prototype database access using real devices • Security exploits

  11. UOIT student credits • Master: • Geoffrey Vaughan (IT Security) • Ola Ashour Mohammed (Electrical and Computer Engineering) • Bachelor of IT: • Arian Muhammad • Faisal Ilahie • Zachary de Lima • ZainKarmally