Transcript Centre for Wireless Communications

networking group
Prof. Dr Savo G Glisic
Development
of strategies and
policies for ICT
research funds
based on national
needs and international
trends in research
and innovation
In the past
1900 Marconi model / entrepreneuer
Created the number of companies to implement his inventions
( Benz, Birdseye, Sikorsky,..)
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Thomas Edison
(Industrial research lab in West Orange, N.J)
Selling and licensing its patents
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Bell Labs model
Funded by the profit of large corporations
IBM, Xerox, HP, Intel
World War II/government focus on research funding
Radar, computing, electromrchanical cryptography, Manhattan Project
Cold War /similar to the above model
Internet model/government (DARPA) /industry/academia cooperation
Today focus on military applications
MCC model/ Microelectronics and Computer technology Corp.
Research lab funded by a consortium of member companies
Sharing expenses, risks and gains
Sillicon Valley model/universities, empowered graduates, venture capital
Copies aroun the worls, few successful
Today/ mostly academia funded by government
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Wireless internet infrastructure
for 3D Virtual Education
3D Virtual education is an active research area for
pedagogical studies.
Why study education for the 3D Wireless Internet

Students are mobile.

Lack of user friendly tools . Especially for content
creation & editing.

User predictable behavior. Students and teachers follow
timetables.This assists in behavioural and traffic
analysis for the 3D internet.

3D data files are large and increase as GPU and screen
resolution increases.
Education users in the 3D Wireless internet
Challenge
• Develop education programs using 3D technology
• Integrating 3D sensors, video, audio, sensor networks for
educational use.
• For example, its possible to use cheap sensors like
MS Kinect to create 3D graphical reconstructions of
3D objects.
Solutions
• Active research on pedagogical needs in education
• 3D User interface technology.
Using a Kinect for 3D reconstructio
Real-time storage and distribution of 3D data
Challenge
•
3D information (3D graphical assets, video ,audio)
consist of very large files.
•
3D information must be delivered in real-time
Solutions
•
3D Asset Distribution strategies
•
Cloud computing strategies for educational business
cases.
•
Security (privacy, authentication, DRM, anti-cheating)
•
Dynamic 3D data processing
Toy Virtual Education World
Wireless internet for 3D
Challenge
• Asymmetric data transmission (bulk communication at
beginning of a class, followed by low transmission levels)
• Low latency requirments
• Multiple media sources (graphics, video, audio, sensor
networks)
Solutions
• Reconfigurable networks
• Heterogeneous network architectures
• Low exposure networks
Courses on Networking
1. Mobile Telecommunication Systems
2. Communication Networks 1
3. Communication Networks 2
4. Basics of optimisation
Postgraduate Courses
http://www.cwc.oulu.fi/home/group_internetworking.html
1. Topology Control & Graph theory (7cr/12cp)
2. Cognitive Networks & Game theory (7cr/12cp)
3. Networks & Convex optimization theory(7cr/12cp)
4. QoS Management & Queuing theory(7cr/12cp)
5. Multiple Acccess & Markov Chain Theory(7cr/12cp)
6. Wireless Networks Information Theory (7cr/12cp)
7. Network Protocol Design (7cr/12cp)
8. Radio Resource Management(7cr/12cp)
9. Networks Architectures(7cr/12cp)(Sensor Networks,Ad Hoc
Networks,Mobile Networks,Cellular
Networks/LTE,WLAN/WiMAX/IEEE 802.XX)
10. Networks Security(7cr/12cp)
11. Cooperative and opportunistic networking(7cr/12cp)
12. Wireless Applications(7cr/12cp)
13. Sensor Networks(7cr/12cp)
14. Internet Economic(7cr/12cp)
15. Advanced course on Networks Optimization(7cr/12cp)
16. Advanced Routing & Network Coding(7cr/12cp)
17. Wireless Internet Core Network(7cr/12cp)
18. Networks Connectivity(7cr/12cp)
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multihop/multioperator/multitechnology (m3)
relaying/users and the base station BS
peer to peer connection between two users within the same cell.
Mobile clouds
mixture of cellular and ad hoc networks.
offload the traffic either through a femto cell or WLAN/heterogeneous networks.
multioperator
additional technologies
cooperative diversity
approximation of surface tessellation
technique used in conventional network information theory (Voronoi tessellation)
two dimensional MAC protocol/dynamic
the model resolution
Multioperator cooperation
Small cell
Network coding
Multitechnology
Channel defading
InSyNets
Phantom Networks
Multobjective terminal decision function
DTN/network coding/TCP for large files
2G/3G cognitive network
Dynamic Network Topology/Androids
Cognitive Internet
Low Exposure Networks
New Paradigms in Networking