Networking group Prof. Dr Savo G Glisic Development of strategies and policies for ICT research funds based on national needs and international trends

networking group

Prof. Dr Savo G Glisic

Development of strategies and policies for ICT research funds based on nationalneeds and international trends in research and innovation

21.04.23 CWC | Centre For Wireless Communications 2

1900 Marconi model / entrepreneuerCreated the number of companies to implement his inventions ( Benz, Birdseye, Sikorsky,..)

In the past


Thomas Edison (Industrial research lab in West Orange, N.J)Selling and licensing its patents


Bell Labs modelFunded by the profit of large corporationsIBM, Xerox, HP, Intel

World War II/government focus on research fundingRadar, computing, electromrchanical cryptography, Manhattan Project

Cold War /similar to the above model

Internet model/government (DARPA) /industry/academia cooperationToday focus on military applications

MCC model/ Microelectronics and Computer technology Corp.Research lab funded by a consortium of member companiesSharing expenses, risks and gains

Sillicon Valley model/universities, empowered graduates, venture capitalCopies aroun the worls, few successful

Today/ mostly academia funded by government



















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 reconstruction

Real-time storage and distribution of 3D dataChallenge

• 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 Challenge

• Asymmetric data transmission (bulk communication at Asymmetric data transmission (bulk communication at

beginning of a class, followed by low transmission levels)beginning of a class, followed by low transmission levels)

• Low latency requirmentsLow latency requirments

• Multiple media sources (graphics, video, audio, sensor Multiple media sources (graphics, video, audio, sensor

networks)networks)

SolutionsSolutions

• Reconfigurable networksReconfigurable networks

• Heterogeneous network architecturesHeterogeneous network architectures

• Low exposure networksLow exposure networks

Courses on Networking1. 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.html1. 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)


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

Documents

Networking group Prof. Dr Savo G Glisic Development of strategies and policies for ICT research funds based on national needs and international trends