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Cognitive Networking
ECLT 5 8 2 0 P R ESENTATI ON
1 1 5 5071250 & 1 1 5 5084254
R I CKY TS UI & MI K E L AU ( G ROU P 5 )
1. Outline
1. Motivation of Cognitive Network (CN)
◦ Recapitulation of what we have learn in the lessons
2. Definitions
3. Architecture of CN and Characteristics
4. Failure Handling using cloud technology
5. Summary
6. Q&A Section
1.1 Motivation
◦ Objective – to improve QoS
◦ Failure handling
◦ system is volatile due to different physical environmental constraints
◦ Communication deadlock may be happened, which affect QoS
◦ Security control - More wireless connection is available,
confidential information may be stolen if message pass
through bad communication channel
◦ Increase number of mobile device
2. Definitions and Characteristics
Wikipedia- a new type of data network that makes use of cutting edge
technology from several research areas (i.e. machine learning, knowledge
representation, computer network, network management) to solve some
problems current networks are faced with.
Thomas et al - A cognitive network has a cognitive process that can perceive
current network conditions, and then plan, decide and act on those conditions.
The network can learn from these adaptations and use them to make future
decisions, all while taking into account end- to-end goals.
3. Framework of CN
3.1 Architecture of 5G era network - Cognitive and cloud Optimized Network
proposed by NOKIA
3.2 Characteristics
◦Heterogeneity
◦Openness
◦Security
◦Scalability
◦Failure Handling
◦Transparency
4.1 Failure Handling –
Hidden and exposed node problem
4.2 Failure Handling –
Hidden Terminal Problem
5. Summary
◦CN is a smart network, which could improve QoS by
considering the end-to-end goal of user and
selecting the best route
◦By use of Cognitive Domain (”Cloud )”, the objective
of improving QoS, failure handling, enhancing
security, etc. can achieved
Acknowledgement and source of photos
◦Lecturer Notes Chapter 9
◦Wikipedia
◦Cognitive Networks (Thomas et al, VA)
◦Cognitive networks (P. Rousu, University of Helsinki)
◦http://resources.alcatel-lucent.com/asset/200004
◦Solving Hidden Terminal Problem in Cognitive Networks
Using Cloud Technologies (Y. B. Reddy, Grambling State
University)
Q&A Section