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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