Cognitive Communication Networks

Course Description

Cognitive communication networks: terminology, definitions and requirements. Concepts and frameworks for cognitive networks. Knowledge representation in communication networks. Cognitive network architectures and use cases. Control plane of communication networks. Autonomous management of communication networks. Self-aware and self-organizing communication networks. Cognitive optical switching technologies. Cognitive optical networks. Software-defined networking (SDN) and use cases for cognitive SDN. Fifth generation communication networks and cognitive management.

Learning Outcomes

Explain basic features and architectures of cognitive communication networks.
Distinguish and describe techniques for knowledge representation in communication networks.
Describe basic operation and protocols of the control plane in communication networks.
Explain basic features of autonomous management for communication networks.
Describe architecture and basic operation of cognitive optical networks.
Explain concepts and technologies of software-defined networking.
Describe basic features of technologies for implementation of cognitive communication networks.

Forms of Teaching

Lectures

Presentation of the selected content.

Exams

Written and oral exam.

Laboratory Work

Practical assignments.

Consultations

Weekly time slot and per the appointment, with a prior announcement.

Seminars

Standalone treatment of the chosen topics.

Grading Method

By decision of the Faculty Council, in the academic year 2019/2020. the midterm exams are cancelled and the points assigned to that component are transferred to the final exam, unless the teachers have reassigned the points and the grading components differently. See the news for each course for information on knowledge rating.

	Continuous Assessment		Exam
Type	Threshold	Percent of Grade	Threshold	Percent of Grade
Laboratory Exercises	20 %	15 %	20 %	15 %
Class participation	0 %	5 %	0 %	5 %
Seminar/Project	40 %	15 %	40 %	15 %
Mid Term Exam: Written	0 %	30 %	0 %
Final Exam: Written	0 %	25 %
Final Exam: Oral		10 %
Exam: Written			0 %	55 %
Exam: Oral				10 %

Week by Week Schedule

Cognitive communication networks: terminology, definitions and requirements.
Fundamental concepts and frameworks for cognitive networks, cross-layer protocol interaction.
Knowledge representation: techniques and applications in communication networks.
Cognitive network architectures, use cases for wired and wireless networks.
Control plane of communication networks: technologies and protocols.
Autonomous management of communication networks: basic features and application examples.
Self-aware and self-organizing communication networks.
Mid-term exam.
Cognitive optical switching technologies.
Optical transport network (OTN): terminology, concepts and network architecture.
Cognitive optical networks.
Software-defined networking (SDN): concepts, architecture and technologies.
Use cases for cognitive SDN: inter data centre networking, OTN.
Fifth generation communication networks: requirements, virtualization, cognitive management.
Final exam.