COURSES

Cognitive Radio and Networking

5

ECTS Credits

Lecturers
  • prof. dr. Mihael Mohorčič
Programmes
  • None

Goals

This course will introduce students into the concept of using cognitive techniques in contemporary telecommunication systems. The emphasys will be on advanced techniques, architectures and procedures for improvement of radio spectrum efficiency and resource management, for contextaware utilisation of communication interfaces and for autonomous management of networks and services. The course objectives are to (1) introduce students with the concept of using cognitive techniques in wireless and radio networks, (2) present the basic architecture and functionalities of cognitive radio networks, (3) provide an overview of techniques and procedures used in cognitive radio and networks and (4) present the concept of autonomous network management. Students will develop the ability to solve independent research and development tasks in the field of cognitive radio and networking, including design, testing and performance evaluation of basic procedures used in cognitive radio and networks.

Curriculum

Introduction: cognition in communication systems, motivation for going cognitive, scope of cognitive functionality. Basic Concept of Cognitive Communications: software defined radio, cognitive radio, architecture and basic functionality of cognitive radio and networks, cognition cycle, knowledge representation. Cognitive Radio Networks: spectrum sensing, dynamic spectrum access, opportunistic spectrum access, spectrum sharing, radio resource management and radio environment management in heterogeneous wireless access networks, cross-layer design. Cognitive Networks: self-awareness (location, service, context, etc), autonomous network management, transport service composition. Standardisation and Research Challenges.

Obligations

Completed second-cycle studies in information or communication technologies or completed second-cycle studies in other fields with knowledge of fundamentals in the field of this course. Basic knowledge of mathematics, computer science and informatics is also requested.

Examination

Literature and references

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