Cognitive networks

Study programs

Teaching information

Teachers

prof. Ing. Juraj Gazda, PhD. doc. Ing. Gabriel Bugár, PhD. Ing. Matúš Čavojský

Schedule

Learning outcomes

The aim of the course is to provide students with basic knowledge about technologies applied in the field of cognitive communication systems at the level of concepts of their physical layer, line and network layer. The student will also gain basic knowledge of optimization theory (simplex method, etc.), agent modeling and game theory and the application of these methods in KRS.

Course outline

(1) Basic model of cognitive radio network. Significance of individual transmitter and receiver blocks. Cognitive radio network application in the context of WLAN, WMAN and WRAN technologies, description of standards IEEE 1900.1, IEEE 1900.3, IEEE 1900.A, IEEE 802.22 (2) Concept of software-defined radio as a basic platform for cognitive radio networks (transmission systems with adaptive modulation and power parameters). (3) Principle of dynamic frequency allocation in cognitive radio networks (basic principle and importance of spectrum monitoring, optimization of free frequency bands in order to increase efficiency and capacity of the frequency band) (4) Cooperation and individualism of primary and secondary users in the cognitive radio network (advantages , disadvantages and impact on cognitive radio network infrastructure) (5) Selected methods of digital signal processing used in frequency spectrum monitoring (adapted filtering, energy detection and detection based on cyclostationarity of the transmitted signal) (6) Introduction to linear programming and game theory, application of selected algorithms of game theory and linear programming (eg Knapsack's algorithm) in cooperative and non-cooperative monitoring of the frequency spectrum (7) Distribution and management of the frequency spectrum in cognitive radio networks, basic concepts, meaning of individual entities (spectrum policy server, primary new user, secondary user). (8) Optimization of frequency spectrum distribution in terms of transmission power between individual primary / secondary users, impact on the overall QoS of the cognitive radio network using game theory and agent modeling. (9) Agent modeling of spectrum distribution, advantages and disadvantages in comparison with game theory (10) Trading and pricing of frequency spectrum in cognitive radio networks (online auctions, negotiation and free trade)

Completion conditions

Assessment and completion of the course: Credit test and examination Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%. To obtain the credit, min. 21 points out of 40 points. The student will obtain this evaluation on the basis of the evaluation of continuous tests focused on solving examples from the field of cognitive radio networks (KRS). Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%. A minimum of 31 points out of a total of 60 points is required to obtain the exam. The exam consists of a presentation and a discussion of the study prepared on a given topic in written form and an oral part of the exam (theoretical knowledge from KRS). Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)

Recommended literature

[1] Hossain, E.-Nyiato, D.: Dynamic Spectrum Access and Management in Cognitive Radio Networks. Cambridge, 2009. [2] Khattab, A. – Perkins, D.: Cognitive Radio Networks, from Theory to Practice. Springer, 2011 [3] Kwang. Ch. – Prasad, R.: Cognitive Radio Networks. Wiley, 2011 [4] Sklar, B.: Digital Communications. Prentice Hall, New Jersey, 2001.

Notes

To successfully complete the course, it is necessary to obtain a credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.

Grade distribution

Total graded students: 15