II4004 Cognitive Radio Communications Syllabus:
II4004 Cognitive Radio Communications Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
To enable the student to understand the evolving paradigm of cognitive radio communication and the enabling technologies for its implementation.
To enable the student to understand the essential functionalities and requirements in designing software defined radios and their usage for cognitive communication.
To expose the student to the evolving next generation wireless networks and their associated challenges.
UNIT I INTRODUCTION TO SDR
Definitions and potential benefits – software radio architecture evolution – foundations, technology tradeoffs and architecture implications – Antenna for Cognitive Radio.
UNIT II SDR ARCHITECTURE
Essential functions of the software radio – architecture goals – quantifying degrees of programmability – top level component topology – computational properties of functional components – interface topologies among plug and play modules, architecture partitions.
UNIT III INTRODUCTION TO COGNITIVE RADIOS
Marking radio self-aware, the cognition cycle – organization of congnition tasks – structuring knowledge for cognition tasks – Enabling location and environment awareness in cognitive radios – concepts, architecture, design considerations.
UNIT IV COGNITIVE RADIO ARCHITECTURE
Primary Cognitive Radio functions, Behaviors, Components, A–Priori Knowledge taxonomy, observe – phase data structures, Radio procedure knowledge encapsulation – components of orient, plan, decide phases, act phase knowledge representation, design rules.
UNIT V NEXT GENERATION WIRELESS NETWORKS
The XG Network architecture – spectrum sensing – spectrum management – spectrum mobility, spectrum sharing – upper layer issues – cross – layer design.
TOTAL: 45 PERIODS
OUTCOMES:
The student would be able to appreciate the motivation and the necessity for cognitive radiocommunication strategies.
The student would be able to evolve new techniques and demonstrate their feasibility using mathematical validations and simulation tools.
The student would be able to demonstrate the impact of the evolved solutions in future wireless network design.
REFERENCES:
1. Alexander M. Wyglinski, MaziarNekovee, And Y. Thomas Hou, “Cognitive Radio Communications And Networks – Principles And Practice”, Elsevier Inc. , 2010.
2. Kwang-Cheng Chen and Ramjee Prasad, ” Cognitive Radio Networks” , John Wiley & Sons, Ltd, 2009.
3. Khattab, Ahmed, Perkins, Dmitri, Bayoumi, Magdy, “Cognitive Radio Networks – From Theory to Practice”, Springer Series: Analog Circuits and Signal Processing, 2009.
4. J. Mitola, “ Cognitive Radio: An Integrated Agent Architecture for software defined radio”,Doctor of Technology thesis, Royal Inst. Technology, Sweden 2000.
5. Simon Haykin, “Cognitive Radio: Brain –empowered wireless communications”, IEEE Journal on selected areas in communications, Feb 2005.
6. Ian F. Akyildiz, Won – Yeol Lee, Mehmet C. Vuran, ShantidevMohanty, “ NeXt generation /dynamic spectrum access / cognitive radio wireless networks: A Survey Elsevier ComputerNetworks, May 2006.