ECE

EC5003: Cognitive Radio Networks Syllabus for ECE 8th Sem 2019 Regulation Anna University (Professional Elective-VI)

Cognitive Radio Networks detailed syllabus for Electronics & Communication Engineering (ECE) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the ECE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Electronics & Communication Engineering 8th Sem scheme and its subjects, do visit ECE 8th Sem 2019 regulation scheme. For Professional Elective-VI scheme and its subjects refer to ECE Professional Elective-VI syllabus scheme. The detailed syllabus of cognitive radio networks is as follows.

Cognitive Radio Networks

Course Objective:

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Unit I

Introduction To Software-Defined Radio and Cognitive Radio
Evolution of Software Defined Radio and Cognitive radio: goals, benefits, definitions, architectures, relations with other radios, issues, enabling technologies, radio frequency spectrum and regulations.

Unit II

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It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit III

Spectrum Sensing and Dynamic Spectrum Access
Introduction – Primary user detection techniques – energy detection, feature detection, matched filtering, cooperative detection , Bayesian Approach, Neyman Pearson fusion rule for spectrum sensing, Optimum spectrum sensing – KullbackLeibler Divergence and other approaches, Fundamental Tradeoffs in spectrum sensing, Spectrum Sharing Models of Dynamic Spectrum Access – Unlicensed and Licensed Spectrum Sharing, Fundamental Limits of Cognitive Radio.

Unit IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit V

Advanced Topics in Cognitive Radio
Cognitive radio for Internet of Things – Features and applications – Enabling technologies and protocols – M2M technologies – Data storage and analysis techniques – Requirement and challenges of IoT – Energy efficiency- MIMO Cognitive Radio – Power allocation algorithms.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. Alexander M. Wyglinski, Maziar Nekovee, Thomas Hou, “Cognitive Radio Communications and Networks”, Academic Press, Elsevier, 2010.
  2. Bruce Fette, “Cognitive Radio Technology”, Newnes, 2006.
  3. Huseyin Arslan (Ed.), “Cognitive Radio, “Software Defined Radio and Adaptive Wireless Systems”, Springer, 2007.

References:

  1. Markus Dillinger, Kambiz Madani, Nancy Alonistioti, “Software Defined Radio”, John Wiley, 2003.
  2. Huseyin Arslan, “Cognitive Radio, SDR and Adaptive System”, Springer, 2007.
  3. Joseph Mitola, “Cognitive Radio Architecture”, John Wiley and Sons, 2006.
  4. Kwang-Cheng Chen, Ramjee Prasad, “Cognitive Radio Networks”, John Wiley and Sons, 2009.
  5. Qusay. H. Mahmoud, “Cognitive Networks : Towards Self Aware Network”, John Wiley and Sons Ltd. 2007.

For detailed syllabus of all the other subjects of Electronics & Communication Engineering 8th Sem, visit ECE 8th Sem subject syllabuses for 2019 regulation.

For all Electronics & Communication Engineering results, visit Anna University ECE all semester results direct link.

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