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Cognitive Radio Networks
Rating: 4.5 out of 5(41 ratings)
176 students
Last updated 12/2020
English

What you'll learn

  • The students will learn Introduction to Cognitive Radio with all basic concepts.

Course content

3 sections9 lectures5h 36m total length
  • Introduction to Cognitive Radio33:41

    The Student will be able to learn basic concepts of Cognitive Radio including Spectrum Crunch Issue, Stringent requirements and functions of Cognitive Radio and Concept of Digital Dividend.

  • Cognitive Radio Architecture28:56

    The Student will be able to learn about Cognitive Radio Architecture including its extrinsic domains, layered outlook approach, Cognitive Engine & Policy Engine.

  • Dynamic Spectrum Access39:11

    The students will be able to understand basic concepts of Dynamic Spectrum Access including Spectrum Access Taxonomy, Commons Use Model, Shared Use Model and Exclusive Use Model.

  • Cognitive Cycle & Potential Applications of Cognitive Radio34:50

    The Students will be able able to learn Cognitive cycle, Components of Cognitive Radio and its Potential Applications.

Requirements

  • Basic Knowledge of Wireless Communication

Description

This is introductory course on Cognitive Radio. Cognitive Radio is a concept introduced to attack the upcoming spectrum crunch issue and make opportunistic use of spectrum. It is an emerging field. It is useful for BTech & MTech students to understand basic concepts about technology . There are various research opportunities and challenges in Cognitive Radio. The resource allocation & its optimization under various constraints is required to improve system performance. Any researcher who is beginner in this field can start with these basic concepts and explore various research opportunities. This Course is divided into three Sections. Section-1 Covers introduction to Cognitive Radio including Digital dividend, cognitive radio (CR) architecture, functions of cognitive radio, dynamic spectrum access (DSA), components of cognitive radio and potential applications of Cognitive Radio. Section-2 Covers Introduction to Spectrum Sensing including Spectrum sensing techniques, detection of spectrum holes (TVWS), collaborative sensing, geo-location database and spectrum sharing business models (spectrum of commons, real time secondary spectrum market). Transmitter detection based sensing techniques :Matched Filter, Energy Detection, Cyclostationary Feature Detection and Wavelet Detection are discussed in detail and compared with each other in terms of advantages and disadvantages.Section-3 Covers Research Challenges in Cognitive Radio: Network layer and transport layer issues, cross layer design for cognitive radio networks.

Who this course is for:

  • Engineering students (BTech, MTech), BSC Electronics Students, Diploma Students(Polytechnic),Any Researcher in the field of Cognitive Radio