
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.
The Student will be able to learn about Cognitive Radio Architecture including its extrinsic domains, layered outlook approach, Cognitive Engine & Policy Engine.
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.
The Students will be able able to learn Cognitive cycle, Components of Cognitive Radio and its Potential Applications.
The students will understand basic concepts of Spectrum Sensing including its general model, estimation theory , Interference Temperature Limit, Estimator designing steps, Signal detection and Receiver Operating Characteristics.
The students will be able to analyze various Spectrum Sensing Techniques including Transmitter Detection Based Sensing, Collaborative Sensing and Replacement of Sensing Devices in Secondary Users.
The students will be given overview about Geolocation Database, Local beacon Scheme and different Spectrum Sharing Models.
The student will be able to analyze Spectrum Sensing & Management issues in Cognitive Radio.
The students will be able to analyze issues related to Spectrum Mobility, Network Layer & Transport Layer as well as Cross Layer design issues and Challenges.
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.