Course

Unit 1

Introduction to SDR, Brief history of SDR, Networking and SDR, RF Architecture for SDR, Processing architectures for SDR, Software environments for SDR, Benefits of Using SDR, Problems Faced by SDR. Cognitive Radio Communications: Cognitive Radios and Dynamic Spectrum Access, Analytical Approach and Algorithms for Dynamic Spectrum Access, Mathematical Models Toward Networking Cognitive Radios. Cognitive Radio Networks: CRN Architecture, Terminal Architecture of CRN, QoS Provisional Diversity Radio Access Networks. Radio XML coding for CRN

Unit 2

Spectrum Sensing to Detect Specific Primary System: Conventional Spectrum Sensing, Power Control, Power Scaling, Cooperative Spectrum Sensing. Spectrum Sensing for Cognitive OFDMA Systems- Cognitive Cycle, Discrimination of States of the Primary System, Spectrum Sensing techniques – Energy detector, Matched filter, Feature detector. Spectrum Sensing for Cognitive Multi-Radio Networks: Multiple System Sensing, Radio Resource Sensing. Spectrum Management of CRN: Sharing, Pricing, Mobility Management of Heterogeneous Wireless Networks.

Unit 3

User Cooperation and Cognitive Systems, Relay Channels: General Three-Node Relay Channel, Wireless Relay Channel, User Cooperation in Wireless Networks: Two-User Cooperative Network, Cooperative Wireless Network, Multihop Relay Channel. Regulatory scenario for TV space, Dynamic spectrum access models. Overview of IEEE 802.22 standard – Applications, Reference architecture. IEEE 802.22 Physical layer, medium access control layer, Spectrum sensing algorithms. Applications of Cognitive radio in IoT – Applications of Cognitive radio in 5G networks.

Pre-Requisite(s):

Computer Networks

Course Objectives

• To understand the fundamentals of Software Defined Radio and Cognitive radio architecture.
• To analyze various spectrum sensing mechanisms and management in cognitive radio communication and networks.
• To implement radio domain competence and formalizing radio knowledge.
• Gain hands-on experience by watching the protocols in action through simulation and/or software/hardware experiments.

Course Outcomes

CO1: Understand the basics of Software Defined Radio

CO2: Understand the fundamental concepts and architecture of cognitive radio communication and networks.

CO3: Evaluate different spectrum sensing mechanisms and management in cognitive radio communication and networks

CO4: Implementation of radio domain competence and formalizing radio knowledge using radio XML (RXML)

CO5: Explore various applications of cognitive radio systems in WRAN, IoT, 5G networks.

CO – PO Mapping

Text Book(s)

1. Travis F. Collins Robin Getz Di Pu Alexander M. Wyglinski ,”Software-Defined Radio for Engineers”, Artech
2. House Publishers; Unabridged edition, 2018.
3. Kwang-Cheng Chen, Ramjee Prasad, “Cognitive radio networks”, John Wiley & Sons Ltd., 2009.

Reference(s)

1. Alexander M. Wyglinski, Maziar Nekovee , Thomas Hou, ” Cognitive Radio Communications and Networks:
2. Principles and Practice”, Academic Press Inc; Illustrated edition, 2009.
3. Huseyin Arslan, “Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems”, Springer, 2007.
4. Joseph Mitola III, ” Cognitive Radio Architecture: The Engineering Foundations of Radio XML”, John Wiley &
5. Sons, Inc., Hoboken, New Jersey, 2006.