Ieee 802.22

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Seminar Report
On

Cognitive Radio Networks
Submitted in partial fulfillment of the requirements
For the degree of
Master of Technology
(Communication S

under the guidance of
Mr. Golak Santra

2008-2009

Electronics Engineering Department

Sardar Vallabhbhai National Institute of Technology
Surat-395007, Gujarat, India.

Sardar Vallabhbhai National Institute of Technology
Surat- 395007, Gujarat, India.

Electronics Engineering Department

CERTIFICATE
This is to certify that Mr. Ajay Kumar Gautam Roll no. P08EC901 of M.Tech.-I (Communication System) has satisfactory presented a Seminar on “Cognitive Radio Networks” during the year 2008-2009.
Signature of Guide:

Signature of HOD:

Mr. Golak Santra

Prof. B.R Taunk

Lecturer, ECED

Head, ECED

Signature of Internal Examiners:

1)

2)
SEAL OF DEPARTMENT

Contents

List of figures

i

Abstract

ii

1. Introduction

1

2. Cognitive Radio

2-8

2.1 what are Cognitive Radios

2

2.2 Cognitive Radio requirements

3

2.3 What is SDR

4

2.4 Relationship between Cognitive Radio and Software Defind Radio

4

2.5 Physical architecture of the cognitive radio

5

3. Cognitive Radio Networks

9-19

3.1 Introduction

9

3.2 Architecture for Cognitive Radio Networks

10

3.3 Spectrum Management Framework for Cognitive Radio Networks

12

3.4 Spectrum Sensing for Cognitive Radio Networks

13

3.5 Spectrum Decision Framework for Cognitive Radio Networks

14

3.6 Inter-Cell Spectrum Sharing in Cognitive Radio Networks

16

3.7 Spectrum Mobility for Cognitive Radio Networks

17

3.8 Spectrum Aware Routing Protocol for Cognitive Radio Networks

18

4. Transport Protocol for Cognitive Radio Networks

20-21

5. Cognitive Mesh Networks

22-23

6. Cognitive Sensor Networks: Interferer Classification and Transmission Adaptation
7. Cognitive Radio Network applications

24-25
26

Summary

27

References

28

Acronyms

29

List Of Figures

Figure 1 : Relationship between SDR and CR

5

Figure 2. Physical architecture of the cognitive radio
a) Cognitive radio transceiver and
b) Wideband RF/analog front-end architecture.

6

Figure 3. Cognitive radio network architecture.

10

Figure 4. Spectrum Management Framework.

12

Figure 5. Periodic spectrum sensing structure

13

Figure 6. Spectrum decision framework for cognitive radio networks

15

Figure 7. Inter-Cell Spectrum Sharing Framework

16

Figure 8. Joint route and spectrum discovery

19

Figure 9. The state diagram for the TP-CRAHN protocol

20

Figure 10. Cognitive mesh network architecture

22

Figure 11. Identifying the interferer type and location

24

i

Abstract
Cognitive radio networks are intelligent networks that can automatically sense the environment and adapt the communication parameters accordingly. These types of networks have applications in dynamic spectrum access, co-existence of different wireless networks, interference management, etc. They are touted to drive the next generation of devices, protocols and applications. Clearly, the cognitive radio network paradigm poses many new technical challenges in protocol design, power efficiency, spectrum management, spectrum detection, environment awareness, new distributed algorithm design, distributed spectrum measurements, QoS guarantees, and security. Overcoming these issues becomes even more challenging due to non-uniform spectrum and other radio resource allocation policies, economic considerations, the inherent transmission impairments of wireless links, and user mobility. Cognitive radio is an emerging technology that enables the flexible development and deployment of highly adaptive radios that are built upon software defined radio technology. Cognitive radio has been considered as a key technology for future wireless communications and mobile computing. We note the cognitive radios...
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