Radio Resource Allocation and Dynamic Spectrum Access

  • ID: 2335449
  • Book
  • 92 Pages
  • John Wiley and Sons Ltd
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We are currently witnessing an increase in telecommunications norms and standards given the recent advances in this field. The increasing number of normalized standards paves the way for an increase in the range of services available for each consumer. Moreover, the majority of available radio frequencies have already been allocated. This explains the emergence of cognitive radio (CR) the sharing of the spectrum between a primary user and a secondary user. In this book, we will present the state of the art of the different techniques for spectrum access using cooperation and competition to solve the problem of spectrum allocation and ensure better management of radio resources in a radio cognitive context. The different aspects of research explored up until now on the applications of multi–agent systems (MAS) in the field of cognitive radio are analyzed in this book. The first chapter begins with an insight into wireless networks and mobiles, with special focus on the IEEE 802.22 norm, which is a norm dedicated to CR. Chapter 2 goes into detail about CR, which is a technical field at the boundary between telecommunications and Artificial Intelligence (AI). In Chapter 3, the concept of the agent from AI is expanded to MAS and associated applications. Finally, Chapter 4 establishes an overview of the use of AI techniques, in particular MAS, for its allocation of radio resources and dynamic access to the spectrum in CR.


1. Wireless and Mobile Networks.
2. Cognitive Radio.
3. Multi–agent Systems.
4. Dynamic Spectrum Access.

About the Authors

Badr Benmammar has been Associate Professor at UABT (University Abou Bekr Belkaïd Tlemcen), Algeria since 2010 and was a research fellow at CNRS LaBRI Laboratory of the University of Bordeaux 1 until 2007. He is currently carrying out research at the Laboratory of Telecommunications of Tlemcen (LTT), UABT, Algeria. His main research activities concern the cognitive radio network, Quality of Service on mobile and wireless networks, end–to–end signaling protocols and agent technology. His work on Quality of Service has led to many publications in journals and conference proceedings.
Asma Amraoui is currently a PhD candidate; she is preparing a doctoral thesis on a topic of research that explores the use of artificial intelligence techniques in cognitive radio networks. She is attached to the Laboratory of Telecommunications of Tlemcen (LTT) in Algeria.

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1.1. Introduction  1

1.2. Wireless networks   2

1.2.1. Definition   2

1.2.2. Function of a wireless network   3 Network with infrastructure  3 Network without infrastructure  4

1.2.3. Types of wireless networks   5 Wireless personal area network  6 Wireless local area network  6 Wireless metropolitan area network 6 Wireless wide area network  6 Wireless regional area network  6

1.2.4. Different types of existing wireless networks  7 Networks using infrared waves  7 Networks using radio waves  7

1.2.5. IEEE 802.22 standard  12

1.3. Mobile networks  12

1.3.1. Wireless and mobility  12

1.3.2. Mobility    13

1.3.3. Cellular architecture   13

1.3.4. Architecture of a cellular network   14

1.3.5. Telephony   15

1.3.6. Development of cellular systems 16 First generation 16 Second generation  16 Third generation   18 Fourth generation  18

1.4. WiMAX mobile and 4G   19

1.5. Conclusion   20


2.1. Introduction  23

2.2. Software radio   24

2.2.1. Software–defined radio 24

2.3. Introduction to cognitive radio   24

2.3.1. History   24

2.3.2. Definition   25

2.3.3. Relationship between cognitive radio and software–defined radio  26

2.3.4. Structure    27

2.3.5. Cognition cycle  29

2.3.6. Components of cognitive radio   31

2.3.7. Functions of cognitive radio  32

2.4. Languages of cognitive radio  35

2.5. Domains of cognitive radio applications 36

2.6. Conclusion   38


3.1. Introduction  39

3.2. Definition of an agent   39

3.2.1. The multidimensional characteristics of an agent  40

3.2.2. An agent s concrete architecture  41 Architecture of logical agents   41 Reactive architecture  42 BDI architecture   42 Multilevel architecture   44

3.2.3. Model of an agent  45

3.3. Multi–agent systems  46

3.3.1. Communication between agents  46 Coordination protocols   46 Cooperation protocols 47 Negotiation  47

3.4. Application of MAS in telecommunications 48

3.4.1. MAS applications on the Web   48

3.4.2. Application of MAS in virtual private networks 49

3.4.3. Using MAS in the setting of third generation mobiles 50

3.4.4. Application of MAS in network supervision and management  50

3.5. Conclusion   50


4.1. Introduction  53

4.2. Intelligent algorithms   54

4.2.1. Neural networks 55

4.2.2. Fuzzy logic  56

4.2.3. Genetic algorithms  57

4.3. Dynamic spectrum access  58

4.3.1. Spectrum access using the auction approach 58

4.3.2. Spectrum access using game theory  59

4.3.3. Spectrum access using Markov s approach 60

4.3.4. Spectrum access using multi–agent systems 61

4.4. Conclusion   64



INDEX   77

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Badr Benmammar
Asma Amraoui
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