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Spectrum Sharing in Cognitive Radio Networks

Overview of attention for book
Cover of 'Spectrum Sharing in Cognitive Radio Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Cognitive Radio Communication System: Spectrum Sharing Techniques
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    Chapter 2 Spectrum Sensing in Cognitive Radio Networks: Potential Challenges and Future Perspective
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    Chapter 3 Medium Access Control Protocol for the Distributed Cognitive Radio Network
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    Chapter 4 Distributed Cognitive Radio Medium Access Control Protocol in Perfect and Imperfect Channel Sensing Scenarios
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    Chapter 5 Throughput Enhancement Using Bandwidth Wastage in MAC Protocol of the Distributed Cognitive Radio Network
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    Chapter 6 Power Allocation for Optimal Energy Efficiency in MAC Protocol of Cognitive Radio Communication Systems
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    Chapter 7 Frame Structure for Throughput Maximization in Cognitive Radio Communication
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    Chapter 8 Capacity Limits Over Fading Environment with Imperfect Channel State Information for Cognitive Radio Networks
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    Chapter 9 Channel Capacity of Cognitive Radio in a Fading Environment with CSI and Interference Power Constraints
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    Chapter 10 Framework for Cross-Layer Optimization in Cognitive Radio Network
Attention for Chapter 1: Cognitive Radio Communication System: Spectrum Sharing Techniques
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Citations

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Chapter title
Cognitive Radio Communication System: Spectrum Sharing Techniques
Chapter number 1
Book title
Spectrum Sharing in Cognitive Radio Networks
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-53147-2_1
Book ISBNs
978-3-31-953146-5, 978-3-31-953147-2
Authors

Shweta Pandit, Ghanshyam Singh

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Professor 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 2 33%
Unknown 4 67%

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