| 000 -LEADER |
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| fixed length control field |
06049nam a22004453i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
EBC5972864 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240322153613.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
231128s2019 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789811507762 |
| Qualifying information |
(electronic bk.) |
|
|---|
| Cancelled/invalid ISBN |
9789811507755 |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(MiAaPQ)EBC5972864 |
|
|---|
| System control number |
(Au-PeEL)EBL5972864 |
|
|---|
| System control number |
(OCoLC)1127052491 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MiAaPQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| -- |
pn |
| Transcribing agency |
MiAaPQ |
| Modifying agency |
MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TK5101-5105.9 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Liang, Ying-Chang. |
| 245 10 - TITLE STATEMENT |
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| Title |
Dynamic Spectrum Management : |
| Remainder of title |
From Cognitive Radio to Blockchain and Artificial Intelligence. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. |
| 264 #1 - |
|---|
| -- |
Singapore : |
| -- |
Springer Singapore Pte. Limited, |
| -- |
2019. |
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| -- |
�2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (180 pages) |
| 336 ## - |
|---|
| -- |
text |
| -- |
txt |
| -- |
rdacontent |
| 337 ## - |
|---|
| -- |
computer |
| -- |
c |
| -- |
rdamedia |
| 338 ## - |
|---|
| -- |
online resource |
| -- |
cr |
| -- |
rdacarrier |
| 490 1# - SERIES STATEMENT |
|---|
| Series statement |
Signals and Communication Technology Series |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Background -- 1.2 Dynamic Spectrum Management -- 1.2.1 Opportunistic Spectrum Access -- 1.2.2 Concurrent Spectrum Access -- 1.3 Cognitive Radio for Dynamic Spectrum Management -- 1.4 Blockchain for Dynamic Spectrum Management -- 1.5 Artificial Intelligence for Dynamic Spectrum Management -- 1.6 Outline of the Book -- References -- 2 Opportunistic Spectrum Access -- 2.1 Introduction -- 2.2 Sensing-Throughput Tradeoff -- 2.2.1 Basic Formulation -- 2.2.2 Cooperative Spectrum Sensing -- 2.3 Spectrum Sensing Scheduling -- 2.4 Sequential Spectrum Sensing -- 2.4.1 Given Sensing Order -- 2.4.2 Optimal Sensing Order -- 2.5 Applications: LTE-U -- 2.5.1 LBT-Based Medium Access Control Protocol Design -- 2.5.2 User Association: To be WiFi or LTE-U User? -- 2.6 Summary -- References -- 3 Spectrum Sensing Theories and Methods -- 3.1 Introduction -- 3.1.1 System Model for Spectrum Sensing -- 3.1.2 Design Challenges for Spectrum Sensing -- 3.2 Classical Detection Theories and Methods -- 3.2.1 Neyman-Pearson Theorem -- 3.2.2 Bayesian Method and the Generalized Likelihood Ratio Test -- 3.2.3 Robust Hypothesis Testing -- 3.2.4 Energy Detection -- 3.2.5 Sequential Energy Detection -- 3.2.6 Matched Filtering -- 3.2.7 Cyclostationary Detection -- 3.2.8 Detection Threshold and Test Statistic Distribution -- 3.3 Eigenvalue Based Detections -- 3.3.1 The Methods -- 3.3.2 Threshold Setting -- 3.3.3 Performances of the Methods -- 3.4 Covariance Based Detections -- 3.4.1 The Methods -- 3.4.2 Detection Probability and Threshold Determination -- 3.4.3 Performance Analysis and Comparison -- 3.5 Cooperative Spectrum Sensing -- 3.5.1 Data Fusion -- 3.5.2 Decision Fusion -- 3.5.3 Robustness of Cooperative Sensing -- 3.5.4 Cooperative CBD and EBD -- 3.6 Summary -- References. |
|
|---|
| Formatted contents note |
4 Concurrent Spectrum Access -- 4.1 Introduction -- 4.2 Single-Antenna CSA -- 4.2.1 Power Constraints -- 4.2.2 Optimal Transmit Power Design -- 4.3 Cognitive Beamforming -- 4.3.1 Interference Channel Learning -- 4.3.2 CB with Perfect Channel Learning -- 4.3.3 CB with Imperfect Channel Learning: A Learning-Throughput Tradeoff -- 4.4 Cognitive MIMO -- 4.4.1 Spatial Spectrum Design -- 4.4.2 Learning-Based Joint Spatial Spectrum Design -- 4.5 Cognitive Multiple-Access and Broadcasting Channels -- 4.5.1 Cognitive Multiple-Access Channel -- 4.5.2 Cognitive Broadcasting Channel -- 4.6 Robust Design -- 4.6.1 Uncertain Interference Channel -- 4.6.2 Uncertain Interference and Secondary Signal Channels -- 4.7 Application: Spectrum Refarming -- 4.7.1 SR with Active Infrastructure Sharing -- 4.7.2 SR with Passive Infrastructure Sharing -- 4.7.3 SR in Heterogeneous Networks -- 4.8 Summary -- References -- 5 Blockchain for Dynamic Spectrum Management -- 5.1 Introduction -- 5.2 Blockchain Technologies -- 5.2.1 Overview of Blockchain -- 5.2.2 Features and the Potential Attacks on Blockchain -- 5.2.3 Smart Contracts Enabled by Blockchain -- 5.3 Blockchain for Spectrum Management: Basic Principles -- 5.3.1 Blockchain as a Secure Database for Spectrum Management -- 5.3.2 Self-organized Spectrum Market Supported by Blockchain -- 5.3.3 Deployment of Blockchain over Cognitive Radio Networks -- 5.3.4 Challenges of Applying Blockchain to Spectrum Management -- 5.4 Blockchain for Spectrum Management: Examples -- 5.4.1 Consensus-Based Dynamic Spectrum Access -- 5.4.2 Secure Spectrum Auctions with Blockchain -- 5.4.3 Secure Spectrum Sensing Service with Smart Contracts -- 5.4.4 Blockchain-Enabled Cooperative Dynamic Spectrum Access -- 5.5 Future Directions -- 5.6 Summary -- References -- 6 Artificial Intelligence for Dynamic Spectrum Management -- 6.1 Introduction. |
|
|---|
| Formatted contents note |
6.2 Overview of Machine Learning Techniques -- 6.2.1 Statistical Machine Learning -- 6.2.2 Deep Learning -- 6.2.3 Deep Reinforcement Learning -- 6.3 Machine Learning for Spectrum Sensing -- 6.4 Machine Learning for Signal Classification -- 6.4.1 Modulation-Constrained Clustering Approach -- 6.4.2 Deep Learning Approach -- 6.5 Deep Reinforcement Learning for Dynamic Spectrum Access -- 6.5.1 Deep Multi-user Reinforcement Learning for Distributed Dynamic Spectrum Access -- 6.5.2 Deep Reinforcement Learning for Joint User Association and Resource Allocation -- 6.6 Summary -- References. |
| 588 ## - |
|---|
| -- |
Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) |
|---|
| Local note |
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 655 #4 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| Main entry heading |
Liang, Ying-Chang |
| Title |
Dynamic Spectrum Management |
| Place, publisher, and date of publication |
Singapore : Springer Singapore Pte. Limited,c2019 |
| International Standard Book Number |
9789811507755 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) |
|---|
| Corporate name or jurisdiction name as entry element |
ProQuest (Firm) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Signals and Communication Technology Series |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=5972864 |
| Public note |
Click to View |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
E-book |
