LEADER 04084nam 22005295 450 001 9910337467003321 005 20200701114704.0 010 $a3-319-73957-3 024 7 $a10.1007/978-3-319-73957-1 035 $a(CKB)4100000004821659 035 $a(DE-He213)978-3-319-73957-1 035 $a(MiAaPQ)EBC5400817 035 $z(PPN)258862289 035 $a(PPN)227400461 035 $a(EXLCZ)994100000004821659 100 $a20180522d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks /$fby Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (X, 107 p. 38 illus.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 311 $a3-319-73956-5 327 $a1 Introduction -- 2 Relay-Based Cooperative Spectrum Sensing -- 3 Cluster-Based Cooperative Spectrum Sensing -- 4 Taxonomy of the Resource Allocation in CRNs -- 5 Resource Allocation in CRNs -- 6 Resource Allocation in CRNs with D2D Communication -- 7 Conclusion and Future Research Directions. 330 $aCognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs. The cognitive approach in radio access is introduced in the first part of this SpringerBrief, and then  next the benefits of cooperative spectrum sensing are highlighted and a framework for studying it under realistic channel conditions is described.  New exact closed-form expressions for average false alarm probability and average detection probability are derived in this scenario. A novel approximation to alleviate the computational complexity of the proposed models are also discussed. Once the spectrum opportunities are identified, efficient and systematic resource allocation (RA) shall be performed. The second part of this SpringerBrief describes the taxonomy for the RA process in CRN.  A comprehensive overview of the optimization strategies of the CRN RA is also provided. The device-to-device (D2D) communication scenario is discussed, then as a case study and various optimization strategies for the application of the CR technology in the D2D realm is studied. The application of advanced geometric water-filling (GWF) approach in CRN D2D environment for optimum resource allocation is presented in detail. Numerical results provide more insight quantitatively. Overall, this book is suitable for a wide audience that include students, faculty and researchers in wireless communication area and professionals in the wireless service industry. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aElectrical engineering 606 $aComputer networks 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aElectrical engineering. 615 0$aComputer networks. 615 14$aCommunications Engineering, Networks. 615 24$aComputer Communication Networks. 676 $a621.382 700 $aFernando$b Xavier$4aut$4http://id.loc.gov/vocabulary/relators/aut$0845434 702 $aSultana$b Ajmery$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHussain$b Sattar$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhao$b Lian$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337467003321 996 $aCooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks$92209881 997 $aUNINA LEADER 04495nam 22006375 450 001 9910863296903321 005 20251113201307.0 010 $a981-15-7720-X 024 7 $a10.1007/978-981-15-7720-8 035 $a(CKB)4100000011409355 035 $a(MiAaPQ)EBC6326346 035 $a(DE-He213)978-981-15-7720-8 035 $a(PPN)269147861 035 $a(EXLCZ)994100000011409355 100 $a20200831d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFlow of Funds Analysis $eInnovation and Development /$fby Nan Zhang 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (423 pages) 311 08$a981-15-7719-6 327 $aPart 1: Methods and Applications for Flow of Funds Analysis -- Chapter 1. The Basic Structure and Main Modes of Flow of Funds Accounts -- Chapter 2. Statistical Observations Mentioned in Chinese Flow of Funds: 1992-2017 -- Chapter 3. Measuring the Ripple Effect and Financial Risk in China?s Flow of Funds -- Chapter 4. The Mirror Image Relationship between China and the U.S. in the External Flow of Funds -- Part 2. Measuring Global Flow of Funds -- Chapter 5. From the Flow of Funds Accounts to Global Flow of Funds Statistic -- Chapter 6. A Framework for Global Flow of Funds Matrix -- Chapter 7. Measuring Global Flow of Funds: Data Sources, Approaches and Big Data Techniques -- Chapter 8. The Theoretical Model for Global-Flow-of-Funds Analysis -- Part 3. Methods and Applications for Global Flow of Funds Analysis -- Chapter 9. A Statistical Monitoring System of Global-Flow-of-Funds: Financial Stability in China -- Chapter 10. Measuring Global Flow of Funds: A Case Study on China, Japan and the United States -- Chapter 11. Global Flow of Funds and Uncertainty: Focus on the Cross-Border Banking Financing -- Chapter 12. Financial Network Analysis on Global Flow of Funds in G20. 330 $aThis book discusses the theory, methods, and applications of flow of funds analysis. The book integrates the basic principles of economic statistics, financial accounts, international finance, econometric models, and financial network analysis, providing a systematic and comprehensive introduction to the interconnection between these research fields. It thus provides the reader with the intellectual groundwork indispensable for understanding the workings and interactions of today?s globalized financial markets. The main focus of the book is how to observe the flow of funds in macroeconomics, how to measure the global flow of funds (GFF), and how to use GFF data to carry out an analysis. Based on the statistical framework for measuring GFF under the System of National Accounts, the book identifies the systematic relationship of financial linkages among economic sectors and with the rest of the world while integrating data sources that include stock data, geographically broken down by country?region, and selected financial instruments. It sets out the GFF concept and constructs a GFF matrix (metadata) on a from-whom-to-whom basis within a country-by-country pattern. Lastly, an established GFF matrix table is used to conduct an empirical study including an econometric model and financial network analysis. 606 $aStatistics 606 $aMacroeconomics 606 $aFinancial risk management 606 $aFinancial services industry 606 $aAccounting 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aMacroeconomics and Monetary Economics 606 $aRisk Management 606 $aFinancial Services 606 $aFinancial Accounting 615 0$aStatistics. 615 0$aMacroeconomics. 615 0$aFinancial risk management. 615 0$aFinancial services industry. 615 0$aAccounting. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aMacroeconomics and Monetary Economics. 615 24$aRisk Management. 615 24$aFinancial Services. 615 24$aFinancial Accounting. 676 $a339.26 700 $aZhang$b Nan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0927837 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863296903321 996 $aFlow of Funds Analysis$92084561 997 $aUNINA