LEADER 00000cam a2200817Ka 4500 001 ocn817224515 003 OCoLC 005 20191011050232.6 006 m o d 007 cr cnu---unuuu 008 121112s2012 enk ob 001 0 eng d 016 7 016147638|2Uk 019 821647585|a822031812|a823743478|a856939882|a976521514 020 9781139840453|q(electronic book) 020 1139840452|q(electronic book) 020 9781139236850|q(electronic book) 020 1139236857|q(electronic book) 020 1283746670 020 9781283746670 020 9781139842839 020 1139842838 020 9781139845199|q(e-book) 020 1139845195|q(e-book) 020 9781139854276 020 1139854275 020 |z9781107028753 020 |z1107028752 035 (OCoLC)817224515|z(OCoLC)821647585|z(OCoLC)822031812 |z(OCoLC)823743478|z(OCoLC)856939882|z(OCoLC)976521514 037 CL0500000265|bSafari Books Online 040 N$T|beng|epn|cN$T|dEBLCP|dUIU|dCAMBR|dYDXCP|dIDEBK|dCDX |dOCLCO|dCOO|dDEBSZ|dABC|dOCLCQ|dE7B|dUKMGB|dCUS|dUMI |dOCLCQ|dOCLCF|dOCLCQ|dKIJ|dUUM|dCEF|dCUY|dMERUC|dZCU|dICG |dVTS|dAU@|dDEBBG|dOCLCQ|dTKN|dDKC|dOCLCQ 049 RIDW 050 4 TK5103.4815|b.P75 2012eb 066 |c(S 072 7 TEC|x061000|2bisacsh 072 7 TEC|x034000|2bisacsh 072 7 TJK|2bicssc 082 04 621.384|223 090 TK5103.4815|b.P75 2012eb 245 00 Principles of cognitive radio /|cEzio Biglieri [and others]. 264 1 Cambridge ;|aNew York :|bCambridge University Press, |c2012. 300 1 online resource 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 504 Includes bibliographical references and index. 505 0 Cover -- Contents -- Contributors -- Preface -- Acknowledgments -- Notation -- 1 The concept of cognitive radio -- 1.1 Motivation for cognitive radios: spectrum is underutilized -- 1.2 What is cognitive radio? -- 1.2.1 Agile radios and dynamic spectrum access -- 1.2.2 User hierarchy in cognitive radio networks -- 1.2.3 Usage scenarios for cognitive radio -- 1.2.4 Cognitive radio bands -- 1.3 Spectrum policy: present and future -- 1.3.1 Role of spectrum policy -- 1.4 Data explosion: future spectrum implications -- 1.5 Applications of cognitive radio -- 1.5.1 Dynamic spectrum access in cellular systems -- 1.5.2 Cellular data boost -- 1.5.3 Machine-to-machine communications -- 1.5.4 Distribution and backhaul -- 1.5.5 Cognitive digital home -- 1.5.6 Long range vehicle-to- vehicle network -- 1.6 Cognitive radio network design -- 1.6.1 Global control plane -- 1.6.2 Spectrum servers, spectrum brokers, and network information servers -- 1.6.3 Security aspects of cognitive radio -- 1.7 Hardware and system design considerations -- 1.7.1 Design tradeoffs in usage scenarios -- 1.7.2 Antenna design in cognitive radio systems -- 1.7.3 Analog-to-digital converters -- 1.7.4 Wideband channels and noncontiguous transmission -- 1.8 Spectrum coexistence in cognitive radio networks -- 1.8.1 Spectrum pooling and bandwidth exchange -- 1.8.2 Cross- layer scheduling in cognitive radio networks -- 1.9 Prototyping -- 1.10 Standardization activity in cognitive radio -- 1.11 Organization of this book -- References -- 2 Capacity of cognitive radio networks -- 2.1 Introduction - - 2.2 Cognitive radio network paradigms -- 2.2.1 Underlay paradigm -- 2.2.2 Overlay paradigm -- 2.2.3 Interweave paradigm -- 2.2.4 Comparison of cognitive radio paradigms -- 2.3 Fundamental performance limits of wireless networks -- 2.3.1 Performance metrics -- 2.3.2 Mathematical definition of capacity. 505 8 5.2.1 Distributed detection in spectrum sensing -- 5.2.2 Sequential and quickest detection -- 5.3 Optimized spectrum exploration and exploitation: sensing and access policy design -- 5.3.1 Optimization techniques -- 5.3.2 Bandit problems -- 5.3.3 Reinforcement learning -- 5.3.4 Game-theoretic approaches -- 5.3.5 Location awareness and geolocation -- 5.4 Summary -- 5.5 Further reading -- References -- Bibliography -- Index. 520 Widely regarded as one of the most promising emerging technologies for driving the future development of wireless communications, cognitive radio has the potential to mitigate the problem of increasing radio spectrum scarcity through dynamic spectrum allocation. Drawing on fundamental elements of information theory, network theory, propagation, optimisation and signal processing, a team of leading experts present a systematic treatment of the core physical and networking principles of cognitive radio and explore key design considerations for the development of new cognitive radio systems. Containing all the underlying principles you need to develop practical applications in cognitive radio, this book is an essential reference for students, researchers and practitioners alike in the field of wireless communications and signal processing. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Cognitive radio networks.|0https://id.loc.gov/authorities/ subjects/sh2008002568 650 0 Radio frequency allocation.|0https://id.loc.gov/ authorities/subjects/sh85110473 650 0 Software radio.|0https://id.loc.gov/authorities/subjects/ sh2001008436 650 7 Cognitive radio networks.|2fast|0https://id.worldcat.org/ fast/1745359 650 7 Radio frequency allocation.|2fast|0https://id.worldcat.org /fast/1087315 650 7 Software radio.|2fast|0https://id.worldcat.org/fast/ 1124214 655 0 Electronic books. 655 4 Electronic books. 700 1 Biglieri, Ezio.|0https://id.loc.gov/authorities/names/ n85220000 776 08 |iPrint version:|tPrinciples of cognitive radio. |dCambridge ; New York : Cambridge University Press, 2012 |z9781107028753|w(DLC) 2012028036|w(OCoLC)795174129 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=498348|zOnline eBook via EBSCO. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading the EBSCO version of this eBook|uhttp://guides.rider.edu/ebooks/ebsco 880 8 |6505-00/(S|a3.8 Delay dispersion -- 3.8.1 ``Narrowband" vs. ``wideband" -- 3.8.2 Wideband channels -- 3.8.3 Time- variant impulse response -- 3.8.4 The power delay profile, P(τ) -- 3.8.5 The frequency correlation function, F(Δf) -- 3.8.6 A model and values for the delay spread -- 3.8.7 Ultra-wideband (UWB) channels -- 3.9 Angle dispersion -- 3.9.1 Directions of arrival and departure -- 3.9.2 Models for the APS shape and angular spread -- 3.9.3 Joint dispersions -- 3.10 Polarization -- 3.11 Special environments -- 3.11.1 Vehicle-to-vehicle (V2V) propagation -- 3.11.2 Wireless sensor networks (WSNs) -- 3.12 Summary of key model parameters -- 3.12.1 Path loss models -- 3.12.2 Ricean K-factor models -- 3.12.3 Delay dispersion models -- 3.12.4 Frequency dispersion models -- 3.12.5 Comprehensive models -- 3.12.6 Usage of models -- 3.13 Summary -- 3.14 Further reading -- References -- 4 Spectrum sensing -- 4.1 Introduction -- 4.2 Interference temperature for cognitive underlaying -- 4.3 White-space detection for cognitive interweaving -- 4.3.1 Energy sensing -- 4.3.2 Coherent detection -- 4.3.3 Cyclostationarity-based detection -- 4.3.4 Autocorrelation -based detection -- 4.4 An application: spectrum sensing with OFDM -- 4.4.1 Neyman-Pearson detection -- 4.4.2 Detection based on second-order statistics -- 4.5 Effects of imperfect knowledge of noise power -- 4.5.1 Energy sensing -- 4.5.2 Pilot-tone-aided coherent sensing -- 4.5.3 Cyclostationarity-based detection -- 4.6 Effects of an inaccurate model of interference -- 4.6.1 Basics of moment-bound theory -- 4.6.2 Energy sensing -- 4.6.3 Pilot -tone-aided coherent sensing -- 4.7 Summary -- 4.8 Further reading -- References -- 5 Spectrum exploration and exploitation -- 5.1 Introduction -- 5.1.1 Chapter motivation -- 5.1.2 Preview of the chapter -- 5.2 Advanced spectrum sensing techniques. 880 8 |6505-00/(S|a2.3.3 Capacity region of wireless networks -- 2.4 Interference channels without cognition -- 2.4.1 K- user interference channels -- 2.4.2 Two-user interference channel capacity -- 2.4.3 Interference channel techniques for cognitive radios -- 2.5 Underlay cognitive radio networks -- 2.5.1 Underlay capacity region -- 2.5.2 Capacity results for specific scenarios -- 2.6 Interweave cognitive radio networks -- 2.6.1 Shannon capacity -- 2.6.2 Random switch model for secondary channels -- 2.6.3 Scaling laws for interweave networks -- 2.7 Overlay cognitive radio networks -- 2.7.1 Cognitive encoder for the two-user overlay channel -- 2.7.2 Capacity results -- 2.7.3 K-user overlay networks -- 2.8 Summary -- 2.9 Further reading -- References -- 3 Propagation issues for cognitive radio -- 3.1 Introduction -- 3.1.1 Propagation in the cognitive radio bands -- 3.1.2 Impact of propagation on sensing -- 3.1.3 Impact of propagation on transmission -- 3.1.4 Outline of the chapter -- 3.2 Generic channel response -- 3.3 Introduction to path loss -- 3.3.1 Free-space path loss -- 3.3.2 Path loss in CR scenarios -- 3.4 Path loss models for wireless channels -- 3.4.1 General formulation -- 3.4.2 Shadow fading, S -- 3.4.3 Median path loss, PLmed -- 3.4.4 Antenna gain and the gain reduction factor -- 3.5 Path loss models for tower-based scenarios -- 3.5.1 Transmissions from TV towers -- 3.5.2 Tower-to-tower paths at low-to-moderate heights -- 3.6 Small-scale fading and the Ricean K-factor -- 3.6.1 Spatial variation of field strength -- 3.6.2 Temporal fading on mobile radio links -- 3.6.3 Temporal fading on fixed wireless links -- 3.7 Small-scale fading and the Doppler spectrum -- 3.7.1 Doppler frequency -- 3.7.2 The angle-of-arrival and Doppler spectra -- 3.7.3 The autocorrelation function, A((Δt) -- 3.7.4 The Doppler spectrum for fixed terminals -- 3.7.5 Dispersion. 901 MARCIVE 20231220 948 |d20191018|cEBSCO|tEBSCOebooksacademic NEW 1299 AUG23- OCT11 |lridw 994 92|bRID