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Multiple access channels [[electronic resource] ] : theory and practice / / edited by Ezio Biglieri and László Györfi
| Multiple access channels [[electronic resource] ] : theory and practice / / edited by Ezio Biglieri and László Györfi |
| Pubbl/distr/stampa | Amsterdam, Netherlands ; ; Washington, DC, : IOS Press, c2007 |
| Descrizione fisica | 1 online resource (360 p.) |
| Disciplina | 004.6/2 |
| Altri autori (Persone) |
BiglieriEzio
GyörfiLászló |
| Collana | NATO security through science series. D, Information and communication security |
| Soggetto topico |
Multiple access protocols (Computer network protocols)
Computer network protocols |
| Soggetto genere / forma | Electronic books. |
| ISBN |
6610934800
1-280-93480-8 9786610934805 1-4294-9220-1 1-60750-233-X 600-00-0492-3 1-4337-0870-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Contents; Information Theoretic Aspects; Multiple Access Channels; Rate-Splitting Multiple-Access; Multiple Access Adder Channel; Multiple Access Euclidean Channel; A Survey of the Relay Channel; Source Coding for a Noiseless Broadcast Channel; Coding for Single and Multi User Channels with Constrained and Unconstrained Side Information; Multiple Access Techniques; MIMO: A Minimalist Introduction; OFDMA and Channel Coding; Braided Code Division Multiple Access; Principles of Stability Analysis for Random Accessing with Feedback
Collision Channel with Multiplicity FeedbackCoding Techniques; Coding Techniques and the Two-Access Channel; The Multi-Access Channel in a Network: Stability and Network Coding Issues; Coding for Multiple-Access Collision Channel Without Feedback; Metrics in Coding Theory; Author Index |
| Record Nr. | UNINA-9910450563803321 |
| Amsterdam, Netherlands ; ; Washington, DC, : IOS Press, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple access channels [[electronic resource] ] : theory and practice / / edited by Ezio Biglieri and László Györfi
| Multiple access channels [[electronic resource] ] : theory and practice / / edited by Ezio Biglieri and László Györfi |
| Pubbl/distr/stampa | Amsterdam, Netherlands ; ; Washington, DC, : IOS Press, c2007 |
| Descrizione fisica | 1 online resource (360 p.) |
| Disciplina | 004.6/2 |
| Altri autori (Persone) |
BiglieriEzio
GyörfiLászló |
| Collana | NATO security through science series. D, Information and communication security |
| Soggetto topico |
Multiple access protocols (Computer network protocols)
Computer network protocols |
| ISBN |
6610934800
1-280-93480-8 9786610934805 1-4294-9220-1 1-60750-233-X 600-00-0492-3 1-4337-0870-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Contents; Information Theoretic Aspects; Multiple Access Channels; Rate-Splitting Multiple-Access; Multiple Access Adder Channel; Multiple Access Euclidean Channel; A Survey of the Relay Channel; Source Coding for a Noiseless Broadcast Channel; Coding for Single and Multi User Channels with Constrained and Unconstrained Side Information; Multiple Access Techniques; MIMO: A Minimalist Introduction; OFDMA and Channel Coding; Braided Code Division Multiple Access; Principles of Stability Analysis for Random Accessing with Feedback
Collision Channel with Multiplicity FeedbackCoding Techniques; Coding Techniques and the Two-Access Channel; The Multi-Access Channel in a Network: Stability and Network Coding Issues; Coding for Multiple-Access Collision Channel Without Feedback; Metrics in Coding Theory; Author Index |
| Record Nr. | UNINA-9910784255203321 |
| Amsterdam, Netherlands ; ; Washington, DC, : IOS Press, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiple access technologies for 5G : new approaches and insight / / edited by Jie Zeng [and three others]
| Multiple access technologies for 5G : new approaches and insight / / edited by Jie Zeng [and three others] |
| Pubbl/distr/stampa | Berlin, Germany ; ; Boston, Massachusetts : , : De Gruyter, , [2021] |
| Descrizione fisica | 1 online resource (VII, 146 p.) |
| Disciplina | 621.38456 |
| Collana | De Gruyter STEM |
| Soggetto topico |
5G mobile communication systems
Multiple access protocols (Computer network protocols) |
| ISBN |
3-11-066597-2
3-11-066636-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Chapter 1 Outline of Multiple Access Technology -- Chapter 2 Theoretical Basis of NMA Technology -- Chapter 3 Candidate NMA Technologies in 5G -- Chapter 4 Application of NMA Technologies in 5G -- Index |
| Record Nr. | UNINA-9910554239303321 |
| Berlin, Germany ; ; Boston, Massachusetts : , : De Gruyter, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Next Generation Multiple Access
| Next Generation Multiple Access |
| Autore | Liu Yuanwei |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (624 pages) |
| Disciplina | 004.62 |
| Altri autori (Persone) |
LiuLiang
DingZhiguo ShenXuemin |
| Soggetto topico |
6G mobile communication systems
Multiple access protocols (Computer network protocols) |
| ISBN |
9781394180523
1394180527 9781394180509 1394180500 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Acknowledgments -- Chapter 1 Next Generation Multiple Access Toward 6G -- 1.1 The Road to NGMA -- 1.2 Non‐Orthogonal Multiple Access -- 1.3 Massive Access -- 1.4 Book Outline -- Part I Evolution of NOMA Towards NGMA -- Chapter 2 Modulation Techniques for NGMA/NOMA -- 2.1 Introduction -- 2.2 Space‐Domain IM for NGMA -- 2.2.1 SM‐Based NOMA -- 2.2.1.1 Multi‐RF Schemes -- 2.2.1.2 Single‐RF Schemes -- 2.2.1.3 Recent Developments in SM‐NOMA -- 2.2.2 RSM‐Based NOMA -- 2.2.3 SM‐Aided SCMA -- 2.3 Frequency‐Domain IM for NGMA -- 2.3.1 NOMA with Frequency‐Domain IM -- 2.3.1.1 OFDM‐IM NOMA -- 2.3.1.2 DM‐OFDM NOMA -- 2.3.2 C‐NOMA with Frequency‐Domain IM -- 2.3.2.1 Broadcast Phase -- 2.3.2.2 Cooperative Phase -- 2.4 Code‐Domain IM for NGMA -- 2.4.1 CIM‐SCMA -- 2.4.2 CIM‐MC‐CDMA -- 2.5 Power‐Domain IM for NGMA -- 2.5.1 Transmission Model -- 2.5.1.1 Two‐User Case -- 2.5.1.2 Multiuser Case -- 2.5.2 Signal Decoding -- 2.5.3 Performance Analysis -- 2.6 Summary -- References -- Chapter 3 NOMA Transmission Design with Practical Modulations -- 3.1 Introduction -- 3.2 Fundamentals -- 3.2.1 Multichannel Downlink NOMA -- 3.2.2 Practical Modulations in NOMA -- 3.3 Effective Throughput Analysis -- 3.3.1 Effective Throughput of the Single‐User Channels -- 3.3.2 Effective Throughput of the Two‐User Channels -- 3.4 NOMA Transmission Design -- 3.4.1 Problem Formulation -- 3.4.2 Power Allocation -- 3.4.2.1 Power Allocation within Channels -- 3.4.2.2 Power Budget Allocation Among Channels -- 3.4.3 Joint Resource Allocation -- 3.5 Numerical Results -- 3.6 Conclusion -- References -- Chapter 4 Optimal Resource Allocation for NGMA -- 4.1 Introduction -- 4.2 Single‐Cell Single‐Carrier NOMA -- 4.2.1 Total Power Minimization Problem -- 4.2.2 Sum‐Rate Maximization Problem.
4.2.3 Energy‐Efficiency Maximization Problem -- 4.2.4 Key Features and Implementation Issues -- 4.2.4.1 CSI Insensitivity -- 4.2.4.2 Rate Fairness -- 4.3 Single‐Cell Multicarrier NOMA -- 4.3.1 Total Power Minimization Problem -- 4.3.2 Sum‐Rate Maximization Problem -- 4.3.3 Energy‐Efficiency Maximization Problem -- 4.3.4 Key Features and Implementation Issues -- 4.4 Multi‐cell NOMA with Single‐Cell Processing -- 4.4.1 Dynamic Decoding Order -- 4.4.1.1 Optimal JSPA for Total Power Minimization Problem -- 4.4.1.2 Optimal JSPA for Sum‐Rate Maximization Problem -- 4.4.1.3 Optimal JSPA for EE Maximization Problem -- 4.4.2 Static Decoding Order -- 4.4.2.1 Optimal FRPA for Total Power Minimization Problem -- 4.4.2.2 Optimal FRPA for Sum‐Rate Maximization Problem -- 4.4.2.3 Optimal FRPA for EE Maximization Problem -- 4.4.2.4 Optimal JRPA for Total Power Minimization Problem -- 4.4.2.5 Suboptimal JRPA for Sum‐Rate Maximization Problem -- 4.4.2.6 Suboptimal JRPA for EE Maximization Problem -- 4.5 Numerical Results -- 4.5.1 Approximated Optimal Powers -- 4.5.2 SC‐NOMA versus FDMA-NOMA versus FDMA -- 4.5.3 Multi‐cell NOMA: JSPA versus JRPA versus FRPA -- 4.6 Conclusions -- Acknowledgments -- References -- Chapter 5 Cooperative NOMA -- 5.1 Introduction -- 5.2 System Model for D2MD‐CNOMA -- 5.2.1 System Configuration -- 5.2.2 Channel Model -- 5.3 Adaptive Aggregate Transmission -- 5.3.1 First Phase -- 5.3.2 Second Phase -- 5.4 Performance Analysis -- 5.4.1 Outage Probability -- 5.4.2 Ergodic Sum Capacity -- 5.5 Numerical Results and Discussion -- 5.5.1 Outage Probability -- 5.5.2 Ergodic Sum Capacity -- 5.A.1 Proof of Theorem 5.1 -- References -- Chapter 6 Multi‐scale‐NOMA: An Effective Support to Future Communication-Positioning Integration System -- 6.1 Introduction -- 6.2 Positioning in Cellular Networks -- 6.3 MS‐NOMA Architecture -- 6.4 Interference Analysis. 6.4.1 Single‐Cell Network -- 6.4.1.1 Interference of Positioning to Communication -- 6.4.1.2 Interference of Communication to Positioning -- 6.4.2 Multicell Networks -- 6.4.2.1 Interference of Positioning to Communication -- 6.4.2.2 Interference of Communication to Positioning -- 6.5 Resource Allocation -- 6.5.1 The Constraints -- 6.5.1.1 The BER Threshold Under QoS Constraint -- 6.5.1.2 The Total Power Limitation -- 6.5.1.3 The Elimination of Near‐Far Effect -- 6.5.2 The Proposed Joint Power Allocation Model -- 6.5.3 The Positioning-Communication Joint Power Allocation Scheme -- 6.5.4 Remarks -- 6.6 Performance Evaluation -- 6.6.1 Communication Performance -- 6.6.2 Ranging Performance -- 6.6.3 Resource Consumption of Positioning -- 6.6.3.1 Achievable Positioning Measurement Frequency -- 6.6.3.2 The Resource Element Consumption -- 6.6.3.3 The Power Consumption -- 6.6.4 Positioning Performance -- 6.6.4.1 Comparison by Using CP4A and the Traditional Method -- 6.6.4.2 Comparision Between MS‐NOMA and PRS -- References -- Chapter 7 NOMA‐Aware Wireless Content Caching Networks -- 7.1 Introduction -- 7.2 System Model -- 7.2.1 System Description -- 7.2.2 Content Request Model -- 7.2.3 Random System State -- 7.2.4 System Latency Under Each Random State -- 7.2.5 System's Average Latency -- 7.3 Algorithm Design -- 7.3.1 User Pairing and Power Control Optimization -- 7.3.2 Cache Placement -- 7.3.3 Recommendation Algorithm -- 7.3.4 Joint Optimization Algorithm and Property Analysis -- 7.4 Numerical Simulation -- 7.4.1 Convergence Performance -- 7.4.2 System's Average Latency -- 7.4.3 Cache Hit Ratio -- 7.5 Conclusion -- References -- Chapter 8 NOMA Empowered Multi‐Access Edge Computing and Edge Intelligence -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 System Model and Formulation -- 8.3.1 Modeling of Two‐Sided Dual Offloading. 8.3.2 Overall Latency Minimization -- 8.4 Algorithms for Optimal Offloading -- 8.5 Numerical Results -- 8.6 Conclusion -- Acknowledgments -- References -- Chapter 9 Exploiting Non‐orthogonal Multiple Access in Integrated Sensing and Communications -- 9.1 Introduction -- 9.2 Developing Trends and Fundamental Models of ISAC -- 9.2.1 ISAC: From Orthogonality to Non‐orthogonality -- 9.2.2 Downlink ISAC -- 9.2.3 Uplink ISAC -- 9.3 Novel NOMA Designs in Downlink and Uplink ISAC -- 9.3.1 NOMA‐Empowered Downlink ISAC Design -- 9.3.2 Semi‐NOMA‐Based Uplink ISAC Design -- 9.4 Case Study: System Model and Problem Formulation -- 9.4.1 System Model -- 9.4.1.1 Communication Model -- 9.4.1.2 Sensing Model -- 9.4.2 Problem Formulation -- 9.5 Case Study: Proposed Solutions -- 9.6 Case Study: Numerical Results -- 9.6.1 Convergence of Algorithm 9.1 -- 9.6.2 Baseline -- 9.6.3 Transmit Beampattern -- 9.7 Conclusions -- References -- Part II Massive Access for NGMA -- Chapter 10 Capacity of Many‐Access Channels -- 10.1 Introduction -- 10.2 The Many‐Access Channel Model -- 10.3 Capacity of the MnAC -- 10.3.1 The Equal‐Power Case -- 10.3.2 Heterogeneous Powers and Fading -- 10.4 Energy Efficiency of the MnAC -- 10.4.1 Minimum Energy per Bit for Given PUPE -- 10.4.2 Capacity per Unit‐Energy Under Different Error Criteria -- 10.5 Discussion and Open Problems -- 10.5.1 Scaling Regime -- 10.5.2 Some Practical Issues -- Acknowledgments -- References -- Chapter 11 Random Access Techniques for Machine‐Type Communication -- 11.1 Fundamentals of Random Access -- 11.1.1 Coordinated Versus Uncoordinated Transmissions -- 11.1.2 Random Access Techniques -- 11.1.2.1 ALOHA Protocols -- 11.1.2.2 CSMA -- 11.1.3 Re‐transmission Strategies -- 11.2 A Game Theoretic View -- 11.2.1 A Model -- 11.2.2 Fictitious Play -- 11.3 Random Access Protocols for MTC -- 11.3.1 4‐Step Random Access. 11.3.2 2‐Step Random Access -- 11.3.3 Analysis of 2‐Step Random Access -- 11.3.4 Fast Retrial -- 11.4 Variants of 2‐Step Random Access -- 11.4.1 2‐Step Random Access with MIMO -- 11.4.2 Sequential Transmission of Multiple Preambles -- 11.4.3 Simultaneous Transmission of Multiple Preambles -- 11.4.4 Preambles for Exploration -- 11.5 Application of NOMA to Random Access -- 11.5.1 Power‐Domain NOMA -- 11.5.2 S‐ALOHA with NOMA -- 11.5.3 A Generalization with Multiple Channels -- 11.5.4 NOMA‐ALOHA Game -- 11.6 Low‐Latency Access for MTC -- 11.6.1 Long Propagation Delay -- 11.6.2 Repetition Diversity -- 11.6.3 Channel Coding‐Based Random Access -- References -- Chapter 12 Grant‐Free Random Access via Compressed Sensing: Algorithm and Performance -- 12.1 Introduction -- 12.2 Joint Device Detection, Channel Estimation, and Data Decoding with Collision Resolution for MIMO Massive Unsourced Random Access -- 12.2.1 System Model and Encoding Scheme -- 12.2.1.1 System Model -- 12.2.1.2 Encoding Scheme -- 12.2.2 Collision Resolution Protocol -- 12.2.3 Decoding Scheme -- 12.2.3.1 Joint DAD‐CE Algorithm -- 12.2.3.2 MIMO‐LDPC‐SIC Decoder -- 12.2.4 Experimental Results -- 12.3 Exploiting Angular Domain Sparsity for Grant‐Free Random Access: A Hybrid AMP Approach -- 12.3.1 Sparse Modeling of Massive Access -- 12.3.2 Recovery Algorithm -- 12.3.2.1 Application to Unsourced Random Access -- 12.3.3 Experimental Results -- 12.4 LEO Satellite‐Enabled Grant‐Free Random Access -- 12.4.1 System Model -- 12.4.1.1 Channel Model -- 12.4.1.2 Signal Modulation -- 12.4.1.3 Problem Formulation -- 12.4.2 Pattern Coupled SBL Framework -- 12.4.2.1 The Pattern‐Coupled Hierarchical Prior -- 12.4.2.2 SBL Framework -- 12.4.3 Experimental Results -- 12.5 Concluding Remarks -- Acknowledgments -- References -- Chapter 13 Algorithm Unrolling for Massive Connectivity in IoT Networks. 13.1 Introduction. |
| Record Nr. | UNINA-9911020068103321 |
Liu Yuanwei
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.]
| Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.] |
| Autore | Zhang Lei (Engineering teacher) |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] |
| Descrizione fisica | 1 online resource (xxxii, 288 pages) : illustrations (some color) |
| Disciplina | 621.38456 |
| Collana | Wiley - IEEE |
| Soggetto topico |
5G mobile communication systems
Multiple access protocols (Computer network protocols) |
| ISBN |
1-119-65247-2
1-119-65245-6 1-119-65243-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the editors -- Preface -- Part 1: Waveforms and Mixed-Numerology -- Ch 1: ICI Cancellation Techniques Based on Data Repetition for OFDM Systems -- Ch 2: Generalized Frequency Division Multiplexing: Unified Multicarrier Framework -- Ch 3: Offset Quadrature Amplitude Modulation based Filter Bank Multicarrier System -- Ch 4: Low Electromagnetic Emission Wireless Network Technologies 5G and Beyond -- Ch 5: Filtered OFDM: an Insight into Intrinsic In-Band Interference -- Ch 6: Multi-Numerology Waveform Parameter Assignment in 5G -- Part 2: RAN Slicing and 5G vertical industries -- Ch 7: Network Slicing with Spectrum Sharing -- Ch 8: Access Control and Handoff Policy Design for RAN slicing -- Ch 9: Robust RAN Slicing -- Ch 10: Flexible function split over Ethernet Enabling RAN Slicing -- Ch 11: Service oriented RAN Support of Network Slicing -- Ch 12: 5G Network Slicing for V2X Communications: Technologies and Enablers -- Ch 13: Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems |
| Record Nr. | UNINA-9910554817703321 |
|
Zhang Lei (Engineering teacher)
|
||
| Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.]
| Radio access network slicing and virtualization for 5G vertical industries / / Lei Zhang [et al.] |
| Autore | Zhang Lei (Engineering teacher) |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] |
| Descrizione fisica | 1 online resource (xxxii, 288 pages) : illustrations (some color) |
| Disciplina | 621.38456 |
| Collana | Wiley - IEEE |
| Soggetto topico |
5G mobile communication systems
Multiple access protocols (Computer network protocols) |
| ISBN |
1-119-65247-2
1-119-65245-6 1-119-65243-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the editors -- Preface -- Part 1: Waveforms and Mixed-Numerology -- Ch 1: ICI Cancellation Techniques Based on Data Repetition for OFDM Systems -- Ch 2: Generalized Frequency Division Multiplexing: Unified Multicarrier Framework -- Ch 3: Offset Quadrature Amplitude Modulation based Filter Bank Multicarrier System -- Ch 4: Low Electromagnetic Emission Wireless Network Technologies 5G and Beyond -- Ch 5: Filtered OFDM: an Insight into Intrinsic In-Band Interference -- Ch 6: Multi-Numerology Waveform Parameter Assignment in 5G -- Part 2: RAN Slicing and 5G vertical industries -- Ch 7: Network Slicing with Spectrum Sharing -- Ch 8: Access Control and Handoff Policy Design for RAN slicing -- Ch 9: Robust RAN Slicing -- Ch 10: Flexible function split over Ethernet Enabling RAN Slicing -- Ch 11: Service oriented RAN Support of Network Slicing -- Ch 12: 5G Network Slicing for V2X Communications: Technologies and Enablers -- Ch 13: Optimizing Resource Allocation in URLLC for Real-Time Wireless Control Systems |
| Record Nr. | UNINA-9910829910903321 |
|
Zhang Lei (Engineering teacher)
|
||
| Hoboken, NJ : , : Wiley : , : IEEE Press, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spectrum sharing : the next frontier in wireless networks / / edited by Tharmalingam Ratnarajah, Constantinos B. Papadias, Dirk T.M. Slock
| Spectrum sharing : the next frontier in wireless networks / / edited by Tharmalingam Ratnarajah, Constantinos B. Papadias, Dirk T.M. Slock |
| Pubbl/distr/stampa | Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020 |
| Descrizione fisica | 1 online resource (459 pages) |
| Disciplina | 004.678 |
| Collana | Ieee series |
| Soggetto topico |
Multiple access protocols (Computer network protocols)
Wireless communication systems - Technological innovations |
| ISBN |
1-119-55151-X
1-119-55153-6 1-119-55147-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Abbreviations -- Chapter 1 Introduction: From Cognitive Radio to Modern Spectrum Sharing -- 1.1 A Brief History of Spectrum Sharing -- 1.2 Background -- 1.3 Book overview -- 1.4 Summary -- Chapter 2 Regulation and Standardization Activities Related to Spectrum Sharing -- 2.1 Introduction -- 2.2 Standardization -- 2.2.1 Licensed Shared Access -- 2.2.2 Evolved Licensed Shared Access -- 2.2.3 Citizen Broadband Radio System -- 2.2.4 CBRS Alliance -- 2.3 Regulation
2.3.1 European Conference of Postal and Telecommunications Administrations -- 2.3.2 Federal Communications Commission -- 2.3.3 A Comparison: (e)LSA vs CBRS Regulation Framework -- 2.3.4 Conclusion -- References -- Chapter 3 White Spaces and Database-assisted Spectrum Sharing -- 3.1 Introduction -- 3.2 Demand for Spectrum Outstrips Supply -- 3.2.1 Making Room for New Wireless Technology -- 3.2.2 Unused Spectrum -- 3.3 Three-tier Access Model -- 3.3.1 Secondary Users: Exploiting Gaps left by Primary Users -- 3.3.2 Passive Users: Vulnerable to Transmissions in White Space Frequencies 3.3.3 Opportunistic Spectrum Users -- 3.4 What is Efficient Use of Spectrum? -- 3.4.1 Broadcasters prefer Large Coverage Areas with Lower Spectrum Reuse -- 3.4.2 ISPs Respond to Growing Bandwidth Demand from Subscribers -- 3.4.3 Protection of Primary Users Defines the Scope for Sharing -- 3.5 Tapping Unused Capacity: the Evolution of Spectrum Sharing -- 3.5.1 Traditional Coordination is a Slow and Expensive Process -- 3.5.2 License-exempt Access as the Default Spectrum Sharing Mechanism -- 3.5.3 DSA offers Lower Friction and more Scalability -- 3.5.3.1 Early days of DSA 3.5.3.2 CR: Towards Flexible, Adaptive, Ad Hoc Access -- 3.5.4 Spectrum Databases are Preferred by Regulators -- 3.6 Determining which Frequencies are Available to Share: Technology -- 3.6.1 CR: Its Original Sense -- 3.6.2 DSA is more Pragmatic and Immediately Applicable -- 3.6.3 Spectrum Sensing -- 3.6.3.1 Hidden Nodes: Limiting the Scope/Certainty of Sensing -- 3.6.3.2 Overcoming the Hidden Node Problem: a Cooperative Approach -- 3.6.4 Beacons -- 3.6.5 Spectrum Databases used with Device Geolocation -- 3.7 Implementing Flexible Spectrum Access 3.7.1 Software-defined Radio Underpins Flexibility -- 3.7.2 Regulation Needs to Adapt to the New Flexibility in Radio Devices -- 3.8 Foundations for More Flexible Access in the Future -- 3.8.1 Finer-grained Spectrum Access Management -- 3.8.2 More Flexible License Exemption -- 3.8.2.1 Towards a UHF Spectrum Commons or Superhighway -- References -- Further Reading -- Chapter 4 Evolving Spectrum Sharing Methods, Standards and Trials: TVWS, CBRS, MulteFire and More -- 4.1 Introduction -- 4.2 TV White Space -- 4.2.1 Overview -- 4.2.2 Operating Standards -- 4.2.3 Overview of TVWS Trials and Projects |
| Record Nr. | UNINA-9910555090003321 |
| Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spectrum sharing : the next frontier in wireless networks / / edited by Tharmalingam Ratnarajah, Constantinos B. Papadias, Dirk T.M. Slock
| Spectrum sharing : the next frontier in wireless networks / / edited by Tharmalingam Ratnarajah, Constantinos B. Papadias, Dirk T.M. Slock |
| Pubbl/distr/stampa | Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020 |
| Descrizione fisica | 1 online resource (459 pages) |
| Disciplina | 004.678 |
| Collana | Ieee series |
| Soggetto topico |
Multiple access protocols (Computer network protocols)
Wireless communication systems - Technological innovations |
| ISBN |
1-119-55151-X
1-119-55153-6 1-119-55147-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Abbreviations -- Chapter 1 Introduction: From Cognitive Radio to Modern Spectrum Sharing -- 1.1 A Brief History of Spectrum Sharing -- 1.2 Background -- 1.3 Book overview -- 1.4 Summary -- Chapter 2 Regulation and Standardization Activities Related to Spectrum Sharing -- 2.1 Introduction -- 2.2 Standardization -- 2.2.1 Licensed Shared Access -- 2.2.2 Evolved Licensed Shared Access -- 2.2.3 Citizen Broadband Radio System -- 2.2.4 CBRS Alliance -- 2.3 Regulation
2.3.1 European Conference of Postal and Telecommunications Administrations -- 2.3.2 Federal Communications Commission -- 2.3.3 A Comparison: (e)LSA vs CBRS Regulation Framework -- 2.3.4 Conclusion -- References -- Chapter 3 White Spaces and Database-assisted Spectrum Sharing -- 3.1 Introduction -- 3.2 Demand for Spectrum Outstrips Supply -- 3.2.1 Making Room for New Wireless Technology -- 3.2.2 Unused Spectrum -- 3.3 Three-tier Access Model -- 3.3.1 Secondary Users: Exploiting Gaps left by Primary Users -- 3.3.2 Passive Users: Vulnerable to Transmissions in White Space Frequencies 3.3.3 Opportunistic Spectrum Users -- 3.4 What is Efficient Use of Spectrum? -- 3.4.1 Broadcasters prefer Large Coverage Areas with Lower Spectrum Reuse -- 3.4.2 ISPs Respond to Growing Bandwidth Demand from Subscribers -- 3.4.3 Protection of Primary Users Defines the Scope for Sharing -- 3.5 Tapping Unused Capacity: the Evolution of Spectrum Sharing -- 3.5.1 Traditional Coordination is a Slow and Expensive Process -- 3.5.2 License-exempt Access as the Default Spectrum Sharing Mechanism -- 3.5.3 DSA offers Lower Friction and more Scalability -- 3.5.3.1 Early days of DSA 3.5.3.2 CR: Towards Flexible, Adaptive, Ad Hoc Access -- 3.5.4 Spectrum Databases are Preferred by Regulators -- 3.6 Determining which Frequencies are Available to Share: Technology -- 3.6.1 CR: Its Original Sense -- 3.6.2 DSA is more Pragmatic and Immediately Applicable -- 3.6.3 Spectrum Sensing -- 3.6.3.1 Hidden Nodes: Limiting the Scope/Certainty of Sensing -- 3.6.3.2 Overcoming the Hidden Node Problem: a Cooperative Approach -- 3.6.4 Beacons -- 3.6.5 Spectrum Databases used with Device Geolocation -- 3.7 Implementing Flexible Spectrum Access 3.7.1 Software-defined Radio Underpins Flexibility -- 3.7.2 Regulation Needs to Adapt to the New Flexibility in Radio Devices -- 3.8 Foundations for More Flexible Access in the Future -- 3.8.1 Finer-grained Spectrum Access Management -- 3.8.2 More Flexible License Exemption -- 3.8.2.1 Towards a UHF Spectrum Commons or Superhighway -- References -- Further Reading -- Chapter 4 Evolving Spectrum Sharing Methods, Standards and Trials: TVWS, CBRS, MulteFire and More -- 4.1 Introduction -- 4.2 TV White Space -- 4.2.1 Overview -- 4.2.2 Operating Standards -- 4.2.3 Overview of TVWS Trials and Projects |
| Record Nr. | UNINA-9910819868703321 |
| Hoboken, New Jersey, USA : , : Wiley-IEEE Press, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
