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6G to Build a Sustainable Future
| 6G to Build a Sustainable Future |
| Autore | Uusitalo Mikko A |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 621.3845 |
| Soggetto topico |
6G mobile communication systems
Sustainable engineering |
| ISBN |
1-394-36360-5
1-394-36358-3 1-394-36359-1 9781394363582 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 Introduction -- 1.1 Why Do We Need 6G? -- 1.2 Global View on Development Towards 6G -- 1.3 Structure of the Rest of the Book -- Disclaimer -- Acronyms and Abbreviations -- References -- Chapter 2 Value of 6G -- 2.1 Sustainability and Values -- 2.2 Stakeholders in the 6G System -- 2.2.1 6G Use‐Case Business Ecosystem Stakeholders -- 2.2.1.1 Business Ecosystems' Expansion with 6G -- 2.2.1.2 Sustainability Risk Assessment of the 6G Use Cases -- 2.2.1.3 The Envisioned 6G User -- 2.2.1.4 Indirect 6G User Impact -- 2.2.1.5 Customers and Innovators as Stakeholders -- 2.2.1.6 Risk Mitigation -- 2.2.1.7 Building a Resilient 6G -- 2.2.2 Spectrum Ecosystem Stakeholders -- 2.2.3 Public Ecosystem Stakeholders -- 2.3 6G Use‐Case Families and Use Cases -- 2.3.1 Immersive Experience -- 2.3.2 Physical Awareness -- 2.3.3 Digital Twins -- 2.3.4 Fully Connected World -- 2.3.5 Trusted Environments -- 2.3.6 Collaborative Robots -- 2.4 6G Use Case and Value Design | Cooperating Mobile Robots -- 2.4.1 Human and Planetary Goals -- 2.4.2 Problems to Be Solved and Challenges -- 2.4.3 Why 6G Is Needed -- 2.4.4 Example Scenarios -- 2.4.4.1 Cooperative Carrying with Mobile Robots -- 2.4.4.2 Lot‐Size‐1 Production -- 2.4.4.3 Automated Industrial Tasks -- 2.4.4.4 Autonomous Farming -- 2.4.4.5 Autonomous Construction Site -- 2.4.4.6 Smart Workshop -- 2.4.5 Deployment Aspects -- 2.4.5.1 Environment -- 2.4.5.2 Type of Deployment -- 2.4.5.3 Users and Devices -- 2.4.5.4 Constraints and Challenges -- 2.4.6 Requirements -- 2.4.7 Key Performance Indicators -- 2.4.8 Key Values and Key Value Indicators -- 2.4.9 Feedback into Technical Design -- 2.5 Business Models -- 2.5.1 Business Modelling for 6G Ecosystem -- 2.5.2 Business Modelling for Cooperating Mobile Robots Use Case -- 2.6 Conclusions.
Acknowledgement -- Acronyms and Abbreviations -- References -- Chapter 3 Sustainable 6G Platform -- 3.1 Sustainable 6G System: Principles and Requirements -- 3.1.1 Design Principles -- 3.1.2 Requirements -- 3.1.2.1 Functional Requirements -- 3.1.2.2 Non‐functional Requirements -- 3.2 Blueprint of the Sustainable 6G Platform -- 3.2.1 E2E System Architecture -- 3.2.1.1 Infrastructure Layer -- 3.2.1.2 Network Functions Layer -- 3.2.1.3 Application Enablement Platform Layer -- 3.2.1.4 Application Layer -- 3.2.1.5 Pervasive Functionalities -- 3.2.1.6 Multistakeholder Support -- 3.2.2 Design Process of 6G E2E System -- 3.2.2.1 Top‐Down Versus Bottom‐Up System Design -- 3.2.2.2 Enablers Integration in 6G System: A Knowledge Graph‐Based Approach -- 3.3 Multi‐Stakeholder Intent‐Based Service Management -- 3.3.1 End‐to‐End Multi‐DSP Service Management -- 3.3.1.1 Multi‐DSP Aggregation Service Provisioning -- 3.3.1.2 Multi‐DSP Federation Service Provisioning -- 3.3.2 Intent‐Based Digital Service Manager -- 3.3.2.1 Intent‐Based Interfaces -- 3.3.3 Intent‐Based‐Specific Enablers for a Sustainable E2E Service Management -- 3.3.3.1 E2E Intent‐Driven Service Fulfilment Management -- 3.3.3.2 E2E Intent‐Driven Service Evaluation Management -- 3.3.3.3 E2E Intent‐Driven Closed Loop Coordination -- 3.3.3.4 E2E Intent‐Based Trust Management -- 3.4 E2E Security Concepts -- 3.4.1 Security Controls and Security Enablers -- 3.4.1.1 Physical Context Awareness -- 3.4.1.2 Physical Anomaly Detection -- 3.4.1.3 Physical Layer Deception -- 3.4.1.4 Transparency Services and Level of Trust Assessment -- 3.4.1.5 Data‐Intensive E2E Security Management -- 3.4.1.6 DevSecOps -- 3.4.2 E2E 6G Security -- 3.4.2.1 Infrastructure Layer -- 3.4.2.2 Network Functions Layer -- 3.4.2.3 Application Enablement Platform Layer -- 3.4.2.4 Management and Orchestration -- 3.4.2.5 AI Framework. 3.4.2.6 Data Framework -- 3.4.2.7 Multistakeholder 6G Ecosystem -- 3.4.2.8 Service Exposure and New 6G Services -- 3.5 Conclusion -- Acronyms and Abbreviations -- References -- Chapter 4 6G Transceiver and Radio Design -- 4.1 6G Radio Design Overview -- 4.1.1 6G Radio Scenarios -- 4.1.2 Radio Design Framework -- 4.1.3 Flexible Radio Architecture and Deployment -- 4.2 Transceivers and Antennas -- 4.2.1 Novel Architectures for Transistor‐Based Sub‐THz Systems -- 4.2.1.1 Dimensioning -- 4.2.1.2 Phase Noise Mitigation Utilizing Asymmetrical LO Routing -- 4.2.1.3 Antenna Integration -- 4.2.2 Novel Sub‐THz Transceiver Technologies -- 4.2.2.1 Resonant Tunnelling Diodes -- 4.2.2.2 Photonic Sub‐THz Transceivers -- 4.2.3 RIS Hardware Prototyping and Verification -- 4.3 Channel and Hardware Modelling -- 4.3.1 Short‐Range Measurements and Channel Models in Industrial Scenarios -- 4.3.1.1 Delay Spread Analysis -- 4.3.1.2 Path‐Loss Analysis -- 4.3.1.3 Analysis of the Rician K‐Factor -- 4.3.2 Macroscopic Channel Modelling for RIS -- 4.3.2.1 Fully Ray‐Based Macroscopic Modelling -- 4.3.3 Modelling of Sub‐THz Channel Dispersion in the Presence of Beamforming -- 4.3.4 Modelling of Hardware Non‐Idealities -- 4.3.4.1 Sub‐THz Non‐Idealities Modelling -- 4.3.4.2 FR3 Power Amplifier Modelling -- 4.4 MIMO Architectures and Transmission Schemes -- 4.4.1 Hybrid Architectures Exploiting 'Over‐the‐Air' EM Signal Processing -- 4.4.2 Near‐Field Wavefront Engineering for Integrated Sensing and Communication -- 4.4.2.1 RIS‐Aided Wavefront Engineering -- 4.4.2.2 Near‐Field Angle‐Range Localization for ISAC -- 4.4.3 Massive MIMO with Low‐Resolution Data Converters -- 4.4.4 D‐MIMO and RIS -- 4.4.4.1 Centralized Versus Distributed Beamforming Design in D‐MIMO -- 4.4.4.2 ISAC D‐MIMO, Scalable D‐MIMO -- 4.4.4.3 RIS‐Assisted D‐MIMO, RIS‐Assisted IAB -- 4.5 6G Devices and Infrastructure. 4.5.1 Future Directions for IoT Devices -- 4.5.1.1 Energy Neutral Devices -- 4.5.1.2 Enhanced LPWA -- 4.5.1.3 Intelligence with TinyML -- 4.5.1.4 Security and Privacy Enhancements -- 4.5.2 Secure Integration of SoC Accelerators -- 4.5.2.1 Secure SoC Architecture with Accelerator Integration Support -- 4.5.2.2 AI and DSP Accelerator Capabilities -- 4.5.3 Energy Neutral Device Design -- 4.5.3.1 Energy Harvesting -- 4.5.3.2 Protocols for Active Energy Neutral Devices -- 4.5.3.3 Passive Energy Neutral Devices -- 4.6 Conclusions -- Acronyms and Abbreviations -- References -- Chapter 5 Architecture Enablers for 6G -- 5.1 Novel Services -- 5.1.1 Sensing Functional Architecture -- 5.1.2 Compute Offloading -- 5.1.3 AI as a Service -- 5.1.4 Consumer Application Function Placement Optimization -- 5.2 6G Cloud‐Native Architecture -- 5.2.1 Modular Network Architecture for 6G -- 5.2.2 Inter‐module Interactions and Interfaces -- 5.2.3 Integration of Extreme Edge -- 5.3 Flexible Networks -- 5.3.1 Subnetworks -- 5.3.2 Multi‐connectivity -- 5.3.3 5G-6G Spectrum Co‐existence: Multi‐RAT Spectrum Sharing -- 5.4 Non‐terrestrial Networks -- 5.4.1 Rationale for NTN in 6G -- 5.4.2 NTN Deployment Scenarios -- 5.4.2.1 Frequency Band of the Service Link -- 5.4.2.2 Radio Cells -- 5.4.3 Impact on 6G System Architecture -- 5.4.4 Support of NTN‐TN Integration -- 5.4.4.1 Ubiquitous Connectivity -- 5.4.4.2 Resiliency -- 5.4.4.3 Network Energy Efficiency/Sustainability -- 5.4.4.4 Spectrum Usage Efficiency -- 5.4.5 On‐Board Edge Capabilities -- 5.5 Dependable Networking -- 5.5.1 Enablers for Dependable Networking -- 5.5.1.1 Performance Observability and Predictability -- 5.5.1.2 Dependable Edge Cloud Integration -- 5.5.1.3 Packet Delay Correction for Deterministic Delay Performance -- 5.5.1.4 Network Programmability and Communication-Control-Compute Co‐design. 5.5.1.5 Bringing Dependability to the Multi‐domain Multi‐technology Data Plane -- 5.5.2 Architecture Support for Dependable End‐to‐End Communication with 6G -- 5.6 Radio Protocols -- 5.6.1 Radio Control Plane -- 5.6.2 Radio User Plane -- 5.6.3 Mobility Procedures -- 5.6.4 App‐Network Interactions for Service Differentiation and QoS/QoE Management -- 5.7 Quantum‐Enhanced Network Functionalities -- 5.8 Conclusions -- Acronyms and Abbreviations -- References -- Chapter 6 6G Intelligence -- 6.1 The Motivations for AI/ML in 6G -- 6.1.1 The Needs for Data‐Driven Architecture -- 6.1.2 The Needs for AI/ML for Physical Layer Signal Processing -- 6.1.3 The Needs for AI‐Driven Management and Orchestration -- 6.1.4 The Needs for Trustworthy AI/ML and AI/ML for 6G Trustworthiness -- 6.2 6G System Blueprint: AI/ML‐Specific View -- 6.3 AI‐Native Architecture -- 6.3.1 DataOps -- 6.3.2 MLOps -- 6.3.3 AI as a Service -- 6.4 AI‐Driven Radio Air Interface -- 6.4.1 AI‐Driven Methods for Hardware Impairment Compensation for Communication -- 6.4.2 End‐to‐End Optimized Physical Layer Using AI/ML Algorithms -- 6.4.3 Model‐Based Learning for Hardware Impairment Compensation in ISAC -- 6.4.4 Data‐Driven Sensing with Wireless Signals -- 6.5 Smart Network Management -- 6.5.1 AI‐Based Solutions for Resource Allocation -- 6.5.2 Network Digital Twins -- 6.5.3 Multi‐agent‐Based Solutions for Distributed Services Orchestration -- 6.5.4 AI‐Enabled Network Management -- 6.5.5 Causal AI for Intent‐Based Management -- 6.6 AI/ML and Trustworthiness for 6G -- 6.6.1 AI/ML for Trustworthiness -- 6.6.2 Trustworthy AI/ML for 6G -- 6.7 An Overview of AI/ML Standardizations -- 6.7.1 AI/ML Standardization in 3GPP SA2 -- 6.7.2 AI/ML Standardization in 3GPP SA5 -- 6.7.3 AI/ML Standardization in 3GPP SA6 -- 6.7.4 AI/ML Standardization for Air Interface in 3GPP RAN1/RAN2. 6.7.5 AI/ML Standardization for Air Interface in O‐RAN. |
| Record Nr. | UNINA-9911066119203321 |
Uusitalo Mikko A
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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6G-Enabled Technologies for Next Generation : Fundamentals, Applications, Analysis and Challenges
| 6G-Enabled Technologies for Next Generation : Fundamentals, Applications, Analysis and Challenges |
| Autore | Tyagi Amit Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Wiley, 2024 |
| Descrizione fisica | 1 online resource (459 pages) |
| Disciplina | 621.3845/6 |
| Altri autori (Persone) |
TiwariShrikant
Shivani MishraAnand Kumar |
| Soggetto topico | 6G mobile communication systems |
| ISBN |
9781394258369
1394258364 9781394258345 1394258348 9781394258352 1394258356 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 6G-Enabled Technologies: An Introduction 2 Fundamentals of 6G Networks 3 Next-Generation Air Interfaces for 6G 4 Enabling Technologies for 6G-Based Advanced Applications 5 Security and Privacy in 6G Networks 6 Applications and Use Cases of 6G Technology 7 Network Architecture and Protocols for 6G 8 Energy Efficiency and Sustainability in 6G Networks 9 Performance Evaluation and Optimization in 6G Networks 10 Network Planning and Deployment for 6G-Based Systems in Real World 11 Standardization and Regulatory Aspects for 6G-Based Networks and Systems 12 Economic and Business Perspectives of 6G Technology for Modern Society 13 Ethical and Social Implications of Using Artificial Intelligence in 6G Networks 14 Future Trends and Research Directions for 6G 15 Evolution of Hybrid Li-Fi-Wi-Fi Networks: Technology, Barriers, Advancement, and Future 16 6G-Enabled Emerging Technologies for Next-Generation Society: Challenges and Opportunities 17 Conclusion End User License Agreement |
| Record Nr. | UNINA-9911019979603321 |
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Tyagi Amit Kumar
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| Wiley, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Metaverse Wireless Communication Systems
| Advanced Metaverse Wireless Communication Systems |
| Autore | Imoize Agbotiname Lucky |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2025 |
| Descrizione fisica | 1 online resource (581 pages) |
| Disciplina | 621.384 |
| Altri autori (Persone) |
MontlouisWebert
SongHoubing Herbert |
| Collana | Telecommunications Series |
| Soggetto topico |
Wireless communication systems
6G mobile communication systems |
| ISBN |
1-83724-388-3
1-83953-908-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents -- Preface -- About the editors -- 1. Advanced wireless communication techniques and the metaverse | Webert Montlouis, Ashish Goswami and Agbotiname Lucky Imoize -- 2. Key enablers of metaverse wireless communication | Webert Montlouis, Ashish Goswami and Agbotiname Lucky Imoize -- 3. Enhancing machine learning accuracy in the metaverse: overcoming noise and error in object counting systems | Yuichi Sei, Keiichiro Oishi, Yasuyuki Tahara, Akihiko Ohsuga and Agbotiname Lucky Imoize -- 4. Communication-control co-design for closed-loop metaverse | Qinqin Xiong, Jiaying Zhou, Jie Cao, Xu Zhu and Zeping Sui -- 5. Location-based real-time utilization of reconfigurable intelligent surfaces for mmWave integrated communication and sensing in full-immersive multiuser Metaverse scenarios | Filip Lemic, Jalal Jalali, Gerard Calvo Bartra, Alejandro Amat, Jakob Struye, Jeroen Famaey and Xavier Costa Perez -- 6. Preamble parallelization-based random access management for heterogeneous IoT system in metaverse | Ziming Guo, Xu Zhu, Jie Cao, Dazhuo Wang and Agbotiname Lucky Imoize -- 7. Scalable metaverse-based wireless ecosystem: networked economic valuations | Roberto Moro-Visconti -- 8. Toward a secure metaverse: crafting cutting-edge algorithm for protected data analysis | Keiichiro Oishi, Yasuyuki Tahara, Akihiko Ohsuga, J. Andrew, Agbotiname Lucky Imoize and Yuichi Sei -- 9. Exploring zero-knowledge proofs in the metaverse: applications and challenges | Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov, Kateryna Kuznetsova, Dzianis Kanonik and Oleksandr Domin -- 10. Blockchain applications in metaverse environments: new horizons | Oleksandr Kuznetsov, Emanuele Frontoni, Kateryna Kuznetsova, Oleksii Smirnov and Victoria Kostenko -- 11. Blockchain-based security and privacy solutions for metaverseassisted wireless communication systems | Elsir Ali Saad Mohamed and Agbotiname Lucky Imoize -- 12. Federated learning for the metaverse: leveraging artificial intelligence for enhanced data privacy and efficiency | Zhihao Dong, Jie Cao, Xu Zhu, HaiYong Zeng and Agbotiname Lucky Imoize -- 13. Advancing metaverse security with cryptographic innovations | Oleksandr Kuznetsov, Emanuele Frontoni, Vladyslav Chevardin, Oleksii Smirnov and Agbotiname Lucky Imoize -- 14. Cryptography in the metaverse: advanced protocols for secure communication | Oleksandr Kuznetsov, Emanuele Frontoni, Volodymyr Zvieriev, Olha Bulhakova and Vladyslav Riabovolenko -- 15. Differentially private human interactions for the real world and the metaverse | Yuichi Sei, Keiichiro Oishi, Yasuyuki Tahara, Akihiko Ohsuga and Agbotiname Lucky Imoize -- 16. Transforming ageing in the metaverse: embracing virtual communities for enhanced well-being and empowerment | Andreas Andreou, Constandinos X. Mavromoustakis, Houbing Herbert Song, German Peinado Gomez and Jordi Mongay Batalla -- 17. Wireless tools for neuromarketing and neuromanagement in the metaverse | Antonio Gonzalez-Morales, Ma Milagro Martin Lopez and Alejandro Talaminos-Barroso -- 18. Legal perspectives of the International Scientific Sandbox Metaverse: technologies and foresights for digital transformation | V. Kostenko Oleksii, A. Volkova Yuliia, P. Ustynova Iryna, O. Shapenko Liudmyla and V. Usenko Yana -- 19. Societal impacts of advanced metaverse wireless communication systems | Mikail Batu, Onur Tos and Agbotiname Lucky Imoize -- 20. Advanced metaverse wireless communications: future perspectives and research directions | Agbotiname Lucky Imoize, Emmanuel Alozie, Nasir Faruk, Webert Montlouis and Houbing Herbert Song -- Index |
| Record Nr. | UNINA-9911006730203321 |
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Imoize Agbotiname Lucky
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| Stevenage : , : Institution of Engineering & Technology, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications
| Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications |
| Autore | Masaracchia Antonino |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2024 |
| Descrizione fisica | 1 online resource (270 pages) |
| Disciplina | 621.38456 |
| Altri autori (Persone) |
NguyenKhoi Khac
DuongTrung Q SharmaVishal |
| Collana | Telecommunications Series |
| Soggetto topico |
6G mobile communication systems
Artificial intelligence |
| ISBN |
1-83724-384-0
1-83953-642-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents -- Preface -- About the authors -- Part I. Introduction to machine learning and neural networks -- 1. Artificial intelligence, machine learning, and deep learning -- 2. Deep neural networks -- Part II. Deep reinforcement learning -- 3. Markov decision process -- 4. Value function approximation for continuous state-action space -- 5. Policy search methods for reinforcement learning -- 6. Actor-critic learning -- Part III. Deep reinforcement learning in UAV-assisted 6G communication -- 7. UAV-assisted 6G communications -- 8. Distributed deep deterministic policy gradient for power allocation control in UAV-to-UAV-based communications -- 9. Non-cooperative energy-efficient power allocation game in UAV-to-UAV communication: a multi-agent deep reinforcement learning approach -- 10. Real-time energy harvesting-aided scheduling in UAV-assisted D2D networks -- 11. 3D trajectory design and data collection in UAV-assisted networks -- Part IV. Deep reinforcement learning in reconfigurable intelligent surface-empowered 6G communications -- 12. RIS-assisted 6G communications -- 13. Real-time optimisation in RIS-assisted D2D communications -- 14. RIS-assisted UAV communications for IoT with wireless power transfer using deep reinforcement learning -- 15. Multi-agent learning in networks supported by RIS and multi-UAVs -- Index |
| Record Nr. | UNINA-9911006720403321 |
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Masaracchia Antonino
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| Stevenage : , : Institution of Engineering & Technology, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Development of 6G Networks and Technology
| Development of 6G Networks and Technology |
| Autore | Tripathi Suman Lata |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (476 pages) |
| Disciplina | 621.3845/6 |
| Altri autori (Persone) |
MahmudMufti
NarmadhaC Albert AlexanderS |
| Collana | Next Generation Computing and Communication Engineering Series |
| Soggetto topico | 6G mobile communication systems |
| ISBN |
9781394230662
1394230664 9781394230686 1394230680 9781394230679 1394230672 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgements -- Chapter 1 Introduction to AI Techniques for 6G Application -- 1.1 Introduction -- 1.2 Different Generation of Communication: From 1G to 6G -- 1.2.1 First Generation (1G) -- 1.2.2 Second Generation (2G) -- 1.2.3 Third Generation (3G) -- 1.2.4 Fourth Generation (4G) -- 1.2.5 Fifth Generation (5G) -- 1.2.6 Sixth Generation (6G) -- 1.3 Key Features and Requirements of 6G Networks -- 1.3.1 Faster Data Speeds -- 1.3.2 Ultra-Low Latency -- 1.3.3 Massive Capacity -- 1.3.4 Energy Efficiency -- 1.3.5 Seamless Connectivity -- 1.3.6 Advanced Spectrum Management -- 1.3.7 Enhanced Security and Privacy -- 1.3.8 Artificial Intelligence Integration -- 1.3.9 Heterogeneous Network Architecture -- 1.4 Role of Artificial Intelligence in 6G -- 1.4.1 Intelligent Radio Resource Management -- 1.4.2 Beamforming and MIMO -- 1.4.3 Intelligent Network Slicing |
| Record Nr. | UNINA-9911019597103321 |
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Tripathi Suman Lata
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Twins For 6G : Fundamental Theory, Technology and Applications
| Digital Twins For 6G : Fundamental Theory, Technology and Applications |
| Autore | Ahmadi Hamed |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2024 |
| Descrizione fisica | 1 online resource (321 pages) |
| Disciplina | 621.38456 |
| Altri autori (Persone) |
DuongTrung Q
NagAvishek SharmaVishal CanberkBerk DobreOctavia A |
| Collana | Telecommunications Series |
| Soggetto topico |
Digital twins (Computer simulation)
6G mobile communication systems |
| ISBN |
9781523163120
1523163127 9781839537462 1839537469 1-83724-386-7 1-5231-6312-7 1-83953-746-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Contents -- About the editors -- Preface -- 1. Digital twins for resilient and reliable 6G networks | Fahad Alaklabi, Ahmed Al-Tahmeesschi, Avishek Nag and Hamed Ahmadi -- 2. Digital twin-enabled aerial edge networks with ultra-reliable low-latency communications | Dang Van Huynh, Yijiu Li, Tan Do-Duy, Emi Garcia-Palacios and Trung Q. Duong -- 3. AI-enabled data management for digital twin networks | Elif Ak, Gökhan Yurdakul, Ahmed Al-Dubai and Berk Canberk -- 4. AI-based traffic analysis in digital twin networks | Sarah Al-Shareeda, Khayal Huseynov, Lal Verda Cakir, Craig Thomson, Mehmet Ozdem and Berk Canberk -- 5. Digital twin empowered Open RAN of 6G networks | Antonino Masaracchia, Vishal Sharma, Muhammad Fahim, Octavia A. Dobre and Trung Q. Duong -- 6. Potentials of the digital twin in 6G communication systems | Bin Han, Mohammad Asif Habibi, Nandish Kuruvatti, Sanket Partani, Amina Fellan and Hans D. Schotten -- 7. Digital twins for optical networks | Agastya Raj, Dan Kilper and Marco Ruffini -- 8. Dynamic decomposition of service function chain using a deep reinforcement learning approach | Swarna B. Chetty, Hamed Ahmadi, Massimo Tornatore and Avishek Nag -- 9. An Optimization-as-a-Service platform for 6G exploiting network digital twins | Oriol Sallent, José-Manuel Martínez-Caro, Javier Baliosian, Luis Diez, Luis M. Contreras, Jordi Pérez-Romero, Juan Luis Gorricho, Matías Richart, Ramón Agüero, Joan Serrat, Pablo Pavón-Mariño and Irene Vilà -- 10. Robotics digital twin for 6G | Milan Groshev, Carlos Guimarães and Antonio de la Oliva -- Index |
| Record Nr. | UNINA-9911006666903321 |
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Ahmadi Hamed
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| Stevenage : , : Institution of Engineering & Technology, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Edge Computing Acceleration : From 5G to 6G and Beyond
| Edge Computing Acceleration : From 5G to 6G and Beyond |
| Autore | Hung Patrick |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (273 pages) |
| Disciplina | 004.6/5 |
| Altri autori (Persone) |
KanHongwei
KnopfGreg |
| Collana | The ComSoc Guides to Communications Technologies Series |
| Soggetto topico |
Computer architecture
5G mobile communication systems 6G mobile communication systems |
| ISBN |
1-119-81385-9
1-119-81386-7 1-119-81387-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Authors -- Foreword (Professor Ray Cheung) -- Foreword (Raghu Nambiar) -- Preface -- Acknowledgment (Patrick Hung) -- Acknowledgment (Greg Knopf) -- Part I Introduction -- Chapter 1 Introduction -- 1.1 Introducing 5G and Internet of Everything -- 1.2 Edge Computing Architecture -- 1.2.1 Edge Versus Cloud Computing -- 1.2.2 Edge Design Options -- 1.2.3 Key Benefits of Edge Computing -- 1.3 Custom Computing -- 1.3.1 Introduction to Custom Computing -- 1.3.2 5G/6G Security Concerns -- 1.3.3 Custom Edge Computing Cards -- 1.4 Deployment Considerations -- 1.4.1 5G/6G Cell Architecture -- 1.4.2 5G/6G Private Network -- 1.4.3 Infrastructure Sharing -- References -- Chapter 2 Overview of 5G and 6G -- 2.1 5G Timeline -- 2.2 5G Spectrum -- 2.3 Characteristics of 5G -- 2.4 5G New Radio -- 2.4.1 Orthogonal Frequency‐Division Multiplexing -- 2.4.2 Massive MIMO -- 2.4.3 Beamforming -- 2.4.4 Multiuser MIMO -- 2.5 Data Plane and Control Plane Separation -- 2.6 5G Applications -- 2.7 Smooth Transition to 6G -- 2.8 6G Expected Timeline, Spectrum, and Characteristics -- 2.9 6G Potential Applications -- 2.10 Edge, Fog, and Cloud Computing in Relation to 5G and 6G -- 2.10.1 Edge Computing in Relation to 5G and 6G -- 2.10.2 Fog Computing in Relation to 5G and 6G -- 2.10.3 Cloud Computing in Relation to 5G and 6G -- References -- Part II Theory -- Chapter 3 High‐Level Synthesis (HLS) -- 3.1 Why Use High‐Level Synthesis? -- 3.1.1 Hardware Acceleration with High‐Level Synthesis -- 3.2 Common HLS Languages and Platforms -- 3.2.1 Compute Unified Device Architecture (CUDA) -- 3.2.1.1 CUDA and HLS for Hardware Acceleration -- 3.2.1.2 Advantage of Using CUDA and HLS for Hardware Acceleration -- 3.2.2 OpenCL -- 3.2.2.1 OpenCL and HLS for Hardware Acceleration.
3.2.2.2 Advantages of Using OpenCL with HLS Tools for Hardware Acceleration -- 3.2.3 Maxeler MaxJ -- 3.2.3.1 Using Maxeler MaxJ with HLS for Hardware Acceleration -- 3.2.3.2 Advantages of Using Maxeler MaxJ with HLS for Hardware Acceleration -- 3.3 Limitations and Challenges of HLS -- 3.4 Using HLS in 5G Edge Computing -- 3.4.1 User (Data) Plane Acceleration -- 3.4.2 Control Plane Acceleration -- 3.4.3 Advantages of Using HLS for User Plane and Control Plane Acceleration -- References -- Chapter 4 Coding Design -- 4.1 Overview -- 4.2 Error Correction Codes (ECCs) -- 4.2.1 Turbo, Low‐Density Parity‐Check, and Polar Codes -- 4.2.1.1 Turbo Codes -- 4.2.1.2 LDPC Codes -- 4.2.1.3 Polar Codes -- 4.3 Security Codes -- 4.3.1 Public Key Infrastructure -- 4.3.2 Symmetric and Asymmetric Cryptography Concepts -- 4.3.2.1 Symmetric Key Cryptography -- 4.3.2.2 Asymmetric Key Cryptography -- 4.3.3 Existing Algorithms and Standards -- 4.3.3.1 Advanced Encryption Standard -- 4.3.3.2 RSA Algorithm -- 4.3.3.3 Elliptic Curve Cryptography -- 4.4 Emerging 5G Security Design Acceleration -- 4.4.1 Blockchain -- 4.4.2 Lightweight Encryption Algorithms -- 4.4.2.1 SIMON and SPECK Algorithms -- 4.4.2.2 PRESENT Algorithm -- 4.4.2.3 GIFT Algorithm -- 4.4.3 Network Codes -- 4.4.4 Post‐Quantum Cryptography -- 4.4.5 Homomorphic Encryption -- 4.4.6 Zero‐Knowledge Proof -- References -- Part III Architecture -- Chapter 5 Hardware Architecture -- 5.1 Development Timeline -- 5.2 Operating Spectrum -- 5.3 Core Requirements -- 5.4 New Radio Access Technology -- 5.4.1 Orthogonal Frequency‐Division Multiplexing -- 5.4.2 Massive MIMO (Multiple‐Input Multiple‐Output) -- 5.4.3 Beamforming -- 5.4.4 Multiuser MIMO -- 5.5 Network Architecture -- 5.5.1 Next Generation Radio Access Network -- 5.5.2 5G Core -- 5.5.2.1 Control and User Plane Separation (CUPS). 5.5.2.2 Service‐Based Architecture (SBA) -- 5.6 Performance Improvement -- 5.6.1 Computing and Network Convergence -- 5.6.2 Related Works -- 5.6.3 Smart& -- uscore -- xPU Design Methodology -- 5.6.3.1 Data Flow Optimization -- 5.6.3.2 Distributed System Optimization -- 5.6.3.3 Core Microarchitecture Optimization -- 5.6.3.4 Software/Hardware Interface Optimization -- 5.6.3.5 Analyzing the Smart& -- uscore -- xPU Architecture -- 5.6.4 Summary of the Smart& -- uscore -- xPU Architecture -- References -- Chapter 6 Software Architecture -- 6.1 End‐to‐End Example of 5G System -- 6.1.1 High‐Level Description -- 6.1.1.1 5G Radio Access Network -- 6.1.1.2 Edge -- 6.1.1.3 5G Core -- 6.1.1.4 Application and Services -- 6.1.2 Interfaces -- 6.1.2.1 N1: Between 5G Core and User Equipment -- 6.1.2.2 N2: Between 5G Core and Base Station -- 6.1.2.3 N3: Between RAN and User Plane Function -- 6.1.2.4 Other Interfaces Include the Following -- 6.2 Network Slicing Architecture, Software‐Defined Network, and Network Function Virtualization -- 6.2.1 Network Slicing Architecture -- 6.2.1.1 Software‐Defined Network (SDN) -- 6.2.1.2 Network Function Virtualization (NFV) -- 6.3 Software Acceleration -- 6.3.1 User Space Approach -- 6.3.1.1 Data Plane Development Kit (DPDK) -- 6.3.2 Other Approaches -- 6.3.2.1 Remote Direct Memory Access (RDMA) -- 6.3.2.2 Compute Express Link (CXL) -- 6.3.2.3 Data Processing Unit (DPU) -- References -- Part IV Applications -- Chapter 7 Killer Applications -- 7.1 Metaverse and Its Trends -- 7.2 Technologies Behind Metaverse -- 7.2.1 Artificial Intelligence -- 7.2.1.1 AI‐Based Non‐player Character -- 7.2.1.2 Sensory Capabilities with AI -- 7.2.2 Blockchain -- 7.2.2.1 Power Consumption -- 7.2.3 AR and VR -- 7.2.4 Internet of Things -- 7.3 Applications of Metaverse -- 7.3.1 Gaming -- 7.3.2 Education -- 7.3.3 Commerce. 7.3.4 Social Networking -- 7.3.5 Healthcare -- 7.3.6 Industrial Use -- 7.3.7 Entertainment -- 7.4 Accelerating Killer Apps -- 7.4.1 Edge Computing -- 7.4.2 Acceleration by Specialized Hardware -- References -- Chapter 8 From Concept to Production -- 8.1 System Design Process -- 8.2 Some Examples -- 8.3 Standards Compliance -- 8.4 Other Design Metrics -- 8.5 Summary -- References -- Part V Future Roadmap -- Chapter 9 The Road Ahead -- 9.1 Spatial Computing and Networking -- 9.2 Supporting 5G/6G Spatial Computing and Networking -- 9.3 Migrating to 6G -- 9.3.1 Cutting Edge 6G Research -- 9.4 Enabling Technologies for 5G and Beyond -- 9.4.1 Processing‐in‐Memory Architecture -- 9.4.2 New Packaging Architecture -- 9.4.3 New Memory Architecture -- 9.4.4 Artificial Intelligence‐Driven Architectures -- 9.5 Some Final Thoughts -- References -- Index -- The ComSoc Guides to Communications Technologies -- EULA. |
| Record Nr. | UNINA-9911019503203321 |
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Hung Patrick
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Edge intelligence for 6G-enabled Industrial Internet of Things / / edited by Sita Rani, Pankaj Bhambri, Balamurugan Balusamy, Rishabha Malviya, Seifedine Kadry
| Edge intelligence for 6G-enabled Industrial Internet of Things / / edited by Sita Rani, Pankaj Bhambri, Balamurugan Balusamy, Rishabha Malviya, Seifedine Kadry |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley |
| Descrizione fisica | 1 online resource (xxiii, 413 pages) : illustrations (chiefly color) |
| Soggetto topico |
Internet of things
6G mobile communication systems Artificial intelligence Edge computing |
| ISBN |
9781394305407
9781394305391 9781394305414 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Edge intelligence for sixth-generation wireless enabled Industrial IoT |
| Record Nr. | UNINA-9911113363503321 |
| Hoboken, NJ : , : Wiley | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hybrid Communication Systems for Future 6G and Beyond : Visible Light Communication and Radio over Fiber Technology
| Hybrid Communication Systems for Future 6G and Beyond : Visible Light Communication and Radio over Fiber Technology |
| Autore | Kashif Rao |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Wiley, 2024 |
| Descrizione fisica | 1 online resource (160 pages) |
| Disciplina | 621.382/7 |
| Soggetto topico |
Optical communications
FiWi access networks 6G mobile communication systems |
| ISBN |
9781394230310
1394230311 9781394230303 1394230303 9781394230297 139423029X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Author -- Acknowledgments -- Introduction -- Chapter 1 Introduction -- 1.1 Overview -- 1.2 Radio Frequency Communication -- 1.2.1 Limitations for Future RF Communication -- 1.2.1.1 Spectrum Congestion -- 1.2.1.2 Limited Bandwidth -- 1.2.1.3 Line‐of‐Sight Requirements -- 1.2.1.4 Signal Attenuation and Interference -- 1.2.1.5 Security Concerns -- 1.2.1.6 Energy Efficiency -- 1.3 Optical Communication -- 1.3.1 Future Opportunities for Optical Communication -- 1.3.1.1 High Data Rates -- 1.3.1.2 Low Latency -- 1.3.1.3 Large Bandwidth -- 1.3.1.4 Immunity to Electromagnetic Interference -- 1.3.1.5 Secure Communication -- 1.3.1.6 Energy Efficiency -- 1.4 Hybrid System -- 1.4.1 Scope of Hybrid Communication -- 1.4.1.1 Seamless Connectivity -- 1.4.1.2 Enhanced Reliability -- 1.4.1.3 Improved Performance -- 1.4.1.4 Flexibility and Scalability -- 1.4.1.5 Multimodal Communication -- 1.4.1.6 Advanced Applications -- 1.5 History of Visible Light Communication -- 1.5.1 Ancient Signaling Methods -- 1.5.2 Optical Telegraphs -- 1.5.3 Alexander Graham Bell's Photophone (1880) -- 1.5.4 Invention of Light Emitting Diodes (LEDs) -- 1.5.5 Early Research into VLC (1990s-2000s) -- 1.5.6 Harald Haas and Li‐Fi (2011) -- 1.5.7 Technological Advancements -- 1.5.8 Standardization Efforts -- 1.5.9 Integration with Modern Communication Systems -- 1.5.10 Current Trends and Future Prospects -- 1.6 Visible Light Communication -- 1.6.1 Problem 1 -- 1.6.1.1 Current Industry Trend -- 1.6.1.2 Possible Solution -- 1.6.2 Problem 2 -- 1.6.2.1 Current Industry Trend -- 1.6.2.2 Possible Solution -- 1.6.3 Opti Wave System Tool -- References -- Chapter 2 Visible Light Communication -- 2.1 Overview -- 2.2 Background -- 2.3 VLC for Indoor Communication -- 2.4 Opportunities and Limitations -- 2.4.1 Applications.
2.5 Modulation Techniques -- 2.5.1 On-Off Keying -- 2.5.2 Pulse Width Modulation -- 2.5.3 Pulse Position Modulation (PPM) -- 2.5.4 Orthogonal Frequency Division Multiplexing -- 2.5.5 Color Shift Keying -- 2.5.6 Optical Asymmetric Modulation -- 2.5.7 Discrete Multi‐Tone (DMT) -- 2.6 Light Fidelity and Wireless Fidelity Comparison -- 2.7 VLC Transmitter and Receiver -- 2.7.1 VLC Transmitter -- 2.7.2 VLC Receiver -- References -- Chapter 3 Radio over Fiber System -- 3.1 Overview -- 3.1.1 Direct Modulation -- 3.1.2 External Modulation -- 3.2 Radio over Fiber Link Configuration -- 3.2.1 Radio Frequency over Fiber -- 3.2.2 Intermediate Frequency over Fiber -- 3.2.3 Baseband over Fiber -- 3.2.4 Millimeter‐Wave Signal Generation -- 3.2.5 Applications -- 3.2.5.1 Satellite Communication -- 3.2.5.2 Cellular Networks -- 3.2.5.3 Transportation and Vehicles -- 3.2.5.4 Visible Light Communication -- 3.3 Radio over Fiber System‐Level Analysis -- 3.3.1 Encoding Formats -- 3.3.2 PIN and APD Photodiodes -- 3.4 Simulation -- 3.4.1 Result -- 3.5 Future Multifunctional RoF Home Network -- 3.5.1 Fiber to the Home (FTTH) -- 3.5.2 Multifrequency RoF System Design -- References -- Chapter 4 Digital Coherent Integration with Radio over Fiber -- 4.1 Digital Coherent System Analysis -- 4.1.1 DP‐QPSK Transmitter -- 4.1.2 Digital Coherent Optical Receiver -- 4.1.3 Optical Integration Technology -- 4.1.3.1 PLC Technology -- 4.1.3.2 Optical Semiconductor -- 4.1.3.3 High‐Speed Electronic Devices -- 4.1.4 Digital Signal Processing in a Coherent Receiver -- 4.2 Software Implementation -- 4.3 Digital Coherent RoF System Analysis -- 4.3.1 Proposed System Design and Analysis -- 4.3.2 Simulation -- References -- Chapter 5 Proposed Hybrid System for Indoor VLC -- 5.1 Overview -- 5.1.1 Backhaul Connection -- 5.1.2 Uplink Connectivity -- 5.2 Proposed System Design -- 5.2.1 OFDM Coherent RoF. 5.2.1.1 Architecture Design -- 5.2.2 Modeling in OptiSystem 15 -- 5.3 Proposed Auto Channel Switching Unit (ACSU) -- 5.3.1 Modeling of the Auto Channel Switching Unit (ACSU) -- 5.4 Feasibility Analysis -- 5.4.1 Technical Feasibility -- 5.4.2 Cost‐Benefits Analysis -- References -- Chapter 6 Proposed Indoor Hybrid System Modeling -- 6.1 Modeling of Indoor Hybrid System for VLC -- 6.2 VLC and RoF Indoor Downloading -- 6.3 Wi‐Fi and RoF for Indoor Purposes -- Chapter 7 Conclusion and Future Work -- 7.1 Conclusion -- 7.2 Future Work -- 7.3 Applications of VLC in 6G and Above Communication -- 7.3.1 High‐Speed Data Transfer -- 7.3.1.1 High Bandwidth -- 7.3.1.2 Spectral Efficiency -- 7.3.1.3 Short‐Range Communication -- 7.3.1.4 Low Latency -- 7.3.1.5 Integration with Existing Infrastructure -- 7.3.1.6 Security and Privacy -- 7.3.1.7 Complementary to RF Technologies -- 7.3.2 Indoor Localization and Navigation -- 7.3.2.1 Precise Positioning -- 7.3.2.2 Multilayered Positioning -- 7.3.2.3 Low Latency -- 7.3.2.4 High‐Density Deployment -- 7.3.2.5 Complementary to GPS -- 7.3.2.6 Integration with Smart Lighting -- 7.3.2.7 Privacy and Security -- 7.3.3 Augmented Reality (AR) and Virtual Reality (VR) -- 7.3.3.1 Low Latency Communication -- 7.3.3.2 High Bandwidth -- 7.3.3.3 Indoor Localization and Positioning -- 7.3.3.4 Interactive Projection Mapping -- 7.3.3.5 Gesture Recognition -- 7.3.3.6 Privacy and Security -- 7.3.3.7 Multiuser Collaboration -- 7.3.4 Smart Infrastructure and Internet of Things (IoT) -- 7.3.4.1 Smart Lighting Systems -- 7.3.4.2 Indoor Positioning and Navigation -- 7.3.4.3 Environmental Monitoring -- 7.3.4.4 Smart Retail and Hospitality -- 7.3.4.5 Smart Transportation -- 7.3.4.6 Industrial Automation -- 7.3.4.7 Energy Harvesting -- 7.3.5 Telecommunication/Wireless -- 7.3.5.1 Indoor Wireless Networking -- 7.3.5.2 Li‐Fi. 7.3.5.3 Last‐Mile Connectivity -- 7.3.5.4 Secure Communications -- 7.3.5.5 Smart Cities -- 7.3.5.6 Augmented Reality (AR) and Location‐Based Services -- 7.3.5.7 Vehicle‐to‐Infrastructure (V2I) Communication -- Chapter 8 The Role of AI and Machine Learning in 6G -- 8.1 Overview of AI and ML Concepts -- 8.1.1 Key AI and ML Concepts -- 8.2 Evolution of AI in Telecommunications -- 8.2.1 Early Adoption (1980s-1990s) -- 8.2.2 Growth Phase (2000s) -- 8.2.3 Modern Era (2010s) -- 8.2.4 Current Trends (2020s) -- 8.2.5 Future Directions (2030s and beyond) -- 8.3 Why AI and ML are Critical for 6G -- 8.4 Applications of AI and ML in Wireless Networks -- 8.4.1 Network Management and Optimization -- 8.4.2 Enhanced User Experience -- 8.4.3 Security and Fraud Detection -- 8.4.4 Predictive Maintenance and Fault Management -- 8.4.5 Advanced Communication Techniques -- 8.4.6 Edge Computing and IoT -- 8.5 6G and Visible Light Communication (VLC) -- 8.5.1 Ultrahigh‐Speed Data Transmission -- 8.5.2 Enhanced Indoor Localization and Positioning -- 8.5.3 Secure and Resilient Communication -- 8.5.4 Energy‐Efficient Networking -- 8.5.5 Overcoming RF Limitations and Interference -- Chapter 9 Future Research Directions for Visible Light Communication (VLC) in 6G Networks -- 9.1 VLC with Terahertz -- 9.1.1 Research Focus: Investigate Seamless Integration of VLC with Terahertz (THz) Communication Technologies -- 9.1.1.1 Complementary Strengths -- 9.1.1.2 Applications -- 9.1.1.3 Research Directions -- 9.2 Enhanced Modulation and Coding Schemes -- 9.2.1 Research Focus: Develop Advanced Modulation and Coding Techniques Tailored for VLC in 6G Networks -- 9.2.1.1 Key Areas of Research -- 9.3 Hybrid VLC‐RF Networks -- 9.3.1 Research Focus: Explore Hybrid Visible Light Communication (VLC) and Radio Frequency (RF) Network Architectures to Enhance Both Coverage and Reliability. 9.3.1.1 Key Points -- 9.3.1.2 Challenges -- 9.3.1.3 Potential Solutions and Approaches -- 9.3.1.4 Collaborative Communication Strategies -- 9.4 Massive MIMO and Beamforming Techniques -- 9.4.1 Research Focus: Investigate the Integration of Massive Multiple‐Input Multiple‐Output (MIMO) and Beamforming Techniques Within Visible Light Communication (VLC)‐Enabled 6G Networks -- 9.4.1.1 Key Points -- 9.4.1.2 Challenges -- 9.4.1.3 Potential Solutions and Approaches -- 9.5 Network Slicing and Service Differentiation -- 9.5.1 Research Focus: Explore Network Slicing and Service Differentiation Mechanisms Tailored for Visible Light Communication (VLC) Networks Within the Context of 6G -- 9.5.1.1 Key Points -- 9.5.1.2 Challenges -- 9.5.1.3 Potential Solutions and Approaches -- 9.5.1.4 Application Scenarios -- 9.6 Energy‐Efficient VLC Systems -- 9.6.1 Research Focus: Develop Energy‐Efficient Visible Light Communication (VLC) Systems Tailored for Sustainable 6G Networks -- 9.6.1.1 Key Points -- 9.6.1.2 Challenges -- 9.6.1.3 Potential Solutions and Approaches -- 9.6.1.4 Application Scenarios -- 9.7 Security and Privacy Enhancements -- 9.7.1 Research Focus: Investigate Advanced Security and Privacy Mechanisms Specifically Designed for Visible Light Communication (VLC) in 6G Networks -- 9.7.1.1 Key Points -- 9.7.1.2 Challenges -- 9.7.1.3 Potential Solutions and Approaches -- 9.7.1.4 Application Scenarios -- Index -- EULA. |
| Record Nr. | UNINA-9911020332703321 |
|
Kashif Rao
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| Wiley, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Spectrum Management : Towards 6G
| Intelligent Spectrum Management : Towards 6G |
| Autore | Iyer Sridhar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Wiley, 2024 |
| Descrizione fisica | 1 online resource (307 pages) |
| Disciplina | 621.3845/6 |
| Altri autori (Persone) |
KallaAnshuman
Alcaraz LópezOnel De AlwisChamitha |
| Soggetto topico |
Radio frequency allocation - Management
6G mobile communication systems Mobile communication systems Artificial intelligence |
| ISBN |
9781394201228
1394201222 9781394201211 1394201214 9781394201235 1394201230 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Editors Section I Section II Section III Section IV End User License Agreement |
| Record Nr. | UNINA-9911018942203321 |
|
Iyer Sridhar
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| Wiley, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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