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Intelligent resource management in vehicular networks / / Haixia Peng, Qiang Ye, and Xuemin Shen
Intelligent resource management in vehicular networks / / Haixia Peng, Qiang Ye, and Xuemin Shen
Autore Peng Haixia
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (163 pages)
Disciplina 388.312
Collana Wireless Networks
Soggetto topico Vehicular ad hoc networks (Computer networks) - Safety measures
Vehicular ad hoc networks (Computer networks)
ISBN 3-030-96507-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Overview of Vehicular Networks -- 1.1.1 Vehicular Network Applications -- 1.1.2 Vehicular Network Characteristics -- 1.1.3 Vehicular Network Classifications -- 1.1.4 Overview of Vehicular Communication Technologies -- 1.2 Challenges in Vehicular Networks -- 1.2.1 Vehicular Information Sharing -- 1.2.2 Task Computing -- 1.3 Resource Management in Vehicular Networks -- 1.3.1 Spectrum Resource Management -- 1.3.2 Computing Resource Management -- 1.3.3 Intelligent Multi-Resource Management -- 1.3.3.1 Methodology -- 1.4 Aim of the Monograph -- 1.5 Summary -- References -- 2 MEC-Assisted Vehicular Networking -- 2.1 MEC-Assisted ADVNET Architecture -- 2.1.1 Problem Statement -- 2.1.2 Architecture Design -- 2.2 SDN-Enabled Resource Management -- 2.2.1 Computing and Storage Resource Management -- 2.2.2 Spectrum Management -- 2.2.3 Open Research Issues -- 2.3 Aerial-Assisted Vehicular Network: Case Study -- 2.3.1 A Drone-Assisted MVNET Architecture -- 2.3.2 Intelligent Resource Management -- 2.3.3 Case Study -- 2.4 Summary -- References -- 3 Spectrum Slicing in MEC-Assisted ADVNETs -- 3.1 System Model -- 3.1.1 Dynamic Slicing Framework -- 3.1.2 Communication Model -- 3.2 Resource Management Scheme -- 3.2.1 Network-Level Spectrum Reservation -- 3.2.2 Vehicle-Level Spectrum Reservation -- 3.2.3 Transmit Power Control -- 3.3 Problem Analysis and Suboptimal Solution -- 3.3.1 Problem Analysis -- 3.3.2 Algorithm Design -- 3.4 Simulation Results -- 3.5 Summary -- References -- 4 Intelligent Multi-Dimensional Resource Allocation in MVNETs -- 4.1 System Model -- 4.1.1 Spectrum, Computing, and Caching Allocation -- 4.2 Problem Formulation and Transformation -- 4.2.1 Problem Formulation -- 4.2.2 Problem Transformation with DRL -- 4.3 DDPG Algorithm Based Solution -- 4.3.1 DDPG-Based Algorithm.
4.3.2 HDDPG-Based Algorithm -- 4.4 Simulation Results and Analysis -- 4.5 Summary -- References -- 5 Aerial-Assisted Intelligent Resource Allocation -- 5.1 System Model and Problem Formulation -- 5.1.1 UAV-Assisted MVNET -- 5.1.2 Resource Reservation Models -- 5.1.3 Problem Formulation -- 5.2 Centralized/Distributed Multi-Dimensional ResourceManagement -- 5.2.1 Problem Transformation -- 5.2.2 SADDPG/MADDPG-Based Solutions -- 5.3 Simulation Results -- 5.3.1 Performance Evaluation for the SADDPG-Based Scheme -- 5.3.2 Performance Evaluation for the MADDPG-BasedScheme -- 5.4 Summary -- References -- 6 Conclusions and Future Research Directions -- 6.1 Conclusions -- 6.2 Future Research Directions -- References -- Index.
Record Nr. UNISA-996464537403316
Peng Haixia  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Intelligent resource management in vehicular networks / / Haixia Peng, Qiang Ye, and Xuemin Shen
Intelligent resource management in vehicular networks / / Haixia Peng, Qiang Ye, and Xuemin Shen
Autore Peng Haixia
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (163 pages)
Disciplina 388.312
Collana Wireless Networks
Soggetto topico Vehicular ad hoc networks (Computer networks) - Safety measures
Vehicular ad hoc networks (Computer networks)
ISBN 3-030-96507-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Overview of Vehicular Networks -- 1.1.1 Vehicular Network Applications -- 1.1.2 Vehicular Network Characteristics -- 1.1.3 Vehicular Network Classifications -- 1.1.4 Overview of Vehicular Communication Technologies -- 1.2 Challenges in Vehicular Networks -- 1.2.1 Vehicular Information Sharing -- 1.2.2 Task Computing -- 1.3 Resource Management in Vehicular Networks -- 1.3.1 Spectrum Resource Management -- 1.3.2 Computing Resource Management -- 1.3.3 Intelligent Multi-Resource Management -- 1.3.3.1 Methodology -- 1.4 Aim of the Monograph -- 1.5 Summary -- References -- 2 MEC-Assisted Vehicular Networking -- 2.1 MEC-Assisted ADVNET Architecture -- 2.1.1 Problem Statement -- 2.1.2 Architecture Design -- 2.2 SDN-Enabled Resource Management -- 2.2.1 Computing and Storage Resource Management -- 2.2.2 Spectrum Management -- 2.2.3 Open Research Issues -- 2.3 Aerial-Assisted Vehicular Network: Case Study -- 2.3.1 A Drone-Assisted MVNET Architecture -- 2.3.2 Intelligent Resource Management -- 2.3.3 Case Study -- 2.4 Summary -- References -- 3 Spectrum Slicing in MEC-Assisted ADVNETs -- 3.1 System Model -- 3.1.1 Dynamic Slicing Framework -- 3.1.2 Communication Model -- 3.2 Resource Management Scheme -- 3.2.1 Network-Level Spectrum Reservation -- 3.2.2 Vehicle-Level Spectrum Reservation -- 3.2.3 Transmit Power Control -- 3.3 Problem Analysis and Suboptimal Solution -- 3.3.1 Problem Analysis -- 3.3.2 Algorithm Design -- 3.4 Simulation Results -- 3.5 Summary -- References -- 4 Intelligent Multi-Dimensional Resource Allocation in MVNETs -- 4.1 System Model -- 4.1.1 Spectrum, Computing, and Caching Allocation -- 4.2 Problem Formulation and Transformation -- 4.2.1 Problem Formulation -- 4.2.2 Problem Transformation with DRL -- 4.3 DDPG Algorithm Based Solution -- 4.3.1 DDPG-Based Algorithm.
4.3.2 HDDPG-Based Algorithm -- 4.4 Simulation Results and Analysis -- 4.5 Summary -- References -- 5 Aerial-Assisted Intelligent Resource Allocation -- 5.1 System Model and Problem Formulation -- 5.1.1 UAV-Assisted MVNET -- 5.1.2 Resource Reservation Models -- 5.1.3 Problem Formulation -- 5.2 Centralized/Distributed Multi-Dimensional ResourceManagement -- 5.2.1 Problem Transformation -- 5.2.2 SADDPG/MADDPG-Based Solutions -- 5.3 Simulation Results -- 5.3.1 Performance Evaluation for the SADDPG-Based Scheme -- 5.3.2 Performance Evaluation for the MADDPG-BasedScheme -- 5.4 Summary -- References -- 6 Conclusions and Future Research Directions -- 6.1 Conclusions -- 6.2 Future Research Directions -- References -- Index.
Record Nr. UNINA-9910558496203321
Peng Haixia  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Internet access in vehicular networks / / Wenchao Xu, Haibo Zhou, Xuemin Shen
Internet access in vehicular networks / / Wenchao Xu, Haibo Zhou, Xuemin Shen
Autore Xu Wenchao
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (175 pages)
Disciplina 621.38456
Soggetto topico Mobile communication systems
Vehicular ad hoc networks (Computer networks)
Radiocommunications mobiles
ISBN 3-030-88991-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464439303316
Xu Wenchao  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Internet access in vehicular networks / / Wenchao Xu, Haibo Zhou, Xuemin Shen
Internet access in vehicular networks / / Wenchao Xu, Haibo Zhou, Xuemin Shen
Autore Xu Wenchao
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (175 pages)
Disciplina 621.38456
Soggetto topico Mobile communication systems
Vehicular ad hoc networks (Computer networks)
Radiocommunications mobiles
ISBN 3-030-88991-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510539403321
Xu Wenchao  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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)
Altri autori (Persone) LiuLiang
DingZhiguo
ShenXuemin
ISBN 1-394-18052-7
1-394-18050-0
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-9910830889403321
Liu Yuanwei  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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)
Altri autori (Persone) LiuLiang
DingZhiguo
ShenXuemin
ISBN 1-394-18052-7
1-394-18050-0
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-9910877331603321
Liu Yuanwei  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Realizing the Metaverse : A Communications and Networking Perspective
Realizing the Metaverse : A Communications and Networking Perspective
Autore Lim Wei Yang Bryan
Edizione [1st ed.]
Pubbl/distr/stampa Newark : , : John Wiley & Sons, Incorporated, , 2024
Descrizione fisica 1 online resource (206 pages)
Altri autori (Persone) XiongZehui
NiyatoDusit
ZhangJunshan
ShenXuemin
ISBN 9781394188918
1394188919
9781394188925
1394188927
9781394188932
1394188935
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910911296103321
Lim Wei Yang Bryan  
Newark : , : John Wiley & Sons, Incorporated, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Security and privacy in mobile social networks / / Xiaohui Liang [and four others]
Security and privacy in mobile social networks / / Xiaohui Liang [and four others]
Autore Liang Xiaohui
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York : , : Springer, , 2013
Descrizione fisica 1 online resource (viii, 100 pages) : illustrations (some color)
Disciplina 004.6
Collana SpringerBriefs in Computer Science
Soggetto topico Computer networks
Computer science
Data protection
Information storage and retrieval systems
Telecommunication
Online social networks - Security measures
Mobile computing - Security measures
ISBN 1-4614-8857-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Overview -- Profile Matching Protocol with Anonymity Enhancing Techniques -- Cooperative Data Forwarding Strategy with Privacy Preservation -- Recommendation-based Trustworthy Service Evaluation.
Record Nr. UNINA-9910437577703321
Liang Xiaohui  
New York : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Security and Privacy in Smart Grid / / by Asmaa Abdallah, Xuemin Shen
Security and Privacy in Smart Grid / / by Asmaa Abdallah, Xuemin Shen
Autore Abdallah Asmaa
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIV, 126 p. 30 illus., 23 illus. in color.)
Disciplina 621.319028558
Collana SpringerBriefs in Electrical and Computer Engineering
Soggetto topico Data protection
Electrical engineering
Wireless communication systems
Mobile communication systems
Security
Communications Engineering, Networks
Wireless and Mobile Communication
ISBN 3-319-93677-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299347803321
Abdallah Asmaa  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Vehicular Networking for Road Safety [[electronic resource] /] / by Feng Lyu, Minglu Li, Xuemin Shen
Vehicular Networking for Road Safety [[electronic resource] /] / by Feng Lyu, Minglu Li, Xuemin Shen
Autore Lyu Feng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 162 p. 62 illus., 55 illus. in color.)
Disciplina 388.312
Collana Wireless Networks
Soggetto topico Computer communication systems
Wireless communication systems
Mobile communication systems
Transportation engineering
Traffic engineering
Electrical engineering
Computer Communication Networks
Wireless and Mobile Communication
Transportation Technology and Traffic Engineering
Communications Engineering, Networks
ISBN 3-030-51229-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Vehicular Networking Techniques for Road-SafetyApplication -- 3. Mobility-Aware and Collision-Avoidance MAC Design -- 3. Efficient and Scalable MAC Design -- 4. Characterizing Urban V2V Link Communications -- Link-Aware Reliable Beaconing Scheme Design. 5.
Record Nr. UNISA-996465470403316
Lyu Feng  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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