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2nd International Conference on 5G for Ubiquitous Connectivity [[electronic resource] ] : 5GU 2018 / / edited by Baoliu Ye, Weihua Zhuang, Song Guo
2nd International Conference on 5G for Ubiquitous Connectivity [[electronic resource] ] : 5GU 2018 / / edited by Baoliu Ye, Weihua Zhuang, Song Guo
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (211 pages)
Disciplina 621.382
Collana EAI/Springer Innovations in Communication and Computing
Soggetto topico Computer engineering
Internet of things
Embedded computer systems
Electrical engineering
Management
Industrial management
Cyber-physical systems, IoT
Communications Engineering, Networks
Innovation/Technology Management
ISBN 3-030-22316-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Collaborative Inference for Mobile Deep Learning Applications -- Compressed Sensing Channel Estimation for LTE-V -- Power Allocation Scheme for Non-Orthogonal Multiple Access in Cloud Radio Access Networks -- Energy Efficient Optimization Scheme for Uplink Distributed Antenna System with D2D Communication -- A Cluster-Based Interference Management with Successive Cancellation for UDNs -- Delay Sensitive Application Partitioning and Task Scheduling in Mobile Edge Cloud Prototyping -- Priority-based User-centric Interference Mitigation Scheme in the Ultra Dense Network -- SAR Target Recognition via Enhanced Kernel Sparse Representation of Monogenic Signal -- Optimization of FBMC Waveform by Designing NPR Prototype Filter with Improved Stopband Suppression -- Robust Spectrum-Energy Efficiency for Green Cognitive Communications -- Optimal Precoding Design for LoS MIMO Channels with the Spherical-Wave Model -- An Envisioned Virtual Gateway Architecture for Capillary Networks in Smart Cities -- A Network Calculus Based Traceable Performance Analysis Framework of C-RAN for 5G -- Image dehazing using degradation model and group-based sparse representation -- Delay Analysis for URLLC in 5G Based on Stochastic Network Calculus -- Conclusion.
Record Nr. UNINA-9910366578103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Connectivity and edge computing in IoT : customized designs and AI-based solutions / / Jie Gao, Mushu Li, Weihua Zhuang
Connectivity and edge computing in IoT : customized designs and AI-based solutions / / Jie Gao, Mushu Li, Weihua Zhuang
Autore Gao Jie <1985->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (177 pages)
Disciplina 004.678
Collana Wireless networks (Springer (Firm))
Soggetto topico Internet of things
Edge computing
ISBN 3-030-88743-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 The Era of Internet of Things -- 1.2 Connectivity in IoT -- 1.3 Edge Computing in IoT -- 1.4 AI in IoT -- 1.5 Scope and Organization of This Book -- References -- 2 Industrial Internet of Things: Smart Factory -- 2.1 Industrial IoT Networks -- 2.2 Connectivity Requirements of Smart Factory -- 2.2.1 Application-Specific Requirements -- 2.2.2 Related Standards -- 2.2.3 Potential Non-Link-Layer Solutions -- 2.2.4 Link-Layer Solutions: Recent Research Efforts -- 2.3 Protocol Design for Smart Factory -- 2.3.1 Networking Scenario -- 2.3.2 Mini-Slot Based Carrier Sensing (MsCS) -- 2.3.3 Synchronization Sensing (SyncCS) -- 2.3.4 Differentiated Assignment Cycles -- 2.3.5 Superimposed Mini-slot Assignment (SMsA) -- 2.3.6 Downlink Control -- 2.4 Performance Analysis -- 2.4.1 Delay Performance with No Buffer -- 2.4.2 Delay Performance with Buffer -- 2.4.3 Slot Idle Probability -- 2.4.4 Impact of SyncCS -- 2.4.5 Impact of SMsA -- 2.5 Scheduling and AI-Assisted Protocol Parameter Selection -- 2.5.1 Background -- 2.5.2 The Considered Scheduling Problem -- 2.5.3 Device Assignment -- 2.5.4 AI-Assisted Protocol Parameter Selection -- 2.6 Numerical Results -- 2.6.1 Mini-Slot Delay with MsCS, SyncCS, and SMsA -- 2.6.2 Performance of the Device Assignment Algorithms -- 2.6.3 DNN-Assisted Scheduling -- 2.7 Summary -- References -- 3 UAV-Assisted Edge Computing: Rural IoT Applications -- 3.1 Background on UAV-Assisted Edge Computing -- 3.2 Connectivity Requirements of UAV-Assisted MEC for Rural IoT -- 3.2.1 Network Constraints -- 3.2.2 State-of-the-Art Solutions -- 3.3 Multi-Resource Allocation for UAV-Assisted Edge Computing -- 3.3.1 Network Model -- 3.3.2 Communication Model -- 3.3.3 Computing Model -- 3.3.4 Energy Consumption Model -- 3.3.5 Problem Formulation.
3.3.6 Optimization Algorithm for UAV-Assisted EdgeComputing -- 3.3.7 Proactive Trajectory Design Based on Spatial Distribution Estimation -- 3.4 Numerical Results -- 3.5 Summary -- References -- 4 Collaborative Computing for Internet of Vehicles -- 4.1 Background on Internet of Vehicles -- 4.2 Connectivity Challenges for MEC -- 4.2.1 Server Selection for Computing Offloading -- 4.2.2 Service Migration -- 4.2.3 Cooperative Computing -- 4.3 Computing Task Partition and Scheduling for Edge Computing -- 4.3.1 Collaborative Edge Computing Framework -- 4.3.2 Service Delay -- 4.3.3 Service Failure Penalty -- 4.3.4 Problem Formulation -- 4.3.5 Task Partition and Scheduling -- 4.4 AI-Assisted Collaborative Computing Approach -- 4.5 Performance Evaluation -- 4.5.1 Task Partition and Scheduling Algorithm -- 4.5.2 AI-Based Collaborative Computing Approach -- 4.6 Summary -- References -- 5 Edge-Assisted Mobile VR -- 5.1 Background on Mobile Virtual Reality -- 5.2 Caching and Computing Requirements of Mobile VR -- 5.2.1 Mobile VR Video Formats -- 5.2.2 Edge Caching for Mobile VR -- 5.2.3 Edge Computing for Mobile VR -- 5.3 Mobile VR Video Caching and Delivery Model -- 5.3.1 Network Model -- 5.3.2 Content Distribution Model -- 5.3.3 Content Popularity Model -- 5.3.4 Research Objective -- 5.4 Content Caching for Mobile VR -- 5.4.1 Adaptive Field-of-View Video Chunks -- 5.4.1.1 Extended FoV -- 5.4.1.2 Content Types -- 5.4.1.3 Rules for Content Distribution -- 5.4.2 Content Placement on an Edge Cache -- 5.4.3 Placement Scheme for Video Chunks in a VS -- 5.4.4 Placement Scheme for Video Chunks of Multiple VSs -- 5.4.5 Numerical Results -- 5.5 AI-Assisted Mobile VR Video Delivery -- 5.5.1 Content Distribution -- 5.5.2 Intelligent Content Distribution Framework -- 5.5.3 WI-based Delivery Scheduling -- 5.5.4 Reinforcement Learning Assisted Content Distribution.
5.5.5 Neural Network Structure -- 5.5.6 Numerical Results -- 5.6 Summary -- References -- 6 Conclusions -- 6.1 Summary of the Research -- 6.2 Discussion of Future Directions -- Index.
Record Nr. UNISA-996464418803316
Gao Jie <1985->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Connectivity and edge computing in IoT : customized designs and AI-based solutions / / Jie Gao, Mushu Li, Weihua Zhuang
Connectivity and edge computing in IoT : customized designs and AI-based solutions / / Jie Gao, Mushu Li, Weihua Zhuang
Autore Gao Jie <1985->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (177 pages)
Disciplina 004.678
Collana Wireless networks (Springer (Firm))
Soggetto topico Internet of things
Edge computing
ISBN 3-030-88743-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 The Era of Internet of Things -- 1.2 Connectivity in IoT -- 1.3 Edge Computing in IoT -- 1.4 AI in IoT -- 1.5 Scope and Organization of This Book -- References -- 2 Industrial Internet of Things: Smart Factory -- 2.1 Industrial IoT Networks -- 2.2 Connectivity Requirements of Smart Factory -- 2.2.1 Application-Specific Requirements -- 2.2.2 Related Standards -- 2.2.3 Potential Non-Link-Layer Solutions -- 2.2.4 Link-Layer Solutions: Recent Research Efforts -- 2.3 Protocol Design for Smart Factory -- 2.3.1 Networking Scenario -- 2.3.2 Mini-Slot Based Carrier Sensing (MsCS) -- 2.3.3 Synchronization Sensing (SyncCS) -- 2.3.4 Differentiated Assignment Cycles -- 2.3.5 Superimposed Mini-slot Assignment (SMsA) -- 2.3.6 Downlink Control -- 2.4 Performance Analysis -- 2.4.1 Delay Performance with No Buffer -- 2.4.2 Delay Performance with Buffer -- 2.4.3 Slot Idle Probability -- 2.4.4 Impact of SyncCS -- 2.4.5 Impact of SMsA -- 2.5 Scheduling and AI-Assisted Protocol Parameter Selection -- 2.5.1 Background -- 2.5.2 The Considered Scheduling Problem -- 2.5.3 Device Assignment -- 2.5.4 AI-Assisted Protocol Parameter Selection -- 2.6 Numerical Results -- 2.6.1 Mini-Slot Delay with MsCS, SyncCS, and SMsA -- 2.6.2 Performance of the Device Assignment Algorithms -- 2.6.3 DNN-Assisted Scheduling -- 2.7 Summary -- References -- 3 UAV-Assisted Edge Computing: Rural IoT Applications -- 3.1 Background on UAV-Assisted Edge Computing -- 3.2 Connectivity Requirements of UAV-Assisted MEC for Rural IoT -- 3.2.1 Network Constraints -- 3.2.2 State-of-the-Art Solutions -- 3.3 Multi-Resource Allocation for UAV-Assisted Edge Computing -- 3.3.1 Network Model -- 3.3.2 Communication Model -- 3.3.3 Computing Model -- 3.3.4 Energy Consumption Model -- 3.3.5 Problem Formulation.
3.3.6 Optimization Algorithm for UAV-Assisted EdgeComputing -- 3.3.7 Proactive Trajectory Design Based on Spatial Distribution Estimation -- 3.4 Numerical Results -- 3.5 Summary -- References -- 4 Collaborative Computing for Internet of Vehicles -- 4.1 Background on Internet of Vehicles -- 4.2 Connectivity Challenges for MEC -- 4.2.1 Server Selection for Computing Offloading -- 4.2.2 Service Migration -- 4.2.3 Cooperative Computing -- 4.3 Computing Task Partition and Scheduling for Edge Computing -- 4.3.1 Collaborative Edge Computing Framework -- 4.3.2 Service Delay -- 4.3.3 Service Failure Penalty -- 4.3.4 Problem Formulation -- 4.3.5 Task Partition and Scheduling -- 4.4 AI-Assisted Collaborative Computing Approach -- 4.5 Performance Evaluation -- 4.5.1 Task Partition and Scheduling Algorithm -- 4.5.2 AI-Based Collaborative Computing Approach -- 4.6 Summary -- References -- 5 Edge-Assisted Mobile VR -- 5.1 Background on Mobile Virtual Reality -- 5.2 Caching and Computing Requirements of Mobile VR -- 5.2.1 Mobile VR Video Formats -- 5.2.2 Edge Caching for Mobile VR -- 5.2.3 Edge Computing for Mobile VR -- 5.3 Mobile VR Video Caching and Delivery Model -- 5.3.1 Network Model -- 5.3.2 Content Distribution Model -- 5.3.3 Content Popularity Model -- 5.3.4 Research Objective -- 5.4 Content Caching for Mobile VR -- 5.4.1 Adaptive Field-of-View Video Chunks -- 5.4.1.1 Extended FoV -- 5.4.1.2 Content Types -- 5.4.1.3 Rules for Content Distribution -- 5.4.2 Content Placement on an Edge Cache -- 5.4.3 Placement Scheme for Video Chunks in a VS -- 5.4.4 Placement Scheme for Video Chunks of Multiple VSs -- 5.4.5 Numerical Results -- 5.5 AI-Assisted Mobile VR Video Delivery -- 5.5.1 Content Distribution -- 5.5.2 Intelligent Content Distribution Framework -- 5.5.3 WI-based Delivery Scheduling -- 5.5.4 Reinforcement Learning Assisted Content Distribution.
5.5.5 Neural Network Structure -- 5.5.6 Numerical Results -- 5.6 Summary -- References -- 6 Conclusions -- 6.1 Summary of the Research -- 6.2 Discussion of Future Directions -- Index.
Record Nr. UNINA-9910510534803321
Gao Jie <1985->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cooperative Networking in a Heterogeneous Wireless Medium [[electronic resource] /] / by Muhammad Ismail, Weihua Zhuang
Cooperative Networking in a Heterogeneous Wireless Medium [[electronic resource] /] / by Muhammad Ismail, Weihua Zhuang
Autore Ismail Muhammad
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (90 p.)
Disciplina 621.382
Collana SpringerBriefs in Computer Science
Soggetto topico Electrical engineering
Computer system failures
Coding theory
Information theory
Communications Engineering, Networks
System Performance and Evaluation
Coding and Information Theory
ISBN 1-4614-7079-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Decentralized Optimal Resource Allocation -- Prediction Based Resource Allocation -- Resource Allocation for Single-network and Multi-homing Services -- Conclusions and Future Directions.
Record Nr. UNINA-9910437597403321
Ismail Muhammad  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distributed medium access control in wireless networks / / Ping Wang, Weihua Zhuang
Distributed medium access control in wireless networks / / Ping Wang, Weihua Zhuang
Autore Wang Ping
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York : , : Springer, , 2013
Descrizione fisica 1 online resource (xii, 109 pages) : illustrations
Disciplina 004.6
Collana SpringerBriefs in Computer Science
Soggetto topico Wireless communication systems - Security measures
ISBN 1-4614-6602-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Literature Review and Background -- Voice Capacity Improvement over Infrastructure WLANs -- Service Differentiation over Ad Hoc WLANs -- Dual Busy-tone MAC for Wireless Ad Hoc Networks -- Collision-free MAC forWireless Mesh Backbones -- Conclusions.
Record Nr. UNINA-9910437588703321
Wang Ping  
New York : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent resource management for network slicing in 5G and beyond / / Qiang Ye and Weihua Zhuang
Intelligent resource management for network slicing in 5G and beyond / / Qiang Ye and Weihua Zhuang
Autore Ye Qiang <1985->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (202 pages)
Disciplina 621.3821
Collana Wireless Networks
Soggetto topico Mobile communication systems
5G mobile communication systems
Radio resource management (Wireless communications)
ISBN 3-030-88666-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464381003316
Ye Qiang <1985->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Intelligent resource management for network slicing in 5G and beyond / / Qiang Ye and Weihua Zhuang
Intelligent resource management for network slicing in 5G and beyond / / Qiang Ye and Weihua Zhuang
Autore Ye Qiang <1985->
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (202 pages)
Disciplina 621.3821
Collana Wireless Networks
Soggetto topico Mobile communication systems
5G mobile communication systems
Radio resource management (Wireless communications)
ISBN 3-030-88666-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910520085703321
Ye Qiang <1985->  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning-based VANET Communication and Security Techniques [[electronic resource] /] / by Liang Xiao, Weihua Zhuang, Sheng Zhou, Cailian Chen
Learning-based VANET Communication and Security Techniques [[electronic resource] /] / by Liang Xiao, Weihua Zhuang, Sheng Zhou, Cailian Chen
Autore Xiao Liang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (140 pages)
Disciplina 004.6
Collana Wireless Networks
Soggetto topico Wireless communication systems
Mobile communication systems
Data protection
Artificial intelligence
Electrical engineering
Wireless and Mobile Communication
Security
Artificial Intelligence
Communications Engineering, Networks
ISBN 3-030-01731-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 2 Learning-based Rogue Edge Detection in VANETs with Ambient Radio Signals -- 3 Learning While Offloading: Multi-armed Bandit Based Task Offloading in Vehicular Edge Computing Networks -- 4 Intelligent Network Access System for Vehicular Real-time Service Provisioning -- 5 UAV Relay in VANETs Against Smart Jamming with Reinforcement Learning -- 6 Conclusion and Future Work.
Record Nr. UNINA-9910337467703321
Xiao Liang  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Link-Layer Cooperative Communication in Vehicular Networks [[electronic resource] /] / by Sailesh Bharati, Weihua Zhuang
Link-Layer Cooperative Communication in Vehicular Networks [[electronic resource] /] / by Sailesh Bharati, Weihua Zhuang
Autore Bharati Sailesh
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVIII, 111 p. 52 illus., 35 illus. in color.)
Disciplina 388.312
Collana Wireless Networks
Soggetto topico Electrical engineering
Transportation engineering
Traffic engineering
Computer communication systems
Communications Engineering, Networks
Transportation Technology and Traffic Engineering
Computer Communication Networks
ISBN 3-319-58721-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Acronyms -- Nomenclature -- 1 Introduction -- 2 Background and Literature Review -- 3 System Model -- 4 Cooperation in ADHOC MAC -- 5 Enhanced Node Cooperation -- 6 Cooperative Relay Broadcasting -- 7 Conclusions and Future Works -- A Multi-Channel Operation in VANETs -- B Parameters in VISSIM Simulation.
Record Nr. UNINA-9910299904103321
Bharati Sailesh  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
MAC Protocol Design in Full-Duplex Enabled Wireless Networks
MAC Protocol Design in Full-Duplex Enabled Wireless Networks
Autore Fu Liqun
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (158 pages)
Altri autori (Persone) LiuShengbo
WuWen
ZhangNing
ZhuangWeihua
Collana Wireless Networks Series
ISBN 3-031-57296-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Wireless Full-Duplex (FD) Communication -- 1.1.1 Motivation and Concept -- 1.1.2 Development of Wireless FD Communication -- 1.1.2.1 FD Radio System -- 1.1.2.2 FD Relaying System -- 1.1.2.3 mmWave FD System -- 1.1.3 Applications and Benefits -- 1.1.3.1 Applications -- 1.1.3.2 Benefits -- 1.2 Research Challenges in FD Enabled Wireless Networks -- 1.2.1 FD Enabled WLANs -- 1.2.2 FD Enabled Multi-Hop Networks -- 1.2.3 FD Enabled mmWave Networks -- 1.3 Book Organization -- References -- 2 Literature Review -- 2.1 Self-Interference Cancellation -- 2.1.1 Overview -- 2.1.2 Antenna Domain Cancellation -- 2.1.3 Analog Domain Cancellation -- 2.1.4 Digital Domain Cancellation -- 2.2 Medium Access Control (MAC) Mechanisms -- 2.2.1 Performance Metrics -- 2.2.1.1 Throughput -- 2.2.1.2 Fairness -- 2.2.1.3 Delay -- 2.2.2 Channel Access Mechanisms -- 2.2.2.1 Carrier Sensing Mechanism -- 2.2.2.2 RTS/CTS Handshaking Mechanism -- 2.2.2.3 Random Backoff Mechanism -- 2.3 FD MAC Design -- 2.3.1 Centralized FD MAC Protocols -- 2.3.2 Distributed FD MAC Protocols -- 2.3.2.1 Header Snooping Based FD MAC -- 2.3.2.2 RTS/CTS Based FD MAC -- 2.4 Performance Analysis Methods -- 2.4.1 Markov Chain Model -- 2.4.2 Spatial Stochastic Geometry -- 2.5 Summary -- References -- 3 Hidden-Node-Free MAC Protocol Design for FD WLANs -- 3.1 Problem Statement -- 3.2 Related Works -- 3.3 System Model -- 3.3.1 Transmission Model -- 3.3.2 Ellipse Interference Model -- 3.3.3 Ellipse Carrier-Sensing Model -- 3.4 Hidden-Node-Free (HNF) Design -- 3.4.1 Hidden-Node Problem -- 3.4.2 Carrier Sensing Based HNF Design -- 3.5 FD Enhanced Carrier Sensing MAC (FECS-MAC) Protocol -- 3.5.1 Power Set Construction -- 3.5.2 FECS Mechanism -- 3.5.3 FECS-MAC Description -- 3.5.3.1 Two-Node Full-Duplex Transmission.
3.5.3.2 Three-Node Destination-Based FD Transmission -- 3.5.3.3 Three-Node Source-Based FD Transmission -- 3.5.4 FECS-MAC Based HNF Design -- 3.6 Simulation Results -- 3.6.1 Verification of HNF Design -- 3.6.2 Throughput of Two-Node FD Networks -- 3.6.2.1 Square Network -- 3.6.2.2 The Impact of Imperfect Self-Interference (SI) Cancellation -- 3.6.3 Throughput of Three-Node FD Networks -- 3.6.3.1 Square Network -- 3.6.3.2 Chain Network -- 3.7 Summary -- References -- 4 Multi-Hop Cut-Through MAC Protocol Design for Wireless Multi-Hop Networks -- 4.1 Problem Statement -- 4.2 Related Works -- 4.3 System Model -- 4.3.1 Interference Model -- 4.3.2 End-to-End Throughput Model -- 4.4 Network Performance Analysis -- 4.4.1 Accumulative Interference -- 4.4.2 End-to-End Throughput Optimization -- 4.5 Multi-Hop Cut-Through MAC Protocol -- 4.5.1 MCMAC Description -- 4.5.1.1 Frame Structure -- 4.5.1.2 MCMAC Description -- 4.5.2 Transmit-Delay Mechanism -- 4.5.3 Transmission Parameter Adaption Algorithm -- 4.6 Performance Evaluation -- 4.6.1 Achievable Data Rate -- 4.6.2 End-to-End Throughput -- 4.6.2.1 A Chain Network with Identical Hop Distance -- 4.6.2.2 A Chain Network with Random Hop Distance -- 4.6.2.3 A Lattice Network with Identical Hop Distance -- 4.6.2.4 A General Mesh Network -- 4.7 Summary -- References -- 5 Directional FD MAC Protocol Design for mmWave Networks -- 5.1 Problem Statement -- 5.2 Related Works -- 5.2.1 mmWave FD Communications -- 5.2.2 Directional MAC Protocols -- 5.3 Network Scenario -- 5.3.1 mmWave FD Network -- 5.3.2 Network Challenges -- 5.3.2.1 Asymmetric Transmission Problem -- 5.3.2.2 Deafness Problem -- 5.3.2.3 Directional HN Problem -- 5.3.2.4 Blockage Problem -- 5.4 Directional FD MAC Protocol -- 5.4.1 Frame Structure -- 5.4.2 Busy-Tone Mechanism -- 5.4.3 DFDMAC Description -- 5.4.3.1 Two-Node Directional FD Transmission.
5.4.3.2 Simultaneous Uplink and Downlink FD Transmission -- 5.4.3.3 Directional FD Relay Transmission -- 5.5 System Model -- 5.5.1 Directional Antenna Model -- 5.5.2 Transmission Model -- 5.5.2.1 Two-Node Directional Full-Duplex Transmission -- 5.5.2.2 Simultaneous Uplink and Downlink FD Transmission -- 5.5.2.3 Directional Full-Duplex Relay Transmission -- 5.6 Throughput Optimization Problem -- 5.6.1 Problem Formulation -- 5.6.2 Power Control Algorithm -- 5.7 Simulation Results -- 5.7.1 Network Performance -- 5.7.1.1 Saturated Throughput Performance -- 5.7.1.2 Validation of the Proposed BT Mechanism -- 5.7.1.3 Latency Performance -- 5.7.2 Algorithm Validation -- 5.8 Summary -- References -- 6 Summary and Future Directions -- 6.1 Summary -- 6.2 Future Research Directions -- 6.2.1 EN Problem in FD Enabled CSMA Networks -- 6.2.2 TDMA Based FD MAC Protocol Design -- 6.2.3 Fundamental Analysis in mmWave FD Networks.
Record Nr. UNINA-9910857786703321
Fu Liqun  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui