| Document Type
|
:
|
BL
|
| Record Number
|
:
|
859702
|
| Main Entry
|
:
|
Cheng, Xiang
|
| Title & Author
|
:
|
5G-enabled vehicular communications and networking /\ Xiang Cheng, Rongqing Zhang, Liuqing Yang.
|
| Publication Statement
|
:
|
Cham :: Springer,, [2019]
|
| Series Statement
|
:
|
Wireless networks
|
| Page. NO
|
:
|
1 online resource
|
| ISBN
|
:
|
3030021769
|
|
|
:
|
: 3030021777
|
|
|
:
|
: 9783030021764
|
|
|
:
|
: 9783030021771
|
|
|
:
|
3030021750
|
|
|
:
|
9783030021757
|
| Contents
|
:
|
Intro; Preface; Contents; 1 Introduction to 5G-Enabled VCN; 1.1 The Era of Intelligent Vehicles; 1.2 5G-Enabled Vehicular Communications and Networking (5G-VCN); 1.2.1 5G-VCN: Key Features; 1.2.2 5G-VCN: Challenges; 1.2.2.1 Ultra-high Rate and Ultra-low Latency Vehicular Communications; 1.2.2.2 Wireless System Architecture for Self-Driving; 1.2.2.3 Environment Sensing Technology; 1.3 Organization of the Monograph; References; 2 Vehicular Channel Characteristics and Modeling; 2.1 Recent Advances in Channel Measurements and Modeling; 2.1.1 Channel Measurements; 2.1.1.1 Carrier Frequencies.
|
|
|
:
|
2.1.1.2 Frequency Selectivity and Antennas2.1.1.3 Environments and Tx/Rx Directions of Motion; 2.1.1.4 Channel Statistics; 2.1.2 Recent Channel Models; 2.1.2.1 GBDMs; 2.1.2.2 NGSMs; 2.1.2.3 GBSMs; 2.2 New Generic Wideband Geometry-Based Stochastic Modeling; 2.2.1 A Wideband V2V-MIMO Channel Reference Model; 2.2.2 Statistical Properties of V2V-MIMO Channel Model; 2.2.2.1 Space-Time Correction Function; 2.2.2.2 Doppler Power Spectral Density; 2.2.2.3 Envelope LCR; 2.2.2.4 Envelope AFD; 2.2.3 New 2D Wideband V2V-MIMO Channel Simulation Models; 2.2.3.1 Deterministic Simulation Model.
|
|
|
:
|
2.2.3.2 Stochastic Simulation Model2.2.3.3 Simulation Results and Analysis; 2.3 New Features Due to 5G; 2.3.1 mmWave Perspective; 2.3.2 Massive MIMO Perspective; 2.4 3D Space-Time-Frequency Non-stationarity; 2.4.1 Parametric Method; 2.4.2 Geometric Method; 2.4.3 Hybrid Method; 2.5 Challenges and Open Issues; 2.5.1 Channel Measurement; 2.5.2 Channel Modeling; References; 3 Wireless-Vehicle Combination: Advanced PHY Techniques in VCN; 3.1 PHY Techniques in VCN; 3.2 ICI Cancellation for OFDM; 3.2.1 ICI Cancellation Schemes; 3.2.1.1 ICI Self-Cancellation.
|
|
|
:
|
3.4.2.2 Differential Detection3.4.2.3 Implementation of The Index-Mapping; 3.4.3 DSM in V2X Communications; 3.5 Energy Harvesting (EH)-Based Vehicular Communications; 3.5.1 SWIPT over Doubly-Selective Channels; 3.5.1.1 Power Allocation and Splitting Optimization Problem; 3.5.1.2 Joint Power Allocation and Splitting (JoPAS); 3.5.1.3 Decoupled Power Allocation and Splitting (DePAS); 3.5.1.4 Performance Evaluation; 3.5.2 EH Relaying in Vehicular Networks; 3.5.2.1 HD and FD EH Relaying; 3.5.2.2 EH Relay Selection; 3.6 The Next Leap; References.
|
| Abstract
|
:
|
This book investigates and reviews recent advanced techniques and important applications in vehicular communications and networking (VCN) from a novel perspective of the combination and integration of VCN and connected vehicles, which provides a significant scientific and technical support for future 5G-based VCN. 5G-Enabled Vehicular Communications and Networking introduces vehicular channel characteristics, reviews current channel modeling approaches, and then provides a new generic geometry-based stochastic modeling approach for vehicle-to-everything (V2X) communications. The investigation of vehicular channel measurements and modeling provides fundamental supports for the VCN system design. Then, this book investigates VCN-vehicle combination from PHY and MAC layers, respectively. As for the PHY layer, many advanced techniques that can be effectively applied in VCN to counter the PHY challenges are introduced, including novel ICI cancellation methods, index modulated OFDM, differential spatial modulation, and energy harvesting relaying. As for the MAC layer, distributed and centralized MAC designs are analyzed and compared in terms of feasibility and availability. Specifically, distributed congestion control, D2D-enabled vehicular communications, and centralized data dissemination scheduling are elaborated, which can significantly improve the network performance in vehicular networks. Finally, considering VCN-vehicle integration, this book introduces several hot-topic applications in vehicular networks, including electric vehicles, distributed data storage, unmanned aerial vehicles, and security and privacy, which indicates the significance and development value of VCN-vehicle integration in future vehicular networks and our daily life. The primary audience for this book includes professionals and researchers working in the field of vehicular communications, intelligent transportation systems (ITS), and Internet of vehicles (IoV). Advanced level students studying electrical engineering will also find this book useful as a secondary textbook for related courses.
|
| Subject
|
:
|
Mobile communication systems.
|
| Subject
|
:
|
Wireless communication systems.
|
| Subject
|
:
|
Communications engineering-- telecommunications.
|
| Subject
|
:
|
Highway traffic engineering.
|
| Subject
|
:
|
Mobile communication systems.
|
| Subject
|
:
|
Network hardware.
|
| Subject
|
:
|
TECHNOLOGY ENGINEERING-- Mechanical.
|
| Subject
|
:
|
WAP (wireless) technology.
|
| Subject
|
:
|
Wireless communication systems.
|
| Subject
|
:
|
Wireless and Mobile Communication.
|
| Subject
|
:
|
Communications Engineering, Networks.
|
| Subject
|
:
|
Computer Communication Networks.
|
| Subject
|
:
|
Transportation Technology and Traffic Engineering.
|
| Dewey Classification
|
:
|
621.382
|
| LC Classification
|
:
|
TK6570.M6C44 2019eb
|
| Added Entry
|
:
|
Yang, Liuqing
|
|
|
:
|
Zhang, Rongqing
|
| Parallel Title
|
:
|
Five G enabled vehicular communications and networking
|