5G for Future Wireless Networks (eBook, PDF)

Second EAI International Conference, 5GWN 2019, Changsha, China, February 23-24, 2019, Proceedings
Redaktion: Leung, Victor C. M.; Liu, Zhi; Liu, Qiang; Hu, Xiping; Zhang, Haijun

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the Second International Conference on 5G for Future Wireless Networks, 5GWN 2019, held in Changsa, China, in February 2019. The 13 full papers were selected from 34 submissions and present the state of the art and practical applications of 5G technologies. The papers are arranged thematically on optimization theory and applications, intelligent computing technology for 5G applications, resource allocation and management, and security and privacy in emerging 5G applications.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 195
• Erscheinungstermin: 25. April 2019
• Englisch
• ISBN-13: 9783030175139
• Artikelnr.: 58521666

Inhaltsangabe

Joint Scheduling and Trajectory Design for UAV
aided Wireless Power Transfer System.
Deep Learning Based Antenna Muting and Beamforming Optimization in Distributed Massive MIMO Systems.
A Converged Network Architecture Oriented Towards NB
IoT.
Smartphone
based intelligent Sleep Monitoring.
Cluster Routing Protocol for Coal Mine Wireless Sensor Network based on 5G.
Distributed Multiple
service User
experience.
Alarm Sound Recommendation Based On Music Generating.
System Resource Allocation and Management.
Cooperative Caching and Delivery Algorithm Based on Content Access Patterns at Network Edge.
An Energy Efficient Uplink Scheduling and Resource Allocation for M2M Communications in SC
FDMA based LTE
A Networks.
Energy Efficient Resource Allocation in Small Cells with WiFi Unlicensed Bands Sharing Security and Privacy in Emerging 5G Applications.
TME2R: Trust Management
based Energy Efficient Routing Scheme in Fog
assisted Industrial Wireless Sensor Network.
Security Risk Assessment for miniature Internet of thing systems with 5G.
Improved Flow Awareness by Intelligent Collaborative Sampling in Software Defined Networks.