Li / Wang / Leung | 6GN for Future Wireless Networks | Buch | 978-3-031-93192-5 | sack.de

Buch, Englisch, 220 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Li / Wang / Leung

6GN for Future Wireless Networks

7th EAI International Conference, 6GN 2024, Chongqing, China, October 19-20, 2024, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-031-93192-5
Verlag: Springer Nature Switzerland

7th EAI International Conference, 6GN 2024, Chongqing, China, October 19-20, 2024, Proceedings

Buch, Englisch, 220 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 359 g

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

ISBN: 978-3-031-93192-5
Verlag: Springer Nature Switzerland


This volume set constitutes the proceedings of the 7th EAI International Conference on 6GN for Future Wireless Networks, 6GN 2024, held in Chongqing, China, in October 19-20, 2024.

The 18 papers included in these proceedings were carefully reviewed and selected from
50 submissions.They focus on the following topical sections such as Wireless Control and Network Optimization; Edge Computing and Resource Allocation; Intelligent Systems and Simulation; Artificial Intelligence and Digital Economy.

Li / Wang / Leung 6GN for Future Wireless Networks jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Wireless Control and Network Optimization.
.- Analysis of Electronic Countermeasures and Exploration of Cognitive Techniques.
.- Base Station Location Optimization Framework Based on Digital Twins for 6G Networks.
.- Modeling and Optimization of Random Access in NB-IoT Network with Heterogeneous Users.
.- Research on Routing Algorithm of Space-Air Integrated Networks.
.- Research on Statistical Priority-Based Multiple Access Protocol in Mobile Ad Hoc Networks.
.- Edge Computing and Resource Allocation.
.- Deep Reinforcement Learning for Cache Allocation of Multi-Cloud Content Providers in Mobile Edge-Cloud Computing Networks.
.- HCTRL: Hierarchical Clustering Tree Reinforcement Learning Algorithm for Efficient Content Caching.
.- Multivariate Time Series Anomaly Detection Based on Device-Edge-Cloud Collaboration in Internet of Things.
.- Intelligent Systems and Simulation.
.- UAV topology control method based on fuzzy C-clustering algorithm.
.- Research on Joint Optimization Model of Drone Trajectory and Power for SAGIN Swarm Intelligence Technology.
.- Research on the Application of LoRa Technology in Intelligent Ranch Environmental Monitoring System.
.- Simulation and Analysis of Harmonic Reducer Dynamics Based on Adams.
.- V2V Communication Systems for Advanced Truck Platooning at Freight Hubs.
.- Artificial Intelligence and Digital Economy.
.-  A Software-Hardware Co-Design Platform forConvolutional Neural Network Accelerator with Tengine.
.-  Personalized Federated Learning Algorithm based onShuffle Differential Privacy.
.- Research and Design of Tomato Detection AcceleratorBased on FPGA.
.-  Research on the Role of Fiscal Deficit in the Impact ofDigital Inclusive Finance on Economic Growth.
.-  The Impact of E-commerce on the Consumption Level of Chinese Residents under the Background of Communication Network Technology.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.