04595nam a22005655i 4500 978-3-031-58229-5 DE-He213 20251030112057.0 cr nn 008mamaa 240524s2024 sz | s |||| 0|eng d 9783031582295 978-3-031-58229-5 10.1007/978-3-031-58229-5 doi TK5105.5-5105.9 UKN bicssc COM043000 bisacsh UKN thema Guan, Wanqing. author. aut http://id.loc.gov/vocabulary/relators/aut 77385 Network Slicing for Future Wireless Communication [electronic resource] : Theory and Application / by Wanqing Guan, Haijun Zhang. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 113 p. 35 illus., 31 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Wireless Networks, 2366-1445 Introduction -- Efficient management of physical infrastructure networks -- Intelligent deployment and orchestration of E2E slices -- AI based performance enhancement for multi tenant slicing -- Customized slicing for industrial applications -- Conclusion and Future Works. This book comprehensively discusses the development, application and challenges of network slicing technology in wireless communications. Starting with the basic concept and enabling technologies of network slicing, this book introduces how to integrate AI (Artificial Intelligence) technology into the end-to-end deployment, resource allocation and performance enhancement for multi-tenant slicing. An in-depth exploration of managing multi-domain slices deployed in the federated infrastructure networks is presented, including on-demand cooperation among multiple infrastructure networks, distinct slice deployment, hierarchical slice orchestration and fast slice adaption. As a guide to leveraging AI to enhance traffic performance of multi-tenant slicing and customize resource slicing for industrial scenarios, this book provides insights, modeling, applications and research issues. A holistic perspective on prominent role of network slicing in managing wireless network resources is provided as well. Overall, network slicing as a key technology of wireless networks, enables to satisfy differentiated service demands of multiple tenants from vertical industries with the same shared physical infrastructure network. As future wireless networks are expected to facilitate the evolution of vertical industries, various vertical enterprises as tenants require an intelligent network slicing paradigm to provide highly customizable services. AI-based management system for network slicing excel at deploying slices rapidly, allocating resources efficiently and avoiding service quality degradation. With the increasing diversity of service demands and complexity of communication environment, incorporating AI into network slicing is a necessity for improving flexibility and automation of resource management. This book targets advanced-level students in information and communication sciences as a secondary textbook. Researchers and industry professionals working in various areas, such as wireless communication systems, network management and orchestration, resource allocation and AI-enabled wireless networks will also find this book useful as reference book. . Computer networks . 60157 Wireless communication systems. 65781 Mobile communication systems. 65782 Artificial intelligence. 58441 Computer Communication Networks. 65689 Wireless and Mobile Communication. 65786 Artificial Intelligence. 58441 Zhang, Haijun. author. aut http://id.loc.gov/vocabulary/relators/aut 77386 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031582288 Printed edition: 9783031582301 Printed edition: 9783031582318 Wireless Networks, 2366-1445 67497 https://doi.org/10.1007/978-3-031-58229-5 ZDB-2-SCS ZDB-2-SXCS 60104 60104