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020 _a9783031582295
_9978-3-031-58229-5
024 7 _a10.1007/978-3-031-58229-5
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
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_223
100 1 _aGuan, Wanqing.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102137
245 1 0 _aNetwork Slicing for Future Wireless Communication
_h[electronic resource] :
_bTheory and Application /
_cby Wanqing Guan, Haijun Zhang.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aIX, 113 p. 35 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aWireless Networks,
_x2366-1445
505 0 _aIntroduction -- 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.
520 _aThis 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. .
650 0 _aComputer networks .
_931572
650 0 _aWireless communication systems.
_93474
650 0 _aMobile communication systems.
_94051
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputer Communication Networks.
_9102141
650 2 4 _aWireless and Mobile Communication.
_9102143
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aZhang, Haijun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9102144
710 2 _aSpringerLink (Online service)
_9102146
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031582301
776 0 8 _iPrinted edition:
_z9783031582318
830 0 _aWireless Networks,
_x2366-1445
_9102147
856 4 0 _uhttps://doi.org/10.1007/978-3-031-58229-5
912 _aZDB-2-SCS
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