001448713 000__ 06160cam\a2200625\i\4500
001448713 001__ 1448713
001448713 003__ OCoLC
001448713 005__ 20230310004253.0
001448713 006__ m\\\\\o\\d\\\\\\\\
001448713 007__ cr\cn\nnnunnun
001448713 008__ 220814s2022\\\\sz\a\\\\o\\\\\001\0\eng\d
001448713 019__ $$a1340957831
001448713 020__ $$a9783030980641$$q(electronic bk.)
001448713 020__ $$a3030980642$$q(electronic bk.)
001448713 020__ $$z9783030980634
001448713 020__ $$z3030980634
001448713 0247_ $$a10.1007/978-3-030-98064-1$$2doi
001448713 035__ $$aSP(OCoLC)1340947085
001448713 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dN$T$$dOCLCF$$dOCLCQ
001448713 049__ $$aISEA
001448713 050_4 $$aTK5103.4
001448713 08204 $$a621.382$$223/eng/20220823
001448713 24500 $$aBroadband communications, computing, and control for ubiquitous intelligence /$$cLin Cai, Brian L. Mark, Jianping Pan, editors.
001448713 264_1 $$aCham :$$bSpringer,$$c[2022]
001448713 264_4 $$c©2022
001448713 300__ $$a1 online resource (xiii, 352 pages) :$$billustrations (chiefly color).
001448713 336__ $$atext$$btxt$$2rdacontent
001448713 337__ $$acomputer$$bc$$2rdamedia
001448713 338__ $$aonline resource$$bcr$$2rdacarrier
001448713 4901_ $$aWireless networks
001448713 500__ $$aIncludes index.
001448713 504__ $$aReferences -- 4 Utility-Based Dynamic Resource Allocation in IEEE 802.11ax Networks: A Genetic Algorithm Approach -- 4.1 Introduction -- 4.2 Related Works -- 4.3 Background on OFDMA and RU Allocation in IEEE 802.11ax -- 4.4 System Model -- 4.5 Utility-Based Dynamic Resource Allocation Scheme -- 4.5.1 Optimal Resource Allocation Problem Formulation -- 4.5.2 Genetic Algorithm -- 4.6 Simulation Results -- 4.6.1 UDRA vs. Exhaustive Search -- 4.6.2 Network-Wise Throughputs and Fairness Indexes -- 4.7 Conclusion -- References
001448713 5050_ $$aIntro -- Preface -- Contents -- Contributors -- 1 Tribute to Professor Jon W. Mark -- Personal Stories -- Greeting Messages from Alumni -- Part I Broadband Communications for Ubiquitous Connectivity -- 2 Network Slicing for 5G Networks and Beyond -- 2.1 Introduction to 5G Communication Networks -- 2.2 Network Slicing -- 2.2.1 Network Slicing in 5G Wireless Networks -- 2.2.1.1 Dynamic Radio Resource Slicing Framework -- 2.2.2 Network Slicing in 5G Core Networks -- 2.2.2.1 Joint Computing and Transmission Resource Slicing -- 2.2.3 AI-Assisted Network Slicing in Beyond 5G Networks
001448713 5058_ $$a2.2.3.1 Beyond 5G Networks -- 2.2.3.2 AI-Assisted Network Slicing -- 2.3 Case Study -- 2.4 Conclusion -- References -- 3 Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning -- 3.1 Introduction -- 3.2 Related Works -- 3.3 System Model and Problem Formulation -- 3.3.1 Network Environment -- 3.3.2 Spectrum Access -- 3.3.3 Energy-Related Considerations -- 3.3.4 Problem Formulation -- 3.4 Preliminaries -- 3.5 Learning Algorithm Design for Proactive Self-Regulation Strategy -- 3.5.1 State Space -- 3.5.1.1 Case of UAV Quit -- 3.5.1.2 Case of UAV Join-In
001448713 5058_ $$a3.5.2 Action Definition -- 3.5.3 Reward Function Design -- 3.5.4 State Transition Definition -- 3.5.4.1 Case of UAV Quit -- 3.5.4.2 Case of UAV Join-In -- 3.5.5 Training Tune-Ups -- 3.5.5.1 Tune-Ups for Neural Network Training -- 3.5.5.2 Tune-Ups for RL Training -- 3.5.6 Parallel Computing -- 3.6 Proactive Self-Regulation with Dynamic User Distribution -- 3.7 Numerical Results -- 3.7.1 Simulation Setup -- 3.7.2 Simulation Results -- 3.7.2.1 Case Without UAV or User Dynamics -- 3.7.2.2 Case of UAV Quit -- 3.7.2.3 Case of UAV Join-In -- 3.7.2.4 Case of UAV and User Dynamics -- 3.8 Conclusions
001448713 5058_ $$a5 Intelligentized Radio Access Network for Joint Optimization of User Association and Power Allocation -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Main Contribution -- 5.4 System Model -- 5.5 Problem Formulation -- 5.6 DQL Framework -- 5.6.1 DQN -- 5.6.2 Design the DQN -- 5.6.2.1 Actions -- 5.6.2.2 Reward -- 5.7 Results and Discussions -- 5.7.1 Training and Testing Results -- 5.7.2 UE Performance -- 5.7.3 Robustness -- 5.7.4 Scalability -- 5.7.5 Closer Look at DQN -- 5.8 Summary -- References -- 6 Routing Algorithms for Heterogeneous Vehicular Networks -- 6.1 Introduction -- 6.2 Background
001448713 506__ $$aAccess limited to authorized users.
001448713 520__ $$aThis book reports on the latest advances from both industry and academia on ubiquitous intelligence and how it is enabled by 5G/6G communication technologies. The authors cover network protocol and architecture design, machine learning and artificial intelligence, coordinated control and digital twins technologies, and security and privacy enhancement for ubiquitous intelligence. The authors include recent studies of performance analysis and enhancement of the Internet of Things, cyber-physical systems, edge computing, and cyber twins, all of which provide importance guidance and theoretical tools for developing future ubiquitous intelligence. The content of the book will be of interest to students, educators, and researchers in academia, industry, and research laboratories. Provides comprehensive coverage of enabling communications, computing, and control technologies for ubiquitous intelligence; Presents a novel paradigm of ubiquitous intelligence powered by broadband communications, computing, and control; Includes a review of 5G/6G communication technologies, network protocol and architecture design, and ubiquitous computing.
001448713 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 23, 2022).
001448713 650_0 $$aBroadband communication systems.
001448713 650_0 $$aWireless communication systems.
001448713 650_0 $$aUbiquitous computing.
001448713 650_0 $$aArtificial intelligence.
001448713 655_0 $$aElectronic books.
001448713 7001_ $$aCai, Lin,$$d1973-$$eeditor.
001448713 7001_ $$aMark, Brian L.$$q(Brian Lai-bue),$$d1969-$$eeditor.
001448713 7001_ $$aPan, Jianping,$$eeditor.
001448713 77608 $$iPrint version:$$z3030980634$$z9783030980634$$w(OCoLC)1295352630
001448713 830_0 $$aWireless networks (Springer (Firm))
001448713 852__ $$bebk
001448713 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-98064-1$$zOnline Access$$91397441.1
001448713 909CO $$ooai:library.usi.edu:1448713$$pGLOBAL_SET
001448713 980__ $$aBIB
001448713 980__ $$aEBOOK
001448713 982__ $$aEbook
001448713 983__ $$aOnline
001448713 994__ $$a92$$bISE