LEADER 04219nam 2200481 450 001 9910558496203321 005 20231110233209.0 010 $a3-030-96507-4 035 $a(MiAaPQ)EBC6942689 035 $a(Au-PeEL)EBL6942689 035 $a(CKB)21441191800041 035 $a(PPN)261521470 035 $a(EXLCZ)9921441191800041 100 $a20221111d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent resource management in vehicular networks /$fHaixia Peng, Qiang Ye, and Xuemin Shen 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (163 pages) 225 1 $aWireless Networks 311 08$aPrint version: Peng, Haixia Intelligent Resource Management in Vehicular Networks Cham : Springer International Publishing AG,c2022 9783030965068 327 $aIntro -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Overview of Vehicular Networks -- 1.1.1 Vehicular Network Applications -- 1.1.2 Vehicular Network Characteristics -- 1.1.3 Vehicular Network Classifications -- 1.1.4 Overview of Vehicular Communication Technologies -- 1.2 Challenges in Vehicular Networks -- 1.2.1 Vehicular Information Sharing -- 1.2.2 Task Computing -- 1.3 Resource Management in Vehicular Networks -- 1.3.1 Spectrum Resource Management -- 1.3.2 Computing Resource Management -- 1.3.3 Intelligent Multi-Resource Management -- 1.3.3.1 Methodology -- 1.4 Aim of the Monograph -- 1.5 Summary -- References -- 2 MEC-Assisted Vehicular Networking -- 2.1 MEC-Assisted ADVNET Architecture -- 2.1.1 Problem Statement -- 2.1.2 Architecture Design -- 2.2 SDN-Enabled Resource Management -- 2.2.1 Computing and Storage Resource Management -- 2.2.2 Spectrum Management -- 2.2.3 Open Research Issues -- 2.3 Aerial-Assisted Vehicular Network: Case Study -- 2.3.1 A Drone-Assisted MVNET Architecture -- 2.3.2 Intelligent Resource Management -- 2.3.3 Case Study -- 2.4 Summary -- References -- 3 Spectrum Slicing in MEC-Assisted ADVNETs -- 3.1 System Model -- 3.1.1 Dynamic Slicing Framework -- 3.1.2 Communication Model -- 3.2 Resource Management Scheme -- 3.2.1 Network-Level Spectrum Reservation -- 3.2.2 Vehicle-Level Spectrum Reservation -- 3.2.3 Transmit Power Control -- 3.3 Problem Analysis and Suboptimal Solution -- 3.3.1 Problem Analysis -- 3.3.2 Algorithm Design -- 3.4 Simulation Results -- 3.5 Summary -- References -- 4 Intelligent Multi-Dimensional Resource Allocation in MVNETs -- 4.1 System Model -- 4.1.1 Spectrum, Computing, and Caching Allocation -- 4.2 Problem Formulation and Transformation -- 4.2.1 Problem Formulation -- 4.2.2 Problem Transformation with DRL -- 4.3 DDPG Algorithm Based Solution -- 4.3.1 DDPG-Based Algorithm. 327 $a4.3.2 HDDPG-Based Algorithm -- 4.4 Simulation Results and Analysis -- 4.5 Summary -- References -- 5 Aerial-Assisted Intelligent Resource Allocation -- 5.1 System Model and Problem Formulation -- 5.1.1 UAV-Assisted MVNET -- 5.1.2 Resource Reservation Models -- 5.1.3 Problem Formulation -- 5.2 Centralized/Distributed Multi-Dimensional ResourceManagement -- 5.2.1 Problem Transformation -- 5.2.2 SADDPG/MADDPG-Based Solutions -- 5.3 Simulation Results -- 5.3.1 Performance Evaluation for the SADDPG-Based Scheme -- 5.3.2 Performance Evaluation for the MADDPG-BasedScheme -- 5.4 Summary -- References -- 6 Conclusions and Future Research Directions -- 6.1 Conclusions -- 6.2 Future Research Directions -- References -- Index. 410 0$aWireless Networks 606 $aVehicular ad hoc networks (Computer networks)$xSafety measures 606 $aVehicular ad hoc networks (Computer networks)$vTextbooks 615 0$aVehicular ad hoc networks (Computer networks)$xSafety measures. 615 0$aVehicular ad hoc networks (Computer networks) 676 $a388.312 700 $aPeng$b Haixia$01217077 702 $aYe$b Qiang 702 $aShen$b Xuemin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910558496203321 996 $aIntelligent resource management in vehicular networks$92971282 997 $aUNINA