6G Multimedia Communications

Analysis, Design, and Optimisation

Inbunden, Engelska, 2026

1 579 kr

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Beskrivning

An up-to-date examination of the latest technologies and research impacting 6G multimedia communications In 6G Multimedia Communications: Analysis, Design, and Optimization, a team of distinguished researchers delivers a comprehensive new discussion of the theory, models, techniques, analysis, design, and optimization of multimedia communications in 6G networks. The authors explain the potential of multimedia communication systems using recent edge techniques, including caching, resource sharing, power allocation, multicasting, and D2D communications. You'll find solutions to various real-world application- and service-level problems in industries like surveillance, entertainment, eHealth, eLearning, smart home and environment management, and public safety. A thorough introduction to cross-layer optimization design for multimedia applications and services in content delivery networksComprehensive explorations of social-aware resource sharing and caching for video transmission in ultra-dense networksPractical discussions of MEC technology, mobile applications, and smart city scenariosComplete treatment of future wireless content delivery network technology for multimedia communicationsPerfect for working telecommunication professionals, 6G Multimedia Communications will also benefit researchers and graduate students with an interest in cutting-edge network technology.

Produktinformation

Utgivningsdatum:2026-10-19
Format:Inbunden
Språk:Engelska
Antal sidor:256
Förlag:John Wiley & Sons Inc
ISBN:9781394232949

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Mer om författaren

Nguyen-Son Vo, PhD, works with the Institute of Fundamental Applied Sciences at Duy Tan University in Vietnam. His research interests focus on content caching and delivering in wireless networks, multimedia wireless communications, quality of experience and sustainability provision in wireless networks for smart cities, and for disaster and environment management. Trung Q. Duong (Fellow of IEEE and Fellow of AAIA) is a Canada Excellence Research Chair (CERC) and a Full Professor at Memorial University of Newfoundland, Canada. He is a Research Chair of the Royal Academy of Engineering and also an adjunct Chair Professor in Telecommunications at Queen's University Belfast, UK. His research interests include quantum communications, quantum machine learning, quantum optimization, and wireless communications. Trang Hoang, PhD, is an Associate Professor at the Faculty of Electricals-Electronics Engineering, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam. His research interests include quantum-inspired machine learning, optimization, AI for IC design and wireless communications.

Innehållsförteckning

ContentsPrefaceAcronyms1 AN OVERVIEW OF MULTIMEDIA COMMUNICATIONS1.1 Advanced Applications and Services in 6G Networks1.2 Multimedia Applications and Services in 6G Networks1.3 Techniques for 6G Multimedia Communications1.3.1 Edge computing assisted multimedia communications1.3.2 Multicasting assisted multimedia communications1.3.3 D2D multimedia communications1.3.4 Caching assisted multimedia communications1.4 Multimedia Communications in 6G Networks: Challenges and Research Directions1.4.1 Challenges1.4.2 Research directions1.5 Conclusion 2 ENCODING RATE SELECTION AND PROBABILISTICCACHING FOR VIDEO OFFLOADING IN DENSE D2D NETWORKS2.1 Introduction2.2 RSC System for Video Offloading2.2.1 RSC components2.2.2 Preliminary RSC models2.2.2.1 Video popularity model2.2.2.2 Rate-distortion model2.2.2.3 Homogeneous Poisson Point Process model2.2.3 RSC operation description2.3 Analysis and Formulation of RSC Model for Video Offloading2.3.1 Hit probabilities2.3.2 Achievable rate probability2.3.3 Average playback quality and resource consumption 362.4 RSC Optimisation Design2.4.1 RSC optimisation problem2.4.2 RSC optimisation solution with genetic algorithms2.5 Performance Evaluation of RSC2.5.1 System setting2.5.2 GA convergence evaluation2.5.3 RSC evaluation2.6 Conclusion 3 SPECTRUM SHARING AND POWER ALLOCATION FOR VIDEO TRANSMISSION IN MULTIHOP MULTI-PATH D2D NETWORKS3.1 Introduction3.2 SPA Model for Video Transmission in MHMP D2D Networks3.3 Analysis and Formulations of SPA Model3.3.1 MHMP D2D capacity3.3.2 Normal cellular capacity3.3.3 Average delivery capacity at RU3.3.4 SINR at SH3.4 SPA Optimisation Design3.4.1 SPA optimisation problem3.4.2 SPA optimisation with GA3.5 Performance Evaluation of SPA3.5.1 Parameter setting3.5.2 GA convergence evaluation3.5.3 SPA evaluation3.5.3.1 Capacity performance3.5.3.2 Power consumption performance3.6 Conclusion 4 SOCIAL-AWARE SPECTRUM SHARING AND CACHING HELPER SELECTION FOR VIDEO MULTICASTING IN D2D NETWORKS4.1 Introduction4.2 System Model for Video Multicasting in D2D Networks with SSC4.3 Analysis and Formulations of SSC .4.3.1 Social relationship4.3.2 Wireless channels4.3.3 Capacity at RUs .4.3.4 Capacity fluctuation amongst RUs4.3.5 SINR at SHs4.4 SSC Optimisation Design4.4.1 SSC optimisation problem4.4.2 SSC optimisation solution with GA4.5 Performance Evaluation of SSC4.5.1 System setting4.5.2 GA convergence evaluation4.5.3 SSC evaluation4.6 Conclusion 5 RESOURCE SHARING ANDMULTI-TIER MULTI-RATE CACHING FOR COOPERATIVE VIDEO STREAMING IN ULTRA-DENSE NETWORKS5.1 Introduction5.2 RMC Model for Cooperative Video Streaming5.3 Analysis and Formulation of RMC Model5.3.1 Preliminary analysis and formulation5.3.1.1 Achievable rate probability at SHs5.3.1.2 Achievable rate probability at VHs5.3.1.3 Achievable rate probability at RUs5.3.2 Objective function5.3.3 Resource consumption5.4 RMC Optimisation Design5.5 Performance Evaluation of RMC5.6 Conclusion 6 SOCIAL-AWARE RESOURCE SHARING AND CACHING FOR COOPERATIVE VIDEO TRANSMISSION IN ULTRADENSE NETWORKS6.1 Introduction6.2 SRC Model for Cooperative Video Transmission6.3 Formulation of SRC Model6.3.1 Social relationship of D2D pairs6.3.2 Wireless channels6.3.3 System delivery capacity6.3.3.1 Capacity delivered to SHs6.3.3.2 Capacity delivered to VHs6.3.3.3 Capacity delivered to RUs6.3.4 Objective functions6.4 SRC Optimisation Design6.5 Performance Evaluation of SRC6.5.1 System setting6.5.2 System performance versus C6.5.3 System performance versus δ6.5.4 System performance versus α6.5.5 System performance versus N6.5.6 System performance versus J6.5.7 System performance versus γ06.5.8 System performance versus distance between MBSand MUs6.6 Conclusion 7 SPECTRUM SHARING AND CACHING FOR MULTIMEDIA APPLICATIONS AND SERVICES IN CONTENT DELIVERY NETWORKS7.1 Introduction7.2 System Model of SCF7.3 Analysis and Formulation of SCF7.3.1 Hit ratio7.3.2 System delivery capacity7.4 SCF Optimisation Design7.4.1 NRO7.4.2 SCO7.5 Performance Evaluation of SCF7.5.1 System setting7.5.2 Performance metrics7.5.2.1 Hit ratio performance7.5.2.2 System delivery capacity performance7.6 Conclusion 8 JOINT ENERGY, BANDWIDTH AND QUALITY OPTIMISATION FOR MULTIMEDIA APPLICATIONS AND SERVICES IN CONTENT DELIVERY NETWORKS8.1 Introduction8.2 M-IoT system with EBQ Framework8.3 Analysis and Formulation of EBQ Optimisation Framework8.3.1 Source video packetisation scheme8.3.2 Energy consumption8.3.3 Bandwidth consumption8.3.4 Quality guarantee8.4 ARA Optimisation Problem and Solution8.4.1 ARA optimisation problem8.4.2 Solution with GA8.5 Performance Evaluation8.5.1 Parameters setting8.5.2 Convergence rate of GA8.5.3 Performance metrics8.5.3.1 EBQ performance versus skewed importanceparameter αi8.5.3.2 EBQ performance versus quality guaranteecoefficient δD8.5.3.3 EBQ performance versus bandwidth consumptioncoefficient δB8.6 Conclusion9 ACTIVE DUTY SCHEDULING AND ENCODING RATE ALLOCATION FOR MULTIMEDIA APPLICATIONS AND SERVICES IN CONTENT DELIVERY NETWORKS9.1 Introduction9.2 ADS-ARA Model9.3 ADS-ARA Formulation and Analysis9.3.1 Capture energy consumption9.3.2 Packetisation and transmission energy consumption9.3.2.1 Source video analysis9.3.2.2 Packetisation energy consumption9.3.2.3 Transmission energy consumption9.3.3 Playback quality9.3.4 Backhaul bandwidth consumption9.4 ADS-ARA Optimisation Design9.4.1 ADS problem and solution9.4.2 ARA problem and solution9.5 Performance Evaluation of ADS-ARA9.5.1 System setting9.5.2 ADS performance evaluation9.5.3 ARA performance evaluation9.5.3.1 ARA performance versus α9.5.3.2 ARA performance versus δD9.6 Conclusion 10 OPTIMAL COOPERATIVE VIDEO STREAMING IN DENSE D2D NETWORKS10.1 Introduction10.2 CVS System with RDO in Dense D2D Networks10.3 RDO Formulation and Analysis10.3.1 RDM and LMDC-FEC packetisation10.3.2 End-to-end reconstructed distortion10.3.3 Energy consumption .10.3.4 SINR at SHs10.4 RDO Optimisation Design10.4.1 RDO problem10.4.2 GA solution10.5 Performance Evaluation of RDO10.5.1 System setting10.5.2 Convergence evaluation of GA10.5.3 Performance metrics10.5.3.1 Performance metrics versus α10.5.3.2 Performance metrics versus εh10.5.3.3 Performance metrics versus E10.5.3.4 Performance metrics versus γ(0) and H10.5.3.5 Performance metrics versus ε(0)10.6 Conclusion 11 CROSS-LAYER OPTIMISATION DESIGN FOR MULTIMEDIA APPLICATIONS AND SERVICES IN CONTENT DELIVERY NETWORKS11.1 Introduction11.2 CLD Framework for MAS11.2.1 APP layer11.2.2 DLK layer11.2.3 PHY layer11.3 Analysis and Formulation of CLD Optimisation Framework11.3.1 Real-time traffic11.3.2 Non-real-time traffic11.3.3 System performance metrics11.3.3.1 PDR11.3.3.2 PER11.3.3.3 Throughput and delay11.4 CLD Problem and Solution11.4.1 Optimisation problem for MAS11.4.1.1 Minimum PDR11.4.1.2 Minimum PER11.4.2 Optimisation problem for video streaming11.5 Performance Evaluation of CLD11.5.1 CLD for MAS11.5.1.1 Dependence on arrival rate11.5.1.2 Dependence on average SNR11.5.2 CLD for video streaming11.6 Conclusion Index