6G Multimedia Communications: Analysis, Design, and Optimization

An up-to-date examination of the latest technologies and research impacting 6G multimedia communications

In 6G Multimedia Communications, 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 real-world applications 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 networks
• Comprehensive explorations of social-aware resource sharing and caching for video transmission in ultra-dense networks
• Practical discussions of MEC technology, mobile applications, and smart city scenarios
• Complete treatment of future wireless content delivery network technology for multimedia communications

Perfect for working telecommunication professionals, 6G Multimedia Communications will also benefit researchers and graduate students with an interest in cutting-edge network technology.

NGUYEN-SON VO, PhD, works with the Institute of Fundamental Applied Sciences at Duy Tan University, 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.