What is this book going to cover?
Generative AI (GenAI) and Large Language Models (LLMs) hold transformative potential for Beyond 5G (B5G) networks, fostering intelligent and autonomous network operations. These technologies can analyze vast amounts of data from various sources, enabling predictive maintenance, automated network optimization, and personalized services. They contribute to the creation of self-organizing networks that adapt to changing conditions in real-time, improving efficiency, reducing latency, and enhancing user experiences. Moreover, GenAI and LLMs facilitate the development of innovative applications and services, driving the evolution of B5G networks towards more adaptive, resilient, and user-centric architectures. As these networks become increasingly complex, the role of GenAI and LLMs becomes crucial in managing the network lifecycle and delivering the full potential of B5G capabilities.
From the User Equipment (UE) perspective, integrating GenAI and LLMs in Beyond 5G (B5G) and 6G networks can significantly enhance user experiences and device capabilities. Integrating GenAI and LLMs in UE for B5G and 6G networks represents a significant leap towards a more personalized, efficient, and intuitive user experience. These technologies can make devices not just tools but intelligent partners that understand and adapt to user needs, preferences, and environments, offering unprecedented levels of personalization and functionality.
From the B5G Radio Access Network (RAN) perspective, GenAI and LLMs can significantly enhance the design, operation, and user experience. Integrating GenAI and LLMs into B5G RAN is not just about enhancing current capabilities but also about reimagining network operations and services for the future. These technologies pave the way for networks that are more adaptive, efficient, and responsive, capable of meeting the complex and dynamic demands of the next generation of users and applications.
From the B5G core network perspective, GenAI and LLMs can revolutionize the way core networks are managed, operated, and evolved. Incorporating GenAI and LLMs into the B5G core network represents a significant shift towards more intelligent, flexible, and user-centric operations. These technologies enable the core network to not only respond to current requirements but also anticipate and adapt to future needs and challenges, driving innovation and excellence in service delivery and network performance.
From the service management and orchestration perspective in B5G and 6G networks, GenAI and LLMs can fundamentally transform how network services are managed, delivered, and optimized. Integrating GenAI and LLMs into service management and orchestration in B5G and 6G networks represents a paradigm shift towards more autonomous, efficient, and personalized network operations. By leveraging these technologies, networks can not only respond to current demands but also anticipate and adapt to future needs, driving innovation and excellence in service delivery.
General Manager
Dr. Sukhdeep Singh
Samsung R&D India Bangalore
CVP / CTO
Mohan Rao GNS
Samsung R&D India Bangalore
Associate Professor
Prof. Yulei Wu
University of Bristol, UK
OUR EDITORIAL TEAM
Associate Dean / Professor
Prof. Neeraj Kumar
Thapar University, India
General Manager
Dr. Madhan Raj K.
Samsung R&D India Bangalore
Associate Professor
Prof. Navrati Saxena
San Jose State University, CA, USA
Professor
Prof. Ali Kashif Bashir
Manchester Metropolitan University, UK
Professor
Prof. Kshirasagar Naik
University of Waterloo, Canada
Director
Ashok Kumar Reddy Chavva
Samsung R&D India Bangalore
GenAI & LLMs for UEs
Chapter: Enhanced User Experiences
1. Personalised connectivity
2. Predictive & Adaptive Interfaces
Chapter: Improved Security & Privacy
1. Proactive Threat Detection
2. Privacy Preserving personlization
Chapter: Intelligent & Autonomous Operations
1. Smart Resource Management
2. Adaptive Learning for Enhanced Functionality
Chapter: Enhanced Accessibility
1. Accessible Communication
2. Cotext Aware Assistance
GenAI & LLMs for B5G RAN
Chapter: Advanced Beamforming and MIMO
1. Dynamic Beamforming
2. Massive MIMO Optmization
Chapter: Virtualized & Open-RAN
1. Resource Orchestration in vRAN
2. Innovation through Open RAN
Chapter: Self-Organizing Networks
1. Automated Network Configuration
2. Self-Healing Mechanisms.
Chapter: Spectrum & Energy Efficiency
1. Spectrum Optimization
2. Energy-Saving Strategies
GenAI & LLMs for B5G Core
Chapter: Network Slicing & Virtuzlization
1. Dynamic Network Slicing
2. Virtualization & Orchestration
Chapter: Advanced Data Management & Analytics
1. Predictive Analytics
2. Real-Time Decision Making
Chapter: Enhanced Service Management
1. Automated Service Deployment
2. Quality of Service Optimization
Chapter: Personalization & User Experience
1. Contextual Service Provisioning
2. Intelligent Customer Support
GenAI & LLMs for Service Mngmnt & Orchestration
Chapter: Automated Service Management
1. Dynamic Service Creation & Deployment
2. Self-Healing Services..
Chapter: Predictive Analytics for Service Optimization
1. Traffic Prediction and Load Balancing
2. QoS Optimization
Chapter: Intelligent Orchestration
1. Resource Orchestration
2. Network Slice Orchestration
World's First Book on GenAI & LLMs for Beyond 5G Networks
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