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Full Description
This book analyzes the role of joint coding and modulation schemes in revolutionizing the way communication networks function. The primary objectives of the book are:
1. To discuss the impact of joint coding and modulation schemes on communication networks: The book aims to examine how joint coding and modulation are transforming the traditional communication networks by automating processes, improving efficiency, and enhancing overall network performance.
2. To explore the potential of joint coding and modulation schemes in improving network management: The book delves into the various joint coding-based techniques, such as machine learning and natural language processing, that can help in network management tasks such as fault detection, performance optimization, and predictive maintenance.
3. To highlight the importance of joint coding and modulation in handling the increasing network complexities: With the ever-increasing amount of data and interconnected devices, communication networks are becoming more complex. The book discusses how AI can assist in managing these complexities by providing real-time insights and proactive solutions.
4. To emphasize the role of joint coding and modulation in facilitating better communication services: The book explores the use of joint coding-based virtual assistants and chatbots in enhancing communication services for users. It also discusses the potential of joint coding in creating personalized and targeted communication experiences.
5. To provide insights on the future of communication networks with joint coding and modulation schemes: The book aims to provide a perspective on the future of communication networks with the widespread integration of joint coding. It discusses the potential challenges, opportunities, and advancements that can be expected in the field.
Overall, the book is to highlight the crucial role of joint coding and modulation as a game-changer in the evolution of communication networks and how it can positively impact various aspects of network management and communication services.
Contents
AI-Based Green Computing with 6G Network to Improve the Quality of Service & Security for Users.- Evaluation of 6G Mobile Network Latency Mobile Edge Computing Cloud Architecture.- A Hybrid Deep Learning Models for Forecasting Optimal Wireless 6G Iot Network.- Deployment of Joint Source-Channel Coding for Future 6G Network Performance.- Energy-Efficient Communication Strategies in 5G-Advanced and 6G Systems.- Integration of quantum communication with 6 G network to optimize the model for secure communication.- Improving the Performance of 6G Networks by Allocating Resources Based on Machine Learning.- Phase-wise information by intelligent reconfiguration structure to enhance the 6G wireless Network.- Integrating Irregular Reconfigurable Intelligent Surfaces with Physical-Layer Security for 6G Networks.- MIMO-Aided IoT Device to Highly Efficient & Low Complexity Index Modulation: Antenna Transmission.- Modulation Recognition Scheme to Enhance the Performance under Various Channel.- Machine Learning Adaptive Coding Modulation for Reliable Drone Connectivity in B5G.- A Dynamic Trust Management and Multi-factor Authentication for Secure 6G Machine Type Communication.- Transformation Connectivity: AI and Updated Technologies in 6G Communication System.- The Impact of AI on Next-Generation Networking Systems Development.- Investigating 6G Mobile Networks: Current State, Challenges, and Solutions.- A Deep Learning Based Correction Decoding Method for STT-MRAM.- Energy Efficiency Optimization in Green WIFI Networks: An ML and AI.- Energy Efficiency Optimization in Green WIFI Networks: An ML and AI.- Innovations In Deep Learning for Improved 6G Network Performance.- An Innovative Modulation Scheme Utilizing.- Overview of Cloud Computing and AI in Healthcare.- Technological Innovation in AI for Healthcare Applications.
