Название: Paradigms of Smart and Intelligent Communication, 5G and BeyondАвтор: Amrita Rai, Dinesh Kumar Singh, Amit Sehgal
Издательство: Springer
Год: 2023
Страниц: 297
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
This book focuses on both theory and applications of Artificial Intelligence and Machine Learning in the broad areas of communication and networking. This book focuses on the ongoing research work and future scope for various open research issues related to sustainable design, development, and analysis of smart communication, 5G and beyond, with the integration of Artificial intelligence and IoT. It addresses fundamental technology components for 5G and beyond, which include modern advancements in communication and networking in a real-world application. The book presents the convergence of Artificial Intelligence, Machine Learning, and IoT with 5G and beyond wireless networks to give some ice-breaking solutions in radio resource allocation, network management, and cybersecurity. This book will be a valuable resource for academicians, researchers, and professionals working in artificial intelligence/machine learning and its applications in communication and 5G.
Artificial Intelligence (AI) is computer intelligence that manifests itself in “cognitive” capabilities that people identify with other brains. AI employs various technologies including Deep Learning, Machine Learning and Natural Language Processing. The self-learning systems are utilizing pattern recognition, natural language processing and data mining to replicate the person's brain functions are called cognitive computing. Cloud-based communication has bolstered this by delivering vital communication services. However, due to restricted capacities and a need for low latency, high reliability, and a good user experience, providing a cloud-based environment and intensive data processing algorithms are insufficient. Cognitive computing is considered a branch of computer science that simulates human cognitive processes. As a result, when cognitive science skills are combined with communications and existing systems may be improved, resulting in higher accuracy and lower latency. We have gone through cognition-based communications in depth in this study, which blends smart communication technologies and intelligent computing based on AI. Following is an overview of the cognitive computing and its evolution. Then, combining networking, analytics, and cloud computing, a systematic and comprehensive framework for using cognition in communication is provided.
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