Wireless Edge Caching: Modeling, Analysis, and Optimization

Uncoded and coded caching techniques are essential for improving backhaul, load minimization, deployment cost reduction, security, energy efficiency, and the quality of the user experience in future wireless network design. This book covers topics from high-level architectures to specific requirement-oriented caching design and analysis, including big-data enabled caching, caching in cloud-assisted 5G networks, and security.

\n Format: Hardback
\n Length: 424 pages
\n Publication date: 11 March 2021
\n Publisher: Cambridge University Press
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Understanding both uncoded and coded caching techniques is crucial for designing future wireless networks that will meet the ever-growing demands of users. In this comprehensive book, expert authors offer innovative solutions that will enhance backhaul, load minimization, deployment cost reduction, security, energy efficiency, and the overall user experience.

The book covers a wide range of topics, from high-level architectures to specific requirement-oriented caching design and analysis. It delves into big-data enabled caching, caching in cloud-assisted 5G networks, and security, providing valuable insights for academic researchers, postgraduate students, and engineers working in the field of wireless communications.

By leveraging uncoded caching techniques, such as header compression and data deduplication, wireless networks can significantly reduce backhaul congestion and improve data transmission efficiency. This, in turn, leads to reduced deployment costs and improved energy efficiency.

Coded caching, on the other hand, involves using sophisticated algorithms to optimize caching decisions based on user behavior, network conditions, and content popularity. This technique can enhance the quality of the user experience by reducing latency and improving data delivery rates.

The book also discusses the challenges associated with caching in wireless networks, such as cache coherence, cache management, and cache replacement strategies. It provides practical solutions to these challenges, including distributed caching, content-aware caching, and cache partitioning.

With its comprehensive coverage of caching techniques, this book is an essential resource for anyone involved in the design and optimization of wireless networks. It will help you stay ahead of the curve and ensure that your networks are capable of delivering the high-quality experiences that users expect.

\n Weight: 968g\n
Dimension: 177 x 250 x 29 (mm)\n
ISBN-13: 9781108480833\n \n