... Model-based, AI-based, or both?” IEEE Trans. on Communications, vol. 67, no. 10, pp. 7331–7376, 2019. [5] Y. Xu et al., “Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification,” IEEE Journal ...

... traffic load information of each terminal, an optimal access control strategy was also developed to solve this optimization problem. Simulation results validated the theoretical analyses and demonstrated the effectiveness of our ...

... Wireless traffic prediction with scalable gaussian process: framework, algorithms, and verification. IEEE J. Sel. Areas Commun. 37(6), 1291–1306 (2019) 2. Yin, F., et al.: FedLoc: federated learning framework for data-driven cooperative ...

This textbook takes a unified view of the fundamentals of wireless communication and explains cutting-edge concepts in a simple and intuitive way.

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible ...

This adds both expense and size to the devices. This tutorial focuses on the signal processing aspects of position and orientation estimation using inertial sensors.

Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces.

GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning.

This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms.

This book surveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver.