Keith Avery

Recent advances in physical reservoir computing: A review

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

Radiation-induced soft errors in advanced semiconductor technologies

Nonorthogonal Multiple Access for 5G and Beyond

Exclusive Use Spectrum Access Trading Models in Cognitive Radio Networks: A Survey

Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach

A Survey on the Edge Computing for the Internet of Things

Satellite Communications in the New Space Era: A Survey and Future Challenges

An Introduction to Deep Learning for the Physical Layer

A Survey on Machine-Learning Techniques in Cognitive Radios

Auction Approaches for Resource Allocation in Wireless Systems: A Survey

A Critical Review of Recent Progress in Mid-Range Wireless Power Transfer

Investigation of Adaptive Matching Methods for Near-Field Wireless Power Transfer

Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

Data-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals Under Sub-Nyquist Rate

Heavy ion-induced digital single-event transients in deep submicron Processes

Optimal Myopic Sensing and Dynamic Spectrum Access in Cognitive Radio Networks with Low-Complexity Implementations

Implementation of a Cognitive Radio Front-End Using Rotatable Controlled Reconfigurable Antennas

Asymmetric Cooperative Communications Based Spectrum Leasing via Auctions in Cognitive Radio Networks

Wideband Spectrum Sensing and Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios