With years of tremendous traffic and energy consumption growth, green radio has been
valued not only for theoretical research interests but also for the operational expenditure …

Computation off-loading in mobile edge computing (MEC) systems constitutes an efficient
paradigm of supporting resource-intensive applications on mobile devices. However, the …

After about a decade of intense research, spurred by both economic and operational
considerations, and by environmental concerns, energy efficiency has now become a key …

In this letter, we propose a practical non-linear energy harvesting model and design a
resource allocation algorithm for simultaneous wireless information and power transfer …

This monograph presents a unified framework for energy efficiency maximization in wireless
networks via fractional programming theory. The definition of energy efficiency is introduced …

This paper develops power control algorithms for energy efficiency (EE) maximization
(measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate …

The characterization of the global maximum of energy efficiency (EE) problems in wireless
networks is a challenging problem due to their nonconvex nature in interference channels …

With the massive multi-input multi-output (MIMO) antennas technology adopted for the fifth
generation (5G) wireless communication systems, a large number of radio frequency (RF) …

Federated learning is a new paradigm to support resource-intensive and privacy-aware
learning applications. It enables the Internet-of-Things (IoT) devices to collaboratively train a …

The Metaverse has received much attention recently. Metaverse applications via mobile
augmented reality (MAR) require rapid and accurate object detection to mix digital data with …