Federated learning (FL) is recognized as a promising privacy-preserving distributed
machine learning paradigm, given its potential to enable collaborative model training among …

In this article, we study an energy efficient management of two-tier heterogeneous cellular
networks (HetNets) which consist of one macro base station (BS) and multiple micro base …

In this paper, we suggest that the combination of edge computing in the form of data
compression with communication at the base stations (BSs) for transmissions to their …

Harvesting kinetic energy from body movement is regarded as a promising rechargeable
energy source for wearable devices with low‐power. Energy allocation is essential for …

In this paper, cooperative cognitive multiple access schemes with harvesting capability are
considered for improving the energy efficiency and spectrum utilization. We consider three …

In this paper, we propose an online power allocation (PA) scheme to maximize the time
averaged sum rate for multiple downlink receivers with energy harvesting transmitter. The …

In this paper, the online power control problem for energy harvesting wireless
communication system with a finite storage capacity battery is addressed, where the channel …

In this paper, we propose an online power allocation scheme to maximize the time average
of the expected value of sum rate for multiple downlink receivers with energy harvesting …