32 citations · 94 across the 21 of their papers we have counts for
5 papers · 1 filter
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control
Amin Shojaeighadikolaei, Morteza Hashemi
The increasing trend in adopting electric vehicles (EVs) will significantly impact the residential electricity demand, which results in an increased risk of transformer overload in…
Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems
Babak Badnava, Keenan Roach, Kenny Cheung +2
In this paper, we consider a task offloading problem in a multi-access edge computing (MEC) network, in which edge users can either use their local processing unit to compute their…
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems
Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung +1
In this paper, we propose a data-driven framework for collaborative wideband spectrum sensing and scheduling for networked unmanned aerial vehicles (UAVs), which act as the seconda…
Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks
Masoud Ghazikor, Keenan Roach, Kenny Cheung +1
In this paper, we present an analytical framework to explore the interplay of signal interference and transmission queue management, and their impacts on the performance of unmanne…
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting
Arman Ghasemi, Amin Shojaeighadikolaei, Morteza Hashemi
Renewable energy sources, such as wind and solar power, are increasingly being integrated into smart grid systems. However, when compared to traditional energy resources, the unpre…