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08/24/2023
An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control
The increasing trend in adopting electric vehicles (EVs) will significan...
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08/12/2023
Energy-Efficient Deadline-Aware Edge Computing: Bandit Learning with Partial Observations in Multi-Channel Systems
In this paper, we consider a task offloading problem in a multi-access e...
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08/09/2023
Exploring the Interplay of Interference and Queues in Unlicensed Spectrum Bands for UAV Networks
In this paper, we present an analytical framework to explore the interpl...
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08/09/2023
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems
In this paper, we propose a data-driven framework for collaborative wide...
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02/27/2023
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting
Renewable energy sources, such as wind and solar power, are increasingly...
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07/01/2022
QoE-Centric Multi-User mmWave Scheduling: A Beam Alignment and Buffer Predictive Approach
In this paper, we consider the multi-user scheduling problem in millimet...
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11/03/2020
Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks
Fundamental requirements of mmWave systems are peak data rates of multip...
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09/23/2020
A Multi-Agent Deep Reinforcement Learning Approach for a Distributed Energy Marketplace in Smart Grids
This paper presents a Reinforcement Learning (RL) based energy market fo...
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09/23/2020
Demand Responsive Dynamic Pricing Framework for Prosumer Dominated Microgrids using Multiagent Reinforcement Learning
Demand Response (DR) has a widely recognized potential for improving gri...
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09/01/2020
On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks
The spectrum-rich millimeter wave (mmWave) frequencies have the potentia...
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08/25/2020
Delay-Efficient and Reliable Data Relaying in Ultra Dense Networks using Rateless Codes
We investigate the problem of delay-efficient and reliable data delivery...
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07/25/2020
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks
Device-to-device (D2D) communications is expected to be a critical enabl...
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02/27/2020
Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing
In this paper, we study the distributed computational capabilities of de...
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12/22/2019
Energy-Aware Multi-Server Mobile Edge Computing: A Deep Reinforcement Learning Approach
We investigate the problem of computation offloading in a mobile edge co...
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01/04/2019
Integrating Sub-6 GHz and Millimeter Wave to Combat Blockage: Delay-Optimal Scheduling
Millimeter wave (mmWave) technologies have the potential to achieve very...
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12/03/2017