Radio resource management in joint radar and communication: A comprehensive survey

NC Luong, X Lu, DT Hoang, D Niyato… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Joint radar and communication (JRC) has recently attracted substantial attention. The first
reason is that JRC allows individual radar and communication systems to share spectrum …

A survey of energy-efficient techniques for 5G networks and challenges ahead

S Buzzi, I Chih-Lin, TE Klein, HV Poor… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
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 …

Distributed task scheduling in serverless edge computing networks for the internet of things: A learning approach

Q Tang, R Xie, FR Yu, T Chen, R Zhang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
By delegating the infrastructure management, such as provisioning or scaling to third-party
providers, serverless edge computing has recently been widely adopted in several …

Ambient backscatter: A new approach to improve network performance for RF-powered cognitive radio networks

DT Hoang, D Niyato, P Wang, DI Kim… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper introduces a new solution to improve the performance for secondary systems in
radio frequency (RF) powered cognitive radio networks (CRNs). In a conventional RF …

Cognitive radio networks with energy harvesting

S Park, H Kim, D Hong - IEEE Transactions on Wireless …, 2013 - ieeexplore.ieee.org
We consider a cognitive radio network with an energy-harvesting secondary transmitter to
improve both energy efficiency and spectral efficiency. The goal of this paper is to determine …

Dynamic energy scheduling and routing of a large fleet of electric vehicles using multi-agent reinforcement learning

M Alqahtani, MJ Scott, M Hu - Computers & Industrial Engineering, 2022 - Elsevier
As the world's population and economy grow, demand for energy increases as well. Smart
grids can be a cost-effective solution to overcome increases in energy demand and ensure …

Decentralized computation offloading in IoT fog computing system with energy harvesting: A Dec-POMDP approach

Q Tang, R Xie, FR Yu, T Huang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, fog computing has emerged as a prospective technique to provide pervasive and
agile computation services for Internet-of-Things (IoT) devices and support advanced …

Spatial throughput of mobile ad hoc networks powered by energy harvesting

K Huang - IEEE Transactions on Information Theory, 2013 - ieeexplore.ieee.org
Designing mobiles to harvest ambient energy such as kinetic activities or electromagnetic
radiation will enable wireless networks to be self-sustaining. In this paper, the spatial …

Resource allocation of fog radio access network based on deep reinforcement learning

J Tan, W Guan - Engineering Reports, 2022 - Wiley Online Library
With the development of energy harvesting technologies and smart grid, the future trend of
radio access networks will present a multi‐source power supply. In this article, joint …

Optimal time sharing in RF-powered backscatter cognitive radio networks

DT Hoang, D Niyato, P Wang… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
In this paper, we propose a novel network model for RF-powered cognitive radio networks
and ambient backscatter communications. In the network under consideration, each …