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A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
(
MDPI
, 2020 , Article)
Cognitive radio (CR) is a critical technique to solve the conflict between the explosive growth of traffic and severe spectrum scarcity. Reasonable radio resource allocation with CR can effectively achieve spectrum sharing ...
RL-OPRA: Reinforcement Learning for Online and Proactive Resource Allocation of crowdsourced live videos
(
Elsevier
, 2020 , Article)
© 2020 Elsevier B.V. With the advancement of rich media generating devices, the proliferation of live Content Providers (CP), and the availability of convenient internet access, crowdsourced live streaming services have ...
An incentive mechanism for data sharing based on blockchain with smart contracts
(
Elsevier
, 2020 , Article)
© 2020 Data sharing techniques have progressively drawn increasing attention as a means of significantly reducing repetitive work. However, in the process of data sharing, the challenges regarding formation of mutual-trust ...
Dynamic Distributed Multi-Path Aided Load Balancing for Optical Data Center Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Benefiting from dense connections in data center networks (DCNs), load balancing algorithms are capable of steering traffic into multiple paths for the sake of preventing traffic congestion. However, given each path's ...
Scratch-Rec: a novel Scratch recommendation approach adapting user preference and programming skill for enhancing learning to program
(
Springer
, 2022 , Article)
Among teenagers, online programming learning platforms, such as Scratch, have obtained promising achievements for guiding beginners. However, with the ever-growing number of users, there is an urgent issue that learners ...
A Secure Energy Efficient Scheme for Cooperative IoT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
A secure energy efficient approach is proposed to connect Internet of Things (IoT) sensors that operate with limited power resources. This is done by optimizing simultaneously the energy efficiency, the communication rate ...
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ...
Enabling Efficient Scheduling in Large-Scale UAV-Assisted Mobile-Edge Computing via Hierarchical Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Due to the high maneuverability and flexibility, unmanned aerial vehicles (UAVs) have been considered as a promising paradigm to assist mobile edge computing (MEC) in many scenarios including disaster rescue and field ...
Personalized Content Sharing via Mobile Crowdsensing
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Personalized content sharing will inevitably become one of the core applications of mobile Internet of Things. However, the existing strategies for content sharing are far from effective content personalization, since they ...
Cognitive Balance for Fog Computing Resource in Internet of Things: An Edge Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Currently, the highly dynamic fog computing resource requirements introduced by the diverse services of the Internet of Things (IoT) result in an imbalance between computing resource providers and consumers. However, current ...