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A Survey on Energy Harvesting and Integrated Data Sharing in Wireless Body Area Networks
(
SAGE publications
, 2015 , Article)
Wireless body area networks (WBANs) are important branches of wireless sensor networks (WSNs). They promise unobtrusive ambulatory health monitoring for real-time updates of patients' medical records that have aroused ...
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 ...
Secure and Reliable Resource Allocation and Caching in Aerial-Terrestrial Cloud Networks (ATCNs)
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Aerial-terrestrial cloud networks (ATCNs), global integration of air and ground communication systems, pave a way for a large set of applications such as surveillance, on-demand transmissions, data-acquisition, and navigation. ...
Answer Acquisition for Knowledge Base Question Answering Systems Based on Dynamic Memory Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In recent years, with the rapid growth of Artificial Intelligence (AI) and the Internet of Things (IoT), the question answering systems for human-machine interaction based on deep learning have become a research hotspot ...
Blockchain-Based Distributed Energy Trading in Energy Internet: An SDN Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The new network paradigm of Software Defined Networking (SDN) has been widely adopted. Due to its inherent advantages, SDN has been widely used in various network fields such as data centers, WAN, enterprise, Optical ...
Dual-polarized spatial-temporal propagation measurement and modeling in uma o2i scenario at 3.5 GHz
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Outdoor-to-indoor (O2I) coverage in urban areas by using the sub-6 GHz (sub-6G) band is important in the fifth generation (5G) mobile communication system. The spatial-temporal propagation characteristics in different ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
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 ...