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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 ...
Access Control Schemes for Implantable Medical Devices: A Survey
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Article)
Implantable medical devices (IMDs) are electronic devices implanted within human body for diagnostic, monitoring, and therapeutic purposes. It is imperative to guarantee that IMDs are completely secured since the patient's ...
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 ...
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
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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
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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 ...
Automatic Concept Extraction Based on Semantic Graphs From Big Data in Smart City
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
With the rapid development of smart cities, various types of sensors can rapidly collect a large amount of data, and it becomes increasingly important to discover effective knowledge and process information from massive ...
A Course-Aware Opportunistic Routing Protocol for FANETs
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In recent years, unmanned aerial vehicles (UAVs) have gained popularity in various applications and services in both the military and civilian domains. Compared with the single-UAV scenario, flying ad hoc networks (FANETs) ...
Lightweight and Privacy-Preserving Medical Services Access for Healthcare Cloud
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
With the popularity of cloud computing technology, the healthcare cloud system is becoming increasingly perfect, which reduces the time of disease diagnosis and brings great convenience to people's lives. But meanwhile, ...
Channel Measurement and Resource Allocation Scheme for Dual-Band Airborne Access Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The aerial base stations (ABSs) can be quickly deployed to provide emergency communications and airborne network infrastructures. How to ensure wide coverage, reliable links, and high throughput for ground users under the ...