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A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network
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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 ...
Bayesian Beamforming for Mobile Millimeter Wave Channel Tracking in the Presence of DOA Uncertainty
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This paper proposes a Bayesian approach for angle-based hybrid beamforming and tracking that is robust to uncertain or erroneous direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple ...
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Wireless network communication has developed rapidly in recent years, especially in the field of Internet of vehicles (IoV). However, due to the limitations of traditional network architecture, resource scheduling in ...
A co-design-based reliable low-latency and energy-efficient transmission protocol for uwsns
(
MDPI AG
, 2020 , Article)
Recently, underwater wireless sensor networks (UWSNs) have been considered as a powerful technique for many applications. However, acoustic communications in UWSNs bring in huge QoS issues for time-critical applications. ...
An intelligent data uploading selection mechanism for offloading uplink traffic of cellular networks
(
MDPI AG
, 2020 , Article)
Wi-Fi uploading is considered an effective method for offloading the traffic of cellular networks generated by the data uploading process of mobile crowd sensing applications. However, previously proposed Wi-Fi uploading ...
Efficient and fair Wi-Fi and LTE-U coexistence via communications over content centric networking
(
Elsevier B.V.
, 2020 , Article)
With the increasingly huge mobile traffic, numerous mobile operators try to seek some ways to alleviate the situation, such as expanding the LTE (Long Term Evolution) system into unlicensed spectrums. However, LTE-U (LTE ...
An adaptive network coding scheme for multipath transmission in cellular-based vehicular networks
(
MDPI AG
, 2020 , Article)
With the emergence of vehicular Internet-of-Things (IoT) applications, it is a significant challenge for vehicular IoT systems to obtain higher throughput in vehicle-to-cloud multipath transmission. Network Coding (NC) has ...
IoT malicious traffic identification using wrapper-based feature selection mechanisms
(
Elsevier Ltd
, 2020 , Article)
Machine Learning (ML) plays very significant role in the Internet of Things (IoT) cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms are widely applied for IoT traffic identification ...