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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 28 Similar Profiles
Base stations Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Vehicular ad hoc networks Engineering & Materials Science
Energy efficiency Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Controllers Engineering & Materials Science
Quality of service Engineering & Materials Science
Cognitive radio Engineering & Materials Science

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Research Output 2010 2019

Decentralized Trust Evaluation in Vehicular Internet of Things

Guleng, S., Wu, C., Chen, X., Wang, X., Yoshinaga, T. & Ji, Y., 17 Jan 2019, In : IEEE Access. 7, p. 15980-15988 9 p., 8616885.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Vehicular ad hoc networks
Reinforcement learning
Fuzzy logic
Communication
Internet of things

Learning to Schedule Resources in Software-Defined Radio Access Networks

Chen, X., 21 Feb 2019, 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings. 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Controllers
Base stations
Computational complexity
Quality of service
Scheduling
2 Citations (Scopus)

Near-Optimal Data Structure for Approximate Range Emptiness Problem in Information-Centric Internet of Things

Wang, X., Liu, Z., Gao, Y., Zheng, X., Chen, X. & Wu, C., 4 Feb 2019, In : IEEE Access. 7, p. 21857-21869 13 p., 8633895.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
Data structures
Data storage equipment
Query processing
Internet of things
Sensors

Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

Chen, X., Zhang, H., Wu, C., Mao, S., Ji, Y. & Bennis, M., 15 Apr 2019, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Institute of Electrical and Electronic Engineers IEEE, 8690980. (IEEE Vehicular Technology Conference; vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Performance Optimization
Reinforcement learning
Reinforcement Learning
Computing
Mobile devices

Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory

Hua, Y., Zhao, Z., Liu, Z., Chen, X., Li, R. & Zhang, H., 15 Apr 2019, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Institute of Electrical and Electronic Engineers IEEE, 8690851. (IEEE Vehicular Technology Conference; vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Memory Term
Connectivity
Traffic
Prediction
Baseline