Research Output per year
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
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 journal › Article › Scientific › peer-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 proceeding › Conference article in proceedings › Scientific › peer-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 journal › Article › Scientific › peer-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 proceeding › Conference article in proceedings › Scientific › peer-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 proceeding › Conference article in proceedings › Scientific › peer-review
Memory Term
Connectivity
Traffic
Prediction
Baseline