Tian Dang

Orcid: 0000-0002-9589-6967

According to our database1, Tian Dang authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Low-Latency Mobile Virtual Reality Content Delivery for Unmanned Aerial Vehicle-Enabled Wireless Networks With Energy Constraints.
IEEE Trans. Veh. Technol., February, 2023

2022
Joint uplink and downlink resource allocation for low-latency mobile virtual reality delivery in fog radio access networks.
Frontiers Inf. Technol. Electron. Eng., 2022

Virtual Reality Streaming in Blockchain-Enabled Fog Radio Access Networks.
IEEE Internet Things J., 2022

2020
Learning Based Joint Cache and Power Allocation in Fog Radio Access Networks.
IEEE Trans. Veh. Technol., 2020

Deep reinforcement learning based computation offloading and resource allocation for low-latency fog radio access networks.
Intell. Converged Networks, 2020

2019
Joint Radio Communication, Caching, and Computing Design for Mobile Virtual Reality Delivery in Fog Radio Access Networks.
IEEE J. Sel. Areas Commun., 2019

Joint Bandwidth, Caching, and Computing Resource Allocation for Mobile VR Delivery in F-RANs.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Delay-Aware Resource Allocation for Network Slicing in Fog Radio Access Networks.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Delay-Aware Radio Resource Allocation Optimization for Network Slicing in Fog Radio Access Networks.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017
Cost-Efficient Resource Allocation in Cloud Radio Access Networks With Heterogeneous Fronthaul Expenditures.
IEEE Trans. Wirel. Commun., 2017

Energy-efficient resource allocation in delay-aware wireless virtualized networks.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017


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