Mission-Critical Internet of Things Applications over Fog Networks

Research output

Research output per year 2019 2019 2020 2021 2022

• 21 Article
• 12 Conference article in proceedings

Research output per year

Research output per year

Search results

• 2021

  A Deep Reinforcement Learning Approach for Point Cloud Video Transmissions

  Lin, H., Zhang, B., Cao, Y., Liu, Z. & Chen, X., Sept 2021, 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings. IEEE Institute of Electrical and Electronic Engineers, p. 1-5

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Quality-of-Experience 100%
  • Point Cloud 100%
  • Learning Approach 66%
  • Deep Reinforcement Learning 66%
  • Academia 33%
  2 Citations (Scopus)

• Age of Information-Aware Resource Management in UAV-Assisted Mobile-Edge Computing Systems

  Chen, X., Wu, C., Chen, T., Liu, Z., Bennis, M. & Ji, Y., 25 Jan 2021, 2020 IEEE Global Communications Conference, GLOBECOM 2020: Proceedings. IEEE Institute of Electrical and Electronic Engineers, 9322632. (Globecom).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • User 100%
  • Computation 50%
  • Unmanned Aerial Vehicle 50%
  • Learning Scheme 50%
  • Deep Reinforcement Learning 50%
  7 Citations (Scopus)

• Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

  Wu, Z., Yuan, J., Yin, R., Chen, X. & Wu, C., Sept 2021, 2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings. IEEE Institute of Electrical and Electronic Engineers, p. 1-5

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Energy Efficiency 100%
  • Networks 66%
  • Channel Interference 33%
  • Device-To-Device 33%
  • Spectrum Allocation 33%

• Multi-Beam Power Allocation in Dynamic Massive MIMO Cloud Radio Access Networks

  Dinh, S., Liu, H., Chen, X. & Ouyang, F., Jun 2021, ICC 2021 - IEEE International Conference on Communications, Proceedings. IEEE Institute of Electrical and Electronic Engineers

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Radio Access Network 100%
  • Massive MIMO 80%
  • Power Allocation 80%
  • Access Link 60%
  • Waves 60%
• 2020

  An Oblivious Game-Theoretic Perspective of RRM in Vehicular Communications

  Chen, X. & Wu, C., 9 Nov 2020, 2020 IEEE/CIC International Conference on Communications in China, ICCC 2020. IEEE Institute of Electrical and Electronic Engineers, p. 85-89 9238926. ( IEEE International Conference on Communications in China (ICCC)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Stochastic Game 100%
  • Equilibrium 75%
  • Vehicles 75%
  • Vehicle 75%
  • Consumers 50%

• DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning

  Sun, P., Lan, J., Guo, Z., Zhang, D., Chen, X., Hu, Y. & Liu, Z., Jun 2020, 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, (IEEE International Conference on Communications, Vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Networking Function 100%
  • Deep Reinforcement Learning 50%
  • Network Function Virtualization 33%
  • Quality of Service 33%
  • Network Service 33%
  8 Citations (Scopus)

• Deep Reinforcement Learning based Access Control for Disaster Response Networks

  Zhou, H., Wang, X., Umehira, M., Chen, X., Wu, C. & Ji, Y., Dec 2020, 2020 IEEE Global Communications Conference, GLOBECOM 2020: Proceedings. IEEE Institute of Electrical and Electronic Engineers, 6 p. 9322553. (Globecom).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Networks 100%
  • Access Control 66%
  • Deep Reinforcement Learning 66%
  • Disaster Response 66%
  • Packet Delay 33%
  1 Citation (Scopus)

• Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems

  Chen, X., Chen, T., Zhao, Z., Zhang, H., Bennis, M. & Ji, Y., 2020, 2020 IEEE 91st Vehicular Technology Conference (VTC Spring 2020). IEEE Institute of Electrical and Electronic Engineers, 6 p. (IEEE Vehicular Technology Conference, Vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • User 100%
  • Unmanned Aerial Vehicle 71%
  • Multi-Access Edge Computing 71%
  • Computation 57%
  • Decision-Making 14%
  12 Citations (Scopus)
• 2019

  Age of information-aware multi-tenant resource orchestration in network slicing

  Chen, X., Wu, C., Chen, T., Wu, N., Zhang, H. & Ji, Y., Aug 2019, Proceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019. IEEE Institute of Electrical and Electronic Engineers, p. 1001-1007 7 p. 8890362

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Radio Access Network 100%
  • Network Slicing 100%
  • User 100%
  • Service 100%
  • Decision-Making 50%
  1 Citation (Scopus)

• Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications

  Chen, X., Wu, C., Zhang, H., Zhang, Y., Bennis, M. & Vuojala, H., 2019, 2019 IEEE International Conference on Communications, ICC 2019. IEEE Institute of Electrical and Electronic Engineers, 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Vehicles 100%
  • Consumers 80%
  • User 80%
  • Algorithms 60%
  • State 60%
  4 Citations (Scopus)

• GAN-based deep distributional reinforcement learning for resource management in network slicing

  Hua, Y., Li, R., Zhao, Z., Zhang, H. & Chen, X., Dec 2019, 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 9014217. (IEEE Global Communications Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • Generative Adversarial Networks 100%
  • Network Slicing 75%
  • Quality-of-Experience 25%
  • Algorithms 25%
  • Resource Management 25%
  10 Citations (Scopus)

• Secrecy preserving in stochastic resource orchestration for multi-tenancy network slicing

  Chen, X., Zhao, Z., Wu, C., Chen, T., Zhang, H. & Bennis, M., Dec 2019, 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 9013746

  Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

  • User 100%
  • Radio Access Network 75%
  • Network Slicing 50%
  • Scheduling 50%
  • Channels 50%