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

• 2022

  Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems

  Chen, X., Wu, C., Chen, T., Liu, Z., Zhang, H., Bennis, M., Liu, H. & Ji, Y., 1 Jan 2022, In: IEEE Journal on Selected Areas in Communications. 40, 1, p. 243-258 16 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • User 100%
  • Infrastructure Provider 33%
  • Learning Scheme 33%
  • Deep Reinforcement Learning 33%
  • Simulation Mode 16%
  12 Citations (Scopus)

• Nonlinear Online Incentive Mechanism Design in Edge Computing Systems with Energy Budget

  Li, G., Cai, J., Chen, X. & Su, Z., 2022, (Accepted/In press) In: IEEE Transactions on Mobile Computing.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Incentive Mechanism 100%
  • Mechanism Design 66%
  • Design Problem 50%
  • Cloud Computing 50%
  • Computation 33%
• 2021

  A Routing Protocol for UAV-assisted Vehicular Delay Tolerant Networks

  Du, Z., Wu, C., Yoshinaga, T., Chen, X., Wang, X., Yau, K-L. A. & Ji, Y., 2021, In: IEEE Open Journal of the Computer Society. 2, p. 85-98 14 p., 9336218.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Unmanned Aerial Vehicle 100%
  • Delay Tolerant Networks 100%
  • Routing Protocol 60%
  • Connection Time 40%
  • Simulation 40%
  14 Citations (Scopus)

• Computation Offloading in beyond 5G Networks: A Distributed Learning Framework and Applications

  Chen, X., Wu, C., Liu, Z., Zhang, N. & Ji, Y., Apr 2021, In: IEEE Wireless Communications. 28, 2, p. 56-62 7 p., 9430908.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Computation Offloading 100%
  • Distance Education 75%
  • Learning Framework 75%
  • Learning Algorithm 50%
  • Multi-Access Edge Computing 50%
  41 Citations (Scopus)

• Decentralized Radio Resource Adaptation in D2D-U Networks

  Yin, R., Wu, Z., Liu, S., Wu, C., Yuan, J. & Chen, X., 15 Apr 2021, In: IEEE Internet of Things Journal. 8, 8, p. 6720-6732

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Channels 100%
  • Power Consumption 60%
  • Networks 40%
  • Channel Interference 20%
  • Device-To-Device 20%
  12 Citations (Scopus)

• Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning

  Ale, L., Zhang, N., Fang, X., Chen, X., Wu, S. & Li, L., Sept 2021, In: IEEE Transactions on Cognitive Communications and Networking. 7, 3, p. 881-892

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Multi-Access Edge Computing 100%
  • Internet of Things Device 75%
  • Edge Server 50%
  • Computation Offloading 50%
  • Deep Reinforcement Learning 50%
  48 Citations (Scopus)

• Distributed Spectrum and Power Allocation for D2D-U Networks: a Scheme Based on NN and Federated Learning

  Yin, R., Zou, Z., Wu, C., Yuan, J. & Chen, X., Oct 2021, In: Mobile Networks and Applications. 26, 5, p. 2000-2013 14 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Federated Learning 100%
  • Networks 100%
  • Links 100%
  • Device-To-Device Communication 50%
  • And-States 50%
  7 Citations (Scopus)

• DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV

  Zhou, P., Chen, X., Liu, Z., Braud, T., Hui, P. & Kangasharju, J., Apr 2021, In: IEEE Transactions on Intelligent Transportation Systems. 22, 4, p. 2262-2273

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Internet 100%
  • Control 100%
  • Edge Server 28%
  • Reinforcement Learning 28%
  • Networks 28%
  15 Citations (Scopus)

• Multi-Channel Blockchain Scheme for Internet of Vehicles

  Gao, L., Wu, C., Yoshinaga, T., Chen, X. & Ji, Y., 2 Apr 2021, In: IEEE Open Journal of the Computer Society. 2, p. 192-203 12 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Blockchain 100%
  • Channels 83%
  • Vehicle Density 66%
  • Internet 33%
  • Application Requirement 33%
  12 Citations (Scopus)

• Point Cloud Video Streaming: Challenges and Solutions

  Liu, Z., Li, Q., Chen, X., Wu, C., Ishihara, S., Li, J. & Ji, Y., 1 Sept 2021, In: IEEE Network. 35, 5, p. 202-209 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Point Cloud 100%
  • Video Streaming 83%
  • Quality Assessment 16%
  • Optimization 16%
  • Use Case 16%
  15 Citations (Scopus)

• Wireless Access Control in Edge-Aided Disaster Response: A Deep Reinforcement Learning-based Approach

  Zhou, H., Wang, X., Umehira, M., Chen, X., Wu, C. & Ji, Y., 2021, In: IEEE Access. 9, p. 46600-46611

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

  • Access Control 100%
  • Wireless Access 100%
  • Networks 75%
  • Disaster Response 50%
  • Simulation Mode 25%
  11 Citations (Scopus)

  16 Downloads (Pure)
• 2020

  Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

  Chen, X., Wu, C., Chen, T., Zhang, H., Liu, Z., Zhang, Y. & Bennis, M., Apr 2020, In: IEEE Transactions on Wireless Communications. 19, 4, p. 2268-2281 14 p., 8954939.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Vehicles 100%
  • Consumers 71%
  • User 71%
  • Algorithms 42%
  • State 42%
  86 Citations (Scopus)

• Edge-Based V2X communications with big data intelligence

  Guleng, S., Wu, C., Liu, Z. & Chen, X., 1 Jan 2020, In: IEEE Access. 8, p. 8603-8613 11 p., 8951087.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Big Data 100%
  • Vehicular Network 66%
  • Communication 66%
  • Contexts 66%
  • Forwarding 66%
  15 Citations (Scopus)

• Edge-Facilitated Augmented Vision in Vehicle-to-Everything Networks

  Zhou, P., Braud, T., Zavodovski, A., Liu, Z., Chen, X., Hui, P. & Kangasharju, J., Oct 2020, In: IEEE Transactions on Vehicular Technology. 69, 10, p. 12187-12201 9163287.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Algorithms 100%
  • Networks 100%
  • Scalability 50%
  • Real World 50%
  • Practical Application 50%
  15 Citations (Scopus)

• Fuzzy Logic-Based Adaptive Point Cloud Video Streaming

  Liu, Z., Li, J., Chen, X., Wu, C., Ishihara, S., Ji, Y. & Li, J., 1 Jul 2020, In: IEEE Open Journal of the Computer Society. 1, p. 121-130 10 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Point Cloud 100%
  • Fuzzy Logic 50%
  • Video Streaming 50%
  • User 25%
  • Quality Requirement 12%
  8 Citations (Scopus)

• GAN-powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

  Hua, Y., Li, R., Zhao, Z., Chen, X. & Zhang, H., Feb 2020, In: IEEE Journal on Selected Areas in Communications. 38, 2, p. 334-349 16 p., 8931561.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Generative Adversarial Networks 100%
  • Networks 80%
  • Network Slicing 60%
  • Service 40%
  • Resource Management 20%
  79 Citations (Scopus)
• 2019

  Deep Learning with Long Short-Term Memory for Time Series Prediction

  Hua, Y., Zhao, Z., Li, R., Chen, X., Liu, Z. & Zhang, H., 1 Jun 2019, In: IEEE Communications Magazine. 57, 6, p. 114-119 6 p., 8663965.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Long Short-Term Memory Network 100%
  • Series Prediction 28%
  • Computing 28%
  • Deep Learning 28%
  • Simulation Mode 14%
  205 Citations (Scopus)

• Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective

  Chen, X., Wu, C., Bennis, M., Zhao, Z. & Han, Z., 1 May 2019, In: IEEE Transactions on Vehicular Technology. 68, 5, p. 4262-4274 13 p., 8674536.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • User 100%
  • State Space 66%
  • Telecommunication Network 33%
  • Optimal Solution 33%
  • Network Dynamic 33%
  10 Citations (Scopus)

• Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach

  Chen, X., Zhao, Z., Wu, C., Bennis, M., Liu, H., Ji, Y. & Zhang, H., 2019, In: IEEE Journal on Selected Areas in Communications. 37, 10, p. 2377-2392 16 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Provider Service 100%
  • User 42%
  • Channels 42%
  • Decision-Making 28%
  • Computation 28%
  73 Citations (Scopus)

• Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning

  Chen, X., Zhang, H., Wu, C., Mao, S., Ji, Y. & Bennis, M., 1 Jun 2019, In: IEEE Internet of Things Journal. 6, 3, p. 4005-4018 8493155.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Computation Offloading 100%
  • Multi-Access Edge Computing 71%
  • Mobile Device 28%
  • Computation 28%
  • Radio Access Network 28%
  360 Citations (Scopus)

• Wireless Edge Computing With Latency and Reliability Guarantees

  Elbamby, M. S., Perfecto, C., Liu, C. F., Park, J., Samarakoon, S., Chen, X. & Bennis, M., Aug 2019, In: Proceedings of the IEEE. 107, 8, p. 1717-1737

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Cloud Computing 100%
  • Networks 80%
  • Service 40%
  • Application 40%
  • Decision-Making 20%
  73 Citations (Scopus)