Lingjie Duan

Assistant Professor

Research Interests:

  • Network Economics and Game Theory (Click to understand more)
  • Resource Allocation and Network Optimisation
  • Cognitive Communications and Cooperative Networking
  • Energy Harvesting and Wireless Power Transfer
  • Wireless and Network Security

Pillar / Cluster: Engineering Systems and Design

 

 

  • Mobile Crowdsourcing

  •  Y.P. Hsu and L. Duan, “To motivate social grouping in wireless networks,” IEEE Transactions on Wireless Communications, forthcoming. [Online]. Available: http://arxiv.org/abs/1511.01795
  • F. Gu, J. Niu, and L. Duan, “WAIPO: A fusion-based collaborative indoor localization system on smartphones,” IEEE/ACM Transactions on Networking, forthcoming.
  • C. Jiang, L. Gao, L. Duan, and J. Huang, “Scalable Mobile Crowdsensing via Peer-to-Peer Data Sharing,” IEEE Transactions on Mobile Computing, forthcoming. [Online]. Available: https://arxiv.org/abs/1705.05343
  • Y. Chen, L. Duan, and Q. Zhang, “Financial analysis of 4G network deployment,” IEEE Transactions on Vehicular Technology, forthcoming.
  • Y. Li, C. Courcoubetis, and L. Duan, “Dynamic routing for social information sharing,” IEEE Journal on Selected Areas in Communications, forthcoming. [Online]. Available: https://arxiv.org/abs/1608.03397 You can also find [Slide Online].
  • X. Wang, L. Duan, and R. Zhang, “User-initiated data plan trading via a personal hotspot market,” IEEE Transactions on Wireless Communications, forthcoming. [Online].
  • L. Duan, L. Huang, C. Langbort, A. Pozdnukhov, J. Walrand, and L. Zhang, “(Editorial)Human-in-the-loop mobile networks: A survey of recent advancements,” IEEE Journal on Selected Areas in Communications, forthcoming.
  • Y. Guo, L. Duan, and R. Zhang, “Cooperative local caching under heterogeneous file preferences,” IEEE Transactions on Communications, forthcoming. [Online]. Available: http://arxiv.org/abs/1510.04516
  • Y.-P. Hsu, E. Modiano, and L. Duan, “Age of Information: Design and Analysis of Optimal Scheduling Algorithms,” to appear in ISIT 2017.
  • X. Gong, L. Duan, X. Chen, and J. Zhang, “When social network effect meets congestion effect in wireless networks: Data usage equilibrium and optimal pricing,” IEEE Journal on Selected Areas in Communications, forthcoming. [Online].
  • H. Lee, L. Duan, and Y. Yi, “On the competition of CDN companies: Impact of new telco-CDNs’ federation,” in Proc. IEEE WiOpt 2016 Conference.
  • Y. Guo, L. Duan, and R. Zhang, “Optimal pricing and load sharing for energy saving with communications cooperation,” IEEE Transactions on Wireless Communications (TWC), vol. 15, no. 2, pp. 951-964, 2016. [Online]. http://arxiv.org/pdf/1409.8402.pdf
  • X. Gong, L. Duan, and X. Chen, “When network effect meets congestion effect: Leveraging social services for wireless service,” in Proc. of ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc’15), 2015. [Acceptance rate: 14.8%]
  • L. Duan, J. Huang, and B. Shou, “Pricing for local and global WiFi markets,” IEEE Transactions on Mobile Computing, vol. 14, no. 5, pp. 1056-1070, 2015. [Online]. Available: http://arxiv.org/abs/1407.4355
  • L. Duan, T. Kubo, K. Sugiyama, J. Huang, T. Hasegawa, and J. Walrand, “Motivating smartphone collaboration in data acquisition and distributed computing,” IEEE Transactions on Mobile Computing, vol. 13, no. 10, pp. 2320-2333, Oct. 2014.
  • L. Duan, J. Huang, and B. Shou, “Optimal pricing for local and global WiFi markets,” accepted by Proc. of The 32nd IEEE International Conference on Computer Communications (INFOCOM’13). [Acceptance Rate: 17%].
  • L. Duan, J. Huang, and J. Walrand, “Economic analysis of 4G network upgrade,” accepted by Proc. of The 32nd IEEE International Conference on Computer Communications (INFOCOM’13). [Acceptance Rate: 17%]. This work was presented as an invited talk at 2012 IEEE Communication Theory Workshop (CTW).
  • L. Duan, T. Kubo, K. Sugiyama, J. Huang, T. Hasegawa, and J. Walrand, “Incentive mechanisms for smartphone collaboration in data acquisition and distributed computing,” in Proc. of the 31st IEEE International Conference on Computer Communications (INFOCOM’12), Orlando, Florida, US, Mar. 2012. [Acceptance Rate: 17.9%].

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