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User Provided Networks


The increasing mobile data demand and the proliferation of advanced handheld devices place the user-provided networks (UPNs) at a conspicuous position in next-generation network architectures. There has been growing consensus that UPNs can play a crucial role both in self-organizing and in operator-controlled wireless networks, as they enable the exploitation of the diverse communication needs and resources of different users. However, in UPNs both the availability and the demand for Internet access depend on mobile devices, and therefore the success of such networks relies on active user participation.

In this project, we will focus on designing incentive mechanisms for encouraging user engagement in user-provided networks. Motivated by recently launched business models, we focus on mobile UPNs where the energy consumption and data usage costs are critical and have a large impact on users’ decisions both for requesting and offering UPN services.




Project Team

NCEL Members: Lin Gao,  Jianwei Huang, Qian Ma, and Ming Tang
Collaborators: George Iosifidis (Yale University), Yafeng Liu (Chinese Academy of Science), Lifeng Sun (Tsinghua University), Leandros Tassiula (Yale University)


In Press
Ma, Qian, et al. "Incentivizing Wi-Fi Network Crowdsourcing: A Contract Theoretic Approach." IEEE/ACM Transactions on Networking (In Press). Download: 08350371.pdf (2.08 MB)
Gao, Lin, et al. "Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design." IEEE Transactions on Mobile Computing (In Press). Download: 08356092.pdf (1.66 MB)
Zhang, Meng, et al. Cooperative and Competitive Operator Pricing for Mobile Crowdsourced Internet Access. IEEE International Conference on Computer Communications (INFOCOM). Atlanta, USA, 2017. Download: Meng_INFOCOM17.pdf (272.38 KB)
Ma, Qian, et al. "Economic Analysis of Crowdsourced Wireless Community Networks." IEEE Transactions on Mobile Computing. 16.7 (2017): 1856-1869. Download: 07562462.pdf (461.12 KB)
Iosifidis, George, et al. "Efficient and Fair Collaborative Mobile Internet Access." IEEE/ACM Transactions on Networking. 25.3 (2017): 1386-1400. Download: 07835266.pdf (3.13 MB)
Tang, Ming, et al. MOMD: A Multi-Object Multi-Dimensional Auction for Crowdsourced Mobile Video Streaming. IEEE International Conference on Computer Communications (INFOCOM). Atlanta, USA, 2017. Download: Ming_INFOCOM17.pdf (671.85 KB)
Tang, Ming, et al. "Optimizations and Economics of Crowdsourced Mobile Streaming." IEEE Communications Magazine. 55.4 (2017): 21-27. Download: 07901471.pdf (521.82 KB)
Ma, Qian, et al. A Contract-Based Incentive Mechanism for Crowdsourced Wireless Community Networks. International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt). Tempe, AZ, USA, 2016. Download: p414-ma.pdf (285.32 KB)
Tang, Ming, et al. A Multi-Dimensional Auction Mechanism for Mobile Crowdsourced Video Streaming. International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt). Tempe, AZ, USA, 2016. Download: p398-tang.pdf (247.87 KB)
Gao, Lin, et al. Performance bound analysis for crowdsourced mobile video streaming. Annual Conference on Information Science and Systems (CISS). Princeton, NJ, USA, 2016. Download: Gao_CISS2016.pdf (341.52 KB)
Ma, Qian, et al. A Game-Theoretic Analysis of User Behaviors in Crowdsourced Wireless Community Networks. IEEE WiOpt (Best Student Paper Award). Mumbai, India, 2015. Download: FON_WiOpt2015.pdf (1022.8 KB)
Khalili, Mohammad Mahdi, et al. Incentive Design and Market Evolution of Mobile User-Provided Networks. IEEE INFOCOM Smart Data Pricing Workshop. Hong Kong, 2015. Download: SDP2015_Gao.pdf (536.42 KB)
Iosifidis, George, et al. "Incentive Mechanisms for User-Provided Networks." IEEE Communications Magazine. 52.9 (2014): 20-27. Download: UCNComMagazine.pdf (736.77 KB)
Iosifidis, George, et al. Enabling Crowd-Sourced Mobile Internet Access. IEEE INFOCOM. Toronto, Canada, 2014. Download: CrowdSourcingConnectivity-INFOCOM2014.pdf (690.31 KB)
Gao, Lin, et al. Hybrid Data Pricing for Network-Assisted User-Provided Connectivity. IEEE INFOCOM. Toronto, Canada, 2014. Download: SocialBandwidth_INFOCOM2014.pdf (831.72 KB)







story | by Dr. Radut