Research: Network Economics

My research focus lies on the network economics. I mainly do active research in Game Theory and Mechanism Design with application domains in networking and crowdsourcing.

Statistical Learning and Game Theory for Crowdsourcing

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Crowdsourcing is a multi-agent task allocation paradigm that is increasingly becoming a major tool for organizations (businesses or government agencies) to manage large data sets and to create new products by tasking hundreds or millions of workers online with different types of tasks. Within these systems, a principal allocates different tasks to a group of workers chosen from a large population. However, the data obtained via crowdsourcing is typically highly erroneous due to the lack of expertise of workers and lack of appropriate incentives. First, given that workers may come from different countries (e.g., China, India, UK, US) and with different skills, the quality of their work may vary significantly. For example, native English speakers will likely perform better at correcting spelling mistakes; similarly, experienced graphic designers will do a better job at designing a logo compared to non-experts. Second, different workers will likely react differently to the amount of money paid per task, making it difficult to determine the budget needed to guarantee good task performance. It is therefore very important for the crowdsourcing platform to have an appropriate incentive mechanism to exploit the heterogeneity of workers and to motivate them to participate and to exert proper effort levels. Our research mainly aims at designing an appropriate incentive mechanism for crowdsourcing to exploit the heterogeneity of workers and incentivize appropriate effort levels from them so that the performance of crowdsourcing can be improved.

  • Publications:

  1. Yuan Luo, Nihar Shah, Jianwei Huang, and Jean Walrand "Parametric Prediction from Parametric Agents," ACM NetEcon 2015(in conjunction with ACM SIGMETRICS 2015 and ACM EC 2015), Portland, USA, 2015. [PDF]

  2. Yuan Luo, Nihar B. Shah, Jianwei Huang, Jean Walrand, "Parametric Prediction from Parametric Agents," Operations Research (A+ Journal in OR & MS), Articles in Advance, pp. primary_article. [PDF]

  3. Yuan Luo and Nick Jennings "A Differential Privacy Mechanism with Network Effects for Crowdsourcing Systems," Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), accepted, 2018.

TV White Space Ecosystem

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With the explosive growth of mobile smartphones and bandwidth-hunger wireless application, TV white space has been recently recognized as a promising new spectrum opportnuity for wireless broadband services. Database-assisted white space networks has been recognized (by many regulatory bodies, e.g., FCC in the US and OFCOM in the UK, and standardization organizations, e.g., IEEE and ECC) as the most prospective approach for TV white space utilization. In database-assisted white space networks, secondary devices (also called white space devices, WSDs) periodically report their locations to a third-party database called geo-location database, and the database computes the corresponding available spectrum based on an up-to-date repository of licensees it knows. Obviously, the long-term and large-scale commercial deployment of such a database-assisted network requires the coordination and cooperation of all involved parties, including spectrum licensees, geo-location databases, and WSDs, which form the White Space Ecosystem. While most of the existing studies focused on the technical issues in developing/implementing such a network, in this project, we consider the economic issue in operating such a database-assistedd network. In particular, we analyze the interactions of inovlved parties and propose appropriate incentive mechanisms in two different market models: White Space Trading Market and Information Market,

  • Publications:

  1. Yuan Luo, Lin Gao, and Jianwei Huang, "Economics of Database-Assisted Spectrum Sharing," Springer (forthcoming).

  2. Yuan Luo, Lin Gao, and Jianwei Huang, "An Integrated Spectrum and Information Market for Green Cognitive Communications," IEEE Journal on Selected Areas in Communications (JSAC), forthcoming. [PDF]

  3. Yuan Luo, Lin Gao, and Jianwei Huang, "MINE GOLD to Deliver Green Cognitive Communications," IEEE Journal on Selected Areas in Communications (JSAC), vol. 33, no. 2, pp. 2749-2760, Dec. 2015. [PDF]

  4. Yuan Luo, Lin Gao, and Jianwei Huang, "Spectrum Reservation Contract Design in TV White Space Networks," IEEE Transactions on Cognitive Communications and Networking (Invited Paper), vol. 1, no. 2, pp. 147-160, June. 2015. [PDF]

  5. Yuan Luo, Lin Gao, and Jianwei Huang, "Business Modeling for TV White Space Networks," IEEE Communications Magazine, vol. 53, no. 5, pp. 82-88, May 2015. [PDF]

  6. Yuan Luo, Lin Gao, and Jianwei Huang, "HySIM: A Hybrid Spectrum and Information Market for TV White Space Networks," in IEEE International Conference on Computer Communications (INFOCOM), Hong Kong, 2015. [PDF]

  7. Yuan Luo, Lin Gao, and Jianwei Huang, "Price and Inventory Competition in Oligopoly TV White Space Markets," IEEE Journal on Selected Areas in Communications (JSAC), vol 33, no 5, pp. 1002-1013, October 2014. [PDF]

  8. Yuan Luo, Lin Gao, and Jianwei Huang, "Trade Information, Not Spectrum: A Novel TV White Space Information Market Model," in Proceeding of IEEE WiOpt'14 (Best Paper Award). [PDF]

  9. Yuan Luo, Lin Gao, and Jianwei Huang, "Information Market for TV Wthie Space," in Workshop of IEEE INFOCOM on Smart Data Pricing (invited). [PDF]

  10. Yuan Luo, Lin Gao, and Jianwei Huang, "White Space Ecosystem: A Secondary Operator's Perspective," in Proceeding of IEEE GLOBECOM '13, Atlanta, Georgia, USA, 2013. [PDF]

  11. Yuan Luo, Lin Gao, and Jianwei Huang, "Spectrum Broker by Geo-location Database," in Proceeding of IEEE GLOBECOM '12, Anaheim, California, USA, 2012. [PDF]