Secondary markets for mobile data: Feasibility and benefits of traded data plans

The growing volume of mobile data traffic has led many Internet service providers (ISPs) to cap their users' monthly data usage, with overage fees for exceeding their caps. In this work, we examine a secondary data market in which users can buy and sell leftover data caps from each other. China Mobile Hong Kong recently introduced such a market. While similar to an auction in that users submit bids to buy and sell data, it differs from traditional double auctions in that the ISP serves as the middleman between buyers and sellers. We derive the optimal prices and amount of data that different buyers and sellers are willing to bid in this market and then propose an algorithm for ISPs to match buyers and sellers. We compare the optimal matching for different ISP objectives and derive conditions under which an ISP can obtain higher revenue with the secondary market: while the ISP loses revenue from overage fees, it can assess administration fees and take the differences between the buyer and seller prices. Finally, we use one year of usage data from 100 U.S. mobile users to illustrate that the conditions for a revenue increase can hold in practice.

[1]  Jeffrey K. MacKie-Mason,et al.  Pricing the Internet , 1995 .

[2]  Mingyan Liu,et al.  Revenue generation for truthful spectrum auction in dynamic spectrum access , 2009, MobiHoc '09.

[3]  Sangtae Ha,et al.  TUBE: time-dependent pricing for mobile data , 2012, SIGCOMM '12.

[4]  Patrick Maillé,et al.  Multibid auctions for bandwidth allocation in communication networks , 2004, IEEE INFOCOM 2004.

[5]  Leigh Tesfatsion,et al.  Market power and efficiency in a computational electricity market with discriminatory double-auction pricing , 2001, IEEE Trans. Evol. Comput..

[6]  Michael P. Wellman,et al.  Flexible double auctions for electronic commerce: theory and implementation , 1998, Decis. Support Syst..

[7]  Sangtae Ha,et al.  The economics of shared data plans , 2012 .

[8]  A. Lazar,et al.  Design, Analysis and Simulation of the Progressive Second Price Auction for Network Bandwidth Sharing , 1998 .

[9]  Sangtae Ha,et al.  A survey of smart data pricing , 2012, ACM Comput. Surv..

[10]  Yue Jin,et al.  Smart data pricing: To share or not to share? , 2014, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[11]  2015 IEEE Conference on Computer Communications, INFOCOM 2015, Kowloon, Hong Kong, April 26 - May 1, 2015 , 2015, INFOCOM.

[12]  U. Krause.  Concave Perron–Frobenius Theory and applications , 2001 .

[13]  Deborah Estrin,et al.  A first look at traffic on smartphones , 2010, IMC '10.

[14]  S. Hao.  A study of basic bidding strategy in clearing pricing auctions , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).