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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liang Zheng Joe-Wong, C. Chee Wei Tan Sangtae Ha Mung Chiang |
| Copyright Year | 2015 |
| Description | Author affiliation: Princeton Univ., Princeton, NJ, USA (Joe-Wong, C.; Mung Chiang) || Univ. of Colorado, Boulder, CO, USA (Sangtae Ha) || City Univ. of Hong Kong, Hong Kong, China (Liang Zheng; Chee Wei Tan) |
| Abstract | 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. |
| Starting Page | 1580 |
| Ending Page | 1588 |
| File Size | 369363 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781479983810 |
| DOI | 10.1109/INFOCOM.2015.7218537 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-26 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Conferences Computers Mobile communication Web and internet services Optimal matching Pricing Data models |
| Content Type | Text |
| Resource Type | Article |
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