Paper
24 January 2012 Pricing by timing: innovating broadband data plans
Sangtae Ha, Carlee Joe-Wong, Soumya Sen, Mung Chiang
Author Affiliations +
Abstract
Wireless Internet usage is doubling every year. Users are using more of high bandwidth data applications, and the heavy usage concentrates on several peak hours in a day, forcing ISPs to overprovision their networks accordingly. In order to remain profitable, ISPs have been using pricing as a congestion management tool. We review many of such pricing schemes in practice today and argue that they do not solve ISPs' problem of growing data traffic. We believe that dynamic, time-dependent usage pricing, which charges users based on when they access the Internet, can incentivize users to spread out their bandwidth consumption more evenly across different times of the day, thus helping ISPs to overcome the problem of peak congestion. Congestion pricing is not a new idea in itself, but the time for its implementation in data networks has finally arrived. Our key contribution lies in developing new analysis and a fully integrated system architecture, called TUBE (Time-dependent Usage-based Broadband price Engineering) that enables ISPs to implement the proposed TDP plan. The theory, simulation, and system implementation of TUBE system is further complemented with consumer surveys conducted in India and the US, along with preparations for a field trial that is currently underway.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sangtae Ha, Carlee Joe-Wong, Soumya Sen, and Mung Chiang "Pricing by timing: innovating broadband data plans", Proc. SPIE 8282, Broadband Access Communication Technologies VI, 82820D (24 January 2012); https://doi.org/10.1117/12.914462
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CITATIONS
Cited by 29 scholarly publications.
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KEYWORDS
Internet

Tolerancing

Video

Data modeling

Feedback loops

Human-machine interfaces

Profiling

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