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Content Provider | IEEE Xplore Digital Library |
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Author | Ming-Jye Sheng Joe-Wong, C. Sangtae Ha Wong, F.M.F. Soumya Sen |
Copyright Year | 2013 |
Abstract | Rapid increases in the demand for broadband data are increasingly causing a growth in costs for communication service providers (CSPs). Yet under the current pricing plans, CSPs' revenue has not kept pace with these costs. Thus, many CSPs are considering Smart Data Pricing (SDP) as a way to reduce cost or increase revenue. Before offering such novel data plans, however, CSPs must conduct trials of the specific data plans proposed. Due to the complexity of necessary changes in network equipment and a need to carefully design the trial in order to understand customer behavior, planning such trials is not only a critical precursor to SDP deployment, but also a nontrivial undertaking in itself. This paper discusses general principles of trial design and proposes two methods for estimating their effectiveness. We first give an introduction to the goals of SDP research and review three possible SDP approaches. We then discuss the importance of pre-trial participant surveys and some technical considerations of implementing the trial infrastructure for a particular SDP algorithm. Finally, we show how the CSP may extrapolate from the trial results to estimate the SDP trial's benefits, in terms of changes in traffic patterns and a reduction in spectrum requirements. We conclude with some remarks about future work. |
Starting Page | 3327 |
Ending Page | 3332 |
File Size | 191519 |
Page Count | 6 |
File Format | |
ISBN | 9781467359443 |
ISSN | 0743166X |
e-ISBN | 9781467359467 |
DOI | 10.1109/INFCOM.2013.6567159 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-04-14 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Pricing Planning Mobile communication Monitoring Protocols Conferences Internet Spectrum Requirements Smart Data Pricing |
Content Type | Text |
Resource Type | Article |
Subject | Computer Science Electrical and Electronic Engineering |
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