TY - GEN
T1 - Smart data pricing
T2 - 32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013
AU - Sheng, Ming Jye
AU - Joe-Wong, Carlee
AU - Ha, Sangtae
AU - Wong, Felix Ming Fai
AU - Sen, Soumya
PY - 2013/9/2
Y1 - 2013/9/2
N2 - 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.
AB - 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.
KW - Smart Data Pricing
KW - Spectrum Requirements
UR - http://www.scopus.com/inward/record.url?scp=84883064864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883064864&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2013.6567159
DO - 10.1109/INFCOM.2013.6567159
M3 - Conference contribution
AN - SCOPUS:84883064864
SN - 9781467359467
T3 - Proceedings - IEEE INFOCOM
SP - 3327
EP - 3332
BT - 2013 Proceedings IEEE INFOCOM 2013
Y2 - 14 April 2013 through 19 April 2013
ER -