research-article

Variety matters: a new model for the wireless data market under sponsored data plans

Authors:

Ke XuAuthors Info & Claims

IWQoS '19: Proceedings of the International Symposium on Quality of Service

Article No.: 23, Pages 1 - 10

https://doi.org/10.1145/3326285.3329058

Published: 24 June 2019 Publication History

Abstract

In this paper, we develop a new model to study the competition among Content Providers (CPs) under Sponsored Data Plans (SDPs). SDP is an emerging pricing model for the wireless data market where Internet Service Providers (ISPs) allow a CP to compensate the traffic volume of users when users access the contents of this CP. Studies have shown that SDPs create a triple-win situation, where users consume more contents and the revenue of both CPs and ISPs increases. Currently, a main concern of SDPs is on whether SDPs may bring about unfair competition among CPs. Studies have shown that big CPs have an advantage over small CPs. We observe that such conclusions are derived because in all previous models, traffic price is the only factor that affects user decisions. We argue that it is not precise. Nowadays, people conduct a large variety of activities online, and users have an intrinsic demand for a variety of contents. To reflect this, we for the first time characterize the variety demand as an intrinsic parameter of users, and integrate such variety into a new model to help us drive some novel insights into SDPs, especially the competition among CPs. Our model shows that variety matters for understanding SDPs more thoroughly and comprehensively. For example, under SDPs, the advantage of CPs with higher revenue will be significantly reduced if users have a greater love for variety. Overall, our new model leads to a set of completely new results and rectifies some past conclusions.

References

[1]

Matthew Andrews, Ulaş Özen, Martin I Reiman, and Qiong Wang. 2013. Economic Models of Sponsored Content in Wireless Networks with Uncertain Demand. In IEEE INFOCOM Workshop. 3213--3218.

[2]

AT&T. 2017. AT&T wireless data plans. ({Online}, Available: https://www.att.com/shop/wireless/data-plans.html).

[3]

Dave Chaffey. 2018. Mobile Marketing Statistics compilation. ({Online}, Available: http://www.smartinsights.com/mobile-marketing/mobile-marketing-analytics/mobile-marketing-statistics/).

[4]

Antonio J Conejo, Francisco Javier Nogales, and José Manuel Arroyo. 2002. Price-Taker Bidding Strategy Under Price Uncertainty. IEEE Transactions on Power Systems 17, 4 (2002), 1081--1088.

[5]

Sangtae Ha, Soumya Sen, Carlee Joe-Wong, Youngbin Im, and Mung Chiang. 2012. TUBE: Time-Dependent Pricing for Mobile Data. ACM SIGCOMM 42, 4 (2012), 247--258.

Digital Library

[6]

Prashanth Hande, Mung Chiang, Robert Calderbank, and Sundeep Rangan. 2009. Network Pricing and Rate Allocation with Content Provider Participation. In IEEE INFOCOM. 990--998.

[7]

Saul H Hymans. 1966. The Price-Taker: Uncertainty, Utility, and the Supply Function. International Economic Review 7, 3 (1966), 346--356.

[8]

Ken-Ichi Inada. 1963. On a Two-Sector Model of Economic Growth: Comments and a Generalization. The Review of Economic Studies 30, 2 (1963), 119--127.

[9]

Carlee Joe-Wong, Soumya Sen, and Sangtae Ha. 2018. Sponsoring Mobile Data: Analyzing the impact on internet stakeholders. IEEE/ACM Transactions on Networking 26, 3 (2018), 1179--1192.

Digital Library

[10]

Lifewire. 2018. How Many Apps Are in the App Store? ({Online}, Available: https://www.lifewire.com/how-many-apps-in-app-store-2000252).

[11]

Patrick Loiseau, Galina Schwartz, John Musacchio, and Saurabh Amin. 2011. Incentive Schemes for Internet Congestion Management: Raffles versus Time-of-Day Pricing. In IEEE Annual Allerton Conference. 103--110.

[12]

Richard TB Ma. 2014. Subsidization Competition: Vitalizing the Neutral Internet. In ACM CoNEXT. 283--294.

Digital Library

[13]

James Morgan. 1962. The Anatomy of Income Distribution. The Review of Economics and Statistics 44, 3 (1962), 270--283.

[14]

Paul Njoroge, Asuman Ozdaglar, Nicolás E Stier-Moses, and Gabriel Y Weintraub. 2013. Investment in Two Sided Markets and the Net Neutrality Debate. Review of Network Economics 12, 4 (2013), 355--402.

[15]

Statista. 2017. Average number of apps used vs. number of apps installed by users in the United States in 2016, by device. ({Online}, Available: https://www.statista.com/statistics/681206/us-app-installation-usage-device/).

[16]

Statista. 2017. Distribution of time spent on mobile apps in the United States in June 2017, by category. ({Online}, Available: https://www.statista.com/statistics/319652/us-mobile-app-time-distribution-category/).

[17]

TechReport. 2019. Technical Report for Variety Matters. ({Online}, Available: https://www.dropbox.com/s/7f1lt7w7vgi6bj8/iWQoS2019_Technical_report_for_Variety_Matters.pdf?dl=0).

[18]

Verizon. 2013. Making sense of data: How much do you need? ({Online}, Available: https://www.verizonwireless.com/articles/making-sense-of-data-how-much-do-you-need/).

[19]

Xin Wang, Richard TB Ma, and Yinlong Xu. 2017. On Optimal Two-Sided Pricing of Congested Networks. ACM Sigmetrics 1, 1 (2017), 7.

Digital Library

[20]

Ke Xu, Yifeng Zhong, and Huan He. 2014. Internet Resource Pricing Models. Springer.

Digital Library

[21]

Liang Zhang and Dan Wang. 2014. Sponsoring Content: Motivation and Pitfalls for Content Service Providers. In IEEE INFOCOM Workshop. 577--582.

[22]

Liang Zhang, Weijie Wu, and Dan Wang. 2015. Sponsored Data Plan: A Two-Class Service Model in Wireless Data Networks. In ACM SIGMETRICS. 85--96.

[23]

Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, and Qi Tan. 2019. TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information. In IEEE INFOCOM.

Cited By

Chen DWang HHan K(2023)Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach2023 32nd Wireless and Optical Communications Conference (WOCC)10.1109/WOCC58016.2023.10139782(1-6)Online publication date: 5-May-2023
https://doi.org/10.1109/WOCC58016.2023.10139782
Zhao YTan QXu XSu HWang DXu K(2022)Congestion-Aware Modeling and Analysis of Sponsored Data Plan from End User Perspective2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)10.1109/IWQoS54832.2022.9812866(1-11)Online publication date: 10-Jun-2022
https://doi.org/10.1109/IWQoS54832.2022.9812866
Zhao YWang HSu HZhang LZhang RWang DXu K(2020)Understand Love of Variety in Wireless Data Market Under Sponsored Data PlansIEEE Journal on Selected Areas in Communications10.1109/JSAC.2020.297180938:4(766-781)Online publication date: Apr-2020
https://doi.org/10.1109/JSAC.2020.2971809
Show More Cited By

Index Terms

Variety matters: a new model for the wireless data market under sponsored data plans
1. Networks

Recommendations

Price Competition in Markets with Consumer Variety Seeking

We investigate price competition between firms in markets characterized by consumer variety seeking. While previous research has addressed the effect of consumer inertia on prices, there exists no research on the effects of variety seeking on price ...
Positioning and Pricing in a Variety Seeking Market

We study competitive positioning and pricing strategies in markets where consumers seek variety. Variety seeking behavior is modeled as a decrease in the willingness to pay for the product purchased on the previous purchase occasion. Using a three-stage ...
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization

Plain vanilla $K$-means clustering has proven to be successful in practice, yet it suffers from outlier sensitivity and may produce highly unbalanced clusters. To mitigate both shortcomings, we formulate a joint outlier detection and clustering problem, ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

IWQoS '19: Proceedings of the International Symposium on Quality of Service

June 2019

420 pages

ISBN:9781450367783

DOI:10.1145/3326285

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

IWQoS '19

IWQoS '19: IEEE/ACM International Symposium on Quality of Service

June 24 - 25, 2019

Arizona, Phoenix

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
85
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Chen DWang HHan K(2023)Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach2023 32nd Wireless and Optical Communications Conference (WOCC)10.1109/WOCC58016.2023.10139782(1-6)Online publication date: 5-May-2023
https://doi.org/10.1109/WOCC58016.2023.10139782
Zhao YTan QXu XSu HWang DXu K(2022)Congestion-Aware Modeling and Analysis of Sponsored Data Plan from End User Perspective2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS)10.1109/IWQoS54832.2022.9812866(1-11)Online publication date: 10-Jun-2022
https://doi.org/10.1109/IWQoS54832.2022.9812866
Zhao YWang HSu HZhang LZhang RWang DXu K(2020)Understand Love of Variety in Wireless Data Market Under Sponsored Data PlansIEEE Journal on Selected Areas in Communications10.1109/JSAC.2020.297180938:4(766-781)Online publication date: Apr-2020
https://doi.org/10.1109/JSAC.2020.2971809
Lv LXu KWang HShen MZhao YLi MGeng GLiu Z(2020)Analysis, Modeling, and Implementation of Publisher-side Ad Request FilteringIEEE INFOCOM 2020 - IEEE Conference on Computer Communications10.1109/INFOCOM41043.2020.9155457(2223-2232)Online publication date: Jul-2020
https://doi.org/10.1109/INFOCOM41043.2020.9155457
Zhao YXu KYan FZhang YFu YWang H(2020)Auction-based High Timeliness Data Pricing under Mobile and Wireless NetworksICC 2020 - 2020 IEEE International Conference on Communications (ICC)10.1109/ICC40277.2020.9149197(1-6)Online publication date: Jun-2020
https://doi.org/10.1109/ICC40277.2020.9149197

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents