SDP research papers can be roughly categorized by the different types of pricing that they investigate. We consider 15 such topics here. If you know of a paper we missed, let us know.

Surveys and methodologies (8)

Over the past two decades, researchers have periodically surveyed different data pricing methods and considered methodologies for SDP research. These papers survey the field at various points in its history and reference many of the works in this repository.

An overview of pricing concepts for broadband IP networks

M. Falkner, M. Devetsikiotis and I. Lambadaris  IEEE Communications Surveys, 3(2): 2—13, 2000

In this article we provide an overview of pricing concepts for broadband multiservice networks. We review the notions of flat pricing, priority pricing, Paris-Metro pricing, smart-market pricing, responsive pricing, expected capacity pricing, edge pricing, and effective bandwidth pricing. We use numerous evaluation criteria, including network, economic, and social efficiency, as well as their suitability in using pricing as a means for congestion control. Some of the schemes are based on best-effort networks, and are thus unable to provide the user with quality of service (QoS) guarantees. Others build on networks with connection admission control functions and are thus able to provide individual QoS guarantees. We particularly investigate the relevant time frame over which pricing schemes are assumed to operate. The majority of the schemes work on short time frames (on the order of minutes), which makes them applicable to use pricing as an additional means for controlling congestion. We also consider technical aspects such as compliance with existing networking technologies or computational overheads associated with billing and accounting.

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A survey of pricing for integrated service networks

X. Chang and D. W. Petr  Computer Communications, 24(18): 1808—1818, 2001

Advances in technology have greatly increased the demand for a single integrated service network that can provide multiple service classes for different user requirements. For such a multiple-service network, congestion control is one of the key issues to be addressed. However, without an appropriate mechanism to encourage end users to use the network properly, over-utilization and congestion are unavoidable. For this problem, it is widely accepted that pricing is a proper tool to manage congestion, encourage network growth, and allocate resource to users in a fair manner. However, how to charge for the traffic and at what price is still under study. In this paper, we first briefly review the state of the art and technological growth of congestion control for integrated service networks (ISN). Subsequently, we present a summary of the recent developments on various pricing policies and different charging and billing schemes that have been proposed for ATM and Internet Differentiated Services. Some architecture and implementation issues are also discussed. Finally, some future trends are identified.

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Charging and pricing challenges for 3G systems

Z. Ezziane  IEEE Communications Surveys and Tutorials, 7(4): 58—68, 2005

Its an image and I dont want to type it!

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A survey of pricing schemes in wireless networks

C. A. Gizelis and D. D. Vergados  IEEE Communications Surveys and Tutorials, 13(1): 126—145, 2011

The expansion of new technologies is expected to offer economic growth in the wired and wireless technological networking environment, while at the same time, it will offer a wide variety of services and give the possibility for utilizing technologies for the benefit of many subscribers. The Pricing Schemes are designed to offer profitable business to the Wireless Service Providers (WSPs), as well as, to create favorable services for the mobile subscribers and eventually to get charged according to their services usage. In this paper, the Pricing Schemes are classified, based on their ability to adapt to the needs of the WSPs and their subscribers during the entire service period, into Static-based Pricing and Dynamic-based Pricing Schemes. The Pricing Schemes are also analyzed in detail and are further classified according to the factors involved in the price calculation of a service, i.e. the Service Level Agreement (SLA), the subscription type, the negotiation capabilities between WSPs and their subscribers, the network capacity, the available bandwidth and frequency spectrum, the network hops, and the Base Stations (BSs). The affected elements by the pricing network are also discussed, together with the performance evaluation of the presented pricing schemes.

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Internet economics: An annotated bibliography

B. C. Klopfenstein  Journal of Media Economics, 11(1): 33—48, 2009

This is an annotated bibliography of recent works (papers, articles, and book chapters) in the burgeoning field of Internet economics. Publications on Internet economics were sought through traditional research means and by searching the World Wide Web. An introduction to the bibliography explains how the references were sought and identifies key themes that emerge from the research, particularly as they relate to media scholarship. Entries are listed in alphabetical order. Each citation is accompanied by an annotation of at least a few sentences that summarize the cited work's key points as they relate to Internet economics.

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Incentivizing time-shifting of data: A survey of time-dependent pricing for Internet access

S. Sen, C. Joe-Wong, S. Ha and M. Chiang  IEEE Communications Magazine, 50(11): 91—99, 2012

The tremendous growth in demand for broadband data is forcing ISPs to use pricing as a congestion management tool. This changing landscape of Internet access pricing is evidenced by the elimination of flat rate data plans in favor of usage-based pricing by major wired and wireless operators in the US and Europe. But simple usage-based fees suffer from the problem of imposing costs on all users, irrespective of the network congestion level at a given time. To effectively reduce network congestion, appropriate incentives must be provided to users who are willing to time-shift their data demand from peak to off-peak periods. These pricing incentives can either be static (e.g., two-period daytime/nighttime prices) or computed dynamically (e.g., dayahead pricing, real-time pricing). Data plans that offer such incentives to consumers fall under the category of time-dependent pricing (TDP). Many ISPs across the world are currently exploring various forms of TDP to manage their traffic growth. This article first outlines the sources of today¿s challenges, and then discusses current trends from regulatory and technological perspectives. Finally, we review representative pricing proposals for incentivizing the time-shifting of data.

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A survey of smart data pricing: Past proposals, current plans, and future trends

S. Sen, C. Joe-Wong, S. Ha and M. Chiang  ACM Computing Surveys, 46(2): 1—37, 2013

Traditionally, network operators have used simple flat-rate broadband data plans for both wired and wireless network access. But today, with the popularity of mobile devices and exponential growth of apps, videos, and clouds, service providers are gradually moving toward more sophisticated pricing schemes. This decade will therefore likely witness a major change in the ways in which network resources are managed, and the role of economics in allocating these resources. This survey reviews some of the well-known past broadband pricing proposals (both static and dynamic), including their current realizations in various consumer data plans around the world, and discusses several research problems and open questions. By exploring the benefits and challenges of pricing data, this article attempts to facilitate both the industrial and the academic communities' efforts in understanding the existing literature, recognizing new trends, and shaping an appropriate and timely research agenda.

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Smart data pricing: Lessons from trial planning

M.-J. Sheng, C. Joe-Wong, S. Ha, F. M. F. Wong and S. Sen  Proceedings of the 2nd IEEE International Workshop on Smart Data Pricing (SDP), 2013

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.

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