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Pricing for QoS-enabled networks: A survey

Published: 01 April 2000 Publication History

Abstract

A complete solution to the problem of providing adequate quality of service (QoS) to heterogeneous users must take into account the issue of pricing. By adopting an appropriate pricing policy and by setting prices carefully, a service provider will be able to offer the necessary incentives for each user to choose the service that best matches his⁄her needs, thereby discouraging over-allocation of resources and maximizing revenue and⁄or social welfare. In this article, we survey some of the recent research in the literature dealing with service pricing in multi-service networks. All of the work surveyed here addresses the relationship between prices and traffic management functions such as congestion control, resource provisioning, and call admission control. We summarize proposed pricing policies for the Internet and for ATM networks, as well as some studies of pricing for general QoS-enabled networks.

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  • (2024)CREDIT: A Credible Trust Framework for Dynamic Mobile Data Pricing EnforcementIEEE Transactions on Network and Service Management10.1109/TNSM.2024.341131221:4(4332-4342)Online publication date: 7-Jun-2024
  • (2023)Pricing eSIM Services: Ecosystem, Challenges, and OpportunitiesIEEE Communications Magazine10.1109/MCOM.008.220070261:7(18-24)Online publication date: 1-Jul-2023
  • (2022)Power Control Based BPM with CDS Scheduling for Downlink Transmission in LTE-A NetworksWireless Personal Communications: An International Journal10.1007/s11277-022-09683-1125:3(2753-2767)Online publication date: 1-Aug-2022
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      Published In

      cover image IEEE Communications Surveys & Tutorials
      IEEE Communications Surveys & Tutorials  Volume 3, Issue 2
      April 2000
      59 pages

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      IEEE Press

      Publication History

      Published: 01 April 2000

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      • (2024)CREDIT: A Credible Trust Framework for Dynamic Mobile Data Pricing EnforcementIEEE Transactions on Network and Service Management10.1109/TNSM.2024.341131221:4(4332-4342)Online publication date: 7-Jun-2024
      • (2023)Pricing eSIM Services: Ecosystem, Challenges, and OpportunitiesIEEE Communications Magazine10.1109/MCOM.008.220070261:7(18-24)Online publication date: 1-Jul-2023
      • (2022)Power Control Based BPM with CDS Scheduling for Downlink Transmission in LTE-A NetworksWireless Personal Communications: An International Journal10.1007/s11277-022-09683-1125:3(2753-2767)Online publication date: 1-Aug-2022
      • (2021)Network Capacity as Common Pool ResourceProceedings of the ACM on Human-Computer Interaction10.1145/34491355:CSCW1(1-25)Online publication date: 22-Apr-2021
      • (2018)Pricing strategies and categories for LTE networksTelecommunications Systems10.1007/s11235-017-0384-268:2(183-192)Online publication date: 1-Jun-2018
      • (2017)Cost Efficiency for Economical Mobile Data Traffic Management From Users’ PerspectiveIEEE Transactions on Wireless Communications10.1109/TWC.2016.262361516:1(362-375)Online publication date: 1-Jan-2017
      • (2017)A Pricing-Aware Resource Scheduling Framework for LTE NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2016.262950125:3(1445-1458)Online publication date: 1-Jun-2017
      • (2017)Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2017.264798119:2(954-1001)Online publication date: 2-Jun-2017
      • (2016)Pricing schemes in processor sharing systemsTelecommunications Systems10.1007/s11235-015-0132-463:3(421-435)Online publication date: 1-Nov-2016
      • (2016)Partitioning uncertain workloadsNetnomics10.1007/s11066-016-9111-517:3(233-253)Online publication date: 1-Nov-2016
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