標題: An Hourly Day-Ahead Paris Metro Pricing Scheme for Mobile Data Networks
作者: Huang, Huai-Sheng
Lee, Po-Han
Tseng, Yu-Chee
Lin, Bo Ting
Hu, Wan-Hsun
資訊工程學系
Department of Computer Science
關鍵字: Mobile data networks;Online Charging System (OCS);Paris Metro Pricing (PMP);Smart Data Pricing (SDP);Time-Dependent Pricing (TDP)
公開日期: 2015
摘要: Since static pricing models (such as flat-rate or tiered-rate models) can not improve user utility for subscribers and ease network congestion for operators during peak time, Smart Data Pricing (SDP) has become an important incentive for mobile data markets. Paris Metro Pricing (PMP), which is a static pricing mode inspired by the pricing model for the Paris metro system, uses differentiated prices to motivate users to choose different train classes. Before choosing a class, people will consider their expected quality of service (QoS) versus the prices that they are willing to pay. Even though FMB can not guarantee the actual QoS during service time, a balance between users\' utilities and operators\' revenue is achieved. In this paper, we propose a dynamic PMP scheme, so-called DPMP, which determines the prices and capacities of different classes for the next 24 hours. The prices should optimize the revenues and utilities for operators and subscribers, respectively. Our simulation results show that DPMP can better balance those two factors and determine the appropriate log period for operators.
URI: http://hdl.handle.net/11536/135790
ISBN: 978-4-8855-2296-3
期刊: 2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMS
起始頁: 268
結束頁: 272
顯示於類別:會議論文