A comparison of 4G telecommunications tariff plans in Asia countries

Huang, Huai-Sheng; Su, Tzu-Chung; Wu, Jo-Ching; Tsai, Wandu; Tseng, Yu–Chee; Lin, Fuchun Joseph; Lin, Bin; Hu, Weisheng

doi:10.1109/apnoms.2014.6996599

Cited by 5 publications

(1 citation statement)

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“…As a result, operators need to find a way to effectively ease the network congestion during peak time and maintain good user experiences. In the past few years, Fair Use Policy for flat‐rate or tiered‐rate strategies has been proposed . Although some of flat‐rate with unlimited data usage plans still exists, they are not good from both users' and operators' prospectives.…”

Section: Introductionmentioning

confidence: 99%

An adaptive Paris Metro Pricing scheme for mobile data networks

Huang

Lee

et al. 2016

Int J Network Mgmt

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Summary Because static pricing models (such as flat‐rate or tiered‐rate models) cannot improve user utility for subscribers and ease network congestion for operators during peak time, Smart Data Pricing 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 versus the prices that they are willing to pay. Even though PMP cannot guarantee the actual quality of service during service time, a balance between users' utilities and operators' revenue is achieved. In this paper, we propose an adaptive PMP scheme, so‐called APMP, which determines the dynamic access prices of different classes for the next 24 h. The accessible prices should try to increase the revenue while operators can serve more subscribers. Our simulation results show that APMP can significantly improve total revenue and average revenue per user for the operator. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%