Browsing by Author "Wu, Jo-Ching"

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A Comparison of 4G Telecommunications Tariff Plans in Asia Countries
(2014)
Huang, Huai-Sheng
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Su, Tzu-Chung
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Wu, Jo-Ching
;
Tsai, Wan-Du
;
Tseng, Yu-Chee
Long Term Evolution (LTE) has been widely adopted by many 4G network operators. Many countries in America, Europe, and Asia have started LTE services since 2010. In the meantime, some countries (such as Taiwan and China) are in the process of transferring from 3G or Worldwide Interoperability for Microwave Access (WiMAX) to 4G services. In this paper, we investigate the tariff plans of the nine telecommunications operators which own top-three market shares in Singapore, Japan, and Hong Kong, respectively. Several issues, such as market share, tariff strategy, and even customs are discussed. Also, Tier-pricing strategies of LTE, such as Fair Use Policy (FUP), monthly data allowance, and data overage allowance, are discussed and compared. Moreover, we compare different charging plans and examine their price-performance ratios.
A study on Shared and non-Shared Billing for Mobile Service
(2015)
Wu, Jo-Ching
;
Lin, Yi-Bing
;
Lin, Yun-Wei
;
Wang, Yung-Ching
;
Lin, Bo-Ting
In this paper, we study on the price comparison between shared plan and non-shared plan for mobile service. A non-shared data plan is a traditional data plan for a single user with a limited monthly data allowance. A shared data plan allows a user to add different devices to one inclusive plan and receive one bill at the end of every month, which the monthly data allowance is shared by a group of users across multiple devices. Each data plan is charged by a fixed price for a monthly data allowance and there will be an extra charge if a user consumes more than the monthly data allowance. Therefore, the charged price is affected by the user\'s behaviors. We study the users\' behaviors by observing the measured data from Chunghwa Telecom and derive stochastic models for shared plan and non-shared plan to evaluate monthly prices based on different users\' behaviors. We recommend the most appropriate plan for a group of users based on users\' behaviors. On the other hand, mobile operators can attract more customers and earn more profit. We show that the shared plan is a \'win-win\' plan for users and operators.