目前3GPP 網路的計費系統並不是針對機器類型通訊(MTC)設計的。現存的
收費機制通常只考慮以人類為基礎的通信應用所產生的流量。 MTC 產生的流
量特色和以人類為基礎的通信應用所產生的流量特徵並不相同。本論文提出
MECR (Multiple Event-based Credit Reservation)程序並應用於MTC 線上計
費服務。論文中我們提出分析模型和模擬程式去探討MECR 對線上計費系統的
效能影響。模擬的數據顯示考慮MTC 所產生的流量特徵對降低Credit Control
Request (CCR)訊息和計費紀錄(CDRs)有顯著的影響。
為了因應MTC 裝置對3GPP 核心網路的大量通訊，本論文提供電信業者僅需改變
保留點數的預約策略下，預期將可有效降低CCR 訊息和CDRs，減少計費管理的負擔。

Current-day 3rd Generation Partnership Project (3GPP) networks charging system
is not designed for Machine Type Communications (MTC) applications. The existing
charging mechanisms usually just consider the traffic characteristics of human-based
communication applications (i.e. a call session long, download data volume). However,
MTC traffic characteristics are quite different to human-base traffic characteristics.
The objective of this thesis is to propose a new credit reservation procedure, called
Multiple Event-based Credit Reservation (MECR) to be make use of online charging
for MTC services. We develop an analytical model and extensive simulation to in-
vestigate the MECR procedure performance. Numerical results show that our MECR
procedure can significantly reduce Credit Control Request (CCR) messages and bulk
Charging Data Records (CDRs).

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