Reducing Signaling Cost of Online Credit Reservation for Machine Type Communications

• Main Authors: Dung-RuTsai, 蔡東儒
• Other Authors: Sok-Ian Sou
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/23066220465571696374

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 101 === 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).