Bulk credit reservation in event-based Machine Type Communications for 3GPP online charging

Sok Ian Sou; Dung Ru Tsai

doi:10.1016/j.comnet.2014.09.011

Bulk credit reservation in event-based Machine Type Communications for 3GPP online charging

Sok Ian Sou, Dung Ru Tsai

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Machine Type Communications (MTCs) open up new applications and new markets for mobile operators. One of the major open problems in the field of MTC is to handle a very large amount of traffic with small payloads along with the requirements for creating bulk Charging Data Records (CDRs). This paper proposes a new credit reservation procedure, called Multiple Event-based Credit Reservation (MECR), to effectively manage online credit for event-based MTC services in 3GPP core networks. We develop an analytical model and conduct extensive simulation to investigate the performance of MECR. Specifically, output metrics include the number of MTC reports served and the unused credit returned when the MECR procedure is executed. Numerical results show that the proposed MECR procedure can significantly reduce the signaling overhead of online charging in terms of the number of credit control messages and the number of CDRs generated.

Original language	English
Pages (from-to)	75-85
Number of pages	11
Journal	Computer Networks
Volume	75
Issue number	PartA
DOIs	https://doi.org/10.1016/j.comnet.2014.09.011
Publication status	Published - 2014 Dec 24

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

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10.1016/j.comnet.2014.09.011

Cite this

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title = "Bulk credit reservation in event-based Machine Type Communications for 3GPP online charging",

abstract = "Machine Type Communications (MTCs) open up new applications and new markets for mobile operators. One of the major open problems in the field of MTC is to handle a very large amount of traffic with small payloads along with the requirements for creating bulk Charging Data Records (CDRs). This paper proposes a new credit reservation procedure, called Multiple Event-based Credit Reservation (MECR), to effectively manage online credit for event-based MTC services in 3GPP core networks. We develop an analytical model and conduct extensive simulation to investigate the performance of MECR. Specifically, output metrics include the number of MTC reports served and the unused credit returned when the MECR procedure is executed. Numerical results show that the proposed MECR procedure can significantly reduce the signaling overhead of online charging in terms of the number of credit control messages and the number of CDRs generated.",

author = "Sou, {Sok Ian} and Tsai, {Dung Ru}",

note = "Funding Information: The work of S.-I. Sou was sponsored in part by the National Science Council (NSC), Taiwan, ROC, under the contract number NSC 102-2221-E-006 -112 -MY3 . Publisher Copyright: {\textcopyright} 2014 Elsevier B.V. All rights reserved.",

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T1 - Bulk credit reservation in event-based Machine Type Communications for 3GPP online charging

AU - Sou, Sok Ian

AU - Tsai, Dung Ru

N1 - Funding Information: The work of S.-I. Sou was sponsored in part by the National Science Council (NSC), Taiwan, ROC, under the contract number NSC 102-2221-E-006 -112 -MY3 . Publisher Copyright: © 2014 Elsevier B.V. All rights reserved.

PY - 2014/12/24

Y1 - 2014/12/24

N2 - Machine Type Communications (MTCs) open up new applications and new markets for mobile operators. One of the major open problems in the field of MTC is to handle a very large amount of traffic with small payloads along with the requirements for creating bulk Charging Data Records (CDRs). This paper proposes a new credit reservation procedure, called Multiple Event-based Credit Reservation (MECR), to effectively manage online credit for event-based MTC services in 3GPP core networks. We develop an analytical model and conduct extensive simulation to investigate the performance of MECR. Specifically, output metrics include the number of MTC reports served and the unused credit returned when the MECR procedure is executed. Numerical results show that the proposed MECR procedure can significantly reduce the signaling overhead of online charging in terms of the number of credit control messages and the number of CDRs generated.

AB - Machine Type Communications (MTCs) open up new applications and new markets for mobile operators. One of the major open problems in the field of MTC is to handle a very large amount of traffic with small payloads along with the requirements for creating bulk Charging Data Records (CDRs). This paper proposes a new credit reservation procedure, called Multiple Event-based Credit Reservation (MECR), to effectively manage online credit for event-based MTC services in 3GPP core networks. We develop an analytical model and conduct extensive simulation to investigate the performance of MECR. Specifically, output metrics include the number of MTC reports served and the unused credit returned when the MECR procedure is executed. Numerical results show that the proposed MECR procedure can significantly reduce the signaling overhead of online charging in terms of the number of credit control messages and the number of CDRs generated.

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Bulk credit reservation in event-based Machine Type Communications for 3GPP online charging

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