Supporting mobile payment QOS by data mining GSM network traffic

ABSTRACT

In mobile commerce, short-message-service (SMS) is an important technique for delivering payment instruction. A payment model "SMS Credit" was proposed earlier [1]. Such payment service or similar relies on the transmission of SMS; it is needed to reduce the occurrence of packet losses and delay, to improve the quality of packet transmission services (QOS) in the network. This paper discusses how the payment service operates in a configurable radio resource environment via data mining. A Radio Resource Management and Prediction Server equipped with data mining algorithms will optimize the radio resources for both voice and data services in order to provide an optimized QOS. Specifically, data mining techniques are applied to define traffic policy and to calculate optimization result through traffic profile analysis.

REFERENCES

• 1: S. Fong, E. Lai, 2005. "Mobile Mini-payment Scheme Using SMS-Credit", International Conference of Computational Science and Its Applications, ICCSA 2005, Lecture Notes in Computer Science, Springer-Verlag, Vol. 2., Singapore, 9--12 May, 2005, p. 1106--1116
• 2: P. Pedersen , L. Methlie, Understanding Mobile Commerce End-User Adoption: A Triangulation Perspective and Suggestion for an Exploratory Service Evaluation Framework, Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3, p.86, January 07-10, 2002
• 3: Anna Hać , Abhinay Armstrong, Resource allocation scheme for QoS provisioning in microcellular networks carrying multimedia traffic, International Journal of Network Management, v.11 n.5, p.277-307, September 2001 [doi>10.1002/nem.410]
• 4: Ing-Ray Chen , Naresh Verma, Simulation Study of a Class of Autonomous Host-Centric Mobility Prediction Algorithms for Wireless Cellular and Ad Hoc Networks, Proceedings of the 36th annual symposium on Simulation, p.65, March 30-April 02, 2003
• 5: Fredrik Berggren , Remco Litjens, Performance analysis of access selection and transmit diversity in multi-access networks, Proceedings of the 12th annual international conference on Mobile computing and networking, September 23-29, 2006, Los Angeles, CA, USA [doi>10.1145/1161089.1161118]
• 6: Jane Y. Yu , Peter H. J. Chong , Ming Yang, Performance of Microcell/Macrocell cellular systems with reuse partitioning, Proceedings of the 3rd international conference on Mobile technology, applications & systems, October 25-27, 2006, Bangkok, Thailand [doi>10.1145/1292331.1292389]
• 7: Smith, P. J.; Sathyendran, A.; Murch, A. R., 1999. "Analysis of traffic distribution in cellular networks", IEEE 49th Vehicular Technology Conference, Volume 3, 16--20 May 1999 Page(s):2075--2079
• 8: Walsh, S.; Garcia, E.; Sezer, S., 2005. "Knowledge-based wireless fair queuing using a traffic-profile compensation technique for broadband fixed wireless applications", The 61st IEEE Conference, Vehicular Technology, 2005, Volume 3, 30 May-1 June 2005, Page(s):1913--1917
• 9: Castaneda DMS, 2004. http://www.girgese.com, 19 Sep

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications

General Terms:
Algorithms, Design, Documentation, Economics, Experimentation, Human Factors, Languages, Legal Aspects, Management, Measurement, Performance, Reliability, Security, Standardization, Theory, Verification

Keywords:
GSM network, data-mining, grade of service, quality of service