Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network

Y. K. Tee, S. K. Tiong, Koh S.P. Johnny, E. C. Yeoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In wideband code division multiple access (WCDMA) mobile network, total transmission power of Node B depends on diverse factors such as accommodation of new service request, termination of active user equipment (UE) and movement of UE. This makes power prediction a complicated task. In this paper, support vector regression (SVR) has been implemented successfully to forecast next interval power consumption at Node B with different type of antenna system. The predicted output is used by WCDMA mobile network to make decision on new service request admission. Genetic algorithm is then applied to form beams with minimum power to cover all UEs in a macro cell. The proposed algorithm, support vector regression assists genetic algorithm (SVRaGA) was tested in a dynamic WCDMA mobile network simulator. Simulation results have shown SVR can predict next cycle power usage at Node B with excellent accuracy and improve the quality of service (QoS) by minimizing dropped calls in the system.

Original languageEnglish
Title of host publicationProceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008
Pages362-366
Number of pages5
DOIs
Publication statusPublished - 01 Dec 2008
EventIEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008 - Putrajaya, Malaysia
Duration: 26 Aug 200828 Aug 2008

Publication series

NameProceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008

Other

OtherIEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008
CountryMalaysia
CityPutrajaya
Period26/08/0828/08/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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    Tee, Y. K., Tiong, S. K., Johnny, K. S. P., & Yeoh, E. C. (2008). Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network. In Proceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008 (pp. 362-366). [4814303] (Proceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008). https://doi.org/10.1109/NCTT.2008.4814303