ICGST- AIML Journal

AIML Volume 06 - Issue (III) ICGST
Dynamic Characterized Genetic Algorithm for Power Usage Reduction in WCDMA Adaptive Beam Forming
Tiong Sieh Kiong1, Mahamod Ismail2, Azmi Hassan3
1 College of Engineering, Universiti Tenaga Malaysia (UNITEN) km 7, Kajang-Puchong Road, 43009 Kajang, Selangor Darul Ehsan, Malaysia,
2,3 Faculty of Engineering, Universiti Kebangsaan Malaysia 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia

Abstract:

In this paper, a modified Genetic Algorithm named as Dynamic Characterized Genetic Algorithm (DCGA) is proposed and integrated into adaptive beam forming technique. Power usage is selected to be the optimized factor due to WCDMA system downlink capacity is limited by the maximum allowable power at WCDMA base station (Node B) [1]. Thus, power usage at Node B is used as fitness function to compare the performance of DCGA and GA in reduction the total power usage at all adaptive antenna elements. As contradict to conventional GA, DCGA is able to adapt itself in chromosome representation and thus, reduce unnecessary searching space efficiently. Simulation result has shown that DCGA converges faster and is superior in power usage reduction as compared to conventional GA. Antenna beam formed by using DCGA uses lesser power at most of the times. A dynamic radio network simulator was developed in Visual C++® to study the power consumption at Node B by implementing this new algorithm. Simulation was done based on single micro cell environment with considering interference from the first tier. User mobility is taken into account to provide a combined evaluation of Radio Resource Management (RRM).

Keywords: Adaptive beam forming, Dynamic Characterized Genetic Algorithm, WCDMA

(Full Paper 453KB)

Biography:

Tiong Sieh Kiong  is currently lecturer with the Department of Electrical, Electronics Engineering, Universiti Tenaga Nasional in Malaysia. He received the B.Sc. degree in Electrical and Electronics Engineering from Universiti Kebangsaan Malaysia in 1997, the M.Sc. degree in Communication Engineering from Universiti Kebangsaan Malaysia in 1987, and the Ph.D. from Universiti Kebangsaan Malaysia in 2006.  His research interests include mobile communication, wireless networking and artificial intelligent. He is committee member of IEEE Communication Society, Malaysia, holding the post of treasurer. (E-mail: siehkiong@uniten.edu.my)

 

Mahamod Ismail  is currently an Associate Professor with the Department of Electrical, Electronics and System Engineering, Universiti Kebangsaan Malaysia. He received the B.Sc. degree in Electrical and Electronics from University of Strathclyde, U.K. in 1985, the M.Sc. degree in Communication Engineering and Digital Electronics from UMIST, Manchester U.K. in 1987, and the Ph.D. from University of Bradford, U.K. in 1996.  His research interests include mobile communication and wireless networking. He is the past chapter chair of IEEE Communication Society, Malaysia and now responsible on the IEEE Malaysia Educational Activities.(E-mail: mahamod@eng.ukm.my)

Azmi Hassanis currently Director, Office of the Science Advisor, Ministry of Science, Technology and Innovation, Malaysia. He received the B.Eng (Hons). degree in Manufacturing System Engineering from Leeds Metropoliton University, U.K. in 1991, and the Ph.D from University of Wales Cardiff, U.K. in 1997. His research interests include intelligent optimizations, artificial intelligence and manufacturing systems. He is also an Associate Professor at Department of Mechanical Engineering, National University of Malaysia.  (E-mail: azmi@mosti.gov.my)

 

 

BibTex:

@ARTICLE{P1120625002,

AUTHOR = {Tiong Sieh Kiong and Mahamod Ismail and Azmi Hassan},

TITLE = {Dynamic Characterized Genetic Algorithm for Power Usage Reduction in WCDMA Adaptive Beam Forming},

JOURNAL ={The International Journal of Artificial Intelligence and Machine Learning},

YEAR = {2006},

VOLUME = {6},

ISSUE ={3},

PAGES = {23--28}

}

(Full Paper 453KB)