Paper Details: Downloads: 469
Serial Number: P1120625002
Title: Dynamic Characterized Genetic Algorithm for Power Usage Reduction in WCDMA Adaptive Beam Forming
Authors: Tiong Sieh Kiong and Mahamod Ismail and Azmi Hassan
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
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 6
Issue: 3
Submission Date: 6/1/2006 12:00:00 AM
Review Date: 7/1/2006 12:00:00 AM
Publishing Date: 9/1/2006 12:00:00 AM
Article Downloads: 469
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