WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm

WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm

WCDMA mobile communication systems provide enhanced high-speed data, multimedia, and voice services to mobile users. The integration of such heterogeneous traffic types implies that the network must provide differentiated Quality of Service (QoS). Beam forming techniques have been proposed to increa...

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Bibliographic Details
Main Authors: Prajindra S.K., Tiong S.K., Johnny Koh S.P., Yap D.F.W.
Other Authors: 36053261400
Format: Conference paper
Published: Oficyna Wydawnicza Politechniki Wroclawskiej 2023
Subjects:
Adaptive Beam Forming
Genetic Algorithm
Microcontroller
WCDMA
Algorithms
Antennas
Beamforming
Controllers
Medical applications
Microcontrollers
Mobile telecommunication systems
Multimedia services
Outages
Quality of service
Radio broadcasting
Resource allocation
Adaptive beam-forming
Beamforming technique
Differentiated quality of services
Microcontroller boards
Microcontroller systems
Parallel genetic algorithms
Power resource managements
Genetic algorithms
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Institution: Universiti Tenaga Nasional
Description
Summary:WCDMA mobile communication systems provide enhanced high-speed data, multimedia, and voice services to mobile users. The integration of such heterogeneous traffic types implies that the network must provide differentiated Quality of Service (QoS). Beam forming techniques have been proposed to increase the spectral efficiency of the wireless channel. In this work, a new microcontroller board was designed and developed with Genetic Algorithm (GA) embedded on board. The embedded GA optimization scheme was based on minimum downlink power consumption tailored for a WCDMA network that employs adaptive antennas in support of a heterogeneous user mix. The algorithm works by finding the minimum transmitter power with the help of Distributed Parallel Genetic Algorithm (DPGA) employed on an offload microcontroller system to form optimal beam coverage to reduce power usage of adaptive antenna at WCDMA base station. The power usage at Node B is used as fitness function to compare the performance of DPGA and conventional GA (cGA). Simulation results show that DPGA converges faster and is superior in power resource management and returns better teletraffic performance in system outage and capacity.

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