Modeling Base Station Selection in Open Access Picocell Networks Using Particle Swarm Optimization
This paper studies the base station selection in open access picocell networks using Particle Swarm Optimization (PSO) algorithm. Mobile users can choose to connect either a picocell or a microcell to improve their signal quality. Modeling base station in an area gives various signal quality, wh...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/135219/1/B02%20Modeling%20Base%20Station%20Selection%20in%20Open%20Access%20Picocell%20Networks%20Using%20Particle%20Swarm%20Optimization.pdf |
| Summary: | This paper studies the base station selection in open
access picocell networks using Particle Swarm Optimization
(PSO) algorithm. Mobile users can choose to connect either a
picocell or a microcell to improve their signal quality. Modeling
base station in an area gives various signal quality, which depends
on the distance between mobile user and base station. The problem
can be formulated as to select the shortest link from the mobile
users to many base stations at different distances. Modification of
PSO algorithm provides the selection of base stations through the
calculations to find the signal power from a mobile user to a base
station in term of signal to noise ratio (SNR). The simulation
results show that PSO can estimate the best position of base station
through the selection based on the distance and the quality of
signal power. Indicator of base station selection uses the value of
RMSE and coefficient of the standard error. This value
determines the quality of precision, accuracy and trueness.
Keywords— pso; picocell; microcell; base station |
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