Abstract

This paper is concerned with allocation of base stations (BSs) by using particle swarm optimization (PSO) method. First, we introduce 1-ray and 2-rays models with two modification factors to estimate the field distribution in complicated natural environments. Two factors are an amplitude modification factor and a propagation order of distance. By using the two factors, we can calculate field distributions in complicated geometry such as random rough surface. Next we introduce a PSO method and we show the numerical convergence of the PSO method. Also we show an allocation of base stations by triangle structure based on the PSO method. In the numerical examples, we show communication distances with different peaks. Finally, we discuss the advantage of the proposed algorithm.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.