Radio Network Optimization in the Inhomogeneous Traffic Distribution Using Genetic Algorithm 


Vol. 27,  No. 2, pp. 137-144, Feb.  2002


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  Abstract

In this paper, we optimize the base station placement and transmission power using genetic approach. A new representation describing base station placement and transmit power with real number is proposed, and new genetic operators arc introduced. This new representation can describe the locations, powers, and number of base stations. Considering coverage, power and economy efficiency, we also suggest a weighted objective function. Our algorithm is applied to an obvious optimization problem, and then it is verified. Moreover, our approach is tried in inhomogencous traffic distribution. Simulation result proves that the algorithm enables to find near optimal solution according to the weighted objective function.

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  Cite this article

[IEEE Style]

B. Park, J. Han, Y. Choi, M. Cho, H. Park, "Radio Network Optimization in the Inhomogeneous Traffic Distribution Using Genetic Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 2, pp. 137-144, 2002. DOI: .

[ACM Style]

Byoung-Seong Park, Jin-Kyu Han, Yong-Seouk Choi, Min-Kyoung Cho, and Han-Kyu Park. 2002. Radio Network Optimization in the Inhomogeneous Traffic Distribution Using Genetic Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 27, 2, (2002), 137-144. DOI: .

[KICS Style]

Byoung-Seong Park, Jin-Kyu Han, Yong-Seouk Choi, Min-Kyoung Cho, Han-Kyu Park, "Radio Network Optimization in the Inhomogeneous Traffic Distribution Using Genetic Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 2, pp. 137-144, 2. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880