Frequency Plan Optimization Based on Genetic Algorithms for Cellular Networks
Abstract
Cellular networks are constantly evolving to ensure a better Quality of Service (QoS) and quality of coverage ever more important. The radio cellular systems are based on frequency allocation. In this context, frequency allocation principle consists in choosing an optimal frequency plan to meet traffic demand constraints and communication quality while minimizing the radio interferences. This paper proposes an optimal frequency allocation approach based on genetic algorithms to minimize co-channel and adjacent channel interference. The validation of this new approach is confirmed by the results of the work we have done in the GSM network. In fact, we used the file obtained by the OMC-R, which defines the adjacent cells of each cell and the frequencies allocated to the considered area. The results obtained clearly show the effectiveness and robustness of the approach used.
Keywords
Cellular networks, Radio optimization, Frequency allocation, Radio interference, Genetic algorithms, Drive test
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
H. Megnafi, "Frequency Plan Optimization Based on Genetic Algorithms for Cellular Networks," in Journal of Communications Software and Systems, vol. 16, no. 3, pp. 217-223, July 2020, doi: 10.24138/jcomss.v16i3.1012
@article{megnafi2020frequencyplan,
author = {Hicham Megnafi},
title = {Frequency Plan Optimization Based on Genetic Algorithms for Cellular Networks},
journal = {Journal of Communications Software and Systems},
month = {7},
year = {2020},
volume = {16},
number = {3},
pages = {217--223},
doi = {10.24138/jcomss.v16i3.1012},
url = {https://doi.org/10.24138/jcomss.v16i3.1012}
}