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Propagation Model Optimization based on Particles Swarm Optimization and Genetic Algorithm Cross Implementation Application to Yaoundé Town
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 15 |
| Year of Publication: 2023 |
| Authors: Deussom Djomadji Eric Michel, Kabiena Ivan Basile, Tonye Emmanuel |
10.5120/ijca2023922843
|
Deussom Djomadji Eric Michel, Kabiena Ivan Basile, Tonye Emmanuel . Propagation Model Optimization based on Particles Swarm Optimization and Genetic Algorithm Cross Implementation Application to Yaoundé Town. International Journal of Computer Applications. 185, 15 ( Jun 2023), 46-53. DOI=10.5120/ijca2023922843
Abstract
Propagation models are keys components of coverage planning. With the deployment of 4G and 5G network worldwide, operators need to plan the coverage of their network efficiently, in order to minimize deployment cost and improve the quality of service. In this paper, the standard model K factors is used to develop a method for tuning propagation models based on cross implementation of both particle swarm optimization algorithm and genetic algorithm. The data were collected on an existing CDMA2000 1X-EVDO rev B network in the town of Yaoundé, capital of Cameroon. The root mean squared error (RMSE) between actual measurements and radio data obtained from the prediction model developed is used to test and validate the proposed method. The values of the RMSE obtained by the new model and those obtained by the standard model of OKUMURA HATA in urban area are also compared. Through the comparison of statistics from optimized model and OKUMURA HATA, we can show that the method is capable to optimized propagation model and the new model has a better precision and is more accurate than standard OKUMURA HATA model. The new model is also more representative of the local environment and the proposed method can be applied anywhere to optimize existing propagation models.
References
- D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, Reading, 1989.
- M. Mitchell, An Introduction to Genetic Algorithms, MIT Press, Cambridge, MA, 1996.
- J. Kennedy, R.C. Eberhart, A Discrete Binary Version of the Particle Swarm Algorithm, 1997, pp. 4104–4108.
- J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks, Piscataway, 1995, pp.1942–1948.
- M. Clerc, J. Kennedy, The particle swarm: explosion, stability and convergence in multi-dimensional complex space, IEEE Trans. Evol. Comput. 20 (2002)1671–1676.
- Deussom Eric and Tonye Emmanuel ; New Approach for Determination of Propagation Model Adapted To an Environment Based On Genetic Algorithms: Application to the City Of Yaoundé, Cameroon ; IOSR Journal of Electrical and Electronics Engineering 10 (1), 48-59.
- Deussom Eric and Tonye Emmanuel, "New Propagation Model Optimization Approach based on Particles Swarm Optimization Algorithm," International Journal of Computer Applications, Vol 118 - Number (10), pages :39-47, May 2015.
- D. Beasley, D. Bull, R. Martin, An Overview of Genetic Algorithms. Part 2, University of Cardiff, Cardiff, 1993.
- D. Beasley, D. Bull, R. Martin, An Overview of Genetic Algorithms. Part 1, University Cardiff, Cardiff, 1993.
- B. Akay, D. Karaboga, A modified artificial bee colony algorithm for real parameter optimization, in: Information Sciences, 2012, pp. 120–142.
- D. Karaboga, An idea based on honey bee swarm for numerical optimization, in: Technical Report-TR06, 2005.
- D. Karaboga, B. Basturk, On the performance of artificial bee colony (ABC) algorithm, in: Applied Soft Computing, 2008, pp. 687–697.
- D. Karaboga, B. Akay, A comparative study of artificial bee colony algorithm, Appl. Math. Comput. 214 (2009) 108–132.
- W. Gu, M. Yin, C. Wang, Self adaptive artificial bee colony for global numerical optimization, IERI Procedia 1 (2012) 59–65.
- Behzad Javidya, Abdolreza Hatamloua, Seyedali Mirjalili ; Ions motion algorithm for solving optimization problems, Applied Soft Computing, 2015 Elsevier.
- DEUSSOM Eric, TSAGUE Beldine and Tonye Emmanuel, (2022) Propagation Model Optimization Based on Ion Motion Optimization Algorithm for Efficient Deployment of eLTE Network. Journal of Computer and Communications, 10, 171-196. doi: 10.4236/jcc.2022.1011012.
- Deussom Djomadji Eric Michel, Magoudaya David, Feudjio Cyrille and Michael Ekonde Sone. Design of an NB-IoT Smart Metering solution: Coverage and capacity planning: Case of Yaoundé and Douala. International Journal of Computer Applications 184(2):20-30, March 2022.
- Deussom Eric, Souop Koagne Gloire De Dieu , Feudjio Cyrille , Tonye Emmanuel, Michael Ekonde Sone, 2022, Social Spider Algorithm-based Approach for Propagation Model Optimization. Application to Yaounde Town, International Journal of Engineering Research & Technology (IJERT) Volume 11, Issue 01 (January 2022),
- Deussom Eric, E. Tonye and B. Kabiena, "Propagation model optimization based on Artificial Bee Colony algorithm: Application to Yaoundé town, Cameroon," IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 15, Issue 2 Ser. II (Mar – Apr 2020), PP 14-26.
- Emmanuel TONYE and Eric DEUSSOM ; Optimisation de modèles de propagation à partir des données de mesures radio de la ville de Yaoundé ; Journal of the Cameroon Academy of Sciences 12 (3), 180-205.
- Deussom Eric and Tonye Emmanuel ; Optimization of Okumura Hata Model in 800MHz based on Newton Second Order algorithm. Case of Yaoundé, Cameroon, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) 10 (2), 16-24
- Deussom Eric and Tonye Emmanuel ; Optimisation du modèle d’Okumura Hata par la régression linéaire. Application à la ville de Yaoundé au Cameroun. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE). PP 63-72.
- Deussom Djomadji, E.M., Kabiena, I.B, Fobasso, T.S. and Tonye, E. (2023) COST 231-Hata Propagation Model Optimization in 1800 MHz Band Based on Magnetic Optimization Algorithm: Application to the City of Limbé. Journal of Computer and Communications, 11, 57-74. doi: 10.4236/jcc.2023.112005.
- TONYE Emmanuel and DEUSSOM DJOMADJI Eric Michel; (2015) Optimisation de modeles de propagation à partir des données de mesure radio de la ville de Yaoundé.Conference: IUTEN2015, Douala, Cameroon. https://www.researchgate.net/publication/284283465_OPTIMISATION_DE_MODELES_DE_PROPAGATION_A_PARTIR_DES_DONNEES_DE_MESURES_RADIO_DE_LA_VILLE_DE_YAOUNDE#:~:text=Il%20s'agit%20de%20la,les%20services%203G%20et%204G.
- Eric Michel Deussom Djomadji, Ivan Basile Kabiena, Joel Thibaut Mandengue, Felix Watching and Emmanuel Tonye. (2023) Okumura Hata Propagation Model Optimization in 400 MHz Band Based on Differential Evolution Algorithm: Application to the City of Bertoua. Journal of Computer and Communications.
- Jin Yang, Xuerong Cui, Juan Li, Shibao Li, Jianhang Liu, Haihua Chen,Particle filter algorithm optimized by genetic algorithm combined with particle swarm optimization, Procedia Computer Science,Volume 187,2021,Pages 206-211,ISSN1877-0509. https://doi.org/10.1016/j.procs.2021.04.052.
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