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Intelligent Empirical Model for Interference Mitigation in 5G Mobile Network at Sub-6 GHz Transmission Frequency

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Abstract

The quality of the signal received at any location in communication channel depends on the degree of losses and attenuation experience along its path. The existing models are not suitable for 5G network propagation due to heavy channel interference and signal loss applicable at millimeter wave (mmWave) spectrum. The issues of Path Loss (PL) and signal interference in 5G New Radio (NR) network needs special attention. It is expected that 5G NR and 4G LTE-A networks will coexist for a very long time using the existing infrastructure. Hence, it is important to develop a good model to mitigate signal attenuation and co-channel interference that comes with the deployment of the 5G NR network. The existing models and measured data were compared to find out the closest model to the measured value. This paper proposed a modify Okumura-Hata (Ok-Hata) model for signal propagation in new 5G network. Also, an improved Autoregressive Particle Swarm Intelligent (APSI) algorithm was presented to enhance the proposed model for better performance. The modified Ok-Hata model outperformed all the existing models. The modified model has the potential to mitigate the effect of interference in 5G NR at 3.5 GHz frequency. The proposed new model has the capacity to solve some network issues such as; path loss, co-channel interference in 5G network. The result shows that there was no signal interference between the existing, and modified models. The result also shows that enhanced APSI is suitable for 5G NR network planning in Abuja, Nigeria.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Federal University of Technology, Owerri, Nigeria

    Akinyinka Olukunle Akande & Cosmas Kemdirim Agubor

  2. Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomosho, Nigeria

    Folasade Abiola Semire & Zachaeus Kayode Adeyemo

  3. Department of Electronic and Electrical Engineering, The First Technical University, Ibadan, Nigeria

    Olusola Kunle Akinde

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  1. Akinyinka Olukunle Akande
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Akande, A.O., Agubor, C.K., Semire, F.A. et al. Intelligent Empirical Model for Interference Mitigation in 5G Mobile Network at Sub-6 GHz Transmission Frequency. Int J Wireless Inf Networks 30, 287–305 (2023). https://doi.org/10.1007/s10776-023-00603-z

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