International Journal of Electrical and Computer Engineering (IJECE) Vol. 14, No. 2, April 2024, pp. 1654~1664 ISSN: 2088-8708, DOI: 10.11591/ijece.v14i2.pp1654-1664  1654 Journal homepage: http://ijece.iaescore.com Advanced hybrid algorithms for precise multipath channel estimation in next-generation wireless networks Kahina Rekkal 1 , Sara Rekkal 2 , Abdesselam Bassou 3 1 Department of Electrical Engineering, Faculty of Technology, Salhi Ahmed University Center, Naama, Algeria 2 Department of Computer Science, University of Badji Mokhtar, Annaba, Algeria Article Info ABSTRACT Article history: Received Aug 12, 2023 Revised Dec 5, 2023 Accepted Dec 18, 2023 Multipath channels continue to present challenges in wireless communication for both 5G and 6G networks. A multipath channel is a phenomenon in wireless communications where signals traverse from the sender to the receiver along various paths. This end occurs due to the reflection, diffraction, and refraction of signals of various objects and structures in the environment. Such pathways can cause symbol interference in the transmitted signal, leading to communication issues. To this end, our paper proposes the integration of three algorithms: teaching-learning-based optimization (TLBO), particle swarm optimization (PSO), and artificial neural networks (ANN). This combination effectively analyzes and stabilizes the transmission channel, minimizing symbol interference. We have developed, simulated, and evaluated this hybrid approach for multipath fading channels. We apply it to various coding schemes, including tail-biting convolutional code, turbo codes, low-density parity-check, and polar code. Additionally, we have explored various decoding methods such as Viterbi, maximum logarithmic maximum a posteriori, minimum sum, and cyclic redundancy check soft cancellation list. Our study encompasses new channel equalization schemes and coding gains derived from simulations and mathematical analysis. Our proposed method significantly enhances channel equalization, reducing interference and improving error correction in wireless communication systems. Keywords: Artificial neural network Channel estimation Particle swarm optimization Polar code Tail biting convolutional codes Low density parity check This is an open access article under the CC BY-SA license. Corresponding Author: Kahina Rekkal Department of Electrical Engineering, Faculty of Technology, Salhi Ahmed University Center BP- 66- Naama, Naama, Algeria Email: rekkal@yahoo.fr, rekkal@cuniv-naama.dz 1. INTRODUCTION As we delve into the ever-evolving landscape of wireless communication networks, pursuing higher data rates, enhanced reliability, and the ability to support an increasing number of services has led us beyond the realms of 5G and 6G networks [1]. This relentless march toward more advanced communication technologies has unearthed numerous opportunities and challenges, and one of the core challenges lies in dealing with multipath channels. Multipath channels are a ubiquitous feature of wireless communication, arising from the complex interplay of signals as they bounce off, diffract, and refract through various environmental obstacles and structures. The consequence of this phenomenon is the existence of multiple signal paths, each taking a distinct route from the transmitter to the receiver. This multipath propagation engenders interference between the symbols in the transmitted signal, leading to a phenomenon known as inter-symbol interference (ISI). ISI poses a significant obstacle to achieving high data transmission rates, especially in scenarios where signals are 3 Department of Electrical Engineering, Faculty of Technology, Tahri Mohammed University Bechar, Algeria