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<p>This paper presents a method of pilot allocation based on Enhanced Shuffled Frog Leaping Algorithm (ESFLA) for channel estimation optimization in high-mobility and large-scale MIMO-OFDM systems. Building upon channel sparsity, the algorithmic method of ESFLA will reduce pilot overhead while also increasing the accuracy compared to current approaches like ISLFA, RLPA, and DLPA. Simulation results show that ESFLA outperforms others in minimizing BER and MSE for a wide range of SNRs with robust recovery guarantees. Despite its high computational complexity, the ability of ESFLA to significantly enhance channel estimation makes it an attractive candidate for next-generation wireless communication systems.</p>

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Enhanced pilot allocation in MIMO-OFDM systems using the enhanced shuffled frog leaping algorithm

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  • 发表日期：

    2025年2月24日

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  • Harjeet Singh

摘要

This paper presents a method of pilot allocation based on Enhanced Shuffled Frog Leaping Algorithm (ESFLA) for channel estimation optimization in high-mobility and large-scale MIMO-OFDM systems. Building upon channel sparsity, the algorithmic method of ESFLA will reduce pilot overhead while also increasing the accuracy compared to current approaches like ISLFA, RLPA, and DLPA. Simulation results show that ESFLA outperforms others in minimizing BER and MSE for a wide range of SNRs with robust recovery guarantees. Despite its high computational complexity, the ability of ESFLA to significantly enhance channel estimation makes it an attractive candidate for next-generation wireless communication systems.