Gradient Descent-based Optimal Sequence Design for Primary Synchronization Signal

This paper proposes a novel approach to designing Primary Synchronization Signal (PSS) sequences for next-generation mobile communication systems. The proposed scheme formulates the PSS sequence design as an optimization problem, minimizing a cost function that captures the desired properties and requirements of PSS sequences. A gradient descent algorithm is employed to iteratively update the sequences, leading to optimized PSS sequences with superior synchronization performance compared to 5G New Radio (NR) PSS sequences. The proposed method offers a versatile and adaptable approach to designing synchronization sequences tailored to specific system requirements, making it a promising solution for 6G and future wireless networks.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757925
Citations
3
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.98
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article

Gradient Descent-based Optimal Sequence Design for Primary Synchronization Signal

Woncheol Cho, Jin Kyeong Kim, Hee-Soo Lee, Byung-Jae Kwak et al.
3 citations
Advanced Algorithms and Applications
0.98
article

Gradient Descent-based Optimal Sequence Design for Primary Synchronization Signal

Woncheol Cho, Jin Kyeong Kim, Hee-Soo Lee, Byung-Jae Kwak, Young Jo Ko
article en
3 citations

Abstract

This paper proposes a novel approach to designing Primary Synchronization Signal (PSS) sequences for next-generation mobile communication systems. The proposed scheme formulates the PSS sequence design as an optimization problem, minimizing a cost function that captures the desired properties and requirements of PSS sequences. A gradient descent algorithm is employed to iteratively update the sequences, leading to optimized PSS sequences with superior synchronization performance compared to 5G New Radio (NR) PSS sequences. The proposed method offers a versatile and adaptable approach to designing synchronization sequences tailored to specific system requirements, making it a promising solution for 6G and future wireless networks.

Electronics and Telecommunications Research Institute (KR)
Climate action
Openalex Percentile: Top 22%
Advanced Algorithms and Applications
0.98
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Gradient Descent-based Optimal Sequence Design for Primary Synchronization Signal — Woncheol Cho, Jin Kyeong Kim, et al. · (2024) | TGRS Research Map | TGRS