Enhancement OFDM Performance and Efficiency in Mobile Wireless Communications Using Neural Networks

Orthogonal Frequency Division Multiplexing (OFDM) is a key technology in modern mobile wireless communications, known for its robustness against multipath fading. Enhancing OFDM performance using neural networks offers adaptive solutions to improve signal quality and system efficiency in dynamic environments. OFDM, widely used in 4G and 5G, faces challenges like high PAPR, inaccurate channel estimation, and inter-carrier interference that degrade performance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-09
DOI
https://doi.org/10.5281/zenodo.17084535
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancement OFDM Performance and Efficiency in Mobile Wireless Communications Using Neural Networks

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Enhancement OFDM Performance and Efficiency in Mobile Wireless Communications Using Neural Networks

article en

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a key technology in modern mobile wireless communications, known for its robustness against multipath fading. Enhancing OFDM performance using neural networks offers adaptive solutions to improve signal quality and system efficiency in dynamic environments. OFDM, widely used in 4G and 5G, faces challenges like high PAPR, inaccurate channel estimation, and inter-carrier interference that degrade performance.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 48%
Geochemistry and Geologic Mapping
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Enhancement OFDM Performance and Efficiency in Mobile Wireless Communications Using Neural Networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS