Signal Processing Techniques for Enhanced Wireless Network Performance

With increasing complexity and data rates of wireless communication networks, an effective signal processing technique is significantly required. Memoryless predistortion techniques undoubtedly help to minimise nonlinear distortions in RF power amplifiers. This is so because they guarantee high amplifier output. Methodology: This paper presents a new multichannel wireless signal processing technique to give wireless communication systems memoryless predistortion. The predistortion approach is efficiently applied over numerous channels using wireless signal processing resources. This method lets run in real time with minimum unnecessary hardware overhead. Findings: The experiments reveal that the method based on wireless signal processing is an effective approach for correcting for nonlinear distortions developing in RF power amplifiers.

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Published
2024-11-28
DOI
https://doi.org/10.1109/icaiccit64383.2024.10912227
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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Signal Processing Techniques for Enhanced Wireless Network Performance

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Energy Efficient Wireless Sensor Networks
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Signal Processing Techniques for Enhanced Wireless Network Performance

M.P. Haripriya, Jason Elroy Martis, Dinesh Babu Munuswamy, S. Vijayalakshmi, G. Nirmala, Mohammed Rizwan Shaik
article en

Abstract

With increasing complexity and data rates of wireless communication networks, an effective signal processing technique is significantly required. Memoryless predistortion techniques undoubtedly help to minimise nonlinear distortions in RF power amplifiers. This is so because they guarantee high amplifier output. Methodology: This paper presents a new multichannel wireless signal processing technique to give wireless communication systems memoryless predistortion. The predistortion approach is efficiently applied over numerous channels using wireless signal processing resources. This method lets run in real time with minimum unnecessary hardware overhead. Findings: The experiments reveal that the method based on wireless signal processing is an effective approach for correcting for nonlinear distortions developing in RF power amplifiers.

Nitte University (IN), R.M.D. Engineering College, Jazan University (SA)
Affordable and clean energy
Openalex Percentile: Top 66%
Energy Efficient Wireless Sensor Networks
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