Thermal Noise Modulation: Optimal Detection and Performance Analysis

In this letter, we investigate the performance of a wireless communication system based on thermal noise modulation (TNM). In this system, the information is encoded in the variance of the thermal noise, enabling highly efficient low-power transmission. To assess the performance of the TNM scheme, we derive an exact closed-form expression for the bit error probability (BEP) using the maximum likelihood (ML) detector. Additionally, we provide a simple expression for calculating the optimal threshold value for the ML detector. To validate our findings, we evaluate the derived BEP and support it with Monte-Carlo simulation results.

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Publication Details

Journal
IEEE Communications Letters
Published
2024-10-07
DOI
https://doi.org/10.1109/lcomm.2024.3475747
Citations
11
Primary Topic
Induction Heating and Inverter Technology
Type
article
Field-Weighted Citation Impact
2.34
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article

Thermal Noise Modulation: Optimal Detection and Performance Analysis

Mustafa Alshawaqfeh, Osamah S. Badarneh, Yazan H. Al-Badarneh, Mazen O. Hasna et al.
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IEEE Communications Letters
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article

Thermal Noise Modulation: Optimal Detection and Performance Analysis

Mustafa Alshawaqfeh, Osamah S. Badarneh, Yazan H. Al-Badarneh, Mazen O. Hasna, Mohammad Taghi Dabiri
article en
11 citations

Abstract

In this letter, we investigate the performance of a wireless communication system based on thermal noise modulation (TNM). In this system, the information is encoded in the variance of the thermal noise, enabling highly efficient low-power transmission. To assess the performance of the TNM scheme, we derive an exact closed-form expression for the bit error probability (BEP) using the maximum likelihood (ML) detector. Additionally, we provide a simple expression for calculating the optimal threshold value for the ML detector. To validate our findings, we evaluate the derived BEP and support it with Monte-Carlo simulation results.

IEEE Communications LettersVol. 28(12)
University of Jordan (JO), German Jordanian University (JO), Qatar University (QA)
Affordable and clean energy
Openalex Percentile: Top 12%
Induction Heating and Inverter Technology
2.34
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