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.
Authors
- Mustafa Alshawaqfeh (ORCID: https://orcid.org/0000-0003-2170-6830)
- Osamah S. Badarneh (ORCID: https://orcid.org/0000-0002-2540-3143)
- Yazan H. Al-Badarneh (ORCID: https://orcid.org/0000-0002-2399-1703)
- Mazen O. Hasna (ORCID: https://orcid.org/0000-0002-3088-6899)
- Mohammad Taghi Dabiri (ORCID: https://orcid.org/0000-0002-3322-2297)
Institutions
- University of Jordan (JO)
- German Jordanian University (JO)
- Qatar University (QA)
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