Abstract
This letter introduces channel-adaptive secure noise modulation (CAS-NoiseMod), a novel physical layer security (PLS) scheme for future Internet of Things (IoT) networks. Our approach combines noise modulation with channel-adaptive pre-scaling, where information bits are encoded through variance power switching of Gaussian waveforms and signals are scaled by the magnitude of the channel between legitimate partners before transmission. This creates an asymmetric advantage where the legitimate receivers benefit from knowledge of pre-scaling and reciprocal channels, while eavesdroppers experience unintelligible noise signals. Theoretical bit error probability (BEP) expressions are derived for the proposed scheme under Rayleigh fading. Our analysis reveals that secure communication is possible with eavesdroppers exhibiting near-random guessing performance, making CAS-NoiseMod suitable for secure IoT networks.
| Original language | English |
|---|---|
| Pages (from-to) | 2244-2248 |
| Number of pages | 5 |
| Journal | IEEE Wireless Communications Letters |
| Volume | 15 |
| DOIs | |
| Publication status | Published - 2026 |
| Publication type | A1 Journal article-refereed |
Funding
This work was supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) through 1515 Frontier Research and Development Laboratories Support Program for the Turk Telekom 6G Research and Development Laboratory under Project 5249902 and Grant 124E146. The associate editor coordinating the review of this article and approving it for publication was X. Liu.
Keywords
- bit error rate
- Gaussian distribution
- NoiseMod
- Physical layer security
- wireless channel
- wireless security
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
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