Ternary Noise Modulation

[2604.15139] Ternary Noise Modulation Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Electrical Engineering and Systems Science > Signal Processing arXiv:2604.15139 (eess) [Submitted on 16 Apr 2026 ( v1 ), last revised 15 Aug 2026 (this version, v2)] Title: Ternary Noise Modulation Authors: Ata Bilgin , Erkin Yapıcı , Yusuf İslam Tek , Ertuğrul Başar View a PDF of the paper titled Ternary Noise Modulation, by Ata Bilgin and 3 other authors View PDF HTML (experimental) Abstract: By exploiting noise as an information-bearing re source, noise-driven communication offers a promising frame work for low-complexity wireless system design. In this letter, the scheme of ternary noise modulation (T-NoiseMod) is proposed for noise-based wireless communication scenarios, where infor mation is encoded into the statistical characteristics of artificial noise. Unlike conventional binary NoiseMod, which employs two variance levels, the proposed scheme introduces a third transmission state: intentional silence. By pairing two consecutive noise blocks, the signaling scheme is expanded to eight valid state combinations, enabling the transmission of three information bits per signaling interval. In our proposed scheme, the two stage receiver is developed, consisting of mean-based silent-state detection followed by variance-based low/high classification. An approximate analytical expression for the bit error probability (BEP) is derived for Rayleigh fading. Our computer simulation results match closely with our approximate theoretical results and show the effects of key system parameters. Furthermore, comparisons with binary NoiseMod, Q-NoiseMod, and OODN demonstrate the inherent trade-off between reliability and rate. Comments: 5 pages, 3 figures. Published in IEEE Wireless Communications Letters Subjects: Signal Processing (eess.SP) Cite as: arXiv:2604.15139 [eess.SP] (or arXiv:2604.15139v2 [eess.SP] for this version) https://doi.org/10.48550/arXiv.2604.15139 Focus to learn more arXiv-issued DOI via DataCite Journal reference: IEEE Wireless Communications Letters, 2026 Related DOI : https://doi.org/10.1109/LWC.2026.3720820 Focus to learn more DOI(s) linking to related resources Submission history From: Ata Bilgin [ view email ] [v1] Thu, 16 Apr 2026 15:17:19 UTC (292 KB) [v2] Sat, 15 Aug 2026 10:26:49 UTC (292 KB) Full-text links: Access Paper: View a PDF of the paper titled Ternary Noise Modulation, by Ata Bilgin and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: eess.SP < prev | next > new | recent | 2026-04 Change to browse by: eess References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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