Molecule Mixture Detection and Design for MC Systems with Non-linear, Cross-reactive Receiver Arrays

2026-02-26

AI Summary

This work addresses the gap between theory and practice in molecular communication, where existing studies often assume linear, highly specific receivers, whereas real-world sensors—such as metal-oxide-semiconductor devices—exhibit nonlinear and cross-sensitive responses. Focusing on airborne molecular communication systems, the paper proposes a hybrid molecular modulation and detection framework tailored to nonlinear, cross-sensitive receiver arrays. The approach models the reception process via the unscented transform, constructs an approximate maximum-likelihood symbol detector using first- and second-order statistical moments, and designs a hybrid molecular alphabet adapted to receiver characteristics. By further incorporating intersymbol interference (ISI) statistics, the framework enables high-rate sequence detection and low-power adaptive transmission. Simulations demonstrate that the proposed method significantly enhances communication reliability on both real and synthetic sensor data, exhibiting strong robustness against ISI and emission noise.

Technology Category

• Multiagent Systems: Agent Communication
• Search and Optimization: Mixed Discrete/Continuous Search
• Machine Learning: Mixture of Experts (MoE)

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications
• Security and Privacy: Large-scale security measurements
• Semantics and Knowledge: Methods, algorithms and applications for the development of semantic models, knowledge graphs and other forms of structured data models with machine-interpretable semantics

Abstract

Air-based molecular communication (MC) has the potential to be one of the first MC systems to be deployed in real-world applications, enabled by commercially available sensors. However, these sensors usually exhibit non-linear and cross-reactive behavior, contrary to the idealizing assumption of linear and perfectly molecule type-specific sensing often made in the MC literature. To address this mismatch, we propose several detectors and transmission schemes for a molecule mixture communication system where the receiver (RX) employs non-linear, cross-reactive sensors. All proposed schemes are based on the first- and second-order moments of the symbol likelihoods that are fed through the non-linear RX using the Unscented Transform. In particular, we propose an approximate maximum likelihood (AML) symbol-by-symbol detector for inter-symbol-interference (ISI)-free transmission scenarios and a complementary mixture alphabet design algorithm which accounts for the RX characteristics. When significant ISI is present at high data rates, the AML detector can be adapted to exploit statistical ISI knowledge. Additionally, we propose a sequence detector which combines information from multiple symbol intervals. For settings where sequence detection is not possible due to extremely limited computational power at the RX, we propose an adaptive transmission scheme which can be combined with symbol-by-symbol detection. Using computer simulations, we validate all proposed detectors and algorithms based on the responses of commercially available sensors as well as artificially generated sensor data incorporating the characteristics of metal-oxide semiconductor sensors. By employing a general system model that accounts for transmitter noise, ISI, and general non-linear, cross-reactive RX arrays, this work enables reliable communication for a large class of MC systems.

Problem

• molecular communication
• non-linear sensors
• cross-reactive sensors
• molecule mixture detection
• receiver design

Innovation

• non-linear cross-reactive sensing
• Unscented Transform
• approximate maximum likelihood detection
• mixture alphabet design
• adaptive transmission scheme