RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens

2025-06-06

AI Summary

This work investigates RSMA-enabled multi-user MISO covert communication in the presence of spatially randomly distributed passive wardens (modeled as a homogeneous Poisson point process) and imperfect channel state information (CSI) at the transmitter. A stochastic geometry-based framework is proposed to model covertness—marking the first integration of Rate-Splitting Multiple Access (RSMA) into covert communications. Closed-form expressions are derived for the effective covert throughput (ECT), coverage probability, and outage probability under the √n covertness constraint. An alternating optimization-assisted genetic algorithm (AO-GA) is designed to jointly optimize power allocation and rate-splitting strategies. Simulation results demonstrate that RSMA improves ECT by up to 37% over OMA and NOMA baselines; AO-GA exhibits stable convergence and near-optimal performance.

Technology Category

• Search and Optimization: Mixed Discrete/Continuous Search
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Multiagent Systems: Agent Communication

Application Category

• Security and Privacy: Large-scale security measurements
• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments

Abstract

This work investigates covert communication in a rate-splitting multiple access (RSMA)-based multi-user multiple-input single-output system, where the random locations of the wardens follow a homogeneous Poisson point process. To demonstrate practical deployment scenarios, imperfect channel state information at the transmitter is considered. Closed-form expressions for the statistics of the received signal-to-interference-plus-noise ratio, along with the analytical formulations for the covertness constraint, outage probability, and effective covert throughput (ECT), are derived. Subsequently, an ECT maximization problem is formulated under covertness and power allocation constraints. This optimization problem is addressed using an alternating optimization-assisted genetic algorithm (AO-GA). Simulation results corroborate the theoretical analysis and demonstrate the superiority of RSMA over conventional multiple access schemes, as well as the effectiveness of the proposed AO-GA.

Problem

• Covert communication in RSMA-based multi-user systems with random wardens
• Maximizing effective covert throughput under covertness and power constraints
• Performance comparison of RSMA versus conventional multiple access schemes

Innovation

• RSMA-based covert communication system
• Alternating optimization-assisted genetic algorithm
• Effective covert throughput maximization