Robust Rate-Splitting Design for Mixed Dual-Polarized Integrated Satellite-Terrestrial Networks Under Polarization Mismatch

2026-04-13

AI Summary

This work addresses the challenges of inter-network and intra-network interference arising from polarization mismatch between satellite circular polarization and terrestrial linear polarization in hybrid dual-polarized satellite-terrestrial integrated networks, along with channel depolarization and imperfect transmitter-side channel state information. To tackle these issues, the paper proposes a robust rate-splitting multiple access framework (MDP-RSMA), which extends rate-splitting multiple access to hybrid-polarization satellite-terrestrial scenarios for the first time. The framework innovatively introduces cross-network super-common messages and intra-network rate-splitting mechanisms, integrating partial interference decoding with partial interference treated-as-noise strategies. A robust precoding algorithm is developed based on weighted minimum mean square error (WMMSE) optimization. Experimental results demonstrate that the proposed method significantly improves the worst-user spectral efficiency across diverse practical scenarios, outperforming existing baseline schemes.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Mixed Discrete/Continuous Search
• Intelligent Robots: Multi-Robot Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Novel mobile and WoT systems, and system-of-systems
• Security and Privacy: Privacy-enhancing technologies
• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines

Abstract

Dual-polarized transmission offers a promising approach to improve spectral efficiency in multiantenna networks by reusing frequency and time resources across orthogonal polarization domains. Building upon this advantage, this paper investigates interference management in mixed dual-polarized integrated satellite-terrestrial networks (MDP-ISTN), comprising a circularly polarized (CP) satellite sub-network and a linearly polarized (LP) terrestrial sub-network. To this end, we employ rate-splitting multiple access (RSMA), which enables flexible non-orthogonal transmission through partial interference decoding and partial interference treating-as-noise. Specifically, to jointly mitigate both inter-network interference between the CP low Earth orbit (LEO) satellite and LP terrestrial sub-networks as well as intra-network interference within each sub-network, we propose an MDP-RSMA framework that incorporates inter-network rate-splitting (RS) with a super-common message together with intra-network RS. Moreover, we account for practical challenges in MDP-ISTN, including polarization mismatch, channel depolarization, and imperfect channel state information at the transmitter. To maximize the minimum user rate among all satellite and terrestrial users, we formulate a robust precoder optimization problem and develop a weighted minimum mean square error (WMMSE)-based algorithm tailored to the proposed MDP-RSMA. Numerical results demonstrate that the proposed scheme significantly improves the minimum user rate over several baseline schemes across diverse MDP-ISTN scenarios.

Problem

• polarization mismatch
• integrated satellite-terrestrial networks
• interference management
• dual-polarized transmission
• imperfect channel state information

Innovation

• Rate-Splitting Multiple Access (RSMA)
• Dual-Polarized Integrated Satellite-Terrestrial Networks
• Polarization Mismatch
• Robust Precoding
• Interference Management