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arXiv · 2601.00381

Semantic Transmission Framework in Direct Satellite Communications

Chong Huang·Xuyang Chen·Jingjing Cui·Jingfu Li·Pei Xiao·Gaojie Chen·Rahim Tafazolli
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Abstract

Insufficient link budget has become a bottleneck problem for direct access in current satellite communications. In this paper, we develop a semantic transmission framework for direct satellite communications as an effective and viable solution to tackle this problem. To measure the tradeoffs between communication, computation, and generation quality, we introduce a semantic efficiency metric with optimized weights. The optimization aims to maximize the average semantic efficiency metric by jointly optimizing transmission mode selection, satellite-user association, ISL task migration, denoising steps, and adaptive weights, which is a complex nonlinear integer programming problem. To maximize the average semantic efficiency metric, we propose a decision-assisted REINFORCE++ algorithm that utilizes feasibility-aware action space and a critic-free stabilized policy update. Numerical results show that the proposed algorithm achieves higher semantic efficiency than baselines.

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Chong Huang, Xuyang Chen, Jingjing Cui, Jingfu Li, Pei Xiao, Gaojie Chen, Rahim Tafazolli. 2026-01-01. Semantic Transmission Framework in Direct Satellite Communications. https://arxiv.org/abs/2601.00381

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