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arXiv · 2503.23734

Semantic Packet Aggregation and Repeated Transmission for Text-to-Image Generation

Seunghun Lee·Jihong Park·Jinho Choi·Hyuncheol Park
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Abstract

Text-based communication is expected to be prevalent in 6G applications such as wireless AI-generated content (AIGC). Motivated by this, this paper addresses the challenges of transmitting text prompts over erasure channels for a text-to-image AIGC task by developing the semantic segmentation and repeated transmission (SMART) algorithm. SMART groups words in text prompts into packets, prioritizing the task-specific significance of semantics within these packets, and optimizes the number of repeated transmissions. Simulation results show that SMART achieves higher similarities in received texts and generated images compared to a character-level packetization baseline, while reducing computing latency by orders of magnitude compared to an exhaustive search baseline.

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Seunghun Lee, Jihong Park, Jinho Choi, Hyuncheol Park. 2025-03-31. Semantic Packet Aggregation and Repeated Transmission for Text-to-Image Generation. https://arxiv.org/abs/2503.23734

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