Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation

Fuente: arXiv
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Hauptverfasser: Qiao, Li, Mashhadi, Mahdi Boloursaz, Gao, Zhen, Gündüz, Deniz
Format: Preprint
Veröffentlicht: 2025
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author Qiao, Li
Mashhadi, Mahdi Boloursaz
Gao, Zhen
Gündüz, Deniz
author_facet Qiao, Li
Mashhadi, Mahdi Boloursaz
Gao, Zhen
Gündüz, Deniz
contents Token communications is an emerging generative semantic communication concept that reduces transmission rates by using context and transformer-based token processing, with tokens serving as universal semantic units. In this paper, we propose a semantic multiple access scheme in the token domain, referred to as ToDMA, where a large number of devices share a tokenizer and a modulation codebook for source and channel coding, respectively. Specifically, the source signal is tokenized into sequences, with each token modulated into a codeword. Codewords from multiple devices are transmitted simultaneously, resulting in overlap at the receiver. The receiver detects the transmitted tokens, assigns them to their respective sources, and mitigates token collisions by leveraging context and semantic orthogonality across the devices' messages. Simulations demonstrate that the proposed ToDMA framework outperforms context-unaware orthogonal and non-orthogonal communication methods in image transmission tasks, achieving lower latency and better image quality.
format Preprint
id arxiv_https___arxiv_org_abs_2502_06118
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation
Qiao, Li
Mashhadi, Mahdi Boloursaz
Gao, Zhen
Gündüz, Deniz
Information Theory
Signal Processing
Token communications is an emerging generative semantic communication concept that reduces transmission rates by using context and transformer-based token processing, with tokens serving as universal semantic units. In this paper, we propose a semantic multiple access scheme in the token domain, referred to as ToDMA, where a large number of devices share a tokenizer and a modulation codebook for source and channel coding, respectively. Specifically, the source signal is tokenized into sequences, with each token modulated into a codeword. Codewords from multiple devices are transmitted simultaneously, resulting in overlap at the receiver. The receiver detects the transmitted tokens, assigns them to their respective sources, and mitigates token collisions by leveraging context and semantic orthogonality across the devices' messages. Simulations demonstrate that the proposed ToDMA framework outperforms context-unaware orthogonal and non-orthogonal communication methods in image transmission tasks, achieving lower latency and better image quality.
title Token-Domain Multiple Access: Exploiting Semantic Orthogonality for Collision Mitigation
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2502.06118