Context-Aware Wireless Token Communication via Joint Token Masking and Detection
The increasing use of token-based representations in language-driven applications has motivated wireless token communication, where tokens are treated as fundamental units for transmission. However, conventional communication systems overlook dependencies among tokens and allocate transmission resources uniformly, leading to inefficient use of limited wireless resources under channel impairments. In this paper, we propose a context-aware token communication framework that leverages a masked language model (MLM) as a shared contextual model between the transmitter (Tx) and receiver (Rx). At the Rx, we develop a context-aware token detection method that integrates channel likelihoods with M...
| Authors | Junyong Shin, Joohyuk Park, Yongjeong Oh et al. |
|---|---|
| Primary category | eess.SP |
| Published | 4 May 2026 |
| Last updated at source | 4 May 2026 |
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