A Token/KV-Cache Communication Media Selection and Resource Allocation Strategy for Multi-Agent Collaboration
The convergence of large language models (LLMs) with 6G networks is fostering a paradigm of autonomous multi-agent cooperation, which in turn is expected to substantially increase east-west traffic. Although latent-space interaction mechanisms can enable more efficient collaboration than symbolic natural-language (NL) exchanges, prior work often abstracts away the associated communication overhead under practical wireless constraints. In embodied multi-agent settings, heterogeneous interaction media incur disparate inference and transmission costs, thereby inducing an inherent end-to-end (E2E) latency trade-off. To address this, we propose a joint design that integrates communication-medi...
| Authors | Lipeng Dai, Luping Xiang, Kun Yang |
|---|---|
| Primary category | eess.SP |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
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