This paper introduces Queue-Aware TokenCom, a new framework that integrates AI representation generation with wireless transmission for edge intelligence. It addresses the limitation of existing systems that assume immediate token transmission by incorporating queueing dynamics. The proposed architecture optimizes token representation and service based on a token budget, aiming to improve communication efficiency and AI performance in dynamic wireless environments. AI
IMPACT This research could enhance the efficiency of AI services in wireless networks, particularly for edge intelligence applications.
RANK_REASON The item is an academic paper detailing a new framework and architecture for AI representation and wireless transmission. [lever_c_demoted from research: ic=1 ai=1.0]
- AI Performance Based On Learning-Data Labeling Accuracy
- Communication efficiency
- edge intelligence
- foundation model
- Queue-Aware TokenCom
- TokenCom
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