Problem
Research questions and friction points this paper is trying to address.
latent space communication
decentralized UAV swarms
bandwidth-constrained
time-varying wireless links
state collapse
AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms
🤖 AI Summary
为解决带宽受限的无人机群通信问题，提出AeroLat框架，通过注入证据和显式通信模型提高通信保真度和协调性。
📝 Abstract
Communication in latent space offers an intriguing alternative to symbolic messages for decentralized autonomous Unmanned Aerial Vehicle (UAV) swarms operating over bandwidth-constrained, time-varying wireless links. However, when homogeneous frozen models are prompted with discretized perceptual inputs, their broadcast states collapse toward the shared prompt template. In view of this, we propose AeroLat, a channel-aware latent semantic communication framework that uses evidence injection. The resulting latent states are then passed through an explicit communication model that encompasses bandwidth-limited serialization, additive noise and information staleness, which facilitates a joint assessment of communication fidelity and swarm-level coordination. Across multi-seed simulations, AeroLat provably remains resilient to codec choice, faults and increasing swarm size. It consistently reproduces the latent-swarm anomaly, while no-whitening controls recover the collapse. In particular, AeroLat is capable of reducing false similarity by 97.5%.
Innovation
Methods, ideas, or system contributions that make the work stand out.
channel-aware
latent space
semantic communication
evidence injection
UAV swarms
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