Agent-driven Generative Semantic Communication for Remote Surveillance

arXiv:2404.06997v1 Announce Type: cross
Abstract: In the era of 6G, featuring compelling visions of intelligent transportation system, digital twins, remote surveillance is poised to become a ubiquitous practice. The substantial data volume and frequent updates present challenges in wireless networks. To address this, we propose a novel agent-driven generative semantic communication (A-GSC) framework based on reinforcement learning. In contrast to the existing research on semantic communication (SemCom), which mainly focuses on semantic compression or semantic sampling, we seamlessly cascade both …

abstract agent arxiv become challenges communication cs.lg cs.ni data digital digital twins framework generative intelligent intelligent transportation networks novel practice semantic surveillance transportation twins type updates wireless