The paper introduces diffusion FAS, a DDPM-driven spatial selection method that enables generative spatial stealth (up to 100x suppression) and target isolation in object-side ISAC scenarios.
Diffusion models for wireless communications
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A survey compiling DM-enabled DRL algorithms and applications across computation offloading, UAV systems, resource allocation, security, and robotics in wireless networks.
citing papers explorer
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Diffusion Fluid Antenna Systems for Resilient ISAC
The paper introduces diffusion FAS, a DDPM-driven spatial selection method that enables generative spatial stealth (up to 100x suppression) and target isolation in object-side ISAC scenarios.
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From Denoising to Decision Making: A Survey on Diffusion Model-Enabled Deep Reinforcement Learning for Wireless Networks
A survey compiling DM-enabled DRL algorithms and applications across computation offloading, UAV systems, resource allocation, security, and robotics in wireless networks.