GD4 is a graph-based discrete denoising diffusion method for MIMO detection that yields higher-quality suboptimal solutions than prior diffusion detectors and classical baselines under similar compute budgets in both under- and over-determined settings.
Diffusion models for future networks and communications: A comprehensive survey
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
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
-
GD4: Graph-based Discrete Denoising Diffusion for MIMO Detection
GD4 is a graph-based discrete denoising diffusion method for MIMO detection that yields higher-quality suboptimal solutions than prior diffusion detectors and classical baselines under similar compute budgets in both under- and over-determined settings.
-
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.