5 papers · 1 filter
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
Fei Song, Zhe Wang, Jun Li +3
In ultra-dense unmanned aerial vehicle (UAV) networks, it is challenging to coordinate the resource allocation and interference management among large-scale UAVs, for providing fle…
Content Caching-Assisted Vehicular Edge Computing Using Multi-Agent Graph Attention Reinforcement Learning
Jinjin Shen, Yan Lin, Yijin Zhang +3
In order to avoid repeated task offloading and realize the reuse of popular task computing results, we construct a novel content caching-assisted vehicular edge computing (VEC) fra…
Deep Transfer Learning-based Detection for Flash Memory Channels
Zhen Mei, Kui Cai, Long Shi +3
The NAND flash memory channel is corrupted by different types of noises, such as the data retention noise and the wear-out noise, which lead to unknown channel offset and make the…
Quantization Design for Resistive Memories With Multiple Reads
Zhen Mei, Kui Cai, Long Shi +1
Due to the crossbar array architecture, the sneak-path problem severely degrades the data integrity in the resistive random access memory (ReRAM). In this letter, we investigate th…
Decision Transformer for IRS-Assisted Systems with Diffusion-Driven Generative Channels
Jie Zhang, Jun Li, Zhe Wang +3
In this paper, we propose a novel diffusion-decision transformer (D2T) architecture to optimize the beamforming strategies for intelligent reflecting surface (IRS)-assisted multipl…