IEEE

Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks

Abstract: In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-ground ...
IEEE

Tasks-Oriented Channel Optimization and Resource Allocation in Vehicular Networks: A Hierarchical Reinforcement Learning Based Approach

Abstract: The number of devices, data volume, and pictures and videos in the vehicular networks have all increased significantly as a result of the continued development of 6G technology, putting an ...

Stacked graphene sandwich reveals switchable memory without traditional ferroelectrics

A research team led by Professor Youngwook Kim from the Department of Physics and Chemistry, DGIST, in collaboration with the research team of Professor Gil Young Cho at KAIST, have discovered a new ...