Priority-Based Load Balancing With Multi-Agent Deep Reinforcement Learning for Space-Air-Ground Integrated Network Slicing
H Tu, P Bellavista, L Zhao, G Zheng… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Space-air-ground integrated network (SAGIN) slicing has been studied for supporting
diverse applications, which consists of the terrestrial layer (TL) deployed with base stations …
diverse applications, which consists of the terrestrial layer (TL) deployed with base stations …
Digital Twin-Aided Vehicular Edge Network: A Large-Scale Model Optimization by Quantum-DRL
This paper presents an innovative large model framework for optimizing the task offloading
efficiency in vehicular edge networks, with a focus on ultra-reliable lowlatency …
efficiency in vehicular edge networks, with a focus on ultra-reliable lowlatency …
Near-field Beam Training with Sparse DFT Codebook
Extremely large-scale array (XL-array) has emerged as one promising technology to
improve the spectral efficiency and spatial resolution of future sixth generation (6G) wireless …
improve the spectral efficiency and spatial resolution of future sixth generation (6G) wireless …