Power Control Based on Multi-Agent Deep Q Network for D2D Communication

Documenti analoghi

• Applications of Multi-Agent Deep Reinforcement Learning Communication in Network Management: A Survey
  di: Pi, Yue, et al.
  Pubblicazione: (2024)
• Fair AI-STA for Legacy Wi-Fi: Enhancing Sensing and Power Management with Deep Q-Learning
  di: Yi, Peini, et al.
  Pubblicazione: (2024)
• Hybrid Centralized-Distributed Resource Allocation Based on Deep Reinforcement Learning for Cooperative D2D Communications
  di: Yu, Yang, et al.
  Pubblicazione: (2024)
• Symbol-Synchronous Communication for Ultra-Low-Power Multi-Hop Ambient IoT Networks
  di: Liu, Xinlei, et al.
  Pubblicazione: (2026)
• Stochastic Geometry of Cylinders: Characterizing Inter-Nodal Distances for 3D UAV Networks
  di: Jiang, Yunfeng, et al.
  Pubblicazione: (2025)