Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework with Hybrid Action Space
The paper proposes a Reinforcement Learning based agent that controls three KPIs of the
mobile network to reach a maximized sum throughput of the newtork, such that the number …
mobile network to reach a maximized sum throughput of the newtork, such that the number …
Intelligence-learning driven resource allocation for B5G Ultra-Dense Networks: A structured literature review
Network densification is a suitable solution to improve the capacity of future mobile
networks. However, deploying massive low-power base stations sharing the radio spectrum …
networks. However, deploying massive low-power base stations sharing the radio spectrum …