Cellular network capacity and coverage enhancement with MDT data and deep reinforcement learning
Recent years witnessed a remarkable increase in the availability of data and computing
resources in communication networks. This contributed to the rise of data-driven over model …
resources in communication networks. This contributed to the rise of data-driven over model …
Fine-Grained Load Balancing with Multi-Agent Reinforcement Learning for Self-Organizing Networks
Reinforcement learning (RL) has gained attention as a practical alternative to traditional
approaches for mobility load balancing (MLB) in self-organizing networks (SON). However …
approaches for mobility load balancing (MLB) in self-organizing networks (SON). However …
An Ensemble Optimization Algorithm Based on MADDPG
R Zhou - ISCTT 2022; 7th International Conference on …, 2022 - ieeexplore.ieee.org
Multi-agent Deep Deterministic Policy Gradient (MADDPG) is a multi-agent deep
reinforcement learning algorithm, and it has been published for more than 4 years. It has …
reinforcement learning algorithm, and it has been published for more than 4 years. It has …