Next-generation wireless networks, often called 6G networks, will need to simultaneously connect billions of devices: smartphones, industrial sensors, autonomous vehicles, and connected objects in smart cities. Effectively managing this level of complexity far exceeds the capabilities of traditional optimization methods. It is in this context that reinforcement learning (RL) emerges as a promising solution.
Next-generation wireless networks, often called 6G networks, will need to simultaneously connect billions of devices: smartphones, industrial sensors, autonomous vehicles, and connected objects in smart cities. Effectively managing this level of complexity far exceeds the capabilities of traditional optimization methods. It is in this context that reinforcement learning (RL) emerges as a promising solution.