We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

Ultra-dense deployments in 5G, the next generation of cellular networks, are an alternative
to provide ultra-high throughput by bringing the users closer to the base stations. On the …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

Ultra-dense deployments in 5G, the next generation of cellular networks, are an alternative
to provide ultra-high throughput by bringing the users closer to the base stations. On the …

We propose a reinforcement learning based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …