Forecaster-aided User Association and Load Balancing in Multi-band Mobile Networks

no code implementations • 23 Jan 2023 • Manan Gupta, Sandeep Chinchali, Paul Varkey, Jeffrey G. Andrews

Cellular networks are becoming increasingly heterogeneous with higher base station (BS) densities and ever more frequency bands, making BS selection and band assignment key decisions in terms of rate and coverage.

Model Predictive Control Reinforcement Learning (RL)

Optimizing Coverage and Capacity in Cellular Networks using Machine Learning

no code implementations • 22 Oct 2020 • Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath

Wireless cellular networks have many parameters that are normally tuned upon deployment and re-tuned as the network changes.

Bayesian Optimization BIG-bench Machine Learning +1