An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction

Next location prediction is a discipline that involves predicting a users next location. Its applications include resource allocation, quality of service, energy efficiency, and traffic management. This paper proposes an energy-efficient, small, and low parameter machine learning (ML) architecture for accurate next location prediction, deployable on modest base stations and edge devices. To accomplish this we ran a hundred hyperparameter experiments on the full human mobility patterns of an entire city, to determine an exact ML architecture that reached a …

applications architecture cs.ai cs.lg efficiency energy energy efficiency location low machine machine learning management next paper prediction quality service small traffic traffic management