01339nas a2200145   4500008004100000245006600041210006400107520079800171100002000969700002400989700002201013700002601035700002101061856011101082       2022                        eng d00aA Machine Learning Approach to User Assignment in 5G Networks0 aMachine Learning Approach to User Assignment in 5G Networks3 aWith the advancement of wireless networks the data needs of the wireless internet have become so great, and the use of 4G and 5G so ubiquitous, that challenges arise in the availability and distribution of resources. In this paper we examine an application of Machine Learning and subsequently Neural Networks to offer a solution to this problem. The, now more than ever, profound availability of processing power greatly empowers and makes the deployment of these tools easier than ever, even in problems where in the past their application would not be feasible. The use of machine learning techniques to distribute resources in wireless networks is investigated and contrasted to a traditional algorithmic method. Scenarios are also entertained in which such approaches might be applicable.1 aKouris, Michael1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aPouyioutas, Philippos1 aBouras, Christos  uhttp://telematics.upatras.gr/telematics/publications/machine-learning-approach-user-assignment-5g-networks