01784nas a2200157   4500008004100000245007300041210006900114520118300183100002101366700002301387700002201410700002401432700002601456700002401482856012001506       2023                        eng d00aEvaluation of User Allocation Techniques in Massive MIMO 5G Networks0 aEvaluation of User Allocation Techniques in Massive MIMO 5G Netw3 aMassive MIMO (Multiple Input Multiple Output) is a fundamental technique for improving the efficiency of 5G wireless networks. At the base station, it calls for the use of numerous antennas—usually in the dozens or even hundreds. In addition to better coverage and less interference, this enables a large increase in the amount of data that can be delivered and received simultaneously. By enabling more precise signal transmission and reception, Massive MIMO can also result in significant energy savings. The use of optimization techniques can further improve the performance of 5G networks. The aim of this paper is to investigate a signal quality optimization technique for MIMO in which users are allocated to antennas according to different algorithms. For our research, the DeepMIMO simulator produced a dataset that sets up all necessary parameters. In our study, we examine different techniques for user allocation in 5G MIMO Networks. We conclude that transforming the problem of user allocation to a linear assignment problem in order to find the most efficient connection between the users and the base stations is one of the best ways to optimize user allocation.1 aBouras, Christos1 aDiasakos, Damianos1 aApostolopoulos, A1 aKokkinos, Vasileios1 aPouyioutas, Philippos1 aPrpdromos, Nikolaos  uhttp://telematics.upatras.gr/telematics/publications/evaluation-user-allocation-techniques-massive-mimo-5g-networks