01423nas a2200157   4500008004100000245008400041210006900125520081500194100002101009700002501030700002201055700002201077700002001099700002201119856012401141       2023                        eng d00aState of the Art Analysis of Resource Allocation Techniques in 5G MIMO Networks0 aState of the Art Analysis of Resource Allocation Techniques in 53 aThe industry is shifting from 4G to 5G, which  promises a tenfold increase in data throughput. However, 5G is about much more than simply higher bandwidth. 5G is basically a re-architecture of network infrastructure that incorporates a number of significant technology advancements. One important aspect of 5G networks is the Resource Allocation (RA), where many promising technologies are implemented, like Multi-User Multiple-Input Multiple-Output (MU-MIMO) and Downlink and Uplink Decoupling (DUDe) and many new technologies like Machine Learning (ML) and Game Theory (GT) must be investigated. This paper presents state of art research for RA
using MU-MIMO, DUDe, ML and GT. The above will be the base for proposing guidance for effective RA algorithm design and implementation for 5G and beyond networks.1 aBouras, Christos1 aCaragiannis, Ioannis1 aGkamas, Apostolos1 aProtopapas, Nikos1 aSardelis, Tasos1 aSgarbas, Kyriakos  uhttp://telematics.upatras.gr/telematics/publications/state-art-analysis-resource-allocation-techniques-5g-mimo-networks