01441nas a2200157   4500008004100000245005300041210005300094520089300147100002401040700002301064700002401087700002201111700002101133700002601154856010301180       2024                        eng d00aDynamic Bandwidth Allocation in MIMO 5G Networks0 aDynamic Bandwidth Allocation in MIMO 5G Networks3 aThe advent of 5G technology has ushered in a new era of wireless communication, characterized by its promise of high data rates, low latency, and enhanced connectivity. In this context, Multiple-Input Multiple-Output (MIMO) systems have emerged as a key enabler, leveraging advanced antenna arrays to simultaneously serve multiple users with increased spectral efficiency. This paper investigates the dynamic resource allocation problem in a MIMO 5G environment, where each user possesses distinct bandwidth requirements. The focus is on optimizing user allocation while considering the limited bandwidth and user capacity of base stations. By harnessing the
power of deep learning techniques, the proposed solution aims to efficiently manage the allocation of users to base station antennas, thereby maximizing overall network performance while accommodating heterogeneous user demands.1 aProdromos, Nikolaos1 aDiasakos, Damianos1 aKokkinos, Vasileios1 aGkamas, Apostolos1 aBouras, Christos1 aPouyioutas, Philippos  uhttp://telematics.upatras.gr/telematics/publications/dynamic-bandwidth-allocation-mimo-5g-networks