TY - CONF T1 - Resource Allocation In 5G and Beyond Networks for Mu-MIMO Systems T2 - The Twenty - First International Conference on Networks (ICN 2022), April 24 - 28, 2022, Barcelona, Spain Y1 - 2022 A1 - Eirini Barri A1 - Christos Bouras A1 - Apostolos Gkamas A1 - Vasileios Kokkinos A1 - Aspasia Koukouvela AB - The resource allocation problem focuses on finding an optimal allocation of a specific number of resources to maintain Quality of Service (QoS). That is where Multiple-Input Multiple-Output (MIMO) come in as a radio antenna technology. In order to, optimize data speed, minimize errors and improve the radio transmission capacity MIMO utilizes multiple antennas at both the transmitter and the receiver. This technology uses a variety of antennas and paths that carry the data. Each antenna uses different paths. Multi-user MIMO (mu-MIMO) stands for a technology that allows routers to communicate simultaneously with multiple endpoint devices and it is the next evolutionary step of single user MIMO. Over the past decade, significant advances have been made to improve the performance of mu-MIMO. Although non-negligible progress has been achieved so far, optimal algorithms for Resource Allocation (RA) will help better the performance of mu-MIMO by increasing the system’s performance in terms of throughput, fairness, and QoS. The purpose of this paper is to provide a comparison of different beamforming techniques used for resource allocation and list them in ascending order depending on their efficiency. JF - The Twenty - First International Conference on Networks (ICN 2022), April 24 - 28, 2022, Barcelona, Spain ER - TY - CONF T1 - A Mechanism for Improving the Spectral Efficiency in mu-MIMO for 5G and Beyond Networks T2 - The 19th International Symposium on Mobility Management and Wireless Access (ACM Mobiwac 2021), November 22 – 26, 2021, Alicante, Spain Y1 - 2021 A1 - Eirini Barri A1 - Christos Bouras A1 - Vasileios Kokkinos A1 - Aspasia Koukouvela AB - The ultimate challenge that arises in 6G and 5G and beyond networks is how the mobile networks of the future will be able to cope with the constantly increasing number of devices. In Multiuser Multiple-Input and Multiple-Output (mu-MIMO), the base station basically serves many users at the same time using the same frequency. The topic considered in this paper is the spectral performance in Downlink mu-MIMO. This paper’s goal is to improve the achieved spectral efficiency of the communication system, as well as the achieved reliability of the communication link. An algorithm based on downlink scheduling and the resource allocation is proposed to achieve maximum spectral use of the system. Considering user’s demands, this paper’s mechanism is able to allocate the potential user of the queue to the ”best antenna” based on its demands and distance. That provokes a larger number of devices that can be supported, always according to the specifications stated in IEEE 802.11ax. JF - The 19th International Symposium on Mobility Management and Wireless Access (ACM Mobiwac 2021), November 22 – 26, 2021, Alicante, Spain ER -