Mitigating Interference and Improving the SINR in a Discrete Time Frame of a Downlink MU-MIMO Transmission in 5G and Beyond Wireless Networks

Multiple-input, multiple-output (MIMO) wireless system technologies have attracted a lot of attention because they dramatically increase the capacity of band-limited wireless channels to meet the demands of high data-rate wireless communications. To keep up with the wireless cellular network's users' exponential expansion and their desire for high data rates, this quality is essential. However, the use of higher frequencies results in smaller cells, which exacerbates already-present issues like interference. This is particularly evident in mobile User Equipment (UE) that traverses the network. At the downlink of the Multi-User MIMO (MU-MIMO), researchers have made an effort to address this issue to improve Quality of Service (QoS) metrics such as outage probability, Signal-to-Interference-plus-Noise ratio (SINR), etc. However, it has been shown that the majority of the algorithms adopted by researchers to study the downlink MU-MIMO system are computationally complex. Although, this is partly due to the dynamic nature of the aspects that must be taken into account in order to reflect real-world events. The effects of which can be seen as interference, outage, energy consumption, security, link and capacity reliability, etc. In addressing these concerns, most work inadvertently trade-off the computational complexity to investigate these effects or put aside factors such as the mobility state of the UE to lower complexity and investigate the downlink MU-MIMO. This paper proposes an Efficient Algorithm for Downlink (EMD-MU-MIMO) for Fifth-Generation and Beyond (B5G) networks using a closed-form outage probability of a discrete-time frame of MU-MIMO Transmission. In comparison to the conventional IEEE 802.11ax algorithm, the proposed algorithm mitigates interference in the downlink MU-MIMO by 7.5% and improves the SINR by 26.1%.