Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks
Md. Asif Ishrak Sarder, Fehima Tajrian, Moontasir Rafique, Mariea, Anzum, Abdullah Bin Shams

TL;DR
This paper proposes a novel antenna configuration method using antenna diversity in MU-MIMO systems to improve downlink performance for high-velocity users in 5G networks, addressing challenges of channel variability.
Contribution
It introduces a new antenna selection scheme with more reception antennas than transmission antennas, enhancing high-speed user performance in MU-MIMO without complex modifications.
Findings
Improved downlink performance for high-velocity users
Method applicable to large-scale Massive MIMO systems
Minimal implementation complexity
Abstract
An exponential increase in the data rate demand prompted several technical innovations. Multi User Multiple Input Multiple Output (MU-MIMO) is one of the most promising schemes. This has been evolved into Massive MIMO technology in 5G to further stretch the network throughput. Massive MIMO tackles the rising data rate with the increase in the number of antenna. This comes at the price of a higher energy consumption. Moreover the high velocity users in MU-MIMO scheme experiences a frequent unpredictable change in the channel condition that degrade its downlink performance. Therefore a proper number of antenna selection is of paramount importance. This issue has been addressed using machine learning techniques and Channel State Information (CSI) but only for static users. In this study we propose to introduce antenna diversity in spatial multiplexing MU-MIMO transmission scheme by…
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