The increase in the number of devices with a massive revolution in mobile\ntechnology leads to increase the capacity of the wireless communications networks.\nMulti-user Multiple-Input Multiple-Output is an advanced procedure\nof Multiple-Input Multiple-Output, which improves the performance of\nWireless Local Area Networks. Moreover, Multi-user Multiple-Input Multiple-\nOutput leads the Wireless Local Area Networks toward covering more\nareas. Due to the growth of the number of clients and requirements, researchers\ntry to improve the performance of the Medium Access Control protocol of\nMulti-user Multiple-Input Multiple-Output technology to serve the user better,\nby supporting different data sizes, and reducing the waiting time to be\nable to transmit data quickly. In this paper, we propose a Clustering Multi-\nuser Multiple-Input Multiple-Output protocol, which is an improved Medium\nAccess Control protocol for Multi-user Multiple-Input Multiple-Output\nbased on MIMOMate clustering technique and Padovan Backoff Algorithm.\nUtilizing MIMOMMate focuses on the signal power which only serves\nthe user in that cluster, minimizes the energy consumption and increases the\ncapacity. The implementation of Clustering Multi-user Multiple-Input Multiple-\nOutput performs on the Network Simulator (NS2.34) platform. The results\nshow that Clustering Multi-user Multiple-Input Multiple-Output protocol\nimproves the throughput by 89.8%, and reduces the latency of wireless\ncommunication by 43.9% in scenarios with contention. As a result, the overall\nperformances of the network are improved.
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