无线局域网多用户多输入多输出协议的性能改进

Maha Bakalla, Mznah Al-Rodhaan, Yuan Tian
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引用次数: 1

摘要

随着移动技术的大规模革命,设备数量的增加导致了无线通信网络容量的增加。多用户多输入多输出是多输入多输出的一种高级处理方法,它提高了无线局域网的性能。此外,多用户多输入多输出使得无线局域网的覆盖范围越来越广。由于客户端数量和需求的增长,研究人员试图提高多用户多输入多输出技术的介质访问控制协议的性能,通过支持不同的数据大小,减少等待时间,以便能够快速传输数据,从而更好地为用户服务。本文提出了一种聚类多用户多输入多输出协议,它是基于MIMOMate聚类技术和Padovan Backoff算法的一种改进的多用户多输入多输出媒体访问控制协议。利用MIMOMMate专注于仅为该集群中的用户服务的信号功率,最大限度地减少了能耗并增加了容量。集群多用户多输入多输出的实现在Network Simulator (NS2.34)平台上完成。结果表明,在竞争场景下,集群多用户多输入多输出协议的吞吐量提高了89.8%,无线通信延迟降低了43.9%。因此,网络的整体性能得到了提高。
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Performance Improvement of Multi-User Multiple-Input Multiple-Output Protocol for WLAN
The increase in the number of devices with a massive revolution in mobile technology leads to increase the capacity of the wireless communications net-works. Multi-user Multiple-Input Multiple-Output is an advanced procedure of Multiple-Input Multiple-Output, which improves the performance of Wireless Local Area Networks. Moreover, Multi-user Multiple-Input Multiple-Output leads the Wireless Local Area Networks toward covering more areas. Due to the growth of the number of clients and requirements, researchers try to improve the performance of the Medium Access Control protocol of Multi-user Multiple-Input Multiple-Output technology to serve the user better, by supporting different data sizes, and reducing the waiting time to be able to transmit data quickly. In this paper, we propose a Clustering Multi-user Multiple-Input Multiple-Output protocol, which is an improved Medium Access Control protocol for Multi-user Multiple-Input Multiple-Out-put based on MIMOMate clustering technique and Padovan Backoff Algorithm. Utilizing MIMOMMate focuses on the signal power which only serves the user in that cluster, minimizes the energy consumption and increases the capacity. The implementation of Clustering Multi-user Multiple-Input Multiple-Output performs on the Network Simulator (NS2.34) platform. The results show that Clustering Multi-user Multiple-Input Multiple-Output protocol improves the throughput by 89.8%, and reduces the latency of wireless communication by 43.9% in scenarios with contention. As a result, the overall performances of the network are improved.
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