Performance Improvement of Multi-User Multiple-Input Multiple-Output Protocol for WLAN

Bakalla, Maha and Al-Rodhaan, Mznah and Tian, Yuan (2017) Performance Improvement of Multi-User Multiple-Input Multiple-Output Protocol for WLAN. Communications and Network, 09 (02). pp. 124-141. ISSN 1949-2421

[thumbnail of CN_2017052713582216.pdf] Text
CN_2017052713582216.pdf - Published Version

Download (974kB)


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.

Item Type: Article
Subjects: Asian Repository > General Subject > Computer Science
0 Subject > Computer Science
Depositing User: Managing Editor
Date Deposited: 23 Dec 2022 04:28
Last Modified: 23 Dec 2022 04:28

Actions (login required)

View Item
View Item