Analysis and simulation of Wireless Networks, IEEE 802.11ax DL

Galceran Esteve, Xavier; Talló Domínguez, Imar

Analysis and simulation of Wireless Networks, IEEE 802.11ax DL

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Citation

Galceran Esteve, X, Talló Domínguez, I. Analysis and simulation of Wireless Networks, IEEE 802.11ax DL. 2019. handle: http://hdl.handle.net/10230/42562

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Abstract

Since the beginning of the 21th century, wireless networks have played a very important role until today, and thanks to this technology, millions of people can connect daily to the Internet. Also, this will be more important as a consequence of the arrival of emerging technologies such as Internet of Things (IoT), where a significant increase in Internet traffic is expected. From here our thesis is born, where we will study the different behaviors of multiple Wireless Local Area Networks (WLAN), in downlink (DL) traffic. First of all, we have developed a graphical interface in Java which allows us to create the network that we want to study, being able to edit it and assigning the desired features. Next, all the data of the network are sent to the algorithm through a Transmission Control Protocol (TCP) connection, which is located in a Server in order to be able to offer its services to multiple clients at the same time. The algorithm is also implemented in Java and it applies all the parameters of IEEE 802.11ax with a channel bandwidth of 20 MHz. It offers three types of simulation which are chosen in the graphical interface, thus allowing the user to observe how the behavior of the network varies depending on each case. The algorithm analyzes each network and tries to find a balance that allows the good performance of it. We obtain evidence that with a system of multiple interfaces, the algorithm is able to handle better the DL traffic since it applies BSS Coloring separating in different channels the APs that are among them, which allows that the number of users can increase without affecting the yields of existing users. All the calculated data is returned to the graphical interface and this one represents them in graphics. We conclude the algorithm allows better performance of the network, as well as access points (AP) and users.