This software provides a model for simulating Wireless Local Area Networks that use the IEEE 802.11 protocol. It can help users test different scenarios and configurations in a virtual environment before implementing them in real-world networks.
If you're looking for a way to simulate Wireless Local Area Networks (WLAN), then you'll want to check out openWNS WiFiMAC. This impressive Python module is designed to implement a model to help you get a better understanding of IEEE 802.11 WLANs, and it comes loaded with features that make it a powerful tool for network analysis.
One of the standout features of the WiFiMAC module is its physical layer model. This model allows you to simulate the transmission of frames over 20/40MHz-wide wireless channels. And, you can also take advantage of SINR-based packet errors, which are dependent on the modulation, coding, and frame length. Additionally, you can use capture effect and pre/post-SINR conversion to simulate MIMO gain.
Another great feature of WiFiMAC is the MAC layer, which implements the popular IEEE 802.11 Distributed Coordination Function (DCF). With this layer, you can take advantage of SINR- and ARQ-based rate adaptation, as well as MIMO support. You'll also have access to block acknowledgement, frame aggregation (A-MPDU), and RTS/CTS, which can help you get a better understanding of network traffic and performance.
Finally, WiFiMAC also includes a path selection layer that enables you to emulate IEEE 802.11s-based Wireless Mesh Networks (WMNs). This layer is designed to help you build more complex network simulations and give you a deeper understanding of how WMNs work.
Overall, if you're looking for a powerful and feature-rich tool for WLAN simulation and analysis, openWNS WiFiMAC is definitely worth checking out. With its three different logical entities, physical layer model, MAC layer, and path selection layer, you'll have everything you need to build accurate and detailed network simulations with ease.
One of the standout features of the WiFiMAC module is its physical layer model. This model allows you to simulate the transmission of frames over 20/40MHz-wide wireless channels. And, you can also take advantage of SINR-based packet errors, which are dependent on the modulation, coding, and frame length. Additionally, you can use capture effect and pre/post-SINR conversion to simulate MIMO gain.
Another great feature of WiFiMAC is the MAC layer, which implements the popular IEEE 802.11 Distributed Coordination Function (DCF). With this layer, you can take advantage of SINR- and ARQ-based rate adaptation, as well as MIMO support. You'll also have access to block acknowledgement, frame aggregation (A-MPDU), and RTS/CTS, which can help you get a better understanding of network traffic and performance.
Finally, WiFiMAC also includes a path selection layer that enables you to emulate IEEE 802.11s-based Wireless Mesh Networks (WMNs). This layer is designed to help you build more complex network simulations and give you a deeper understanding of how WMNs work.
Overall, if you're looking for a powerful and feature-rich tool for WLAN simulation and analysis, openWNS WiFiMAC is definitely worth checking out. With its three different logical entities, physical layer model, MAC layer, and path selection layer, you'll have everything you need to build accurate and detailed network simulations with ease.
What's New
Version 2009-02-13: N/A