Wi-Fi 7, also known as IEEE 802.11ax, is the latest generation of wireless networks designed to provide faster and more reliable connections. One crucial aspect of Wi-Fi 7 is radio link allocation, which refers to how the network assigns channels and resources to devices for communication. In this article, we compare two different approaches to radio link allocation in Wi-Fi 7: PF (Proportional Fairness) and RR (Randomized Radio Selection). We analyze their performance based on various scenarios and demonstrate the advantages of PF in maintaining higher data rates while ensuring fairness among devices.
Section 1: Background and Methodology
- Wi-Fi 7 is an evolution of IEEE 802.11 standards, aimed at providing faster and more reliable connections.
- Radio link allocation refers to the process of assigning channels and resources to devices for communication.
- PF and RR are two different approaches to radio link allocation in Wi-Fi 7.
Section 2: Comparison of PF and RR Approaches
- PF allocates channels based on proportional fairness, ensuring that each device receives an equal share of the available resources.
- RR selects channels randomly, which can lead to uneven distribution of resources among devices.
- In Fig. 8, we compare the performance of PF and RR in two different scenarios: with MCS (Modulation and Coding Scheme) = 9 and MCS = 6.
Section 3: Results and Discussion
- PF consistently outperforms RR in terms of data rate, with an average difference of 11.4%, 9.8%, and 18.5% on different radio frequencies.
- The superior performance of PF is due to its ability to adapt to changing network conditions and ensure fairness among devices.
- RR can only converge after almost 2000 iterations, while PF converges within 100 iterations.
Section 4: Conclusion
- In conclusion, the comparison between PF and RR reveals that PF outperforms RR in terms of data rate and fairness.
- PF is a more efficient approach to radio link allocation in Wi-Fi 7, ensuring better performance and fairness among devices.
- These findings have significant implications for the design and implementation of future wireless networks, where fairness and efficiency are increasingly important.
