Enhancing the Throughput in 802.11 by Modifying the Minstrel Algorithm
K Kodeeswari, Pradeep Loganathan, Hussain. A, Rakhi Mutha, Manoj Madanahalli Ramesh, A.T. Priyeshkumar · 2025
The demand for higher speeds and lower latency in reliable data communications will meet with acceptance in the wireless communication networks. Among the newest additions to the field is 5 G Device-to-Device (D2D) communication, which allows direct device communications not dependent on base stations or access points. However, environmental changes, signal interference, and differential mobility cause tremendous challenges in maintaining high throughput in wireless networks. Adjusting transmission rate according to real-time channel conditions provides optimal data transfer with minimal packet loss and transfer delays through a Rate Adaptation Algorithm (RAA). Essentially, classical Minstrel implementations become inefficient over quickly changing environments, thus taking decisions on rate that are not optimal, leading to increased packet loss and variable throughput. To overcome these disadvantages, this paper introduces a variety of changes, including modifications for dynamic retry adjustment, rate selection criteria, and sampling method optimization, which prevents unnecessary retransmissions. Simulation scenarios are run under diverse mobility and error rates, with analysis conducted on the performance of the enhanced Minstrel algorithm. The results demonstrate significant improvements in increased throughput, loss of packets, and stability of the network compared with traditional RAAs. The changes would allow modified Minstrel to adapt better 0highmobility scenarios. Improvements to the algorithm render a modified Minstrel a good candidate for future high-speed, adaptive wireless networks.