A Learning Based Rate Adaption Algorithm in 802.11n Networks

  title={A Learning Based Rate Adaption Algorithm in 802.11n Networks},
  author={Pouria Babakhani and Masoud Sabaei},
  journal={2011 Third International Conference on Computational Intelligence, Modelling & Simulation},
Rate adaptation algorithms play an important role in improving the performance of WLANs. However, just few numbers of efforts have been made on this area. These algorithms try to provide more throughputs by increasing or decreasing rates upon channel condition and obtained goodput. However, it is a little different in 802.11n. Unfortunately, just a few efforts have been made on this issue. This paper presents a learning automata based algorithm, called learning_RA, to determine the best rate in… CONTINUE READING

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