Abstract—Rate adaptation algorithms play a crucial role in IEEE 802.11 WLANs. While the network performance depends greatly on the rate adaptation algorithms, the detailed imple-mentation is left to vendors. Due to its simplicity and prac-ticality, threshold-based rate adaptation algorithms

Abstract—The effectiveness of rate adaptation algorithms is an important determinant of 802.11 wireless network performance. The diversity of algorithms that has resulted from efforts to improve rate adaptation has introduced a new dimension of variability into 802.11 wireless networks, further

Abstract—The effectiveness of rate adaptation algorithms is an important determinant of 802.11 wireless network performance. The diversity of algorithms that has resulted from efforts to improve rate adaptation has introduced a new dimension of variability into 802.11 wireless networks, further

An effective rate adaptation is one of the main challenges in wireless networks with multi-rate support. This work aims to design an effective rate adaptation algorithm. To fulfill this goal, we study the behavior of a system under different rate adaptation operations with simulations, investigate

experiencing distinctly different wireless phenomena such as multipath fast fading, nodal mobility, environmental mobility and hidden terminal interference. Rate adaptation algorithms use various methods to estimate channel conditions but these methods can be inaccurate in complex wireless environments causing

In this thesis we test the performance of Rate Adaptation mechanisms in 802.11 Wireless Local Area Networks. We consider three different Rate Adaptation Algorithms i.e. SampleRate, Onoe and AMRR (Adaptive Multi Rate Retry) available on Atheros Chipsets for which open source MadWiFi (Multi

Rate adaptation algorithms are critical to improving the throughput performance of WLANs. While previous studies have examined the performance of different algorithms in some detail using numerous measurements and simulations, there is a lack of a theory that would allow comparison across different

Abstract — Rate adaptation algorithms play a crucial role in IEEE 802.11 WLANs. While the network performance depends greatly on the rate adaptation algorithms, the detailed implemen-tation is left to vendors. Due to its simplicity and practicality, the generic rate adaptation algorithm based on up

Abstract—Rate adaptation represents a key functionality of the 802.11 MAC protocol for performance enhancement. Several solutions have been proposed for improving the transmission rate of unicast communications using frame receptions/losses, BER (Bit Error Rate) and SNR (Signal to Noise Ratio

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