Impact of Complex Wireless Environments on Rate Adaptation Algorithms
Due to the popularity of mobile computing devices, 802.11-based wireless networks have become common place. A critical but unspecified component of 802.11 is transmission rate adaptation. Rate adaptation is difficult to do because it requires accurately estimating channel conditions while 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 incorrect adaptations. In this paper, the authors investigate the impact of inaccurate channel estimation methods by studying two rate adaptation algorithms, CHARM and SampleRate.