Rate adaptation using long range channel prediction based on discrete prolate spheroidal sequences

Abstract

Rate adaptation which adjusts the transmission rate based on channel quality, plays a key role in the performance of 802.11 networks and is critical for achieving high throughput. Traditional statistics-based methods for rate adaptation are unsuited for mobility scenarios because of the delay involved in statistics gathering. Methods based on channel state… (More)
DOI: 10.1109/SPAWC.2014.6941899

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@article{Abdallah2014RateAU, title={Rate adaptation using long range channel prediction based on discrete prolate spheroidal sequences}, author={Saeed Abdallah and Steven D. Blostein}, journal={2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)}, year={2014}, pages={479-483} }