DocumentCode
3319544
Title
Practical Rate Adaptation in Mobile environments
Author
Chen, Xi ; Gangwal, Prateek ; Qiao, Daji
Author_Institution
Iowa State Univ., Ames, IA
fYear
2009
fDate
9-13 March 2009
Firstpage
1
Lastpage
10
Abstract
Channel asymmetry and high fluctuation of channel conditions are two salient characteristics of wireless channels in mobile environments. Therefore, when using IEEE 802.11 devices in mobile environments such as vehicular networks, it is critical to have an effective rate adaptation scheme that can deal with these issues. In this paper, we propose a practical rate adaptation scheme called RAM (rate adaptation in mobile environments) and implement it in the Madwifi device driver. RAM uses a receiver-based approach to handle channel asymmetry and a conservative SNR prediction algorithm to deal with high channel fluctuation. More importantly, RAM allows the receiver to convey the feedback information in a creative manner via ACK transmission rate variation, which does not require changes to the device firmware and hence is implementable at the device driver level. The effectiveness of RAM is demonstrated through experimental evaluation in indoor static and mobile environments and outdoor vehicular environments, as well as simulation study based on SNR traces collected from the experiments.
Keywords
mobile communication; mobile computing; wireless LAN; wireless channels; ACK transmission rate variation; IEEE 802.11 devices; Madwifi device driver; channel asymmetry; channel condition fluctuation; conservative SNR prediction algorithm; mobile environments; practical rate adaptation; receiver-based approach; vehicular networks; wireless channels; Delay; Feedback; Feeds; Fluctuations; Microprogramming; Prediction algorithms; Resource management; System performance; Throughput; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications, 2009. PerCom 2009. IEEE International Conference on
Conference_Location
Galveston, TX
Print_ISBN
978-1-4244-3304-9
Electronic_ISBN
978-1-4244-3304-9
Type
conf
DOI
10.1109/PERCOM.2009.4912769
Filename
4912769
Link To Document