@inproceedings{HAMST-AMAMUWN-11,
Title = {A Measurement-Based Algorithm to Maximize the Utility of Wireless Networks},
Author = {Herzen, Julien and Aziz, Adel and Merz, Ruben and Shneer, Seva and Thiran, Patrick},
Booktitle = {Proceedings of the 3rd ACM workshop on Wireless of the students, by the students, for the students (S3 '11)},
Pages = {13–16},
Year = {2011},
Isbn = {978-1-4503-0868-7},
Doi = {http://dx.doi.org/10.1145/2030686.2030691},
Location = {Las Vegas, NV, USA},
Address = {New York, NY, USA},
Month = {September},
Publisher = {ACM},
Abstract = {The goal of jointly providing fairness and efficiency in wireless networks can be seen as the problem of maximizing a given utility function. The main difficulty when solving this problem is that the capacity region of wireless networks is typically unknown and time-varying, which prevents the usage of traditional optimization tools. As a result, scheduling and congestion control algorithms are either too conservative because they under-estimate the capacity region, or suffer from congestion collapse because they over-estimate it. We propose a new adaptive congestion control algorithm, called Enhance \& Explore (E\&E). It maximizes the utility of the network without requiring any explicit characterization of the capacity region. E\&E works above the MAC layer and is decoupled from the underlying scheduling mechanism. It provably converges to a state of optimal utility. We evaluate the performance of the algorithm in a WLAN setting, using both simulations and measurements on a real testbed composed of IEEE 802.11 wireless routers.},
Url = {http://www.net.t-labs.tu-berlin.de/papers/HAMST-AMAMUWN-11.pdf},
Categories = {tlabs_yes, group_feldmann},
Projectname = {thisisimportant}
}