Title
Optimal Rate Sampling in 802.11 systems
Abstract
Rate Adaptation (RA) is a fundamental mechanism in 802.11 systems. It allows transmitters to adapt the coding and modulation scheme as well as the MIMO transmission mode to the radio channel conditions, and in turn, to learn and track the (mode, rate) pair providing the highest throughput. So far, the design of RA mechanisms has been mainly driven by heuristics. In contrast, in this paper, we rigorously formulate such design as an online stochastic optimisation problem. We solve this problem and present ORS (Optimal Rate Sampling), a family of (mode, rate) pair adaptation algorithms that provably learn as fast as it is possible the best pair for transmission. We study the performance of ORS algorithms in stationary radio environments where the successful packet transmission probabilities at the various (mode, rate) pairs do not vary over time, and in non-stationary environments where these probabilities evolve. We show that under ORS algorithms, the throughput loss due to the need to explore sub-optimal (mode, rate) pairs does not depend on the number of available pairs. This is a crucial advantage as evolving 802.11 standards offer an increasingly large number of (mode, rate) pairs. We illustrate the efficiency of ORS algorithms (compared to the state-of-the-art algorithms) using simulations and traces extracted from 802.11 test-beds.
Year
DOI
Venue
2013
10.1109/INFOCOM.2014.6848225
Toronto, ON
Keywords
DocType
Volume
MIMO communication,optimisation,stochastic processes,transmitters,wireless LAN,wireless channels,802.11 systems,MIMO transmission mode,ORS,RA,coding scheme,modulation scheme,online stochastic optimisation problem,optimal rate sampling,packet transmission probabilities,radio channel conditions,rate adaptation,stationary radio environments,transmitters
Journal
abs/1307.7309
ISSN
Citations 
PageRank 
0743-166X
6
0.53
References 
Authors
0
5
Name
Order
Citations
PageRank
Richard Combes160.53
Alexandre Proutiere255840.94
Donggyu Yun3475.11
Jungseul Ok4416.57
Yung Yi51557104.55