Title :
Improved Rate Adaptation strategies for real-time industrial IEEE 802.11n WLANs
Author :
Federico Tramarin;Stefano Vitturi;Michele Luvisotto
Author_Institution :
Institute of Electronics, Computer and Telecommunication Engineering, National Research Council of Italy, CNR-IEIIT, Via Gradenigo 6/B, 35131 Padova, Italy
Abstract :
The IEEE 802.11 standard, since its earliest versions, provides the multi-rate support feature typically exploited by Rate Adaptation (RA) techniques to dynamically select the most suitable transmission rate, based on an estimation of the channel status. With the release of the IEEE 802.11n amendment, several enhancements have been introduced to the standard, notably the support for MIMO architectures, whose benefits can be effectively combined with multi-rate support. In an industrial communication scenario, the RA algorithms commonly available for general purpose applications revealed ineffective. This led to the definition of purposely designed algorithms, with the aim of improving the real-time behavior of IEEE 802.11 networks. In this paper we take into consideration these techniques, as well as some general purpose RA strategies, and analyze their implementation on an IEEE 802.11n communication system deployed in an industrial scenario. Furthermore, we propose an effective parameters tuning for the considered RA algorithms, as well as some enhancements conceived to enforce their timeliness. An exhaustive assessment, carried out via numerical simulations, shows that the improved techniques allow to achieve excellent performance.
Keywords :
"IEEE 802.11n Standard","Payloads","Wireless communication","Industrial communication","MIMO","Analytical models","Channel models"
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on
DOI :
10.1109/ETFA.2015.7301481