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WOK: A Simulation Model for DFS and Link Adaptation in IEEE 802.11a WLAN
Linköping University, Department of Electrical Engineering.
Linköping University, Department of Electrical Engineering.
2004 (English)Independent thesis Basic level (professional degree)Student thesisAlternative title
WOK : en simuleringsmodell för DFS och länkadaption i IEEE 802.11a WLAN (Swedish)
Abstract [en]

With the 1999 introduction of IEEE 802.11b, the 2.4 GHz Wireless Local Area Network (WLAN) standard, the WLAN market finally began to experience the growth levels that had been expected for so long. Now, 5 GHz solutions, with the IEEE 802.11a standard leading the way, offer higher throughput and more efficient use of the spectrum. Just as the 2.4 GHz band, the 5 GHz band is unlicensed. A common concern to all unlicensed bands is interference between devices using the spectrum. Furthermore, in the 5 GHz band, WLAN cells can interfere with radar systems operating at the same frequencies.

This report describes a software model, WOK, suitable for simulations of IEEE 802.11a WLANs operating in various environments and under various ambient conditions. The WOK model can be configured extensively with respect to topology, traffic behavior, channel models, signal attenuation, interference sources and radar systems.

Further, the concepts of Dynamic Frequency Selection (DFS) and link adaptation are explored in the context of the IEEE 802.11a standard. DFS aims to avoid channels occupied by radar systems and link adaptation aims to maximize the throughput based on current ambient conditions. A DFS algorithm and a link adaptation algorithm are implemented at the Medium Access Control (MAC) layer and evaluated using the WOK model.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2004. , 119 p.
LiTH-ISY-Ex, 3460
Keyword [en]
Datorteknik, simulation, model, DFS, Dynamic Frequency Selection, link adaptation, algorithm, WLAN, wireless, MAC, PHY, IEEE 802.11a, IEEE 802.11h, access point, transmission rate, radar, noise, interference, SNR, OMNeT++
Keyword [sv]
National Category
Computer Engineering
URN: urn:nbn:se:liu:diva-2171OAI: diva2:19501
Available from: 2004-03-08 Created: 2004-03-08

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