Investigation of next generation IEEE 802.11n wireless local area networks (WLAN)

Chan, Zee Hong (2009) Investigation of next generation IEEE 802.11n wireless local area networks (WLAN). [USQ Project] (Unpublished)

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Abstract

The aim of this project is to investigate the new IEEE 802.11n WLAN standard. The IEEE 802.11n is a new amendment to the already popular IEEE 802.11 standard, this new amendment aims to create a seamless working environment by the mobility of wireless with the performance of the wired networks. It provides a higher throughput, increased coverage, and improved reliability of the over-the-air WLAN transmission. The main techniques used to achieve these improvements, based on the physical layer, are the use of multiple transmit and receive antennas, referred to as MIMO, and multiple subcarrier transmission scheme, or OFDM. With the improved PHY, together with the use of wider bandwidth, known as channel bonding, and increase transmission efficiency by aggregating multiple packets, the 802.11n can achieve a potential throughput beyond 200 Mbps. Methods of channel modelling are discussed, with an investigation to the OFDM and MIMO to analyse the improvement of this new amendment in the PHY transmission. Simulation results that illustrate the advantages of the new techniques are presented, as well as the comparison of various transmission schemes, for example antenna numbers, modulations type, and etc.


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Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 20 Jul 2010 02:16
Last Modified: 21 Jul 2010 05:01
Uncontrolled Keywords: WLAN: next generation: wireless local area networks; IEEE 80211n
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080503 Networking and Communications
10 Technology > 1005 Communications Technologies > 100503 Computer Communications Networks
URI: http://eprints.usq.edu.au/id/eprint/8454

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