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Dynamic waveform : power adaptation in wireless LANs, 2002

 Item — Call Number: MU Thesis Gre
Identifier: b2125205
Abstract This thesis presents a method for dyamically setting 802.11 wireless LAN waveforms and transmission power levels based on the wireless channel's signal to noise ratio. Simulation models were developed to study the performance of our media access control (MAC) protocol, SNR-WPA (Signal to Noise Ratio-Waveform Power Adaptation), and compare the performance to a baseline wireless LAN MAC. SNR-WPA method is shown to increase the throughput and range while decreasing the packet delay for...
Dates: 2002