Simulation of wireless networks
Applied system simulation
On the use of learning automata in the control of broadcast networks: a methodology
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, we present a new technique for dynamically setting a spread spectrum radio's waveforms and transmission power levels in simulations based on the wireless channel model's signal to noise ratio. Our scheme, known as Signal-to-Noise Ratio-Waveform Power Adaptation (SNR-WPA), is designed on an 802.11 spread spectrum radio but is an extensible framework portable to models of other spread spectrum systems. SNR-WPA changes the power in discrete steps matched to each of the 802.11 data rate-waveform steps. By matching the power to the spreading symbol rate, our technique maximizes the network throughput while minimizing MAC layer contention. Unlike other power adaptation methods, this method does not increase the Wireless LAN (WLAN) station's overall effective operational range and does not change the minimum-spanning tree used to calculate routing. We found through experimentation that the power adaptation in SNR-WPA yields up to a 50% increase in throughput in a mobile wireless LAN network without creating additional routing overhead.