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- W2255193025 abstract "Abstract : Wireless networking has become a part of our everyday life, but it is a challenging networking technology. The reason is that wireless channel properties, and thus link quality, depend strongly on the physical environment. This creates a challenge for both simulation and emulation platforms, since they must accurately model the impact of many physical layer factors on signal propagation in order to achieve a high degree of realism. This project developed a number of techniques to improve the accuracy of developing realistic and efficient environment-specific channel models. We looked at how the accuracy of both geometric and stochastic channel models can be improved by generating model inputs that accurately reflect a specific environment. Our evaluation uses two important properties, channel dynamics and correlation between nearby channels, in a challenging wireless environment, namely vehicular networks. We also made a number of improvements to an emulation-based wireless testbed to improve channel model accuracy and transferred a copy of the testbed to LTS as the basis for research collaboration." @default.
- W2255193025 created "2016-06-24" @default.
- W2255193025 creator A5089056623 @default.
- W2255193025 date "2015-03-01" @default.
- W2255193025 modified "2023-09-23" @default.
- W2255193025 title "Realistic Modeling of Wireless Network Environments" @default.
- W2255193025 doi "https://doi.org/10.21236/ada615848" @default.
- W2255193025 hasPublicationYear "2015" @default.
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