CaST: a toolchain for creating and characterizing realistic wireless network emulation scenarios
CaST: a toolchain for creating and characterizing realistic wireless network emulation scenarios
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CaST:用于创建和表征真实无线网络仿真场景的工具链
DOI:
10.1145/3556564.3558243
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Melodia, Tommaso
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文献类型:
--
作者:
Villa, Davide;Tehrani-Moayyed, Miead;Johari, Pedram;Basagni, Stefano;Melodia, Tommaso
Large-scale wireless testbeds are being increasingly used in developing and evaluating new solutions for next generation wireless networks. Among others, high-fidelity FPGA-based emulation platforms have unique capabilities for faithfully modeling real-world wireless environments in real-time and at scale, while guaranteeing repeatability. However, the reliability of the solutions tested on emulation platforms heavily depends on the precision of the emulation process, which is often overlooked. To address this unmet need in wireless network emulator-based experiments, in this paper we presentCaST, aChannel emulation generator and Sounder Toolchainfor creating and characterizing realistic wireless network scenarios with high accuracy.CaSTconsists of (i) a framework for creating mobile wireless scenarios from ray-tracing models for FPGA-based emulation platforms, and (ii) a containerized Software Defined Radio-based channel sounder to precisely characterize the emulated channels. We demonstrate the use ofCaSTby designing, deploying and validating multi-path mobile scenarios on Colosseum, the world's largest wireless network emulator. Results show thatCaSTachieves ≤ 20 ns accuracy in sounding Channel Impulse Response tap delays, and 0.5 dB accuracy in measuring tap gains.
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DOI:
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发表时间:
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期刊:
ACM WinTech Workshop
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2018
期刊:
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