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WCNA-SS: Wireless Communication Network Awareness and Signal Separation Dataset

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/cogniwifi-dataset-cognitive-wifi-network-awareness-and-signal-analysis-dataset
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At present, we have only uploaded a portion of the dataset (v0.1).The full version (v1.0) will be released later along with the corresponding publication.This dataset implements Wi-Fi communication among multiple nodes using the ESP32-WROOM-32U microcontroller, transmitting data via the UDP protocol to simulate real-world wireless communication scenarios. Various network topologies were constructed, and signal acquisition and analysis were performed. A single USRP X410 unit captured and streamed signals at a high sampling rate (40 Msps). Three USRP X310 units (1 Msps) operate at a lower sampling rate to locate ESP32 devices (communication nodes), enabling individual node identification. Ten distinct network topologies were constructed to thoroughly validate the wireless network awareness algorithm.
提供机构:
Qi Xun Ai; Chao Li; Chang Bo Hou; Zhen Song; Yuan Wang; Zhi Cheng Yi; Zhi Chao Zhou
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