Many performance characteristics of wireless devices are fundamentally influenced by their vendor-specific physical layer implementation. Yet, characterizing the physical layer behavior of wireless devices usually requires complex testbeds with expensive equipment, making such behavior inaccessible and opaque to the end user, and complex to perform for wireless researchers. In this work, we propose and implement a new testbed architecture for software-defined radio-based wireless device performance benchmarking. The testbed allows tight control of timing events, at a microsecond time granularity, and is capable of accessing and measuring physical layer protocol features of real wireless devices, which allows to fingerprint the device type with high accuracy. Using the testbed, we measure the receiver sensitivity and signal capture behavior of Wi-Fi devices from different vendors. We identify marked differences in their performance, including a variation of as much as 20 dB in their receiver sensitivity. We further assess the response of the devices to truncated packets and show that this procedure can be employed to fingerprint device types with high consistency in both wired and wireless lab setups using only commodity SDR equipment.

无线设备的许多性能特征从根本上受其特定于供应商的物理层实现的影响。然而，表征无线设备的物理层行为通常需要配备昂贵设备的复杂测试平台，使此类行为对于最终用户而言不可访问且不透明，并且对于无线研究人员而言执行起来很复杂。在这项工作中，我们提出并实现了一种新的测试平台体系结构，用于软件定义的基于无线电的无线设备性能基准测试。该测试平台允许以毫秒级的时间粒度严格控制定时事件，并且能够访问和测量实际无线设备的物理层协议功能，从而可以高精度地识别设备类型。使用测试台 我们测量了来自不同供应商的Wi-Fi设备的接收器灵敏度和信号捕获行为。我们发现它们的性能存在明显差异，包括接收机灵敏度变化多达20 dB。我们进一步评估了设备对截断的数据包的响应，并表明此过程可用于仅使用商用SDR设备的有线和无线实验室设置中具有高度一致性的指纹设备类型。