Journal ArticleDOI
Tool release: gathering 802.11n traces with channel state information
Daniel Halperin,Wenjun Hu,Anmol Sheth,David Wetherall +3 more
- Vol. 41, Iss: 1, pp 53-53
TLDR
The measurement setup comprises the customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab scripts for data analysis.Abstract:
We are pleased to announce the release of a tool that records detailed measurements of the wireless channel along with received 802.11 packet traces. It runs on a commodity 802.11n NIC, and records Channel State Information (CSI) based on the 802.11 standard. Unlike Receive Signal Strength Indicator (RSSI) values, which merely capture the total power received at the listener, the CSI contains information about the channel between sender and receiver at the level of individual data subcarriers, for each pair of transmit and receive antennas.Our toolkit uses the Intel WiFi Link 5300 wireless NIC with 3 antennas. It works on up-to-date Linux operating systems: in our testbed we use Ubuntu 10.04 LTS with the 2.6.36 kernel. The measurement setup comprises our customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab (or Octave) scripts for data analysis. We are releasing the binary of the modified firmware, and the source code to all the other components.read more
Citations
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CSI-MIMO: Indoor Wi-Fi fingerprinting system
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B2W2: N-Way Concurrent Communication for IoT Devices
TL;DR: B2W2, a novel communication framework that enables N-way concurrent communication among WiFi and Bluetooth Low Energy (BLE) devices, is proposed and it is demonstrated that it is possible to enable the BLE to WiFi cross-technology communication while supporting the concurrent Ble to BLE and WiFi to WiFi communications.
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MonoPHY: Mono-stream-based device-free WLAN localization via physical layer information
TL;DR: MonoPHY leverages the physical layer information of WiFi networks supported by the IEEE 802.11n standard to provide accurate DF localization with only one stream and leverages both the low-level Channel State Information and the MIMO information to capture the human effect on signal strength.
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MultiSense: Enabling Multi-person Respiration Sensing with Commodity WiFi
TL;DR: MultiSense is proposed, the first WiFi-based system that can robustly and continuously sense the detailed respiration patterns of multiple persons even they have very similar respiration rates and are physically closely located and successfully proves that the reflected signals are linearly mixed at each antenna.
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Bringing cross-layer MIMO to today's wireless LANs
TL;DR: OpenRF, a cross-layer architecture for managing MIMO signal processing, is presented, and an average gain of 1.6x for TCP traffic and a significant reduction in response time for real-time applications, like remote desktop are demonstrated.
References
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