Tool release: gathering 802.11n traces with channel state information
22 Jan 2011-Vol. 41, Iss: 1, pp 53-53
TL;DR: 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.
Citations
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22 Aug 2019
TL;DR: This paper proposes an efficient algorithm to perform antenna assignment and transmission power allocation, by exploiting both the source coding characteristics of MVC and channel diversity of multiple antennas, in 802.11 MIMO-OFDM systems.
Abstract: Multi-view video streaming is becoming more popular, with increased potential for immersive applications. However, it poses a challenge in terms of energy consumption on the transmission devices with limited battery power due to the vast traffic volume. Previous literature has considered efficient video transmission but not exploited the full potential of joint design of 3D video coding and MIMO physical layer. In this paper, we present the first study on power consumption minimization for multi-view video streaming with a quality guarantee in 802.11 MIMO-OFDM systems. We propose an efficient algorithm to perform antenna assignment and transmission power allocation, by exploiting both the source coding characteristics of MVC and channel diversity of multiple antennas. A proof-of-concept system, namely PoM , is designed on the software-defined radio platform and is evaluated in realistic indoor environments. To the best of our knowledge, this is the first practical system for energy-efficient multi-view video streaming. Experimental results show that PoM can significantly save energy in the transmission by 88% ~ 26% on average for the PSNR requirement ranging from 35dB to 45dB, and 85% ~ 12% for SSIM from 0.80 to 0.95.
4 citations
Cites methods from "Tool release: gathering 802.11n tra..."
...11ac), the wireless NIC (Network Interface Card) collects CSI from client devices, and the timely feedback of CSI is always needed by MIMO systems for the spatial multiplexing of multiple data streams [1], [14]....
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05 Aug 2017
TL;DR: This paper first uses the existing three-antenna commercial Wi-Fi Network Interface Card (NIC) to collect radio Channel Frequency Response (CFR) measurements and then jointly estimate AoA and Time of Arrival (ToA) and proposes a sensing algorithm to distinguish Line-of-Sight (LoS) and Non-Line- of-S sight (N LoS) propagation and therefore obtain finer localization.
Abstract: With the development of information technology and the rising of demanding for location-based services, indoor localization has obtained great attentions. Accurate estimation of Angle of Arrival (AoA) of signals make it possible to achieve a high precision location. So as to resolve multipath signals effectively and then extract AoA of the direct path, in this paper we first use the existing three-antenna commercial Wi-Fi Network Interface Card (NIC) to collect radio Channel Frequency Response (CFR) measurements and then jointly estimate AoA and Time of Arrival (ToA). Second, we propose a sensing algorithm to distinguish Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) propagation and therefore obtain finer localization. Our experiments in a rich multipath indoor environment show that the AoA-based the proposed localization system can achieve a median accuracy of 0.8 m and 1.3 m in LoS environment and NLoS environment, respectively.
4 citations
01 Dec 2015
TL;DR: In this article, the CSI information extracted from packet transmissions is used to detect gestures and further distinguish between detected gestures by their strength in wireless local area networks (WLANs) by using the Received Signal Strength Indicator (RSSI) or Channel Side Information (CSI).
Abstract: Gesture detection is an important aspect of intelligent human-computer interactive systems. Recently, device-free gesture detection in wireless local area networks (WLANs) has been proposed to reduce the detection cost and complexity, whether using (1) the Received Signal Strength Indicator (RSSI), or (2) the more reliable Channel Side Information (CSI) . In this paper, we use CSI information extracted from packet transmissions to detect certain gestures and further distinguish between detected gestures by their strength. Experimental results establish the efficacy of the proposed techniques.
4 citations
11 Aug 2017
TL;DR: This paper describes the specific issues that it encountered when focusing on reproducing the experiments described in a paper related to wireless systems, and proposes some recommendations and lessons for the design of reproducible wireless experiments.
Abstract: Evaluating and comparing performance of wireless systems, like for any other scientific area, requires the ability to reproduce experimental results. In this paper, we describe the specific issues that we encountered when focusing on reproducing the experiments described in a paper related to wireless systems. We selected the OpenRF paper published in SIGCOMM 2013, a very interesting research work allowing to perform beamforming on commodity WiFi devices. We illustrate how reproducibility is strongly dependent on the used hardware, and why an extensive knowledge of the used hardware and its design is necessary. On the basis of this experience, we propose some recommendations and lessons for the design of reproducible wireless experiments.
4 citations
TL;DR: In this paper , the authors proposed a long-term effective, robust, and accurate device-free passive fingerprinting localization scheme LTLoc, which only requires a single communication link and takes the amplitudes extracted from the CSI along with the calibrated phases as fingerprints and trains a deep neural network (DNN) regression model to estimate the target location.
Abstract: With the rapid development of location-based IoT applications in recent years, indoor device-free passive localization based on Wi-Fi channel state information (CSI) has attracted considerable attention. In this article, we propose a long-term effective, robust, and accurate device-free passive fingerprinting localization scheme LTLoc, which only requires a single communication link. It takes the amplitudes extracted from the CSI along with the calibrated phases as fingerprints and trains a deep neural network (DNN) regression model to estimate the target location. Since Wi-Fi signals are susceptible to various environmental factors, CSI fingerprints also change over time, making the performance of the localization model built with the fingerprint database drop dramatically over a long period, and recalibrating the entire positioning area is laborious and time-consuming. To address this problem, we design an adaptive DNN (AdaptDNN) based on meta-networks by combining deep learning and domain adaptive methods. It can use meta-network learning to determine which layers and features of the DNN need to be transferred to automatically adapt to CSI fingerprints change. Extensive evaluations in an indoor environment with significantly different CSI fingerprints over six days have shown that LTLoc’s effectiveness in coping with changing CSI fingerprints over a long period is significantly superior to existing work in terms of localization and adaptability.
4 citations
References
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30 Aug 2010
TL;DR: It is shown that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide, and the rate prediction is as good as the best rate adaptation algorithms for 802.
Abstract: RSSI is known to be a fickle indicator of whether a wireless link will work, for many reasons. This greatly complicates operation because it requires testing and adaptation to find the best rate, transmit power or other parameter that is tuned to boost performance. We show that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide. Our model uses 802.11n Channel State Information measurements as input to an OFDM receiver model we develop by using the concept of effective SNR. It is simple, easy to deploy, broadly useful, and accurate. It makes packet delivery predictions for 802.11a/g SISO rates and 802.11n MIMO rates, plus choices of transmit power and antennas. We report testbed experiments that show narrow transition regions (
697 citations
"Tool release: gathering 802.11n tra..." refers methods in this paper
...It works on up-to-date Linux operating systems: in our testbed we use Ubuntu 10.04 LTS with the 2.6.36 kernel....
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01 Oct 2001
TL;DR: The Internet is going mobile and wireless, perhaps quite soon, with a number of diverse technologies leading the charge, including, 3G cellular networks based on CDMA technology, a wide variety of what is deemed 2.5G cellular technologies (e.g., EDGE, GPRS and HDR), and IEEE 802.11 wireless local area networks (WLANs).
Abstract: At some point in the future, how far out we do not exactly know, wireless access to the Internet will outstrip all other forms of access bringing the freedom of mobility to the way we access the we...
615 citations
07 Jan 2010
TL;DR: This tutorial provides a brief introduction to multiple antenna techniques, and describes the two main classes of those techniques, spatial diversity and spatial multiplexing.
Abstract: The use of multiple antennas and MIMO techniques based on them is the key feature of 802.11n equipment that sets it apart from earlier 802.11a/g equipment. It is responsible for superior performance, reliability and range. In this tutorial, we provide a brief introduction to multiple antenna techniques. We describe the two main classes of those techniques, spatial diversity and spatial multiplexing. To ground our discussion, we explain how they work in 802.11n NICs in practice.
89 citations