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2.4 GHZ Indoor Channel Measurements Data Set
Download: Data Folder, Data Set Description

Abstract: Measurement of the S21,consists of 10 sweeps, each sweep contains 601 frequency points with spacing of 0.167MHz to cover a 100MHz band centered at 2.4GHz.

Data Set Characteristics:  

Multivariate

Number of Instances:

7840

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

5

Date Donated

2018-11-30

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

30562


Source:

Mohamed AlHajri, Massachusetts Institute of Technology, malhajri '@' mit.edu
Nazar Ali, Khalifa University, nazar.ali '@' ku.ac.ae
Raed Shubair, Massachusetts Institute of Technology, rshubair '@' mit.edu


Data Set Information:

Abstract:
The frequency domain measurement of the scattering parameter, S21, of the wireless channel was carried out using the ZVB14 Vector Network Analyzer (VNA) from Rhode and Schwartz. The measurement system consists of the VNA, low loss RF cables, and omnidirectional antennas at the transmitter and receiver ends. The transmitter and receiver heights were fixed at 1.5 m. A program script was written for the VNA to measure 10 consecutive sweeps: each sweep contains 601 frequency sample points with spacing of 0.167 MHz to cover a 100 MHz band centered at 2.4 GHz. The settings provided a high time-domain resolution of 10 nsec (inverse of the bandwidth) and a time span of (0.167 MHz) = 5.99 μsec . The measurements were designed to examine the WiFi bands specifically, channels 1, 6, and 11 in the IEEE 802.11 standard.

The frequency domain channel measurements were conducted at Khalifa University campus in Sharjah, UAE. The measurements were done in 4 different locations:
1- Lab139 (highly cluttered)
2- Corridor_rm155 (medium cluttered) [with wall from one side and windows from the
other side].
3- Main_Lobby (low cluttered)
4- Sports_Hall (open space).
Instructions:
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Details of the dataset:
The frequency domain measurement of the scattering parameter, S21, of the wireless channel was carried out using the ZVB14 Vector Network Analyzer (VNA) from Rhode and Schwartz. The measurement system consists of the VNA, low loss RF cables, and omnidirectional antennas at the transmitter and receiver ends. The transmitter and receiver heights were fixed at 1.5 m. A program script was written for the VNA to measure 10 consecutive sweeps: each sweep contains 601 frequency sample points with spacing of 0.167 MHz to cover a 100 MHz band centered at 2.4 GHz. The settings provided a high time-domain resolution of 10 nsec (inverse of the bandwidth) and a time span of (0.167 MHz) = 5.99μsec . The measurements were designed to examine the WiFi bands specifically, channels 1, 6, and 11 in the IEEE 802.11 standard.

The frequency domain channel measurements were conducted at Khalifa University campus in Sharjah, UAE. The measurements were done in 4 different locations:
1- Lab139 (highly cluttered)
2- Corridor_rm155 (medium cluttered) [with wall from one side and windows from the other side].
3- Main_Lobby (low cluttered)
4- Sports_Hall (open space).

The layout of the floor plan is shown in Floor_Plan.pdf where the red circle represents the transmitter and the green circle represent the receiver location.

The square area was divided into uniform grids with a spacing of one wavelength (12.5 cm) that resulted in a total number of 196 points to capture the small-scale variations. The database was measured under a stationary scenario where there were no movements around the Tx/Rx at the time of measurements. This is achieved since the survey is conducted during low-activity time. This gives a total of 1960 samples because each point has 10 measurements.

In the case of Lab139 there is one set of measurements where the furthest point between the Tx/Rx is 7.1m and then the receiver will moved across the uniform grid. This gives a total of 1960 points.

In the case of Corridor_rm155 there are three set of measurements where the furthest point between Tx/Rx is 7.1m and this gives a total of 1960 points.

In the case of Main_Lobby there are three set of measurements where the furthest point between Tx/Rx is 7.1m and this gives a total of 1960 points.

In the case of Sport_Hall there is one set of measurements where the furthest point between the Tx/Rx is 7.1m and this gives a total of 1960 points.

filename format (environment_Tx/Rx(separation)) i.e Corridor_rm155_7.1 : The environment is a narrow corridor with walls from one side and window from the other side and the Tx/Rx maximum separation is 7.1m and as the receiver is moved across the uniform grid it decreases.

Each file will Loc_xxxx and this will resemble the location of the receiver and each location have ten measurements. The flow of
numbers on the uniform grid is shown in Flow_of_Numbering.pdf
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Questions:
Feel free to reach me at my email:
malhajri '@' mit.edu
mialhajri1 '@' gmail.com
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Citation:
If you will use this dataset please cite the following document:
1- First paper
@inproceedings{alhajri2016classification,
title={Classification of indoor environments based on spatial correlation of rf channel fingerprints},
author={Alhajri, MI and Alsindi, N and Ali, NT and Shubair, RM},
booktitle={Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on},
pages={1447--1448},
year={2016},
}
2- Second paper
@article{alhajri2018classification,
title={Classification of Indoor Environments for IoT Applications: A Machine Learning Approach},
author={AlHajri, Mohamed Ibrahim and Ali, Nazar T and Shubair, Raed M},
journal={IEEE Antennas and Wireless Propagation Letters},
year={2018},
publisher={IEEE}
}


Attribute Information:

This dataset have 5 attributes:
1- Frequency
2- Real part of S11 parameter
3- Imaginary part of S11 parameter
4- Real part of S21 parameter
5- Imaginary part of S21 parameter


Relevant Papers:

Salahat, Ehab, Ahmed Kulaib, Nazar Ali, and Raed Shubair. 'Investigation of wireless channel asymmetry in indoor environments.' arXiv preprint [Web Link] (2017).
AlHajri, Mohamed Ibrahim, Nazar T. Ali, and Raed M. Shubair. 'Classification of Indoor Environments for IoT Applications: A Machine Learning Approach.' IEEE Antennas and Wireless Propagation Letters (2018).
Salahat, Ehab, Ahmed Kulaib, Nazar Ali, and Raed Shubair. 'Exploring symmetry in wireless propagation channels.' In Networks and Communications (EuCNC), 2017 European Conference on, pp. 1-6. IEEE, 2017.
Sattarian, Mahbubeh, Javad Rezazadeh, Reza Farahbakhsh, and Alireza Bagheri. 'Indoor navigation systems based on data mining techniques in internet of things: a survey.' Wireless Networks (2018): 1-18.



Citation Request:

If you will use this dataset please cite the following document:
1- First paper
@inproceedings{alhajri2016classification,
title={Classification of indoor environments based on spatial correlation of rf channel fingerprints},
author={Alhajri, MI and Alsindi, N and Ali, NT and Shubair, RM},
booktitle={Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on},
pages={1447--1448},
year={2016},
}
2- Second paper
@article{alhajri2018classification,
title={Classification of Indoor Environments for IoT Applications: A Machine Learning Approach},
author={AlHajri, Mohamed Ibrahim and Ali, Nazar T and Shubair, Raed M},
journal={IEEE Antennas and Wireless Propagation Letters},
year={2018},
publisher={IEEE}
}


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