Intelligent Reflecting Surface Operation under Predictable Receiver Mobility: A Continuous Time Propagation Model

The operation of an intelligent reflecting surface (IRS) under predictable receiver mobility is investigated. We develop a continuous time system model for multipath channels and discuss the optimal IRS configuration with respect to received power, Doppler spread, and delay spread. It is shown that the received power can be maximized without adding Doppler spread to the system. In a numerical case study, we show that an IRS having the size of just two large billboards can improve the link budget of ground to Low Earth Orbit (LEO) satellite links by up to 6 dB. It also adds a second, almost equivalently strong, communication path that improves the link reliability

IoT device identification dataset

This is the main record in the IoT device measurements connected to the paper "Identification of IoT Devices using Experimental Radio Spectrum Dataset and Deep Learning". This is a connecting dataset that references all the actual data. The records are split because of the large size of the dataset. The records containing the data are found at the following DOIs: Raw data Other room: 10.5281/zenodo.3646427 Upstairs: 10.5281/zenodo.3641580 Same room: 10.5281/zenodo.3638163 Background measurement: 10.5281/zenodo.3638139 Multi user data (No fading): 10.5281/zenodo.3754210 Multi user data: 10.5281/zenodo.3753003 Cut and dimensionality reduced measurements: 10.5281/zenodo.3752981 Common parameters for all the measurements: Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Multi user data

Artificial multi user observations generated as described in the associated paper Section III. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Background

Background measurements of the 868 MHz ISM band. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Upstairs

Upstairs measurements of the 868 MHz ISM band. The transmitter devices are placed in a room a floor above the measurement setup. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Same room

Same room measurements of the 868 MHz ISM band. The transmitter device and receiver are placed in the same room. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Other room

Other room measurements of the 868 MHz ISM band. The transmitter device is placed in an adjacent room to the receiver. Both transmitter and receiver are on the same floor. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Multi user data (No fading)

Artificial multi user observations without added fading generated as described in the associated paper Section III. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar

IoT device identification - Cut and dimensionality reduced measurements

This repository contains: - Cut measurements corresponding to all the original data, but reduced in bandwidth and augmented as described in the associated paper - The PCA dimensionality reduced data based on the single and multi user data. Frequency: 863-870 MHz (center 866,5 MHz) Sample Frequency: 10 MSPS Date of measurement: 15 November 2018 Location: Connectivity Lab, Fredrik Bajers Vej 7C, Aalborg University, Denmar