Raw channel metrics from Ettus N210 USRP for common randomness generation

Citation Author(s):
Prashanth K.
H. Sheshagiri
Technische Universität Dresden
Martin
Reisslein
Arizona State University
Juan
Alberto Cabrera
Technische Universität Dresden
Frank H.
P. Fitzek
Technische Universität Dresden
Submitted by:
Prashanth Kumar...
Last updated:
Sat, 11/16/2024 - 07:48
DOI:
10.21227/tn1p-p947
License:
0
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Abstract 

Common Randomness (CR) can be considered as a resource in our future communication systems, that will assist in various operations such as cryptographic encryption in wireless communication, improving identification capacity for identification codes, etc. In wireless communication, CR can be conveniently generated by reading the reciprocal channel properties between two wireless terminals, and by sending pilot signals to each other using the time division duplexing (TDD)-based half-duplexing method. In much more efficient CR generation, the pilot signals can be replaced with the actual message signals. However, irrespective of the type of signal used, the reciprocity of the channel properties remains the same, if certain channel conditions such as channel coherence time are maintained. This is termed as channel probing stage. In the next stage, a random but correlated channel metric is extracted, which can be termed as random-parameter extraction stage. In this dataset, we present the raw channel metrics that are extracted using a pilot signal-based channel probing technique, that can be used in generating CR between two terminals. This dataset contains channel probing using TDD and random parameter extraction implemented on Ettus N210 software-defined radio (SDR). Four-channel metrics are stored in 8 different .txt files: signal received signal strength indicator in dB, carrier frequency offset in Hz, received signal amplitude in volts, and phase offset in degrees. The channel metrics are measured for static and fading scenarios. The text files containing "...SDR1.txt" belong to one of the SDR terminals and "...SDR2.txt" belongs to the second SDR terminal.

Instructions: 

Use the Python script in the database to extract each of the channel metrics.

Funding Agency: 
6G-life, CeTi
Grant Number: 
16KISK001K, 390696704

Comments

SDR channel metrics

Submitted by Prashanth Kumar... on Fri, 11/15/2024 - 12:07