Dataset-5: February 2022: CC1, CC2, LW1 Spectrum Measurements

2023

2022, 85 MHz – 6 GHz, Rural, Spectrum Occupancy Measurements, Urban

Canonical Experiments, UHD Python-API, UHD1:Spectrum Monitoring

Spectrum Measurements

Lead Experimenter

Ozgur Ozdemir, North Carolina State University

Link to Dataset

Dataset Link:
This dataset includes spectrum occupancy measurements at CC1, CC2, and LW1 fixed nodes over a period of one week. The SigMF format dataset including format conversion codes can be accessed here [Dryad].

Publications Using This Dataset

S. J. Maeng, I. Guvenc, M. Sichitiu, B. A. Floyd, R. Dutta, T. Zajkowski, O. Ozdemir, M. Mushi, “National Radio Dynamic Zone Concept with Autonomous Aerial and Ground Spectrum Sensors,” Proc. IEEE Int. Conf. Commun. (ICC) Workshops, May 2022.

Equipment and Software Used

USRP B205mini on fixed Aerpaw node, UHD1 Spectrum monitoring software

Description

In this experiment, spectrum measurements are carried out at the AERPAW fixed nodes CC1, CC2, and LW1, for a period of 1 week, for 24 hours every day. The USRP B205mini continuously sweeps the spectrum up to 6 GHz and power measurements at each frequency band are logged. The results are post-processed in Matlab to observe the spectrum occupancy at different bands, and we observe the effect of different days/hours of the week on spectrum occupancy as well as the specific urban/rural locations of the fixed nodes on the spectrum occupancy.

Representative Results

You can access representative results on the spectrum occupancy can be viewed here: CC1, CC2, LW1.

Result figures
(Left) Spectrum occupancy at CC1, CC2, LW1, at Verizon’s Band 13 Uplink LTE band for a representative day; and (Right) Spectrum occupancy at CC1, CC2, LW1, at Verizon’s Band 13 Downlink LTE band for a representative day. Both spectrum results are post-processed using a moving average filter. CC1 is a lightpole fixed node and CC2 is a rooftop fixed node at NC State Centennial Campus. LW1 is a tower fixed node in Lake Wheeler Field Labs.

Potential use cases for this dataset include:

Spectrum Management and Allocation
Cognitive Radio Research and Development
Regulatory and Policy Research
Urban Planning and Smart Cities