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An Experimental Multi-Band Channel Characterization in the Upper Mid-Band

Roberto Bomfin, Ahmad Bazzi, Hao Guo, Hyeongtaek Lee, Marco Mezzavilla, Sundeep Rangan, Junil Choi, Marwa Chafii

Abstract

The following paper provides a multi-band channel measurement analysis on the frequency range (FR)3. This study focuses on the FR3 low frequencies 6.5 GHz and 8.75 GHz with a setup tailored to the context of integrated sensing and communication (ISAC), where the data are collected with and without the presence of a target. A method based on multiple signal classification (MUSIC) is used to refine the delays of the channel impulse response estimates. The results reveal that the channel at the lower frequency 6.5 GHz has additional distinguishable multipath components in the presence of the target, while the one associated with the higher frequency 8.75 GHz has more blockage. The set of results reported in this paper serves as a benchmark for future multi-band studies in the FR3 spectrum.

An Experimental Multi-Band Channel Characterization in the Upper Mid-Band

Abstract

The following paper provides a multi-band channel measurement analysis on the frequency range (FR)3. This study focuses on the FR3 low frequencies 6.5 GHz and 8.75 GHz with a setup tailored to the context of integrated sensing and communication (ISAC), where the data are collected with and without the presence of a target. A method based on multiple signal classification (MUSIC) is used to refine the delays of the channel impulse response estimates. The results reveal that the channel at the lower frequency 6.5 GHz has additional distinguishable multipath components in the presence of the target, while the one associated with the higher frequency 8.75 GHz has more blockage. The set of results reported in this paper serves as a benchmark for future multi-band studies in the FR3 spectrum.

Paper Structure

This paper contains 17 sections, 7 equations, 7 figures.

Figures (7)

  • Figure 1: Measurement environment at NYU Wireless, Brooklyn, NY, USA (https://wireless.engineering.nyu.edu/).
  • Figure 2: Locations and antenna orientations setup.
  • Figure 3: Upper part: The smoothed MUSIC-PDP vs a classical CIR-PDP. Lower part: The estimated path gains per path delay. The vertical dashed line corresponds to the target location only when a target of interest is present, and $\tau c$ is the additional distance traveled by the path in relation to the line-of-sight.
  • Figure 4: Frequency $6.5\GHz$. Histograms of the estimated number of multipath components, with and without target.
  • Figure 5: Frequency $8.75\GHz$. Histograms of the estimated number of multipath components, with and without target.
  • ...and 2 more figures