Evaluating the Beamforming Impact on Channel Dispersion Characterization Using Multiscenario Sub-THz Channel Measurements
Zhang, Peize; De Guzman, Mar Francis; Lyu, Yejian; Haneda, Katsuyuki; Tervo, Nuutti; Pärssinen, Aarno; Kyösti, Pekka (2024-11-07)
Zhang, Peize
De Guzman, Mar Francis
Lyu, Yejian
Haneda, Katsuyuki
Tervo, Nuutti
Pärssinen, Aarno
Kyösti, Pekka
IEEE
07.11.2024
P. Zhang et al., "Evaluating the Beamforming Impact on Channel Dispersion Characterization Using Multiscenario Sub-THz Channel Measurements," in IEEE Transactions on Antennas and Propagation, vol. 73, no. 1, pp. 469-481, Jan. 2025, doi: 10.1109/TAP.2024.3489959.
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
© 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202411086662
https://urn.fi/URN:NBN:fi:oulu-202411086662
Tiivistelmä
Abstract
To provide substantially high capacity, future 6G networks will be able to operate in higher frequency bands than current 5G networks. However, owing to the significant differences in channel characteristics between lower bands (< 100 GHz) and sub-terahertz (sub-THz) band (i.e., 100–300 GHz), novel waveform and air interface design for sub-THz systems need to account for the radio channels observed by practical beam patterns. In this paper, we investigate the beamforming impact on the characterization of angular and time dispersion based on extensive measured channel data at 142 GHz across multiple scenarios. A post-processing method for analysis of beamforming impact on channel dispersion is proposed using measured propagation channel data. Since sub-THz radio links necessitate high antenna gains, we first find the potential beam directions from beamformed channels and then form single- and multi-beam patterns towards desired directions under practical constraints. The angular spread of the beamformed channels observed by steered beams will be widened especially in line-of-sight scenarios. The beam-weighted radio channel is considered as the basis of calculating time dispersion parameters, i.e., beam gains are multiplied by the measured propagation path gains before the analysis. Preliminary results show that the reduction of delay spread and maximum excess delay depends mainly on scenario, link distance, and used beamwidth, and partly on sidelobe level.
To provide substantially high capacity, future 6G networks will be able to operate in higher frequency bands than current 5G networks. However, owing to the significant differences in channel characteristics between lower bands (< 100 GHz) and sub-terahertz (sub-THz) band (i.e., 100–300 GHz), novel waveform and air interface design for sub-THz systems need to account for the radio channels observed by practical beam patterns. In this paper, we investigate the beamforming impact on the characterization of angular and time dispersion based on extensive measured channel data at 142 GHz across multiple scenarios. A post-processing method for analysis of beamforming impact on channel dispersion is proposed using measured propagation channel data. Since sub-THz radio links necessitate high antenna gains, we first find the potential beam directions from beamformed channels and then form single- and multi-beam patterns towards desired directions under practical constraints. The angular spread of the beamformed channels observed by steered beams will be widened especially in line-of-sight scenarios. The beam-weighted radio channel is considered as the basis of calculating time dispersion parameters, i.e., beam gains are multiplied by the measured propagation path gains before the analysis. Preliminary results show that the reduction of delay spread and maximum excess delay depends mainly on scenario, link distance, and used beamwidth, and partly on sidelobe level.
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