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CSI Measurements and Initial Results for Massive MIMO to UAV Communication

Zhuangzhuang Cui, Achiel Colpaert, Sofie Pollin

TL;DR

This study shows that the presented space-time-frequency channel dataset facilitates channel correlation analysis and supports performance evaluation for MaMIMO-UAV communications.

Abstract

Non-Terrestrial Network (NTN) has been envisioned as a key component of the sixth-generation (6G) mobile communication system. Meanwhile, unmanned aerial vehicles (UAVs) play an important role in enabling and deploying NTNs. In this paper, we focus on massive multi-input multi-output (MaMIMO) supported UAV communications, where channel state information (CSI) was measured considering different heights and trajectories of a rotary-wing drone. To characterize the propagation channel for this air-to-ground link, some initial results were analyzed, such as stationary distance. To investigate the impact of channels on communication performance, we analyzed spectral efficiency (SE) by using Maximum Ratio Combining (MRC). This study shows that the presented space-time-frequency channel dataset facilitates channel correlation analysis and supports performance evaluation for MaMIMO-UAV communications.

CSI Measurements and Initial Results for Massive MIMO to UAV Communication

TL;DR

This study shows that the presented space-time-frequency channel dataset facilitates channel correlation analysis and supports performance evaluation for MaMIMO-UAV communications.

Abstract

Non-Terrestrial Network (NTN) has been envisioned as a key component of the sixth-generation (6G) mobile communication system. Meanwhile, unmanned aerial vehicles (UAVs) play an important role in enabling and deploying NTNs. In this paper, we focus on massive multi-input multi-output (MaMIMO) supported UAV communications, where channel state information (CSI) was measured considering different heights and trajectories of a rotary-wing drone. To characterize the propagation channel for this air-to-ground link, some initial results were analyzed, such as stationary distance. To investigate the impact of channels on communication performance, we analyzed spectral efficiency (SE) by using Maximum Ratio Combining (MRC). This study shows that the presented space-time-frequency channel dataset facilitates channel correlation analysis and supports performance evaluation for MaMIMO-UAV communications.
Paper Structure (13 sections, 7 equations, 12 figures)

This paper contains 13 sections, 7 equations, 12 figures.

Table of Contents

  1. Introduction
  2. Measurement
  3. Measurement System
  4. Measurement Campaigns
  5. Data Set Structure
  6. Channel Results
  7. RMS Delay Spread
  8. Temporal Channel Stationarity
  9. Antenna Correlation
  10. Performance and Mobility
  11. Spectral Efficiency
  12. Mobility
  13. Summary and Conclusion

Figures (12)

  • Figure 1: Measurement system consisting of 32-USRP base station, USRP E320 mobile station, $8\times8$ uniform rectangular array, and a DJI Inspire-2 drone.
  • Figure 2: Measurement scenario and trajectories generated by GPS information.
  • Figure 3: T1-T6 trajectories consisting of the horizontal distances and heights.
  • Figure 4: An overview of channel functions in the time-delay-Doppler domain obtained from the measurement data in 0-5 s flight for trajectory T2.
  • Figure 5: RMS delay spread as a function of 3D distance for T1-T6 trajectories.
  • ...and 7 more figures