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Can Channels be Fully Inferred Between Two Antenna Panels?

Y. Qiu, D. W, Y. Zeng

TL;DR

This work addresses CSI overhead in two-panel massive MIMO where panels may operate at different frequencies. It proposes a geometry-based channel inference method that leverages the known MPCs from one panel to reconstruct or partially reconstruct the channel on the other panel across four propagation scenarios. In far-field and near-field free-space, the second-panel channel can be fully inferred (with appropriate AoD and gain relations). In multi-path sharing scenarios, only angle information or angle ranges can be inferred, with CKM suggested as a fallback for complex environments. Validation via 3D ray-tracing shows high inference accuracy, indicating substantial potential for reducing real-time CSI signaling in multi-panel, cross-band MIMO deployments.

Abstract

This letter considers a two-panel massive multiple-input multiple-output (MIMO) communication system, where the base station (BS) is equipped with two antenna panels that may use different frequency bands for communication. By exploiting the geometric relationships between antenna panels, efficient channel inference methods across antenna panels are proposed to reduce the overhead of real-time channel estimation. Four scenarios are considered, namely far-field free-space, near-field free-space, multi-path sharing far-field scatterers, and multi-path sharing near-field scatterers. For both far-field and near-field free-space scenarios, we show that the channel of one panel can be fully inferred from that of the other panel, as long as the multi-path components (MPCs) composing the channel can be resolved. On the other hand, for the multi-path scenarios sharing far-field or near-field scatterers, only the angles or range of angles of the MPCs can be inferred, respectively. Simulation results based on commercial 3D ray-tracing software are presented to validate our developed channel inference techniques.

Can Channels be Fully Inferred Between Two Antenna Panels?

TL;DR

This work addresses CSI overhead in two-panel massive MIMO where panels may operate at different frequencies. It proposes a geometry-based channel inference method that leverages the known MPCs from one panel to reconstruct or partially reconstruct the channel on the other panel across four propagation scenarios. In far-field and near-field free-space, the second-panel channel can be fully inferred (with appropriate AoD and gain relations). In multi-path sharing scenarios, only angle information or angle ranges can be inferred, with CKM suggested as a fallback for complex environments. Validation via 3D ray-tracing shows high inference accuracy, indicating substantial potential for reducing real-time CSI signaling in multi-panel, cross-band MIMO deployments.

Abstract

This letter considers a two-panel massive multiple-input multiple-output (MIMO) communication system, where the base station (BS) is equipped with two antenna panels that may use different frequency bands for communication. By exploiting the geometric relationships between antenna panels, efficient channel inference methods across antenna panels are proposed to reduce the overhead of real-time channel estimation. Four scenarios are considered, namely far-field free-space, near-field free-space, multi-path sharing far-field scatterers, and multi-path sharing near-field scatterers. For both far-field and near-field free-space scenarios, we show that the channel of one panel can be fully inferred from that of the other panel, as long as the multi-path components (MPCs) composing the channel can be resolved. On the other hand, for the multi-path scenarios sharing far-field or near-field scatterers, only the angles or range of angles of the MPCs can be inferred, respectively. Simulation results based on commercial 3D ray-tracing software are presented to validate our developed channel inference techniques.
Paper Structure (12 sections, 4 theorems, 14 equations, 6 figures, 1 table)

This paper contains 12 sections, 4 theorems, 14 equations, 6 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Model
  3. Channel Inference Across Panels
  4. Far-field Free-Space
  5. Near-field Free-Space
  6. Multi-path Sharing Far-field Scatterers
  7. Multi-path Sharing Near-field Scatterers
  8. Simulation results
  9. Free-Space scenarios
  10. Multi-path scenarios
  11. Conclusion
  12. Proof of the inference of ${{\alpha }}\left( {{\lambda}_{2}} \right)$ in \ref{['eq7']}

Key Result

Theorem 1

In the far-field free-space scenario, ${{\mathbf{h}}_{2}}$ can be fully inferred from ${{\mathbf{h}}_{1}}$ by using $\theta_{2}=\theta_{1}$, $\phi_{2}=\phi_{1}$, and ${{\alpha }}\left( {{\lambda}_{2}} \right)$ in eq7.

Figures (6)

  • Figure 1: Wireless communication where the BS is equipped with two antenna panels.
  • Figure 2: Geometric relation between two panels in near-field free-space .
  • Figure 3: Geometric relation between two panels in multi-path scenario sharing near-field scatterers.
  • Figure 4: Comparison of channel correlation coefficient for the inference methods in far-/near-field free-space scenario with three different panel spacings.
  • Figure 5: Physical environment for two-panel communications. The red little boxes are ${\rm Panel}_{1}$ and ${\rm Panel}_{2}$. The green little squares that cover the entire area are UE locations, and they are spaced 2.5 meters apart. The large red and gray objects are buildings. The green irregular objects are vegetation, and the blue area is the pond.
  • ...and 1 more figures

Theorems & Definitions (4)

  • Theorem 1
  • Theorem 2
  • Theorem 3
  • Theorem 4