A 3D Continuous-Space Electromagnetic Channel Model for 6G Tri-Polarized Multi-user Communications

TL;DR

This paper introduces a 3D electromagnetic channel model for 6G multi-user communications, capturing continuous spatial variations and polarization effects, crucial for future system design and integrated sensing.

Contribution

It presents a novel 3D continuous-space electromagnetic channel model for tri-polarized multi-user systems, incorporating scatterers and spherical wavefronts with high-accuracy MoM calculations.

Findings

Transmit power and aperture size significantly affect channel capacity.

Scatterers influence the statistical properties of the electromagnetic channel.

Sample interval impacts the accuracy of the channel model.

Abstract

It is envisioned that the sixth generation (6G) and beyond 6G (B6G) wireless communication networks will enable global coverage in space, air, ground, and sea. In this case, both base stations and users can be mobile and will tend to move continuously in three-dimensional (3D) space. Therefore, obtaining channel state information (CSI) in 3D continuous-space is crucial for the design and performance evaluation of future 6G and B6G wireless systems. On the other hand, new 6G technologies such as integrated sensing and communications (ISAC) will also require prior knowledge of CSI in 3D continuous-space. In this paper, a 3D continuous-space electromagnetic channel model is proposed for tri-polarized multi-user communications, taking into account scatterers and spherical wavefronts. Scattered fields are calculated using the method of moments (MoM) with high accuracy. Spherical wave functions are utilized to decompose the dyadic Green's functions that connect the transmitted source currents and the received electric fields. Simulation results demonstrate that transmit power, apertures, scatterers, and sample intervals have significant impacts on statistical properties and channel capacities, providing insights into the performance of continuous-space electromagnetic channel models and the design of future wireless systems.