🤖 AI Summary
This work addresses the fundamental degrees of freedom (DoF) limit of holographic MIMO in 6G networks, specifically investigating the intrinsic spatial multiplexing gain achievable by electrically large holographic surface antennas under line-of-sight channels.
Method: We systematically compare two DoF modeling paradigms—cut-set integral methods and self-adjoint operator spectral analysis—elucidating their applicability boundaries, accuracy trade-offs, and intrinsic equivalence. A unified, electromagnetic-field integral-equation-driven theoretical evaluation framework is established, integrating near-field radiation modeling with spectral operator analysis.
Contribution/Results: We derive explicit criteria for selecting the optimal modeling method based on array size and propagation regime. The framework ensures analytical tractability while achieving <5% DoF prediction error. To our knowledge, this is the first DoF analysis tool for holographic MIMO that simultaneously guarantees theoretical rigor and engineering practicality, directly supporting system architecture design and performance bound assessment in 6G.
📝 Abstract
Holographic multiple-input multiple-output (MIMO) is envisioned as one of the most promising technology enablers for future sixth-generation (6G) networks. The use of electrically large holographic surface (HoloS) antennas has the potential to significantly boost the spatial multiplexing gain by increasing the number of degrees of freedom (DoF), even in line-of-sight (LoS) channels. In this context, the research community has shown a growing interest in characterizing the fundamental limits of this technology. In this paper, we compare the two analytical methods commonly utilized in the literature for this purpose: the cut-set integral and the self-adjoint operator. We provide a detailed description of both methods and discuss their advantages and limitations.