基于连续孔径阵列的轨道角动量（OAM）大容量通信用于元宇宙
Continuous-Aperture Array Based OAM High-Capacity Communication For Metaverse
AI总结：
针对沉浸式元宇宙的海量数据交互需求，提出基于连续孔径阵列（CAPA）的轨道角动量（OAM）正交传输方案，突破离散阵列模式数量限制，从电磁信息论推导信道并研究频谱效率上界，为元宇宙大容量通信提供新方案。
摘要：
沉浸式元宇宙的海量数据交互需求要求采用新兴技术实现大容量通信。不同轨道角动量（OAM）模式的涡旋电磁波具有空间正交性，为实现大容量通信提供了新的空间复用维度。然而，基于离散均匀圆形阵列（UCA）的正交OAM模式数量受限于UCA的阵元数，且传统离散信道模型无法准确捕捉涡旋电磁波传播的物理特性。连续孔径阵列（CAPA）由密集排布的电磁激励单元组成，能够灵活高效地生成所需表面电流，以产生任意数量的相互正交OAM模式。从电磁信息论（EIT）的角度，我们提出一种基于CAPA的OAM正交传输方案来实现大容量通信。我们使用傅里叶基函数设计CAPA的表面电流，推导涡旋电磁波的电磁信道，并研究基于CAPA的OAM正交传输的频谱效率上界。本文为EIT在涡旋电磁波正交传输中的应用奠定了理论基础，为实现基于CAPA的高效大容量通信提供了新方案。
英文摘要：
The extensive data interaction demands of an immersive metaverse necessitate the adoption of emerging technologies to enable high-capacity communication. Vortex electromagnetic waves with different orbital angular momentum (OAM) modes are spatially orthogonal, providing a novel spatial multiplexing dimension to achieve high-capacity communication. However, the number of orthogonal OAM modes based on a discrete uniform circular array (UCA) is limited by the number of array elements in the UCA, and traditional discrete channel models are unable to accurately capture the physical properties of vortex electromagnetic wave propagation. The continuous-aperture array (CAPA) is composed of densely packed electromagnetic excitation elements, capable of flexibly and efficiently generating the desired surface currents to produce an arbitrary number of mutually orthogonal OAM modes. From the perspective of electromagnetic information theory (EIT), we propose a CAPA-based OAM orthogonal transmission scheme to realize high-capacity communication. We design the surface currents of the CAPA using Fourier basis functions, derive the electromagnetic channel for vortex electromagnetic waves, and investigate the upper bound of the spectrum efficiency for CAPA-based OAM orthogonal transmission. This paper establishes a theoretical foundation for applying EIT to the orthogonal transmission of vortex electromagnetic waves, offering a novel solution for achieving CAPA-based efficient and high-capacity communication.
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