近场通信径向分辨率的分析框架
Analytical Framework of Radial Resolution for Near-Field Communications
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中文总结 AI 辅助
本文提出一个基于角谱表示的分析框架，通过可调波束间重叠参数合成多个焦区并控制径向分辨率，揭示了用户容量与干扰间的权衡，为近场通信提供设计指南。
中文摘要 AI 辅助
随着超大规模天线阵列（ELAAs）成为下一代无线系统的核心，进入近场传播区域使得利用球面波前进行径向域波束聚焦成为可能。这一能力对于需要精确空间隔离的新兴应用至关重要，例如空分多址（SDMA）、分层定位和先进感知。然而，充分实现这些技术需要特定的设计规则来维度化多用户系统，而无需依赖计算昂贵的全波仿真。为了解决对具有可控径向分辨率的连续焦区建模的空白，本文扩展了角谱表示（ASR）方法，提出了一个全面的分析框架。通过引入可调的波束间重叠参数ρ，我们推导出闭合形式的表达式来合成多个焦区，提供了定制其径向分辨率的灵活性。此外，分析了分辨率能力，以表征关键操作变量（如发射机尺寸、波束半径和工作频率）之间的相互作用。在不同信噪比（SNR）条件下对每用户和总频谱效率的系统级评估揭示了波束间重叠如何决定用户容量与用户间干扰之间的基本权衡，为未来近场通信提供了设计指南。
英文摘要
As extremely large antenna arrays (ELAAs) become central to next-generation wireless systems, the transition into the near-field propagation regime enables the exploitation of spherical wavefronts for radial-domain beamfocusing. This capability is pivotal for emerging applications requiring precise spatial isolation, such as Space Division Multiple Access (SDMA), hierarchical localization and advanced sensing. However, fully realizing these technologies requires specific design rules to dimension multi-user systems without relying on computational expensive full-wave simulations. To address the gap in modeling contiguous focal regions with controllable radial resolution, this paper expands the Angular Spectrum Representation (ASR) approach to propose a comprehensive analytical framework. Through the introduction of a tunable inter-beam overlap parameter $ρ$, we derive closed-form expressions to synthesize multiple focal regions, providing the flexibility to tailor their radial resolution. Furthermore, the resolution capabilities are analyzed to characterize the interplay between key operational variables, such as the transmitter size, beam radius and operation frequency. System-level assessment of per-user and sum-rate spectral efficiencies across varying signal-to-noise (SNR) regimes reveals how the inter-beam overlap dictates a fundamental trade-off between user capacity and inter-user interference, delivering design guidelines for future near-field communications.
发表机构
- University of Piraeus（比雷埃夫斯大学）
机构由 AI 辅助整理，请以论文原文为准。
