Title: Extremely large-scale Array Systems: Near-Filed Codebook Design and Performance Analysis Show Chinese title

Title: 超大规模阵列系统：近场码本设计与性能分析

Abstract: Extremely large-scale Array (ELAA) promises to deliver ultra-high data rates with more antenna elements. Meanwhile, the increase of antenna elements leads to a wider realm of near-field, which challenges the traditional design of codebooks. In this paper, we propose novel codebook design schemes which provide better quantized correlation with limited overhead. First, we analyze the correlation between codewords and channel vectors uniform linear array (ULA) and uniform planar array (UPA). The correlation formula for the ULA channel can be expressed as an elliptic function, and the correlation formula for the UPA channel can be represented as an ellipsoid formula. Based on the analysis, we design a uniform sampling codebook to maximize the minimum quantized correlation and a dislocation ULA codebook to reduce the number of quantized bits further. Besides, we give a better sampling interval for the codebook of the UPA channel. Numerical results demonstrate the appealing advantages of the proposed codebook over existing methods in quantization bit number and quantization accuracy. Show Chinese abstract

Abstract: 超大规模阵列（ELAA）有望通过更多的天线元件提供超高速数据速率。 同时，天线元件的增加导致了更广泛的近场区域，这挑战了传统码本的设计。 在本文中，我们提出了新颖的码本设计方案，能够在有限开销下提供更好的量化相关性。 首先，我们分析了码字与均匀线性阵列（ULA）和均匀平面阵列（UPA）信道向量之间的相关性。 ULA信道的相关性公式可以表示为椭圆函数，而UPA信道的相关性公式可以表示为椭球公式。 基于分析，我们设计了一个均匀采样码本以最大化最小量化相关性，并设计了一个错位ULA码本以进一步减少量化比特数。 此外，我们给出了UPA信道码本的更好采样间隔。 数值结果展示了所提出的码本在量化比特数和量化精度方面相对于现有方法的优势。