Analysis of CDMA systems that are characterized by eigenvalue spectrum

TL;DR

This paper introduces a spectral analysis approach for CDMA systems, using eigenvalue spectra of correlation matrices to evaluate performance and handle more complex system models.

Contribution

It presents a novel method that characterizes CDMA performance through eigenvalue spectra, extending analysis capabilities beyond traditional models.

Findings

Eigenvalue spectrum analysis effectively characterizes CDMA performance.

The approach handles systems with designed orthogonal signature sequences.

Enhanced system analysis for more complex CDMA configurations.

Abstract

An approach by which to analyze the performance of the code division multiple access (CDMA) scheme, which is a core technology used in modern wireless communication systems, is provided. The approach characterizes the objective system by the eigenvalue spectrum of a cross-correlation matrix composed of signature sequences used in CDMA communication, which enables us to handle a wider class of CDMA systems beyond the basic model reported by Tanaka. The utility of the novel scheme is shown by analyzing a system in which the generation of signature sequences is designed for enhancing the orthogonality.