Deterministic Formulization of SNR for Wireless Multiuser DS-CDMA Networks

TL;DR

This paper introduces a deterministic formulation of SNR in wireless multiuser DS-CDMA networks, linking computational complexity reduction via the TM algorithm to improved and stable SNR values for better BER performance.

Contribution

It provides a novel quantification of SNR based on the TM algorithm's complexity, demonstrating how complexity reduction leads to consistent SNR and enhanced network performance.

Findings

Complexity reduction yields higher, more stable SNR values.

Stable SNR improves BER performance.

Simulation confirms the theoretical benefits.

Abstract

Wireless Multiuser receivers suffer from their relatively higher computational complexity that prevents widespread use of this technique. In addition, one of the main characteristics of multi-channel communications that can severely degrade the performance is the inconsistent and low values of SNR that result in high BER and poor channel capacity. It has been shown that the computational complexity of a multiuser receiver can be reduced by using the transformation matrix (TM) algorithm [4]. In this paper, we provide quantification of SNR based on the computational complexity of TM algorithm. We show that the reduction of complexity results high and consistent values of SNR that can consequently be used to achieve a desirable BER performance. In addition, our simulation results suggest that the high and consistent values of SNR can be achieved for a desirable BER performance. The performance measure adopted in this paper is the consistent values of SNR.