Numerical Approach to Maximize SNR for CDMA Systems
Hirofumi Tsuda, Ken Umeno

TL;DR
This paper introduces a numerical method to optimize spreading sequences in CDMA systems, aiming to maximize SNR by formulating a differentiable model and solving a nonlinear programming problem.
Contribution
It presents a novel differentiable formulation of SNR in CDMA, enabling numerical optimization of spreading sequences for improved wireless communication performance.
Findings
Successfully maximized SNR through numerical optimization
Generated spreading sequences with guaranteed high SNR
Demonstrated effectiveness in non-fading conditions
Abstract
Signal to Noise Ratio (SNR) is an important index for wireless communications. There are many methods for increasing SNR. In CDMA systems, spreading sequences are used. To increase SNR, we have to improve spreading sequences. In classical approaches, the expression of SNR is not differentiable in terms of the parameter of the spreading sequences even in no fading situations. Thus, we express it as the differentiable form and construct the non-linear programing for maximizing SNR. In particular, we solve the problem of maximizing SNR numerically by obtaining spreading sequences whose SNR is guaranteed to be high.
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Taxonomy
TopicsWireless Communication Networks Research · Advanced Wireless Communication Techniques · Advanced MIMO Systems Optimization
