Abstract Modern communication networks require improved signal quality and spectrum efficiency. Modern wireless communication relies heavily on the multiple input multiple output (MIMO) technology to improve spectrum efficiency and achieve faster data rates. However, the performance of MIMO systems is significantly hampered by non-linear distortions in power amplifiers (PA), especially under dynamic operating conditions. Traditional methods to reduce these distortions often lack the adaptability required for effective optimization. The proposed dynamic nonlinear distortion adaptive optimization analysis (DNDAOA) therefore introduces an adaptive approach that dynamically adjusts the pre-distortion signals using real-time feedback mechanisms. DNDAOA effectively reduces non-linear distortions and thus improves the performance of MIMO systems. Simulation results show that DNDAOA significantly increases spectrum efficiency, reduces error rates, and improves signal quality. This method is widely used in areas such as wireless telecommunications, internet of things (IoT), autonomous vehicles, and smart infrastructure, driving advances in connectivity, reliability, and data integrity.

R Jayarani

N Narmadhai

Measurement Science Review

- 测量理论 - 测量数据的数学处理 - 测量不确定性最小化 - 数据评估和建模中的统计方法 - 作为跨学科活动的测量 - 教育中的测量科学 - 医学成像方法、图像处理 - 生物信号测量、处理和分析 - 基于模型生物测量 -​​ 生物测量中的神经网络 - 生物医学中的遥测 - 纳米医学中的测量 - 基本物理量的测量 - 磁场和电场测量 - 几何和机械量的测量 - 光学测量方法 - 电磁兼容性 - 材料科学中的测量

Measurement Science Review covers the following topics: measurement theory, mathematical processing of measurement data, minimization of measurement uncertainty, statistical methods in data evaluation and modeling, interdisciplinary measurement activities, measurement science in education, medical imaging methods and image processing, measurement, processing, and analysis of biological signals, model-based biometrics, neural networks in biometrics, telemetry in biomedicine, measurement in nanomedicine, measurement of fundamental physical quantities, measurement of magnetic and electric fields, measurement of geometric and mechanical quantities, optical measurement methods, electromagnetic compatibility, and measurement in materials science.

测量科学评论（Measurement Science Review）涵盖以下主题：测量理论、测量数据的数学处理、测量不确定性的最小化、数据评估和建模中的统计方法、跨学科的测量活动、教育中的测量科学、医学成像方法与图像处理、生物信号的测量、处理与分析、基于模型的生物测量、生物测量中的神经网络、医学中的遥测、纳米医学中的测量、基本物理量的测量、磁场和电场的测量、几何和机械量的测量、光学测量方法、电磁兼容性以及材料科学中的测量。

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Enhancing Wireless Communication Efficiency Using Dynamic Nonlinear Distortion Adaptive Optimization Analysis

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