核心概念
One-bit Massive MIMO channel estimation and data detection using AdaBoost offer efficient and scalable solutions with lower computational complexities.
摘要
The article discusses the challenges of using one-bit ADCs in massive MIMO systems and proposes AdaBoost-based methods for channel estimation and data detection. It compares the proposed methods with existing techniques, showcasing their efficiency and performance. The content is structured as follows:
- Introduction to Massive MIMO Systems
- Challenges of Using One-Bit ADCs
- Channel Estimation and Data Detection Approaches
- Comparison with Existing Methods
- Simulation Results and Performance Evaluation
- Computational Complexity Analysis
統計資料
"The computational complexity required for implementation of both GDA-based classifiers and AdaBoost make the proposed algorithms efficient, and easily scalable."
"The computations for one-bit GDA-Ada-1 and one-bit GDA-Ada-2 channel estimators can be straightforwardly parallelized."
引述
"Numerical results validate the efficiency of the proposed channel estimators and data detectors compared to other methods."
"The AdaBoost-based methods are highly efficient, particularly when considering one-bit large-scale MIMO-OFDM systems."