Channel prediction based on machine-learning algorithms

Xue Jiang, Zhimeng Zhong
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Abstract

In this chapter, the authors address the wireless channel prediction using state-ofthe-art machine-learning techniques, which is important for wireless communication network planning and operation. Instead of the classic model-based methods, the authors provide a survey of recent advances in learning-based channel prediction algorithms. Some open problems in this field are then proposed.
基于机器学习算法的信道预测
在本章中,作者使用最先进的机器学习技术来解决无线信道预测问题,这对无线通信网络的规划和运行非常重要。代替经典的基于模型的方法,作者提供了基于学习的通道预测算法的最新进展的调查。在此基础上,提出了该领域的一些有待解决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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