新空口异构网络中下行协调多点传输的深度学习
网络与互联网体系结构
2019-03-18 v4
摘要
我们提出一种方法以提升异构第五代新空口（NR）网络中下行协调多点（DL CoMP）的性能。该符合标准的方法基于利用深度学习构建代理 CoMP 触发函数。协作集为以频分双工模式（即无信道互易性）运行的单层 sub-6 GHz 异构基站。该代理函数通过对特征的非线性交互及低偏置学习模型进行在线学习，改善了下行用户吞吐量的分布。在仿真中，所提方法在现实且可扩展的异构蜂窝环境中优于工业标准。
引用
@article{arxiv.1812.03421,
title = {Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks},
author = {Faris B. Mismar and Brian L. Evans},
journal= {arXiv preprint arXiv:1812.03421},
year = {2019}
}
备注
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