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集群内容缓存:一种深度强化学习方法,用于提高无细胞大规模多输入多输出网络的能源效率

Fangqing Tan1, Yuan Peng1, Qiang Liu2

  • 1Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
概括

本研究介绍了一种缓存辅助的无电池大规模MIMO系统,以减少微视频应用的能源消耗和传输延迟. 提出的深度强化学习方法优化了内容缓存,接入点集群和数字对模拟转换器分辨率,以提高能源效率.

关键词:
没有细胞的大型MIMO.内容缓存 内容缓存深度决定性的政策梯度算法能源效率是指能效的能源效率.

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