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Updated: Jul 15, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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在基于RSMA的综合卫星陆地网络中,用于优化能源效率的受限制DRL

Qingmiao Zhang1, Lidong Zhu1, Yanyan Chen2

  • 1National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究介绍了一种能源效率高的资源分配方法,用于使用率分割多重访问 (RSMA) 的综合卫星-地面网络. 拟议的受约束软演员-关键 (SAC) 算法优化了性能,同时满足了服务质量 (QoS) 的要求.

关键词:
有限制的深度强化学习学习.能源效率是指能效的能源效率.综合卫星地面网络.价格将多个访问权限分成两部分.柔软的演员-批评家

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