Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach.

IEEE Internet of Things Journal(2019)

引用 187|浏览88
暂无评分
摘要
Dynamic spectrum access (DSA) is regarded as an effective and efficient technology to share radio spectrum among different networks. As a secondary user (SU), a DSA device will face two critical problems: 1) avoiding causing harmful interference to primary users (PUs) and 2) conducting effective interference coordination with other SUs. These two problems become even more challenging for a distrib...
更多
查看译文
关键词
Sensors,Machine learning,Recurrent neural networks,Dynamic spectrum access,Reservoirs,Interference,Training
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要