机译:基于机器学习的NOMA系统中干扰调制阶数的盲检测
Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China;
Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China;
Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China;
Modulation; Feature extraction; Interference; NOMA; Machine learning algorithms; Machine learning; Blind equalizers;
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机译:盲调制检测和多媒体数据隐藏的新技术
机译:具有能量收集全双工继电器的双用户NOMA中继系统的预测概率和遍历能力及其在近用户的干扰
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