Research on the Key Intelligent Optimization Technology of 5G Millimeter Wave Relay,ERICDATA高等教育知識庫
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篇名
Research on the Key Intelligent Optimization Technology of 5G Millimeter Wave Relay
並列篇名
Research on the Key Intelligent Optimization Technology of 5G Millimeter Wave Relay
作者 Jie Yang、Yilin Wang、Weisheng He、LianFen Huang、Yen-Ming Chu
英文摘要
5G applications put forward higher and higher requirements for wireless communication technology. 5G Multi-User Multiple-Input Multiple-Output (MU-MIMO) millimeter wave communication can carry a larger number of data, which has become the key technology of 5G network millimeter wave communication. In this paper, by studying intelligent network state prediction of AI intelligent network management, we optimize the communication of millimeter-wave relay, and propose an intelligent prediction method of multi-modal fuzzy fusion network state. By using network data provided by a company in Xiamen, the simulation results show that the average prediction accuracy of the proposed method can reach 88.45%, which is 7 to 8 percent higher than the commonly used neural network and fuzzy neural network algorithms, and achieves the purpose of improving the transmission stability and efficiency of millimeter-wave relay.
起訖頁 441-453
關鍵詞 5G network、Millimeter-Wave relay station、Intelligent optimization、Intelligent network operation and maintenance
刊名 網際網路技術學刊  
期數 202103 (22:2期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642021032202018   複製DOI
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