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篇名 |
Research on the Key Intelligent Optimization Technology of 5G Millimeter Wave Relay
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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 |
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