AI-Aided 3-D Beamforming for Millimeter Wave Communications

Wei Cheng Kao, Shi Qing Zhan, Ta-Sung Lee

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

Millimeter wave (mmWave) communications are a mainstream technology of the fifth generation (5G) systems. Beamforming plays an important role in mmWave communications thanks to its ability to provide beamforming gain to compensate the high propagation and penetration loss in the mmWave bands. To reduce the overhead (time and power consumption) in mmWave beamforming, AI techniques can be employed to enhance beam selection efficiency. We here propose a method that uses a machine learning algorithm to learn the features of mmWave channels by off-line training to assist online beam selection so that the overhead is significantly reduced without degrading the beamforming performance. The proposed framework involves codebook-based beam selection and local learning-based clustering algorithm with feature selection (LLC-fs). Simulation results are conducted to confirm the performance of the proposed method in three aspects, scalability, robustness and compatibility.

原文English
主出版物標題ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems
發行者Institute of Electrical and Electronics Engineers Inc.
頁面278-283
頁數6
ISBN(電子)9781538657713
DOIs
出版狀態Published - 11月 2018
事件2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018 - Ishigaki Island, Okinawa, Japan
持續時間: 27 11月 201830 11月 2018

出版系列

名字ISPACS 2018 - 2018 International Symposium on Intelligent Signal Processing and Communication Systems

Conference

Conference2018 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2018
國家/地區Japan
城市Ishigaki Island, Okinawa
期間27/11/1830/11/18

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