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3篇 您的检索式:作者名="Peihao DONG"
    题名 作者 年代 出处 被引量
1Acquisition of channel state information for mm Wave massive MIMO: traditional and machine learning-based approaches显示文摘The accuracy of channel state information(CSI) acquisition directly affects the performance of millimeter wave(mmWave) communications. In this article, we provide an overview on CSI acquisition,including beam training and channel estimation for mmWave massive multiple-input multiple-output systems.The beam training can avoid the estimation of a high-dimension channel matrix, while the channel estimation can flexibly exploit advanced signal processing techniques. In addition to introducing the traditional and machine learning-based approaches in this article, we also compare different approaches in terms of spectral efficiency, computational complexity, and overhead.Chenhao QI Peihao DONG Wenyan MA Hua ZHANG Zaichen ZHANG Geoffrey Ye LI 2021Science China(Information Sciences)2021,64,8:3
2Tangeretin, a citrus polymethoxyflavonoid, induces apoptosis of humangastric cancer AGS cells through extrinsic and intrinsic signaling pathways显示文摘Yang Dong Aili Cao Jianrong Shi Peihao Yin Li Wang Guang Ji Jianqun Xie Dazheng Wu 2014Oncology Reports2014,,:1
3Edge Semantic Cognitive Intelligence for 6G Networks:Novel Theoretical Models,Enabling Framework,and Typical Applications显示文摘Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks,but the organic confluence of edge computing and artificial intelligence still needs to be carefully treated.To this end,this article discusses the concepts of edge intelligence from the semantic cognitive perspective.Two instructive theoretical models for edge semantic cognitive intelligence(ESCI)are first established.Afterwards,the ESCI framework orchestrating deep learning with semantic communication is discussed.Two representative applications are present to shed light on the prospect of ESCI in 6G networks.Some open problems are finally listed to elicit the future research directions of ESCI.Peihao Dong Qihui Wu Xiaofei Zhang Guoru Ding 2022China Communications2022,19,8:0
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