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Editorial: Machine Learning and Intelligent Communications
Xin-Lin Huang et al.
MOBILE NETWORKS & APPLICATIONS (2018)
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Mei Meng et al.
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Haitao Zhao et al.
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Jeffrey G. Andrews et al.
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Zhenzhe Zheng et al.
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NATURE (2015)
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation
Mustafa Riza Akdeniz et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2014)
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Andrew T. Campbell et al.
IEEE INTERNET COMPUTING (2008)
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