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Predicting Device-to-Device Channels From Cellular Channel Measurements: A Learning Approach

机译：从蜂窝通道测量预测设备到设备通道：学习方法

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Mehyar Najla; Zdenek Becvar; Pavel Mach; David Gesbert;
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年度 2020
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1. Predicting Device-to-Device Channels From Cellular Channel Measurements: A Learning Approach [J] . Najla Mehyar, Becvar Zdenek, Mach Pavel, IEEE transactions on wireless communications . 2020,第11期

机译：从蜂窝通道测量预测设备到设备通道：学习方法
2. Coverage Probability Analysis of Device-to-Device Communication Underlaid Cellular Networks in Uplink Over κ-μ/η - μ Fading Channels [J] . Indrasen Singh, Niraj Pratap Singh International journal of wireless information networks . 2019,第1期

机译：κ-μ/η-μ衰落信道上上行链路中设备到设备通信的蜂窝网络的覆盖概率分析
3. Analysis of dedicated and shared device-to-device communication in cellular networks over Nakagami-m fading channels [J] . Sandeep Joshi, Ranjan K. Mallik Communications, IET . 2017,第10期

机译：Nakagami-m衰落信道上蜂窝网络中专用和共享的设备间通信分析
4. Outage Probability of Device-to-Device Communication Underlaying Cellular Network over Nakagami/Rayleigh Fading Channels [C] . Indrasen Singh, R. K. Jaiswal, Varun Kumar, International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing . 2019

机译：Nakagami / Rayleigh衰落信道上支持蜂窝网络的设备到设备通信的中断概率
5. Predicting channel stability in Colorado mountain streams using hydrobiogeomorphic and land use data: A cost-sensitive machine learning approach to modeling rapid assessment protocols. [D] . Moret, Stephanie Louise. 2001

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6. A new electro-optical approach for conductance measurement: an assay for the study of drugs acting on ligand-gated ion channels [O] . A. Menegon, S. Pitassi, N. Mazzocchi, -1

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7. Channel Allocation and Power Control for Device-to-Device Communications Underlaying Cellular Networks Incorporated With Non-Orthogonal Multiple Access [O] . Huakui Sun, Daosen Zhai, Zhenfeng Zhang, 2019

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Predicting Device-to-Device Channels From Cellular Channel Measurements: A Learning Approach

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