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Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms.

, , , , , , , and . Wirel. Commun. Mob. Comput., (2018)

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Performance Tradeoff in Relay Aided D2D-Cellular Networks., , , , and . IEEE Trans. Vehicular Technology, 67 (10): 10144-10149 (2018)Interference Modeling of Cognitive Radio Networks., , and . VTC Spring, page 1851-1855. IEEE, (2008)Energy Efficiency Evaluation of Cellular Networks Based on Spatial Distributions of Traffic Load and Power Consumption., , , , and . CoRR, (2014)Nash Bargaining over MIMO Interference Systems., , , and . ICC, page 1-5. IEEE, (2009)Wireless Fractal Cellular Networks., , , , , , , , , and . CoRR, (2016)5G green cellular networks considering power allocation schemes., , , , and . CoRR, (2015)Multi-frequency millimeter wave massive MIMO channel measurements and analysis., , , , , and . ICC, page 1-6. IEEE, (2017)Reinforcement learning approaches and evaluation criteria for opportunistic spectrum access., , and . ICC, page 1508-1513. IEEE, (2014)Comparison of Propagation Channel Characteristics for Multiple Millimeter Wave Bands., , , , , and . VTC Spring, page 1-5. IEEE, (2017)A new VLC channel model for underground mining environments., , , and . IWCMC, page 2134-2139. IEEE, (2017)