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FML: Fast Machine Learning for 5G mmWave Vehicular Communications., , , , and . INFOCOM, page 1961-1969. IEEE, (2018)Sub-Exponentially Many 3-Colorings of Triangle-Free Planar Graphs., , and . Electron. Notes Discret. Math., (2009)SCAROS: A Scalable and Robust Self-Backhauling Solution for Highly Dynamic Millimeter-Wave Networks., , , , and . IEEE J. Sel. Areas Commun., 37 (12): 2685-2698 (2019)Opportunistic Device-to-Device Communication in Cellular networks: From Theory to Practice.. CoRR, (2016)Designing, building, and characterizing RF switch-based reconfigurable intelligent surfaces., , , , , and . MobiCom, page 841-843. ACM, (2022)An enhanced cross layer downlink scheduling algorithm for IEEE 802.16 networks., and . ICOIN, page 212-217. IEEE Computer Society, (2011)Blockchain Empowered Resource Trading in Mobile Edge Computing and Networks., , , , and . ICC, page 1-6. IEEE, (2019)A Channel Measurement Campaign for mmWave Communication in Industrial Settings., , , , and . CoRR, (2019)An Online Context-Aware Machine Learning Algorithm for 5G mmWave Vehicular Communications., , , , and . IEEE/ACM Trans. Netw., 26 (6): 2487-2500 (2018)A Survey on Device-to-Device Communication in Cellular Networks., , and . CoRR, (2013)