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Data-Driven Intelligent Future Network: Architecture, Use Cases, and Challenges.

, , , , , and . IEEE Communications Magazine, 57 (7): 34-40 (2019)

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A Machine Learning Approach of Load Balance Routing to Support Next-Generation Wireless Networks., , , , , and . IWCMC, page 1317-1322. IEEE, (2019)Self-learning Congestion Control of MPTCP in Satellites Communications., , , , , and . IWCMC, page 775-780. IEEE, (2019)Blockchain-Based Distributed Software-Defined Vehicular Networks via Deep Q-Learning., , , , and . DIVANet@MSWiM, page 8-14. ACM, (2018)Random Access and Virtual Resource Allocation in Software-Defined Cellular Networks With Machine-to-Machine Communications., , , , , and . IEEE Trans. Vehicular Technology, 66 (7): 6399-6414 (2017)An Optimal Routing Algorithm in Service Customized 5G Networks., , , and . Mobile Information Systems, (2016)MSML: A Novel Multilevel Semi-Supervised Machine Learning Framework for Intrusion Detection System., , , , and . IEEE Internet of Things Journal, 6 (2): 1949-1959 (2019)Virtual Network Embedding Based on Computing, Network, and Storage Resource Constraints., , and . IEEE Internet of Things Journal, 5 (5): 3298-3304 (2018)A novel energy efficiency algorithm in green mobile networks with cache., , , , and . EURASIP J. Wireless Comm. and Networking, (2015)A Novel Ultra-Wide Band Signal Generation Scheme Based on Carrier Interference and Dynamics Suppression., , , and . EURASIP J. Wireless Comm. and Networking, (2010)Towards next generation software-defined radio access network-architecture, deployment, and use case., , , and . EURASIP J. Wireless Comm. and Networking, (2016)