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Artificial Intelligence for Wireless Networks

  • Statistical learning for power spectrum and channel gain cartography
  • Advanced Optimization and Deep Learning for multi-objective resource allocation.
  • Data-driven generative machine learning models for networks
  • Adaptive algorithms for networks based on reinforcement learning
  • Testbed design for smart Software-Defined Radios
  • Protocol Implementation for Wireless Communication and Sensor Networks
  • Energy Harvesting for Wireless Embedded Systems & IoT Devices
  • Data mining for prediction and reasoning in wireless communications
  • Complexity analysis and algorithms for NP-Hard network problems

Other Research Areas

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