{"product_id":"artificial-intelligence-enabled-rf-and-optical-communication-networks","title":"Artificial Intelligence-Enabled RF and Optical Communication Networks","description":"The text explores the role of artificial intelligence in converging RF and optical technologies for 5G\/6G and IoT. It addresses emergent challenges such as quantum security, intelligent spectrum sharing and hybrid FSO-RF resilience.   Covers machine learning and deep learning techniques for enhancing spectrum efficiency, latency reduction, and adaptive beamforming in converged RF and free-space optical networks.   Explores Artificial Intelligence-based massive MIMO, reconfigurable intelligent surfaces, and dynamic beam alignment for next-generation wireless networks.   Discusses federated learning, edge computing, and lightweight artificial intelligence models for resource-constrained Internet of Things devices in RF-optical hybrid networks.   Addresses generative adversarial networks (GANs) for channel prediction, physical-layer security, and adversarial attack mitigation in intelligent communication systems.   Presents reinforcement learning (RL) and graph neural networks (GNNs) for real-time resource management, QoS optimization, and network slicing in 5G\/6G ecosystems.   The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, optical communication, RF, wireless communication, telecommunication, and communication system design.","brand":"Gardners","offers":[{"title":"Default Title","offer_id":57613223002485,"sku":"9781041342908","price":145.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/backstory.london\/products\/artificial-intelligence-enabled-rf-and-optical-communication-networks","provider":"Backstory","version":"1.0","type":"link"}