Guest Editorial for "Artificial Intelligence for Cognitive Wireless Communications"

Kai Hwang, Min Chen, Hamid Gharavi, Victor C M Leung
2019 IEEE wireless communications  
With the rapid development of wireless communication and networking technologies, novel information services and applications are expanding globally. Advanced communications and networks greatly enhance users' experience and have brought a huge impact to all aspects of people's lifestyles at home, at work, in social exchanges, and economically. Although these advanced techniques have extensively improved users' quality of experience (QoE), they are not adequate to meet the various requirements
more » ... f seamless wide-area coverage, high-capacity hot-spot, low-power massive-connections, low latency highreliability, and other scenarios. Therefore, it is a great challenge to develop smart wireless communication and networking technologies to support optimized management, dynamic configuration, and fast service composition. Derived from cognitive science and data analytics, cognitive computing can mimic or augment human intelligence, and exhibits great potential to power smart wireless communication networks. Under the new service paradigm, artificial intelligence (AI) is significant for cognitive wireless communications to meet various technical challenges. The application potentials include complicated decision making, wireless network management, resource optimization and in-depth knowledge discovery in complex wireless networking environments. Furthermore, wireless communication and network ecosystems have to be upgraded with new capabilities, such as the provisioning of personalized and smart 5G network services assisted by data cognitive intelligence, advanced wireless signal processing based on deep learning, optimized wireless communication physical layer design based on reinforcement learning, adaptive wireless resource management based on cognitive power, etc.
pmid:31579263 pmcid:PMC6774379 fatcat:43co5nivn5binkgrg5gewhjb3u