… B5G wirelessnetworks. Our survey touches on different aspects of wirelessnetwork design … , and network management and optimization. Then ML algorithms and applications to B5G …
… wirelessnetworks, where the network operators employ advanced data analytics, machine learning (ML), and artificialintelligence. … role of ML, artificialintelligence in making the system …
Y Fu, S Wang, CX Wang, X Hong… - IEEE network, 2018 - ieeexplore.ieee.org
… In this article, we investigate the new characteristics of 5G wirelessnetwork traffic and discuss challenges they present for 5G traffic management. Potential solutions and research …
… wirelessnetworks while ignoring the resulting challenges arising as a consequence. Therefore, major challenges that result from using AI in wirelessnetworks … of wirelessnetworks. For …
… gration of machinelearning (ML) notions across the wireless core and … artificial neural networks (ANNs)-based ML algorithms can be employed for solving various wirelessnetworking …
… This paper attempts to encourage the use of artificialintelligence techniques in wireless … which introduces artificialintelligence techniques to measure the QoS supported by the network. …
… one of the main enablers for realizing artificialintelligence (AI). The current methodology in … that implement this strategy to optimize wireless communication networks. In addition, we …
J Wang, R Li, J Wang, Y Ge, Q Zhang, W Shi - Frontiers of Information …, 2020 - Springer
… of AI in wirelessnetworks, such as using wireless data to … wireless systems but also defining future wirelessnetworks. As shown in Section 7, the deep integration of AI and wireless …
… First, we categorize and explain distinct aspects of AI that can address wirelessnetwork security threats. Although wirelessnetwork security … 2 Artificialintelligence based solutions …