With the vision to transform the current wireless network into a cyber-physical intelligent platform capable of supporting bandwidth-hungry and latency-constrained applications, both …
Deep learning based on artificial neural networks (ANNs) is a powerful machine-learning method that, in recent years, has been successfully used to realize tasks such as image …
Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able …
D Liu, C Sun, C Yang, L Hanzo - ieee network, 2020 - ieeexplore.ieee.org
Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable or …
Next-generation wireless networks are expected to support extremely high data rates and radically new applications, which require a new wireless radio technology paradigm. The …
The recent revival of AI is revolutionizing almost every branch of science and technology. Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of …
J Wang, C Jiang, H Zhang, Y Ren… - arXiv preprint arXiv …, 2019 - researchgate.net
Next-generation wireless networks (NGWN) have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian …
W Yu, F Sohrabi, T Jiang - IEEE BITS the Information Theory …, 2022 - ieeexplore.ieee.org
Traditional communication system design has always been based on the paradigm of first establishing a mathematical model of the communication channel, then designing and …
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless …