Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have
emerged from IoT technology, which refers to connecting many vehicles with various …
emerged from IoT technology, which refers to connecting many vehicles with various …
An overview on the application of graph neural networks in wireless networks
In recent years, with the rapid enhancement of computing power, deep learning methods
have been widely applied in wireless networks and achieved impressive performance. To …
have been widely applied in wireless networks and achieved impressive performance. To …
Edge artificial intelligence for 6G: Vision, enabling technologies, and applications
KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …
wireless networks. It has been envisioned that 6G will be transformative and will …
Model-based deep learning
Signal processing, communications, and control have traditionally relied on classical
statistical modeling techniques. Such model-based methods utilize mathematical …
statistical modeling techniques. Such model-based methods utilize mathematical …
Learning to optimize: A primer and a benchmark
Learning to optimize (L2O) is an emerging approach that leverages machine learning to
develop optimization methods, aiming at reducing the laborious iterations of hand …
develop optimization methods, aiming at reducing the laborious iterations of hand …
Deep joint source-channel coding for wireless image transmission
E Bourtsoulatze, DB Kurka… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We propose a joint source and channel coding (JSCC) technique for wireless image
transmission that does not rely on explicit codes for either compression or error correction; …
transmission that does not rely on explicit codes for either compression or error correction; …
Deep learning in physical layer communications
DL has shown great potential to revolutionize communication systems. This article provides
an overview of the recent advancements in DL-based physical layer communications. DL …
an overview of the recent advancements in DL-based physical layer communications. DL …
Artificial intelligence-enabled cellular networks: A critical path to beyond-5G and 6G
R Shafin, L Liu, V Chandrasekhar… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Mobile network operators (MNOs) are in the process of overlaying their conventional macro
cellular networks with shorter range cells such as outdoor pico cells. The resultant increase …
cellular networks with shorter range cells such as outdoor pico cells. The resultant increase …
Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels
In this article, we develop an end-to-end wireless communication system using deep neural
networks (DNNs), where DNNs are employed to perform several key functions, including …
networks (DNNs), where DNNs are employed to perform several key functions, including …
A taxonomy of AI techniques for 6G communication networks
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …