Deep learning at the physical layer: System challenges and applications to 5G and beyond
F Restuccia, T Melodia - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
The unprecedented requirements of IoT have made fine-grained optimization of spectrum
resources an urgent necessity. Thus, designing techniques able to extract knowledge from …
resources an urgent necessity. Thus, designing techniques able to extract knowledge from …
Big data goes small: Real-time spectrum-driven embedded wireless networking through deep learning in the RF loop
F Restuccia, T Melodia - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
The explosion of 5G networks and the Internet of Things will result in an exceptionally
crowded RF environment, where techniques such as spectrum sharing and dynamic …
crowded RF environment, where techniques such as spectrum sharing and dynamic …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
Machine learning paradigms for next-generation wireless networks
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 …
radically new applications, which require a new wireless radio technology paradigm. The …
Deep learning for wireless communications: An emerging interdisciplinary paradigm
Wireless communications are envisioned to bring about dramatic changes in the future, with
a variety of emerging applications, such as virtual reality, Internet of Things, and so on …
a variety of emerging applications, such as virtual reality, Internet of Things, and so on …
Learning to communicate with autoencoders: Rethinking wireless systems with deep learning
ME Morocho-Cayamcela, JN Njoku… - … in Information and …, 2020 - ieeexplore.ieee.org
The design and implementation of conventional communication systems are based on
strong probabilistic models and assumptions. These fixed and conventional communication …
strong probabilistic models and assumptions. These fixed and conventional communication …
Deep learning techniques for advancing 6G communications in the physical layer
As current 5G communication systems cannot fulfill the stringent requirements brought by
emerging applications, 6G will innovatively employ deep learning (DL) techniques to …
emerging applications, 6G will innovatively employ deep learning (DL) techniques to …
Deep learning for wireless physical layer: Opportunities and challenges
Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …
communication systems for various purposes, such as deployment of cognitive radio and …
Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
A study on deep learning for latency constraint applications in beyond 5G wireless systems
The fifth generation (5G) of wireless communications has led to many advancements in
technologies such as large and distributed antenna arrays, ultra-dense networks, software …
technologies such as large and distributed antenna arrays, ultra-dense networks, software …