Model-driven end-to-end learning for integrated sensing and communication
Integrated sensing and communication (ISAC) is envisioned to be one of the pillars of 6G.
However, 6G is also expected to be severely affected by hardware impairments. Under such …
However, 6G is also expected to be severely affected by hardware impairments. Under such …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
[图书][B] White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
A vision of 6G wireless systems: Applications, trends, technologies, and open research problems
The ongoing deployment of 5G cellular systems is continuously exposing the inherent
limitations of this system, compared to its original premise as an enabler for Internet of …
limitations of this system, compared to its original premise as an enabler for Internet of …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
RIS-based channel modeling and prototypical validation
K Weinberger, S Tewes, M Heinrichs… - WSA & SCC 2023; …, 2023 - ieeexplore.ieee.org
The reconfigurable intelligent surface (RIS) is envisioned to enable the ever-increasing
number of demanding requirements for future sixth generation (6G) wireless networks. With …
number of demanding requirements for future sixth generation (6G) wireless networks. With …
A joint radar and communication approach for 5G NR using reinforcement learning
Radar operation partly overlaps and thus interferes with 5G spectrum bands. Examples are
vehicular radar, long-range air traffic control, terminal air traffic control, marine radar, airport …
vehicular radar, long-range air traffic control, terminal air traffic control, marine radar, airport …
Next Generation Mobile Networks' Enablers: Machine Learning-Assisted Mobility, Traffic, and Radio Channel Prediction
Machine learning (ML) is an important component for enabling automation in radio access
networks (RANs). The work on applying ML for RAN has been under development for …
networks (RANs). The work on applying ML for RAN has been under development for …
Sensing our world using wireless signals
In the last few years, pervasive wireless signals have been established as a powerful
medium for ubiquitous sensing. Wireless sensing quickly becomes an active cross …
medium for ubiquitous sensing. Wireless sensing quickly becomes an active cross …