Quantum machine learning for 6G communication networks: State-of-the-art and vision for the future

SJ Nawaz, SK Sharma, S Wyne, MN Patwary… - IEEE …, 2019 - ieeexplore.ieee.org
The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of
intelligent networks with the provision of some isolated artificial intelligence (AI) operations …

Transfer learning promotes 6G wireless communications: Recent advances and future challenges

M Wang, Y Lin, Q Tian, G Si - IEEE Transactions on Reliability, 2021 - ieeexplore.ieee.org
In the coming 6G communications, network densification, high throughput, positioning
accuracy, energy efficiency, and many other key performance indicator requirements are …

Evolution of NOMA toward next generation multiple access (NGMA) for 6G

Y Liu, S Zhang, X Mu, Z Ding, R Schober… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …

A joint learning and communications framework for federated learning over wireless networks

M Chen, Z Yang, W Saad, C Yin… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this article, the problem of training federated learning (FL) algorithms over a realistic
wireless network is studied. In the considered model, wireless users execute an FL …

Energy efficient federated learning over wireless communication networks

Z Yang, M Chen, W Saad, CS Hong… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, the problem of energy efficient transmission and computation resource
allocation for federated learning (FL) over wireless communication networks is investigated …

Reinforcement learning in multiple-UAV networks: Deployment and movement design

X Liu, Y Liu, Y Chen - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
A novel framework is proposed for quality of experience driven deployment and dynamic
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …

Interplay between NOMA and other emerging technologies: A survey

M Vaezi, GAA Baduge, Y Liu, A Arafa… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to
scale up the number of users, enhance the spectral efficiency, and improve the user-fairness …

RIS enhanced massive non-orthogonal multiple access networks: Deployment and passive beamforming design

X Liu, Y Liu, Y Chen, HV Poor - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
A novel framework is proposed for the deployment and passive beamforming design of a
reconfigurable intelligent surface (RIS) with the aid of non-orthogonal multiple access …

[HTML][HTML] A vision on the artificial intelligence for 6G communication

TB Ahammed, R Patgiri, S Nayak - ICT Express, 2023 - Elsevier
The 6G communication network will be a sixth-sense next-generation communication
network, which will increase the worthiness of the intelligent Internet of Things. With the …

Machine learning-based load balancing algorithms in future heterogeneous networks: A survey

E Gures, I Shayea, M Ergen, MH Azmi… - IEEE Access, 2022 - ieeexplore.ieee.org
The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …