[HTML][HTML] Federated learning for 6G: Applications, challenges, and opportunities
Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …
center, where centralized machine-learning algorithms can be applied for data analysis and …
A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks
O Maraqa, AS Rajasekaran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …
(B5G) wireless networks require new solutions, including the advent of more advanced …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
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 …
services, such as virtual/augmented reality and Internet-of-Everything, next generation …
Grant-free non-orthogonal multiple access for IoT: A survey
MB Shahab, R Abbas… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Massive machine-type communications (mMTC) is one of the main three focus areas in the
5th generation (5G) of wireless communications technologies to enable connectivity of a …
5th generation (5G) of wireless communications technologies to enable connectivity of a …
Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Future Internet involves several emerging technologies such as 5G and beyond 5G
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
networks, vehicular networks, unmanned aerial vehicle (UAV) networks, and Internet of …
A prospective look: Key enabling technologies, applications and open research topics in 6G networks
The fifth generation (5G) mobile networks are envisaged to enable a plethora of
breakthrough advancements in wireless technologies, providing support of a diverse set of …
breakthrough advancements in wireless technologies, providing support of a diverse set of …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
Multi-agent reinforcement learning-based resource allocation for UAV networks
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing both cost-effective and on-demand wireless communications. This article …
providing both cost-effective and on-demand wireless communications. This article …
A systematic review on NOMA variants for 5G and beyond
Over the last few years, interference has been a major hurdle for successfully implementing
various end-user applications in the fifth-generation (5G) of wireless networks. During this …
various end-user applications in the fifth-generation (5G) of wireless networks. During this …
Joint design for simultaneously transmitting and reflecting (STAR) RIS assisted NOMA systems
Different from traditional reflection-only reconfigurable intelligent surfaces (RISs),
simultaneously transmitting and reflecting RISs (STAR-RISs) represent a novel technology …
simultaneously transmitting and reflecting RISs (STAR-RISs) represent a novel technology …