ML-based radio resource management in 5G and beyond networks: A survey
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
Learning radio resource management in RANs: Framework, opportunities, and challenges
In the fifth generation (5G) of mobile broadband systems, radio resource management
(RRM) will reach unprecedented levels of complexity. To cope with the ever more …
(RRM) will reach unprecedented levels of complexity. To cope with the ever more …
Effects of differentiated 5G services on computational and radio resource allocation performance
J Janković, Ž Ilić, A Oračević… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
5G is poised to support new emerging service types that help in the realization of futuristic
applications. These services include enhanced Mobile BroadBand (eMBB), ultra-Reliable …
applications. These services include enhanced Mobile BroadBand (eMBB), ultra-Reliable …
DRL-based channel and latency aware radio resource allocation for 5G service-oriented RoF-mmWave RAN
A channel and latency aware radio resource allocation algorithm based on deep
reinforcement learning (DRL) is proposed and evaluated. The proposed scheme aims to …
reinforcement learning (DRL) is proposed and evaluated. The proposed scheme aims to …
Evolution toward 6G multi-band wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
Radio resource and beam management in 5G mmWave using clustering and deep reinforcement learning
M Elsayed, M Erol-Kantarci - GLOBECOM 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
To optimally cover users in millimeter-Wave (mmWave) networks, clustering is needed to
identify the number and direction of beams. The mobility of users motivates the need for an …
identify the number and direction of beams. The mobility of users motivates the need for an …
Evolution toward 6G wireless networks: A resource management perspective
In this article, we first present the vision, key performance indicators, key enabling
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
techniques (KETs), and services of 6G wireless networks. Then, we highlight a series of …
AI-based radio resource allocation in support of the massive heterogeneity of 6G networks
There is a consensus in industry and academia that 6G wireless networks will incorporate
massive heterogeneous radio access technologies (RATs) in order to cater to the high …
massive heterogeneous radio access technologies (RATs) in order to cater to the high …
Radio resource management in emerging heterogeneous wireless networks
Deployment of heterogeneous wireless networks is spreading throughout the world as users
want to be connected anytime, anywhere, and anyhow. Meanwhile, these users are …
want to be connected anytime, anywhere, and anyhow. Meanwhile, these users are …