A deep reinforcement learning based mechanism for cell outage compensation in 5G UDN
Ultra Dense Networks (UDN) have become one of the key technologies for 5G wireless
communications, which can meet the requirements of high-traffic, high-density wireless …
communications, which can meet the requirements of high-traffic, high-density wireless …
A deep reinforcement learning based mechanism for cell outage compensation in massive IoT environments
As one of the key technologies of 5G, massive IoT environments provide the ubiquitous IoT
services. Compared with 4G, its structure is more complex, and it has a large number of …
services. Compared with 4G, its structure is more complex, and it has a large number of …
Deep reinforcement learning aided cell outage compensation framework in 5G cloud radio access networks
As one of the key technologies of 5G, Cloud Radio Access Networks (C-RAN) with cloud
BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can …
BBUs (Base Band Units) pool architecture and distributed RRHs (Remote Radio Heads) can …
A survey on applications of deep reinforcement learning in resource management for 5G heterogeneous networks
YL Lee, D Qin - 2019 Asia-Pacific Signal and Information …, 2019 - ieeexplore.ieee.org
Heterogeneous networks (HetNets) have been regarded as the key technology for fifth
generation (5G) communications to support the explosive growth of mobile traffics. By …
generation (5G) communications to support the explosive growth of mobile traffics. By …
A cell outage compensation mechanism based on IPSO for 5G ultra-dense small cell networks
To cope with the increment of mobile communication in 5G networks, Internet Service
Providers are planning to adopt base stations with less power and smaller coverage in a …
Providers are planning to adopt base stations with less power and smaller coverage in a …
A deep-learning-based radio resource assignment technique for 5G ultra dense networks
Recently, deep learning has emerged as a state-of-the-art machine learning technique with
promising potential to drive significant breakthroughs in a wide range of research areas. The …
promising potential to drive significant breakthroughs in a wide range of research areas. The …
Hybrid cell outage compensation in 5G networks: Sky-ground approach
Unmanned Aerial Vehicles (UAVs) enabled communications is a novel and attractive area of
research in cellular communications. It provides several degrees of freedom in time, space …
research in cellular communications. It provides several degrees of freedom in time, space …
Proactive load balancing through constrained policy optimization for ultra-dense networks
M Huang, J Chen - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Designing an intelligent self-organizing network (SON) architecture is challenging for future
wireless networks. To meet the needs of SON, the reactive self-organizing model of the …
wireless networks. To meet the needs of SON, the reactive self-organizing model of the …
Radio resource allocation for 5G networks using deep reinforcement learning
YY Munaye, RT Juang, HP Lin… - 2021 30th Wireless …, 2021 - ieeexplore.ieee.org
The emerging 5G mobile network technology is intended to deliver an effective platform for
the communication of devices within users. In this study, the proposed method enables the …
the communication of devices within users. In this study, the proposed method enables the …
Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks
Heterogeneous cellular networks can offload the mobile traffic and reduce the deployment
costs, which have been considered to be a promising technique in the next-generation …
costs, which have been considered to be a promising technique in the next-generation …