Sophisticated online learning scheme for green resource allocation in 5G heterogeneous cloud radio access networks
5G is the upcoming evolution for the current cellular networks that aims at satisfying the
future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) …
future demand for data services. Heterogeneous cloud radio access networks (H-CRANs) …
Resource allocation based on Radio Intelligence Controller for Open RAN towards 6G
Q Wang, Y Liu, Y Wang, X Xiong, J Zong, J Wang… - IEEE …, 2023 - ieeexplore.ieee.org
In recent years, the open and standardized interfaces for radio access networks (Open
RAN), promoted by the standard organization O-RAN alliance, demonstrate the potential to …
RAN), promoted by the standard organization O-RAN alliance, demonstrate the potential to …
QoS-aware cell association in 5G heterogeneous networks with massive MIMO
5G cellular networks aim to improve the connection speed to ensure ultra-low latency (eg, to
support real-time video streaming service) through heterogeneous environments. HetNets …
support real-time video streaming service) through heterogeneous environments. HetNets …
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 …
Survey of radio resource management in 5G heterogeneous networks
Radio resource management (RRM) for future fifth-generation (5G) heterogeneous networks
(HetNets) has emerged as a critical area due to the increased density of small-cell networks …
(HetNets) has emerged as a critical area due to the increased density of small-cell networks …
Multi-agent reinforcement learning for dynamic resource management in 6G in-X subnetworks
The 6G network enables a subnetwork-wide evolution, resulting in a “network of
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
subnetworks”. However, due to the dynamic mobility of wireless subnetworks, the data …
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-learning-based wireless resource allocation with application to vehicular networks
It has been a long-held belief that judicious resource allocation is critical to mitigating
interference, improving network efficiency, and ultimately optimizing wireless communication …
interference, improving network efficiency, and ultimately optimizing wireless communication …
Deep reinforcement learning for QoS-constrained resource allocation in multiservice networks
In this article, we study a Radio Resource Allocation (RRA) that was formulated as a non-
convex optimization problem whose main aim is to maximize the spectral efficiency subject …
convex optimization problem whose main aim is to maximize the spectral efficiency subject …
An optimal multitier resource allocation of cloud RAN in 5G using machine learning
The networks are evolving drastically since last few years in order to meet user
requirements. For example, the 5G is offering most of the available spectrum under one …
requirements. For example, the 5G is offering most of the available spectrum under one …