Deep learning techniques to improve radio resource management in vehicular communication network
This paper investigates the deep learning techniques to improve radio resource
management (RRM) in vehicular communication network (VCN). In this paper, the deep …
management (RRM) in vehicular communication network (VCN). In this paper, the deep …
5G vehicular network resource management for improving radio access through machine learning
The current cellular technology and vehicular networks cannot satisfy the mighty strides of
vehicular network demands. Resource management has become a complex and …
vehicular network demands. Resource management has become a complex and …
A federated deep learning empowered resource management method to optimize 5G and 6G quality of services (QoS)
H Alsulami, SH Serbaya… - Wireless …, 2022 - Wiley Online Library
The quality of service (QoS) in 5G/6G communication enormously depends upon the
mobility and agility of the network architecture. An increase in the possible uses of 5G …
mobility and agility of the network architecture. An increase in the possible uses of 5G …
Machine learning and artificial intelligence in next-generation wireless network
Due to the advancement in technologies, the next-generation wireless network will be very
diverse, complicated, and according to the changed demands of the consumers. The current …
diverse, complicated, and according to the changed demands of the consumers. The current …
Deep reinforcement learning-based resource allocation for cellular vehicular network mode 3 with underlay approach
J Fu, X Qin, Y Huang, L Tang, Y Liu - Sensors, 2022 - mdpi.com
Vehicle-to-vehicle (V2V) communication has attracted increasing attention since it can
improve road safety and traffic efficiency. In the underlay approach of mode 3, the V2V links …
improve road safety and traffic efficiency. In the underlay approach of mode 3, the V2V links …
RBF-SVM based resource allocation scheme for 5G CRAN networks
N Singh, S Agrawal, T Agarwal… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Cloud Radio Access Network (CRAN) is one of the possible solutions to provide high data
rates for next generation users (fifth generation). Additionally, CRAN also reduces the …
rates for next generation users (fifth generation). Additionally, CRAN also reduces the …
Deep learning for radio resource allocation in multi-cell networks
The increased complexity and heterogeneity of emerging 5G and B5G wireless networks will
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …
require a paradigm shift from traditional resource allocation mechanisms. Deep learning …
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 based dynamic resource allocation in cloud radio access networks
Cloud radio access network (C-RAN) is a promising architecture to fulfill the ever-increasing
resource demand in telecommunication networks. In C-RAN, a base station is decoupled …
resource demand in telecommunication networks. In C-RAN, a base station is decoupled …
Design of deep learning model for radio resource allocation in 5G for massive iot device
With recent advancements in Internet of Things (IoT) communications, the demand for fastest
communication is an utmost concern of the IoT technology. The advent of 5G …
communication is an utmost concern of the IoT technology. The advent of 5G …