A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …
different communication environments are expected to be satisfied. As a new evolution …
[HTML][HTML] A survey on resource management for 6G heterogeneous networks: current research, future trends, and challenges
The sixth generation (6G) mobile communication system is expected to meet the different
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …
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 …
A comprehensive survey on radio resource management in 5G HetNets: Current solutions, future trends and open issues
The 5G network technologies are intended to accommodate innovative services with a large
influx of data traffic with lower energy consumption and increased quality of service and user …
influx of data traffic with lower energy consumption and increased quality of service and user …
Deep reinforcement learning for user association and resource allocation in heterogeneous networks
Heterogeneous networks (HetNets) can offload the traffic and reduce the deployment cost,
which is regarded as a promising technique in next-generation cellular networks. Because …
which is regarded as a promising technique in next-generation cellular networks. Because …
Deep learning for radio resource allocation with diverse quality-of-service requirements in 5G
To accommodate diverse Quality-of-Service (QoS) requirements in 5th generation cellular
networks, base stations need real-time optimization of radio resources in time-varying …
networks, base stations need real-time optimization of radio resources in time-varying …
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 …
A machine learning approach for power allocation in HetNets considering QoS
R Amiri, H Mehrpouyan, L Fridman… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
There is an increase in usage of smaller cells or femtocells to improve performance and
coverage of next-generation heterogeneous wireless networks (HetNets). However, the …
coverage of next-generation heterogeneous wireless networks (HetNets). However, the …
Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey
N Sharma, K Kumar - Physical Communication, 2021 - Elsevier
With an exaggerating upsurge in mobile data traffic, the wireless networks are confronted
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …
Deep reinforcement learning for dynamic uplink/downlink resource allocation in high mobility 5G HetNet
Recently, the 5G is widely deployed for supporting communications of high mobility nodes
including train, vehicular and unmanned aerial vehicles (UAVs) largely emerged as the …
including train, vehicular and unmanned aerial vehicles (UAVs) largely emerged as the …