The frontiers of deep reinforcement learning for resource management in future wireless HetNets: Techniques, challenges, and research directions

A Alwarafy, M Abdallah, BS Çiftler… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …

Optimal resource scheduling algorithm for cell boundaries users in heterogenous 5G networks

R Gatti, AK GB, SK KN, S Palle, TR Gadekallu - Physical Communication, 2022 - Elsevier
Deployment of small cells over the existing cellular network is an effective solution to
improve the system coverage and throughput of fifth generation (5G) mobile communication …

Hypergraph-based interference avoidance resource management in customer-centric communication for intelligent cyber-physical transportation systems

J Huang, S Zhang, F Yang, T Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In customer-centric communication for intelligent cyber-physical transportation systems
(ICTS), the extensive deployment of customer electronics will lead to massive overlapping …

Spectrum efficient communication for heterogeneous IoT networks

D Gao, L Wang, B Hu - IEEE Transactions on Network Science …, 2022 - ieeexplore.ieee.org
Spectrum sharing for coexistence between heterogenous IoT (Internet of Things) networks
degrades data communication effectiveness severely. Cross-Technology Communication …

Energy-efficient resource allocation for NOMA-based heterogeneous 5G mine internet of things

Q Zhao, W Yang, L Zhang - IEEE Access, 2022 - ieeexplore.ieee.org
The Mine Internet of Things (MIoT), as an application paradigm of the IoT in mine
environment, realizes the state perception and information interaction by connecting …

Energy-efficiency optimization for multiple access in NOMA-enabled space–air–ground networks

S Wang, Z Fei, J Guo, Q Cui, S Durrani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Due to the flexible deployment of unmanned aerial vehicles (UAVs) and the wide-area
coverage of satellites, the space–air–ground (SAG) communication network can provide …

Efficient resource allocation using distributed edge computing in D2D based 5G-HCN with network slicing

L Nadeem, Y Amin, J Loo, MA Azam, KK Chai - IEEE Access, 2021 - ieeexplore.ieee.org
Fifth Generation (5G) cellular networks aim to overcome the pressing demands posed by
dynamic Quality of Service (QoS) constraints, which have primarily remained unaddressed …

Energy-efficient joint resource allocation for heterogeneous cellular networks with wireless backhauls

J Ma, H Gao, L Guo, H Li - AEU-International Journal of Electronics and …, 2024 - Elsevier
The extensive utilization of wireless services, coupled with the exponential surge in data
traffic, has triggered substantial energy consumption. Thereby, growing attentions have …

AoI-Aware Resource Allocation With Interference Avoidance for Ultra-Dense Industrial Internet of Things Networks

J Huang, T Yu, F Yang, S Zhang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In an ultra-dense Industrial Internet of Things (UDI-IoT) network with device-to-device (D2D)
communication technology applied, interaction among a large number of industrial Internet …

Energy efficient power allocation for ultra‐reliable and low‐latency communications via unsupervised learning

H Zhao, B Xu, H Huang, Q Wang, C Zhu… - IET …, 2023 - Wiley Online Library
Energy efficiency (EE) is an important indicator in ultra‐reliable and low‐latency
communication (URLLC). Power allocation is considered as an effective method to achieve …