A survey on resource management for 6g heterogeneous networks: Current research, future trends, and challenges

HF Alhashimi, MHDN Hindia, K Dimyati, EB Hanafi… - Electronics, 2023 - mdpi.com
The sixth generation (6G) mobile communication system is expected to meet the different
service needs of modern communication scenarios. Heterogeneous networks (HetNets) …

Scheduling algorithms for 5G networks and beyond: Classification and survey

A Mamane, M Fattah, M El Ghazi, M El Bekkali… - IEEe …, 2022 - ieeexplore.ieee.org
Over the years, several research groups have been developing effective and efficient
scheduling algorithms to enhance the quality of service of mobile communication networks …

Resource optimizing federated learning for use with IoT: A systematic review

LGF da Silva, DFH Sadok, PT Endo - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract Recently, Federated Learning (FL) has been explored as a new paradigm that
preserves both data privacy and end-users knowledge while reducing latency during model …

A survey of resource management in D2D communication for B5G networks

AMH Alibraheemi, MN Hindia, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the vast rise of users, the variety of application requirements, and the enormous
necessity for ubiquitous connectivity anytime and anywhere, integration of new technologies …

A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network

Y Wang, C Yang, T Li, X Mi, L Li… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

Energy efficient resource allocation method for 5G access network based on reinforcement learning algorithm

S Zhao - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
Abstract Edge computing and IIoT (Industrial Internet of Things) are two representative
application scenarios in 5G (5th Generation) mobile communication technology network …

Evaluating the Comprehensive Performance of 5G Base Station: A Hybrid MCDM Model Based on Bayesian Best‐Worst Method and DQ‐GRA Technique

M Liang, W Li, J Ji, Z Zhou, Y Zhao… - Mathematical …, 2022 - Wiley Online Library
In recent years, 5G technology has rapidly developed, which is widely used in medical,
transportation, energy, and other fields. As the core equipment of the 5G network, 5G base …

Energy efficient clustering and resource allocation strategy for ultra-dense networks: A machine learning framework

N Sharma, K Kumar - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
The ultra-dense network structure of 5G with dense femto-cells deployment, is identified as a
prospective way out for the problem of growing demand for cellular services. However …

Best Relay Selection Strategy in Cooperative Spectrum Sharing Framework with Mobile-Based End User

LN Ibrahem, MF Al-Mistarihi, MA Khodeir, M Alhulayil… - Applied Sciences, 2023 - mdpi.com
In this work, a cognitive relay network (CRN) with interference constraint from the primary
user (PU) with a mobile end user is studied. The proposed system model employs a half …

Playing With a Multi Armed Bandit to Optimize Resource Allocation in Satellite-Enabled 5G Networks

A Galli, V Moscato, SP Romano… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we address issues associated with the effective management of handover
events in satellite-enabled 5G network infrastructures. Namely, we devise a strategy for …