Spectral efficiency improvement in downlink fog radio access network with deep reinforcement learning-enabled power control
NB Mohamed, MZ Hassan… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Fog radio access network (F-RAN) is a promising architecture that leverages edge
computing and caching to improve devices' latency and quality of service. However …
computing and caching to improve devices' latency and quality of service. However …
[HTML][HTML] Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
S Shamshirband, JH Joloudari… - Mathematical …, 2021 - aimspress.com
Today's intelligent computing environments, including the Internet of Things (IoT), Cloud
Computing (CC), Fog Computing (FC), and Edge Computing (EC), allow many …
Computing (CC), Fog Computing (FC), and Edge Computing (EC), allow many …
Exploring Synergy of Blockchain and 6G Network for Industrial Automation
Automating industrial tasks have become critical for organizations due to the inefficiencies
and risks associated with conventional procedures. The proliferation of connected devices …
and risks associated with conventional procedures. The proliferation of connected devices …
Ensemble Learning aided QPSO–Based Framework for Secrecy Energy Efficiency in FD CR-NOMA Systems
Cognitive radio (CR), non-orthogonal multiple access (NOMA), and full-duplex (FD)
communications have been considered key technologies for providing spectrum utilization …
communications have been considered key technologies for providing spectrum utilization …
Cross-layer resource management for downlink BF-NOMA-OFDMA video transmission systems and supervised/unsupervised learning based approach
SM Tseng, GY Chen, HC Chan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Ali et al. proposed a physical (PHY) layer resource management for single-carrier N-
antenna beamforming (BF) non-orthogonal multiple access (NOMA) systems. Cross …
antenna beamforming (BF) non-orthogonal multiple access (NOMA) systems. Cross …
A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
Deep learning based resource availability prediction for local mobile crowd computing
Mobile crowd computing (MCC) that utilizes public-owned (crowd's) smart mobile devices
(SMDs) collectively can give adequate computing power without any additional financial and …
(SMDs) collectively can give adequate computing power without any additional financial and …
A Survey on Random Access Protocols in Direct-Access LEO Satellite-Based IoT Communication
TTT Le, NUL Hassan, X Chen… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Low-Earth orbit (LEO) satellites can play an important role in providing seamless coverage
for the Internet of Things (IoT). In satellite-based IoT (SIoT) networks, IoT devices can …
for the Internet of Things (IoT). In satellite-based IoT (SIoT) networks, IoT devices can …
Multi-agent dynamic resource allocation in 6G in-X subnetworks with limited sensing information
R Adeogun, G Berardinelli - Sensors, 2022 - mdpi.com
In this paper, we investigate dynamic resource selection in dense deployments of the recent
6G mobile in-X subnetworks (inXSs). We cast resource selection in inXSs as a multi …
6G mobile in-X subnetworks (inXSs). We cast resource selection in inXSs as a multi …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …