A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

5G network-based Internet of Things for demand response in smart grid: A survey on application potential

H Hui, Y Ding, Q Shi, F Li, Y Song, J Yan - Applied Energy, 2020 - Elsevier
Demand response (DR) has been widely regarded as an effective way to provide regulation
services for smart grids by controlling demand-side resources via new and improved …

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Y Liu, HN Dai, Q Wang, MK Shukla, M Imran - Computer communications, 2020 - Elsevier
The recent advances in information and communication technology (ICT) have further
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …

Internet of things based smart grids supported by intelligent edge computing

S Chen, H Wen, J Wu, W Lei, W Hou, W Liu, A Xu… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, an edge computing system for IoT-based (Internet of Things) smart grids is
proposed to overcome the drawbacks in the current cloud computing paradigm in power …

Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions

Y Saleem, N Crespi, MH Rehmani, R Copeland - Ieee Access, 2019 - ieeexplore.ieee.org
Traditional power grids are being transformed into smart grids (SGs) to address the issues in
the existing power system due to uni-directional information flow, energy wastage, growing …

Beyond throughput, the next generation: A 5G dataset with channel and context metrics

D Raca, D Leahy, CJ Sreenan, JJ Quinlan - Proceedings of the 11th …, 2020 - dl.acm.org
In this paper, we present a 5G trace dataset collected from a major Irish mobile operator. The
dataset is generated from two mobility patterns (static and car), and across two application …

Active teacher for semi-supervised object detection

P Mi, J Lin, Y Zhou, Y Shen, G Luo… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we study teacher-student learning from the perspective of data initialization
and propose a novel algorithm called Active Teacher for semi-supervised object detection …

Faults in smart grid systems: Monitoring, detection and classification

AEL Rivas, T Abrao - Electric Power Systems Research, 2020 - Elsevier
Smart Grid (SG) is a multidisciplinary concept related to the power system update and
improvement. SG implies real-time information with specific communication requirements …

MEC-enabled 5G use cases: a survey on security vulnerabilities and countermeasures

P Ranaweera, A Jurcut, M Liyanage - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
The future of mobile and internet technologies are manifesting advancements beyond the
existing scope of science. The concepts of automated driving, augmented-reality, and …

Deep learning-based DDoS-attack detection for cyber–physical system over 5G network

B Hussain, Q Du, B Sun, Z Han - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the advent of 5G, cyber–physical systems (CPSs) employed in the vertical industries
and critical infrastructures will depend on the cellular network more than ever; making their …