Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unmanned aerial vehicle‐aided edge networks with ultra‐reliable low‐latency communications: A digital twin approach
Authors
Keywords
-
Journal
IET Signal Processing
Volume -, Issue -, Pages -
Publisher
Institution of Engineering and Technology (IET)
Online
2022-04-25
DOI
10.1049/sil2.12128
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Digital Twins for Intelligent Authorization in the B5G-Enabled Smart Grid
- (2021) Javier Lopez et al. IEEE WIRELESS COMMUNICATIONS
- Digital Twin Networks: A Survey
- (2021) Yiwen Wu et al. IEEE Internet of Things Journal
- Latency Optimization of UAV-Enabled MEC System for Virtual Reality Applications Under Rician Fading Channels
- (2021) Ali A. Nasir IEEE Wireless Communications Letters
- UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications
- (2021) Yijin Pan et al. IEEE Wireless Communications Letters
- Joint Optimisation of Real-Time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications
- (2021) Tan Do-Duy et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Multi-UAV-Enabled Mobile-Edge Computing for Time-Constrained IoT Applications
- (2021) Cheng Zhan et al. IEEE Internet of Things Journal
- Mobile Edge Computing in Unmanned Aerial Vehicle Networks
- (2020) Fuhui Zhou et al. IEEE WIRELESS COMMUNICATIONS
- Joint Pilot and Payload Power Allocation for Massive-MIMO-Enabled URLLC IIoT Networks
- (2020) Hong Ren et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Multiuser MISO UAV Communications in Uncertain Environments With No-Fly Zones: Robust Trajectory and Resource Allocation Design
- (2020) Dongfang Xu et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Energy-Efficient Resource Management in UAV-Assisted Mobile Edge Computing
- (2020) Yan Kyaw Tun et al. IEEE COMMUNICATIONS LETTERS
- Joint Computation Offloading and Resource Allocation for MEC-Enabled IoT Systems With Imperfect CSI
- (2020) Jun Wang et al. IEEE Internet of Things Journal
- A Unified Design of Massive Access for Cellular Internet of Things
- (2019) Xiaodan Shao et al. IEEE Internet of Things Journal
- Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
- (2019) Chen-Feng Liu et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Wireless Edge Computing With Latency and Reliability Guarantees
- (2019) Mohammed S. Elbamby et al. PROCEEDINGS OF THE IEEE
- Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems
- (2018) IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale
- (2018) Mehdi Bennis et al. PROCEEDINGS OF THE IEEE
- Real-time Optimal Resource Allocation for Embedded UAV Communication Systems
- (2018) Minh-Nghia Nguyen et al. IEEE Wireless Communications Letters
- Secrecy-Based Delay-Aware Computation Offloading via Mobile Edge Computing for Internet of Things
- (2018) Yuan Wu et al. IEEE Internet of Things Journal
- Radio Resource Management for Ultra-Reliable and Low-Latency Communications
- (2017) Changyang She et al. IEEE COMMUNICATIONS MAGAZINE
- Toward Massive, Ultrareliable, and Low-Latency Wireless Communication With Short Packets
- (2016) Giuseppe Durisi et al. PROCEEDINGS OF THE IEEE
- Unsupervised Detection of Earthquake-Triggered Roof-Holes From UAV Images Using Joint Color and Shape Features
- (2015) Shaodan Li et al. IEEE Geoscience and Remote Sensing Letters
- A sequential parametric convex approximation method with applications to nonconvex truss topology design problems
- (2009) Amir Beck et al. JOURNAL OF GLOBAL OPTIMIZATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now