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Real-Time Optimal Resource Allocation for Embedded UAV Communication Systems
2019
IEEE Wireless Communications Letters
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To tackle this important issue, we develop a real-time resource allocation algorithm for maximizing the energy efficiency by jointly optimizing the energy-harvesting time and power control for the considered ...
(D2D) communication embedded with UAV. ...
To fulfil this gap, for the first time, this paper has considered real-time optimization for resource allocation for embedded UAV-based communication systems. ...
doi:10.1109/lwc.2018.2867775
fatcat:4quguglgmzh6fmysy5mg6ybuni
Real-time Optimal Resource Allocation for Embedded UAV Communication Systems
[article]
2018
arXiv
pre-print
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To tackle this important issue, we develop a real-time resource allocation algorithm for maximizing the energy efficiency by jointly optimizing the energy-harvesting time and power control for the considered ...
(D2D) communication embedded with UAV. ...
To fulfil this gap, for the first time, this paper has considered real-time optimization for resource allocation for embedded UAV-based communication systems. ...
arXiv:1809.01710v1
fatcat:aqmspsryvrhktmvgtolnfxa6zi
Scheduling UAV Swarm with Attention-based Graph Reinforcement Learning for Ground-to-air Heterogeneous Data Communication
2023
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
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However, due to constrained UAV communication capabilities and limited battery life, UAV base stations resource allocation for mobile sensors in a data-heterogeneous environment is a significant challenge ...
when optimizing communication quality. ...
It involves planning the movement of UAV base stations to allocate communication resources [21] , ensuring optimal coverage [34] and connectivity for establishing communication networks in disaster ...
doi:10.1145/3594739.3612905
fatcat:koyy7le62vav5hf4l3xy74s6fm
Machine Learning Methods for Management UAV Flocks - a Survey
2021
IEEE Access
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UAV technology can be used in a wide range of domains, including communication, agriculture, security, and transportation. ...
INDEX TERMS Collaborative unmanned aerial vehicles, machine learning, multi-robot systems, reviews, unmanned aerial vehicles. 139146 This work is licensed under a Creative Commons Attribution 4.0 License ...
Furthermore, they proposed distributed real-time power allocation to maximize the end-to-end sum rate and embedded programming into the UAV devices for rapid recovery of the network to support a large ...
doi:10.1109/access.2021.3117451
fatcat:f6xli6srencw3ezqg5fyzwmuie
UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review
2021
Drones
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However, processing and memorizing this massive volume of data at local nodes have been deemed critical challenges, especially when using artificial intelligence (AI) systems to extract and exploit valuable ...
Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT applications. The growing number of networked IoT devices generates a large amount of data. ...
The image processing was executed in real-time on an embedded edge-computing platform installed on the UAV.
Ref. ...
doi:10.3390/drones5040148
fatcat:ypovd7expfbypfv7juuq5nropq
An Introduction of Real-time Embedded Optimisation Programming for UAV Systems under Disaster Communication
2018
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
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In particular, we propose an introduction of embedded convex optimisation programming for unmanned ariel vehicles (UAVs) communications in disaster networks with the strict supervision of executive time ...
in real-time scenarios. ...
Finally, real-time optimisation for embedded UAV systems is a promising research direction for the modern wireless communications. ...
doi:10.4108/eai.19-12-2018.156080
fatcat:v5pwrklhsvftjpowc7un6kjrhy
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey
[article]
2024
arXiv
pre-print
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Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial networks with terrestrial wireless systems, are vital enablers of the emerging sixth-generation (6G) wireless networks. ...
However, due to the limited power and storage resources, as well as other constraints introduced by the design of terrestrial networks, SAGINs must be intelligently configured and controlled to satisfy ...
UAVs, HAPS, and satellites are in constant motion, requiring real-time resource allocation and network route modifications. ...
arXiv:2402.00881v1
fatcat:dzxlvy4qo5dc3hkvk6gdpemot4
Joint Optimisation of Real-time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications
2021
IEEE Journal on Selected Areas in Communications
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real system by using UAVs as flying base stations for real-time recovering and maintaining network connectivity during and after disasters. ...
In this work, we consider a joint optimisation of real-time deployment and resource allocation scheme for UAVaided relay systems in emergency scenarios such as disaster relief and public safety missions ...
of disaster emergency communications and energy-efficiency constraints of UAV-aided relay systems, we develop and solve a distributed real-time resource allocation problem for maximising EE in terms of ...
doi:10.1109/jsac.2021.3088662
fatcat:otwo5nks6fglni2322qxe6atwu
A resource management survey for mission critical and time critical applications in multi access edge computing
2022
Zenodo
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Moreover, it enables MEC resources embedded on mobile units like drones or robots that are flexible to be deployed for missioncritical applications. ...
Then, we discuss the resource allocation schemes for MEC and assess their fit depending on the application needs. In the same fashion, we finally review the deployment of MEC mobile resources. ...
However the resulting optimizer can have a high computational complexity and does not respond to the real-time requirement of the system [78] . ...
doi:10.5281/zenodo.6082951
fatcat:wbln2fjhy5hmtjvv3pq7s2oxuu
Spectrum-Sharing UAV-assisted Mission-Critical Communication: Learning-aided Real-time Optimisation
2021
IEEE Access
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To cope with the effects of network destruction in a disaster, we propose a real-time optimisation framework for resource allocation (e.g., power and number of UAVs) for CRNs assisted by UAV relays. ...
INDEX TERMS Real-time optimisation, unmanned aerial vehicle (UAV), spectrum sharing, machine learning, mission-critical communications. ...
ACKNOWLEDGMENT This article has been presented in part at the IEEE Global Communications Conference, December 9-13, 2019, Waikoloa, HI, USA. ...
doi:10.1109/access.2021.3050522
fatcat:jwkskdnuendvdnkjkazzva4st4
A resource management survey for mission-critical and time-critical applications in multiaccess edge computing
2021
ITU Journal
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Moreover, it enables MEC resources embedded on mobile units like drones or robots that are flexible to be deployed for mission-critical applications. ...
Then, we discuss the resource allocation schemes for MEC and assess their fit depending on the application needs. In the same fashion, we finally review the deployment of MEC mobile resources. ...
However the resulting optimizer can have a high computational complexity and does not respond to the real-time requirement of the system [78] . ...
doi:10.52953/bqvo3992
fatcat:ubjqqgzd5fdfpeumdyd4pdu7su
Efficient Resource Allocation for Backhaul-Aware Unmanned Air Vehicles-to-Everything (U2X)
2020
Sensors
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This paper considers the issue of resource allocation and helps decide the optimal number of transfers amongst the UAVs, which can conserve the maximum amount of energy while increasing the overall probability ...
of resource allocation. ...
scheme Yes No No [29] Real-time optimal resource allocation Yes No No [30] Resource allocation for a three-UAV network Yes No No [31] Energy-efficient optimization scheme Yes No No [11] Secure ...
doi:10.3390/s20102994
pmid:32466245
pmcid:PMC7287987
fatcat:z6y7exrcjrbtnjxo7mcozw6grm
Energy Efficient UAV-Enabled Mobile Edge Computing for IoT Devices: A Review
2021
IEEE Access
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geographical region. • The mobility impact of both the users and UAVs can be studied by jointly optimizing UAVs trajectory, communication, and computation resource allocation for moving users and UAVs ...
It is more efficient than the binary mode as the UAV can dynamically allocate the computation resources for local computing and communication resources for computation offloading [14] . ...
system, remote sensing and automatic control system designs and applications. ...
doi:10.1109/access.2021.3112104
fatcat:wevv4vq4zfeptci2wey4jitt5e
A Comprehensive Survey on Aerial Mobile Edge Computing: Challenges, State-of-the-Art, and Future Directions
[article]
2022
arXiv
pre-print
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allocation, UAV deployment, task scheduling and load balancing, interplay between aerial MEC and other technologies, as well as the machine-learning (ML)-driven optimization. ...
Then, we provide a comprehensive review of the recent research advances, which is categorized by different domains, including the joint optimization of UAV trajectory, computation offloading and resource ...
In practice, however, the global information collection is either costly or infeasible for large-scale and real-time systems. ...
arXiv:2208.13965v1
fatcat:rglkodmjsve2fbncmmyatqos6y
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
[article]
2023
arXiv
pre-print
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UAV swarms, such as trajectory design, power control, wireless resource allocation, user assignment, perception, and satellite communications. ...
Then, we present several state-of-the-art applications of UAV swarms in wireless communication systems, such us reconfigurable intelligent surface (RIS), virtual reality (VR), semantic communications, ...
for UAV wireless communication system. ...
arXiv:2301.00912v1
fatcat:lerza4tirrgznd736tijwy6gze
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