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Integrating Satellites and Mobile Edge Computing for 6G Wide-Area Edge Intelligence: Minimal Structures and Systematic Thinking
[article]
2022
arXiv
pre-print
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To ubiquitously cover the MTDs working in rural and disastrous areas, satellite communications become indispensable, while mobile edge computing (MEC) also plays an increasingly crucial role. ...
On that basis, a case study is utilized to showcase the benefits of on-demand network orchestration and process-oriented network optimization. ...
Mobile edge computing (MEC) is crucial for empowering this edge intelligence paradigm, which may further evolve into a more promising network AI architecture [1] . ...
arXiv:2208.07528v1
fatcat:zkqc2azmdrbfreqdxlaot2qsce
Mobile Edge Computing in Space-Air-Ground Integrated Networks: Architectures, Key Technologies and Challenges
2022
Journal of Sensor and Actuator Networks
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Therefore, in view of the significant success in ground mobile networks, the introduction of mobile edge computing (MEC) in SAGIN has become a promising technology to solve the challenge. ...
However, for mobile devices with limited computation capability and energy budgets, it is still a serious challenge to meet the stringent delay and energy requirements of computation-intensive ubiquitous ...
MEC deploys computing and storage resources at the edge of the mobile network, which provides cloud computing capabilities for mobile users with largely reduced latency [7] . ...
doi:10.3390/jsan11040057
fatcat:fynjhaiofvgb5ouqecohokbynq
Evolution of Non-Terrestrial Networks From 5G to 6G: A Survey
[article]
2022
arXiv
pre-print
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Non-terrestrial networks (NTNs) traditionally have certain limited applications. ...
However, the recent technological advancements and manufacturing cost reduction opened up myriad applications of NTNs for 5G and beyond networks, especially when integrated into terrestrial networks (TNs ...
In this architecture, the UAVs act as near-user low delay mobile edge computing platforms, while the satellite segment grant access to the cloud computing with higher delay. ...
arXiv:2107.06881v2
fatcat:ap7uchcpqzbchohcn3pnrlubzm
Cybertwin-enabled 6G Space-air-ground Integrated Networks: Architecture, Open Issue, and Challenges
[article]
2022
arXiv
pre-print
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, and cybertwin-based integrated sensing-communication-computing. ...
Particularly, three categories of critical technologies are presented based on the cybertwin of SAGIN, i.e., cybertwin-based multi-source heterogeneous network integration, cybertwin-based integrated cloud-edge-end ...
Thus, a task workflow can be carried out through a cooperation of local end, edge network, and core cloud. ...
arXiv:2204.12153v1
fatcat:sz6qhz4xuvc6bhxczoevny2o7u
A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges (Author's version)
2022
Zenodo
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edge computing and [...] ...
More specifically, relevant UAV-based network architectures are discussed together with the role of their building blocks. ...
Under the mobile edge computing (MEC), edge nodes can provide their computing resources towards bringing data computation closer to the data acquisition points. ...
doi:10.5281/zenodo.7413157
fatcat:j66s6hv3gfe43l5qny2rlxwfxi
A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges
[article]
2022
arXiv
pre-print
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More specifically, relevant UAV-based network architectures are discussed together with the role of their building blocks. ...
are mainly relying on shore-based base stations with limited coverage and satellite links with high latency. ...
Under the mobile edge computing (MEC), edge nodes can provide their computing resources towards bringing data computation closer to the data acquisition points. ...
arXiv:2209.09605v1
fatcat:ksss63y6zje6fpykbov35d2fw4
Table of contents
2021
IEEE Transactions on Cognitive Communications and Networking
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Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Ricardo Lent 871 Delay-Aware and Energy-Efficient Computation Offloading in Mobile-Edge Computing Using Deep Reinforcement Learning . . . . . . . . . . . . . . . . ...
doi:10.1109/tccn.2021.3105792
fatcat:3pijifc6vffzrd5ajstramcqda
6G Internet of Things: A Comprehensive Survey
2021
IEEE Internet of Things Journal
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2021 pre-print arXiv:2108.04973v1 fatcat:akarrhkskzbj3ff5g7otyo6yfy
We first shed light on some of the most fundamental 6G technologies that are expected to empower future IoT networks, including edge intelligence, reconfigurable intelligent surfaces, space-air-ground-underwater ...
roles of 6G in a wide range of prospective IoT applications via five key domains, namely Healthcare Internet of Things, Vehicular Internet of Things and Autonomous Driving, Unmanned Aerial Vehicles, Satellite ...
The work in [97] considers a cell-free UAV network for 6G-based wide-area IoT with focus on a UAV flight process-oriented optimization. ...
doi:10.1109/jiot.2021.3103320
fatcat:fgm4ndqp6napjlt3z4ikthdsfy
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
[article]
2020
arXiv
pre-print
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In this paper, we investigate a computing task scheduling problem in space-air-ground integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. ...
In the considered scenario, an unmanned aerial vehicle (UAV) collects computing tasks from IoT devices and then makes online offloading decisions, in which the tasks can be processed at the UAV or offloaded ...
To meet the emerging computation-intensive IoT applications with diverse QoS requirements, an air-ground integrated mobile edge network is presented to realize mobile edge computing [23] . ...
arXiv:2010.01471v1
fatcat:t6olrrhe5bbcpomu3vey46ynpa
Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network
2024
Information
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Nevertheless, edge computing and cloud computing are crucial for unmanned autonomous intelligent systems, which also necessitate distributed computation architectures for computationally intensive tasks ...
This paper presents a comprehensive analysis of the opportunities and challenges of unmanned autonomous intelligent systems in UAV NTN, along with NTN-based unmanned autonomous intelligent systems and ...
UAVs with onboard computation capabilities are promising in terms of supporting mobile edge computing (MEC) to solve the problem. ...
doi:10.3390/info15010038
fatcat:o5ypvqwh5bfx3ihe6d3zorfgfy
A Survey on Integrated Sensing, Communication, and Computing Networks for Smart Oceans
2022
Journal of Sensor and Actuator Networks
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tasks. ...
Recently, the space–air–ground–sea integrated networks have been envisioned as a promising network framework to enhance the communication and computing performance. ...
problem for both communication and computation in this maritime UAV swarm mobile edge computing (MEC) network. ...
doi:10.3390/jsan11040070
fatcat:ypxapijbgnfz7hlf7vxfptuu5a
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. ...
Due to massive amounts of available data, AI has been leveraged to address pressing challenges of current and future wireless networks. ...
Furthermore, HAPSs are promoted to provide mobile edge computing (MEC) services to swiftly manage computational tasks and effectively handle the surge in traffic spurred by the expanded adoption of the ...
arXiv:2402.00881v1
fatcat:dzxlvy4qo5dc3hkvk6gdpemot4
Blockchain-Envisioned Unmanned Aerial Vehicle Communications in Space-Air-Ground Integrated Network: A Review
2021
Intelligent and Converged Networks
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The traditional UAV network architecture is not adequate to meet the challenges presented by the SAGIN, and an effective and secure space-air-ground integrated UAV network needs to be constructed. ...
In this work, we review the role of UAVs in the SAGIN. Then, three applications of the blockchain-envisioned UAV network are introduced through several classifications. ...
mobile network edge. ...
doi:10.23919/icn.2021.0018
fatcat:sdeg6bbicjbildtlzvtb6hn4wa
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
[article]
2022
arXiv
pre-print
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In addition, from the viewpoint of information theory, we identify fundamental open problems of characterizing rate regions for communication networks supporting distributed learning-and-computing tasks ...
Specifically, edge learning (EL) enables local model training on geographically disperse edge nodes and minimizes the need for frequent data exchange. ...
Typically, in an edge network, UAV with high mobility can assist mobile edge computing (MEC) in offloading computationally intensive tasks from IoT devices. ...
arXiv:2206.00422v1
fatcat:osp426emrngi3bvye6fmk7kqce
Swarm of UAVs for Network Management in 6G: A Technical Review
[article]
2022
arXiv
pre-print
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In this state-of-the-art review, we integrated blockchain and AI/ML with UAV networks utilizing the 6G ecosystem. ...
Keeping these challenges in mind, this article focuses on the security and privacy, intelligence, and energy-efficiency issues faced by swarms of UAVs operating in 6G mobile networks. ...
In addition, Integrating network resources with cloud computing and edge computing paradigms will provide low-cost, high-flexibility on-demand computation and storage capabilities [11] - [20] . ...
arXiv:2210.03234v1
fatcat:v4cdbnul3vd4pojqlwojm6l2cq
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