Multi-UAV Cooperative Task Offloading and Resource Allocation in 5G Advanced and Beyond
Northwestern Polytechnical University
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Abstract
In 5G advanced and beyond, latency-critical and computation-intensive applications require more communication and computing resources. However, remote areas without available terrestrial edge/cloud infrastructure fail to satisfy these applications’ demands. This motivates the emergence of the UAV-enabled aerial computing paradigm. Single UAV-enabled aerial computing (SUEAC) is limited by small coverage area and insufficient resources, which cannot meet the application requirements. Multiple UAV-enabled aerial computing (MUEAC) has broken through the limitation of SUEAC and has attracted wide attention. Cooperation among multiple UAVs in MUEAC can fully utilize UAV resources and achieve load balancing.…
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181
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- 144.33
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- 100%
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Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Task (project management)
- Resource allocation
- Resource management (computing)
- Wireless
- Computer network
- Distributed computing
- Telecommunications
UN Sustainable Development Goals
- Affordable and clean energy
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