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March 3, 2026
An enhanced MADDPG framework for joint energy and QoS optimization in UAV-assisted vehicular edge computing system
CD
Cheng Dai
JP
Junqi Pan
XL
Xianggen Liu
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Key Points
Joint optimization achieves better energy efficiency and quality of service in UAV-assisted systems.
Improvement of QoS is measured at a 20% increase, enhancing performance in vehicular edge computing.
Assessment using an enhanced MADDPG framework for optimization in real-world scenarios is outlined.
May enable smarter energy utilization in UAV operation for vehicular applications, supporting sustainable technology.
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Cite This Study
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Dai et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75dd8c6e9836116a281eb
https://doi.org/https://doi.org/10.1016/j.apenergy.2026.127370
An enhanced MADDPG framework for joint energy and QoS optimization in UAV-assisted vehicular edge computing system | Synapse