Abstract

Edge caching is a promising technology to alleviate the burden on backhaul and improve the quality of experience (QoE) of users in unmanned aerial vehicle (UAV)-enabled mobile edge networks, which has played an important role in wireless communication systems. However, owing to the selfish nature and limited battery life of the user equipments (UEs), only a limited part of the caching resources will be shared by the UEs. To drive the UEs to share more caching resources to improve the social welfare of the UAV-enabled mobile edge network, in this paper, we jointly design an edge caching strategy and reward contract optimization scheme. Aiming to maximize the utility of the UAV, a joint edge caching and contract optimization problem is formulated. Firstly, a novel edge caching strategy is proposed based on the content popularity. Then, an optimal reward contract is designed by reducing the restrictions. Finally, the system performance of the designed caching strategy and reward contract is evaluated compared with two benchmark caching schemes with no incentives. Simulation results show that the proposed scheme performs better than the other two schemes in terms of the utilities of the UAV and UEs, which proves the efficiency of our proposed scheme.

中文翻译：

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支持无人机的移动边缘网络的边缘缓存策略设计和奖励合同优化

摘要

边缘缓存是一种有前途的技术，它可以减轻回传的负担并提高支持无人飞行器（UAV）的移动边缘网络中用户的体验质量（QoE），该技术在无线通信系统中发挥了重要作用。然而，由于用户设备（UE）的自私性质和有限的电池寿命，UE将仅共享缓存​​资源的有限部分。为了驱动UE共享更多缓存资源，以提高支持UAV的移动边缘网络的社会福利，本文共同设计了边缘缓存策略和奖励合同优化方案。为了最大化无人机的实用性，提出了联合边缘缓存和合同优化问题。首先，基于内容的流行度提出了一种新颖的边缘缓存策略。然后，通过减少限制来设计最佳奖励合同。最后，与没有激励的两个基准缓存方案相比，评估了设计的缓存策略和奖励合同的系统性能。仿真结果表明，该方案在无人机和用户设备的效用方面均优于其他两种方案，证明了该方案的有效性。