共被期刊论文引用了3次
您的检索式：您选中1篇文献正在查看引证文献汇总
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Intelligent Task Offloading and Collaborative Computation in Multi-UAV-Enabled Mobile Edge Computing显示文摘This article establishes a three-tier mobile edge computing(MEC) network, which takes into account the cooperation between unmanned aerial vehicles(UAVs). In this MEC network, we aim to minimize the processing delay of tasks by jointly optimizing the deployment of UAVs and offloading decisions,while meeting the computing capacity constraint of UAVs. However, the resulting optimization problem is nonconvex, which cannot be solved by general optimization tools in an effective and efficient way. To this end, we propose a two-layer optimization algorithm to tackle the non-convexity of the problem by capitalizing on alternating optimization. In the upper level algorithm, we rely on differential evolution(DE) learning algorithm to solve the deployment of the UAVs. In the lower level algorithm, we exploit distributed deep neural network(DDNN) to generate offloading decisions. Numerical results demonstrate that the two-layer optimization algorithm can effectively obtain the near-optimal deployment of UAVs and offloading strategy with low complexity. | Jingming Xia Peng Wang Bin Li Zesong Fei | 2022 | China Communications2022，19，4： | 3 |
| 2 | 缓存辅助移动边缘计算的任务卸载与资源分配联合优化策略显示文摘为了减少资源受限的移动边缘计算场景下任务卸载和资源分配过程中的能量消耗,提出缓存辅助的动态卸载决策和计算、通信、缓存多维资源分配的联合优化策略。该策略根据任务流行度制定缓存服务,通过控制用户设备的发射功率优化通信资源分配,并结合计算卸载合理利用服务器的计算资源。提出最小化时延和能耗的均衡优化目标,设计基于深度强化学习的优化求解算法。最后,通过仿真实验验证所提策略的有效性,结果表明该策略在计算资源和缓存容量约束条件下能展现较优性能。 | 赵婵婵 郭晓敏 海晓伟 李晨浩 韩国英 武文红 | 2023 | 科学技术与工程2023，23，9： | 1 |
| 3 | 智能家庭IoT无线模组技术设计要点显示文摘以智能家庭环境下的WiFi模组为例,系统阐述无线模组设计及导入过程中需要重点评估的关键技术点,以期更好地满足使用场景的需求,解决真实环境下的应用痛点。 | 陈利欢 | 2021 | 电视技术2021，45，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员