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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Edge Caching and Computation Offloading for Fog-Enabled Radio Access Network
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Edge Caching and Computation Offloading for Fog-Enabled Radio Access Network

机译:EDGE缓存和计算卸载用于支持雾的无线电接入网络

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摘要

Cooperation between the fog and cloud in fog-enabled radio access network could enormously improve the computation offloading services both in terms of latency and energy consumption, while edge caching allowing for low-latency transmission of the cached files, is essential for cooperation. It is necessary to select the best method that minimizes the energy consumption with latency tolerance guaranteed, to offload the task. In this paper, we study the problem of content placement for edge caching and the cooperative computation offloading between the fog and the cloud by optimizing the cooperative offloading decisions and caching strategies. The problem is formulated to minimize the total energy consumption of all the UEs by optimizing the transmit power of the user equipments (UEs), caching strategies and the cooperation factor (the ratio of the fog execution of a file to the whole file), which is a non-convex programming problem. An approximate solution is obtained by using successive convex approximation strategy and implicit enumeration method. Numerical results show that our proposed algorithm can achieve better performance compared with other schemes, e.g., cloud computing and cache most popular strategies.
机译:雾和云之间的合作在启用迷雾的无线电接入网络中可能会在延迟和能耗方面都能极大地改善计算卸载服务,而允许高速缓存文件的低延迟传输的边缘缓存是必不可少的。有必要选择最大限度地减少具有延迟容差的能耗的最佳方法,以卸载任务。在本文中,我们通过优化协作卸载决策和缓存策略来研究边缘缓存的内容放置和雾与云之间的合作计算问题。该问题被制定为通过优化用户设备(UE),缓存策略和协作因子的发射功率(将文件的雾与整个文件的比率)进行优化,最小化所有UE的总能耗。是一个非凸编程问题。通过使用连续的凸近似策略和隐式枚举方法获得近似解。数值结果表明,与其他方案相比,我们所提出的算法可以实现更好的性能,例如云计算和高速缓存最受欢迎的策略。

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