计算机科学
移动边缘计算
隐藏物
利用
边缘计算
最优化问题
利润最大化
分布式计算
计算机网络
计算复杂性理论
能源消耗
服务器
云计算
利润(经济学)
操作系统
算法
工程类
计算机安全
电气工程
经济
微观经济学
作者
Wenqi Zhou,Junjuan Xia,Fasheng Zhou,Lisheng Fan,Xianfu Lei,Arumugam Nallanathan,George K. Karagiannidis
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2023-10-01
卷期号:72 (10): 13793-13798
被引量:10
标识
DOI:10.1109/tvt.2023.3275365
摘要
In this paper, we investigate a multiuser cache-enabled vehicular mobile edge computing (MEC) network, where one edge server (ES) has some caching and computing capabilities to assist the task computing from the vehicular users. The introduce of caching into the MEC network significantly affects the system performance such as the latency, energy consumption and profit at the ES, which imposes a critical challenge on the system design and optimization. To solve this challenge, we firstly design the vehicular MEC network in a non-competitive environment by maximizing the profit of the ES with a predetermined threshold of user QoE, and jointly exploit the caching and computing resources in the network. We then model the optimization problem into a binary integer programming problem, and adopt the cross entropy (CE) method to obtain the effective offloading and caching decision with a low complexity. Simulation results are finally presented to verify that the proposed scheme can achieve the near optimal performance of the conventional branch and bound (BnB) scheme, while sharply reduce the computational complexity compared to the BnB.
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