Delay-Optimized Edge Caching in Integrated Satellite-Terrestrial Networks With Diverse Content Popularity Distribution and User Access Modes

被引:5
作者
Zhu, Xiangming [1 ]
Jiang, Chunxiao [2 ,3 ]
Yang, Zhaohui [1 ,4 ]
Wang, Hua [4 ]
机构
[1] Res Inst Intelligent Networks, Zhejiang Lab, Hangzhou, Peoples R China
[2] Tsinghua Univ, Tsinghua Space Ctr, Beijing, Peoples R China
[3] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol BNRist, Beijing 100084, Peoples R China
[4] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 16期
基金
中国国家自然科学基金;
关键词
Satellites; Delays; Logic gates; Industrial Internet of Things; Orbits; Optimization; Heuristic algorithms; Cooperative edge caching; delay optimization; local content popularity; satellite-terrestrial networks; INDUSTRIAL INTERNET; CONTENT PLACEMENT; MOBILITY-AWARE; ARCHITECTURES; TRANSMISSION; QOS;
D O I
10.1109/JIOT.2024.3355139
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we investigate delay-optimized edge caching in the integrated satellite-terrestrial network with diverse content popularity distribution and user access modes. Based on the cooperation among the base stations, the satellite and the gateway, we propose a three-layer caching architecture to provide content service for both base station access users and satellite access users. Considering diverse content preferences for users in different areas, we formulate the content placement problem with the objective to minimize the average content retrieving delay of the network. By introducing the concept of the delay reduction gain and the caching benefit, we first derive the optimal caching strategy for base stations in different areas separately. Then, we propose two algorithms to calculate the cooperative caching strategy of the network, in which reduced search space is applied based on theoretical analysis. While the dynamic programming algorithm can achieve the optimal solution of the content placement problem, the submodular optimization-based algorithm can provide guaranteed performance with relatively low complexity. Simulation results show that the proposed caching strategies can effectively improve the network delay performance.
引用
收藏
页码:26580 / 26594
页数:15
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