Greedy cooperative cache placement for mobile edge networks with user preferences prediction and adaptive clustering

回程(电信) 计算机科学 隐藏物 次模集函数 GSM演进的增强数据速率 聚类分析 移动边缘计算 分布式计算 计算机网络 小细胞 蜂窝网络 基站 整数规划 延迟(音频) 数学优化 服务器 算法 人工智能 电信 数学
作者
Manoj Kumar Somesula,Rashmi Ranjan Rout,D. V. L. N. Somayajulu
出处
期刊:Ad hoc networks [Elsevier BV]
卷期号:140: 103051-103051 被引量:4
标识
DOI:10.1016/j.adhoc.2022.103051
摘要

Caching the most likely to be requested content at the base stations in a cooperative manner can facilitate direct content delivery without fetching content from the remote content server in a mobile edge network. This alleviates the user-perceived latency, reduces the burden on backhaul and minimizes the duplicated content transmissions. In addition to static content popularity, it is also important to consider the users’ dynamic behaviour for real-time applications. Unevenly distributed users, heterogeneity of the user preferences, and activity level in large-scale mobile edge networks are important issues that have been addressed in this work. The user preference has been predicted with the long short-term memory (LSTM) to capture the dynamic user behaviour and then users are clustered based on the predicted user preferences. The cache placement problem is formulated as Integer linear programming to maximize the saved delay with deadline and capacity constraints. Further, we devise a greedy algorithm by proving the submodular property of the objective function with matroid constraints, which can achieve (1−1e) optimality with linear computational complexity. Extensive simulation results demonstrate that the proposed cooperative caching mechanism significantly improves the performance in terms of acceleration ratio, hit ratio, and cache utilization compared with existing mechanisms.

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