JISE


  [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13]


Journal of Information Science and Engineering, Vol. 40 No. 2, pp. 421-433


Proactive Caching Strategy Based on Queueing Theory in F-RAN


WEI ZHANG1,2, HAO-XIANG CHU1,2 AND HAO HAO1,2,+
1Key Laboratory of Computing Power Network and Information Security
Ministry of Education
Shandong Computer Science Center (National Supercomputer Center in Jinan)
Qilu University of Technology (Shandong Academy of Sciences)
Jinan, 250100 P.R. China

2Shandong Provincial Key Laboratory of Computer Networks
Shandong Fundamental Research Center for Computer Science
Jinan, 250100 P.R. China
E-mail: wzhang@qlu.edu.cn; 10431210725@stu.qlu.edu.cn; haoh@sdas.org
+


Fog Radio Access Network (F-RAN) has emerged as a promising architecture to reduce latency and network congestion by caching popular content at the edge. However, optimizing caching strategies in F-RAN faces challenges due to limited storage capacity and global vs. local content popularity. This paper proposes a novel proactive caching placement strategy using queueing theory to minimize latency. Specifically, we formulate an integer linear program based on a queuing model that captures content popularity and service rates. To solve this problem efficiently, we design two low-complexity heuristic algorithms: (1) An improved greedy algorithm that prioritizes globally popular content; and (2) A knapsack algorithm that optimizes cache allocation based on localized content popularity. Extensive simulations demonstrate that our proposed strategy achieves lower average latency and traffic cost compared to baseline caching schemes like LRU, LFU, and random replacement. The key innovation lies in optimizing caching decisions based on joint modeling of queuing delays and localized content popularity. This work provides an effective proactive caching framework for latency-critical F-RAN applications.


Keywords: fog radio access network, the queue theory, proactive caching, content popularity, minimize latency

  Retrieve PDF document (JISE_202402_13.pdf)