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Volume 43 Issue 12
Dec.  2021
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Haoyang LIU, Gang WANG, Wenchao YANG, Jinlong WANG, Yao XU, Donglai ZHAO. Popularity Matching Edge Caching Policy Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3427-3433. doi: 10.11999/JEIT210493
Citation: Haoyang LIU, Gang WANG, Wenchao YANG, Jinlong WANG, Yao XU, Donglai ZHAO. Popularity Matching Edge Caching Policy Based on Stochastic Geometry Theory[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3427-3433. doi: 10.11999/JEIT210493

Popularity Matching Edge Caching Policy Based on Stochastic Geometry Theory

doi: 10.11999/JEIT210493
Funds:  The National Natural Science Foundation of China (62071146, 62071147)
  • Received Date: 2021-06-01
  • Rev Recd Date: 2021-09-10
  • Available Online: 2021-09-25
  • Publish Date: 2021-12-21
  • Edge caching mechanism for heterogeneous network is one of the reliable technologies to solve the excessive link load of the traditional backhaul mechanism, but the existing caching policies often can not match the popularity of the required data. To solve this problem, a Popularity Matching Caching Policy (PMCP) is proposed in this paper, which can match the corresponding file cache probability according to the popularity parameters to maximize communication reliability and reduce backhaul bandwidth pressure. The plane position of the base station is modeled by stochastic geometry theory. The results of the Monte Carlo simulation show that the proposed caching policy can effectively reduce the backhaul bandwidth pressure, and the reliability of the proposed caching policy is better than the comparison policies.
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