TY - GEN
T1 - Delay-Oriented Caching Strategy for LEO Satellite-Assisted Edge Caching Network
AU - Ma, Chunyi
AU - Xu, Jiajie
AU - Yang, Jianhua
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Since the terrestrial edge caching network has insufficient service coverage for remote and maritime areas, and considering that LEO satellite (SAT) network has the advantages of full coverage of the earth and low latency, we investigate an edge caching network with LEO SAT space caching. Using stochastic geometry tools, we establish an analytical framework and derive the analytical expression for the average transmission delay. Considering mobile user (MU) preferences for content requests in real situation, we develop the task request and service caching model for the network. To achieve lower transmission delay of the network, this paper proposes a minimum delay based on particle swarm optimization (MDPSO) caching strategy, which optimizes the caching probabilities of LEO SAT space caching for different service types. The results show that MDPSO outperforms the classical caching strategy in terms of average transmission delay, and optimizing the caching probability for SAT space caching is beneficial to improve the delay performance of edge caching network.
AB - Since the terrestrial edge caching network has insufficient service coverage for remote and maritime areas, and considering that LEO satellite (SAT) network has the advantages of full coverage of the earth and low latency, we investigate an edge caching network with LEO SAT space caching. Using stochastic geometry tools, we establish an analytical framework and derive the analytical expression for the average transmission delay. Considering mobile user (MU) preferences for content requests in real situation, we develop the task request and service caching model for the network. To achieve lower transmission delay of the network, this paper proposes a minimum delay based on particle swarm optimization (MDPSO) caching strategy, which optimizes the caching probabilities of LEO SAT space caching for different service types. The results show that MDPSO outperforms the classical caching strategy in terms of average transmission delay, and optimizing the caching probability for SAT space caching is beneficial to improve the delay performance of edge caching network.
KW - LEO satellite
KW - average delay
KW - edge caching
KW - particle swarm optimization (PSO) algorithm
KW - stochastic geometry
UR - https://www.scopus.com/pages/publications/105012713301
U2 - 10.1109/WOCC63563.2025.11082229
DO - 10.1109/WOCC63563.2025.11082229
M3 - 会议稿件
AN - SCOPUS:105012713301
T3 - 2025 IEEE 34th Wireless and Optical Communications Conference, WOCC 2025
SP - 22
EP - 27
BT - 2025 IEEE 34th Wireless and Optical Communications Conference, WOCC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th IEEE Wireless and Optical Communications Conference, WOCC 2025
Y2 - 20 May 2025 through 22 May 2025
ER -