# Hybrid Cooperative Cache Based on Temporal Convolutional Networks in Vehicular Edge Network
## 2 Related Works
### Cooperative Caching Strategy  
As different caching strategies are proposed, caching research considering the cooperation between different nodes has gradually become the mainstream research direction. [PERSON] et al. [2018] proposed a cooperative cache architecture between clusters in order to improve communication quality and network performance, and optimized the network average delay by greedy algorithm. [PERSON] et al. [2018] proposed a user-centered content transmission scheme to cope with the growing number of video files in cellular networks, which improves the QoE of users by sharing cached content among cooperative users, but they ignore the communication interference between heterogeneous users. [PERSON] et al. [2018] modeled pre-caching and task allocation as a Markov Decision Process and obtained the optimal proportion of allocation among cooperative nodes through DDPG, so as to improve the data reception rate of mobile vehicles. [PERSON] et al. [2018] responded to the dynamic changes of caching strategy in IoV with the network environment through cooperative caching in two-layer heterogeneous networks. Based on the random geometry theory, the analysis framework of spatial cooperative caching strategy is established, which effectively reduces the network load and provides better quality of service (QoS). [PERSON] et al. [2018] proposed a cooperative cache based on federated learning and considering vehicle mobility, which uses the deep learning model deployed by federated learning on mobile vehicles to predict regional content popularity, which protects user data security and improves caching efficiency, but the autopilot scenario they considered is not suitable for reality. [PERSON] et al. [2019] proposed multi-layer cooperative caching in terrestrial satellite integrated network to reduce communication delay and optimized cache performance through cooperative and non-cooperative caching strategies. [PERSON] et al. [2019] introduced the dependency relationship between storage items in cooperative cache and put forward the problem of cooperative cache with dependency, which laid the foundation for cooperative cache with dependency. [PERSON] et al. [2019] studied the problem of cooperative edge caching in foggy wireless access networks (F-RAN). The cooperation between DDQN and Fog access Point (F-AP) is applied to formulate the global optimal caching strategy. [PERSON] et al. [2019] proposed the problem of cooperative caching in vehicle content centers, which comprehensively considered the future location of edge nodes and the cache redundancy between cooperative nodes to formulate a replacement strategy. [PERSON] et al. [2019] studied the multi-hop cooperative caching of wireless sensor networks on ICN and made a trade-off between saving energy and reducing delay. Although the above work takes into account the cooperation of nodes to optimize the cache strategy, most of them only consider content popularity as a measure of cache content. First of all, this will lead to cache redundancy among multiple nodes. Secondly, only considering the content popularity will affect the overall cache performance, resulting in high transmission delay.