# _electronics_
## 5 Results
### Performance Analysis of the Simulation  
Based on the above parameters, we compare our coded caching based on multi-objective (CCMO) factors in this paper with the most popular (MP) strategy currently in use and coded caching based on random (CCR). The average cache hit ratio, backhaul link load, and content acquisition delay are compared and analyzed. Figure 5 shows the distribution diagram of the Pareto solution of the coded caching strategy based on multi-objective optimization, when there are two satellites accessed by users. It can be seen from the figure that the number of Pareto solutions to the cache placement problem in this paper is 14, the distribution is relatively uniform, and each point represents a cache placement strategy that satisfies Pareto. Figure 6 shows the relationship between the average acquisition delay of user content and the number of iterations. As the number of iterations continues to increase, the average user content acquisition delay continues to decrease, i.e., the individual fitness in the ant colony algorithm gradually increases, and there is a convergence trend at about 20 iterations; it gradually reaches convergence at about 60 iterations. At the same time, the change data of the average acquisition delay of user content are fitted to better represent the performance of the algorithm. Figure 7 compares the content acquisition delay of each caching scheme under the number of satellite nodes accessed by different users. From this figure, it can be seen that as the number of users accessing satellite nodes increases, the content acquisition delay of each caching scheme decreases. When the number of satellites accessed by users is 8, compared with MP and CCR, the average acquisition delays of the content of CCMO are reduced by about 25% and 13%. As the number of users accessing satellite nodes increases, the content required by users can be better coordinated and distributed, the user service needs can be met within one time slot as much as possible, and the content acquisition delay of each caching scheme is reduced. However, because the coded cache decouples the transmission correlation between data blocks, only the required coded packages need to be transmitted when transmitting the content required by the user, rather than transmitting all the content, reducing the content acquisition latency compared to the most popular cache placement strategy. Compared with the random-based coded caching strategy, the coded caching strategy based on multi-objective optimization proposed in this paper can select and place popular content more accurately, thereby reducing the content acquisition delay. Figure 5: Distribution diagram of Pareto solutions. Figure 8 compares the backhaul link load of each caching scheme under different user access satellite node numbers. From this figure, it can be seen that as the number of users accessing satellite nodes increases, the backhaul link load of each caching scheme decreases. When the number of satellites accessed by users is 0, the backhaul link load is the same for the three strategies. When the number of satellites accessed by users is 1, compared with MP and CCR, the backhaul link loads of CCMO are reduced by about 46% and 30%. As the number of satellite nodes accessed by users increases, the coordinated delivery of content within a time slot is higher, and coordinated delivery can reduce the load on the backhaul link. Coded caching transforms the smallest content transmission unit into a coded package, leading to a reduced backhaul link load compared to the most popular cache placement strategy. Compared with the random-based coded caching strategy, the code caching strategy based on multi-objective optimization proposed in this paper caches more popular content, and this content will be requested more, so there is a lower backhaul link load. Figure 9 compares the average cache hit rate of different caching strategies. Compared with MP and CCR, the average cache hit rates of CCMO are improved by about 14% and 30%, respectively.