A lot of networks have high temporal variability, which means in the peak hours, the users’ requests may exceed the loading capacity, cause congestion. During the off-peak hours, the network resources is underutilized. Caching is a technique to shift the traffic from peak to off-peak hours, by prefetching some content at or near the end users. Coded caching can reduce the peak rate further by jointly optimizing the placement and delivery. In this paper, we consider a novel coded caching model with allowing interaction between cooperative users, and propose a centralized scheme. We use Greedy Constrained Coloring to exploit the multicasting opportunities, and coded prefetching to reduce the redundancy in the cache due to the interaction between users.