The innovation and improvement of 5G networks has given profound benefits for the wireless users. The information is being shared consistently that increases the network traffic data. Therefore, there is a need for performance enhancement in terms of resource utilization and transmission systems. This paper makes an attempt to develop a hybrid cache-enabled 5Gs that combines the Line of Sight (LOS) and Non-Line of Sight (NLOS). The study intends to remove the interferences by improving the content delivery process. The analytical method has improved the content management with no-cache as well as cache-assisted packets. The proposed model is implemented in an NS2 simulator that executes and tests the parameters like packet delivery ratio, packet dropping ratio, end-to-end delay, throughput and the SINR analysis. It is inferred from the results that the proposed hybrid cache enabled mmwave network model has yielded a 31% increase in packet delivery, 63% increase in throughput, 30% decrease in the packet delay and 14% reduction in energy consumption as compared with the cache enabled transmission approach. Further, the SINR of the hybrid cache enabled mmwave system increased by 22% in comparison with the hybrid 5G enabled mmwave system, which proves the efficacy of the hybrid cache enabled mmwave system in minimizing the effects of noise on the output.