# Time Segmentation-Based Hybrid Caching in 5G-ICN Bearer Network
## 1 Introduction  
Up until now, fifth-generation communication technology (5G) has been used by more than 200 operators in more than 58 countries to build commercial networks. In terms of speed, bandwidth, dependability, and delay, 5G networks outperform the 4 th Generation mobile communication technology (4G). Future application requirements from users and sectors, including virtual reality, ultra-high definition video, smart manufacturing, and autonomous driving, can be met by it. The improvement of 5G terminals and the improvement of the industrial convergence application ecology are both results of the rapid growth of 5G networks. Vertical industry convergence applications are in high demand due to the rise in 5G enabled vertical industries, which in turn encourages the advancement and development of 5G network technology. The current 5G is driven by three key factors: support for new service categories; support for extremely high throughput; and support for high-density Internet of Things devices and services with very rigorous end-to-end requirements. Augmented Reality and Virtual Reality Panorama, new movies, the Internet of Things, and vertical sectors, are examples of novel scenarios that pose problems for 5G networks in terms of continuous low-latency service response and the efficient distribution of massive amounts of data. The indicators of communication networks have undergone a significant change as we enter the 5G era. It is impossible to upgrade the wireless interface component alone to satisfy this need. The network faces new difficulties because the entire end-to-end network design, including the bearer network (BN), must be altered. The uncertainty oftraffic and services is the first problem. We all know that the operator's current IP network uses the \"best effort\" and \"nearest forwarding\" mechanisms. The network's development has resulted in an enormous increase in network traffic. The variety of corporate and enterprise applications (APPs) will still be cloud-based in the future. Operators are unable to satisfy criteria for differentiated service networks and dynamic network configuration based on user needs. The second challenge is the difficulty of ensuring a user's experience. Higher network latency requirements are needed for autonomous driving, cloud virtual reality, telemedicine, and remote learning. As 5G empowers to business (2B) sectors, its remote control and drone services are improved. Due to the wide band-width, higher new demands will be made. The complexity of network operation and maintenance (O&M) is the third challenge. Operators' network O&M has huge problems in terms of network provisioning frequency, dependability, and service diversity, in the context of 5G, when network complexity grows by a factor of 10. Information-centric networks (ICNs) have developed into one of the research themes of future network architecture as the result of the expansion of mass content and mobile users [1; 2]. ICN is thus a potential network architecture for achieving 5G objectives. Intranet caching, which uses content naming as the foundation for supplying built-in caches to speed up content delivery, provides high-speed access and high network utilization as its key feature. The achievement and optimization of 5G goals benefit greatly from this. To address the requirement, the industry suggests a 5G-ICN network design [3]. ICN can be integrated into a BN or data network (DN) in a 5G-ICN network. The current ICN caching technique, which is based on 5G, is unable to handle the huge requests and low latency demands of numerous mobile users. The objective of this work is to improve the ICN cache strategy on this new architecture. Tidal phenomena occur in mobile networks [4], and a base station's access frequency varies during the day. A single caching technique is insufficient to accommodate fluctuating user counts and mobile access.