Data traffic reduction for D2D communications in 5G networks using a multilink approach

With the increase in the number of devices connected to the network and the increase in data rates, data traffic has also increased dramatically. This increase in traffic can lead to the development of network resources, increase in energy consumption and decrease in service quality. When compared to other forms of communication, video traffic is the most prevalent among mobile users and plays a significant influence in the expansion of network traffic. In recent years, networks containing content storage devices have caught the interest of academics due to users' exceptional desire to view live video feeds. In these gadgets, video content is pre-stored on edge gadgets (smart gadgets and small stations) for quick delivery. Device-to-device (D2D) communication technology, in which users receive their requests through a high-speed link and another device near them without a central station, is one of the proposed solutions to minimize traffic in 5G networks. The main areas of research in this field include the two approaches of traffic reduction and content storage. The multi-link communication approach is used in this study to evaluate the effectiveness of the system, and the findings contradict the results of previous research in this field. The proposed approach performs better than traffic reduction in similar systems without multicast support. First, there are 60% to 350% more links. Second, the average rate across the entire system increases by approximately 40% to 50%. Third: The number of satisfied recipients (satisfied users in the network) increases by about 90%. Therefore, the results of the findings show a significant improvement in how the content is distributed when the user shares it with multiple recipients. So that if we store the most visited files among users with different zeta coefficients in a content delivery net-work, we can make significant improvements in the system in terms of the number of possible links, the average rate in the system and the number of satisfied users, and ultimately reduce the traffic in Create a system. (c) 2023 Published by Elsevier B.V. on behalf of King Saud University.