Improving Network Efficiency Through Edge Computing and 5G Integration

Abstract

In the increasingly advanced digital era, there is a very high demand for fast, stable, and responsive internet connectivity. The increasing use of big data-based applications, the Internet of Things (IoT), autonomous vehicles, and streaming services require telecommunications networks to be able to handle very large data volumes, with low latency, and high quality of service. However, existing networks often cannot balance these needs, especially in terms of data delivery speed and efficiency. Edge Computing and 5G are here as solutions to improve network efficiency. Edge computing moves data from the data center to devices that are closer to the user or the edge of the network. Thus, data no longer needs to be processed in the data center that loads, which can reduce latency and increase processing speed. Meanwhile, 5G offers very fast data transfer speeds, very low latency, and larger network capacity, allowing more devices to connect to the network without reducing performance. The integration of these two technologies can create a more efficient network, enabling local data processing at the edge with strong and fast 5G connectivity. This can optimize bandwidth usage, reduce network congestion, and support real-time applications that require fast and your own response. With the synergy between edge computing and 5G, network efficiency can be increased, facilitating the development of various innovative applications and services that will change the way we interact with the digital world

Keyword           : Edge Computing, Network Efficiency, IoT, bandwidth optimization, latency Reduction