![]() In a few countries including the U.S., UK and Germany, spectrum is reservable for use easily and directly by industries for exclusive use in their locations without the need to go through the complexities of reserving mobile operator spectrum. Whereas in the past compute racks were large and bulky, a server the size of a briefcase can now run powerful enterprise applications. Moreover, much of the 5G network functionality is now implemented in software as opposed to needing dedicated chips and hardware thus making it possible to update the capabilities of the network and apply security patches remotely.Įdge compute servers have undergone a similar transformation. With 5G, this gap has narrowed considerably, to the point where 5G small cells are the size of a pizza box and total cost of ownership (TCO) of the network is lower for private 5G TCO than Wi-Fi in many large area industrial environments. Device side cellular modem chips were also much more expensive than Wi-Fi client chips and devices. It used to be that cellular base-stations were large and expensive, significantly more so than Wi-Fi network infrastructure. Other key advances include the miniaturization and virtualization of network infrastructure, increases in edge computing capability, reservable spectrum availability for industrial use and, in the case of artificial intelligence (AI) and machine learning applications like computer vision, the progress in speed and accuracy now possible in object detection and classification. As mentioned above, the 3GPP 5G standard and MEC are two of these advances. ![]() It has taken technology advances in many different areas to arrive at these capabilities. For latency critical applications, both of these elements working together are required to deliver low enough latency for computer vision processing and immersive applications. Through tight coupling of the network and compute using Multi-Access-Edge Compute (MEC) software platforms running on the edge servers that communicate seamlessly with the 5G network elements, application latency can be reduced. Application latency is the time taken by the compute itself. The 5G standard itself enables lower network latency especially as Release 16 with Ultra Low Latency Connectivity (URLLC) networks get deployed. Network latency is the round-trip time taken by packets to traverse the network and back minus the compute time that an application may take. This latency reduction has two components-network latency and application-level latency. Edge data centers create localized processing areas that collect and analyze data locally, lowering the latency that typically occurs if centralized cloud application were to be used. Connectivity combined with advanced computation delivers immense potential to many industrial stakeholders.Įdge computing brings data storage and computation nearer to where data is created by places, things and people. It empowers an unprecedented level of data accessibility along with reliable and secure access to two-way communications. ![]() The potential of synergy: Unleashing the power of convergenceĮdge computing, combined with 5G, can elevate digital experiences, enhance performance, promote data security and enable uninterrupted operations in multiple industries. This is vital to emerging new-age applications including autonomous vehicles, automated robotics, enhanced safety and augmented/virtual reality. The short answer is that this convergence enables exciting new applications for industries that so far weren’t possible.Ĭonvergence of edge computing and 5G enables unmatched accessibility to data and applications by bringing down latency and optimizing service delivery at the network edge.
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