Network Quality on Demand
Dynamic access to Quality of Service
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Network Quality on Demand
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Network Quality on Demand
Quality on Demand can unlock use cases that rely on consistent network performance.
Quality on Demand can unlock use cases that rely on consistent network performance.
Teleoperation grade connectivity for remote-controlled and autonomous fleets requires real-time information from the remote vehicle modems.
Capturing objects and people both spatially and in motion for XR applications requires very large files to be streamed reliably over large distances.
Drone-based solutions help warehouses speed up and reduce costs in their inventory management.
Siemens maintains wind turbines and other large and complex equipment across the world. Flying expert technicians onsite for maintenance is both expensive and time consuming. So, Siemens is building a HoloLens-based solution that allows the expert technician to remotely monitor and guide the onsite analyst. However, they found that high jitter, latency, and packet loss made the VR based collaboration challenging. So, Siemens integrated QoD into their solution, and noted that the consistent low latency and high throughput allowed them to transmit high resolution VR video between the onsite analyst and remote expert technician. This allowed technicians to collaborate in realtime, which increased quality and speed of maintenance while reducing the maintenance cost.
Holographic presence platform offers benefits of in-person interactions to remote communication, by using 3D human hologram to create real-time, face-to-face meeting experience. For this to work effectively it is critical to maintain the illusion of in-person interaction which requires low latency, jitter, and packet loss. Matsuko found that when network congestion or other scenarios negatively impact latency or jitter levels, it severely degraded end-user experience. Matsuko observed that leveraging QoD significantly reduced jitter and latency to provide a flawless end-user experience.
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