Zinkworks QoS Prediction rApp

Zinkworks QoS-P stands at the forefront of ensuring optimal Quality of Service (QoS) in 5G networks by offering adaptive predictions. Its holistic methodology extends across entire cellular network clusters, dynamically associating QoS profiles with connected User Equipment (UEs) to flexibly adapt to the evolving network landscape. This adaptability enhances overall network performance by ensuring that resources are efficiently allocated based on real-time demands and conditions. By seamlessly adjusting QoS parameters according to the changing network dynamics, Zinkworks QoS-P optimises user experience and maximises network efficiency, reliability, and resilience, thus reinforcing its pivotal role in shaping the future of 5G telecommunications.

Zinkworks QoS prediction r-App empowers dynamic slicing in 5G networks, a pivotal capability for optimising resource allocation and meeting diverse service requirements. By accurately forecasting Quality of Service (QoS) metrics, the r-App enables real-time adaptation of network slices, ensuring each user or application receives tailored connectivity parameters. This dynamic slicing capability revolutionises network management, allowing operators to efficiently utilise network resources while accommodating varying bandwidth, latency, and reliability demands. With Zinkworks QoS prediction r-App, 5G networks can seamlessly adapt to the evolving needs of users and applications, providing a superior experience across a wide range of use cases, from ultra-reliable low-latency communications (URLLC) to massive machine-type communications (mMTC).