Accurate RAN Planning Saves Billions
planning and deployment, through extensive automation and full integration with other applications within Symworld.
To further reduce network planning decision time requires planning to move even closer to the network, with ability to consume various (including near real time) network data in the decision process. Building planning algorithms into an rApp on a non-real-time RAN Intelligent Controller (RIC) provides the framework that can potentially enable fast planning decisions and actions We expect this kind of platform to become the basis for automation of Network Slicing throughout the network.
When Network Slicing becomes easy enough that the operators can set up a Slice in less than an hour, we expect a rush of customer demand to follow. The market for private wireless networks is hot today, with 90% CAGR in 5G private network growth expected through 2026. Many companies are implementing their own radio and core networks today because guarantees for reliability/latency/bandwidth are not available from the public mobile network yet. Based on our forecasting, we believe that a significant pent-up market is building for private networks “as a service”.
Top 5 prerequisites for effective 5G RAN planning
Analysis of our financial modeling and investigation into available planning solutions has led us to a short list of ‘must - have’ capabilities to ensure effective 5G RAN planning:
1. Accuracy: Accurate network modeling across not only coverage, but also
interference and throughput is critical. As outlined earlier, this ensures the design delivers maximum return on the CAPEX invested and exceptional quality of experience, which minimizes churn. AI/ML-based prediction engines are becoming the de-facto standard to deliver the accuracy required and ensure the optimal network design is arrived at.
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