Future Connections NIx PCI RSI Optimiser rApp
Future Connections | Network Optimization
The NIx PCI RSI Optimiser rApp automatically detects and identifies PCI and RSI conflicts and provides a solution in 4G and 5G networks. The rApp can also provide plans to reallocate PCIs and RSIs for a selected scope of cells.
Immediate detection of a faulty configuration
The NIx PCI RSI Optimiser rApp detects the worst conflicts in PCI and RSI assignment and offers a better solution in real time and in closed loop. Complex algorithms identify the best solution for each network element, taking into account nearby assignments. The NIx PCI RSI Optimiser rApp can be configured to detect conflicts up to a certain distance, level or frequency.
Periodic plans for large areas in the network
The NIx PCI RSI Optimiser rApp can plan large areas of the network with boundary restrictions due to country borders or other additional cluster considerations. These periodic frequency plans adjust the PCI RSI network allocations to reflect the integration of new network elements by providing an adjusted overall plan.
Seamless reconfiguration for the best solution and OPEX reduction
The NIx PCI RSI Optimiser rApp reduces significantly time spent by the engineering teams to solve faulty configuration issues, with a positive impact on OPEX. In addition, the rApp improves the end user experience by making sure that such issues are dealt with immediately so that they don’t negatively impact service performance.
| Future Connections is an independent telco solutions provider and software developer with in-depth experience in network performance assurance, RAN optimization and automation and in telco managed services. The company delivers service management and orchestration solutions that are flexible, modular, scalable and multi-technology. They are customised to work on a variety of platforms to address a wide range of well-defined use cases, delivering operating expenses’ reductions and improved efficiencies. The company utilises big data analytics and AI/ML techniques to drive workflow automation and orchestration, and leverages cloud-native software stacks and DevOps methodologies to accelerate time-to-market and rapidly respond to operator needs. |  |