The benefits of iNOP are well demonstrated via a simple example. Take a small network of 400 microwave connections and a few HUB sites with fiber optic access in a transmission network. A mere 400 connections lead to more than 80,000 possible topology combinations if each site is connected to only one optical hub with one microwave hop, and all the sites have LoS (Line of Sight) to all the others. This is a realistic scenario for macro-sites in a dense urban environment.
Combine this with implementation and operation cost alternatives and constraints, applicable frequency plans, transmission capacity requirements and future network expansion goals, and selecting the optimal network plan is getting even more complicated.
In your entire network consisting of thousands, or tens of thousands of sites and connections the number of possible combinations even more dramatically increases. You might call it combinatory explosion. Manually selecting the technically best network with the optimal TCO out of all the possible alternatives is almost impossible.
You need to simulate the technical characteristics and cost structure of all possible network variations to select the optimal solution, but this is not feasible due to the enormous amount of time and resources needed. With its cutting edge mathematical algorithms and artificial intelligence, iNOP can easily solve the puzzle and find the optimal solution within a few hours after analyzing in some cases millions of scenarios.
Whether the operator rolls-out a new radio technology in its network, expands the coverage or capacity of an existing layer or just wants to save costs, iNOP due to its flexibility will always find the transmission network with optimal technical characteristics and cost structure to fulfill the expectations.