Whether responding to RFPs as a fiber network provider or deploying fiber to cell tower infrastructure, backhaul planning can be a time consuming and costly endeavor. Backhaul Optimization provides a repeatable business process to create initial network topologies using a geographic approach to optimize route lengths and reduce deployment costs. When given a set of remote assets (for example, cell towers) and a set of fixed network access points, the tools will quickly generate an optimized network topology or plan detailing how remote assets can be connected to the network.
The Backhaul Optimization solution can help to:
Backhaul Optimization requires specific technical experience and software.
When you download the Backhaul Optimization, you'll find the following in the zip file:
|MapsAndGDBs||BackhaulOptimization.mxd||A map document used to backhaul remote assets to the network.|
|BackhaulResults.gdb||A sample geodatabase with backhaul results.|
|SampleData.gdb||A sample geodatabase with asset and backbone data.|
|Tools\Backhaul.pyt||The Python toolbox used to locate assets and perform backhaul optimization.|
|Tools\backhaul||The folder containing the Python toolbox source code.|
|Tools\Symbology||The folder containing the output symbology for the backhaul scripts.|
Below are the release dates and notes for Backhaul Optimization.