Backhaul Optimization can be used to optimize backhaul routes for fiber networks and cell towers.
The solution applies spatial analysis to a set of remote assets, such as cell towers, and fixed network access points to rapidly generate a network topology or plan detailing how remote assets can be connected to the network with optimized route lengths and reduced deployment costs. The workflow reduces network planning labor time, minimizes CAPEX for network builds, and provides a repeatable business process for RFP response and design consistency.
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.