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Using ArcGIS Network Analyst for Fiber Backhaul Planning

By Patrick Huls

 

Delivering fiber backhaul to potentially tens of thousands of new and existing cell sites requires careful planning to optimize the fiber routes.  This traditionally manual, costly, and time consuming process can now be automated using spatial analysis tools.  Esri offers a Backhaul Optimization model solution template that is built on the ArcGIS Network Analyst extension for ArcGIS Desktop. When given a set of wireless access points (for example, cell towers) and a set of network access points, the Backhaul Optimization model will quickly generate an optimized network topology and routing plan detailing how cell sites can be connected to the network.

The Backhaul Optimization model utilizes a spatial analysis tool in ArcGIS Network Analyst called, Closest Facility solver. The closest facility solver measures the distance between cell sites and network access points and determines the least cost route. The closest facility solver then displays the best routes between cell sites and the network, and reports their cost and length. To perform the routing, the closest facility solver requires a network dataset, like the one available in StreetMap Premium for ArcGIS.

The incorporated closest facility solver in the Backhaul Optimization model allows the user to define max number of cell sites to daisy chain together, select the analysis criteria using an impedance value (like shortest distance, least cost path, or number of businesses passed), and set any barriers, like railroad crossings, that should be avoided when designing routes.

The Backhaul Optimization model does require the locations (Lat/Long or Address) of the cell towers and network access points. If the the locations of the network access points are unavailable, then the existing fiber backbone routes can be used. In the latest release of the Backhaul Optimization model, version 2.0, the model optimized the routes for 429 remote sites in under 3 minutes. To learn more about the Backhaul Optimization model and to see a video of the model in action, check out this Story Map.

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Marco Boeringa(@mboeringa2010)
March 7, 2020 5:16 am

Excellent small series of blog posts about projections Heather!

Brief but really concise, clear and to the point. Should be of help to many.

Andres Castillo(@andrescastillo08)
March 20, 2020 10:53 pm

This is excellent.
Thank you very much.

Michael Davis(@mdavisgreenvillesc-ads_grvlsc)
March 24, 2020 7:20 am

Just Perfect Heather

Mujuni Desdery(@desderymujuniyahoo-com)
March 25, 2020 12:35 pm

Hi,I am Mujuni Desdery ,Cartographer ,currently work with Geological Survey of Tanzania. I have challenge on using both Geographical Coordinate System & Projected Coordinate System Always I made Georeference Raster with GCS , I create a Layers with PCS ,(in File Geodatabase).Finally at Layout stage I should display both GCS & PCS There error on displaying both GCS & PCS on fixed final layout Map.Main displayed at GCS looks like miss or overlaping either Easting or Northing of GCS . but PCS looks perfect Any one who experience this fatal, please help me to overcome it. …May be I was… Read more »

Training EsriNeA(@instructor03)
April 3, 2020 10:37 am

Hi,
Great post for Coordinate System, just one comment for last section (What’s the difference between a spatial reference and a coordinate system?). Actually there are difference between them as follow:
– Spatial Reference for 2D data = Horizontal Projected Coordinate System +XY Resolution+ XY Tolerance
– Spatial Reference for 3D data = Horizontal Projected Coordinate System + XY Tolerance + Vertical Coordinate System + Z Resolution +Z Tolerance

based to this Documentation:
https://desktop.arcgis.com/en/arcmap/latest/manage-data/geodatabases/the-properties-of-a-spatial-reference.htm

Thanks,
Mohamed Magdy

Chris Buhi(@chriswilliam)
May 6, 2020 2:51 pm

Thanks for the informative article. Coordinate Systems and Projections are topics that we have to keep revisiting because they can be complicated and it is easy to forget some of the details. It is kind of like math in a way. You think you know it but when you dive in after a break you realize you don’t know it as well as you thought

Taisiya Shumilova(@taiciia)
January 5, 2023 9:08 pm

Thank you for your hard working, Heather! It’s really great article 🙂

Sara Ramos(@ingsararamos)
January 18, 2023 3:31 am

Hello everyone.

Thanks a lot for this beneficial article.

I just have a quick question. Should all the data and layers in a map have the same GCS and PCS? I have put together two layers in a map whit different GCS and PCS to see what happened and I am able to see both layers and apparently, it works well with the location.

Thanks a lot!

Sara

Sara Ramos(@ingsararamos)
January 20, 2023 2:40 am
Reply to  Heather Smith

Thanks for your clear answer!