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SON is ready to rise in mobile backhaul networks

According to Infonetics, the primary reasons to deploy SON (self-organizing networks) are OpEx reduction, improvement in capacity, quality, network performance, and small cell usage. I have been hearing exactly the same message in my discussions with service providers all over the world. The fundamental goal of SON is to minimize the network lifecycle-related cost.


Layered mobile backhaul architecture supports network scalability and easy management

Mobile backhaul architecture should be designed according to the needs of the carried services. One way to do this is for operators to look to the traffic volume distribution among the cell sites. Feedback that we’ve received from operators suggests that, typically, well over 50% of traffic volumes originate from cell sites in urban regions.


Let the SON shine in mobile backhaul networks

You may be familiar with the concept of self-organizing networks (SON) in radio access networks (RANs). Since 2009, network operators have incorporated SON technology into their RANs in an effort to:

  • increase automation
  • reduce capital expenses (CapEx)
  • reduce operational expenses (OpEx).

While SON can automate the network functions at the base station site, this solves only one part of the overall challenge for service providers. In order to get the full benefit of SON, operators must consider both radio and mobile backhaul network pieces.


Tellabs helps Vodafone Italy transition to LTE, plus more in new issue of Insight magazine

All over the world, service providers face the challenge of exponential mobile data growth. Addressing user demand puts considerable strain on networks. What’s more, service providers need ways to maximize revenue and keep costs down.

With our innovative solutions, Tellabs helps our customers overcome these challenges. Our products make customers’ networks smarter and simpler, so users around the globe can get what they need, exactly when they need it.


Getting perspective in your network

What if a service provider could predict exactly when and where its network capacity was going to be needed?

What if a service provider can view how the network is behaving from the base station to the RNC and determine performance as it relates customers? 

Sound impossible? Well, it’s not.


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