Business Lab

Building the Future with Software-Based 5G Networking


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Next-generation solutions and products are hitting a wall with wi-fi: it’s not fast enough, and latency and connectivity issues mean it’s not reliable enough. What’s an innovator to do? Focus on what’s next: 5G and software-defined networking.

Nick McKeown, senior vice president and general manager of the network and edge group at Intel Corporation says this technical leap is what will make future innovation possible, “Once you've got a software platform where you can change its behavior, you can start introducing previously absurd-sounding ideas,” including, he continues, “fanciful ideas of automatic, real-time, closed-loop control of an entire network.”

While nascent, these technological advancements are already showing promise in practical applications. For example, in industrial settings where there’s more analysis happening at the edge, having greater observability into the network is allowing for fine timescale responses to mechanical errors and broken equipment. “Corrective action could be something as mundane as a broken link, a broken piece of equipment, but it could actually be a functional incorrectness in the software that is controlling it,” says McKeown.

Grad students and programmers are taking advantage of the advancements in network technology to try out new ideas through academic projects. “One of the key ideas,” says McKeown, “is to verify in real time that the network is operating according to a specification, formally checking against that specification in real time, as packets fly around in the network. This has never been done before.” And although this idea remains in the realm of research projects, McKeown believes it exemplifies the promise of a software-based 5G networking future.

Software-defined 5G networking promises applications that we can’t yet even imagine, says McKeown. “New IoT apps combined with both public and private 5G is going to create a ‘Cambrian explosion’ of new ideas that will manifest in ways that if we were to try to predict, we would get it wrong.”


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Business LabBy MIT Technology Review Insights

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