Optimizing 5G Network Data Transfers with Intelligent Frameworks

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Scientists from North Carolina State University have invented a new way for cellular communication nodes in 5G systems to efficiently partition bandwidth. According to researchers, this will improve end-to-end data transmission rates. Simulations of this technology have already reached the international goal of 10 gigabits per second for areas with peak performance.

“End-to-end transfer means that the technology accounts for all of the connections between a data source and the end user. My technology, incorporating both hardware and software, is a framework that takes into account data transfer rates, wired and wireless bandwidth availability, and the power of base stations – or eNodeBs – in a 5G network. It then uses stochastic optimization modeling to determine the most efficient means of transferring and retrieving data – and it does this very quickly, without using a lot of computing power.”

Shih-Chun Lin, assistant professor of electrical and computer engineering at NC State and author of a paper on the work

This technology takes end-to-end network slicing, and looks at it from the same perspective as that employed in wireless software-defined networking architectures. This allows scientists to jointly optimize every communication functionality available for both radio access as well as core networks. This helps to guarantee a congestion-free system with maximized data throughput.

To achieve this, scientists looked at virtualization across access and core network domains (commonly known as end-to-end) and introduced it to dedicated control units. These units included local baseband servers as well as high-level controllers. From there, a randomly virtualization problem is created, first ensuring that it is utility optimal. This helps to optimize congestion control, power slicing, and flow routing in one smooth step. At the same time it helps to handle system-level restraints and flow-queue stability.

Once the virtualization problem has been transformed into a more manageable form, a very special iterative network slicing algorithm is added to the mix. The algorithm uses a primal-dual Newton method with quadratic convergence. This helps to ensure resource-efficient virtualization thanks to control-unit coordination.

Scientists believe this groundbreaking technology, which will be presented in full on December 11 at IEEE GLOBECOM’18, could dramatically improve the ways and speed with which we communicate digitally.

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