With the advent of 5G network expansion in the telecommunications industry, fast, high volume, low latency data streams are finally at our fingertips.
5G network features promise incredible new business opportunities around IoT devices, semi-autonomous vehicles, and augmented reality. This is due to the higher frequency bands of 5G network technology. These bands offer major improvements over data-payload and performance. They also present unique challenges: limited penetration through buildings and less distance between cell towers. 5G core network architecture includes not only the large and costly macro-cell towers of previous network generations, but also the massive deployment of small cell towers, including Femto, Pico, and Micro cell towers. Additionally, 5G requires in-building solutions such as distributed antenna systems (DAS). This new architecture is needed to provide complete coverage and support higher frequencies and much more data.
With DB-Turbo Version 5, telecommunication network operators, engineers, and data scientists can analyze and visualize complex data records at scale. DB-Turbo Version 5’s accelerated analytics platform leverages the parallel processing power of GPUs, or the untapped power of CPUs, to process and render massive volumes of data at millisecond speeds. Now, these data scientists and analysts can layer their existing network datasets with the modeling and coverage analysis needed to build and optimize 5G networks. They can rapidly run millions of complex calculations aimed at reducing interference between the innumerable towers of 5G networks.
Finally, these data scientists can interact with their datasets over heatmaps, choropleths, and a wide variety of customizable maps for spatio-temporal analysis and real-time insights around network coverage and speed. By leveraging DB-Turbo Version 5 to accelerate their data in-memory, mobile carriers can also accelerate machine learning algorithms and predictive analytics to visualize where 5G towers should be placed to meet growing demand.