A team of researchers from Sichuan province, China, led by professor Hang Zhou of Chengdu Technological University has studied how best to balance the data-processing demands between the cloud, edge, and close-to-device servers in a manufacturing environment assuming a heterogenous 6G network. They wanted to find the optimum balance between low-energy usage and low latency when splitting computing tasks between these network elements, to reflect manufacturers’ demands for minimum disruption and minimum cost. Their results show anywhere up to 30% less energy usage than processing close to the device and even slightly reduced latency. Full details are available here.
The Development & Current Status of Error-Correcting Code
Shenghan Wu of StorArt shared this lecture on the challenges and potential future of error correction as we move from 5G to 6G.