4 ms·
This is using strange terminology, but it sounds like 'layer B' and 'layer C' are literally higher layers in the network stack. Why would those things be locked
by adfgdfhaerheq 5y ago
This is using strange terminology, but it sounds like 'layer B' and 'layer C' are literally higher layers in the network stack. Why would those things be locked in to '6G'? Why not use them with existing 5G hardware or on my home fiber connection?
Consider the following paragraph:
>Including level B technologies would look something like each video call participant locally predicting and rendering any missing portions of the video data if a glitch or network hiccup happens. Currently, we allocate significant amounts of time, energy, and computational resources to ensure very high transmission reliability. But instead, each participant’s machine—whether it’s a laptop, phone, or something else—would “fill in the blanks” by inferring what was missing based on what had arrived. On a deeper level, machines would be able to reconstruct data with the same meaning as what was sent, even if it’s not the same on a bit-by-bit or pixel-by-pixel level. The machine learning techniques to do this already exist, though they are still relatively new: Two examples are variational autoencoders and generative adversarial networks. The latter in particular has gained attention in recent years because of its ability to develop deepfake images.
The author is talking about video codecs. Certainly codecs can be much improved based on a higher-level understanding of the content. What does that have to do with networks?