Comments (3)
Thanks!
THen it becomes reasonable and rewarding to start a 'meta-channel' project, which contains multiple channels, in Python. My feeling is, AI-based communication will face multiple channels, then conducting Meta-Learning/Multi-task learning does require a 'meta-channel' dataset.
Let me do this. I will initiate a project on MetaChannels, and play with meta learning on top of it. When the code is verified, I will open-source it, and wait for some suggestion to add more channels.
from paper-with-code-of-wireless-communication-based-on-dl.
There is a python version of WINNER II Channel Model, but the latest update time is four years ago. As I know, the most popular channel model now is cost2100,but haven't see a python version. furthermore, an open-source nonstationary channel model is needed, both Matlab and python version.
For the second question:
If not, shall we start to write one?
I would be sorry to say that I am not competent for this hard task because of my poor wireless channel knowledge. But I prefer to think the "we" you mean is the wireless communication community.
from paper-with-code-of-wireless-communication-based-on-dl.
Thanks!
THen it becomes reasonable and rewarding to start a 'meta-channel' project, which contains multiple channels, in Python. My feeling is, AI-based communication will face multiple channels, then conducting Meta-Learning/Multi-task learning does require a 'meta-channel' dataset.
Let me do this. I will initiate a project on MetaChannels, and play with meta learning on top of it. When the code is verified, I will open-source it, and wait for some suggestion to add more channels.
Hi, you might be interested in this work Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels, here is the source code meta-autoencoder. Hope it helps!
from paper-with-code-of-wireless-communication-based-on-dl.
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