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I would like to express my appreciation of your paper "Power of deep learning for channel estimation and signal detection in OFDM systems". Inspired by your work I and my colleagues extended your research and results and observed some gains comparing to traditionall methods of channel estimation and signal demodulation. We analyzed different ANN architectures and different MIMO-OFDM system parameters like modulation order, number of MIMO layers, correlation type between antennas. If you want we can trigger some more detailed internal discussion.
Best Regards,
Artyom
The text was updated successfully, but these errors were encountered:
I would like to express my appreciation of your paper "Power of deep learning for channel estimation and signal detection in OFDM systems". Inspired by your work I and my colleagues extended your research and results and observed some gains comparing to traditionall methods of channel estimation and signal demodulation. We analyzed different ANN architectures and different MIMO-OFDM system parameters like modulation order, number of MIMO layers, correlation type between antennas. If you want we can trigger some more detailed internal discussion.
Best Regards,
Artyom
Hi Artyom,
I am David Liu, a Ph.D. at the University of Edinburgh. My colleague and I also did some research based on this code and paper. It will be very nice for us to have an internal discussion. My email address is [email protected], and I am looking forward to your reply.
Hello Hao Ye,
I would like to express my appreciation of your paper "Power of deep learning for channel estimation and signal detection in OFDM systems". Inspired by your work I and my colleagues extended your research and results and observed some gains comparing to traditionall methods of channel estimation and signal demodulation. We analyzed different ANN architectures and different MIMO-OFDM system parameters like modulation order, number of MIMO layers, correlation type between antennas. If you want we can trigger some more detailed internal discussion.
Best Regards,
Artyom
The text was updated successfully, but these errors were encountered: