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Optimization Inspired Learning Network for Multiuser Robust Beamforming
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Optimization Inspired Learning Network for Multiuser Robust Beamforming
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Comments
Optimization Inspired Learning Network for MU Robust-Beamforming
Dear Minghe,
Thank you for sharing your research findings.
I have watched your seminar report and articles, which have inspired me.
Then, in the paper, inspired by the simple gradient projection (GP) method,
the high-quality solutions with a significantly low computation time were developed.
Moreover, I have a question:
Q1:
I don't know, is the content mentioned above optimized using ML technology?
Is it still a learning to optimization? Please refer to relevant work (i.e., Professor Wotao Yin, DAMO Academy, Alibaba Group).
Thank you for your time and effort.
Looking forward to your reply.
Best regards,
Meng Gao
Email：20b952022@stu.hit.edu.cn
Phone & Wechat: 15738897318
Optimization Inspired Learning Network for MU Robust-Beamforming
Dear Minghe,
Thank you for sharing your research findings.
I have watched your seminar report and articles, which have inspired me.
Then, in the paper, inspired by the simple gradient projection (GP) method,
the high-quality solutions with a significantly low computation time were developed.
Moreover, I have a question:
Q1:
I don't know, is the content mentioned above optimized using ML technology?
Is it still a learning to optimization? Please refer to relevant work (i.e., Professor Wotao Yin, DAMO Academy, Alibaba Group).
Thank you for your time and effort.
Looking forward to your reply.
Best regards,
Meng Gao
Email：20b952022@stu.hit.edu.cn
Phone & Wechat: 15738897318