Hot Search : Source embeded web remote control p2p game More...
Location : Home Downloads SourceCode Mathimatics-Numerical algorithms AI-NN-PR

大规模MIMO下的深度学习功率分配

  • Category : AI-NN-PR
  • Tags :
  • Update : 2021-06-02
  • Size : 30.08kb
  • Downloaded :1次
  • Author :TLMS006
  • About : Nobody
  • PS : If download it fails, try it again. Download again for free!
Introduction - If you have any usage issues, please Google them yourself
代码实现了在大规模MIMO背景下应用深度学习的方法解决优化了功率控制问题,是一篇论文的复现代码,毕设可以尝试理解、学习和引用。
Packet file list
(Preview for download)
Packet : 大规模MIMO中的深度学习功率分配.zip filelist
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/README.md
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionChannelEstimates.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionComputeSE_DL_poweralloc.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionComputeSINR_DL.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionExampleSetup.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionPowerOptimization_maxmin.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionPowerOptimization_prodSINR.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/functionRlocalscatteringApprox.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/main.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/NN_MMMSE_maxmin.py
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/NN_MMMSE_maxprod.py
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/NN_MR_maxmin.py
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/NN_MR_maxprod.py
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/transform_data_maxmin.m
Deep-Learning-Power-Allocation-in-Massive-MIMO-master/python_code/transform_data_maxprod.m
Related instructions
  • We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
  • The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
  • Please use Winrar for decompression tools
  • If download fail, Try it againg or Feedback to us.
  • If downloaded content did not match the introduction, Feedback to us,Confirm and will be refund.
  • Before downloading, you can inquire through the uploaded person information

Nothing.

Post Comment
*Quick comment Recommend Not bad Password Unclear description Not source
Lost files Unable to decompress Bad
*Content :
*Captcha :
DSSZ is the largest source code store in internet!
Contact us :
1999-2046 DSSZ All Rights Reserved.