mmWave MIMO: An LAMP-Based Network with Deep Residual Learning Combining the Prior Channel Information for Beamspace Sparse Channel Estimation
2021 IEEE 21st International Conference on Communication Technology (ICCT)（2021）
Abstract
In mmWave MIMO systems relying on lens antenna arrays, beamspace sparse channel estimation is one of the key technologies to improve system performance. One new beamspace sparse channel estimation scheme with deep residual learning is proposed, which introduces the channel prior information following the Gaussian mixture distribution and the residual processing unit. Firstly, the prior-aided GM-LA...
MoreTranslated text
Key words
System performance,Conferences,Channel estimation,Estimation,Sparse matrices,Computational complexity,MIMO communication
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined