Bit-level Optimized Neural Network for Multi-antenna Channel Quantization

24 Sep 2019 · Chao Lu, Wei Xu, Shi Jin, Kezhi Wang ·

Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology. In order to reduce the overhead of CSI feedback, we propose a deep learning based CSI quantization method by developing a joint convolutional residual network (JCResNet) which benefits MIMO channel feature extraction and recovery from the perspective of bit-level quantization performance. Experiments show that our proposed method substantially improves the performance.

PDF Abstract

Code

Add Remove Mark official

No code implementations yet. Submit your code now

Datasets

Add Datasets introduced or used in this paper

Edit Social Preview

Bit-level Optimized Neural Network for Multi-antenna Channel Quantization

Code Edit Add Remove Mark official

Categories

Datasets Edit

Code

Add Remove Mark official

Datasets