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

Chao Lu, Wei Xu, Shi Jin, Kezhi Wang

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)
17 Downloads (Pure)


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 (JC-ResNet) 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.
Original languageEnglish
Pages (from-to)87-90
Number of pages4
JournalIEEE Wireless Communications Letters
Issue number1
Early online date20 Sept 2019
Publication statusPublished - 9 Jan 2020


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