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

Lu, Chao, Xu, Wei, Jin, Shi and Wang, Kezhi (2020) Bit-level Optimized Neural Network for Multi-antenna Channel Quantization. IEEE Wireless Communications Letters, 9 (1). pp. 87-90. ISSN 2162-2337

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Abstract

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.

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