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Kangjian Qin
Researcher at Zhejiang University
Publications - 19
Citations - 192
Kangjian Qin is an academic researcher from Zhejiang University. The author has contributed to research in topics: Decoding methods & Block Error Rate. The author has an hindex of 4, co-authored 18 publications receiving 127 citations.
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Proceedings ArticleDOI
Progressive Bit-Flipping Decoding of Polar Codes over Layered Critical Sets
TL;DR: In this paper, a progressive multi-level bit-flipping decoding algorithm was proposed to correct multiple errors over the multiple-layer critical sets each of which is constructed using the remaining undecoded subtree associated with the previous layer.
Proceedings ArticleDOI
Performance Evaluation of Channel Decoding with Deep Neural Networks
TL;DR: Numerical results show that RNN has the best decoding performance, yet at the price of the highest computational overhead, and there exists a saturation length for each type of neural network, which is caused by their restricted learning abilities.
Journal ArticleDOI
Progressive Bit-Flipping Decoding of Polar Codes: A Critical-Set Based Tree Search Approach
TL;DR: Numerical results show that the proposed ET-bit-flipping decoders can provide almost the same BLER performance as the state-of-the-art cyclic redundancy check-aided SC list decmoders, with an average computational complexity and decoding latency similar to that of the SC decoder at medium to a high SNR regime.
Journal ArticleDOI
Low-Latency Adaptive Ordered Statistic Decoding of Polar Codes
Kangjian Qin,Zhaoyang Zhang +1 more
TL;DR: This paper first proposes a novel codeword searching metric which proves to be hardware-friendly, and an adaptive OSD algorithm is then developed to adaptively rule out the unpromising codewords, thus significantly reducing the latency.
Proceedings ArticleDOI
Adaptive Ordered Statistic Decoding of Polar Codes for URLLC Systems
Kangjian Qin,Zhaoyang Zhang +1 more
TL;DR: Capitalizing on a novel codeword searching metric, the proposed decoder proves to be hardware-friendly and can adaptively rule out the unpromising codewords, thus reducing the latency significantly and Numerical results show that the adaptive OSD outperforms the conventional decoders in terms of block error rate and decoding latency.