Inductively-powered wireless solid-state drive (SSD) system with merged error correction of high-speed non-contact data links and NAND flash memory

Author(s):  
Atsutake Kosuge ◽  
Junki Hashiba ◽  
Toru Kawajiri ◽  
So Hasegawa ◽  
Tsunaaki Shidei ◽  
...  
2014 ◽  
Vol 513-517 ◽  
pp. 2094-2098 ◽  
Author(s):  
Wen Zhe Zhao ◽  
Kai Zhao ◽  
Qiu Bo Chen ◽  
Min Jie Lv ◽  
Zuo Xun Hou

This paper concerns the design of high-speed and low-cost LDPC code bit-flipping decoder. Due to its inferior error correction strength, bit-flipping decoding received very little attention compared with message-passing decoding. Nevertheless, emerging flash-based solid-state data storage systems inherently favor a hybrid bit-flipping/message-passing decoding strategy, due to the significant dynamics and variation of NAND flash memory raw storage reliability. Therefore, for the first time highly efficient silicon implementation of bit-flipping decoder becomes a practically relevant topic. To address the drawbacks caused by the global search operation in conventional bit-flipping decoding, this paper presents a novel bit-flipping decoder design. Decoding simulations and ASIC design show that the proposed design solution can achieve upto 80% higher decoding throughput and meanwhile consume upto 50% less silicon cost, while maintaining almost the same decoding error correction strength.


2012 ◽  
Vol 9 (8) ◽  
pp. 779-794 ◽  
Author(s):  
Ken Takeuchi ◽  
Teruyoshi Hatanaka ◽  
Shuhei Tanakamaru

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 879
Author(s):  
Ruiquan He ◽  
Haihua Hu ◽  
Chunru Xiong ◽  
Guojun Han

The multilevel per cell technology and continued scaling down process technology significantly improves the storage density of NAND flash memory but also brings about a challenge in that data reliability degrades due to the serious noise. To ensure the data reliability, many noise mitigation technologies have been proposed. However, they only mitigate one of the noises of the NAND flash memory channel. In this paper, we consider all the main noises and present a novel neural network-assisted error correction (ANNAEC) scheme to increase the reliability of multi-level cell (MLC) NAND flash memory. To avoid using retention time as an input parameter of the neural network, we propose a relative log-likelihood ratio (LLR) to estimate the actual LLR. Then, we transform the bit detection into a clustering problem and propose to employ a neural network to learn the error characteristics of the NAND flash memory channel. Therefore, the trained neural network has optimized performances of bit error detection. Simulation results show that our proposed scheme can significantly improve the performance of the bit error detection and increase the endurance of NAND flash memory.


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