Channel capacity and soft-decision decoding of LDPC codes for spin-torque transfer magnetic random access memory (STT-MRAM)

Spin-torque transfer magnetic random access memory (STT-MRAM) has emerged as a promising non-volatile memory (NVM) technology, featuring compelling advantages in scalability, speed, endurance, and power consumption. In this paper, we focus on large-capacity stand-alone STT-MRAM, and investigate the...

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Bibliographic Details
Published in2013 International Conference on Computing, Networking and Communications (ICNC) pp. 550 - 554
Main Authors Kui Cai, Zhiliang Qin, Bingjin Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2013
Subjects
Bit error rate
Channel capacity
Decoding
Magnetic tunneling
Parity check codes
Quantization (signal)
Resistance
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Summary:Spin-torque transfer magnetic random access memory (STT-MRAM) has emerged as a promising non-volatile memory (NVM) technology, featuring compelling advantages in scalability, speed, endurance, and power consumption. In this paper, we focus on large-capacity stand-alone STT-MRAM, and investigate the channel capacity and the viability of applying low-density parity-check (LDPC) codes with soft-decision decoding to correct the memory cell errors and improve the storage density of STT-MRAM. We propose to use LDPC codes with short codeword lengths, with the reliability-based min-sum (RB-MS) algorithm for decoding. Furthermore, we propose to use the capacity-maximization criterion to design the quantizer and minimize the number of quantization bits. Simulation results demonstrate the potential of applying short-block-length LDPC codes with soft-decision decoding to improve the yield and push the scaling limitation of STT-MRAM.
ISBN:146735287X
9781467352871
DOI:10.1109/ICCNC.2013.6504145