Improving MRAM Performance with Sparse Modulation and Hamming Error Correction
With the rise of the Internet of Things (IoT), smart sensors are increasingly being deployed as compact edge processing units, necessitating continuously writable memory with low power consumption and fast access times. Magnetic random-access memory (MRAM) has emerged as a promising non-volatile alt...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/13/4050 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849427506611879936 |
|---|---|
| author | Nam Le Thien An Nguyen Jong-Ho Lee Jaejin Lee |
| author_facet | Nam Le Thien An Nguyen Jong-Ho Lee Jaejin Lee |
| author_sort | Nam Le |
| collection | DOAJ |
| description | With the rise of the Internet of Things (IoT), smart sensors are increasingly being deployed as compact edge processing units, necessitating continuously writable memory with low power consumption and fast access times. Magnetic random-access memory (MRAM) has emerged as a promising non-volatile alternative to conventional DRAM and SDRAM, offering advantages such as faster access speeds, reduced power consumption, and enhanced endurance. However, MRAM is subject to challenges including process variations and thermal fluctuations, which can induce random bit errors and result in imbalanced probabilities of 0 and 1 bits. To address these issues, we propose a novel sparse coding scheme characterized by a minimum Hamming distance of three. During the encoding process, three check bits are appended to the user data and processed using a generator matrix. If the resulting codeword fails to satisfy the sparsity constraint, it is inverted to comply with the coding requirement. This method is based on the error characteristics inherent in MRAM to facilitate effective error correction. Furthermore, we introduce a dynamic threshold detection technique that updates bit probability estimates in real time during data transmission. Simulation results demonstrate substantial improvements in both error resilience and decoding accuracy, particularly as MRAM density increases. |
| format | Article |
| id | doaj-art-00f8272ec25c467fb9ffc97c6d27b56e |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-00f8272ec25c467fb9ffc97c6d27b56e2025-08-20T03:29:02ZengMDPI AGSensors1424-82202025-06-012513405010.3390/s25134050Improving MRAM Performance with Sparse Modulation and Hamming Error CorrectionNam Le0Thien An Nguyen1Jong-Ho Lee2Jaejin Lee3Department of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Republic of KoreaDepartment of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Republic of KoreaSchool of Electronic Engineering, Soongsil University, Seoul 06978, Republic of KoreaDepartment of Information Communication Convergence Technology, Soongsil University, Seoul 06978, Republic of KoreaWith the rise of the Internet of Things (IoT), smart sensors are increasingly being deployed as compact edge processing units, necessitating continuously writable memory with low power consumption and fast access times. Magnetic random-access memory (MRAM) has emerged as a promising non-volatile alternative to conventional DRAM and SDRAM, offering advantages such as faster access speeds, reduced power consumption, and enhanced endurance. However, MRAM is subject to challenges including process variations and thermal fluctuations, which can induce random bit errors and result in imbalanced probabilities of 0 and 1 bits. To address these issues, we propose a novel sparse coding scheme characterized by a minimum Hamming distance of three. During the encoding process, three check bits are appended to the user data and processed using a generator matrix. If the resulting codeword fails to satisfy the sparsity constraint, it is inverted to comply with the coding requirement. This method is based on the error characteristics inherent in MRAM to facilitate effective error correction. Furthermore, we introduce a dynamic threshold detection technique that updates bit probability estimates in real time during data transmission. Simulation results demonstrate substantial improvements in both error resilience and decoding accuracy, particularly as MRAM density increases.https://www.mdpi.com/1424-8220/25/13/4050asymmetric write error ratecascaded channelerror correction codes (ECCs)the Hamming codenon-volatile RAMsparse codes |
| spellingShingle | Nam Le Thien An Nguyen Jong-Ho Lee Jaejin Lee Improving MRAM Performance with Sparse Modulation and Hamming Error Correction Sensors asymmetric write error rate cascaded channel error correction codes (ECCs) the Hamming code non-volatile RAM sparse codes |
| title | Improving MRAM Performance with Sparse Modulation and Hamming Error Correction |
| title_full | Improving MRAM Performance with Sparse Modulation and Hamming Error Correction |
| title_fullStr | Improving MRAM Performance with Sparse Modulation and Hamming Error Correction |
| title_full_unstemmed | Improving MRAM Performance with Sparse Modulation and Hamming Error Correction |
| title_short | Improving MRAM Performance with Sparse Modulation and Hamming Error Correction |
| title_sort | improving mram performance with sparse modulation and hamming error correction |
| topic | asymmetric write error rate cascaded channel error correction codes (ECCs) the Hamming code non-volatile RAM sparse codes |
| url | https://www.mdpi.com/1424-8220/25/13/4050 |
| work_keys_str_mv | AT namle improvingmramperformancewithsparsemodulationandhammingerrorcorrection AT thienannguyen improvingmramperformancewithsparsemodulationandhammingerrorcorrection AT jongholee improvingmramperformancewithsparsemodulationandhammingerrorcorrection AT jaejinlee improvingmramperformancewithsparsemodulationandhammingerrorcorrection |