{"title":"一个节能的多速率QC-LDPC解码器","authors":"M. Roberts, Elizabeth Sunny","doi":"10.1109/TAPENERGY.2017.8397258","DOIUrl":null,"url":null,"abstract":"This paper introduces, an energy efficient multirate decoder architecture for quasi-cyclic low-density parity-check (QC-LDPC) codes. To achieve good error correcting performance with lower complexity, an improved normalized min-sum algorithm with row-merge scheme is adopted. By exploring the properties of the layered decoding scheme, an enhanced QC-LDPC code with overlapped matrix is employed to offer adequate flexibility for parallel degree optimization and convergence speed. This in turn reduces the linear encoding complexity and data correlation problems during the multi-rate operations of the proposed decoder. Furthermore, to avoid memory access conflicts without increasing the hardware resources, eDRAM is utilized. By utilizing eDRAM, the overall memory bandwidth requisite is reduced considerably along with the inter-connect complexity and hardware overhead. This overall multi-rate decoder is designed and implemented using TSMC 65nm GP CMOS Technology to support all the code rates of IEEE 802.16e applications. From the implementation results it is observed that the designed multi-rate decoder attains improved throughput-to-area ratio (TAR) with less power consumption when analysed with other multi-rate decoders.","PeriodicalId":237016,"journal":{"name":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An energy efficient multi-rate QC-LDPC decoder\",\"authors\":\"M. Roberts, Elizabeth Sunny\",\"doi\":\"10.1109/TAPENERGY.2017.8397258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces, an energy efficient multirate decoder architecture for quasi-cyclic low-density parity-check (QC-LDPC) codes. To achieve good error correcting performance with lower complexity, an improved normalized min-sum algorithm with row-merge scheme is adopted. By exploring the properties of the layered decoding scheme, an enhanced QC-LDPC code with overlapped matrix is employed to offer adequate flexibility for parallel degree optimization and convergence speed. This in turn reduces the linear encoding complexity and data correlation problems during the multi-rate operations of the proposed decoder. Furthermore, to avoid memory access conflicts without increasing the hardware resources, eDRAM is utilized. By utilizing eDRAM, the overall memory bandwidth requisite is reduced considerably along with the inter-connect complexity and hardware overhead. This overall multi-rate decoder is designed and implemented using TSMC 65nm GP CMOS Technology to support all the code rates of IEEE 802.16e applications. From the implementation results it is observed that the designed multi-rate decoder attains improved throughput-to-area ratio (TAR) with less power consumption when analysed with other multi-rate decoders.\",\"PeriodicalId\":237016,\"journal\":{\"name\":\"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAPENERGY.2017.8397258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAPENERGY.2017.8397258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
介绍了一种准循环低密度奇偶校验码(QC-LDPC)的高能效多速率解码器结构。为了在较低的复杂度下获得良好的纠错性能,采用了一种改进的归一化最小和行合并算法。通过探索分层解码方案的特性,采用了一种具有重叠矩阵的增强QC-LDPC码,为并行度优化和收敛速度提供了足够的灵活性。这反过来又降低了所提出的解码器在多速率操作期间的线性编码复杂性和数据相关问题。为了在不增加硬件资源的情况下避免内存访问冲突,采用了eDRAM。通过使用eDRAM,所需的总体内存带宽以及互连复杂性和硬件开销都大大降低。这款整体多速率解码器采用台积电65nm GP CMOS技术设计和实现,支持IEEE 802.16e应用的所有码率。从实现结果来看,与其他多速率解码器比较,所设计的多速率解码器在提高吞吐量面积比(TAR)的同时,功耗更低。
This paper introduces, an energy efficient multirate decoder architecture for quasi-cyclic low-density parity-check (QC-LDPC) codes. To achieve good error correcting performance with lower complexity, an improved normalized min-sum algorithm with row-merge scheme is adopted. By exploring the properties of the layered decoding scheme, an enhanced QC-LDPC code with overlapped matrix is employed to offer adequate flexibility for parallel degree optimization and convergence speed. This in turn reduces the linear encoding complexity and data correlation problems during the multi-rate operations of the proposed decoder. Furthermore, to avoid memory access conflicts without increasing the hardware resources, eDRAM is utilized. By utilizing eDRAM, the overall memory bandwidth requisite is reduced considerably along with the inter-connect complexity and hardware overhead. This overall multi-rate decoder is designed and implemented using TSMC 65nm GP CMOS Technology to support all the code rates of IEEE 802.16e applications. From the implementation results it is observed that the designed multi-rate decoder attains improved throughput-to-area ratio (TAR) with less power consumption when analysed with other multi-rate decoders.