高效QC-LDPC预编码Raptor编码协作方案

包建荣; 何丹; 许晓荣; 姜斌

doi:10.11999/JEIT160400

高效QC-LDPC预编码Raptor编码协作方案

doi: 10.11999/JEIT160400

2.
(杭州电子科技大学通信工程学院杭州 310018) ②(东南大学移动通信国家重点实验室南京 210096)

基金项目:

浙江省自然科学基金(LZ14F010003, LY15 F010008)，国家自然科学基金(61471152)，东南大学移动通信国家重点实验室开放研究基金(2014D02)，浙江省公益性技术应用研究计划 (2015C31103)

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出版历程
- 收稿日期: 2016-04-22
- 修回日期: 2016-09-02
- 刊出日期: 2017-03-19

Efficient Raptor Coded Cooperation Scheme via QC-LDPC Pre-coding

2.
(School of Telecommunication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China)

Funds:

Zhejiang Provincial National Natural Science Foundation (LZ14F010003, LY15F010008), The National Natural Science Foundation of China (61471152), The Open Research Fund of National Mobile Communications Research Laboratory Southeast University (2014D02), Zhejiang Provincial Science and Technology Plan Project (2015C31103)

摘要

摘要: 传统协作通信常采用译码转发(DF)协议。而该协议在源-中继节点链路通信质量较差情况下，易出现误码传播现象。为了改进该问题，该文提出可应用于编码协作(CC)机制的Raptor编码协作方案，其可在高信噪比下获得较大编码增益和满分集增益。它在源节点和中继节点使用不同Raptor编码，使中继节点新编码码字为源节点码字的部分校验信息，使接收端所得码字独立不等。因此，目的节点在分别接收来自不同独立链路消息后，可根据码字间固有关系联合译码，以获得额外发送空间分集增益。为了降低复杂度，Raptor码的预编码还可采用整数序列构造的准循环低密度奇偶校验(QC-LDPC)码，从而获得较低线性预编码复杂度。仿真表明：在误比特率(BER)为10-4 时，所提Raptor编码协作方案较传统DF协议Raptor方案，Raptor与分布式空时分组码(DSTBC)结合方案，分别有2 dB和1 dB增益。此外，当中断概率为10-2时，其性能较CC, DF协作方案提高了约2 dB和7 dB。
- Raptor编码协作 /
- 误比特率 /
- 中断概率 /
- 准循环低密度奇偶校验码 /
- 整数序列
Abstract: Traditionally, the cooperative communications usually uses Decode-and-Forward (DF) strategy. However, there is easily error propagation phenomenon by the strategy, when the quality of the communication link between source and relay is poor. To solve the problem, a novel Raptor coded cooperation scheme, which can be used in the Coded Cooperation (CC) strategy, is proposed to achieve rather high coding gains and full diversity gains in high Signal-to-Noise Ratio (SNR) regime. In this scheme, different Raptor codes are employed at the source and relay nodes, so the codeword at each node is independent and unequal. Meanwhile, the codeword at relay node is the parity check section of the codeword at the source node. Therefore, after receiving the data transmitted from different independent links, the destination node tries to decode them jointly by the intrinsic relationship among them, to obtain additionally spatial diversity gains in transmission. In addition, in order to reduce the complexity of Raptor encoding and decoding, the Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes are constructed by integer sequence and employed as the pre-coding. Simulations indicate that the proposed Raptor CC scheme achieves 2 dB and 1 dB performance gains compared with those of the traditional DF based one and a scheme with the combination of a Raptor code and a Distributed Space-Time Block Code (DSTBC), respectively, at Bit Error Rate (BER) of10-4 . Moreover, the performance improves about 2 dB and 7 dB at the outage of10-2 , when compared with those of the CC strategy and DF strategy, respectively.
- Raptor coded cooperation /
- Bit Error Ratio (BER) /
- Outage probability /
- Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) code /
- Integer sequence

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参考文献(27)

SHOKROLLAHI A. Raptor codes[J]. IEEE Transactions on Information Theory, 2006, 52(6): 2551-2567. doi: 10.1109/ TIT.2006.874390.

ZHANG H T and KUO G S. Raptor code for downlink cooperative wireless cellular networks[C]. IEEE Vehicular Technology Conference 2008, Beijing, China, 2008: 1-5. doi: 10.1109/VETECF.2008.344.

祝开艳, 王洪玉, 孙文珠, 等. 一种分布式喷泉码在协作通信中的应用[J]. 电子学报, 2014, 42(7): 1249-1255. doi: 10.3969 /j.issn.0372-2112.2014.07.001.

ZHU Kaiyan, WANG Hongyu, SUN Wenzhu, et al. A distributed fountain code for cooperative communications[J]. Acta Electronica Sinica, 2014, 42(7): 1249-1255. doi: 10.3969/ j.issn.0372-2112.2014.07.001.

JAMES A and MADHUKUMAR A S. Performance limits of rateless codes in delay constrained multi-hop relay networks[C]. IEEE International Conference on Communications Workshops 2014, Sydney, Australia, 2014: 325-330. doi: 10.1109/ICCW.2014.6881217.

寇明延, 张登福, 徐志刚, 等. MIMO时分蜂窝系统混合协作上行性能研究[J]. 电子与信息学报, 2010, 32(7): 1538-1542. doi: 10.3724/SP.J.1146.2009.01053.

KOU Mingyan, ZHANG Dengfu, XU Zhigang, et al. Uplink performance of MIMO TDMA cellular system with hybrid collaboration[J]. Journal of Electronics Information Technology, 2010, 32(7): 1538-1542. doi: 10.3724/SP.J.1146. 2009.01053.

HU J and DUMAN T M. Low density parity check codes over half-duplex relay channels[C]. IEEE International Symposium on Information Theory 2006, Seattle, USA, 2006: 972-976. doi: 10.1109/ISIT.2006.261872.

UPPAL M, HOST-MADSEN A, and XIONG Z X. Practical rateless cooperation in multiple access channels using multiplexed raptor codes[C]. IEEE International Symposium on Information Theory 2007, Nice, France, 2007: 671-675. doi: 10.1109/ISIT.2007.4557302.

GALLAGER R G. Low-density parity-check codes[J]. IRE Transaction on Information Theory, 1962, 8(1): 21-28. doi: 10.1109/TIT.1962.1057683.

张轶, 达新宇, 苏一栋. 利用等差数列构造大围长准循环低密度奇偶校验码[J]. 电子与信息学报, 2015, 37(2): 394-398. doi: 10.11999/JEIT140538.

ZHANG Yi, DA Xinyu, and SU Yidong. Construction of quasi-cyclic low-density parity-check codes with a large girth based on arithmetic progression[J]. Journal of Electronics Information Technology, 2015, 37(2): 394-398. doi: 10.11999/ JEIT140538.

ZHANG J and ZHANG G. Deterministic girth-eight QC-LDPC codes with large column weight[J]. IEEE Communications Letters, 2014, 18(4): 656-659. doi: 10.1109/ LCOMM.2014.030114.132853.

张国华, 陈超, 杨洋, 等. Girth-8 (3,L)-规则QC-LDPC码的一种确定性构造方法[J]. 电子与信息学报, 2010, 32(5): 1152-1156. doi: 10.3724/SP.J.1146.2009.00838.

ZHANG Guohua, CHEN Chao, YANG Yang, et al. Girth-8 (3, L)-regular QC-LDPC codes based on novel deterministic design technique[J]. Journal of Electronics Information Technology, 2010, 32(5): 1152-1156. doi: 10.3724/SP.J.1146. 2009.00838.

ZHANG S W, SONG R F, and YANG F F. Joint design of QC-LDPC codes for cascade-based multisource coded cooperation[C]. International Conference on Wireless Communications and Signal Processing 2015, Nanjing, China, 2015: 1-4. doi: 10.1109/WCSP.2015.7340967.

ZHANG Y, YANG F F, and SONG W J. Performance analysis for cooperative communication system with QC-LDPC codes constructed with integer sequences[J]. Discrete Dynamics in Nature and Society, 2015, 2015: 1-7. doi: 10.1155/2015/649814.

袁建国, 王望, 梁天宇. 一种高速长距离光通信系统中QC-LDPC码的构造方法[J]. 光电子激光, 2012, 23(5): 906-909. doi: 10.16136/j.joel.2012.05.025.

YUAN Jianguo, WANG Wang, and LIANG Tianyu. A novel construction method of QC-LDPC codes for high-speed long-haul optical communication systems[J]. Journal of Optoelectronics Laser, 2012, 23(5): 906-909. doi: 10.16136/ j.joel.2012.05.025.

ZHAO D F and LI D B. Coded cooperation scheme using LDPC codes[J]. Journal of Beijing University of Posts and Telecommunications, 2008, 31(5): 121-125.

SIMON M K and ALOUINI M S. Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis[M]. New York: John Wiley Sons, 2000: 506-510. doi: 10.1002/0471200697.

CHEN Wei and CHEN Wen. A new rateless coded cooperation scheme for multiple access channels[C]. IEEE International Conference on Communications 2011 (ICC2011), Kyoto, Japan, 2011: 1-5. doi: 10.1109/icc. 2011.5962473.

彭木根, 王文博. 协同无线通信原理与应用[M]. 北京: 机械工业出版社, 2008: 48-53.

PENG Mugen and WANG Wenbo. Cooperative Wireless Communications: Principles and Practice[M]. Beijing: China Machine Press, 2008: 48-53.

OMID E and AMIN S. Raptor codes on binary memoryless symmetric channels[J]. IEEE Transactions on Information Theory, 2006, 52(5): 2033-2051. doi: 10.1109/TIT.2006. 872855.

段琳琳, 王忠勇, 王玮, 等. 低复杂度的自适应置信差分迭代译码算法[J]. 电子与信息学报, 2014, 36(11): 2640-2645. doi: 10.3724/SP.J.1146.2014.00234.

DUAN Linlin, WANG Zhongyong, WANG Wei, et al. An adaptive belief propagation difference-map iterative decoding algorithm with low complexity[J]. Journal of Electronics Information Technology, 2014, 36(11): 2640-2645. doi: 10.3724/SP.J.1146.2014.00234.

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