A Novel Encoding and Decoding Method of LT Codes and Application to Cognitive Radio
-
摘要:
Luby变换(LT)码作为一种抗干扰编码技术，应用于认知无线电系统，可提高次用户数据传输的可靠性。编译码是影响LT码抗干扰性能的关键因素。为提高数据传输的可靠性和速度，该文提出一种适用于认知无线电系统的LT码联合泊松鲁棒孤子分布-叠层(CPRSD-H)编译码算法。编码过程中，编码器首先采用CPRSD进行编码产生编码分组和编码矩阵，随后通过编码矩阵中度数为1和度数为2对应的列向量携带双层信息：度数为1和度数为2的编码分组和与其相连接的输入分组的连接关系；部分原始数据信息。译码过程中，译码器首先通过第1层存储信息采用置信传播(BP)算法译码完成，随后一些未被成功译出的信息再通过第2层存储信息进行填补。仿真结果表明，将CPRSD-H编译码算法应用于认知无线电系统中，能够显著降低LT码的误比特率(BER)，提高次用户有效吞吐量以及加快LT码编译码速度。
-
关键词:
- 认知无线电 /
- Luby变换码 /
- 叠层编译码算法 /
- 联合泊松鲁棒孤子分布 /
- 有效吞吐量
Abstract:As an efficient anti-interference technique, Luby Transform (LT) codes are applied to cognitive radio systems for reliable data transmission of secondary users. Encoding and decoding are critical issue for the anti-interference performance of LT codes. To improve the reliability and speed of data transmission, a novel encoding and decoding method Combined Poisson Robust Soliton Distribution-Hierarchical (CPRSD-H) for LT codes is proposed to apply to cognitive radio systems. In the process of encoding, the encoder first produces encoded symbols and generator matrix based on CPRSD, and then uses column vectors corresponding to degree–1 and degree–2 in the generator matrix to carry dual information: the relationship between the degree–1 and degree–2 encoded symbols and their connected input symbols; and part of the original data. Contrarily, in the decoding process, the decoder first uses the Belief Propagation (BP) algorithm to decode by the first information, and then correct some unrecovered bits by the second information. Simulation results show that the proposed method CPRSD-H and application to cognitive radio systems can significantly reduce the Bit Error Rate (BER) of LT codes, the goodput performance of secondary users and the encoding and decoding speed of LT codes.
-
姜显扬, 夏凯莉, 唐向宏. 认知无线电频谱感知估计时延的随机规划优化算法[J]. 电子与信息学报, 2017, 39(11): 2548–2555. doi: 10.11999/JEIT170122JIANG Xianyang, XIA Kaili and TANG Xianghong. Stochastic approach optimization algorithm for cognitive radio spectrum sensing estimation delay time[J]. Journal of Electronics &Information Technology, 2017, 39(11): 2548–2555. doi: 10.11999/JEIT170122 CHEN Xiaoming, CHEN Hsiaohwa, and MENG Weixiao. Cooperative communications for cognitive radio networks—From theory to applications[J]. IEEE Communications Surveys & Tutorials, 2014, 16(3): 1180–1192. doi: 10.1109/SURV.2014.021414.00066 WILLKOMM D, GROSS J, and WOLISZ A. Reliable link maintenance in cognitive radio systems[C]. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, USA, 2005: 371–378. YUE Guosen and WANG Xiaodong. Anti-jamming coding techniques with application to cognitive radio[J]. IEEE Transactions on Wireless Communications, 2009, 8(12): 5996–6007. doi: 10.1109/TWC.2009.12.081627 YUE Guosen. Antijamming coding techniques[J]. IEEE Signal Processing Magazine, 2008, 25(6): 35–45. doi: 10.1109/MSP.2008.929285 LUBY M. LT codes[C]. The 43rd Annual IEEE Symposium on Foundations of Computer Science, Vancouver, Canada, 2002: 271–280. 孔博, 张更新, 张威, 等. 空间信息网络中基于LT码的分布式存储策略[J]. 电子与信息学报, 2016, 38(4): 787–794. doi: 10.11999/JEIT150674KONG Bo, ZHANG Gengxin, ZHANG Wei, et al. Distributed storage strategy based on LT codes in space information network[J]. Journal of Electronics &Information Technology, 2016, 38(4): 787–794. doi: 10.11999/JEIT150674 SUO Longlong, ZHANG Gengxin, LÜ Jing, et al. Performance analysis for finite length LT codes via classical probability evaluation[J]. IEEE Communications Letters, 2017, 21(9): 1957–1960. doi: 10.1109/LCOMM.2017.2700303 焦健, 杨志华, 顾术实, 等. 基于随机置换展开与停止集的LT码联合编译码算法[J]. 通信学报, 2013, 34(2): 31–39. doi: 10.3969/j.issn.1000-436x.2013.02.005JIAO Jian, YANG Zhihua, GU Shushi, et al. Novel joint encoding/decoding algorithms of LT codes based on random permute egde-growth and stopping set[J]. Journal on Communications, 2013, 34(2): 31–39. doi: 10.3969/j.issn.1000-436x.2013.02.005 LU Haifeng, LU Feng, CAI Jianfei, et al. LT-W: Improving LT decoding with Wiedemann solver[J]. IEEE Transactions on Information Theory, 2013, 59(12): 7887–7897. doi: 10.1109/TIT.2013.2283500 姚渭箐, 易本顺. 基于存储机制的LT码编译码方法[J]. 系统工程与电子技术, 2018, 40(1): 165–170.YAO Weiqing and YI Benshun. Memory-based encoding and decoding of LT codes[J]. Systems Engineering and Electronic, 2018, 40(1): 165–170. YAO Weiqing, YI Benshun, LI Weizhong, et al. CPRSD for LT codes[J]. IET Communications, 2016, 10(12): 1411–1415. doi: 10.1049/iet-com.2015.1183 MACKAY D J C. Fountain codes[J]. IEE Proceedings-Communications, 2005, 152(6): 1062–1068. doi: 10.1049/ip-com.20050237 LIAU A, YOUSEFI S, and KIM I M. Binary soliton-like rateless coding for the Y-network[J]. IEEE Transactions on Communications, 2011, 59(12): 3217–3222. doi: 10.1109/TCOMM.2011.091911.100189 ETESAMI O and SHOKROLLAHI A. Raptor codes on binary memoryless symmetric channels[J]. IEEE Transactions on Information Theory, 2006, 52(5): 2033–2051. doi: 10.1109/TIT.2006.872855 YAO Weiqing, YI Benshun, HUANG Taiqi, et al. Poisson robust soliton distribution for LT codes[J]. IEEE Communications Letters, 2016, 20(8): 1499–1502. doi: 10.1109/LCOMM.2016.2578920 -
下载:
计量
- 文章访问数: 1989
- HTML全文浏览量: 687
- PDF下载量: 46
- 被引次数: 0
下载:
