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基于失真累计分组的5G无线网络联合信道编码 被引量:2

5G wireless networks joint channel coding based on distortion cumulative fragmentation
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摘要 针对当前5G信道编码算法无法根据分组生成情况进行动态差错保护,难以对信源信息进行分组优化编码的不足,提出基于最低失真累计分组机制的5G无线网络联合信道编码优化算法。综合考虑信源及信道的失真累计,通过父分组-子分组生成方法,构建最低累计失真累计分组,有效降低编码周期内的信道传输误差,优化信号传输效率;将块编码嵌入信道编码过程,形成联合信道编码机制,对其传输过程完成优化,结合编码空间优化,实现信号传输过程中的分级传输,降低信号传输过程中的误码率,有效减缓信道衰落因素对传输的削弱作用,实现5G信号的高效稳定传输。仿真结果表明,与UEP算法、BSC算法相比,所提算法具有更强的抗干扰性,其信号误码率更低,抗信道衰落性能更强。 To solve the defects such as difficultieson optimizing the coding of source information induced by not finishing dynamic error protection based on packet generation in current 5Gchannel coding algorithm,the 5G wireless networks joint channel coding based on distortion cumulative fragmentation was proposed.The minimum accumulated distortion group was constructed through sub-parent grouping generating method and considering the cumulative distortion of source and channel to effectively reduce the transmission error and optimize the signal transmission efficiency.The joint channel coding mechanism was formed by embedding the block coding into the channel coding process to optimize the transmission process,and the hierarchical transmission of signal transmission was realized by combining with the optimal coding space to reduce the bit error rate in the signal transmission,and weaken the fading effects of channel fading factor for realizing stable transmission of 5Gsignals.Simulation results show that this algorithm is more robust to interference,and has lower signal error rate as well as stronger anti fading performance compared with the traditional UEP algorithm and BSC algorithm.
出处 《计算机工程与设计》 北大核心 2017年第6期1452-1457,共6页 Computer Engineering and Design
基金 河南省信息技术研究基金项目(ITE12071)
关键词 5G无线网络 联合信道编码 失真累计 信道传输误差 分级传输 信道衰落 5G wireless network joint channel coding distortion accumulation channel transmission error hierarchical transmission channel fading
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  • 1邹艳,陆佩忠.关键方程的新推广[J].计算机学报,2006,29(5):711-718. 被引量:62
  • 2Tse D, Viswanath P. Fundamentals of wireless communication. New York, NY, USA: Cambridge University Press, 2005.
  • 3Wong D T, Kong P Y, Liang Y C, et al. Wireless broadband networks. Hoboken, NJ, USA: John Wiley & Sons, 2009.
  • 4Simon M K, Mohamed-Slim A. Digital communication over fading channels: a unified approach to performance analysis. Hoboken, NJ, USA: Wiley-lnterscience, 2005.
  • 5Sendonaris A, Erkip E, Aazhang B. User cooperation diversity. IEEE Transactions on Communications, 2003, 51(11): 1927-1948.
  • 6Laneman J N, Tse D N C, Womell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Transactions on Information Theory, 2004, 50(12): 3062-3080.
  • 7Ray Liu K J, Sadek A K, Su W, et al. Cooperative communications and networking. New York, NY, USA: Cambridge University Press, 2009.
  • 8Cover T M, E1 Gamal A A. Capacity theorems for the relay channel. IEEE Transactions on Information Theory, 1979, 25(5): 572-584.
  • 9Kramer G, Gastpar M, Gupta P. Cooperative strategies and capacity theorems for relay networks. IEEE Transactions on Information Theory, 2005, 51 (9): 3037-3069.
  • 10Ahlswede R, Cai N, Li S Y R, et al. Network information flow. IEEE Transactions on Information Theory, 2000, 46(4): 1204-1216.

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