高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

一种基于嵌套晶格码的MIMO中继多用户矢量预编码设计

姜华 焦军彩 都思丹

姜华, 焦军彩, 都思丹. 一种基于嵌套晶格码的MIMO中继多用户矢量预编码设计[J]. 电子与信息学报, 2022, 44(10): 3485-3491. doi: 10.11999/JEIT210729
引用本文: 姜华, 焦军彩, 都思丹. 一种基于嵌套晶格码的MIMO中继多用户矢量预编码设计[J]. 电子与信息学报, 2022, 44(10): 3485-3491. doi: 10.11999/JEIT210729
JIANG Hua, JIAO Juncai, DU Sidan. Vector Precoding Design Based on Nested-lattice-coding for MU-MIMO Relay Systems[J]. Journal of Electronics & Information Technology, 2022, 44(10): 3485-3491. doi: 10.11999/JEIT210729
Citation: JIANG Hua, JIAO Juncai, DU Sidan. Vector Precoding Design Based on Nested-lattice-coding for MU-MIMO Relay Systems[J]. Journal of Electronics & Information Technology, 2022, 44(10): 3485-3491. doi: 10.11999/JEIT210729

一种基于嵌套晶格码的MIMO中继多用户矢量预编码设计

doi: 10.11999/JEIT210729
基金项目: 国家自然科学基金(61702259),江苏省高校自然科学研究面上项目(17KJB510024)
详细信息
    作者简介:

    姜华:男,博士后,研究方向为大规模MIMO通信、无线通信中的信号处理、机器学习等

    焦军彩:女,副教授,研究方向为信号处理、机器学习等

    都思丹:女,博士,教授,博士生导师,主要研究方向为无线通信传输技术

    通讯作者:

    姜华 hua@nju.edu.cn

  • 中图分类号: TN919.3

Vector Precoding Design Based on Nested-lattice-coding for MU-MIMO Relay Systems

Funds: The National Natural Science Foundation of China(61702259), The Natural Science Foundation of the Jiangsu Higher Education Institutions of China (17KJB510024)
  • 摘要: 针对多输入多输出(MIMO)中继多用户系统的多址传输问题,为了提高系统可达速率和误码率性能,该文利用嵌套晶格码具有可达加性高斯白噪声信道容量的特性,设计一种基站和中继联合预编码的方法。基站端的嵌套晶格码结合矢量扰动(VP)预编码,以控制发送信号的功率。由于矢量扰动预编码和嵌套晶格码都存在相同的模运算步骤,因此在中继端的模运算抑制噪声功率的同时消除了冗余矢量。接着实现中继联合迫整数预编码方法,这种基站/中继混合预编码技术能够控制等效噪声功率,实现对蜂窝用户的有效信号传输。更进一步地,在给出整系数矩阵和扰动矢量矩阵的计算方法后,以最大化系统可达速率为目标对基站和中继的功率实现最优分配。实验结果表明,该方案在可达速率和误码性能方面优于现有方案。
  • 图  1  系统模型

    图  2  嵌套网格

    图  3  基站嵌套格码及矢量预编码处理

    图  4  中继端模运算和转发

    图  5  不同预编码方案的发射总功率与系统和速率的关系

    图  6  不同预编码方案的发射总功率与系统误码率的关系

  • [1] BASHAR F and ABOUTORAB N. Outage probability of spatially diverse multi-source multi-relay multi-user two-hop relay networks[C]. IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020: 1–6.
    [2] 李高祥, 杨霖, 林旭彬. 基于能量收集的多对双向MIMO AF中继系统的和速率分析[J]. 电子学报, 2019, 47(3): 531–537. doi: 10.3969/j.issn.0372-2112.2019.03.003

    LI Gaoxiang, YANG Lin, and LIN Xubin. Sum rate analysis of multi-pair two-way MIMO AF relay system based on energy harvesting[J]. Acta Electronica Sinica, 2019, 47(3): 531–537. doi: 10.3969/j.issn.0372-2112.2019.03.003
    [3] 王进, 束锋, 尤肖虎, 等. 基于OFDM多用户对双向中继宽带无线网络空频信道配对与功率分配[J]. 中国科学:信息科学, 2015, 45(7): 878–888. doi: 10.1360/N112014-00280

    WANG Jin, SHU Feng, YOU Xiaohu, et al. Space-frequency channel pairing and power allocation for OFDM-based multi-pair two-way relay wireless networks[J]. Scientia Sinica Informationis, 2015, 45(7): 878–888. doi: 10.1360/N112014-00280
    [4] 王毅, 林艳, 黄永明, 等. 基于成对用户大规模MIMO两跳中继系统的最优能效设计[J]. 电子与信息学报, 2017, 39(1): 1–8. doi: 10.11999/JEIT160245

    WANG Yi, LIN Yan, HUANG Yongming, et al. Optimal energy-efficient design for two-hop massive MIMO relaying systems with multi-pair users[J]. Journal of Electronics &Information Technology, 2017, 39(1): 1–8. doi: 10.11999/JEIT160245
    [5] VENTURELLI R B and SILVA D. Optimization of integer-forcing precoding for multi-user MIMO downlink[J]. IEEE Wireless Communications Letters, 2020, 9(11): 1860–1864. doi: 10.1109/LWC.2020.3006393
    [6] 雷维嘉, 周洋, 谢显中, 等. MIMO全双工双向安全通信系统的预编码矩阵设计[J]. 通信学报, 2020, 41(10): 156–171. doi: 10.11959/j.issn.1000-436x.2020155

    LEI Weijia, ZHOU Yang, XIE Xianzhong, et al. Design of precoding matrices in MIMO full duplex two-way security communication system[J]. Journal on Communications, 2020, 41(10): 156–171. doi: 10.11959/j.issn.1000-436x.2020155
    [7] JIANG Hua, CHENG Hao, SHEN Lizhen, et al. Joint lattice-reduction-aided precoder design for multiuser MIMO relay system[J]. KSII Transactions on Internet and Information Systems, 2016, 10(7): 3010–3025. doi: 10.3837/tiis.2016.07.008
    [8] GOPAL L, RONG Yue, and ZANG Zhuquan. Joint MMSE transceiver design in non-regenerative MIMO relay systems with covariance feedback[C]. The 17th Asia-Pacific Conference on Communications, Kota Kinabalu, Malaysia, 2011: 290–294.
    [9] CAI Yunlong, DE LAMARE R C, YANG Lieliang, et al. Robust MMSE precoding based on switched relaying and side information for multiuser MIMO relay systems[J]. IEEE Transactions on Vehicular Technology, 2015, 64(12): 5677–5687. doi: 10.1109/TVT.2014.2383388
    [10] PHUYAL U, JHA S C, and BHARGAVA V K. Joint zero-forcing based precoder design for QoS-aware power allocation in MIMO cooperative cellular network[J]. IEEE Journal on Selected Areas in Communications, 2012, 30(2): 350–358. doi: 10.1109/JSAC.2012.120214
    [11] CHAE C B, TANG Taiwen, HEATH R W, et al. MIMO relaying with linear processing for multiuser transmission in fixed relay networks[J]. IEEE Transactions on Signal Processing, 2008, 56(2): 727–738. doi: 10.1109/TSP.2007.907821
    [12] LIU Ling, YAN Yanfei, LING Cong, et al. Construction of capacity-achieving lattice codes: Polar lattices[J]. IEEE Transactions on Communications, 2019, 67(2): 915–928. doi: 10.1109/TCOMM.2018.2876113
    [13] KURKOSKI B M. Encoding and indexing of lattice codes[J]. IEEE Transactions on Information Theory, 2018, 64(9): 6320–6332. doi: 10.1109/TIT.2018.2839181
    [14] NAZER B and GASTPAR M. Compute-and-forward: Harnessing interference through structured codes[J]. IEEE Transactions on Information Theory, 2011, 57(10): 6463–6486. doi: 10.1109/TIT.2011.2165816
    [15] LIM S H, FENG Chen, PASTORE A, et al. Compute-forward for DMCs: Simultaneous decoding of multiple combinations[J]. IEEE Transactions on Information Theory, 2020, 66(10): 6242–6255. doi: 10.1109/TIT.2020.3009634
    [16] CHENG Hai, YUAN Xiaojun, and TAN Yihua. Generalized compute-compress-and-forward[J]. IEEE Transactions on Information Theory, 2019, 65(1): 462–481. doi: 10.1109/TIT.2018.2864638
    [17] TAN Yihua and YUAN Xiaojun. Compute-compress-and-forward: Exploiting asymmetry of wireless relay networks[J]. IEEE Transactions on Signal Processing, 2016, 64(2): 511–524. doi: 10.1109/TSP.2015.2481876
    [18] HUANG Y C, NARAYANAN K R, and WANG P C. Lattices over algebraic integers with an application to compute-and-forward[J]. IEEE Transactions on Information Theory, 2018, 64(10): 6863–6877. doi: 10.1109/TIT.2018.2848277
    [19] SILVA D, PIVARO G, FRAIDENRAICH G, et al. On integer-forcing precoding for the Gaussian MIMO broadcast channel[J]. IEEE Transactions on Wireless Communications, 2017, 16(7): 4476–4488. doi: 10.1109/TWC.2017.2699178
    [20] GAN Y H, LING Cong, and MOW W H. Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection[J]. IEEE Transactions on Signal Processing, 2009, 57(7): 2701–2710. doi: 10.1109/TSP.2009.2016267
    [21] SAHRAEI S and GASTPAR M. Polynomially solvable instances of the shortest and closest vector problems with applications to compute-and-forward[J]. IEEE Transactions on Information Theory, 2017, 63(12): 7780–7792. doi: 10.1109/TIT.2017.2759281
    [22] WEN Jinming, ZHOU Baojian, MOW W H, et al. Compute-and-forward protocol design based on improved sphere decoding[C]. IEEE International Conference on Communications (ICC), London, UK, 2015: 1631–1636.
    [23] SAKZAD A, HARSHAN J, and VITERBO E. Integer-forcing MIMO linear receivers based on lattice reduction[J]. IEEE Transactions on Wireless Communications, 2013, 12(10): 4905–4915. doi: 10.1109/TWC.2013.090513.121465
    [24] BOYD S and VANDENBERGHE L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
  • 加载中
图(6)
计量
  • 文章访问数:  497
  • HTML全文浏览量:  270
  • PDF下载量:  72
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-07-19
  • 修回日期:  2022-01-17
  • 录用日期:  2022-02-15
  • 网络出版日期:  2022-02-18
  • 刊出日期:  2022-10-19

目录

    /

    返回文章
    返回