[1]李正权,沈连丰,吴名,等.基于大规模MIMO系统的满分集VBLAST低复杂度译码算法[J].东南大学学报(自然科学版),2016,46(5):905-911.[doi:10.3969/j.issn.1001-0505.2016.05.001]
 Li Zhengquan,Shen Lianfeng,Wu Ming,et al.Decoding algorithm with low complexity for rate one VBLAST with full diversity based on massive MIMO system[J].Journal of Southeast University (Natural Science Edition),2016,46(5):905-911.[doi:10.3969/j.issn.1001-0505.2016.05.001]
点击复制

基于大规模MIMO系统的满分集VBLAST低复杂度译码算法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
46
期数:
2016年第5期
页码:
905-911
栏目:
信息与通信工程
出版日期:
2016-09-20

文章信息/Info

Title:
Decoding algorithm with low complexity for rate one VBLAST with full diversity based on massive MIMO system
作者:
李正权1沈连丰1吴名1王志功2贾子彦1宋铁成1
1东南大学移动通信国家重点实验室, 南京 210096; 2东南大学射频与光电集成电路研究所, 南京 210096
Author(s):
Li Zhengquan1 Shen Lianfeng1 Wu Ming1 Wang Zhigong2 Jia Ziyan1 Song Tiecheng1
1National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
2Institute of RF- & OE-ICs, Southeast University, Nanjing 210096, China
关键词:
大规模MIMO系统 VBLAST 误比特率 信噪比
Keywords:
massive multiple-input multiple-output(MIMO)system vertical bell laboratories layered space time(VBLAST) bit error rate(BER) signal-to-noise ratio(SNR)
分类号:
TN911.7
DOI:
10.3969/j.issn.1001-0505.2016.05.001
摘要:
为了提高大规模MIMO系统的分集增益、降低译码复杂度,构建了一种码率为1的满分集贝尔实验室垂直分层空时码,并采用最大比合并算法(MRC)检测接收信号.分别计算了MRC算法的平均输出信干噪比(SINR)和传统迫零算法(ZF)的平均信噪比(SNR),分析了性能相等时应满足的条件,并且比较了2种算法的计算复杂度和BER性能.结果表明,当BER=10-5,收发天线数为400和40、调制方式分别为BPSK和QPSK时,最大比合并算法的BER性能较迫零算法分别存在0.4和0.3 dB的增益.采用所提算法对接收信号进行检测,不但能够降低系统的计算复杂度,而且能保证系统的误比特率性能.
Abstract:
To improve the diversity gain of the massive multiple-input multiple-output(MIMO)system and reduce the decoding complexity, a kind of rate one vertical bell laboratories layered space time(VBLAST)code with full diversity is designed, and the received signals are detected by a low complexity algorithm, named maximum ratio combining(MRC)algorithm. The average output signal-to-interference-noise ratio(SINR)of this algorithm and the average output signal-to-noise ratio(SNR)of the traditional zero-forcing(ZF)algorithm are calculated, respectively. The conditions of equal performance are analyzed. The computational complexity and the bit error rate performance of these two algorithms are compared. The results show that the MRC algorithm can provide a gain of 0.4 and 0.3 dB than the ZF algorithm when the bit error rate(BER)is 10-5 and the numbers of the transmit antennas are 400 and 40 for binary-phase shift keying(BPSK)and quadrature-phase shift keying(QPSK), respectively. The MRC algorithm can decrease the computational complexity and ensure the bit error rate performance in the massive MIMO system.

参考文献/References:

[1] Rusek F, Persson D, Lau B K, et al. Scaling up MIMO: Opportunities and challenges with very large arrays [J]. IEEE Signal Process Magazine, 2013, 30(1): 40-60. DOI:10.1109/MSP.2011.2178495.
[2] Sinha N B, Bera R, Mitra M. MIMO detection algorithms for high data rate wireless transmission [J]. Journal of Computer Science and Engineering, 2010, 1(1): 91-98.
[3] Jiang Y, Varanasi M K, Li J. Performance analysis of ZF and MMSE equalizers for MIMO systems: An in-depth study of the high SNR regime [J]. IEEE Transactions on Information Theory, 2011, 57(4): 2008—2026. DOI:10.1109/tit.2011.2112070.
[4] Suthisopapan P, Kasai K, Imtawil V, et al. Approaching capacity of large MIMO systems by non-binary LDPC codes and MMSE detection [C]//IEEE International Symposium on Information Theory. Cambridge, Massachusetts, USA, 2012: 1712-1716.
[5] Basnayaka D A, Smith P J, Martin P A. Performance analysis of macrodiversity MIMO systems with MMSE and ZF receivers in flat Rayleigh fading [J]. IEEE Transactions on Wireless Communications, 2013, 12(5): 2240-2251. DOI:10.1109/twc.2013.032113.120798.
[6] Ngo H Q, Suraweera H A, Matthaiou M, et al. Multipair full-duplex relaying with massive arrays and linear processing [J]. IEEE Journal on Selected Areas in Communications, 2014, 32(9): 1721-1737. DOI:10.1109/jsac.2014.2330091.
[7] Khansefid A, Minn H. Performance bounds for massive MIMO uplink [C]//2014 IEEE Global Conference on Signal and Information Processing(GlobalSIP). Atlanta, GA, USA, 2014:632-636. DOI:10.1109/globalsip.2014.7032194.
[8] Pitarokoilis A, Mohammed S K, Larsson E G. Uplink performance of time-reversal MRC in massive MIMO systems subject to phase noise [J]. IEEE Transactions on Wireless Communications, 2013, 14(2): 711-723.
[9] 范利,金石. 低复杂度大规模MIMO系统上行功率分配算法 [J]. 东南大学学报(自然科学版),2016,46(1): 7-12. DOI:10.3969/j.issn.1001-0505.2016.01.002.
  Fan Li, Jin Shi. Low complexity power allocation algorithms for uplink of massive MIMO systems[J]. Journal of Southeast University(Natural Science Edition), 2016, 46(1): 7-12. DOI:10.3969/j.issn.1001-0505.2016.01.002.(in Chinese)
[10] Alnajjar K A, Smith P J, Woodward G K. Low complexity V-BLAST for massive MIMO [C]//2014 Australian Communications Theory Workshop(AusCTW). Sydney, Australia, 2014: 22-26. DOI:10.1109/ausctw.2014.6766422.
[11] Alnajjar K A, Smith P J, Woodward G K. Low complexity V-BLAST for massive MIMO with adaptive modulation and power control [C]//2015 International Conference on Information and Communication Technology Research(ICTRC). Abu, Dhabi United Arab Emirates, 2015: 1-4. DOI:10.1109/ictrc.2015.7156406.
[12] 哈米德·贾法哈尼. 空时编码的理论与实践[M]. 任品毅,译. 西安:西安交通大学出版社, 2007: 38-41.
[13] Basnayaka D A, Smith P J, Martin P A. Ergodic sum capacity of macrodiversity MIMO systems in flat Rayleigh fading [J]. IEEE Transactions on Information Theory, 2013, 59(9): 5257-5270. DOI:10.1109/tit.2013.2264503.
[14] Hunger R. Floating point operations in matrix-vector calculus [R]. Munich, Germany:Munich University of Technology, 2007.
[15] Narasimhan T L. Channel hardening-exploiting message passing(CHEMP)receiver in large-scale MIMO systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 847-860.

备注/Memo

备注/Memo:
收稿日期: 2016-02-28.
作者简介: 李正权(1976—),男,博士,研究员;沈连丰(联系人),男,教授,博士生导师,lfshen@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(61271207, 61372104,61571108 )、中国博士后科学基金资助项目(2012M511175)、东南大学移动通信国家重点实验室开放课题资助项目(2011D18)、国家电网公司科学技术资助项目(SGRIXTKJ[2015]349号).
引用本文: 李正权,沈连丰,吴名,等.基于大规模MIMO系统的满分集VBLAST低复杂度译码算法[J].东南大学学报(自然科学版),2016,46(5):905-911. DOI:10.3969/j.issn.1001-0505.2016.05.001.
更新日期/Last Update: 2016-09-20