The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System

FAN Feng-ju; ZHANG Jian-yong; SONG Yi-mei; HU Wei-guo; MI Shu-chao

doi:10.13756/j.gtxyj.2022.05.003

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The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System

更新时间：2023-01-29

- The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System
- Study on Optical Communications Issue 5, Pages: 12-17(2022)
- 作者机构：
  
  a.北京交通大学　光波技术研究所，北京　100044
  b.北京交通大学　EMC全光网络与高级电信网络重点实验室，北京　100044
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.05.003
  CLC： TN913.7
- Published：10 October 2022，
  
  Received：26 January 2022，
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FAN Feng-ju, ZHANG Jian-yong, SONG Yi-mei, et al. The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System. [J]. Study on Optical Communications (5):12-17(2022)
DOI：

FAN Feng-ju, ZHANG Jian-yong, SONG Yi-mei, et al. The Research of Massive Multiple Input Multiple Output Detection Algorithms in Optical Fiber Communication System. [J]. Study on Optical Communications (5):12-17(2022) DOI： 10.13756/j.gtxyj.2022.05.003.

摘要

针对多输入多输出（MIMO）检测算法在大规模模式数目的模分复用（MDM）光纤信道中用来补偿模式相关损耗（MDL）时，会出现计算复杂度过高、性能下降的问题，文章提出将大规模MIMO检测算法应用于光纤信道中。文章研究的算法有最小均方误差（MMSE）、共轭梯度（CG）、高斯-塞德尔（GS）、基于无穷范数的乘子交替方向（ADMIN）法和基于盒约束的优化坐标下降（OCDBOX）法。结果表明，在MDL受损的光通信系统中，OCDBOX算法表现出最好的误码率（BER）性能，但复杂度较高。而ADMIN检测算法具有次好的BER性能和较低的计算复杂度，因此在MDL受损的MDM系统中，ADMIN检测算法可以作为良好的候选方案。

Abstract

Multiple Input Multiple Output (MIMO) detection algorithm is used to compensate the Mode Dependent Loss (MDL) in Mode Division Multiplexing (MDM) optical fiber channel. The problem of MIMO detection algorithm is that the computational complexity is too high and the performance is degraded with a large number of modes. This paper proposes to apply Massive-MIMO detection algorithms to the fiber channel

The algorithms include Minimum Mean Square Error (MMSE)

Conjugate Gradient (CG)

Gauss Seidel (GS)

and Alternating Direction Method of multipliers based Infinity-Norm (ADMIN)

and Optimized Coordinate Descent based BOX constraint (OCDBOX) . The result shows that the OCDBOX has the best Bit Error Rate (BER) performance in MDL-impaired MDM optical fiber communication system while higher complexity. The ADMIN has the second best BER performance and lower computational complexity. Therefore

the ADMIN detection algorithm can represent a good candidate in the MDM system with MDL.

关键词

模分复用模式相关损耗大规模多输入多输出检测算法误码率性能

Keywords

MDMMDLmassive MIMO detection algorithmsBER performance

references

Choutagunta K, Arik S O, Ho K, et al. Characterizing Mode-dependent Loss and Gain in Multimode Components[J]. Journal of Lightwave Technology, 2018, 36(18): 3815-3823.

Sakaguchi J, Klaus W, Jose Manuel Delgado M, et al. Large Spatial Channel (36-core 3 mode) Heterogeneous Few-mode Multicore Fiber[J]. Journal of Lightwave Technology, 2016, 34(1): 93-103.

Sakaguchi J, Klaus W, Awaji Y, et al. 228-spatial-channel Bi-directional Data Communication System Enabled by 39-core 3-mode Fiber[J]. Journal of Lightwave Technology, 2019, 37(8): 1756-1763.

Hayashi T, Nagashima T, Yonezawa K, et al. Six-mode 19-core Fiber with 114 Spatial Modes for Weakly-coupled Mode-division-multiplexed Transmission[J]. Journal of Lightwave Technology, 2017, 35(4): 748-754.

Igarashi K, Tsuritani T, Morita I, et al. 114 Space-Division-multiplexed WDM Transmission Using 6-mode 19-core Fibers[C]//2015 IEEE Photonics Conference (IPC). Reston, VA, USA: IEEE, 2015: 643-644.

Soma D, Wakayama Y, Beppu S, et al. 10.16 peta-bit/s Dense SMD/WDM Transmission over Low-DMD 6-mode 19-core Fibre Across C+L Band[C]//2017 European Conference on Optical Communication (ECOC). Gothenburg, Sweden: IEEE, 2017: 1-3.

Antonelli C, Mecozzi A, Shtaif M, et al. Modeling and Performance Metrics of MIMO-SDM Systems with Different Amplification Schemes in the Presence of Mode-Dependent Loss[J]. Optics Express, 2015, 23(3): 2203-2219.

Bai N, Li G. Adaptive Frequency-domain Equalization for Mode-division Multiplexed Transmission[J]. IEEE Photonics Technology Letters, 2012, 24(21): 1918-1921.

Arik S O, Kahn J M, Ho K. MIMO Signal Processing for Mode-division Multiplexing: An Overview of Channel Models and Signal Processing Architectures[J]. IEEE Signal Processing Magazine, 2014, 31(2): 25-34.

Lobato A, Ferreira F, Inan B, et al. Maximum Likelihood Detection in Few-mode Fiber Transmission with Mode-dependent Loss[J]. IEEE Photonics Technology Letters, 2013, 25(12): 1095-1098.

Lobato A, Rabe J, Ferreira F, et al. Near-ML Detection for MDL-impaired Few-mode Fiber Transmission[J]. Optics Express, 2015, 23(8): 9589-9601.

Cao Z G, Miao L, Wang S K, et al. Soft-decision Aided Probabilistic Data Association based Detection for Mode Division Multiplexing Transmission with Mode-dependent Loss[J]. IEEE Access, 2019, 7: 172744-172751.

Yang S, Hanzo L. Fifty Years of MIMO Detection: the Road to Large-scale MIMOs[J]. IEEE Communications Surveys Tutorials, 2015, 17(4): 1941-1988.

Albreem M A, Juntti M, Shahabuddin S. Massive MIMO Detection Techniques: A Survey[J]. IEEE Communications Surveys Tutorials, 2019, 21(4): 3109-3132.

Uddin M B, Sarkar M Z I, Faisal K N, et al. Performance Analysis of Nakagami-m Fading Massive MIMO Channels with Linear Receivers[C]// 2014 17th International Conference on Computer and Information Technology (ICCIT). Dhaka, Bangladesh: IEEE, 2014: 510-513.

Wu M, Yin B, Vosoughi A, et al. Approximate Matrix Inversion for High-throughput Data Detection in The Large-scale MIMO Uplink[C]//2013 IEEE International Symposium on Circuits and Systems (ISCAS). Beijing, China: IEEE, 2013: 2155-2158.

Jin J, Xue Y, Ueng Y, et al. A Split Preconditioned Conjugate Gradient Method for Massive MIMO Detection[C]//2017 IEEE International Workshop on Signal Processing Systems (SiPS). Lorient, France: IEEE, 2017: 1-6.

Dai L, Gao X, Su X, et al. Low-Complexity Soft Output Signal Detection based on Gauss-seidel Method for Uplink Multiuser Large-scale MIMO Systems[J]. IEEE Transactions on Vehicular Technology, 2015, 64(10): 4839-4845.

Thrampoulidis C, Abbasi E, Xu W, et al. BER Analysis of the BOX Relaxation for BPSK Signal Recovery[C]//2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Shanghai, China: IEEE, 2016: 3776-3780.

Thrampoulidis C, Xu W, Hassibi B. Symbol Error Rate Performance of BOX-relaxation Decoders in Massive MIMO[J]. IEEE Transactions on Signal Processing, 2018, 66(13): 3377-3392.

Wu M, Dick C, Cavallaro J R, et al. High-throughput Data Detection for Massive MU-MIMO OFDM Using Coordinate Descent[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2016, 63(12): 2357-2367.

Shahabuddin S, Juntti M, Studer C. ADMM-based Infinity Norm Detection for Large MU-MIMO: Algorithm and VLSI Architecture[C]//2017 IEEE International Symposium on Circuits and Systems (ISCAS). Baltimore, MD, USA: IEEE, 2017: 1-4.

Chaudhary M, Meena N K, Kshetrimayum R S. Local Search based Near Optimal Low Complexity Detection for Large MIMO System[C]//2016 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). Bangalore, India: IEEE, 2016: 1-5.

Fukuda W, Abiko T, Nishimura T, et al. Low-Complexity Detection based on Belief Propagation in a Massive MIMO System[C]//International Symposium on Intelligent Signal Processing and Communications Systems. Dresden, Germany: IEEE, 2013: 1-5.

Tanchuk O, Rao B. Exploiting Sparsity during the Detection of High-order QAM Signals in Large Dimension MIMO Systems[C]//2014 48th Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA: IEEE, 2014: 101-105.

Ho K P, Kahn J M. Mode-Dependent Loss and Gain: Statistics and Effect on Mode-Division Multiplexing[J]. Optics Express, 2011, 19(17): 16612-16635.

Ho K. Exact Model for Mode-Dependent Gains and Losses in Multimode Fiber[J]. Journal of Lightwave Technology, 2012, 30(23): 3603-3609.

Arik S O, Kahn J M. Adaptive MIMO Signal Processing in Mode-division Multiplexing[C]//2014 IEEE Photonics Society Summer Topical Meeting Series. Montreal, QC, Canada: IEEE, 2014: 192-193.

Antonelli C, Mecozzi A, Shtaif M, et al. Stokes-Space Analysis of Modal Dispersion of SDM Fibers with Mode-Dependent Loss: Theory and Experiments[J]. Journal of Lightwave Technology, 2020, 38(7): 1668-1677.

Puttnam B J, Rademacher G, Luís R S. Space-division Multiplexing for Optical Fiber Communications[J]. Optica, 2021, 8(9): 1186-1203.

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School of Computer and Communication, Lanzhou University of Technology

Institute of Ligntwave Technology, School of Electronic and Information Engineering, Beijing Jiaotong University

State Key Laboratory of Advanced Optical Communication Systems and Networks,Peking University

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