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International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Research Article

Analysis of MMSE Multiuser Detector in a Low-density Parity Check Coded Large Scale MIMO OFDM

Author(s): Shefin Shoukath* and P. Abdul Haris

Volume 13, Issue 4, 2023

Published on: 18 August, 2023

Page: [237 - 245] Pages: 9

DOI: 10.2174/2210327913666230727095458

Price: $65

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Abstract

Background: Large-scale MIMO OFDM technique satisfies the demands on performance and the service quality preferred in wireless communication systems. Since numerous antenna terminals have been incorporated in the base station, multiuser detection is crucial for retrieving the data appropriately. Thus, the complexities of the detectors increase rapidly in large-scale MIMO OFDM schemes.

Objective: This work is a solution to achieve an extensively high rate of data transmission, which will help improve the capacity of the LS MIMO OFDM system.

Methods: A unique detection approach of multiuser detection in LS MIMO OFDM model with channel coding, like Low Density Parity Check Codes (LDPC), is suggested in this paper. The LDPCcoded large-scale MIMO OFDM system has also been analysed in the study with users of around ten at the transmitter and several antennas in the base station.

Results: BER of the LDPC-coded LS MIMO OFDM exhibited a waterfall region for SNR greater than 6dB as the study has been done with different decoding iterations. The BER performance worsened with the increase in modulation symbols. The study has shown how the BER performance has improved with respect to the increasing fading channels and subcarriers.

Conclusion: The proposed system exhibited performance closer to the MIMO capacity with low complexity MMSE detection. The multiuser detector of LDPC-coded LS MIMO OFDM has been analysed by error rate in received bits (BER) with respect to different parameters, such as modulation orders, iteration values, receiving antennas, and OFDM subcarriers.

Graphical Abstract

[1]
Albreem MA, Juntti M, Shahabuddin S. Massive MIMO detection techniques: A survey. IEEE Commun Surv Tutor 2019; 21(4): 3109-32.
[http://dx.doi.org/10.1109/COMST.2019.2935810]
[2]
Hoydis J, ten Brink S, Debbah M. Massive MIMO in the UL/DL of cellular networks: How many antennas do we need? IEEE J Sel Areas Comm 2013; 31(2): 160-71.
[http://dx.doi.org/10.1109/JSAC.2013.130205]
[3]
Andrews JG, Buzzi S, Choi W, et al. What will 5G be? IEEE J Sel Areas Comm 2014; 32(6): 1065-82.
[http://dx.doi.org/10.1109/JSAC.2014.2328098]
[4]
Yang S, Hanzo L. Fifty years of MIMO detection: The road to large-scale MIMOs. IEEE Commun Surv Tutor 2015; 17(4): 1941-88.
[http://dx.doi.org/10.1109/COMST.2015.2475242]
[5]
Alshamary HAJ. Coherent and non-coherent data detection algorithms in massive MIMO. The University of Iowa 2017.
[http://dx.doi.org/10.17077/etd.ga7kqgif]
[6]
Aminjavaheri A, Farhang A, Rezazadeh RA, Farhang-Boroujeny B. Impact of timing and frequency offsets on multicarrier waveform candidates for 5G. 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE). 178-83.
[http://dx.doi.org/10.1109/DSP-SPE.2015.7369549]
[7]
Bagadi KP, Das S. Multiuser detection in SDMA–OFDM wireless communication system using complex multilayer perceptron neural network. Wirel Pers Commun 2014; 77(1): 21-39.
[http://dx.doi.org/10.1007/s11277-013-1492-2]
[8]
Björnson E, Larsson EG, Marzetta TL. Massive MIMO: Ten myths and one critical question. IEEE Commun Mag 2016; 54(2): 114-23.
[http://dx.doi.org/10.1109/MCOM.2016.7402270]
[9]
Chataut R, Akl R. Massive MIMO systems for 5G and beyond networks—overview, recent trends, challenges, and future research direction. Sensors 2020; 20(10): 2753.
[http://dx.doi.org/10.3390/s20102753] [PMID: 32408531]
[10]
Rusek F, Persson D, Larsson EG, et al. Scaling up MIMO: Opportunities and challenges with very large arrays. IEEE Signal Process Mag 2013; 30(1): 40-60.
[http://dx.doi.org/10.1109/MSP.2011.2178495]
[11]
El Chall R, Nouvel F, Hélard M, Liu M. Performance and complexity evaluation of iterative receiver for coded MIMO-OFDM systems. Mob Inf Syst 2016; 2016: 7642590.
[http://dx.doi.org/10.1155/2016/7642590]
[12]
Fan W, Carton I, Kyosti P, et al. A Step Toward 5G in 2020: Low-cost OTA performance evaluation of massive MIMO base stations. IEEE Antennas Propag Mag 2017; 59(1): 38-47.
[http://dx.doi.org/10.1109/MAP.2016.2630020]
[13]
Jiang M, Hanzo L. Multiuser MIMO-OFDM for next-generation wireless systems. Proc IEEE 2007; 95(7): 1430-69.
[http://dx.doi.org/10.1109/JPROC.2007.898869]
[14]
Zheng K, Zhao L, Mei J, Shao B, Xiang W, Hanzo L. Survey of large-scale MIMO systems. IEEE Commun Surv Tutor 2015; 17(3): 1738-60.
[http://dx.doi.org/10.1109/COMST.2015.2425294]
[15]
Larsson EG, Edfors O, Tufvesson F, Marzetta TL. Massive MIMO for next generation wireless systems. IEEE Commun Mag 2014; 52(2): 186-95.
[http://dx.doi.org/10.1109/MCOM.2014.6736761]
[16]
Marzetta TL. Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans Wirel Commun 2010; 9(11): 3590-600.
[http://dx.doi.org/10.1109/TWC.2010.092810.091092]
[17]
Kou Y, Lin S, Fossorier MPC. Low-density parity-check codes based on finite geometries: a rediscovery and new results. IEEE Trans Inf Theory 2001; 47(7): 2711-36.
[http://dx.doi.org/10.1109/18.959255]
[18]
Goldsmith A. Wireless communications. Cambridge University Press 2005.
[http://dx.doi.org/10.1017/CBO9780511841224]
[19]
Ohtsuki T. LDPC codes in communications and broadcasting. IEICE Trans Commun 2007; E90-B(3): 440-53.
[http://dx.doi.org/10.1093/ietcom/e90-b.3.440]
[20]
Cho YS, Kim J, Yang WY, Kang CG. MIMO-OFDM wireless communications with MATLAB. John Wiley & Sons 2010.
[http://dx.doi.org/10.1002/9780470825631]
[21]
Richardson TJ, Urbanke RL. The capacity of low-density parity-check codes under message-passing decoding. IEEE Trans Inf Theory 2001; 47(2): 599-618.
[http://dx.doi.org/10.1109/18.910577]
[22]
Shokrollahi A. LDPC codes: An introduction. Digital Fountain, Inc. Tech Rep 2003; 2: 17.
[23]
Hameed AA, Sileh IK. Coded MIMO-OFDM Using LDPC Code over Fading Channels. Solid State Technol 2020; 63(1s): 1473-86.
[24]
Park HJ, Lee JW. LDPC coded multi-user massive MIMO systems with low-complexity detection. IEEE Access 2022; 10: 25296-308.
[http://dx.doi.org/10.1109/ACCESS.2022.3156285]
[25]
Gallager RG. Low-Density Parity-Check Codes. Cambridge, MA: MIT Press 1963.
[http://dx.doi.org/10.7551/mitpress/4347.001.0001]
[26]
Tanner RM, Sridhara D, Sridharan A, Fuja TE, Costello DJ. LDPC block and convolutional codes based on circulant matrices. IEEE Trans Inf Theory 2004; 50(12): 2966-84.
[http://dx.doi.org/10.1109/TIT.2004.838370]
[27]
Fossorier MPC, Mihaljevic M, Imai H. Reduced complexity iterative decoding of low-density parity check codes based on belief propagation. IEEE Trans Commun 1999; 47(5): 673-80.
[http://dx.doi.org/10.1109/26.768759]
[28]
Narasimhan TL, Chockalingam A. Detection and decoding in large-scale MIMO systems: A non-binary belief propagation approach. 2014 IEEE 79th Vehicular Technology Conference (VTC Spring). 1-5.
[http://dx.doi.org/10.1109/VTCSpring.2014.7022876]
[29]
Tanner R. A recursive approach to low complexity codes. IEEE Trans Inf Theory 1981; 27(5): 533-47.
[http://dx.doi.org/10.1109/TIT.1981.1056404]
[30]
Youssef AA, Abdelhamid B, El-Ramly SH, Elattar HM, Ali HH. LDPC decoding algorithms for implant to implant wireless body area network. IEEE Access 2018; 6(13200): 12.
[http://dx.doi.org/10.1109/ACCESS.2018.2810293]
[31]
Gore D, Paulraj A, Nabar R. Introduction to Space-Time Wireless Communication. Cambridge University Press 2004.
[32]
Hannak G, Mayer M, Jung A, Matz G, Goertz N. Joint channel estimation and activity detection for multiuser communication systems. 2015 IEEE International Conference on Communication Workshop (ICCW). 2086-91.
[http://dx.doi.org/10.1109/ICCW.2015.7247489]
[33]
Minango J, Flores AC. Low-complexity MMSE detector based on refinement Jacobi method for massive MIMO uplink. Phys Commun 2018; 26: 128-33.
[http://dx.doi.org/10.1016/j.phycom.2017.12.005]
[34]
Fliege NJ. Orthogonal multiple carrier data transmission. Eur Trans Telecommun 1992; 3(3): 255-64.
[http://dx.doi.org/10.1002/ett.4460030307]
[35]
Lu L, Li GY, Swindlehurst AL, Ashikhmin A, Zhang R. An overview of massive MIMO: Benefits and challenges. IEEE J Sel Top Signal Process 2014; 8(5): 742-58.
[http://dx.doi.org/10.1109/JSTSP.2014.2317671]
[36]
Jamsa T, Meinila J, Kyosti P, et al. Overview of Winner channel modelling activities. 15th WWRF meeting. Paris-France. 2005; p. 96.
[37]
Kyosti P. WINNER II interim channel models IST-WINNER II D 1. 2006.

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