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JACIII Vol.28 No.4 pp. 829-834
doi: 10.20965/jaciii.2024.p0829
(2024)

Research Paper:

Analysis of Capacity of the Improved Space-Time Block Code Based on MIMO System

Zhongbao Wang*, Jinliang Gu** ORCID Icon, Xingxing Wang***, Weihua Zhu*,†, and Zhijun Teng**

*Jilin Technology College of Electronic Information
No. 65 Hanyang Street, Longtan District, Jilin City, Jilin Province 132022, China

Corresponding author

**School of Electrical Engineering, Northeast Dianli University
No.169 Changchun Road, Chuanying District, Jilin City, Jilin Province 132012, China

***Modern Automobile R&D Center, Development Zone
500 Changjiang Road, Fushan District, Yantai City, Shandong Province 264000, China

Received:
March 27, 2023
Accepted:
February 27, 2024
Published:
July 20, 2024
Keywords:
MIMO, quasi-orthogonal code, SNR, capacity
Abstract

The anti-intereference ability can be strengthened and the BER can be decreased when space-time block code (STBC) is applied to MIMO systems. The existing quasi-orthogonal code TBH can effectively improve the system capacity, but the effect is not good at high signal-to-noise ratio (SNR). In this paper, we introduce an improved quasi-orthogonal code, derive system capacity formula not with space-time coding but with TBH and improved quasi-orthogonal STBC, and simulate the relationship curve of the SNR and capacity in these systems based on MATLAB. The simulation shows that the system capacity with the improved code is bad in low SNR, but much better than that of the existed code with the increasing SNR, and the advantage on increasing capacity is outstanding, especially when the SNR is high.

Cite this article as:
Z. Wang, J. Gu, X. Wang, W. Zhu, and Z. Teng, “Analysis of Capacity of the Improved Space-Time Block Code Based on MIMO System,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.4, pp. 829-834, 2024.
Data files:
References
  1. [1] J.-L. Yu, C.-H. Wu, and M.-F. Lee, “MC-CDMA MIMO Systems with Quasi-Orthogonal Space-Time Block Codes: Channel Estimation and Multiuser Detection,” Communication Systems, Vol.25, Issue 3, pp. 294-313, 2012. https://doi.org/10.1002/dac.1241
  2. [2] S. H. Chae, I. Bang, and H. Lee, “Physical Layer Security of QSTBC with Power Scaling in MIMO Wiretap Channels,” IEEE Trans. on Vehicular Technology, Vol.69, No.5, pp. 5647-5651, 2020. https://doi.org/10.1109/TVT.2020.2978412
  3. [3] M. R. G. Aghdam, B. M. Tazehkand, R. Abdolee, and M. M. Feghhi, “Space-Time Block Coding in Millimeter Wave Large-Scale MIMO-NOMA Transmission Scheme,” Int. J. of Communication Systems, Vol.33, Issue 9, pp. 68-74, 2020. https://doi.org/10.1002/dac.4392
  4. [4] M. Chen, H. Lu, D. Chen, J. Jin, and J. Wang, “An Efficient MIMO–OFDM VLC System of Combining Space Time Block Coding with Orthogonal Circulant Matrix Transform Precoding,” Optics Communications, Vol.437, No.15, Article No.125993, 2020. https://doi.org/10.1016/j.optcom.2020.125993
  5. [5] X. Meng, X. Xia, and X. Gao, “Omnidirectional Space-Time Block Coding for Common Information Broadcasting in Massive MIMO Systems,” IEEE Trans. on Wireless Communications, Vol.17, No.3, pp. 1407-1417, 2018. https://doi.org/10.1109/TWC.2016.2622259
  6. [6] C. Liu, X.-G. Xia, Y. Li, X. Gao, and H. Zhang, “Omnidirectional Quasi-Orthogonal Space-Time Block Coded Massive MIMO Systems,” IEEE Communications Letters, Vol.23, Issue 9, pp. 1621-1625, 2019. https://doi.org/10.1109/LCOMM.2019.2923220
  7. [7] X. Liu and D. Qiao, “Space-Time Block Coding-Based Beamforming for Beam Squint Compensation,” IEEE Wireless Communications Letters, Vol.8, Issue 1, pp. 241-244, 2018. https://doi.org/10.1109/LWC.2018.2868636
  8. [8] M. Riedl, L. Potter, C. Bryant, and E. Ertin, “Joint Synthetic Aperture Radar and Space-Time Adaptive Processing on a Single Receive Channel,” IEEE Trans. on Aerospace and Electronic Systems, Vol.51, Issue 1, pp. 331-341, 2015. https://doi.org/10.1109/TAES.2014.130596
  9. [9] D. Chaos, J. Chacón, J. A. Lopez-Orozco, and S. Dormido, “Virtual and Remote Robotic Laboratory Using EJS, MATLAB and LabVIEW,” Sensors, Vol.13, No.2, pp. 2595-2612, 2013. https://doi.org/10.3390/s130202595
  10. [10] A. Ahmadi, S. Talebi, and M. Shahabinejad, “A New Approach to Fast Decode Quasi-Orthogonal Space-Time Block Codes,” IEEE Trans. on Wireless Communications, Vol.14, Issue 1, pp. 165-176, 2015. https://doi.org/10.1109/TWC.2014.2334615
  11. [11] F. K. Gong, J. K. Zhang, and J. H. Ge, “Novel Distributed Quasi-Orthogonal Space-Time Block Codes for Two-Way Two-Antenna Relay Networks,” IEEE Trans. on Wireless Communications, Vol.12, Issue 9, pp. 4338-4349, 2013. https://doi.org/10.1109/TWC.2013.072513.121203
  12. [12] Y. Lee and H.-W. Shieh, “A Simple Layered Space-Time Block Nulling Technique for DSTTD Systems,” IEEE Communications Letters, Vol.15, Issue 12, pp. 1323-1325, 2011. https://doi.org/10.1109/LCOMM.2011.101211.111570

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