IRO Journal on Sustainable Wireless Systems
IRO Journals
Volume 1 — Issue 1 — March 2019

THE EVALUATION OF PERFORMANCE FOR A MASS-MIMO SYSTEM WITH THE STSK SCHEME OVER 3-D α - λ - μ FADING CHANNEL

https://doi.org/10.36548/jsws.2019.1.001
Joy Iong-Zong Chen
Professor, Dept. Electrical Engineering of Da-Yeh University, Taiwan
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How to Cite

Chen, Joy Iong-Zong. 2019. “THE EVALUATION OF PERFORMANCE FOR A MASS-MIMO SYSTEM WITH THE STSK SCHEME OVER 3-D α - λ - Μ FADING CHANNEL”. IRO Journal on Sustainable Wireless Systems 1 (1): 1-19. https://doi.org/10.36548/jsws.2019.1.001.
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Keywords

— alpha
— lamda
— mu
— fading model
— AoA
— AoD
— M-MIMO Beamforming
— STSK
Published: 31-03-2019

Abstract

The evaluation to the performance of bit error rate (BER) for an massive multi-input multi-output (MMIMO) system with spatial time shift keying (STSK) scheme over three-dimensions (3-D) α - λ - μ fading model is proposed in this article. The long-term evaluation advanced (LTE-A) or 5th generation (5G) M-MIMO radio system is deployed with beamforming techniques over 3-D environment that contains the correlation phenomenon between angle of arrival (AoA) and angle of departure (AoD). Moreover, the determination of moment generating function (MGF) and characteristic function (CF) approaches is applied to derive analytical expression of BER for 3-D M-MIMO in order to avoid some difficult steps. Besides, the channel capacity is presented by using of mutual information to confirm the accuracy of the theoretically derived formulas. Furthermore, the work of performance evaluation is with different numbers of transmitter and receiver antennas. The correlation parameter between AoA and AoD definitely generates impact on the performance of BER when consider an M-MIMO system over the α - λ - μ fading model and beamforming transmission.

References

  1. P. Kyritsi and D. C. Cox, “Correlation Properties of MIMO Radio Channels for Indoor Scenarios,” in Proc. of the Thirty-Fifth Conf. on Signals, Systems, and Computers, Asilomar, pp. 994-998, 2001.
  2. X. Zhemin, S. Sana, and R. S. Blum, “Analysis of MIMO Systems with Receive Antenna Selection in Spatially Correlated Rayleigh Fading Channels,” IEEE Trans. on Vehicular Technology, Vol. 58, no. 1, pp. 251-262, 2009.
  3. Nadeem, Qurrat-Ul-Ain, A. Kammoun, M. Debbah, Alouini Mohamed-Slim, “3D Massive MIMO Systems: Modeling and Performance Analysis,” IEEE Transactions on Wireless Communications, Vol. 14, no. 12, pp. 6926-6939, Dec. 2015.
  4. Yi Wang; Chunguo Li; Yongming Huang; Dongming Wang; Tian Ban; Luxi Yang, “Energy-Efficient Optimization for Downlink Massive MIMO FDD Systems With Transmit Side Channel Correlation”, IEEE Transactions on Vehicular Technology, Vol. 65, Issue: 9, pp. 7228-7243, Sep. 2016.
  5. Qing Guo; Guan Gui; Fei Li, “Block-partition Sparse Channel Estimation for Spatially Correlated Massive MIMO Systems”, IEEE Conference in 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), pp 1- 4, 2016.
  6. Qurrat-Ul-Ain Nadeem, Abla Kammoun; Merouane Debbah, Mohamed-Slim Alouini, “Performance Analysis of Compact FD-MIMO Antenna Arrays in a Correlated Environment”, IEEE Access, Vol. Issue: 99, pp. 1-1, 2017,
  7. Young-Han Nam, Y. Li, J. C. Zhang, “3D Channel Models for Elevation Beamforming and FD-MIMO in LTE-A and 5G,” Signals, Systems and Computers, 2014 48th Asilomar Conference on , pp. 805-809, 2014.
  8. Shangbin Wu, Cheng-Xiang Wang, E. -H. M. Aggoune, M. M. Alwakeel, Yejun He, ”A Non-Stationary 3-D Wideband Twin-Cluster Model for 5G Massive MIMO Channels,” Selected Areas in Communications, IEEE Journal on, Vol. 32, Issue: 6, pp. 1207-1218, 2014.
  9. J. Charles, A. Furuskar, M. Frodigh, S. Jeux, A. Saadani, M. S. Hassan, A. Stidwell, J. Soder, B. Timus, “Refined Statistical Analysis of Evolution Approaches for Wireless Networks,” Wireless Communications, IEEE Transactions on, Vol. 14, Issue: 5, pp. 2700-2710, 2015.
  10. Yuwei Ren; Xin Su; Can Qi; Yingmin Wang, “Channel Reconstruction for SVD-ZF Precoding in Massive 3D-MIMO Systems: Low-Complexity Algorithm”, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), pp. 1-7, 2016.
  11. Yeqing Hu, Yi Hong, Jamie Evans, “Modelling Interference in High Altitude Platforms with 3D LoS Massive MIMO”, 2016 IEEE International Conference on Communications (ICC), pp. 1-6, 2016.
  12. G. Sommerkorn, M. Kaske, C. Schneider, S. Hafner, R. Thoma, ”Full 3D MIMO Channel Sounding and Characterization in an Urban Macro Cell, ” General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI, pp. 1-4, 2014.
  13. A. Kammoun, H. Khanfir, Z. Altman, M. Debbah, and M. Kamoun, “Preliminary Results on 3D Channel Modeling: From Theory to Standardization,” IEEE Journal on Selected Areas in Commun., Vol. 32 , Issue: 6, pp. 1219-1229, 2014.
  14. S. Sugiura, “Dispersion Matrix Optimization for Space-Time Shift Keying,” IEEE Communications Letters, Vol. 15, no. 11, NOV. 2011.
  15. C. SACCHI1, T. F. RAHMAN1, I. A. HEMADEH, and M. EL-HAJJAR, “Millimeter-Wave Transmission for Small-Cell Backhaul in Dense Urban Environment: a Solution Based on MIMO-OFDM and Space-Time Shift Keying (STSK),” IEEE Journals & Magazines, Vol. 5, pp. 4000 - 4017, 2017.
  16. Y. Wang, W. Zhang, O. Li, and P. Zhang, “Interference coordination in 3D MIMO-OFDMA networks,” IEICE Trans. Communications, Vol. E97-B, no. 3, pp. 674-684, 2014.
  17. Qurrat-Ul-Ain Nadeem; Abla Kammoun; Mérouane Debbah; Mohamed-Slim Alouini, “3D Massive MIMO Systems: Modeling and Performance Analysis”, IEEE Transactions on Wireless Communications, Vol. 14, Issue: 12, pp. 6926-6939, Dec. 2015.
  18. A. K. Papazafeiropoulos, S. A. Kotsopoulos, “The α-λ-μ and α-η-μ Small-Scale General Fading Distributions: A Unified Approach”, Wireless Pers. Commun., Vol. 57, pp. 735-751, 2011.
  19. Osamah S. Badarneh, Member, IEEE, and Mohammed S. Aloqlah, “Performance Analysis of Digital Communication Systems over α-η-μ Fading Channels”, IEEE Trans. on Vehicular Tech., pp. 7972-7981,Vol. 65, No. 10, Oct., 2016.
  20. A. Borhani and M. P¨atzold, ”Time-of-Arrival, Angle-of-Arrival, and Angle-of-Departure Statistics of a Novel Simplistic Disk Channel Model,” Signal Processing and Communication Systems (ICSPCS), 2011 5th International Conference on, pp. 1-7, 2011.
  21. L. Liu, Y. Li, J. (Charlie) Zhang, “DoA Estimation and Achievable Rate Analysis for 3D Millimeter Wave Massive MIMO Systems”, 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 6-10, 2014.
  22. I. S. Grodshteyn, I. M. Ryzhik, Table of Integrals, Series, and Products, 5th ed., CA: Academic Press, San Diego, 1994.
  23. U. V. Amari and R. B. Misra, “Closed-form Expressions for Distribution of Sum of Exponential Random Variables,” IEEE Trans. on Reliab., Vol. 46, no. 4, pp. 519-522, Dec. 1997.