Error Performance Analysis of Wireless Video Communication Systems Employing Multi-level MPSK Modulation and MIMO Technologies



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Submitted Dec 2, 2021
Published Mar 13, 2022
10.24018/ejeng.2022.7.2.2688

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Real-time communications of high definition video with the available limited channel bandwidth is a fundamental requirement for modern mobile and wireless networks such as Wi-Fi, WiMax, 3G, LTE and the emerging 5G. To fulfill this requirement, H.264/AVC and High Efficiency Video Coding (HEVC) or H.265 standards have been implemented to achieve high error performance over wireless channels and large compression efficiency thereby optimizing channel bandwidth. The problem of establishing and maintaining reliable communication paths among mobile users employing multiclass bitstreams to achieve high spatial diversity and coding gains is a big challenge for researchers. In practice, multimedia standards employ data partitioning where different levels of importance are assigned to the multimedia content.

The problem of transmission of coded HEVC data over wireless channels employing MIMO technologies to maximize high spatial diversity and coding gains has not been explicitly explored in existing research works. Moreover, to meet the demand of 5G networks in providing ultra-reliable low latency communications it is required to study fully the performance of multimedia data over wireless channels. To this end we propose, in this paper, to study and analyze the performance of coded MIMO systems employing a triple-class bitstreams source namely a high priority, medium priority and low priority class. The objective of our study is to promote Unequal Error Protection (UEP) as well as spatial diversity of the coded bitstreams without sacrificing the channel bandwidth and increasing the computational complexity. Space-Time Block Codes with Orthogonal properties and Hierarchical or Multi-level 8PSK modulation are considered in our analysis and the adopted approach will be shown, through numerical evaluation and simulations, that excellent UEP capabilities as well as high spatial diversity gains can be achieved.

New Bit Error Rate (BER) expressions in closed form are derived for independent and identically distributed Rayleigh channel in the presence of Additive White Gaussian Noise (AWGN). Single and multiple fading channel reception systems with Maximum Ratio Combining (MRC) are considered. The simulations of our proposed UEP transmission model are designed and implemented in Matlab Simulink® R2017. It is shown that the most important priority data gives a coding gain of around 11 dB over the less important one at a BER of 10--6 for an 8-diversity order Orthogonal Space-Time Block Code (OSTBC) employing Hierarchical 8PSK modulation. This work can be extended to evaluate the error probability of multiuser coded systems for 4G and 5G networks.

Keywords: 5G networks, Coded MIMO systems, H.265, Fading channels, Multi-level modulation, Wireless JPEG, Wireless Space-Time codes

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References

  1. Masnick B, Wolf J. On linear unequal error protection codes. IEEE Transactions on Information Theory. 1967; 13(4):600-607.
     Google Scholar
  2. Kim Il-Min, Ghassemzadeh SS, Tarokh V. Optimized Non-uniform PSK for Multiclass Traffic and its Applications to Space-Time Block codes. IEEE Transactions on Communications. 2006; 54(2):364-373.
     Google Scholar
  3. High Efficiency Video Coding, Apr. 2015, Standard ITUT, H.265, ISO/IEC MPEG and ITU-T VCEG.
     Google Scholar
  4. Alamouti SM. A simple transmit diversity technique for wireless communications. IEEE J. Sel. Areas Commun. Oct. 1998;16(8):1452–1458.
     Google Scholar
  5. Tarokh V, Jafarkhani H, and Calderbank AR. Space-time block codes from orthogonal designs. IEEE Trans. Inf. Theory. July 1999; 45(5):1456–1467.
     Google Scholar
  6. Vitthaladevuni P and Alouini M. Exact BER computation of generalized hierarchical PSK constellations. IEEE Transactions on Communications. Dec. 2003; 51: 2030-2037.
     Google Scholar
  7. Simon MK, Alouini MS. Digital Communications over Fading channels: A unified approach to performance analysis. Chap. 5, John Wiley & Sons, 2000.
     Google Scholar
  8. Li Q et al. MIMO techniques in WiMAX and LTE: a feature overview. IEEE Comm. Magazine. May 2010; 48(5): 86-92.
     Google Scholar
  9. Ji H et al. Overview of Full-dimension MIMO in LTE-Advanced Pro. IEEE Comm. Magazine. Feb 2017; 55(2): 176-184.
     Google Scholar
  10. Zhang H, Gulliver TA. Capacity and Error Probability Analysis for Orthogonal Space-Time Block Codes over Fading channels. IEEE Transactions on Wireless Communications. March 2005; 4(2): 808-819.
     Google Scholar
  11. Alouini MS, Goldsmith AJ. A unified approach for calculating Error Rates of Linearly Modulated signals over generalized fading channels. IEEE Transactions on Communications. Sep. 1999; 47(9): 1324-1334.
     Google Scholar
  12. Proakis JG. Digital Communications. Mc-Graw Hill, 4th edition, 2000.
     Google Scholar
  13. Chennakeshu S, Anderson JB. Error rates for Rayleigh fading multichannel reception of MPSK signals. IEEE Transactions on Communications. April 1995; 43:338–346.
     Google Scholar
  14. Annamalai A, Tellambura C. Error rates for Nakagami-m fading Multichannel reception of Binary and M-ary signals. IEEE Transactions on Communications. Jan. 2001; 49(1):58-68.
     Google Scholar
  15. Barmada B. Rehman S. From source coding to MIMO: A multi-level unequal error protection. 2016 IEEE Region 10 Conference (TENCON), pp. 3597-3600, 2016.
     Google Scholar
  16. Cui C, Xiang W, Wang Z, Guo Q. Polar codes with unequal error protection property. Elsevier Journal of Computer communications. June 2018; 123: 116-125.
     Google Scholar
  17. Zhang Y, Hemadeh IA, El-Hajjar M, Hanzo L. Multi-Set Space-Time Shift Keying Assisted Adaptive Inter-Layer FEC for Wireless Video Streaming. IEEE Access. 2018; doi: 10.1109/ACCESS.2018.2888906.
     Google Scholar
  18. Yue J, Lin Z, Vucetic B. Distributed Fountain codes with adaptive unequal error protection in Wireless Relay networks. IEEE Transactions on Wireless Communications. Aug. 2014;13(8): 4220-4231.
     Google Scholar
  19. Hosany M, Jugurnauth R. A novel Trellis Coded Modulation scheme for robust transmission of Prioritized H.264/AVC Video employing Alamouti’s code for wireless MIMO systems. American International Journal of Research in Science, Technology, Engineering & Mathematics. Aug. 2014; 7(3): 205-211.
     Google Scholar
  20. Muaref A, Aissa S. Performance analysis of Orthogonal Space Time Block codes in spatially correlated MIMO Nakagami- fading channels. IEEE Transactions on Wireless Communications. April 2006; 5(4): 807-817.
     Google Scholar
  21. Hosany MA. Application of Rate-Compatible Punctured Convolutional Codes and Non-Uniform 8PSK Modulation to Unequal Error Protection. Research Journal of the University of Mauritius. April 2013;19A: 23-41.
     Google Scholar
  22. Lee J, Cho K, Yoon D. New BER Expression of Hierarchical M-ary Phase Shift Keying. ETRI Journal. Dec. 2007; 29(6).
     Google Scholar
  23. Craig JW. A new, simple, and exact result for calculating the probability of error for two-dimensional signal constellations. Proc. IEEE Military Communications Conf. (MILCOM’91), McLean, VA, Oct. 1991, pp. 571–575.
     Google Scholar
  24. Gradshteyn IS, Ryzhik IM. Table of Integrals, Series, and Products, 7th ed. San Diego, CA: Academic Press, 2007.
     Google Scholar
  25. Pawula RF. Distribution of the Phase Angle between Two Vectors Perturbed by Gaussian Noise II. IEEE Trans. Vehicular. Tech. March 2001; 50(2):576-583.
     Google Scholar
  26. Simon MK, Alouini MS. Digital Communications over Fading channels: A unified approach to performance analysis. pp. 275, John Wiley & Sons, 2000.
     Google Scholar