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OFDM-ML-IDM System for Efficient Wireless Image Transmission

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Abstract

In this paper, orthogonal frequency division multiplexing multi-layer interleaved division multiplexing (OFDM-ML-IDM) system is proposed as an efficient image communication system. Regardless the image compression technique, in the proposed image communication system the digital image signal is represented with the digital data of non-compressed image format. Recently, coded IDM communications never got much attention as a promising image transmission technique. The main idea is to use both multi-layer coded IDM and chip-by-chip iterative detection concepts for both bandwidth efficiency and efficient detection, respectively. Different simulation parameters effect such as number of IDM layers, number of receiver iterations and non-linear power amplifier effects are studied. The system performance is also investigated in wireless Additive White Gaussian Noise (AWGN) and Rayleigh fading channels. The key performance indicators that are used for measuring the system performance are the visual quality metric in-terms of Peak Signal to Noise Ratio (PSNR) performance and the system reliability in-terms of bit error rate performance. The main contribution in this paper is to prove that: based on the application requirement and at definite SNR points; the multi-layer IDM reflects a slight performance change compared with the bandwidth consumption. Simulation results show that at low \(SNR = 6 \;{\text{dB}}\) for single and double layers case study, the PSNR performance is \(51.1073 \;{\text{dB}}\) and \(48.5636\; {\text{dB}}\) respectively at wireless AWGN channel, but the double layer IDM achieves \(50\%\) efficient bandwidth than single layer for exchange only \(2.5437\; {\text{dB}}\) which is considered a minor PSNR performance compared with single layer IDM, as well as the quad layers PSNR performance is \(36.1849\; {\text{dB}}\) with \(25\varvec{\% }\) bandwidth consumption. For high \(SNR\), the performance has an excellent visual quality metric with efficient bandwidth consumption. Signal distortion technique such as clipping and companding methods are used to overcome the originated high peak to average power ratio based ML-IDM with large OFDM envelope fluctuations; hence we study the clip ratio and companding parameter effect on the visual quality metric performance.

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References

  1. Gonzalea, R. C., & Woods, R. E. (2004). Digital image processing (2nd ed.). Upper Saddle River: Prentice Hall.

    Google Scholar 

  2. Skodras, A., Christopoulos, C., & Ebrahimi, T. (2001). The JPEG 2000 still image compression standard. IEEE Signal Processing Magazine, 18, 36–58.

    Article  MATH  Google Scholar 

  3. Chourasiya, R., & Shrivastava, A. (2012). A study of image compression based transmission algorithm using SPIHT for low bit rate application. Advanced Computing: An International Journal (ACIJ), 3(6), 47–54.

    Google Scholar 

  4. Bito, J., Hoöhne, T., Schulz, H., & Nol, P. (1998). Multi-path fading effects on integrated video, voice and data transmission in hybrid code BPSK-DS/CDMA Systems. Signal Processing: Image Communication, 12(2), 183–192.

    Google Scholar 

  5. Dang, P. P., & Chau, P. M. (2000). Robust image transmission over CDMA channels. IEEE Trans on Consumer Electronics, 46, 3.

    Google Scholar 

  6. El-Bakary, E. M., Hassan, E. S., Zahran, O., El-Dolil, S. A., & Abd El-Samie, F. E. (2013). Efficient image transmission with Multi-carrier CDMA. Wireless Personal Communications, 69(2), 979–994.

    Article  Google Scholar 

  7. Jindal S., Agarwal D. (2014). Performance evaluation of image transmission over MC-CDMA system using two interleaving systems. In Procedings of the ICACCI2014 (pp. 1341–1347).

  8. Al-Junaid, A. F., & Al-kamali, F. S. (2015). Efficient wireless transmission system based on the recent DST-MC-CDMA (pp. 1–12). Wirel. Netw. J.: Springer.

    Google Scholar 

  9. Yang, S. C. (2010). OFDMA system analysis and design. Norwood: Artech House.

    Google Scholar 

  10. Li, J., Wu, X., & Laroia, R. (2013). OFDMA mobile broadband communications: A systems approach (1st ed.). Cambridge: Cambridge University Press.

    Book  Google Scholar 

  11. Myung, H. G., & Goodman, D. J. (2008). Single carrier FDMA a new air interface for long term evaluation. Hoboken: Wiley.

    Book  Google Scholar 

  12. Al-Kamali, F. S., Qasem, A. A., Abuasbaa, S. A., & Qasem, G. A. (2016). SC-FDMA and OFDMA: An efficient wireless image transmission systems. Journal of Control and Systems Engineering, 4(1), 74–83.

    Article  Google Scholar 

  13. Wang, Y., Lu, H., Li, Z., & Li, J. (2017). Robust Satellite image transmission over bandwidth-constrained wireless channels. In IEEE international conference on communications (ICC).

  14. Viterbi, A. J., & Omura, J. K. (1979). Principles of digital communication and coding. New York: Mc-Graw Hill.

    MATH  Google Scholar 

  15. Berrou, C., Glavieux, A., & Thitimajshima, P. (1993). Near shannon limit error-correcting coding and decoding: Turbo codes (1). In Proceedings of the IEEE International Conference on Communications (ICC”93) (Vol. 2, pp. 1064–1070).

  16. Burr, A. G., & White, G. P. (1999). Performance of turbo-coded OFDM. In Proceedings of the IEE colloquium on turbo codes in digital broadcasting (pp. 1–8).

  17. Savitha, H. M., & Kulkarni, M. (2010). Performance evaluation of turbo coded OFDM systems and application of turbo decoding for impulsive channel. ICTACT Journal on Communication Technology, 1, 175–183.

    Article  Google Scholar 

  18. Gallager, R. (1962). Low-density parity-check codes. IRE Transactions on information theory, 8(1), 21–28.

    Article  MathSciNet  MATH  Google Scholar 

  19. Soliman, N. F., Albagory, Y., Elbendary, M. A., Al-Hanafy, W., El-Rabaie, E. M., Alshebeili, S. A., et al. (2014). Chaotic interleaving for robust image transmission with LDPC coded OFDM. Wireless Personal Communications, 79(3), 2141–2154.

    Article  Google Scholar 

  20. Leung, W. K., Wu, K. Y., & Ping, L. (2003). Interleave division multiplexing space time codes. In 57th IEEE vehicular technology conference, VTC 2003-Spring. Semiannual (pp. 1094–1098).

  21. Ping, L., Lihai Liu, K., & Leung, W. K. (2004). On interleave-division multiple-access. IEEE Communications Society, 5, 2869–2873.

    Google Scholar 

  22. Ping, L., Liu, L., Keying, W. W., & Leung, K. (2006). Interleave division multiple access. IEEE Transactions on Wireless Communications, 5(4), 938–947.

    Article  Google Scholar 

  23. Shukla, M. K. (2010). Performance evaluation of IDMA system in wireless communication. PhD thesis, Motilal Nehru National Institute of Technology.

  24. Kusume, K., Bauch, G., & Utschick, W. (2012). IDMA vs. CDMA: Analysis and comparison of two multiple access systems. IEEE Transactions on Wireless Communications, 11, 78–87.

    Article  Google Scholar 

  25. Krikidis, I. (2009). Analysis and optimization issues for superposition modulation in cooperative networks. IEEE Transactions on Vehicular Technology, 58(9), 4837–4847.

    Article  Google Scholar 

  26. Schlegel, C., Burnashev, M., & Truhachev, D. (2010). Generalized superposition modulation and iterative demodulation: A capacity investigation. Journal of Electrical and Computer Engineering, 2010, 1–9.

    MATH  Google Scholar 

  27. Hao, D., & Hoeher, P. A. (2010). Superposition modulation with reliability-based hybrid detection. In 6th International symposium on turbo codes & iterative information processing (pp. 280–284).

  28. Hoeher, P. A., & Wo, T. (2011). Superposition modulation: myths and facts. IEEE Communications Magazine, 49(12), 110.

    Article  Google Scholar 

  29. Rahmatallah, Y., & Mohan, S. (2013). Peak-to-average power ratio reduction in OFDM systems: A survey and taxonomy. IEEE Communications Surveys & Tutorials., 15(4), 1567–1592.

    Article  Google Scholar 

  30. Bisht, M., & Joshi, A. (2015). Various techniques to reduce PAPR in OFDM systems: A survey. International Journal of Signal Processing, Image Processing and Pattern Recognition, 8(11), 195–206.

    Article  Google Scholar 

  31. Mowla, M., Ali, M., & Aoni, R. A. (2014). Performance comparison of two clipping based filtering methods for PAPR reduction in OFDM signal. International Journal of Mobile Network Communications & Telematics, 4(1), 23–34.

    Article  Google Scholar 

  32. AL-Hashmi, Z. S. H. (2015). An overview: Peak to average power ratio (PAPR) in OFDM system using some new PAPR techniques (with matlab code). Baghdad, College of Engineering Electronic & Communications Engineering Department. https://www.slideshare.net/ZALHashemi/anoverview-peak-to-average-power-ratio-papr-in-ofdm-system-using-some-new-papr-techniques-with-matlabcode?from_action=save.

  33. Fazel, K., & Kaiser, S. (2008). Multi-carrier and spread spectrum systems from OFDM and MC-CDMA to LTE and WiMAX (2nd ed.). Hoboken: Wiley.

    Book  Google Scholar 

  34. Wu, H., Ping, L., & Perotti, A. (2006). User-specific chip-level interleaver design for IDMA system. IEEE Electronics Letters, 42, 233.

    Article  Google Scholar 

  35. Shukla, M., Srivastava, V. K., & Tiwari, S. (2008). Analysis and design of tree based interleaver for multiuser receivers in IDMA System. In Proceedings 16 th IEEE international conference on networks, ICON’08 (pp. 1–4).

  36. Shukla, M., Srivastava, V. K., & Tiwari, S. (2009). Analysis and design of optimum interleaver for iterative receivers in IDMA system. Wiley Journal of Wireless Communication and Mobile Computing, 9(10), 1312–1317.

    Article  Google Scholar 

  37. Shukla, M., Srivastava, V. K., & Tiwari, S. (2009). A parallel interleaver design for IDMA systems. In Proceedings international conference on wireless communications & signal processing, WCSP ‘09 (pp. 1–5).

  38. Gupta, R., Kanaujia, B. K., Chauhan, R. C. S., & Shukla, M. (2010). Prime number based interleaver for multiuser iterative IDMA systems. In International conference on computational intelligence and communication networks (pp. 603–607).

  39. Bie, H., & Bie, Z. (2006). A hybrid multiple access system: OFDMA-IDMA. In 1st International conference on communications and networking in China (pp. 1–3).

  40. Eldin, A. Z., Hagras, E. A., & Abdel-Kader, H. M. (2014). Performance analysis of single code SCM-OFDM in mobile communication system. In: International conference on engineering and technology (ICET) (pp. 1–6).

  41. Singh, A., & Kaur, H. (2012). Non linearity analysis of high power amplifier in OFDM system. International Journal of Computer Applications, 37(2), 37–41.

    Article  Google Scholar 

  42. Stefano, R. (2011). Advanced signal and receiver design for next generation OFDM systems. Thesis (PhD), University of Bologna.

  43. Jari, Y. (2010.). Iterative detection, decoding and channel estimation in MIMO-OFDM. Thesis (PhD), University of Oulu.

  44. Mark C. R. (2013). Iterative receiver techniques for coded multiple access communication systems. Thesis (PhD). University of South Australia.

  45. Li, P., Guo, Q. H., & Tong, J. (2007). The OFDM-IDMA approach to wireless communication systems. IEEE Wireless Commun., 14(3), 18–24.

    Article  Google Scholar 

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Correspondence to Ahmed E. Zein El-Din.

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Hagras, E.A.A., Zein El-Din, A.E. OFDM-ML-IDM System for Efficient Wireless Image Transmission. Wireless Pers Commun 107, 729–757 (2019). https://doi.org/10.1007/s11277-019-06297-y

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