LDPCC and OFDM based cooperative communication for wireless sensor networks

Abstract

This paper investigates the low-density parity-check codes and orthogonal frequency division multiplexing technique effects on the relay assisted sensor networks. The investigation utilizes Rician and Rayleigh fading environments for the performance analysis. The investigation also considers two different types of information exchange processes, which are direct and relay assisted cases. In the relay assisted case, the relay terminal operates in amplify-and-forward and decode-and-forward modes. Monte-Carlo based computer simulations reveal that 10-5 bit error rate value is reached at 16.50 dB for low density parity check coded orthogonal frequency division multiplexing over Rician fading environment in decode-and-forward relay protocol. Similarly, 10-5 bit error rate value is reached at 0.36 dB for the low density parity check coded orthogonal frequency division multiplexing over Rician fading environment in amplify-and-forward relay protocol and finally 10-5 bit error rate value is reached at -5.30 dB for low density parity check coded orthogonal frequency division multiplexing over Rician fading environment without relay protocols.

Keywords

• LDPCC
• OFDM
• Cooperative Communication
• Wireless sensor networks

References

1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer Networks, vol. 38, no. 4, pp. 393 – 422, 2002.
2. A. Nosratinia, T. E. Hunter, and A. Hedayat, “Cooperative communication in wireless networks,” IEEE Communications Magazine, vol. 42, no. 10, pp. 74–80, Oct 2004.
3. M. Torabi, W. Ajib, and D. Haccoun, “Performance analysis of amplify-and-forward cooperative networks with relay selection over rayleigh fading channels,” in VTC Spring 2009 - IEEE 69th Vehicular Technology Conference, April 2009, pp. 1–5.
4. J. N. Laneman and G. W. Wornell, “Distributed space-timecoded protocols for exploiting cooperative diversity in wireless networks,” IEEE Transactions on Information Theory, vol. 49, no. 10, pp. 2415–2425, Oct 2003.
5. S. Simoens, O. Munoz-Medina, J. Vidal, and A. Del Coso, “Compress-and-forward cooperative mimo relaying with full channel state information,” IEEE Transactions on Signal Pro- cessing, vol. 58, no. 2, pp. 781–791, Feb 2010.
6. T. E. Hunter and A. Nosratinia, “Performance analysis of coded cooperation diversity,” in IEEE International Conference on Communications, 2003. ICC ’03., vol. 4, May 2003, pp. 2688– 2692 vol.4.
7. H. Chen, A. B. Gershman, and S. Shahbazpanahi, “Filterand- forward distributed beamforming in relay networks with frequency selective fading,” IEEE Transactions on Signal Pro- cessing, vol. 58, no. 3, pp. 1251–1262, March 2010.
8. Du Bing and Zhang Jun, “Design and optimization of joint network-channel ldpc code for wireless cooperative communications,” in 2008 11th IEEE Singapore International Conference on Communication Systems, Nov 2008, pp. 1625–1629.

9. Weiguo Tang and Lei Wang, “Cooperative ofdm for energyefficient wireless sensor networks,” in 2008 IEEE Workshop on Signal Processing Systems, Oct 2008, pp. 77–82.
10. M. R. Islam and J. Kim, “Capacity and ber analysis for nakagami-n channel in ldpc coded wireless sensor network,” in 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Dec 2008, pp. 167–172.
11. D. S. Singh A.K., Mishra S.K., “Energy efficiency in wireless sensor networks: Cooperative mimo-ofdm,” Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol. 524, no. -, pp. 147–154, December 2018.
12. Shuguang Cui, A. J. Goldsmith, and A. Bahai, “Energyefficiency of mimo and cooperative mimo techniques in sensor networks,” IEEE Journal on Selected Areas in Communications, vol. 22, no. 6, pp. 1089–1098, Aug 2004.
13. X. Ji, Z. Bao, and C. Xu, “Power minimization for ofdm modulated two-way amplify-and-forward relay wireless sensor networks,” J Wireless Com Network, vol. 70, no. -, pp. 1–8, April 2017.
14. V. Ozduran and N. Ozdemir, “3gpp long term evolution (lte) based cooperative communication in wireless sensor networks,” in 2012 IV International Congress on Ultra Modern Telecom- munications and Control Systems, Oct 2012, pp. 900–905.
15. R. Gallager, “Low-density parity-check codes,” IRE Transac- tions on Information Theory, vol. 8, no. 1, pp. 21–28, January 1962.
16. D. J. C. MacKay and R. M. Neal, “Near shannon limit performance of low density parity check codes,” Electronics Letters, vol. 32, no. 18, pp. 1645–, Aug 1996.
17. T. J. Richardson, M. A. Shokrollahi, and R. L. Urbanke, “Design of capacity-approaching irregular low-density parity-check codes,” IEEE Transactions on Information Theory, vol. 47, no. 2, pp. 619–637, Feb 2001.
18. A. Pandharipande, “Principles of ofdm,” IEEE Potentials, vol. 21, no. 2, pp. 16–19, April 2002.
19. R. W. Chang, “Synthesis of band-limited orthogonal signals for multichannel data transmission,” The Bell System Technical Journal, vol. 45, no. 10, pp. 1775–1796, Dec 1966.
20. L. Litwin and M. Pugel, “The principles of ofdm,” RF signal processing, vol. -, no. 10, pp. 30–48, Jan 2001.
21. H. Lotia, “Modeling a multicarrier wireless communication transceiver,” Embedded Software systems literature survey, 2004.
22. C. E. Shannon, “A mathematical theory of communication,” Bell System Technical Journal, vol. 27, no. 3, pp. 379–423, 1948.
23. D. G. Brennan, “Linear diversity combining techniques,” Pro- ceedings of the IRE, vol. 47, no. 6, pp. 1075–1102, June 1959.
24. X. Liu and W. Su, “Ber performance analysis of the optimum ml receiver for decode-and-forward cooperative protocol,” in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP ’07, vol. 3, April 2007, pp. III–485–III– 488.
25. W. Su, A. Sadek, and K. Ray Liu, “Cooperative communication protocols in wireless networks: Performance analysis and optimum power allocation,” Wireless Pers Commun, vol. -, no. -, p. 181217, 2008.
26. S. Arora, C. Daskalakis, and D. Steurer, “Message-passing algorithms and improved lp decoding,” IEEE Transactions on Information Theory, vol. 58, no. 12, pp. 7260–7271, Dec 2012.