Blind Estimation of Number of Users in TDMA Networks Using Redundancy of Adaptive Channel Coding

Document Type : Original Article

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Abstract

 A complete reverse engineering (or blind identification) in an electronic battlefield, determines the information conveyed by a received signal. Most of the research in the field of blind signal identification is around one-way and non-network communications in which the goal is to determine the information transmitted by a single transmitter. The first step of signal identification in communications networks is to determine the number of active users. In this paper, estimation of the number of users in a time-division multiple access (TDMA) network is considered. In order to estimate the number of users, a physical layer analysis can be applied to the received electromagnetic signals. However, due to some difficulties such as hardware limitations or closeness of active users, this method cannot always be employed. In these situations, a solution is to analyze the information in the upper layers of the network. In this paper, a method is proposed to estimate the number of active users using the redundant data generated by adaptive channel coding. Simulation results show that the proposed method is quite resistance against channel errors In fact, for signal to noise ratio of 7.3 dB, the accuracy of the proposed method is around 80%. .

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References

   [1]      M. Teimouri and H. Kakaei Motlagh, “Reverse Engineering of Communications Networks: Evolution and Challenges,” arXiv preprint arXiv:1704.05432, 2017.##
   [2]      O. A. Dobre, A. Abdi, Y. Bar-Ness, and W. Su, “Survey of automatic modulation classification techniques: classical approaches and new trends,” IET Commun., vol. 1, no. 2, pp. 137-156, 2007.##
   [3]      Q. An, W. Xia, Z. S. He, and H. Y. Li, “Algorithm for modulation classification of PSK signals,” in Proc. 19th International Conference on Digital Signal Processing (DSP),  pp. 54-58, Kowloon, Hong Kong, 20-23 Aug. 2014.##
   [4]      R. Imad, G. Sicot, and S. Houcke, “Blind frame synchronization for error correcting codes having a sparse parity check matrix,”  IEEE Trans. Commun., vol. 57, no. 6, pp. 1574-1577, 2009.##
   [5]      H. Wu, Z. Sha, Z. Huang, and Y. Zhou, “Frame synchronization for DVB-S2 based on scrambling sequence,” in Proc. International Symposium on Wireless Personal Multimedia Communications (WPMC), pp.     103-105, Sydney, Australia, 7-10 Sep. 2014.##
   [6]      J. P. Tillich, A. Tixier, and N. Sendrier, “Recovering the interleaver of an unknown turbo-code,” in Proc. IEEE International Symposium on Information Theory (ISIT), pp. 2784-2788, Honolulu, HI, 29 June - 4 July 2014.##
   [7]      H. Ryu, J. Lee, H. Hong, and D. Yoon, “Estimation of interleaver period for unknown signals,” in Proc. 2nd IEEE International Conference on Network Infrastructure and Digital Content, pp. 678-680, Beijing, China, 24-26 Sep. 2010.##
   [8]      X. W. Wu, S. N. Koh, and C. C. Chui, “Primitive polynomials for robust scramblers and stream ciphers against reverse engineering,” in Proc. IEEE International Symposium on Information Theory Proceedings (ISIT), pp. 2473-2477, Austin, TX, 13-18 June 2010.##
   [9]      X. B. Liu, S. N. Koh, X. W. Wu, and C.-C. Chui, “Investigation on scrambler reconstruction with minimum a priori knowledge,” in Proc. IEEE Global Telecommunications Conference, Houston, TX, pp. 1-5,    5-9 Dec. 2011.##
[10]      J. Wang, Y. Yue, and J. Yao, “Statistical recognition method of binary BCH code,” Communications and Network, vol. 3, no. 1, pp. 17-22, 2011.##
[11]      W. Li, J. Lei, L. Wen, and B. Chen, “An improved method of blind recognition of RS code based on matrix transformation,” in Proc. 15th IEEE International Conference on Communication Technology (ICCT), pp. 196-200, Guilin, China, 17-19 Nov. 2013.##
[12]      F. Samsami-Khodadad and F. Nazari, “A Novel and Efficient DS/CDMA Direction of Arrival Algorithm for Multipath Fading Channel,” Journal of Electronical & Cyber Defence, vol. 4, no. 3, pp. 27-36, 2016. (in persian)##
[13]      ETSI, GSM, “Technical Specification 05.03,” Digital cellular communications system (GSM Radio Access Phase 3), Channel coding, Version 6.0, 1998.##
[14]      A. Valembois, “Detection and recognition of a binary linear code.” Discrete Appl. Math., vol. 111, no. 1, pp. 199-218, 2001.##

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History

  • Receive Date: 15 October 2016
  • Revise Date: 20 February 2019
  • Accept Date: 19 September 2018
  • Publish Date: 23 July 2018

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