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Efficient Embedded Soft Nodes Identification Using Block Coding in Relay Systems with High Order Modulations

  • Mariem AyediEmail author
  • Noura Sellami
  • Mohamed Siala
Article

Abstract

Embedded signaling is an efficient method to blindly estimate different parameters in wireless communication systems. In this paper, we propose a new nodes identification method based on embedded signaling for wireless relay systems. Data packets, modulated with high order modulations, are transmitted by a source node and forwarded by a relay node to a destination node. In the proposed identification scheme, source and relay nodes incorporate precoding sequences, based on codewords generated from block codes, into the data sequence. A novel soft treatment based on the computation of log-likelihood ratios is performed at the destination node to identify source and relay nodes involved in packets transmissions. This soft treatment avoids noise amplification encountered in previous works. Two types of identification schemes are proposed: the hierarchical scheme and the non-hierarchical scheme. The hierarchical scheme allows the destination to recover hierarchically the identities of transmitting source and relay nodes of received packets in two shots. The non-hierarchical scheme allows the destination to efficiently recover in one shot the identities of transmitting nodes. We study the complexities of both identification schemes and compare their performance in terms of identification error rate. Since the knowledge of the channel is necessary in the identification process, we propose a blind estimation technique allowing the destination to estimate the channel. Simulations results show that our proposed methods significantly outperform previous identification methods based on embedded signaling and hard decoding. Indeed, gains of approximately 1.5 dB and 2 dB are obtained at high signal to noise ratio when the non-hierarchical scheme is used respectively for 8 Phase Shift Keying and 16PSK modulations. Simulations show also that the non-hierarchical scheme always outperforms the hierarchical scheme.

Keywords

Relay systems High order modulations Embedded signaling Block codes LLR computation Blind channel estimation 

Notes

References

  1. 1.
    Walke, B. H., Mangold, S., & Berlemann, L. (2007). IEEE 802 wireless systems: Protocols, multi-hop mesh/relaying, performance and spectrum coexistence. New York: Wiley.Google Scholar
  2. 2.
    Sasanus, S., Tipper, D., & Qian, Y. (2008). Impact of signaling load on the UMTS call blocking/dropping. In IEEE vehicular technology conference (VTC Spring) (pp. 2507–2511).Google Scholar
  3. 3.
    Schwartz, C., Lehrieder, F., & Wamser, F., et al. (2013). Smart-phone energy consumption vs. 3G signaling load: The influence of application traffic patterns. In 24th IEEE Tyrrhenian international workshop on digital communications-Green ICT (TIWDC) (pp. 1–6).Google Scholar
  4. 4.
    Sghaier, M., Abdelkefi, F., & Siala, M. (2014). An efficient blind dummy zeros insertion and SLM scheme for PAPR reduction in OFDM systems. In IEEE wireless communications and networking conference (WCNC) (pp. 747–752).Google Scholar
  5. 5.
    Missaoui, N., Kammoun, I., & Siala, M. (2016). Efficient user identification and semi-blind channel estimation for MU-MIMO systems. IEEE Wireless Communications Letters, 6(2), 150–153.CrossRefGoogle Scholar
  6. 6.
    Ayedi, M., Sellami, N., & Siala, M. (2016). Efficient nodes identification based on embedded signaling using the fast walsh hadamard transform in multi-sources multi-relays systems. In International symposium on networks, computers and communications (ISNCC) (pp. 1–5).Google Scholar
  7. 7.
    Ayedi, M., Sellami, N., & Siala, M. (2016). Efficient hierarchical embedded signaling scheme for nodes identification in cooperative wireless networks with relay selection. In IEEE personal indoor and mobile radio communications (PIMRC) (pp. 1–5).Google Scholar
  8. 8.
    Ayedi, M., Sellami, N., & Siala, M. (2017). Efficient embedded signaling scheme for nodes identification using block coding with blind phase estimation in relay systems. In Proceedings of the IEEE wireless communications and mobile computing conference (IWCMC) (pp. 1–5).Google Scholar
  9. 9.
    Bletsas, A., Khisti, A., Reed, D., & Lippman, A. (2006). A simple cooperative diversity method based on network path selection. IEEE Journal on Selected Areas in Communications, 24(3), 659–672.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Computer Engineering and SciencePrince Sattam Bin Abdulaziz UniversityAl-KharjKingdom of Saudi Arabia
  2. 2.LETI Lab., ENISSfax UniversitySfaxTunisia
  3. 3.MEDIATRON Lab., SUP’COMCarthage UniversityTunisTunisia

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