Research Output
Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications
  Wireless communication using existing coding models poses several challenges for RF signals due to
multipath scattering, rapid fluctuations in signal strength and path loss effect. Unlike existing works, this
study presents a novel coding technique based on Analogue Network Coding (ANC) in conjunction with
Space Time Block Coding (STBC), termed as Space Time Analogue Network Coding (STANC). STANC
achieves the transmitting diversity (virtual MIMO) and supports big data networks under low transmitting
power conditions. Furthermore, this study evaluates the impact of relay location on smart devices network
performance in increasing interfering and scattering environments. The performance of STANC is analyzed
for Internet of Things (IoT) applications in terms of Symbol Error Rate (SER) and the outage probability
that are calculated using analytical derivation of expression for Moment Generating Function (MGF).
In addition, the ergodic capacity is analyzed using mean and second moment. These expressions enable
effective evaluation of the performance and capacity under different relay location scenario. Different
fading models are used to evaluate the effect of multipath scattering and strong signal reflection. Under
such unfavourable environments, the performance of STANC outperforms the conventional methods such
as physical layer network coding (PNC) and ANC adopted for two way transmission.

  • Type:

    Article

  • Date:

    10 February 2020

  • Publication Status:

    Published

  • Publisher

    Institute of Electrical and Electronics Engineers (IEEE)

  • DOI:

    10.1109/access.2020.2969750

  • Funders:

    Edinburgh Napier Funded

Citation

Tanoli, S. A. K., Shah, S. A., Khan, M. B., Nawaz, F., Hussain, A., Al-Dubai, A. Y., …Alsarhan, A. (2020). Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications. IEEE Access, 8, 29395-29406. https://doi.org/10.1109/access.2020.2969750

Authors

Keywords

General Engineering; General Materials Science; General Computer Science

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