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Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications

Tanoli, Shujaat Ali Khan; Shah, Syed Aziz; Khan, Muhammad Bilal; Nawaz, Faiza; Hussain, Amir; Al-Dubai, Ahmed Y.; Khan, Imran; Shah, Syed Yaseen; Alsarhan, Ayoub

Authors

Shujaat Ali Khan Tanoli

Syed Aziz Shah

Muhammad Bilal Khan

Faiza Nawaz

Imran Khan

Syed Yaseen Shah

Ayoub Alsarhan



Abstract

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.

Citation

Tanoli, S. A. K., Shah, S. A., Khan, M. B., Nawaz, F., Hussain, A., Al-Dubai, A. Y., Khan, I., Shah, S. 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

Journal Article Type Article
Acceptance Date Dec 19, 2019
Online Publication Date Feb 10, 2020
Publication Date 2020-04
Deposit Date Feb 12, 2020
Publicly Available Date Feb 13, 2020
Journal IEEE Access
Electronic ISSN 2169-3536
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 8
Pages 29395-29406
DOI https://doi.org/10.1109/access.2020.2969750
Keywords General Engineering; General Materials Science; General Computer Science
Public URL http://researchrepository.napier.ac.uk/Output/2553964

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