Performance analysis of Cognitive Vehicular Networks under Unreliable Backhaul

Authors

  • Cheng Yin Queen's University Belfast
  • Zeming Su Queen's University Belfast
  • Ayse Kortun Queen's University Belfast

DOI:

https://doi.org/10.4108/eai.8-4-2021.169178

Keywords:

VANET, Unreliable backhaul, Double-Rayleigh fading, Cognitive radio, Heterogeneous network

Abstract

This paper presents a comprehensive model including a wireless backhaul as a cost-effective backhaul alternative to wired backhaul for vehicular networks, a heterogeneous underlay cognitive vehicular network with multiple mobile secondary transmitters acting as mobile small cells, a mobile secondary receiver and a mobile primary user. To increase the spectrum utilization in this proposed vehicular network, multiple mobile secondary transmitters forward the signal to a mobile secondary receiver while using the same spectrum with a mobile primary user on the condition that the interference caused by secondary transmitters is tolerable at the primary user. A Bernoulli process is applied to model wireless backhaul reliability. The analytical closed-form expressions for outage probability as well as the asymptotic expression are derived to reveal the effects of backhaul reliability on the network performance over double-Rayleigh fading channels.

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Published

08-04-2021

How to Cite

1.
Yin C, Su Z, Kortun A. Performance analysis of Cognitive Vehicular Networks under Unreliable Backhaul. EAI Endorsed Trans Ind Net Intel Syst [Internet]. 2021 Apr. 8 [cited 2025 Nov. 23];8(26):e4. Available from: https://publications.eai.eu/index.php/inis/article/view/218

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