Performance analysis of Cognitive Vehicular Networks under Unreliable Backhaul

Yin, Cheng and Su, Zeming and Kortun, Ayse (2021) Performance analysis of Cognitive Vehicular Networks under Unreliable Backhaul. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 8 (26). e4. ISSN 2410-0218

[thumbnail of eai.8-4-2021.169178.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (2MB) | Preview


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.

Item Type: Article
Uncontrolled Keywords: VANET, Unreliable backhaul, Double-Rayleigh fading, Cognitive radio, Heterogeneous network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 20 Apr 2021 07:37
Last Modified: 20 Apr 2021 07:37

Actions (login required)

View Item
View Item