Cognitive radio aided Vehicular ad-hoc networks with efficient spectrum allocation and QoS guarantee
Abstract
The increasing demand of diverse vehicular network oriented applications (both safety and non-safety related services would undoubtedly lead to shortage of spectral resource challenge for V2V communication networks. In order to resolve this issue, a novel Adaptive CR Enabled Vehicular NETwork (ACREVNET) framework is proposed in this paper. To avoid heavy overhead usually incurred during spectrum sensing, we developed a novel CR adaptive spectrum sensing (CRASS) scheme that can reduce the spectrum sensing cost and improve sensing performance effectively. We also applied the concept of Nash Bargaining Solution (NBS) to guarantee fairness in spectral resources allocation and proposed a generalized non-symmetric NBS (GNNBS) to perform a non-symmetric cognitive inter-cell spectrum allocation in the proposed ACREVNET framework. Simulation results clearly show that the proposed schemes can acquire additional spectral resource for vehicular communication by applying CR technology, and reduce the message transmission delay and blocking probability significantly.Citation
Eze J, Zhang S, Liu E, Theresa E, Eze E (2016) 'Cognitive radio aided Vehicular ad-hoc networks with efficient spectrum allocation and QoS guarantee', 22nd International Conference on Automation and Computing (ICAC) - Colchester, Institute of Electrical and Electronics Engineers Inc..Additional Links
https://ieeexplore.ieee.org/document/7604911Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781862181311ae974a485f413a2113503eed53cd6c53
10.1109/IConAC.2016.7604911