Cognitive radio aided internet of vehicles (IoVs) for improved spectrum resource allocation
Abstract
The highly anticipated era of Internet of Things (IoTs) expected to empower all aspects of Intelligent Transportation Systems (ITS) will undeniably improve transport safety and significantly reduce road accidents. To promote the communication of mobile vehicles (or IoVs), US FCC officially allocated a merger 75 MHz spectrum in the 5.9 GHz band to enable vehicular communication. In this paper, we studied the application of CR technology to IoVs in order to increase the spectrum resource opportunities especially when the officially allocated 75 MHz spectrum in 5.9 GHz band is not enough due to high demands as a result of increasing number of connected devices as already foreseen in the near era of IoTs. We proposed a novel CRAVNET framework which empowers CR assisted vehicles to make opportunistic usage of licensed spectrum bands on the highways, and developed a novel co-operative three-state spectrum sensing and allocation solution which makes CR vehicular SUs aware of additional spectrum resources opportunities on their current and future positions. Both the simulation and theoretical analysis have demonstrated that our solution can significantly improve the performance of a cooperative spectrum sensing and sharing schemes, and provide vehicles with additional spectrum opportunities with zero interference with the PUs activities.Citation
Eze J, Zhang S, Liu E, Chinedum E, Yu H (2015) 'Cognitive radio aided internet of vehicles (IoVs) for improved spectrum resource allocation', IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing - Liverpool, Institute of Electrical and Electronics Engineers Inc..Additional Links
https://ieeexplore.ieee.org/document/7363393Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781509001545ae974a485f413a2113503eed53cd6c53
10.1109/CIT/IUCC/DASC/PICOM.2015.347