Design optimization of resource allocation in OFDMA-based cognitive radio-enabled internet of vehicles (IoVs)∗
Affiliation
University of BedfordshireIssue Date
2019-11-11Subjects
game theorycognitive radio
WAVE
Internet of Vehicles (IoVs)
VANET
Nash bargaining solution
OFDMA
Metadata
Show full item recordAbstract
The problem of joint optimal subcarrier and transmit power allocation with quality of service (QoS) guarantee for enhanced packet transmission over a cognitive radio-enabled IoVs network system is considered in this paper. A novel Symmetric Nash bargaining solution (SNBS) based wireless radio resource scheduling scheme in orthogonal frequency division multiple access (OFDMA) cognitive radio (CR)-enabled IoVs network systems is proposed. Furthermore, a novel approach which uses Lambert-W function characteristics is introduced and by applying time-sharing variable transformation, closed-form analytical solutions were obtained. To avoid the iterative processes associated with searching the optimal solution numerically through iterative programming methods, this study developed a low-complexity algorithm. Theoretical analysis and simulation results demonstrate that under similar conditions, the proposed solutions outperform reference scheduler schemes.Citation
Eze J, Eze E, Zhang S, Liu E (2019) 'Design optimization of resource allocation in OFDMA-based cognitive radio-enabled internet of vehicles (IoVs)∗', 2019 25th International Conference on Automation and Computing (ICAC) - Lancaster, Institute of Electrical and Electronics Engineers Inc..Additional Links
https://ieeexplore.ieee.org/document/8895191Type
Conference papers, meetings and proceedingsLanguage
enISBN
9781861376664ae974a485f413a2113503eed53cd6c53
10.23919/IConAC.2019.8895191