Design optimization of resource allocation in OFDMA-based cognitive radio-enabled internet of vehicles (IoVs)∗
AffiliationUniversity of Bedfordshire
Internet of Vehicles (IoVs)
Nash bargaining solution
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AbstractThe 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.
CitationEze 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..
TypeConference papers, meetings and proceedings