학술논문
Design Optimization of Resource Allocation in OFDMA-based Cognitive Radio-enabled Internet of Vehicles (IoVs)
Document Type
Conference
Author
Source
2019 25th International Conference on Automation and Computing (ICAC) Automation and Computing (ICAC), 2019 25th International Conference on. :1-8 Sep, 2019
Subject
Language
Abstract
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.