학술논문

Design Optimization of Resource Allocation in OFDMA-based Cognitive Radio-enabled Internet of Vehicles (IoVs)
Document Type
Conference
Source
2019 25th International Conference on Automation and Computing (ICAC) Automation and Computing (ICAC), 2019 25th International Conference on. :1-8 Sep, 2019
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Wireless sensor networks
Simulation
Quality of service
Iterative algorithms
Convex functions
Sensors
Resource management
Cognitive Radio (CR)
Game Theory
Internet of Vehicles (IoVs)
Nash bargaining solution
OFDMA
VANET
WAVE
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.