Energy-Efficiency Resource Optimization in Internet of Vehicles

With the surge in the number of in-vehicle users and the demand for high-quality in-vehicle communications, a resource optimization strategy that combines power control and channel allocation with the goal of maximizing energy efficiency is proposed to address the problem of insufficient spectrum resources and energy efficiency resources. The strategy proposes a power control algorithm with low computational complexity to address the inaccurate estimation of Channel State Information (CSI) caused by the Doppler effect and fast fading; meanwhile, to address the energy resource management problem, an improved many-to-one matching scheme is proposed to establish an objective function to maximize the energy efficiency of the Telematics system, taking into account the co-channel interference. system energy efficiency objective function. Numerical analysis shows that the strategy proposing the new joint power control and channel assignment algorithm has improved performance in energy efficiency performance compared to the traditional method.