A Cognitive IOV Cooperative Spectrum Sensing Power Allocation Algorithm Based on Energy Efficiency Maximization

Abstract

The invention discloses a method for allocating spectrum sensing power for cognitive Internet of Vehicles cooperative spectrum sensing with energy efficiency maximization. This method uses a distributed algorithm to model the objective function, according to the optimization goal of maximizing system energy efficiency, and adds the minimum communication rate of the cognitive system, primary user interference and transmission power and other requirements. In the process of solving the approximate optimal solution, the quasi-concave problem is converted into a convex function by using fractional programming, and a new objective function is obtained. The two transmission powers required by the hybrid spectrum access method are used as variables of the objective function, and the sub-gradient The algorithm obtains the optimal Lagrangian multiplier, which is substituted into the optimal solution, and finally, the optimal power allocation is completed. Simulation experiments in the MATLAB communication simulation environment prove that the method can improve energy efficiency and ensure system perception performance.

Description

technical field [0001] The present invention relates to a cognitive Internet of Vehicles technology, in particular to a spectrum sensing method for the cognitive Internet of Vehicles, and more specifically, to a cognitive Internet of Vehicles cooperative spectrum sensing power allocation method based on energy efficiency maximization. Background technique [0002] Internet of Vehicles (IoV) refers to a huge network composed of information such as vehicle location, speed and route. With the rapid development of information technology, people's requirements for communication are increasing day by day, and it is a hot issue to allocate wireless channel resources reasonably and efficiently. Currently, Resource Allocation (RA) in IoV faces many challenges. First, as the number of IoV and related application infrastructure continues to increase, the communication business volume has greatly increased, resulting in a shortage of dedicated short-range communications (Dedicated Shor...

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Problems solved by technology

Some literatures proposed the multi-channel cooperative spectrum sensing optimization problem to maximize system energy efficiency, and jointly considered the impact of optimal transmission power, sensing time and the number of cooperative secondary users on system performance, but did not consider spectrum utilization; some literatures proposed An OSA cooperative spectrum sensing model with energy efficiency maximization is proposed, and the system energy efficiency is further improved by using an iterative algorithm and optimizing the detection threshold of a single secondary user, but spectrum utilization is not considered; As a constraint, the joint is considered in the system model, but the interference to the primary user is large

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