Energy efficiency optimal many-to-one matching-oriented Internet of Vehicles resource optimization method

Abstract

The invention discloses an Internet of Vehicles resource optimization method oriented to energy efficiency optimal many-to-one matching. The method mainly aims at a vehicle networking communication scene based on edge parking vehicle assistance, and comprises the following steps of: 1, expressing energy efficiency (EE) of each user in a network by using vehicle position and transmitting power information, and describing an optimal communication resource optimization problem of the EE; step 2, modeling a multiplexing relationship between an orthogonal channel and a C-V2V channel into a many-to-one matching model with companion utility, and defining utility functions of two matching parties; and step 3, adopting a swap mechanism to enable matching to be carried out towards an EE increasing direction, and when a swap blocking pair does not exist, carrying out matching convergence to achieve an optimal system EE. The finally obtained stable matching result corresponds to a resource allocation scheme for maximizing the system EE, the spectrum efficiency of the users can be effectively guaranteed, interference between the users in the same channel is controlled, the service quality is improved, and reliable and efficient resource allocation of the Internet of Vehicles is achieved.

Description

technical field [0001] The invention relates to the field of the Internet of Vehicles, in particular to a method for optimizing the resources of the Internet of Vehicles for optimal energy efficiency many-to-one matching. Background technique [0002] With the rapid development of vehicle technology, the Internet of Vehicles is facing unprecedented demands for low latency and high service quality. To achieve reliable vehicle networking mobile communication, V2V communication and communication between vehicles and edge nodes are two effective solutions. However, the shackles of cost factors make the widespread deployment of RSUs unrealistic. Introducing edge-parked vehicles into the urban communication network and becoming P-RSU-assisted vehicle networking communication is a promising means at this stage. [0003] In reality, the ability of P-RSU to provide orthogonal channels is very limited. Channel multiplexing is an effective strategy to improve resource utilization in a...

AI Technical Summary

Problems solved by technology

[0004] The existing resource optimization methods for C-V2V Internet of Vehicles do not consider the assistance of vehicles parked at the edge, nor do they consider the interference caused by control channel multiplexing.

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