A method for offloading edge computing tasks in Internet of Vehicles
A technology for edge computing and computing tasks, applied in neural learning methods, vehicle wireless communication services, vehicle components, etc., can solve problems such as high-latency computing capabilities, and achieve the effects of large network utility, low latency, and expansion of computing resources.
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[0091] The present invention is described in further detail below in conjunction with the accompanying drawings and specific embodiments:
[0092] like figure 1 Shown is a block diagram of the method of the present invention, which includes the following four processes: establishing a new type of scene in combination with the moving vehicle and a parking lot with a reward mechanism; mathematically modeling the scene through the current state; proposing a Combining the objective function of vehicle edge network utility and delay; using DQN to solve the optimization problem of the objective function, the final offloading scheme is obtained. The specific performance is as follows: combining the computing resources of base stations near the cell users, vehicles on the road and vehicles in the parking lot to create a new scenario, expressing the process as a Markov process, and mathematically modeling the created scenario, And combined with the network utility and task processing...
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