Double-layer cellular Internet-of-Vehicles spectrum allocation method based on vehicle number prediction

Abstract

The invention discloses a double-layer cellular Internet-of-Vehicles spectrum allocation method based on vehicle number prediction. The double-layer cellular Internet-of-Vehicles spectrum allocation method comprises the following steps of: establishing a network environment; preprocessing an existing vehicle trajectory data set; considering the time correlation and the space correlation among vehicle numbers of a plurality of regions in an actual scene, establishing a vehicle number prediction network model based on a convolution structure and LSTM, and representing the vehicle number prediction network model as a Conv_LSTM network; carrying out resource demand analysis, setting a resource demand function to be a power function, wherein a power exponent changes between 0 and 1; predictingthe number of vehicles in each SBS region at a future moment based on the Conv_LSTM network, and then acquiring resource demand of each small base station SBS at the future moment correspondingly; modeling a problem that MBS allocates resource blocks to SBS of each small base station into a multi-point dyeing problem, providing a dynamic resource allocation algorithm for solving the problem, and allocating RB resource blocks to each independent set in sequence based on the constraints of the total number of the RB resource blocks held by the MBS, so that the resource satisfaction of each SBS is balanced, and the resource utilization rate of the network is improved.

Description

technical field [0001] The invention belongs to the technical field of cellular Internet of Vehicles communication, and in particular relates to a double-layer cellular Internet of Vehicles frequency spectrum allocation method based on vehicle number prediction. Background technique [0002] The increasingly innovative technology has brought great changes to people's lives, and vehicles have become a popular means of transportation. With the increasingly strong interaction between vehicles and the road environment, and the development towards full autonomy, the concept of vehicle interconnection has emerged, and the Intelligent Transportation System (Intelligence Transportation System, ITS) has emerged as the times require. The Internet of Vehicles is an important part of the development of ITS and smart cities. Its purpose is to realize the communication needs of Vehicle to Everything (V2X), mainly including: data transmission, voice communication, video download, multimedi...

AI Technical Summary

Problems solved by technology

[0005] Although cellular technology has obvious advantages over dedicated short-range communication technology (Dedicated Short Range Communications, DSRC) technology, cellular vehicle networking is facing many challenges such as changing network topology, insufficient spectrum resources, large energy consumption of base stations, and diverse vehicle user needs. kind of challenge

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