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Optimization method and system for dynamic spectrum slice framework in super-5G Internet of Vehicles

A dynamic spectrum and optimization method technology, applied in the field of super 5G Internet of Vehicles, can solve the problem that it is difficult to achieve efficient spectrum slicing in air-space-ground integrated Internet of Vehicles

Active Publication Date: 2020-09-04
CENT SOUTH UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The present invention provides an optimization method and system for a dynamic spectrum slicing framework in the super 5G Internet of Vehicles, which is used to solve the technical problem that it is difficult to realize efficient spectrum slicing in the air-space-ground integrated Internet of Vehicles

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  • Optimization method and system for dynamic spectrum slice framework in super-5G Internet of Vehicles
  • Optimization method and system for dynamic spectrum slice framework in super-5G Internet of Vehicles
  • Optimization method and system for dynamic spectrum slice framework in super-5G Internet of Vehicles

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Embodiment Construction

[0076] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0077] figure 1 It is a typical system model of air-space-ground integrated Internet of Vehicles in this embodiment. The ground base station constitutes a fixed ground network to provide cellular network connection, and highly flexible UAVs are dynamically dispatched to provide an on-demand aviation network, and there are An equator-synchronous orbiting satellite to serve an area of ​​interest with complete wireless coverage. Assume that each vehicle has three network interfaces, which are cellular network, UAV and satellite communication. Since the vehicle network service mainly depends on the performance of the downlink, this embodiment mainly considers the downlink service of the air-space-ground integrated vehicle network. Scenes.

[0078] Bas...

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Abstract

The invention discloses an optimization method for a dynamic spectrum slice framework in a super-5G Internet of Vehicles, which comprises the following steps of: for a service request of a specific type, dispatching the service request arriving in a time slot to different downlink resource planes to deliver a service; enabling each resource plane to maintain a queue for each type of service request in a resource slicing mode; according to the unmanned aerial vehicle packet processing capacity of each resource plane in each time slot, determining the number of unmanned aerial vehicles needing to be dispatched in order to meet the dynamic packet processing requirements from all the service requests in each time slot; according to the packet processing capability of each resource plane for each service request in the time slot, by taking minimization of service supply cost and maximization of service utility of all resource planes as optimization objectives, decoupling optimization parameters based on a Lyapunov optimization technology so as to determine optimal control parameters. According to the invention, the user service performance and the resource utilization rate are effectively improved.

Description

technical field [0001] The present invention relates to the technical field of the super 5G Internet of Vehicles, in particular to an optimization method and system for a dynamic spectrum slicing framework in the Super 5G Internet of Vehicles. Background technique [0002] To enable a wide range of in-vehicle services, modern connected vehicles require a robust network that simultaneously guarantees ultra-reliable and low-latency communications for assisted / autonomous driving, provides high-bandwidth in-vehicle entertainment services, and supports intensive task offloading. communication needs, etc. Since different applications share the same spectrum resources and have different traffic consumption patterns, they will have a significant impact on each other, making it difficult to achieve satisfactory service quality. For example, high-bandwidth services can easily congest channels, resulting in packet loss or transmission delays for lightweight ultra-reliable and low-late...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W4/40H04W24/06H04W24/02
CPCH04W72/0453H04W4/40H04W24/06H04W24/02
Inventor 吕丰任炬段思婧张永敏张尧学
Owner CENT SOUTH UNIV
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