Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Method of Spectrum Resource Allocation for Vehicle Networks Based on Semi-Markov Chain

A spectrum resource allocation and vehicular network technology, which is applied in the field of vehicular network spectrum resource allocation based on semi-Markov chains, can solve the problems of failure to fully utilize idle spectrum resources, unfavorable system stable operation, and reservation methods that cannot dynamically adapt to the network, etc. question

Active Publication Date: 2020-11-03
HUNAN UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, in this solution, only when the available spectrum resources in the vehicle network environment have been allocated, the MBS will reject the user's service request, but it will also cause the communication service requests of the macro user and the vehicle user to be difficult whenever the spectrum resources are insufficient. Satisfied, so the failure of CS to reject user requests in the early stage will also lead to insufficient spectrum resources, which is not conducive to the stable operation of the system; RS will reserve a part of the bandwidth for macro users to ensure the communication of macro users, and the frequency band Vehicles have no right to access, but the vehicle network is random and highly dynamic. In fact, macro users also change dynamically in real time. Therefore, the RS reservation method cannot dynamically adapt to the network, and its priority macro users cannot satisfy vehicle communication to a certain extent. demand, failing to make full use of idle spectrum resources

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Method of Spectrum Resource Allocation for Vehicle Networks Based on Semi-Markov Chain
  • A Method of Spectrum Resource Allocation for Vehicle Networks Based on Semi-Markov Chain
  • A Method of Spectrum Resource Allocation for Vehicle Networks Based on Semi-Markov Chain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The present invention will be further described below in conjunction with examples.

[0068] With the continuous increase of users, the traditional single network load is too large, prompting the vehicle network to develop in the direction of heterogeneity, that is, heterogeneous vehicle network HVN (Heterogeneous Vehicular Networks). HVN refers to the addition of new types of networks with small coverage in the original area, such as roadside units (RSUs), and stacking of different types of networks to achieve user offloading and improve overall system performance. Compared with the traditional vehicular network, the heterogeneous vehicular network structure is a major breakthrough in technology. It can not only provide a wide-area coverage network for more vehicles in a large scale, but also support real-time security information transmission to reduce Traffic accidents, and the resources of the same frequency band can be shared between multi-layer networks, and at th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a vehicle network spectrum resource allocation method based on a semi-Markov chain, and proposes a spectrum multiplexing strategy based on an incentive mechanism to encourage macro users to share available spectrum resources with vehicle users. Among them, the roadside unit is equipped with cognitive equipment, which can perceive the unused idle frequency band in the surrounding environment, and for the dynamic spectrum access strategy between macro users and vehicle users, a semi-Markov chain model is established, and the numerical value is used to An iterative algorithm solves the optimal policy. The method of the invention can make more full use of idle frequency spectrum resources, and at the same time maximize the long-term return of the system.

Description

technical field [0001] The invention belongs to the field of vehicle network technology, and in particular relates to a method for allocating frequency spectrum resources of a vehicle network based on a semi-Markov chain. Background technique [0002] At present, in the vehicle network, there are still many communication technology problems to be solved urgently. First of all, how to solve the problem of shortage of spectrum resources in the vehicle environment. In order to meet people's needs for vehicle communication, entertainment, etc., it is necessary to allocate certain spectrum resources to the vehicle network to provide related vehicle services for vehicles. Although the US Federal Communications Commission (Federal Communications Commission, FCC) has allocated 75MHz bandwidth in the 5.9GHz frequency band to Dedicated Short Range Communications (DSRC) to support V2I (vehicle-to-infrastructure communication) and V2V ( Vehicle-to-vehicle communication), with the incr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/40H04W72/04
CPCH04W4/40H04W72/0453H04W72/51
Inventor 肖竹倪雪纯曾凡仔蒋洪波王东
Owner HUNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products