CN114513744A - Channel state evaluation method based on position information - Google Patents

Channel state evaluation method based on position information Download PDF

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CN114513744A
CN114513744A CN202110765344.1A CN202110765344A CN114513744A CN 114513744 A CN114513744 A CN 114513744A CN 202110765344 A CN202110765344 A CN 202110765344A CN 114513744 A CN114513744 A CN 114513744A
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index
entropy
channel state
information
obtaining
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彭昱捷
王奎宇
宋晓勤
王合伟
张昕婷
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Nanjing University of Aeronautics and Astronautics
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Nanjing University of Aeronautics and Astronautics
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
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  • Electromagnetism (AREA)
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Abstract

The invention discloses a channel state evaluation method based on position information, which establishes a Technique for Order Preference by Similarity to Ideal Solution evaluation model of channel state according to the position information of a vehicle end in the Internet of vehicles; after the data of each index is standardized, calculating the entropy value of each index, obtaining the information utility value through entropy, and further obtaining the entropy weight of each index; and modifying a positive and negative distance formula in the TOPSIS model, and substituting the modified positive and negative distances into a comprehensive evaluation index calculation formula to obtain a channel state evaluation result.

Description

Channel state evaluation method based on position information
Technical Field
The invention belongs to the field of Internet of vehicles, and particularly relates to a channel state evaluation method based on position information.
Background
As the automobile market continues to expand in size, the operation of the internet of vehicles (IoV) is undergoing a catastrophic revolution. IoV is an organic application of advanced technologies such as positioning, sensor technology, telecommunication, internet, etc., and many value-added services are derived. In this case, IoV communication technology is increasingly used. The integration of V2X (vehicle-to-evolution) is becoming a hotspot. The V2X organically connects traffic participation elements such as people, vehicles, roads, clouds and the like, is beneficial to reducing accident rate, improving traffic efficiency and reducing pollution, and is beneficial to constructing an intelligent traffic system. Among them, the evaluation of the communication channel status is the key of V2V and V2X in the internet of vehicles.
One of the various multi-criteria decision methods is referred to as ranking ideal solutions according to their importance by sequential preference Technique (TOPSIS), which is similar to that of the ideal solution. TOPSIS (technique for Order Preference by Similarity to an Ideal solution) utilizes the original data to obtain the proximity degree of the evaluation data and the optimal scheme, and the entropy weight method utilizes entropy to judge the dispersion degree of the evaluation data and the optimal scheme and is further used for optimizing the TOPSIS evaluation model. In the internet of vehicles, on the basis of position information, the entropy weight method is used for evaluating the channel state, and the method has great research significance.
Disclosure of Invention
The invention aims to provide a channel state evaluation method based on position information in the Internet of vehicles, which optimizes a TOPSIS evaluation model by using an entropy weight method, and comprises the following steps of:
(1) establishing a TOPSIS (technique for order preference by similarity to known similarity) evaluation model of the channel state according to the position information of the vehicle end in the Internet of vehicles;
(2) after the data of each index is standardized, calculating the entropy value of the index, obtaining the information utility value through entropy, and further obtaining the entropy weight of each index;
(3) and modifying a positive and negative distance formula in the TOPSIS model, and substituting the modified positive and negative distances into a comprehensive evaluation index calculation formula to obtain a channel state evaluation result.
After the data of each index is standardized, the entropy value of the index is calculated, the information utility value is obtained through entropy, and the specific steps of further obtaining the entropy weight of each index are as follows:
(2a) the normalized data of each index is as follows:
Figure BSA0000246635750000021
(2b) and calculating the entropy value of the index. The larger the information entropy, the less information is obtained.
Figure BSA0000246635750000022
(2c) By entropy ejAnd obtaining an information utility value:
dj＝1-ej； (3)
(2d) obtaining the entropy weight of each index:
Figure BSA0000246635750000023
drawings
FIG. 1 is a flow chart of a method proposed by the present invention;
Detailed Description
The invention is described in further detail below with reference to the figures and examples.
A flow chart of a channel state estimation method based on location information according to the present invention is shown in fig. 1. The method specifically comprises the following steps:
(1) establishing a TOPSIS (technique for order preference by similarity to similarity) evaluation model of the channel state according to the position information of the vehicle end in the Internet of vehicles;
(2) after the data of each index is standardized, calculating the entropy value of the index, obtaining the information utility value through entropy, and further obtaining the entropy weight of each index;
(3) and modifying a positive and negative distance formula in the TOPSIS model, and substituting the modified positive and negative distances into a comprehensive evaluation index calculation formula to obtain a channel state evaluation result.
The method comprises the following specific steps of establishing a TOPSIS evaluation model of a channel state according to position information of a vehicle end in the Internet of vehicles:
(1a) a set of optimal and worst solutions is selected and combined from the processed location data. Then, positive and negative distances of each set of index data with respect to the optimal and worst plan sets are calculated.
Figure BSA0000246635750000031
Figure BSA0000246635750000032
(1b) And calculating a comprehensive evaluation index according to the positive distance and the negative distance:
Figure BSA0000246635750000033
however, the TOPSIS comprehensive evaluation model cannot measure the importance of each index. To solve this problem, an entropy weight method is used to determine the weight of each index. Compared with expert scoring, the entropy weight method is completely based on data and is more objective.
After the data of each index is standardized, the entropy value of each index is calculated, the information utility value is obtained through entropy, and the specific steps of further obtaining the entropy weight of each index are as follows:
(2a) the entropy method is a method for determining the weight of index data according to the degree of difference between different schemes. According to the characteristics of entropy, the dispersion degree of the channel state indexes is judged by using the entropy value, the influence of each index on the comprehensive evaluation result is reflected, and the ratio of items after the data of each index are standardized is as follows:
Figure BSA0000246635750000041
(2b) and calculating the entropy value of the index. The larger the information entropy, the less information is obtained.
Figure BSA0000246635750000042
(2c) By entropy ejAnd obtaining an information utility value:
dj＝1-ej； (6)
(2d) obtaining the entropy weight of each index:
Figure BSA0000246635750000043
modifying a positive and negative distance formula in the TOPSIS model, substituting the modified positive and negative distances into a comprehensive evaluation index calculation formula, and obtaining a channel state evaluation result by the following specific steps:
(3a) based on the calculation result wjWe modified the positive and negative distance formula in the TOPSIS model:
Figure BSA0000246635750000044
Figure BSA0000246635750000045
(3b) and finally, substituting the corrected positive and negative distances into a comprehensive evaluation index calculation formula to calculate the evaluation index of the channel state.
Details not described in the present application are well within the skill of those in the art.

Claims (2)

1. A channel state estimation method based on position information is characterized by comprising the following steps:
(1) establishing a TOPSIS (technique for order preference by similarity to similarity) evaluation model of the channel state according to the position information of the vehicle end in the Internet of vehicles;
(2) after the data of each index is standardized, calculating the entropy value of the index, obtaining the information utility value through entropy, and further obtaining the entropy weight of each index;
(3) and modifying a positive and negative distance formula in the TOPSIS model, and substituting the modified positive and negative distances into a comprehensive evaluation index calculation formula to obtain a channel state evaluation result.
2. The method for channel state estimation based on location information according to claim 1, wherein the step (2) comprises the following specific steps:
(2a) the normalized data of each index is the following items:
Figure FSA0000246635740000011
(2b) and calculating the entropy value of the index. The larger the information entropy, the less information is obtained.
Figure FSA0000246635740000012
(2c) By entropy ejAnd obtaining an information utility value:
dj＝1-ej； (3)
(2d) obtaining the entropy weight of each index:
Figure FSA0000246635740000013
CN202110765344.1A 2021-07-07 2021-07-07 Channel state evaluation method based on position information Pending CN114513744A (en)

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CN110969532A (en) * 2019-11-01 2020-04-07 国网浙江省电力有限公司经济技术研究院 Power grid production technical improvement project investment effect evaluation method
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Publication number Priority date Publication date Assignee Title
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