CN114245344A - Internet of vehicles uncertain channel state information robust power control method and system - Google Patents

Internet of vehicles uncertain channel state information robust power control method and system Download PDF

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Publication number
CN114245344A
CN114245344A CN202111415467.9A CN202111415467A CN114245344A CN 114245344 A CN114245344 A CN 114245344A CN 202111415467 A CN202111415467 A CN 202111415467A CN 114245344 A CN114245344 A CN 114245344A
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vehicle
link
channel state
base station
state information
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Inventor
吴伟华
刘润滋
柴冠华
郭伟
薛瑄
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Xidian University
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Xidian University
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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
    • H04W4/30—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]
    • H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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]
    • H04W4/46—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for vehicle-to-vehicle communication [V2V]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power

Abstract

The invention belongs to the technical field of communication, and discloses a method and a system for controlling the robust power of uncertain channel state information of a vehicle networking system, wherein the method for controlling the robust power of the uncertain channel state information of the vehicle networking system comprises the following steps: the method comprises the steps that a base station firstly needs to sample uncertain channel state information on a vehicle-vehicle link and learn a first moment and a second moment of the uncertain channel state information according to a sampling result; constructing a robust equivalent vehicle-vehicle link convex constraint condition to equivalently replace a probability constraint condition which is difficult to solve before according to the learned moment information; according to the obtained robust peer, calling a dichotomy to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link; and then carrying out feasibility verification on the obtained transmitting power, and outputting a verified result. The invention has the capability of deployment in different scenes, and is easy to be used in combination with other subcarrier allocation schemes, so that the invention has good compatibility.

Description

Internet of vehicles uncertain channel state information robust power control method and system
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a robust power control method and system for uncertain channel state information of an internet of vehicles.
Background
Currently, a vehicle-to-base station and a vehicle-to-vehicle link are included in a vehicle networking communication system. The vehicle-to-vehicle link communicates by multiplexing the spectrum resources of the vehicle-to-base station link. In order to realize the harmonious coexistence of the vehicle-base station link and the vehicle-vehicle link, the base station is relied on to manage and control the resources of different links in a centralized manner. The premise of the base station controlling the wireless resources is to fully acquire the channel state information on different links. However, the internet of vehicles is characterized by high mobility of the vehicles. Because the vehicle-base station link is directly connected with the base station, the base station can still accurately acquire the channel state information on the vehicle-base station link. However, the channel state information on the vehicle-vehicle link needs to be relayed and forwarded for multiple times to reach the base station, that is, a certain time delay is needed for the feedback of the channel state information on the vehicle-vehicle link. Due to the high mobility of the vehicle, when the base station acquires the channel state information of the vehicle-vehicle link, the position of the vehicle is changed, so that the base station in the vehicle networking environment is difficult to acquire accurate channel state information of the vehicle-vehicle link; in addition, the internet of vehicles communication system has extremely high requirements on the reliability of the communication link, so that robust power control facing uncertain channel state information becomes very important.
Through the above analysis, the problems and defects of the prior art are as follows: the channel state information on the vehicle-vehicle link needs to be relayed and forwarded for multiple times to reach the base station, and certain time delay is needed for the feedback of the channel state information on the vehicle-vehicle link. Meanwhile, due to the high mobility of the vehicle, when the base station acquires the channel state information of the vehicle-vehicle link, the position of the vehicle is changed, so that the base station in the vehicle networking environment is easy to acquire accurate channel state information of the vehicle-vehicle link; and the reliability of the communication link of the existing vehicle networking communication system cannot be guaranteed.
The difficulty in solving the above problems and defects is: without accurate channel state information, the system can only establish a random power allocation problem. Generally, the random power distribution problem is an NP-hard problem, and a power distribution solution obtained by solving the problem cannot satisfy the reliability constraint of the vehicle-vehicle link.
The significance of solving the problems and the defects is as follows: by solving the problem, the robust power control strategy close to practical use can be provided for the vehicle networking system, and the power resources in the system can be saved to the greatest extent while the reliability requirement of the vehicle-vehicle link is met.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a robust power control method and system for uncertain channel state information of the Internet of vehicles. The invention solves the problem of power distribution in the car networking system under the condition of high mobility, and can obviously improve the robustness of a communication link in the car networking system.
The invention is realized in this way, a robust power control method for uncertain channel state information in Internet of vehicles, which comprises the following steps:
firstly, a base station needs to sample uncertain channel state information on a vehicle-vehicle link and learn a first moment and a second moment of the uncertain channel state information according to a sampling result;
constructing a robust equivalent vehicle-vehicle link convex constraint condition to equivalently replace a probability constraint condition which is difficult to solve before according to the learned moment information;
step three, calling a dichotomy to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link according to the obtained robust equivalence;
and fourthly, performing feasibility verification on the obtained transmitting power, and outputting a verified result.
Further, the method for controlling the robust power of the uncertain channel state information of the internet of vehicles comprises the following specific processes:
step A, initializing;
and B: learning the uncertain channel state;
and C: constructing a robust equivalent expression of the vehicle-vehicle link according to the learned first-order moment g and second-order moment Sigma information;
step D: solving the transmitting power on the vehicle-base station link and the vehicle-vehicle link according to the constraint condition of the vehicle-base station link and the robust equivalent expression of the vehicle-vehicle link
Figure BDA0003375095540000031
And
Figure BDA0003375095540000032
step E: determining transmission power
Figure BDA0003375095540000033
And
Figure BDA0003375095540000034
whether the following formula is satisfied for the car-base station:
Figure BDA0003375095540000035
step F: output power distribution results
Figure BDA0003375095540000036
And Rc。
Further, in the step a, the specific initialization process is as follows:
1a) by pcAnd pdRepresenting the transmit power over the vehicle-to-base station link and the vehicle-to-vehicle link;
1b) by gd、gc、gcd、gBTo represent vehicle-to-vehicle links, vehicle-to-base station links, vehicle-to-vehicle interference links, and vehicle-to-base station interferenceChannel gain of the link;
1c) for uncertain channel state g ═ gd,gcd]TN times of sampling are carried out, and the sample set is D ═ xi(1),ξ(2),…,ξ(N)}；
1d) Modeling the power allocation problem as
Figure BDA0003375095540000037
s.t train-base station:
Figure BDA0003375095540000038
vehicle-vehicle: pr (Pr) of
Figure BDA0003375095540000039
Figure BDA00033750955400000310
Further, the step B learns the uncertain channel state, and the specific process is as follows:
learning first moment of uncertain channel state information
Figure BDA00033750955400000311
And second moment ∑
Figure BDA00033750955400000312
Figure BDA00033750955400000313
Wherein
Figure BDA00033750955400000314
Further, in the step C, the first moment is learned
Figure BDA00033750955400000315
And the second moment Σ information to construct a robust peer-to-peer expression for the vehicle-to-vehicle link:
Figure BDA0003375095540000041
where beta is a real number and Z is a three-dimensional symmetric matrix
Figure BDA0003375095540000042
Further, in the step D, according to the constraint condition of the vehicle-to-base station link and the robust equivalent expression of the vehicle-to-vehicle link, the transmission power on the vehicle-to-base station link and the vehicle-to-vehicle link is solved
Figure BDA0003375095540000043
And
Figure BDA0003375095540000044
the specific process is as follows:
4a) initialization settings
Figure BDA0003375095540000045
Wherein
Figure BDA0003375095540000046
Is the maximum transmitting power on the vehicle-vehicle link and sets the precision parameter
Figure BDA0003375095540000047
4b) Judgment of
Figure BDA0003375095540000048
If yes, jumping to the step 4c), and if not, jumping to the step 4 i);
4c) computing
Figure BDA0003375095540000049
4d) Solving optimization problems through CVX toolkit
Figure BDA00033750955400000410
Figure BDA00033750955400000411
Figure BDA00033750955400000412
pc≥0；
Obtaining a transmit power pc；
4e) Judgment of
Figure BDA00033750955400000413
Wherein
Figure BDA00033750955400000414
The maximum transmitting power on the vehicle-base station link is obtained, if so, the 4f is skipped, and if not, the 4g is skipped);
4f) order to
Figure BDA00033750955400000415
Jump to 4 b);
4g) judgment of
Figure BDA00033750955400000416
If yes, jumping to 4h, and if not, jumping to 4 i);
4h) order to
Figure BDA0003375095540000051
Jump to 4 b);
4i) is provided with
Figure BDA0003375095540000052
Further, in the step E, the transmission power is judged
Figure BDA0003375095540000053
And
Figure BDA0003375095540000054
whether or not the following equation is satisfied
Vehicle-base station:
Figure BDA0003375095540000055
if the constraint condition is satisfied, calculating the transmission rate on the vehicle-base station link as follows:
Figure BDA0003375095540000056
if not, let Rc＝-∞。
The invention also aims to provide a robust power control system for uncertain channel state information in the internet of vehicles, which implements the robust power control method for uncertain channel state information in the internet of vehicles, wherein the internet of vehicles in the robust power control system for uncertain channel state information in the internet of vehicles comprises a vehicle-vehicle link and a vehicle-base station link, and the vehicle-vehicle link realizes communication by multiplexing frequency spectrum resources of the vehicle-base station link; the frequency spectrum resources on one vehicle-vehicle link can be only multiplexed on one vehicle-base station link, and the frequency spectrum resources of one vehicle-base station link can be only multiplexed by one vehicle-vehicle link;
assuming that the radius of the coverage area of the base station is 200 meters, the distance between a vehicle and the base station is randomly selected from 80 meters to 200 meters, the distance between the vehicle and the vehicle is randomly selected from 40 meters to 50 meters, and the SINR constraint is set as
Figure BDA0003375095540000057
And
Figure BDA0003375095540000058
it is another object of the present invention to provide a program storage medium for receiving a user input, the stored computer program causing an electronic device to execute the robust power control method including uncertain channel state information in internet of vehicles, comprising the steps of:
firstly, a base station needs to sample uncertain channel state information on a vehicle-vehicle link and learn a first moment and a second moment of the uncertain channel state information according to a sampling result;
constructing a robust equivalent vehicle-vehicle link convex constraint condition to equivalently replace a probability constraint condition which is difficult to solve before according to the learned moment information;
step three, calling a dichotomy to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link according to the obtained robust equivalence;
and fourthly, performing feasibility verification on the obtained transmitting power, and outputting a verified result.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the method for robust power control of uncertain channel state information in internet of vehicles when executed on an electronic device.
By combining all the technical schemes, the invention has the advantages and positive effects that: the invention learns the characteristics of the channel from the acquired channel state information without depending on the distribution characteristics of uncertain channel state information, so that the invention has the capability of deployment in different scenes. Meanwhile, the invention aims at the problem of power distribution on a spectrum resource multiplexing pair, so the invention can be easily combined with other subcarrier distribution schemes for use, and has good compatibility.
Drawings
Fig. 1 is a flowchart of a robust power control method for uncertain channel state information in the internet of vehicles according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a robust power control system for uncertain channel state information in the internet of vehicles according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an overall process of robust power control for uncertain channel state information in the internet of vehicles according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a power allocation procedure provided by an embodiment of the present invention.
Fig. 5 is a schematic diagram of the obtained power distribution results of the vehicle-base station link and the vehicle-vehicle link according to the embodiment of the present invention.
Fig. 6 is a schematic diagram of SINR distribution achieved by the vehicle-to-vehicle link according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a robust power control method and system for uncertain channel state information of the internet of vehicles, and the invention is described in detail below with reference to the accompanying drawings.
Ordinary technicians in the field of the robust power control method for uncertain channel state information in the internet of vehicles provided by the invention can also adopt other steps for implementation, and the robust power control method for uncertain channel state information in the internet of vehicles provided by the invention in fig. 1 is only a specific embodiment.
As shown in fig. 1, the robust power control method for uncertain channel state information in the internet of vehicles according to the embodiment of the present invention includes:
s101: the method comprises the steps that a base station firstly needs to sample uncertain channel state information on a vehicle-vehicle link and learn a first moment and a second moment of the uncertain channel state information according to a sampling result;
s102: constructing a robust equivalent vehicle-vehicle link convex constraint condition to equivalently replace a probability constraint condition which is difficult to solve before according to the learned moment information;
s103: according to the obtained robust peer, calling a dichotomy to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link;
s104: and then carrying out feasibility verification on the obtained transmitting power, and outputting a verified result.
As shown in fig. 2, in the robust power control system for uncertain channel state information in the car networking provided in the embodiment of the present invention, the car networking includes a car-to-car (V2V) link and a car-to-base station link (V2I), and the car-to-car link implements communication by multiplexing spectrum resources of the car-to-base station link; the frequency spectrum resources on one vehicle-vehicle link can be only multiplexed on one vehicle-base station link, and the frequency spectrum resources of one vehicle-base station link can be only multiplexed by one vehicle-vehicle link; assuming that the radius of the coverage area of the base station is 200 meters, the distance between a vehicle and the base station is randomly selected from 80 meters to 200 meters, the distance between the vehicle and the vehicle is randomly selected from 40 meters to 50 meters, and the SINR constraint is set as
Figure BDA0003375095540000071
And
Figure BDA0003375095540000072
as shown in fig. 3, the robust power control process for uncertain channel state information in the internet of vehicles according to the embodiment of the present invention specifically includes:
step A, initialization step
1a) By pcAnd pdRepresenting the transmit power over the vehicle-to-base station link and the vehicle-to-vehicle link;
1b) by gd、gc、gcd、gBTo represent the channel gains of the vehicle-vehicle link, the vehicle-base station link, the vehicle-vehicle interference link and the vehicle-base station interference link;
1c) for uncertain channel state g ═ gd,gcd]TN times of sampling are carried out, and the sample set is D ═ xi(1),ξ(2),…,ξ(N)}；
1d) Modeling the power allocation problem as
Figure BDA0003375095540000081
s.t train-base station:
Figure BDA0003375095540000082
vehicle-vehicle:
Figure BDA0003375095540000083
Figure BDA0003375095540000084
and B: learning the uncertain channel state;
learning first moment of uncertain channel state information
Figure BDA0003375095540000085
And second moment ∑
Figure BDA0003375095540000086
Figure BDA0003375095540000087
Wherein
Figure BDA0003375095540000088
And C: according to the learned first moment
Figure BDA0003375095540000089
And the second moment Σ information to construct a robust peer-to-peer expression for the vehicle-to-vehicle link:
Figure BDA00033750955400000810
where beta is a real number and Z is a three-dimensional symmetric matrix
Figure BDA0003375095540000091
Step D: solving the transmitting power on the vehicle-base station link and the vehicle-vehicle link according to the constraint condition of the vehicle-base station link and the robust equivalent expression of the vehicle-vehicle link
Figure BDA0003375095540000092
And
Figure BDA0003375095540000093
4a) initialization settings
Figure BDA0003375095540000094
Wherein
Figure BDA0003375095540000095
Is the maximum transmitting power on the vehicle-vehicle link and sets the precision parameter
Figure BDA0003375095540000096
4b) Judgment of
Figure BDA0003375095540000097
If yes, jumping to the step 4c), and if not, jumping to the step 4 i);
4c) computing
Figure BDA0003375095540000098
4d) Solving optimization problems through CVX toolkit
Figure BDA0003375095540000099
Figure BDA00033750955400000910
Figure BDA00033750955400000911
pc≥0；
Obtaining a transmit power pc；
4e) Judgment of
Figure BDA00033750955400000912
Wherein
Figure BDA00033750955400000913
The maximum transmitting power on the vehicle-base station link is obtained, if so, the 4f is skipped, and if not, the 4g is skipped);
4f) order to
Figure BDA00033750955400000914
Jump to 4 b);
4g) judgment of
Figure BDA00033750955400000915
If yes, jumping to 4h, and if not, jumping to 4 i);
4h) order to
Figure BDA00033750955400000916
Jump to 4 b);
4i) is provided with
Figure BDA00033750955400000917
Step E: determining transmission power
Figure BDA00033750955400000918
And
Figure BDA00033750955400000919
whether or not the following equation is satisfied
Vehicle-base station:
Figure BDA0003375095540000101
if the constraint condition is satisfied, calculating the transmission rate on the vehicle-base station link as follows:
Figure BDA0003375095540000102
if not, let Rc＝-∞。
Step F: output power distribution results
Figure BDA0003375095540000103
And Rc。
The technical scheme of the invention is described in detail in combination with simulation experiments.
Fig. 5 shows the power allocation result obtained by the power control strategy of the present method. As can be seen from the figure, the power control strategy of the present invention can quickly find the optimal solution. Fig. 6 illustrates the supposed SINR cumulative distribution of different resource allocation methods under uncertain channel state test set. It will be appreciated that a point on the curve with an abscissa of 1 may be considered as a probability of interruption of the vehicle-to-vehicle link communication. It can be found that the vehicle-vehicle link interruption probability under the non-lubang power control method is greater than 0.4. By protection operation, the robust power control method can effectively reduce the interruption probability of the vehicle-pull link.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. The robust power control method for the uncertain channel state information of the Internet of vehicles is characterized by comprising the following steps of:
firstly, a base station needs to sample uncertain channel state information on a vehicle-vehicle link and learn a first moment and a second moment of the uncertain channel state information according to a sampling result;
constructing a robust equivalent vehicle-vehicle link convex constraint condition to equivalently replace a probability constraint condition which is difficult to solve before according to the learned moment information;
step three, calling a dichotomy to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link according to the obtained robust equivalence;
and fourthly, performing feasibility verification on the obtained transmitting power, and outputting a verified result.
2. The robust power control method for the uncertain channel state information in the internet of vehicles according to claim 1, wherein the robust power control method for the uncertain channel state information in the internet of vehicles comprises the following specific processes:
step A: carrying out initialization;
and B: learning the uncertain channel state;
and C: according to the learned first moment
Figure FDA0003375095530000018
Constructing a robust equivalent expression of the vehicle-vehicle link by using the second moment sigma information;
step D: solving the transmitting power on the vehicle-base station link and the vehicle-vehicle link according to the constraint condition of the vehicle-base station link and the robust equivalent expression of the vehicle-vehicle link
Figure FDA0003375095530000011
And
Figure FDA0003375095530000012
step E: determining transmission power
Figure FDA0003375095530000013
And
Figure FDA0003375095530000014
whether the vehicle-base station link constraint condition is met:
Figure FDA0003375095530000015
step F: output power distribution results
Figure FDA0003375095530000016
Figure FDA0003375095530000017
And Rc。
3. The method for controlling the robustness power of the uncertain channel state information in the internet of vehicles according to claim 2, wherein the step a, the specific initialization process is as follows:
1a) by pcAnd pdRepresenting a car-baseTransmit power over station and vehicle-to-vehicle links;
1b) by gd、gc、gcd、gBTo represent the channel gains of the vehicle-vehicle link, the vehicle-base station link, the vehicle-vehicle interference link and the vehicle-base station interference link;
1c) for uncertain channel state g ═ gd,gcd]TN times of sampling are carried out, and the sample set is D ═ xi(1),ξ(2),…,ξ(N)}；
1d) Modeling the power allocation problem as
Figure FDA0003375095530000021
s.t train-base station:
Figure FDA0003375095530000022
vehicle-vehicle:
Figure FDA0003375095530000023
Figure FDA0003375095530000024
wherein
Figure FDA0003375095530000025
And
Figure FDA0003375095530000026
SINR requirements on the vehicle base station link and the vehicle-to-vehicle link, respectively.
4. The method for controlling the robustness power of the uncertain channel state information in the internet of vehicles according to claim 2, wherein the step B of learning the uncertain channel state comprises the following specific processes:
uncertain learningFirst moment of channel state information
Figure FDA0003375095530000027
And second moment ∑
Figure FDA0003375095530000028
Figure FDA0003375095530000029
Wherein
Figure FDA00033750955300000210
5. The method as claimed in claim 2, wherein in the step C, the uncertain channel state information robust power control method is performed according to a learned first moment
Figure FDA00033750955300000211
And the second moment Σ information to construct a robust peer-to-peer expression for the vehicle-to-vehicle link:
Figure FDA00033750955300000212
where beta is a real number and Z is a three-dimensional symmetric matrix
Figure FDA0003375095530000031
6. The method for robust power control of uncertain channel state information in internet of vehicles according to claim 2, wherein in step D, the constraint condition of vehicle-base station link and vehicle are used as basisRobust peer-to-peer representation of vehicle links, solving for the transmission power on vehicle-to-base station links and vehicle-to-vehicle links
Figure FDA0003375095530000032
And
Figure FDA0003375095530000033
the specific process is as follows:
4a) initialization settings
Figure FDA0003375095530000034
Wherein
Figure FDA0003375095530000035
Is the maximum transmitting power on the vehicle-vehicle link and sets the precision parameter
Figure FDA0003375095530000036
4b) Judgment of
Figure FDA0003375095530000037
If yes, jumping to the step 4c), and if not, jumping to the step 4 i);
4c) computing
Figure FDA0003375095530000038
4d) Solving optimization problems through CVX toolkit
Figure FDA0003375095530000039
Figure FDA00033750955300000310
Figure FDA00033750955300000311
pc≥0；
Obtaining a transmit power pc；
4e) Judgment of
Figure FDA00033750955300000312
Wherein
Figure FDA00033750955300000313
The maximum transmitting power on the vehicle-base station link is obtained, if so, the 4f is skipped, and if not, the 4g is skipped);
4f) order to
Figure FDA00033750955300000314
Jump to 4 b);
4g) judgment of
Figure FDA00033750955300000315
If yes, jumping to 4h, and if not, jumping to 4 i);
4h) order to
Figure FDA00033750955300000316
Jump to 4 b);
4i) is provided with
Figure FDA00033750955300000317
7. The method for robust power control of uncertain channel state information in internet of vehicles according to claim 2, wherein in step E, the transmission power is judged
Figure FDA0003375095530000041
And
Figure FDA0003375095530000042
whether or not the following equation is satisfied
Vehicle-base station:
Figure FDA0003375095530000043
if the constraint condition is satisfied, calculating the transmission rate on the vehicle-base station link as follows:
Figure FDA0003375095530000044
if not, let Rc＝-∞。
8. The Internet of vehicles uncertain channel state information robust power control system for implementing the Internet of vehicles uncertain channel state information robust power control method according to any one of claims 1 to 7 is characterized in that the Internet of vehicles in the Internet of vehicles uncertain channel state information robust power control system comprises a vehicle-vehicle link and a vehicle-base station link, and the vehicle-vehicle link realizes communication by multiplexing spectrum resources of the vehicle-base station link; the frequency spectrum resources on one vehicle-vehicle link can be only multiplexed on one vehicle-base station link, and the frequency spectrum resources of one vehicle-base station link can be only multiplexed by one vehicle-vehicle link;
the radius of the coverage area of the base station is 200 meters, the distance between a vehicle and the base station is randomly selected from 80 meters to 200 meters, the distance between the vehicle and the vehicle is randomly selected from 40 meters to 50 meters, and the SINR constraint is set as
Figure FDA0003375095530000045
And
Figure FDA0003375095530000046
9. a program storage medium for receiving user input, the stored computer program causing an electronic device to perform the robust power control method comprising uncertain channel state information in internet of vehicles of any of claims 1 to 7, the steps of:
firstly, a base station needs to sample uncertain channel state information on a vehicle-vehicle link and learn a first moment and a second moment of the uncertain channel state information according to a sampling result;
constructing a robust equivalent vehicle-vehicle link convex constraint condition to equivalently replace a probability constraint condition which is difficult to solve before according to the learned moment information;
step three, calling a dichotomy to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link according to the obtained robust equivalence;
and fourthly, performing feasibility verification on the obtained transmitting power, and outputting a verified result.
10. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the internet of vehicles uncertain channel state information robust power control method as claimed in claims 1 to 7 when executed on an electronic device.
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