CN114245344B - Robust power control method and system for uncertain channel state information of Internet of vehicles - Google Patents
Robust power control method and system for uncertain channel state information of Internet of vehicles Download PDFInfo
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- H—ELECTRICITY
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- 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]
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- 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
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Abstract
The invention belongs to the technical field of communication, and discloses a robust power control method and a system for uncertain channel state information of the Internet of vehicles, wherein the robust power control method for uncertain channel state information of the Internet of vehicles comprises the following steps: the base station firstly needs to sample the uncertain channel state information on the vehicle-vehicle link and learns the first moment and the second moment of the uncertain channel state information according to the sampling result; constructing a robust equivalent vehicle-to-vehicle link convex constraint condition according to the learned moment information to equivalently replace a probability constraint condition which is difficult to solve before; according to the obtained robust peer-to-peer, invoking 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 under different scenes, and is easy to be used together with other subcarrier allocation schemes, so that the invention has good compatibility.
Description
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 the Internet of vehicles.
Background
Currently, a car-to-base station and a car-to-car link are included in a car networking communication system. The car-to-car link communicates by multiplexing the spectrum resources of the car-to-base station link. In order to achieve the harmonious coexistence of the vehicle-base station link and the vehicle-vehicle link, the resources of different links are managed and controlled in a centralized manner by the base station. The precondition of the base station controlling the wireless resource is to fully acquire the channel state information on different links. However, the internet of vehicles is characterized by high mobility of the vehicle. Because the car-base station link and the base station are directly connected, the base station can accurately acquire the channel state information on the car-base station link. But the channel state information on the vehicle-vehicle link needs to be relayed for many times to reach the base station, that is, the feedback of the channel state information on the vehicle-vehicle link needs a certain time delay. Because of the high mobility characteristic 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 the 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 a communication link, so that the robust power control oriented to uncertain channel state information becomes very important.
Through the above analysis, the problems and defects existing in the prior art are as follows: the channel state information on the vehicle-vehicle link needs to be relayed for many times to reach the base station, and the feedback of the channel state information on the vehicle-vehicle link needs a certain time delay. Meanwhile, due to the high movement characteristic of the vehicle, when the base station acquires the channel state information of the vehicle-vehicle link, the position of the vehicle is changed, and the base station in the vehicle networking environment is easy to cause that the base station can hardly acquire the accurate channel state information of the vehicle-vehicle link; and the reliability of the communication link of the existing Internet of vehicles communication system cannot be guaranteed.
The difficulty of solving the problems and the defects is as follows: without accurate channel state information, the system can only establish a random power allocation problem. Typically, this random power allocation problem is an NP-hard problem, and it is also difficult for the power allocation solution obtained from solving this problem to meet the reliability constraints of the vehicle-to-vehicle link.
The meaning of solving the problems and the defects is as follows: by solving the problem, the invention can provide a near-practical robust power control strategy for the Internet of vehicles system, and can maximally save power resources in the system while meeting the reliability requirement of a vehicle-to-vehicle link.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a robust power control method and a robust power control system for uncertain channel state information of the Internet of vehicles. The invention solves the problem of power distribution in the vehicle networking system under the condition of high maneuver, and can obviously improve the robustness of the communication link in the vehicle networking system.
The invention is realized in such a way that the robust power control method for the uncertain channel state information of the Internet of vehicles comprises the following steps:
Firstly, a base station firstly needs to sample uncertain channel state information on a vehicle-vehicle link and learns first moment and second moment of the uncertain channel state information according to a sampling result;
Step two, constructing a robust equivalent vehicle-vehicle link convex constraint condition according to the learned moment information to equivalently replace a probability constraint condition which is difficult to solve before;
Step three, according to the obtained robust peer-to-peer, a dichotomy is called to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link;
And step four, carrying out feasibility verification on the obtained transmitting power, and outputting a verified result.
Further, the robust power control method for the uncertain channel state information of the Internet of vehicles comprises the following specific processes:
step A, initializing;
and (B) step (B): learning the uncertain channel state;
step C: constructing a robust peer-to-peer expression of the vehicle-to-vehicle link according to the learned first-order moment g and second-order moment sigma information;
Step D: solving the transmitting power of 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 And/>
Step E: determining transmit powerAnd/>Whether the following car-base station is satisfied: /(I)
Step F: output power allocation resultAnd R c.
Further, in the step a, the specific initializing process is as follows:
1a) The transmit power over the car-base station link and car-car link is denoted by p c and p d;
1b) G d、gc、gcd、gB is used for representing channel gains of a vehicle-vehicle link, a vehicle-base station link, a vehicle-vehicle interference link and a vehicle-base station interference link;
1c) The uncertain channel state g= [ g d,gcd]T ] is sampled N times, and the sample set is D= { ζ (1),ξ(2),…,ξ(N) };
1d) Modeling power allocation problems as
S.t car-base station:
Vehicle-vehicle: pr (Pr)
Further, in the step B, the uncertain channel state is learned, and the specific process is as follows:
learning first order moments of uncertain channel state information And a second moment of sigma
Wherein the method comprises the steps of
Further, in the step C, according to the learned first momentAnd second-order moment Σ information to construct a robust peer-to-peer expression for the car-to-car link:
Where β is a real number and Z is a three-dimensional symmetric matrix
Further, in the step D, the transmit power on the vehicle-base station link and the vehicle-vehicle link is solved according to the constraint condition of the vehicle-base station link and the robust peer-to-peer expression of the vehicle-vehicle linkAnd/>The specific process is as follows:
4a) Initializing settings Wherein/>Is the maximum transmitting power on the vehicle-vehicle link, and sets the precision parameter/>
4B) JudgingIf yes, jumping to step 4 c), if not, jumping to step 4 i);
4c) Calculation of
4D) Solving optimization problem through CVX toolkit
pc≥0；
Obtaining a transmitting power p c;
4e) Judging Wherein/>Maximum transmit power on the car-base station link, if yes, jump to 4 f), if not jump to 4 g);
4f) Order the Jump to 4 b);
4g) Judging If yes, jumping to 4h, if not, jumping to 4 i);
4h) Order the Jump to 4 b);
4i) Setting up
Further, in the step E, the transmit power is determinedAnd/>Whether or not to satisfy the following
Car-base station:
if the constraint condition is satisfied, the transmission rate on the computing vehicle-base station link is computed as:
If not, R c = - ≡is given.
Another object of the present invention is to provide a robust power control system for determining channel state information of a vehicle networking, where the robust power control system for determining channel state information of the vehicle networking includes a vehicle-vehicle link, a vehicle-base station link, and the vehicle-vehicle link implements communication by multiplexing spectrum resources of the vehicle-base station link; a car-car link can only multiplex spectrum resources on a car-base station link, and spectrum resources of a car-base station link can only be multiplexed by a car-car link;
Assuming that the radius of the coverage area of the base station is 200 meters, the distance between the vehicle and the base station is randomly valued between 80 meters and 200 meters, the distance between the vehicle and the workshop is randomly valued between 40 meters and 50 meters, and the SINR constraint is set as follows And/>
It is another object of the present invention to provide a storage medium for receiving a user input program, the stored computer program causing an electronic device to execute the robust power control method including internet of vehicles uncertain channel state information, comprising the steps of:
Firstly, a base station firstly needs to sample uncertain channel state information on a vehicle-vehicle link and learns first moment and second moment of the uncertain channel state information according to a sampling result;
Step two, constructing a robust equivalent vehicle-vehicle link convex constraint condition according to the learned moment information to equivalently replace a probability constraint condition which is difficult to solve before;
Step three, according to the obtained robust peer-to-peer, a dichotomy is called to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link;
And step four, carrying out 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 for implementing the described method of robust power control of internet of vehicles uncertain channel state information 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 that the invention is easy to be used together with other subcarrier distribution schemes, and has good compatibility.
Drawings
Fig. 1 is a flowchart of a robust power control method for uncertain channel state information of 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 of a vehicle networking according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of an overall process of robust power control of uncertain channel state information of the internet of vehicles according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a power allocation procedure according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of the obtained power distribution results on 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 of a vehicle-to-vehicle link implementation provided by an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Aiming at the problems existing in the prior art, the invention provides a robust power control method and a robust power control 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.
One of ordinary skill in the art of the method for controlling the robust power of the uncertain channel state information of the internet of vehicles provided by the invention can also adopt other steps to implement, and the method for controlling the robust power of the uncertain channel state information of the internet of vehicles provided by the invention of fig. 1 is only one specific embodiment.
As shown in fig. 1, the robust power control method for uncertain channel state information of the internet of vehicles provided by the embodiment of the invention includes:
s101: the base station firstly needs to sample the uncertain channel state information on the vehicle-vehicle link and learns the first moment and the second moment of the uncertain channel state information according to the sampling result;
s102: constructing a robust equivalent vehicle-to-vehicle link convex constraint condition according to the learned moment information to equivalently replace a probability constraint condition which is difficult to solve before;
s103: according to the obtained robust peer-to-peer, invoking 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 of the internet of vehicles provided by the embodiment of the invention, the internet of vehicles comprises an internet of vehicles (V2V) link and an internet of vehicles (V2I) base station link, and the internet of vehicles realize communication by multiplexing spectrum resources of the internet of vehicles and the base station link; a car-car link can only multiplex spectrum resources on a car-base station link, and spectrum resources of a car-base station link can only be multiplexed by a car-car link; assuming that the radius of the coverage area of the base station is 200 meters, the distance between the vehicle and the base station is randomly valued between 80 meters and 200 meters, the distance between the vehicle and the workshop is randomly valued between 40 meters and 50 meters, and the SINR constraint is set as followsAnd/>
As shown in fig. 3, the robust power control process of the uncertain channel state information of the internet of vehicles provided by the embodiment of the invention specifically includes:
Step A, initializing step
1A) The transmit power over the car-base station link and car-car link is denoted by p c and p d;
1b) G d、gc、gcd、gB is used for representing channel gains of a vehicle-vehicle link, a vehicle-base station link, a vehicle-vehicle interference link and a vehicle-base station interference link;
1c) The uncertain channel state g= [ g d,gcd]T ] is sampled N times, and the sample set is D= { ζ (1),ξ(2),…,ξ(N) };
1d) Modeling power allocation problems as
S.t car-base station:
vehicle-vehicle:
and (B) step (B): learning the uncertain channel state;
learning first order moments of uncertain channel state information And a second moment of sigma
Wherein the method comprises the steps of
Step C: according to the first moment learnedAnd second-order moment Σ information to construct a robust peer-to-peer expression for the car-to-car link:
Where β is a real number and Z is a three-dimensional symmetric matrix
Step D: solving the transmitting power of 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 linkAnd/>
4A) Initializing settingsWherein/>Is the maximum transmitting power on the vehicle-vehicle link, and sets the precision parameter/>
4B) JudgingIf yes, jumping to step 4 c), if not, jumping to step 4 i);
4c) Calculation of
4D) Solving optimization problem through CVX toolkit
pc≥0；
Obtaining a transmitting power p c;
4e) Judging Wherein/>Maximum transmit power on the car-base station link, if yes, jump to 4 f), if not jump to 4 g);
4f) Order the Jump to 4 b);
4g) Judging If yes, jumping to 4h, if not, jumping to 4 i);
4h) Order the Jump to 4 b);
4i) Setting up
Step E: determining transmit powerAnd/>Whether or not to satisfy the following
Car-base station:
if the constraint condition is satisfied, the transmission rate on the computing vehicle-base station link is computed as:
If not, R c = - ≡is given.
Step F: output power allocation resultAnd R c.
The technical scheme of the invention is described in detail below in connection with simulation experiments.
Fig. 5 shows the power allocation results 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 due SINR cumulative distributions for different resource allocation methods under an uncertain channel state test set. It will be appreciated that the point on the curve with the abscissa of 1 can be regarded as the outage probability of the vehicle-to-vehicle link communication. It can be found that the vehicle-to-vehicle link outage probabilities under non-Lu Bang power control methods are all greater than 0.4. Through the protection operation, the robust power control method can effectively reduce the breaking probability of the vehicle-to-vehicle link.
It should be noted that the embodiments of the present invention can be realized in 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 special purpose design hardware. Those of ordinary skill 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 as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The device of the present invention and its modules may be implemented by hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., as well as software executed by various types of processors, or by a combination of the above hardware circuitry and software, such as firmware.
The foregoing is merely illustrative of specific embodiments of the present invention, and the scope of the invention is not limited thereto, but any modifications, equivalents, improvements and alternatives falling within the spirit and principles of the present invention will be apparent to those skilled in the art within the scope of the present invention.
Claims (4)
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 firstly needs to sample uncertain channel state information on a vehicle-vehicle link and learns first moment and second moment of the uncertain channel state information according to a sampling result;
Step two, constructing a robust equivalent vehicle-vehicle link convex constraint condition according to the learned moment information to equivalently replace a probability constraint condition which is difficult to solve before;
Step three, according to the obtained robust peer-to-peer, a dichotomy is called to solve the transmitting power of the vehicle-base station link and the vehicle-vehicle link;
Step four, carrying out feasibility verification on the obtained transmitting power, and outputting a verified result;
the robust power control method for the uncertain channel state information of the Internet of vehicles comprises the following specific processes:
step A: initializing;
the specific initialization process comprises the following steps:
1a) The transmit power over the car-base station link and car-car link is denoted by p c and p d;
1b) G d、gc、gcd、gB is used for representing channel gains of a vehicle-vehicle link, a vehicle-base station link, a vehicle-vehicle interference link and a vehicle-base station interference link;
1c) The uncertain channel state g= [ g d,gcd]T ] is sampled N times, and the sample set is D= { ζ (1),ξ(2),…,ξ(N) };
1d) Modeling power allocation problems as
Wherein the method comprises the steps ofAnd/>SINR requirements on the car base station link and the car link respectively;
and (B) step (B): learning the uncertain channel state;
The specific process is as follows:
learning first order moments of uncertain channel state information And a second moment of sigma
Wherein the method comprises the steps of
Step C: according to the first moment learnedAnd second order moment Σ information to construct a robust peer-to-peer expression of the car-to-car link;
Where β is a real number and Z is a three-dimensional symmetric matrix
Step D: solving the transmitting power of 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 linkAnd/>
The specific process is as follows:
4a) Initializing settings Wherein/>Is the maximum transmitting power on the vehicle-vehicle link, and sets the precision parameter/>
4B) JudgingIf yes, jumping to step 4 c), if not, jumping to step 4 i);
4c) Calculation of
4D) Solving optimization problem through CVX toolkit
Z-Φ＞0,
pc≥0；
Obtaining a transmitting power p c;
4e) Judging Wherein/>Maximum transmit power on the car-base station link, if yes, jump to 4 f), if not jump to 4 g);
4f) Order the Jump to 4 b);
4g) Judging If yes, jumping to 4h, if not, jumping to 4 i);
4h) Order the Jump to 4 b);
4i) Setting up
Step E: determining transmit powerAnd/>Whether the car-base station link constraint is satisfied:
Car-base station:
if the constraint condition is satisfied, the transmission rate on the computing vehicle-base station link is computed as:
If not, let R c = - ≡;
step F: output power allocation result And R c.
2. An 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 claim 1, wherein the internet of vehicles in the internet of vehicles uncertain channel state information robust power control system comprises an internet of vehicles-vehicle link, an internet of vehicles-base station link, and the internet of vehicles-vehicle link realizes communication by multiplexing frequency spectrum resources of the internet of vehicles-base station link; a car-car link can only multiplex spectrum resources on a car-base station link, and spectrum resources of a car-base station link can only be multiplexed by a car-car link;
the radius of the coverage area of the base station is 200 meters, the distance between the vehicle and the base station is randomly valued between 80 meters and 200 meters, the distance between the vehicle and the workshop is randomly valued between 40 meters and 50 meters, and the SINR constraint is set as follows And/>
3. A program storage medium receiving user input, the stored computer program causing an electronic device to perform the steps of the internet of vehicles uncertain channel state information robust power control method according to claim 1.
4. A computer program product stored on a computer readable medium, comprising a computer readable program for, when executed on an electronic device, providing a user input interface to implement the internet of vehicles uncertain channel state information robust power control method according to claim 1.
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