CN112911664A - Low-orbit satellite switching method based on probability sorting - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0055—Transmission or use of information for re-establishing the radio link
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- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
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Abstract
The invention relates to the field of low-orbit satellite communication systems, and discloses a low-orbit satellite switching method based on probability sorting, which comprises the following steps: s1, the user or satellite moves to reduce the communication elevation angle and the channel quality is deteriorated, i.e. a satellite handover is started. And S2, collecting the key information parameters of the low-orbit satellite covering the current user, including the distance of the satellite, the signal strength of the satellite, the communication coverage time of the satellite, the current load of the satellite and the propagation path length of the satellite. And S3, establishing a probability sequencing prediction model according to the collected low-orbit satellite information covering the current user. And S4, solving the probability ordering prediction model of the low orbit satellite by using a multiple linear regression equation to obtain the optimal sequence of the switched satellites. The low-orbit satellite switching method based on probability sorting solves the problem that the prior art can not effectively perform optimal selection on low-orbit satellite switching, optimizes the utilization rate of satellite channel resources and improves the communication quality of a low-orbit satellite communication network.
Description
Technical Field
The present invention relates to the field of low-earth-orbit satellite communication networks, and more particularly, to a method for switching to a low-earth-orbit satellite.
Background
Because the motion between the low earth orbit satellite constellation and the users of the ground mobile satellite is high-speed and random, the inter-satellite links in the low earth orbit satellite constellation will also change along with the operation of the satellite. However, the requirements of the ground earthquake users on the signal quality need to have stability, periodicity and regularity, and meanwhile, because the loads of the single satellite transponders also have differences, a reliable and efficient method for realizing the switching of different satellites to ensure the link communication quality is urgently needed, and a low-orbit satellite switching method based on probability sorting is widely concerned in the industry.
During link communications of a mobile subscriber of a low-orbit satellite communications network, the time that the satellite is visible to the mobile subscriber is short due to the high-speed motion of the low-orbit satellite relative to the mobile subscriber. As the elevation of communication between the mobile user satellite antenna and the low earth orbit satellite decreases, the distance between the user and the satellite increases, resulting in a gradual degradation of the channel quality or even an inability to communicate. At this time, the connection relationship between the user and the satellite must be switched, and the user needs to select from a plurality of satellites covering the user. The switching may occur in a link establishment stage or in a link establishment communication process, and in any case, the selection of the satellite is required, so that the problem that the low-orbit satellite switching method based on probability sorting can be effectively solved.
Disclosure of Invention
The invention aims to provide a low-orbit satellite switching method based on probability sequencing, which obtains the optimal selection for low-orbit satellite switching by performing probability sequencing on all satellites in a region where the low-orbit satellite covers a mobile user.
The technical purpose of the invention is realized by the following technical scheme: a low-orbit satellite switching method based on probability sorting comprises the following steps:
first, the user or satellite movement causes the elevation of the communication to decrease, and the channel quality to deteriorate, i.e., a satellite handoff is initiated. And then collecting the key information parameters of the low-orbit satellite covering the current user, wherein the key information parameters comprise the satellite distance, the signal strength of the satellite, the communication coverage time of the satellite, the current load of the satellite and the propagation path length of the satellite. Then, a probability ranking prediction model is established according to the collected information. And finally, solving the probability sequencing prediction model of the low orbit satellite by using a multiple linear regression equation to obtain the optimal sequence of switching the satellites.
Optionally, a collecting coverThe method comprises the following steps of covering the key information parameters of the low-orbit satellite of a current user, including the satellite distance, the signal intensity of the satellite, the communication coverage time of the satellite, the current load of the satellite and the propagation path length of the satellite: using the sorting utility function y to the ith satellite in the n satellites covering the current useri(x) Is described, wherein
And influence yi(x) The number of the parameters of the value is x, namely the satellite distance x1Signal strength x of satellite2Communication coverage time x of satellite3Current load of satellite x4And propagation path length x of the satellite5. The weight of 5 parameters, denoted q, is the satellite distance weight q1Weight q of signal strength of satellite2Communication coverage time weight q of satellite3Weight q of current load of satellite4And propagation path length weight q of satellite5。
Optionally, the specific model is: ranking utility function y of the ith satellite among the n satellites covering the current useri(x) Is described, wherein
The key information parameters of n satellites covering the current user are in linear correlation, and the multivariate regression mathematical model of the ranking utility function y of the satellite can be expressed as: q is1x1+q2x2+q3x3+q4x4+q5x5Then the key information parameter of the ith satellite of the n satellites covering the current user is (x)1i，x2i，x3i，x4i，x5i) In the formula, the first lower subscript of the key information parameter x is the serial number of the satellite, the second lower subscript is the serial number of the key information parameter, and then the mathematical model of n satellites is
Optionally, the low-orbit satellite has the key information parameters of the low-orbit satellite covering the current user in continuous variation due to the relatively high-speed movement of the user and the satellite, but the variation rule is related to the time t and has a linear relationship, so that a plurality of possible values of the key information parameters can be given according to the satellite distance x1For example, at the current time t, along with the trend of increasing or decreasing distance, possible m values are [ x ]1]1，[x1]2，[x1]3，[x1]4……[x1]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Since the satellite distance x cannot be determined1An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, satellite signal strength x2The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal intensity is increased or decreased, the possible m values are [ x ]2]1，[x2]2，[x2]3，[x2]4……[x2]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Since the satellite signal strength x cannot be determined2An accurate probability figure, and therefore its expected value cannot be accurately calculated. But we canAnd (4) obtaining the possible value range of the expected value E according to the m possible values and the magnitude sequence of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, satellite communication coverage time x3The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal intensity is increased or decreased, the possible m values are [ x ]3]1，[x3]2，[x3]3，[x3]4……[x3]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Because the satellite communication coverage time x can not be determined3An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
pj-pj+1≥0，pj≥0(j＝1，2，3...，m)
optionally, the current satellite load x4The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal load becomes larger or smaller, the possible m values are [ x ]4]1，[x4]2，[x4]3，[x4]4……[x4]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Because the satellite communication coverage time x can not be determined4An accurate probability figure, and therefore its expected value cannot be accurately calculated. But we can pass through m possible occurrences of the valueAnd calculating the possible value range of the expected value E according to the numerical value occurrence probability and the numerical value occurrence probability. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
alternatively, the satellite propagation path x5The value taking is also calculated by adopting an expected value, and at the current t moment, along with the trend that the satellite propagation path becomes larger or smaller, the possible m values are [ x ]5]1，[x5]2，[x5]3， [x5]4……[x5]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Because the satellite communication coverage time x can not be determined5An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, calculating to obtain (x)1，x2，x3，x4，x5) According to the design requirements of the system, determining the weight value (q)1，q2，q3，q4，q5) Q if five key parameters are considered simultaneously1＝q2＝q3＝q4＝q51, if a factor is not considered, q isi0(i is 1, 2, 3, 4, 5). Is calculated to obtain (y)1，y2，y3……yn) And sequencing the values, and switching the low-orbit satellite according to the sequencing result.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a low earth orbit satellite handover method based on probability ranking.
Figure 2 is a schematic diagram of a low earth orbit satellite coverage mobile subscriber.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The technical purpose of the invention is realized by the following technical scheme: a method for switching low-earth orbit satellites based on probability ranking, as shown in fig. 1, comprising the following steps:
first, the user or satellite movement causes the elevation of the communication to decrease, and the channel quality to deteriorate, i.e., a satellite handoff is initiated. And then collecting the key information parameters of the low-orbit satellite covering the current user, wherein the key information parameters comprise the satellite distance, the signal strength of the satellite, the communication coverage time of the satellite, the current load of the satellite and the propagation path length of the satellite. Then, a probability ranking prediction model is established according to the collected information. And finally, solving the probability sequencing prediction model of the low orbit satellite by using a multiple linear regression equation to obtain the optimal sequence of switching the satellites.
Optionally, as shown in fig. 2, the method for collecting the low-earth orbit satellite key information parameters covering the current user includes a satellite distance, a satellite signal strength, a satellite communication coverage time, a satellite current load, and a satellite propagation path length, and includes: using the sorting utility function y to the ith satellite in the n satellites covering the current useri(x) Is described, wherein
And influence yi(x) The number of the parameters of the value is x, namely the satellite distance x1Signal strength x of satellite2Communication coverage time x of satellite3Current load of satellite x4And propagation path length x of the satellite5. The weight of 5 parameters, denoted q, is the satellite distance weight q1Weight q of signal strength of satellite2Satellite communicationSignal-covered time weight q3Weight q of current load of satellite4And propagation path length weight q of satellite5。
Optionally, the specific model is: ranking utility function y of the ith satellite among the n satellites covering the current useri(x) Is described, wherein
The key information parameters of n satellites covering the current user are in linear correlation, and the multivariate regression mathematical model of the ranking utility function y of the satellite can be expressed as: q is1x1+q2x2+q3x3+q4x4+q5x5Then the key information parameter of the ith satellite of the n satellites covering the current user is (x)1i，x2i，x3i，x4i，x5i) In the formula, the first lower subscript of the key information parameter x is the serial number of the satellite, the second lower subscript is the serial number of the key information parameter, and then the mathematical model of n satellites is
Optionally, the low-orbit satellite has the key information parameters of the low-orbit satellite covering the current user in continuous variation due to the relatively high-speed movement of the user and the satellite, but the variation rule is related to the time t and has a linear relationship, so that a plurality of possible values of the key information parameters can be given according to the satellite distance x1For example, at the current time t, along with the trend of increasing or decreasing distance, possible m values are [ x ]1]1，[x1]2，[x1]3，[x1]4……[x1]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Since the satellite distance x cannot be determined1An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, satellite signal strength x2The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal intensity is increased or decreased, the possible m values are [ x ]2]1，[x2]2，[x2]3，[x2]4……[x2]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Since the satellite signal strength x cannot be determined2An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, satellite communication coverage time x3The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal intensity is increased or decreased, the possible m values are [ x ]3]1，[x3]2，[x3]3，[x3]4……[x3]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Because the satellite communication coverage time x can not be determined3An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, the current satellite load x4The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal load becomes larger or smaller, the possible m values are [ x ]4]1，[x4]2，[x4]3，[x4]4……[x4]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Because the satellite communication coverage time x can not be determined4An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
alternatively, the satellite propagation path x5The value taking is also calculated by adopting an expected value, and at the current t moment, along with the trend that the satellite propagation path becomes larger or smaller, the possible m values are [ x ]5]1，[x5]2，[x5]3， [x5]4……[x5]m(ii) a The probability of correct value is p1，p2，p3，p4……pm. Since there is noMethod for determining satellite communication coverage time x5An accurate probability figure, and therefore its expected value cannot be accurately calculated. However, the possible value range of the expected value E can be obtained by m possible occurrence values and the magnitude order of the occurrence probability of the values. Therefore, using the expected value as the predicted parameter value is a more accurate method. Then the process of the first step is carried out,
optionally, calculating to obtain (x)1，x2，x3x4，x5) According to the design requirements of the system, determining the weight value (q)1，q2，q3，q4，q5) Q if five key parameters are considered simultaneously1＝q2＝q3＝q4＝q51, if a factor is not considered, q isi0(i is 1, 2, 3, 4, 5). Is calculated to obtain (y)1，y2，y3……yn) And sequencing the values, and switching the low-orbit satellite according to the sequencing result.
In conclusion, the invention has the following beneficial effects: the low-orbit satellite switching method based on probability sorting solves the problem that the prior art can not effectively perform optimal selection on low-orbit satellite switching, optimizes the utilization rate of satellite channel resources and improves the communication quality of a low-orbit satellite communication network.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (9)
1. A low-orbit satellite switching method based on probability sorting comprises the following steps:
s1, the movement of the user or the satellite causes the elevation angle of the communication to be reduced, the channel quality is deteriorated, and the satellite switching is started;
s2, collecting key information parameters of the low-orbit satellite covering the current user, wherein the key information parameters comprise the satellite distance, the signal intensity of the satellite, the communication coverage time of the satellite, the current load of the satellite and the propagation path length of the satellite;
s3, establishing a probability sequencing prediction model according to the collected information;
and S4, solving the probability ordering prediction model of the low orbit satellite by using a multiple linear regression equation to obtain the optimal sequence of the switched satellites.
2. The method of claim 1, wherein the parameters of the key information of the low-earth orbit satellite covering the current user are collected, and comprise the distance of the satellite, the signal strength of the satellite, the communication coverage time of the satellite, the current load of the satellite and the propagation path length of the satellite, and the method comprises the following steps:
using the sorting utility function y to the ith satellite in the n satellites covering the current useri(x) Is described, wherein
And influence yi(x) The number of the parameters of the value is x, namely the satellite distance x1Signal strength x of satellite3Communication coverage time x of satellite3Current load of satellite x4And propagation path length x of the satellite5The weight of 5 parameters, denoted q, is the satellite distance weight q1Weight q of signal strength of satellite2Communication coverage time weight q of satellite3Weight q of current load of satellite4And propagation path length weight q of satellite5。
3. The method of claim 2, wherein the step of building a probabilistic predictive model based on the collected information comprises:
ranking utility function y of the ith satellite among the n satellites covering the current useri(x) Come and drawWherein, wherein
The key information parameters of n satellites covering the current user are in linear correlation, and the multivariate regression mathematical model of the ranking utility function y of the satellite can be expressed as: q is1x1+q2x2+q3x3+q4x4+q5x5Then the key information parameter of the ith satellite of the n satellites covering the current user is (x)1i，x2i，x3i，x4i，x5i) In the formula, the first lower subscript of the key information parameter x is the serial number of the satellite, the second lower subscript is the serial number of the key information parameter, and then the mathematical model of n satellites is
If order
The ranking utility function multiple regression linear model for n satellites can be rewritten as: y ═ QX.
4. The method of claim 3, wherein the probability-ordered prediction model for low earth orbit satellites is solved by using multiple linear regression equations, and comprises:
because of the relative high-speed movement of the user and the satellite, the key information parameters of the low-orbit satellite covering the current user are constantly changed, but the change rule is related to the time t and has a linear relation, so that a plurality of possible values of the key information parameters can be given according to the satellite distance x1For example, at the current time t, along with the trend of increasing or decreasing distance, possible m values are [ x ]1]1，[x1]2，[x1]3，[x1]4……[x1]m(ii) a The probability of correct value is p1，p2，p3，p4……pm(ii) a Since the satellite distance x cannot be determined1The expected value cannot be accurately calculated due to accurate probability figures, but the possible value range of the expected value E can be obtained through m possible numerical values and the magnitude sequence of the occurrence probabilities of the numerical values, so that the expected value is used as a predicted parameter value, a more accurate method is provided, and then,
5. the method of claim 3, wherein the probability-ordered prediction model for low earth orbit satellites is solved by using multiple linear regression equations, and comprises:
satellite signal strength x2The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal intensity is increased or decreased, the possible m values are [ x ]2]1，[x2]2，[x2]3，[x2]4……[x2]m(ii) a The probability of correct value is p1，p2，p3，p4……pmSince the satellite signal strength x cannot be determined2The expected value cannot be accurately calculated due to accurate probability figures, but the possible value range of the expected value E can be obtained through m possible numerical values and the magnitude sequence of the occurrence probabilities of the numerical values, so that the expected value is used as a predicted parameter value, a more accurate method is provided, and then,
6. the method of claim 3, wherein the probability-ordered prediction model for low earth orbit satellites is solved by using multiple linear regression equations, and comprises:
satellite communication coverage time X3The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal intensity is increased or decreased, the possible m values are [ x ]3]1，[x3]2，[x3]3，[x3]4……[x3]m(ii) a The probability of correct value is p1，p2，p3，p4……pmSince the satellite communication coverage time x cannot be determined3The expected value cannot be accurately calculated due to accurate probability figures, but the possible value range of the expected value E can be obtained through m possible numerical values and the magnitude sequence of the occurrence probabilities of the numerical values, so that the expected value is used as a predicted parameter value, a more accurate method is provided, and then,
7. the method of claim 3, wherein the probability-ordered prediction model for low earth orbit satellites is solved by using multiple linear regression equations, and comprises:
satellite current load x4The value is also calculated by adopting an expected value, and at the current t moment, along with the trend that the signal load becomes larger or smaller, the possible m values are [ x ]4]1，[x4]2，[x4]3，[x4]4……[x4]m(ii) a The probability of correct value is p1，p2，p3，p4……pmSince the satellite communication coverage time x cannot be determined4The exact probability figure, and therefore the expected value, cannot be calculated exactly, but we can pass the m numbers that can occurThe value and the order of the occurrence probability of the values are used for obtaining the possible value range of the expected value E, so that the expected value is used as the predicted parameter value, the method is more accurate, and then,
8. the method of claim 3, wherein the probability-ordered prediction model for low earth orbit satellites is solved by using multiple linear regression equations, and comprises:
satellite propagation path x5The value taking is also calculated by adopting an expected value, and at the current t moment, along with the trend that the satellite propagation path becomes larger or smaller, the possible m values are [ x ]5]1，[x5]2，[x5]3，[x5]4……[x5]m(ii) a The probability of correct value is p1，p2，p3，p4……pmSince the satellite communication coverage time x cannot be determined5The expected value cannot be accurately calculated due to accurate probability figures, but the possible value range of the expected value E can be obtained through m possible numerical values and the magnitude sequence of the occurrence probabilities of the numerical values, so that the expected value is used as a predicted parameter value, a more accurate method is provided, and then,
9. the method of claim 1, wherein the model is obtained by solving probability-ordered prediction of low earth orbit satellites using multiple linear regression equations:
the calculation of (x) according to claim 4, 5, 6, 7, 81，x2，x3，x4，x5) According to the design requirements of the system, determining the weight value (q)1，q2，q3，q4，q5) Q if five key parameters are considered simultaneously1＝q2＝q3＝q4＝q51, if a factor is not considered, q isi(y) is calculated as 0(i is 1, 2, 3, 4, 5)1，y2，y3……yn) And sequencing the values, and switching the low-orbit satellite according to the sequencing result.
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| CN115426033A (en) * | 2022-11-03 | 2022-12-02 | 中国电子科技集团公司第二十八研究所 | Community queue control method based on Sarsa algorithm |
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