CN114142907B - Channel screening optimization method and system for communication terminal equipment - Google Patents
Channel screening optimization method and system for communication terminal equipment Download PDFInfo
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- CN114142907B CN114142907B CN202111044458.3A CN202111044458A CN114142907B CN 114142907 B CN114142907 B CN 114142907B CN 202111044458 A CN202111044458 A CN 202111044458A CN 114142907 B CN114142907 B CN 114142907B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18519—Operations control, administration or maintenance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a channel screening optimization method and a system of communication terminal equipment, wherein a plurality of satellites and a plurality of ground base stations are networked, and when a new terminal is accessed, the channel screening is carried out on the new access terminal occupied by resource competition during data transmission, and the method comprises the following steps: acquiring wireless radio frequency channel signals of multiple ground base stations; performing virtual channel transmission matrix mapping on virtual partitions of the ground base station based on respective data tasks of the original satellite to obtain an information source coding matrix and a channel coding matrix; on the basis, the condition that the modulus of the signal transmission capacity of the wireless radio frequency channel is smaller than the maximum receiving power of the virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum is taken as the condition; realizing dynamic screening of virtual partitions and channel primary screening; and acquiring the arranged priority according to the dynamic parameters, and combining with other terminals according to the priority to realize fine screening of the channel. The method is used for solving the problem of balanced switching between the satellite and the ground station when the resources are limited in the prior art, and improving the effective utilization rate of satellite communication resources.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a channel screening optimization method and a channel screening optimization system for communication terminal equipment.
Background
The satellite communication system mainly comprises a satellite end, a ground end and a user end, wherein the satellite end plays a role of a relay station in the air, namely electromagnetic waves sent by the ground station are amplified and then returned to another ground station, the ground station is an interface of the satellite system and a ground public network, and the ground user end can also enter and exit the satellite system through the ground station to form a link.
In the practical application process, one satellite may communicate with multiple ground stations at the same time, and multiple satellites may also communicate with the same ground station at the same time, so that it is difficult to achieve a balanced handoff between the satellite and the ground station under the condition that the satellite communication resources are limited.
Disclosure of Invention
The application provides a channel screening optimization method and a channel screening optimization system for communication terminal equipment, which are used for overcoming the defect of poor balance of switching between a satellite and a ground station in the prior art, and the balance of switching between the satellite and the ground station is enhanced on the one hand and the effective utilization rate of satellite communication resources is improved on the other hand by screening and optimizing the channel by the satellite communication terminal equipment.
In order to achieve the above object, the present application provides a channel screening and optimizing method for a communication terminal device, where a plurality of satellites are independently networked with a plurality of ground base stations, respectively, and when a new satellite and/or a terminal accesses a network, channel screening and optimizing are performed for the new access satellite and/or the terminal having resource competition during data transmission, where the channel screening and optimizing method includes:
acquiring a plurality of wireless radio frequency channel signals of a plurality of ground base stations;
performing virtual partitioning on a ground base station based on respective data tasks of satellites of an original access network, performing virtual channel transmission matrix mapping, obtaining an information source coding matrix and forming a channel coding matrix;
based on the source coding matrix and the channel coding matrix, the conditions that the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum are taken as conditions; dynamic screening of virtual partitions and preliminary screening of wireless radio frequency channels of ground base stations in the virtual partitions are achieved;
the specific method for dynamically screening the virtual partition and preliminarily screening the wireless radio frequency channel of the ground base station in the virtual partition comprises the steps of obtaining a relation model between signal-to-noise ratio strength and a signal source coding matrix corresponding to a terminal based on a relation model between a received signal F of the terminal and radio frequency signal transmitting power of the terminal, signal background noise strength of the terminal, the signal source coding matrix corresponding to the terminal, a coding matrix of a base station and Gaussian white noise signal strength, obtaining a limit condition met by transmission capacity by combining Shannon's theorem, and adjusting channel capacity by adjusting a capacity coefficient so as to realize data throughput with optimal channel capacity;
and obtaining the priority according to the dynamic parameters, and optimally combining the priority with other satellites and/or terminals to realize the optimal screening of the wireless radio frequency channels of the ground base station in the virtual partition.
By adopting the technical scheme, if the satellite or the terminal which is newly accessed to the autonomous networking network does not have resource competition occupation, the data can be normally transmitted, if the resource competition exists, the method is adopted based on each satellite or terminal which is newly accessed to the network, firstly, the ground base station which can establish connection is obtained, possibly, the method is not unique, and a plurality of wireless radio frequency channel signals can be simultaneously obtained for each connected ground base station; according to respective data transmission tasks of an original network-accessing satellite and/or a terminal, performing virtual partitioning on a ground base station to obtain a source coding matrix of a newly-accessed satellite and/or a newly-accessed terminal; obtaining a channel coding matrix through virtual channel transmission matrix mapping, dynamically selecting the virtual partition on the condition that a mode of transmission capacity of a wireless radio frequency channel signal is smaller than a maximum receiving power of a virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum according to a relation model between an information source coding matrix and radio frequency transmitting frequency, a base station coding matrix and the channel coding matrix (noise signal strength), and queuing newly accessed terminal users in this way to realize rough screening of the channel; and finally, carrying out priority arrangement according to the dynamic parameters of the terminal, and optimally combining with other satellites and/or terminals according to the priority to realize accurate screening and optimization of channels. Compared with the related technology, the terminal of the scheme of the application realizes dynamic selection of the access terminal by screening the virtual partitions, thereby reducing unsmooth data throughput caused by congestion of the virtual partitions and enhancing the switching balance between the satellite and the ground station; on the other hand, the accurate screening of the terminal on the channel is based on the combination and optimization of the sequence of the actual requirements reflected by the respective dynamic parameters, and the effective utilization rate of satellite communication resources is improved on the basis of completing task transmission.
Optionally, after the step of obtaining a plurality of radio frequency channel signals of a plurality of ground base stations, the method further includes:
according to the channel conditions, carrying out label classification on the multiple radio frequency channel signals to obtain classification labels;
the step of obtaining the source coding matrix and the channel coding matrix comprises:
performing clustering decomposition on the classification labels to obtain a clustering feature matrix;
respectively mapping the clustering characteristic matrixes by virtual channel transmission matrixes to obtain source coding matrixes and form channel coding matrixes;
by adopting the technical scheme, label classification is carried out on a plurality of wireless radio frequency channel signals based on channel conditions such as power, frequency band, transmission speed, capacity, time delay, intersymbol interference and the like of a channel to obtain a classification label, and clustering decomposition is carried out on the channel signals with the classification label to obtain a clustering characteristic matrix; and performing channel transmission matrix mapping on the clustering characteristic matrix based on the virtual partitioned wireless radio frequency channel to obtain an information source coding matrix, and further forming a channel coding matrix. Through channel transmission matrix mapping, the mapping precision of the transmission level of the terminal signal in the receiving process is improved, and the effective utilization of the signal uploading bandwidth is realized.
Optionally, the step of dynamically screening the virtual partition includes:
acquiring the minimum influence power of the newly accessed satellite on other satellites in the access network;
acquiring the optimal number of access satellites in real time;
obtaining a selection parameter according to a parameter model formed by the optimal access satellite number, the minimum influence power and the minimum channel number of the corresponding base station;
based on the obtained selection parameters, the selection parameters are adjusted on the condition that the modulus of the transmission capacity of the wireless radio frequency channel signals is smaller than the maximum receiving power of the virtual subarea and the signal-to-noise ratio strength of the wireless radio frequency channel signals is minimum, and the virtual subareas are selected.
By adopting the technical scheme, the dynamic selection of the virtual partition can be realized by adjusting the number of the terminals accessing the network in real time and taking the minimum power influence and the minimum interference influence on other satellites or terminals as conditions, so that the maximization of the network resource utilization is promoted.
Optionally, the step of primarily screening the radio frequency channels of the ground base stations in the virtual partition includes:
comparing the power of the ground base stations in all the virtual partitions with the obtained minimum influence power;
screening out the virtual partitions with the power larger than the minimum influence power;
adjusting the selected parameters according to the parameter model;
and obtaining the channel corresponding to the virtual partition based on the adjusted selection parameter.
By adopting the technical scheme, the base station of the selected virtual partition can be in the operating state to the minimum extent when the power of the virtual partition is greater than the minimum influence power; and the coarse screening of the optimal channel is realized by adjusting the channel selection parameters.
Optionally, the step of preliminarily screening the radio frequency channels of the ground base stations in the virtual partition further includes:
effectively screening the current channel through a parameter model;
and when the power of the satellite in the active state is lower than the minimum influence power, confirming that the current channel is in the redundant state.
By adopting the technical scheme, the current channel is effectively screened through the model, and the active satellite is screened as the object mainly participating in power calculation, so that the screening efficiency is improved.
Optionally, the dynamic parameters include:
real-time parameters;
a power parameter;
the amount of data;
the distance between the star and the ground;
satellite elevation;
a satellite attitude; and/or
A wireless radio frequency channel state;
and weighting each dynamic parameter, calculating the weight of each terminal and each channel according to the dynamic parameters, and sequencing the priority according to the weight.
By adopting the technical scheme, weighting is carried out on each dynamic parameter, the weight of each terminal and the weight of each channel are calculated according to the weighting of the dynamic parameters, priority ordering is respectively carried out on the weights of the terminals and the channels, and the channel with the highest weight is configured to the terminal with the highest weight; realizing the optimized selection of the primary screening channel; further, the optimization of resource allocation is improved, and the effective utilization rate of network resources is improved.
Optionally, the method further includes:
and when the data volume of the newly accessed satellite is smaller than the lower limit of the data volume threshold, splicing the data of other satellites accessed to the network into a data frame.
By adopting the technical scheme, the transmitted data frames are flexibly combined by combining with the actual condition, so that the satellite data transmission efficiency is improved on one hand, and the channel utilization rate is improved on the other hand.
Optionally, the method further includes:
when the data volume of the newly accessed satellite is larger than the upper limit of the data volume threshold, compressing and caching the transmission data;
mapping the cached compressed data to a plurality of screened virtual channels.
By adopting the technical scheme, the transmitted data frames are flexibly combined by combining with the actual condition, so that the satellite data transmission efficiency is improved on one hand, and the channel utilization rate is improved on the other hand.
Optionally, the method further includes: further comprising:
when more than two satellites transmit the same kind of signals, the same kind of signals are collected by adopting edge calculation; or data compression is carried out;
and after being converged by adopting a ground relay, the channels are transmitted in a planet way.
By adopting the technical scheme, the transmission rate of the combined satellite is lower than that of the ground, and the capacity is small. Therefore, the data volume transmitted between the satellites and the ground is compressed as much as possible, the data transmission volume between the satellites and the ground can be reduced by adopting data labels and the like, and the transmission efficiency is improved. The relay can collect a plurality of signals with close distances to the relay station by using ground short-distance communication (Bluetooth, wifi and the like), then remove redundant information or carry out information (screening process) after edge calculation processing, and finally obtain information which is transmitted in a planet way through the relay station, so that the transmission efficiency can be improved.
In order to achieve the above object, the present application further provides a channel screening optimization system for a communication terminal device, including:
a memory storing a channel screening optimization program;
a processor for executing the steps of the method when running the channel screening optimization program.
By adopting the technical scheme, when the processor executes the steps of the method, the technical effects of optimizing the configuration of the network resources and improving the utilization rate of the network resources can be realized based on the actual situation.
The application provides a channel screening optimization and system of communication terminal equipment, has following comprehensive technological effect:
through channel transmission matrix mapping, the mapping precision of the transmission level of the terminal signal in the receiving process is improved, and the effective utilization of the signal uploading bandwidth is realized.
Through the process of partition selection of the virtual satellite, dynamic selection of an access satellite can be realized, so that the problem of unsmooth data throughput caused by virtual partition congestion is reduced;
by capacity expansion, the reachable bandwidth can be expanded to the maximum extent when a signal is accessed to a network, and the problem of reduced user experience caused by unsmooth bandwidth is solved;
when the same kind of signals are transmitted, the signals of the satellite terminal can be converted or extracted into the signals which can be identified by the satellite through the densification of the access signals, and the signals are processed in a digital mode, so that the processing efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a flowchart of a channel screening optimization method of a communication terminal device in an embodiment of the present application.
Fig. 2 is a flowchart of the method of step S310 in the embodiment of the present application.
Fig. 3 is a flowchart of the method of step S320 in the embodiment of the present application.
Fig. 4 is a flowchart of a method of step S400 in the embodiment of the present application.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The invention is described in further detail below with reference to figures 1-4.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Example one
As shown in fig. 1, this embodiment provides a channel screening and optimizing method for a communication terminal device, where the method is applicable to the following hardware scenarios: the plurality of satellites are independently networked with the plurality of ground base stations respectively, when a new satellite and/or a terminal is accessed into the network which is automatically established, channel screening and channel optimization are carried out on the new accessed satellite and/or the terminal with resource competition when data are transmitted, so that the effective rate of resources is improved, the data transmission rate between the satellite and/or the terminal and the ground base stations is improved under the effective resource condition, and the user experience is improved. It should be noted that, when accessing the network, the new terminal is random and randomly accesses after performing the anti-collision calculation.
The method comprises the following steps:
s100, acquiring a plurality of wireless radio frequency channel signals of a plurality of ground base stations;
in an embodiment of the present application, 4G or 5G network signal communication is adopted between a communication terminal device and a ground base station (including a satellite and any form of user terminal), joint base station transmission of a terminal data download link is realized based on a virtual partition mode, that is, for each satellite, it is possible that data transmission can be completed only by cooperation of a plurality of ground base stations, if there are M virtual partition base stations in a mixed configuration state in the entire networking system, the number of terminal nodes accessed is N, for any virtual partition base station, the number of corresponding radio frequency channels is K, and for any terminal, there are 1 corresponding channels for uploading a data link. For a newly accessed terminal device, if the coverage range of a wireless radio frequency signal of only one base station is covered, a signal of a wireless radio frequency channel is generally received based on the setting of the frequency band; if the radio frequency signals of the two base stations are in the common radiation range, at least the signals of two radio frequency channels are received under the normal condition; in order to improve the probability of receiving satellite signals, the ground base stations are usually installed densely, and the scheme belongs to the latter scheme.
S200, performing virtual partitioning on a ground base station based on respective data tasks of a satellite and/or a terminal of an original access network, performing virtual channel transmission matrix mapping, obtaining an information source coding matrix and forming a channel coding matrix; performing virtual partition on a ground base station based on the service of each original satellite (understood as an accessed terminal), wherein if N original network-accessing satellites exist, N virtual partitions are possible, and at least N different virtual partitions can be selected when a new terminal accesses a network; it is also possible that the number of virtual partitions is N-1, then at least N-1 different virtual partitions will be available for selection when a new terminal accesses the network.
There are n receiving terminals and m transmitting terminals. They may be actual physical devices or virtual terminals, for example, a beamforming of an antenna is a virtual transmitting terminal. The matrix H is called a channel condition matrix, H is an element in the matrix H and corresponds to nm entity (or virtual) channels; x represents the input signal and y represents the output signal. The above equation corresponds to the noise figure. For example of the formula:
s300, based on the source coding matrix and the channel coding matrix, the conditions that the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum are taken as conditions; dynamic screening of virtual partitions and preliminary screening of wireless radio frequency channels of ground base stations in the virtual partitions are achieved;
the method and the device realize the screening of the channels by calculating and analyzing on the basis of the wireless radio frequency channel signals received by the terminal, and can obtain more objective and actual effects from actual conditions. Obtaining a relation model between signal-to-noise ratio strength and a signal source coding matrix corresponding to a terminal based on a relation model between a received signal F of the terminal and radio frequency signal transmitting power of the terminal, signal background noise strength of the terminal, the signal source coding matrix corresponding to the terminal, a coding matrix of a base station and Gaussian white noise signal strength, and obtaining a limiting condition that transmission capacity meets by combining Shannon's theorem:
the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual subarea and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum;
the channel capacity can be adjusted by adjusting the capacity coefficient to satisfy the above-mentioned constraint condition, thereby realizing data throughput with the optimal channel capacity.
And S400, acquiring the arranged priority according to the dynamic parameters, and combining with other satellites and/or terminals according to the priority to realize the optimal screening of the wireless radio frequency channels of the ground base station in the virtual partition.
The dynamic parameters include, for example, of the terminal device: the real-time requirement (including data volume change, time and the like), transmission power, data volume size, satellite-ground distance, satellite elevation and the like of the transmission data of the satellite; also including terrestrial base station channels, for example: channel power, channel status (occupied, idle, intermittent occupied), etc.; the method can be used for weighting according to the influence of different dynamic parameters on the resource occupation, the weight of the dynamic parameters is involved in the calculation to obtain the weights of the terminals and the channels, the priority is arranged according to the weights, different terminals are optimally combined according to the priority, the optimal screening of the wireless radio frequency channels is realized by combining with a dynamic scene, and the effective utilization of resources is further improved.
In an embodiment of the present application, between S100 and S200, further includes:
s110, obtaining a classification label according to channel conditions (including power, frequency band, transmission speed, capacity, time delay, bandwidth, gain, interference and the like of a channel);
the channel conditions include, but are not limited to, power, frequency band, transmission speed, and capacity of the channel; if there are multiple terminals accessed simultaneously or sequentially, the classification label may be selected for the signals of multiple radio frequency channels received by each terminal according to the channel conditions, and label classification is performed, for example, when there are multiple access terminals in the network that need to perform data interaction, the power of the channel may be selected as the classification label, or the power and the capacity may be selected as the classification label.
S120, performing clustering analysis according to the classification labels to obtain a clustering feature matrix;
performing label classification on the plurality of radio frequency channel signals; performing clustering decomposition according to the classification labels to finally obtain a clustering characteristic matrix; specifically, the channel signals are subjected to clustering decomposition according to a known clustering algorithm and classification labels, for example: different parameter characteristic values and characteristic vectors can be selected according to the characteristics of the selected classification labels, the clustering characteristics are extracted to carry out clustering decomposition to obtain clustering results, and the clustering results can be represented by a clustering characteristic matrix.
The step S210 of obtaining the source coding matrix and the channel coding matrix includes:
s211, respectively carrying out virtual channel transmission matrix mapping on the clustering characteristic matrix to obtain an information source coding matrix and form a channel coding matrix.
The channel coding matrix is understood as a transmission matrix for describing the gain of source coding, for example, the channel condition after coding gain is obtained by multiplying the channel coding matrix G by the channel condition matrix H in equation (1). H characterizes the channel fading, and G is a diagonal matrix, representing the corresponding channel coding gain. For example a matrix of n x n.
The step S310 of dynamically screening the virtual partition includes:
s311, acquiring the minimum influence power of the newly accessed satellite on other satellites in the access network;
s312, acquiring the number of the optimal access satellites in real time;
it can be understood that the optimal set of access satellites is obtained through the condition of S311.
S313, obtaining selection parameters according to a parameter model formed by the optimal number of the access satellites, the minimum influence power and the minimum channel number of the corresponding base station;
these channel parameters include: channel condition, antenna gain, coding gain, satellite elevation, relative velocity, etc., which form a channel parameter matrix. The channel conditions for multiple satellites to multiple user terminals are embedded matrices. For example, the channel conditions for satellite number 1 and user number 1 are matrices.
And S314, based on the obtained selection parameters, adjusting the selection parameters under the condition that the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum, and completing the selection of the virtual partition.
When the selected parameters are adjusted, the arbitrary parameters can be selected for adjustment, the channel parameter matrix can be changed correspondingly after adjustment, and then the channel capacity can be determined through the adjusted parameters.
The step S320 of primarily screening the radio frequency channels of the ground base stations in the virtual partition includes:
s321, comparing the power of the ground base stations in all the virtual partitions with the acquired minimum influence power;
s322, screening out the virtual partition with the power larger than the minimum influence power;
s323, adjusting and selecting parameters according to the parameter model;
s324, obtaining a channel corresponding to the virtual partition based on the adjusted selection parameter;
s325, effectively screening the current channel through the parameter model;
and S326, when the power of the satellite in the active state is lower than the minimum influence power, confirming that the current channel is in the redundant state.
When the satellite adopts the same system, the additional channel bandwidth can be provided for the current channel with capacity or condition, and the data transmission service of the new access terminal is completed.
S400 includes:
s410, the dynamic parameters comprise: real-time parameters, channel power parameters, data volume, satellite-to-ground distance, satellite elevation, satellite attitude, and/or radio frequency channel state; the channel power parameters include the power requirements of the satellite and terminal transceivers, and the power parameters of the channel fading.
S420, weighting each dynamic parameter, and calculating the weight of each terminal and each channel according to the weighting of the dynamic parameters;
s430, carrying out priority sorting according to the weight value;
for example: the weight for each channel condition i of a user is Wi(k) The term having a value of αi(k) The weighting of the user is:
. The channel weights are weights, such as: the whole is 100 points, and the 5 items are 20 points respectively. Alpha is the score of the item, and is between 0 and 1. 0.8 corresponds to 80 points of this item.
And S440, combining the terminals based on the priority order, and allocating channels.
E.g. onThe users' weighted numbers are sorted
。
And selecting one or more users with the top rank for scheduling and allocating resources.
In an embodiment of the present disclosure, the method further includes:
and S500, when the data volume of the newly accessed satellite is smaller than the lower limit of the data volume threshold, splicing the data of other satellites accessed to the network into a data frame.
By the method, after the terminals are combined, the data of different terminals or different satellites can be spliced to form a data frame, so that the data transmission speed is improved.
S600, compressing and caching the transmission data when the data volume of the newly accessed satellite is larger than the upper limit of the data volume threshold; the cached compressed data is mapped to a plurality of screened virtual channels.
After the combination of the terminals, if the data amount is too large, the data can be compressed and cached by adopting a compression algorithm, then the cached compressed data is mapped to a plurality of screened virtual channels through a channel transmission matrix, and the transmission of the compressed data is completed through the plurality of virtual channels. At the receiving end, the information of different virtual channels needs to be collected and restored.
S700, when more than two satellites transmit the same type of signals, the same type of signals are collected by adopting edge calculation; or data compression is carried out; and after being converged by adopting a ground relay, the channels are transmitted in a planet way.
At present, the satellite transmission rate is lower than that of the ground, and the capacity is also small. The amount of data transmitted between satellites is compressed as much as possible. The relay means that a plurality of signals with close distances are firstly collected to the relay station by using ground short-distance communication (Bluetooth, wifi and the like), then redundant information is removed, or information after edge calculation processing (screening process) is carried out, and finally obtained information is transmitted in a planet way through the relay station.
It should be noted that the sequence of S500-S700 here can be exchanged arbitrarily without being constrained by the sequence number.
Example two
On the basis of the first embodiment, the present embodiment provides a channel screening optimization system for a communication terminal device, which includes a processor and a memory, where the memory stores a program, and the processor executes the steps of the method of the embodiment when running the program. The system can be used as an embedded system or a plug-in system of a satellite or a terminal, and the program is executed when data transmission is carried out, so that the technical effect same as that of the embodiment is realized.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structural changes made by using the contents of the specification and drawings, or any other related technical fields, which are directly or indirectly applied to the present invention, are included in the scope of the present invention.
Claims (10)
1. A channel screening optimization method for communication terminal equipment is characterized in that a plurality of satellites are independently networked with a plurality of ground base stations respectively, when a new satellite and/or a terminal is accessed to a network, channel screening and optimization are carried out on the new accessed satellite and/or the terminal with resource competition when data is transmitted, and the optimization method comprises the following steps:
acquiring a plurality of wireless radio frequency channel signals of a plurality of ground base stations;
performing virtual partitioning on a ground base station based on respective data tasks of a satellite and/or a terminal of an original access network, performing virtual channel transmission matrix mapping, obtaining an information source coding matrix and forming a channel coding matrix;
based on the source coding matrix and the channel coding matrix, the conditions that the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum are taken as conditions; dynamic screening of virtual partitions and preliminary screening of wireless radio frequency channels of ground base stations in the virtual partitions are achieved; the specific method for dynamically screening the virtual partition and preliminarily screening the wireless radio frequency channel of the ground base station in the virtual partition comprises the steps of obtaining a relation model between signal-to-noise ratio strength and a signal source coding matrix corresponding to a terminal based on a relation model between a received signal F of the terminal and radio frequency signal transmitting power of the terminal, signal background noise strength of the terminal, the signal source coding matrix corresponding to the terminal, a coding matrix of a base station and Gaussian white noise signal strength, obtaining a limit condition met by transmission capacity by combining Shannon's theorem, and adjusting channel capacity by adjusting a capacity coefficient so as to realize data throughput with optimal channel capacity;
and acquiring the arranged priorities according to the dynamic parameters, and carrying out optimized combination on different terminals according to the priorities to realize the optimized screening of the wireless radio frequency channels of the ground base station in the virtual partition.
2. The method of claim 1, wherein after the step of obtaining the plurality of radio frequency channel signals of the plurality of ground base stations, the method further comprises:
obtaining a classification label according to the channel condition;
performing clustering analysis on the plurality of wireless radio frequency channel signals according to the classification labels to obtain a clustering feature matrix;
the step of obtaining the source coding matrix and the channel coding matrix comprises:
and respectively mapping the clustering characteristic matrixes by virtual channel transmission matrixes to obtain a source coding matrix and form a channel coding matrix.
3. The method according to claim 2, wherein the step of dynamically screening the virtual partitions includes:
acquiring the minimum influence power of the newly accessed satellite on other satellites in the access network;
acquiring the optimal number of access satellites in real time;
obtaining a selection parameter according to a parameter model formed by the optimal number of the access satellites, the minimum influence power and the minimum channel number of the corresponding base station;
based on the obtained selection parameters, the selection parameters are adjusted under the condition that the modulus of the transmission capacity of the wireless radio frequency channel signal is smaller than the maximum receiving power of the virtual partition and the signal-to-noise ratio strength of the wireless radio frequency channel signal is minimum, and the virtual partition is selected.
4. The method as claimed in claim 3, wherein the step of preliminarily screening the radio frequency channels of the ground base stations in the virtual partition comprises:
comparing the power of the ground base stations in all the virtual partitions with the obtained minimum influence power;
screening out the virtual partitions with the power larger than the minimum influence power;
adjusting the selected parameters according to the parameter model;
and obtaining the channel corresponding to the virtual partition based on the adjusted selection parameter.
5. The method as claimed in claim 4, wherein the step of primarily screening the radio frequency channels of the ground base stations in the virtual partition further comprises:
effectively screening the current channel through a parameter model;
and when the power of the satellite in the active state is lower than the minimum influence power, confirming that the current channel is in the redundant state.
6. The method according to any one of claims 1 to 5, wherein the dynamic parameters include:
real-time parameters;
a power parameter;
the amount of data;
the distance between the star and the ground;
satellite elevation;
a satellite attitude; and/or radio frequency channel status;
and weighting each dynamic parameter, calculating the weight of each terminal and each channel according to the weighting of the dynamic parameters, and sequencing the priority according to the weight.
7. The method for channel screening optimization of communication terminal equipment according to any one of claims 1 to 5, further comprising:
and when the data volume of the newly accessed satellite is smaller than the lower limit of the data volume threshold, splicing the data of other satellites accessed to the network into a data frame.
8. The method for channel screening optimization of communication terminal equipment according to any one of claims 1 to 5, further comprising:
when the data volume of the newly accessed satellite is larger than the upper limit of the data volume threshold, compressing and caching the transmission data;
the cached compressed data is mapped to a plurality of screened virtual channels.
9. The method for channel screening optimization of communication terminal equipment according to any one of claims 1 to 5, further comprising:
when more than two satellites transmit the same kind of signals, the same kind of signals are collected by adopting edge calculation; or data compression is carried out;
and after being converged by adopting a ground relay, the channels are transmitted in a planet way.
10. A channel screening optimization system for a communication terminal device, comprising:
a memory storing a channel screening optimization program;
a processor for performing the steps of the method of any one of claims 1 to 9 when running the channel screening optimization program.
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