CN113191024B - Multi-objective optimization-based frequency planning modeling method and device and computer equipment - Google Patents
Multi-objective optimization-based frequency planning modeling method and device and computer equipment Download PDFInfo
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Abstract
The application relates to a multi-objective optimization-based frequency planning modeling method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring variable information of a frequency utilization system, setting meta task information and decision variable information for describing a single frequency utilization equipment planning scheme according to the variable information, taking the minimum same frequency interference among frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets, and taking frequency spectrum resource constraint, same platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions to construct a multi-objective optimization model of frequency utilization planning; and solving the multi-objective optimization model to obtain a scheme package of frequency planning for the frequency utilization system. The invention considers the multiplexing of the time domain of the frequency utilization equipment in the modeling, realizes the overall scheduling of three dimensions such as the space domain, the frequency domain, the energy domain and the like of the frequency utilization equipment, can accurately describe the expected consideration and requirement of a decision maker on the frequency utilization planning scheme, and has better planning effect and practicability.
Description
Technical Field
The application relates to the technical field of computers, in particular to a frequency planning modeling method and device based on multi-objective optimization, computer equipment and a storage medium.
Background
With the development of modern informatization, sufficient electromagnetic spectrum resource support needs to be obtained for communication, radar detection, satellite navigation, electronic countermeasure and the like. Under the condition of limited spectrum resources, how to implement frequency planning accurately in real time has become a key point for improving the performance of frequency equipment.
The method for researching the frequency planning problem mainly comprises a deterministic algorithm, a game theory, graph theory coloring, an auction theory, an intelligent optimization algorithm and the like. In the prior art, a graph theory concept is introduced to improve an exhaustive search method so as to improve the instantaneity of a deterministic algorithm for solving a frequency planning problem; the establishment of an efficient and intelligent cognitive radio frequency spectrum allocation model is realized by applying a game theory and a Gram matrix; according to the characteristics of the frequency planning problem, abstracting the frequency planning problem into a graph coloring problem so as to realize the rapid distribution of the frequency; establishing a user frequency spectrum sharing model by using an auction mechanism and providing an iterative distributed bid updating algorithm for fast solving; a memory function of tabu search is introduced on the basis of a simulated annealing algorithm to improve the search efficiency and precision, so that a frequency planning method based on hybrid intelligent optimization with better optimization performance is provided; a taboo search algorithm which is high in calculation speed, flexible, efficient and well-known is introduced, and engineering experience is utilized to improve the algorithm in speed, so that flexible, efficient and fast assignment of frequencies of a tactical communication network is realized. In the method, the intelligent optimization algorithm has the advantages of better global optimization performance and lower time complexity for solving the large-scale combined optimization problem, and is most widely applied to solving the frequency-using planning problem.
However, in the literature related to the frequency-use planning problem, modeling is usually only provided with one-dimensional variables of a frequency domain, and the obtained frequency-use planning scheme only includes an assignment scheme of frequency points of each frequency-use device, so that overall scheduling of multiple dimensions such as a time domain, a space domain, a frequency domain, an energy domain and the like of the frequency-use device cannot be realized. Meanwhile, the planning model is difficult to accurately describe the expected consideration and requirement of the decision maker on the frequency-using planning scheme, which may cause the deviation of the quality determination of the solution, cause the loss of the ideal frequency-using planning scheme, and have the problem of poor planning effect.
Disclosure of Invention
Therefore, it is necessary to provide a frequency plan modeling method, device, computer equipment and storage medium based on multi-objective optimization, which can improve the frequency plan effect, in order to solve the above technical problems.
A frequency plan modeling method based on multi-objective optimization comprises the following steps:
acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
setting meta-task information for describing a single frequency equipment planning scheme according to the variable information, and obtaining a decision variable according to the meta-task information;
according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum same frequency interference among the frequency utilization equipment, the highest demand satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking spectrum resource constraint, same platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions;
and solving the multi-objective optimization model to obtain a scheme package of the frequency utilization planning of the frequency utilization system.
In one embodiment, the method further comprises the following steps: acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use; the variable information comprises frequency-using platform identification information, frequency-using equipment identification information, a platform serial number where the frequency-using equipment is located, frequency-using requirement priority information, interference threshold information, frequency-using period identification information, optional frequency spectrum resource information, optional frequency information, optional transmitting power information and optional geographic coordinate information.
In one embodiment, the method further comprises the following steps: setting the meta-task in the meta-task information for describing the single frequency equipment planning scheme according to the variable information as follows:
wherein, UijkvFrequency device w for representationiUsing frequency point sfjTransmitting power spkFrequency platform for the sameHas geographic horizontal and vertical coordinates scv(ii) a The Equipment Id represents the frequency equipment identification information; the stageId represents the platform identification information of the frequency utilization equipment; frequency represents the use Frequency point of the Frequency-using equipment; power represents the transmission Power of the frequency utilization equipment; CordX represents the x-axis coordinate position of the frequency using device, and CordY represents the y-axis coordinate position of the frequency using device;
obtaining decision variables according to the meta-task information as follows:
wherein x isijkvRepresenting the meta-task UijkvIf the meta-task is executed, xijkv1 is ═ 1; otherwise xijkv＝0；NWRepresenting the number of the frequency-using devices;
representing the number of the selectable frequency points;
representing the number of selectable power values;
indicating the number of selectable horizontal and vertical geographic coordinates.
In one embodiment, the method further comprises the following steps: according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum same frequency interference among the frequency utilization equipment, the highest demand satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking spectrum resource constraint, same platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions; the frequency point selected by the frequency using equipment is in the intersection of the available frequency spectrum resource and the selectable frequency information of the frequency using equipment; the same-platform position consistency constraint means that the geographic coordinates of different frequency utilization equipment on the same frequency utilization platform are consistent; the uniqueness constraint of the frequency utilization equipment means that the frequency utilization equipment can only execute comprehensive scheduling of frequency, power and geographic coordinates once.
In one embodiment, the method further comprises the following steps: according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions; the method for judging the same frequency interference and the adjacent frequency interference comprises the following steps:
judging whether the two frequency utilization devices have frequency utilization time periods of joint work or not, and if not, judging that the two frequency utilization devices do not have the possibility of electromagnetic interference;
and if the electromagnetic interference possibility exists, analyzing the electromagnetic interference possibility among the frequency-using devices through a free propagation model.
In one embodiment, the method further comprises the following steps: acquiring the transmitting power of a transmitting signal of first frequency equipment and the propagation loss of the transmitting signal when the transmitting signal reaches a second frequency equipment receiver;
obtaining a received signal level received by a receiver of the second frequency device according to the transmitting power and the propagation loss;
and comparing the received signal level with a threshold value in the interference threshold information, and when the received signal level is greater than or equal to the threshold value, judging that the first frequency device and the second frequency device have the possibility of interference.
In one embodiment, the method further comprises the following steps: judging whether the working frequency points of the first frequency equipment and the second frequency equipment are the same or not, and if so, judging that the first frequency equipment and the second frequency equipment have same frequency interference;
and if not, the reciprocal of the interval of the assigned frequency points of the first frequency equipment and the second frequency equipment is used as the measurement value of the adjacent frequency interference risk.
A multi-objective optimization-based frequency plan modeling apparatus, the apparatus comprising:
the variable information acquisition module is used for acquiring variable information of the frequency system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices which are not in the same frequency utilization period;
the decision variable definition module is used for setting meta-task information used for describing a single frequency equipment planning scheme according to the variable information and obtaining a decision variable according to the meta-task information;
the multi-objective optimization model building module is used for building a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization objectives and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions according to the decision variable information;
and the planning scheme packet acquisition module is used for solving the multi-objective optimization model to obtain the scheme packet of the frequency utilization system frequency utilization planning.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
setting meta-task information for describing a single frequency equipment planning scheme according to the variable information, and obtaining a decision variable according to the meta-task information;
according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions;
and solving the multi-objective optimization model to obtain a scheme package of the frequency utilization planning of the frequency utilization system.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
setting meta-task information for describing a single frequency equipment planning scheme according to the variable information, and obtaining a decision variable according to the meta-task information;
according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions;
and solving the multi-objective optimization model to obtain a scheme package of the frequency utilization planning of the frequency utilization system.
According to the multi-objective optimization-based frequency plan modeling method, device, computer equipment and storage medium, variable information of a frequency utilization system is obtained, wherein the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization equipment, a frequency utilization process comprises a plurality of frequency utilization time periods, and the same frequency point can be allocated to the plurality of frequency utilization equipment which are not in the same frequency utilization time period for use; setting meta task information for describing a single frequency equipment planning scheme according to variable information, obtaining decision variables according to the meta task information, and constructing a multi-objective optimization model for frequency planning by taking the minimum co-frequency interference among frequency equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency equipment uniqueness constraint as constraint conditions according to the decision variable information; and solving the multi-objective optimization model to obtain a scheme package of frequency planning for the frequency utilization system. The invention considers the multiplexing of the time domain of the frequency utilization equipment in the modeling, realizes the overall scheduling of three dimensions such as the space domain, the frequency domain, the energy domain and the like of the frequency utilization equipment, can accurately describe the expected consideration and requirement of a decision maker on the frequency utilization planning scheme, and has better planning effect and practicability.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a frequency planning modeling method based on multi-objective optimization;
FIG. 2 is a block diagram of an embodiment of a multi-objective optimization-based frequency plan modeling apparatus;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The multi-objective optimization-based frequency planning modeling method can be applied to the application environment shown in FIG. 1. The terminal executes a multi-objective optimization-based frequency utilization planning modeling method to obtain variable information of a frequency utilization system, wherein the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, a frequency utilization process comprises a plurality of frequency utilization periods, and the same frequency point can be allocated to the plurality of frequency utilization devices in different frequency utilization periods for use; setting meta task information for describing a single frequency equipment planning scheme according to variable information, obtaining decision variables according to the meta task information, and constructing a multi-objective optimization model for frequency planning by taking the minimum co-frequency interference among frequency equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency equipment uniqueness constraint as constraint conditions according to the decision variable information; and solving the multi-objective optimization model to obtain a scheme package of frequency planning for the frequency utilization system. The terminal may be, but is not limited to, various personal computers, notebook computers, and tablet computers.
In one embodiment, as shown in fig. 1, a multi-objective optimization-based frequency plan modeling method is provided, which includes the following steps:
and 102, acquiring variable information of a frequency system.
The frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
frequency system composed of NPEach frequency utilization platform is respectively provided with one or more frequency utilization devices for various types of communication, navigation, radar, guidance, electronic warfare and the like. The frequency using process of the frequency using system can be sequentially decomposed into NTAnd (4) carrying out each stage.
Specifically, the frequency demand of each stage of the frequency utilization system is shown in table 1:
TABLE 1 frequency demand for each stage of a frequency demand system
Note: o indicates no mission requirement and ● indicates mission requirement.
Sequentially decomposing the frequency utilization process of the frequency utilization system into NTThe purpose of the frequency utilization periods is to enable the same frequency point to be assigned to a plurality of frequency utilization devices which are not used in the same frequency utilization period, thereby realizing the multiplexing of frequency spectrum resources in the time dimension. The same frequency utilization equipment uses the same frequency point in all frequency utilization periods from the beginning to the end of the frequency utilization action in principle, and the frequency conversion operation is avoided as much as possible.
And 104, setting meta-task information for describing a single frequency equipment planning scheme according to the variable information, and obtaining a decision variable according to the meta-task information.
The meta task is used for describing a frequency utilization planning scheme of a single frequency utilization device, and comprises information such as a label of the frequency utilization device, a used frequency point, transmission power, a horizontal and vertical geographic coordinate of a platform where the frequency utilization device is located and the like. The meta-tasks may be exhaustive of all possible situations planned with each frequency device, and if a certain meta-task is executed, the element of the corresponding decision variable may be assigned to 1, otherwise, to 0.
And 106, according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum same frequency interference among frequency utilization equipment, the highest demand satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking spectrum resource constraint, same platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions.
Electromagnetic interference possibly existing among frequency equipment needs to be analyzed in the frequency planning process, and the interference types needing to be considered comprise co-channel interference, adjacent channel interference, harmonic interference, stray interference, intermodulation interference and the like. In order to simplify the problem description, only two types of main electromagnetic interference of same frequency interference and adjacent frequency interference are considered. When the same-frequency interference and the adjacent-frequency interference are considered, whether the frequency utilization time interval of the joint work exists between the two frequency utilization devices is judged according to the table 1: if the frequency utilization equipment does not exist, the possibility of electromagnetic interference does not exist between the two frequency utilization equipment; if the electromagnetic interference exists, the possibility of the electromagnetic interference among the frequency-using devices is further analyzed by using a free space propagation model.
The frequency planning problem considered by the present invention can be summarized as follows: under the premise of meeting constraint conditions such as frequency spectrum resource constraint, same-platform position consistency constraint, frequency equipment uniqueness constraint and the like, the frequency utilization platform and the frequency equipment in the frequency utilization system of one party are comprehensively scheduled by combining the conflict interference analysis of the frequency utilization requirement and the frequency equipment, optional frequency points are assigned to the frequency equipment, the transmitting power is determined, geographical coordinates are distributed to the frequency utilization platform, and an optimized frequency utilization planning scheme is formulated so as to maximally realize the overall optimization of multiple targets such as minimum interference conflict, highest requirement meeting, lowest adjacent frequency risk and the like.
And 108, solving the multi-objective optimization model to obtain a scheme package of frequency planning of the frequency utilization system.
After the scheme packet of the frequency utilization planning is obtained, the staff can select the most satisfactory frequency utilization planning scheme in the solution set according to the decision preference of the staff.
In the multi-objective optimization-based frequency planning modeling method, variable information of a frequency utilization system is obtained, wherein the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, a frequency utilization process comprises a plurality of frequency utilization time periods, and the same frequency point can be allocated to the plurality of frequency utilization devices which are not in the same frequency utilization time period for use; setting meta task information for describing a single frequency equipment planning scheme according to variable information, obtaining decision variables according to the meta task information, and constructing a multi-objective optimization model for frequency planning by taking the minimum co-frequency interference among frequency equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency equipment uniqueness constraint as constraint conditions according to the decision variable information; and solving the multi-objective optimization model to obtain a scheme package of frequency planning for the frequency utilization system. According to the method, the multiplexing of the time domain of the frequency utilization equipment is considered in modeling, the overall scheduling of three dimensions such as the space domain, the frequency domain and the energy domain of the frequency utilization equipment is realized, the expected consideration and requirements of a decision maker on the frequency utilization planning scheme can be accurately described, and the method has better planning effect and practicability.
In one embodiment, the method further comprises the following steps: acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use; the variable information comprises frequency-using platform identification information, frequency-using equipment identification information, a platform serial number where the frequency-using equipment is located, frequency-using requirement priority information, interference threshold information, frequency-using period identification information, selectable frequency spectrum resource information, selectable frequency information, selectable transmitting power information and selectable geographical coordinate information.
Specifically, the main mathematical notation for modeling with the frequency planning problem is as follows:
1) identifying with frequency platform:
represents NPA frequency utilization platform.
2) Identifying with frequency equipment:
represents NWA station frequency device.
3) The serial number of the platform where the frequency utilization equipment is located is as follows:
and the set of frequency utilization platform identification numbers of the frequency utilization devices is shown.
4) Frequency utilization demand priority: r isiFrequency device w for representationiThe frequency usage of (2) requires priority.
5) And (3) interference threshold: di represents frequency device wiIs measured in dB.
6) Identifying with a frequency period:
represents NTA frequency period.
7) Available spectrum resources:
frequency point representing all available of our parties, NfIs the number of available frequency points.
8) Optional frequency information:
frequency device w for representationiThe set of selectable frequency bins of (a),
for frequency using device wiThe number of frequency points can be selected.
9) Optional transmit power information:
frequency device w for representationiThe set of selectable power values of (a),
for frequency using device wiAn optional number of power values.
10) Optional geographic coordinate information:
representation frequency platform piThe selectable set of horizontal and vertical geographic coordinates of (c),
for using frequency platform piThe number of geographic coordinates can be selected.
In one embodiment, the method further comprises the following steps: setting the meta-tasks in the meta-task information for describing the single frequency equipment planning scheme according to the variable information as follows:
wherein, UijkvFrequency device w for representationiUsing frequency point sfjTransmitting power spkThe horizontal and vertical geographic coordinates of the frequency platform in which the frequency platform is located are scv(ii) a The Equipment Id represents frequency equipment identification information; the StageId represents identification information of a platform where the frequency equipment is located; frequency represents the use Frequency point of the Frequency equipment; power represents the transmission Power of the user equipment; CordX represents the x-axis coordinate position of the frequency-using device, and CordY represents the y-axis coordinate position of the frequency-using device;
obtaining decision variables according to the meta-task information as follows:
wherein x isijkvPresentation meta task UijkvIf the meta-task is executed, xijkv1 is ═ 1; else xijkv＝0；NWIndicating the number of frequency devices;
the number of the selectable frequency points is represented;
representing the number of selectable power values;
indicating the number of selectable horizontal and vertical geographic coordinates.
In one embodiment, the method further comprises the following steps: according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-channel interference among frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent channel interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions; the frequency spectrum resource constraint means that the frequency points selected by the frequency utilization equipment are in the intersection of the available frequency spectrum resources and the selectable frequency information of the frequency utilization equipment; the same-platform position consistency constraint means that the geographic coordinates of different frequency utilization equipment on the same frequency utilization platform are consistent; the uniqueness constraint of the frequency utilization equipment means that the frequency utilization equipment can only execute comprehensive scheduling of frequency, power and geographic coordinates once.
In particular, constraints of the frequency planning problem
1) The uniqueness constraint of the frequency-using device: each frequency utilization device can only and must perform comprehensive scheduling of frequency, power and geographic coordinates once:
2) and (3) spectrum resource constraint: the frequency points selected by the frequency utilization equipment in the frequency utilization planning scheme are in the intersection of the available frequency spectrum resources and the frequency utilization equipment selectable frequency information:
3) and (3) the same-platform position consistency constraint that the geographic coordinates of different frequency utilization devices on the same frequency utilization platform are consistent:
if Si＝Sj&i≠j,then
the objective function of the frequency planning problem is:
1) interference and collision are minimum: the total frequency of co-channel interference caused by frequency devices is minimum:
in the formula: dtij0 denotes a frequency device wiAnd frequency utilization device wjCo-frequency interference does not exist between the two devices; dtijFrequency device w is denoted by 1iAnd frequency utilization device wjThere is co-channel interference between them.
2) The requirements are highest: the frequency-using equipment whose demand is satisfied has the highest total quantity multiplied by its priority coefficient:
in the formula: sai0 indicates that there is at least one frequency device wiGenerating same frequency interference; sa is ai1 denotes that all the frequency devices w do not share a frequency deviceiCo-channel interference is generated.
3) The adjacent frequency risk is lowest: calculating the sum of the adjacent frequency interference risks among all the paired frequency equipment with the electromagnetic interference possibility in the frequency planning scheme:
in the formula: ar (r)ij＝1/|Frequencyi-Frequencyj|，arijFrequency device w for representationiAnd frequency utilization device wjThe adjacent frequency interference risk between the same frequency points is taken as arij＝0。
In one embodiment, the method further comprises the following steps: according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-channel interference among frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent channel interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions; the method for judging the same frequency interference and the adjacent frequency interference comprises the following steps: judging whether the two frequency utilization devices have frequency utilization time periods of joint work or not, and if not, judging that the two frequency utilization devices do not have the possibility of electromagnetic interference; if the frequency utilization equipment exists, analyzing the electromagnetic interference possibility among the frequency utilization equipment through a free propagation model, specifically:
Lij＝32.44+20lg dij+20lg fi
PEij＝PSi-Lij
in the formula: l is a radical of an alcoholijFrequency device w for representationiIs transmitted to the frequency-using device wjPropagation loss in time at the receiver (unit: dB); dijFrequency device w for representationiAnd frequency utilization device wjDistance between (unit: km); f. ofiFrequency device w for representationiSelected frequency points (unit: MHz); PS (polystyrene) with high sensitivityiFrequency device w for representationiSelected power (in dB); PE (polyethylene)ijFrequency device w for representationiIs transmitted to the frequency-using device wjThe received signal level (unit: dB) at the receiver.
In one embodiment, the method further comprises the following steps: acquiring the transmitting power of a transmitting signal of first frequency equipment and the propagation loss of the transmitting signal when the transmitting signal reaches a receiver of second frequency equipment; obtaining a received signal level received by a receiver of the second frequency device according to the transmitting power and the propagation loss; comparing the received signal level with a threshold value in the interference threshold information, and when the received signal level is greater than or equal to the threshold value, judging the possibility of interference between the first frequency equipment and the second frequency equipment, wherein the possibility comprises judging whether working frequency points of the first frequency equipment and the second frequency equipment are the same or not, and if the working frequency points of the first frequency equipment and the second frequency equipment are the same, the first frequency equipment and the second frequency equipment have same-frequency interference; and if not, the reciprocal of the interval of the assigned frequency points of the first frequency equipment and the second frequency equipment is used as the measurement value of the adjacent frequency interference risk.
Obtaining a received signal level PEijThen, it is connected with a frequency utilization device wjInterference threshold DjComparison was carried out: if PEij≥DjThen frequency device wiTo frequency device wjThe possibility of electromagnetic interference exists; if PEij＜DjThere is no possibility of electromagnetic interference between the two frequency-using devices. The determination of the electromagnetic interference probability is matrixed as follows:
a represents an electromagnetic interference probability matrix; a isij0 denotes a frequency device wiAnd frequency utilization device wjThere is no possibility of electromagnetic interference between aijFrequency device w is denoted by 1iAnd frequency using device wjThere is a possibility of electromagnetic interference.
When frequency device wiAnd frequency utilization device wjThere is a possibility of electromagnetic interference (a)ij1), further considering co-channel interference and adjacent channel interference between two frequency devices: taking into account co-channel interference dtijIf the working frequency points of the two frequency utilization devices are the same, the same frequency interference exists between the two frequency utilization devices; otherwise, co-channel interference does not exist and the risk of adjacent channel interference of the co-channel interference and the adjacent channel interference is further considered. Considering the adjacent channel interference risk arijCalculating the interval af of assigned frequency point between two frequency devicesij. The longer the interval, the lower the risk of adjacent channel interference, so the invention takes the reciprocal of the interval as the measure of the adjacent channel risk of the two frequency devices.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 2, there is provided a multi-objective optimization-based frequency plan modeling apparatus, including: a variable information obtaining module 202, a decision variable defining module 204, a multi-objective optimization model constructing module 206 and a planning scheme package obtaining module 208, wherein:
a variable information obtaining module 202, configured to obtain variable information of the frequency system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
the decision variable definition module 204 is configured to set, according to the variable information, meta-task information used for describing a single frequency equipment planning scheme, and obtain a decision variable according to the meta-task information;
the multi-objective optimization model building module 206 is configured to build a multi-objective optimization model for frequency planning according to the decision variable information, with the minimum co-channel interference among the frequency-using devices, the highest demand satisfaction, and the minimum adjacent channel interference risk as optimization objectives, and with the spectrum resource constraint, the same-platform position consistency constraint, and the frequency-using device uniqueness constraint as constraint conditions;
and the planning scheme package obtaining module 208 is configured to solve the multi-objective optimization model to obtain a scheme package of frequency utilization planning of the frequency utilization system.
The decision variable definition module 204 is further configured to set, according to the variable information, the meta-tasks in the meta-task information for describing the single frequency-using device planning scheme as follows:
wherein, UijkvFrequency device w for representationiUsing frequency point sfjTransmitting power spkThe horizontal and vertical geographic coordinates of the frequency platform are scv(ii) a The Equipment Id represents frequency equipment identification information; the stageId represents identification information of a platform where the frequency equipment is located; frequency representationThe use frequency point of the frequency utilization equipment; power represents the transmission Power of the user equipment; CordX represents the x-axis coordinate position of the frequency-using device, and CordY represents the y-axis coordinate position of the frequency-using device;
obtaining decision variables according to the meta-task information as follows:
wherein x isijkvPresentation meta task UijkvIf the meta-task is executed, xijkv1 is ═ 1; otherwise xijkv＝0；NWIndicating the number of frequency devices;
representing the number of the selectable frequency points;
representing the number of selectable power values;
indicating the number of selectable horizontal and vertical geographic coordinates.
The multi-objective optimization model building module 206 is further configured to build a multi-objective optimization model for frequency planning according to the decision variable information, with the minimum co-channel interference among the frequency-using devices, the highest demand satisfaction, and the minimum adjacent channel interference risk as optimization objectives, and with the spectrum resource constraint, the same-platform location consistency constraint, and the frequency-using device uniqueness constraint as constraint conditions; the method for judging the same frequency interference and the adjacent frequency interference comprises the following steps: judging whether the two frequency utilization devices have frequency utilization time periods of joint work or not, and if not, judging that the two frequency utilization devices do not have the possibility of electromagnetic interference; if existing, the possibility of electromagnetic interference between the frequency-using devices is analyzed through a free propagation model.
The multi-objective optimization model building module 206 is further configured to obtain the transmission power of the transmission signal of the first frequency device and the propagation loss when the transmission signal reaches the receiver of the second frequency device; obtaining a received signal level received by a receiver of the second frequency equipment according to the transmitting power and the propagation loss; and comparing the received signal level with a threshold value in the interference threshold information, and judging that the first frequency equipment and the second frequency equipment have the possibility of interference when the received signal level is greater than or equal to the threshold value.
The multi-objective optimization model building module 206 is further configured to determine whether the working frequency points of the first frequency device and the second frequency device are the same, and if yes, the first frequency device and the second frequency device have the same frequency interference; and if not, the reciprocal of the interval of the assigned frequency points of the first frequency equipment and the second frequency equipment is used as the measurement value of the adjacent frequency interference risk.
For specific limitations of the frequency-using plan modeling device based on multi-objective optimization, reference may be made to the above limitations of the frequency-using plan modeling method based on multi-objective optimization, which are not described herein again. All or part of each module in the multi-objective optimization-based frequency planning modeling device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a multi-objective optimization-based frequency plan modeling method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. A frequency plan modeling method based on multi-objective optimization is characterized by comprising the following steps:
acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
setting the meta-tasks in the meta-task information for describing the single frequency equipment planning scheme according to the variable information as follows:
wherein, UijkvFrequency device w for representationiUsing frequency point sfjTransmitting power spkThe horizontal and vertical geographic coordinates of the frequency platform in which the frequency platform is located are scv(ii) a The Equipment Id represents the frequency equipment identification information; the stageId represents the platform identification information of the frequency utilization equipment; frequency indicates the Frequency deviceThe use frequency point of (2); power represents the transmission Power of the frequency equipment; CordX represents the x-axis coordinate position of the frequency using device, and CordY represents the y-axis coordinate position of the frequency using device;
obtaining decision variables according to the meta-task information as follows:
wherein x isijkvRepresenting the meta-task UijkvIf the meta-task is executed, xijkv1; otherwise xijkv＝0；NWRepresenting the number of the frequency-using devices;
representing the number of the selectable frequency points;
representing the number of selectable power values;
representing the number of selectable horizontal and vertical geographic coordinates;
according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions;
and solving the multi-objective optimization model to obtain a scheme package of the frequency utilization planning of the frequency utilization system.
2. The method of claim 1, wherein the obtaining variable information of the frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use, and the method comprises the following steps:
acquiring variable information of a frequency-using system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use; the variable information comprises frequency-using platform identification information, frequency-using equipment identification information, a platform serial number where the frequency-using equipment is located, frequency-using requirement priority information, interference threshold information, frequency-using period identification information, selectable frequency spectrum resource information, selectable frequency information, selectable transmitting power information and selectable geographical coordinate information.
3. The method according to claim 2, wherein according to the decision variable information, a multi-objective optimization model for frequency planning is constructed by taking the minimum co-channel interference among the frequency-using devices, the highest requirement satisfaction and the lowest risk of adjacent channel interference as optimization objectives and taking spectrum resource constraint, co-platform position consistency constraint and frequency-using device uniqueness constraint as constraint conditions, and the method comprises the following steps:
according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions; the frequency point selected by the frequency using equipment is in the intersection of the available frequency spectrum resource and the selectable frequency information of the frequency using equipment; the same-platform position consistency constraint means that the geographic coordinates of different frequency utilization equipment on the same frequency utilization platform are consistent; the uniqueness constraint of the frequency utilization equipment means that the frequency utilization equipment can only execute comprehensive scheduling of frequency, power and geographic coordinates once.
4. The method according to claim 3, wherein according to the decision variable information, a multi-objective optimization model for frequency planning is constructed by taking the minimum co-channel interference among the frequency-using devices, the highest requirement satisfaction and the lowest risk of adjacent channel interference as optimization objectives and taking spectrum resource constraint, co-platform position consistency constraint and frequency-using device uniqueness constraint as constraint conditions, and the method comprises the following steps:
according to the decision variable information, constructing a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization targets and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions; the method for judging the same frequency interference and the adjacent frequency interference comprises the following steps:
judging whether the two frequency utilization devices have frequency utilization time periods of joint work or not, and if not, judging that the two frequency utilization devices do not have the possibility of electromagnetic interference;
and if the electromagnetic interference possibility exists, analyzing the electromagnetic interference possibility among the frequency-using devices through a free propagation model.
5. The method of claim 4, wherein the step of analyzing the electromagnetic interference potential between the frequency-using devices through a free-propagation model comprises:
acquiring the transmitting power of a transmitting signal of first frequency equipment and the propagation loss of the transmitting signal when the transmitting signal reaches a second frequency equipment receiver;
obtaining a received signal level received by a receiver of the second frequency device according to the transmitting power and the propagation loss;
and comparing the received signal level with a threshold value in the interference threshold information, and when the received signal level is greater than or equal to the threshold value, judging that the first frequency device and the second frequency device have the possibility of interference.
6. The method of claim 5, wherein determining the likelihood of interference between the first frequency device and the second frequency device when the received signal level is greater than or equal to the threshold further comprises:
judging whether the working frequency points of the first frequency equipment and the second frequency equipment are the same or not, and if so, judging that the first frequency equipment and the second frequency equipment have same frequency interference;
and if not, the reciprocal of the interval of the assigned frequency points of the first frequency equipment and the second frequency equipment is used as the measurement value of the adjacent frequency interference risk.
7. A multi-objective optimization-based frequency planning device is characterized by comprising:
the variable information acquisition module is used for acquiring variable information of the frequency system; the frequency utilization system comprises a plurality of frequency utilization platforms, a plurality of frequency utilization devices, and a frequency utilization process comprises a plurality of frequency utilization time periods; the same frequency point can be allocated to a plurality of frequency utilization devices in different frequency utilization periods for use;
a decision variable definition module, configured to set, according to the variable information, a meta task in meta task information used for describing a single frequency device planning scheme as:
wherein, UijkvFrequency device w for representationiUsing frequency point sfjTransmitting power spkThe horizontal and vertical geographic coordinates of the frequency platform are scv(ii) a The Equipment Id represents the frequency equipment identification information; the stageId represents the platform identification information of the frequency utilization equipment; frequency represents the use Frequency point of the Frequency-using equipment; power represents the transmission Power of the frequency equipment; CordX represents the x-axis coordinate position of the frequency using device, and CordY represents the y-axis coordinate position of the frequency using device;
obtaining decision variables according to the meta-task information as follows:
wherein x isijkvRepresent the meta-task UijkvIn the form of a finished productState, if the metatask is executed, xijkv1; otherwise xijkv＝0；NWRepresenting the number of the frequency utilization equipment;
representing the number of the selectable frequency points;
represents the number of selectable power values;
representing the number of selectable horizontal and vertical geographic coordinates;
the multi-objective optimization model building module is used for building a multi-objective optimization model of frequency utilization planning by taking the minimum co-frequency interference among the frequency utilization equipment, the highest requirement satisfaction and the lowest adjacent frequency interference risk as optimization objectives and taking frequency spectrum resource constraint, same-platform position consistency constraint and frequency utilization equipment uniqueness constraint as constraint conditions according to the decision variable information;
and the planning scheme packet acquisition module is used for solving the multi-objective optimization model to obtain the scheme packet of the frequency utilization system frequency utilization planning.
8. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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