CN113573412B - Frequency spectrum dynamic allocation method, system, equipment and storage medium - Google Patents
Frequency spectrum dynamic allocation method, system, equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/535—Allocation or scheduling criteria for wireless resources based on resource usage policies
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Abstract
The disclosure discloses a method, a system, a device and a storage medium for dynamically allocating frequency spectrum, comprising: acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result; calculating the capacity of the existing idle frequency band; judging whether the existing idle frequency spectrum can meet the service capacity requirement, if not, updating the requirement, and returning to calculate the service requirement; if yes, entering the next step; comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; and outputting the optimal frequency spectrum allocation scheme. And equipment load indexes corresponding to the allocated frequency bands are introduced, so that network congestion caused by the frequency bands allocated can be avoided. The cost index of the corresponding frequency band equipment is introduced, so that the cost reduction and synergy can be realized, and the benefits of operators are improved.
Description
Technical Field
The disclosure relates to the technical field of mobile communication, and in particular relates to a method, a system, equipment and a storage medium for dynamically allocating frequency spectrums.
Background
The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art.
As a new generation of mobile communication technology, 5G is considered to meet not only the communication needs of people but also the communication needs of people and things.
In one aspect, the 5G network is currently in the initial deployment stage, and the 4G network is still the main bearer network for traffic. In order to improve spectrum utilization efficiency, consideration needs to be given to how the 4G/5G network dynamically shares limited spectrum resources.
On the other hand, in order to improve the efficiency of 5G network construction, operators can respectively take out partial frequency bands to carry out shared construction, so that the multiplication of network coverage and the multiplication of speed are realized. But it needs to be considered how to achieve dynamic sharing of the shared frequency resources.
How to match spectrum demand and spectrum resource supply is mainly considered in the aspect of spectrum resource sharing at present. The matching scheme is mainly considered from the following two aspects:
(1) The spectrum demand is mainly considered in terms of spectrum demand.
(2) The existing idle spectrum resource and interference are mainly considered in the aspect of spectrum resource supply.
The prior art has the following disadvantages:
(1) Only the traffic demand for spectrum is considered in terms of spectrum demand, and the demands of different services for coverage, delay, uplink/downlink rate are not considered.
(2) In the aspect of spectrum resource supply, only the condition of the existing idle spectrum resource and interference is considered, and the condition of the load of network equipment corresponding to idle spectrum and the cost of corresponding spectrum is not considered.
(3) In considering spectrum requirements, the requirements for a period of time in the future are not considered.
The lack of consideration of the above three aspects may result in a low matching degree between the demand and the supply, and a frequency spectrum allocation scheme is frequently adjusted, so that the spectrum utilization efficiency is not high.
Disclosure of Invention
In order to solve the defects in the prior art, the present disclosure provides a method, a system, a device and a storage medium for dynamically allocating spectrum; in terms of spectrum requirements, comprehensively considering the requirements of traffic, coverage, time delay and uplink/downlink rate (including edge rate) in a future period of time; in the aspect of spectrum resource supply, the conditions of idle spectrum resources, interference, load of network equipment corresponding to idle spectrum and cost of corresponding spectrum are comprehensively considered, and finally an optimal spectrum allocation scheme is provided.
In a first aspect, the present disclosure provides a method for dynamic allocation of spectrum;
A method of dynamic allocation of spectrum, comprising:
acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result;
Calculating the capacity of the existing idle frequency band;
Judging whether the existing idle frequency spectrum can meet the service capacity requirement, if not, updating the requirement, and returning to calculate the service requirement; if yes, entering the next step;
Comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; and outputting the optimal frequency spectrum allocation scheme.
The method further comprises the steps of: evaluating the frequency band utilization rate, and if the frequency band utilization rate is higher than a set threshold value, not operating; if the frequency band utilization rate is lower than the set threshold value, the frequency band is recycled, and the existing idle frequency band capacity is calculated.
The method further comprises the steps of: evaluating the service demand change, and if the service demand change is lower than a set threshold value, not operating; if the service demand change is higher than the set threshold, updating the demand, and returning to calculate the existing idle frequency band capacity.
In a second aspect, the present disclosure provides a spectrum dynamic allocation system;
a spectrum dynamic allocation system, comprising:
an acquisition module configured to: acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result;
A computing module configured to: calculating the capacity of the existing idle frequency band;
A determination module configured to: judging whether the existing idle frequency spectrum can meet the service capacity requirement, if not, updating the requirement, and returning to the acquisition module; if yes, entering an evaluation module;
an evaluation module configured to: comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; and outputting the optimal frequency spectrum allocation scheme.
The system further comprises:
A reevaluation module configured to: evaluating the frequency band utilization rate, and if the frequency band utilization rate is higher than a set threshold value, not operating; if the frequency band utilization rate is lower than the set threshold value, recycling the frequency band, and returning to the calculation module;
Evaluating the service demand change, and if the service demand change is lower than a set threshold value, not operating; and if the service demand change is higher than the set threshold, updating the demand and returning to the acquisition module.
In a third aspect, the present disclosure also provides an electronic device, including:
A memory for non-transitory storage of computer readable instructions; and
A processor for executing the computer-readable instructions,
Wherein the computer readable instructions, when executed by the processor, perform the method of the first aspect described above.
In a fourth aspect, the present disclosure also provides a storage medium storing non-transitory computer readable instructions, wherein the instructions of the method of the first aspect are executed when the non-transitory computer readable instructions are executed by a computer.
Compared with the prior art, the beneficial effects of the present disclosure are:
(1) In terms of service requirements, the requirements in terms of service capacity, time delay, uplink/downlink rate (including edge rate) and coverage of a future period are comprehensively considered. In addition, it is necessary to dynamically evaluate whether the traffic demand change exceeds a threshold, and if it is lower than the threshold, the spectrum allocation scheme is not adjusted. On the one hand, the consideration of special requirements of the service (such as time delay, uplink edge rate and the like) is increased; on the other hand, the overall optimization of the spectrum allocation scheme can be achieved by considering the requirement of a period of time in the future and dynamically evaluating the change situation of the service requirement, and frequent adjustment of the spectrum allocation scheme is avoided.
(2) In the evaluation of the spectrum allocation scheme or the formulation of the spectrum allocation scheme, comprehensive evaluation or consideration is proposed from 2 dimensions of the demand-supply matching degree and the network benefit.
And equipment load indexes corresponding to the allocated frequency bands are introduced, so that network congestion caused by the frequency bands allocated can be avoided.
The cost index of the corresponding frequency band equipment is introduced, so that the cost reduction and synergy can be realized, and the benefits of operators are improved.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the exemplary embodiments of the disclosure and together with the description serve to explain the disclosure, and do not constitute an undue limitation on the disclosure.
Fig. 1 is a flow chart of dynamic spectrum allocation according to a first embodiment;
FIGS. 2 (a) -2 (b) are schematic diagrams of the free spectrum of the first embodiment;
Fig. 3 (a) -3 (b) are schematic diagrams of spectrum allocation schemes of the first embodiment;
fig. 4 shows the spectrum allocation every half year after the first embodiment.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular forms also are intended to include the plural forms, and furthermore, it is to be understood that the terms "comprises" and "comprising" and any variations thereof are intended to cover non-exclusive inclusions, such as, for example, processes, methods, systems, products or devices that comprise a series of steps or units, are not necessarily limited to those steps or units that are expressly listed, but may include other steps or units that are not expressly listed or inherent to such processes, methods, products or devices.
Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
All data acquisition in the embodiment is legal application of the data on the basis of meeting laws and regulations and agreements of users.
Example 1
The embodiment provides a frequency spectrum dynamic allocation method;
As shown in fig. 1, a method for dynamically allocating spectrum includes:
S101: acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result;
S102: calculating the capacity of the existing idle frequency band;
S103: judging whether the existing idle frequency spectrum can meet the service requirement, if not, updating the requirement, and returning to S101; if yes, go to S104;
S104: comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; outputting an optimal spectrum allocation scheme;
S105: evaluating the frequency band utilization rate, and if the frequency band utilization rate is higher than a set threshold value, not acting; if the frequency band utilization rate is lower than the set threshold, recycling the frequency band lower than the set threshold, and returning to S102;
Evaluating the service demand change, and if the service demand change rate is lower than a set threshold value, not acting; if the service demand change rate is higher than the set threshold, the current service demand is replaced with the changed service demand, and the process returns to S101.
Further, the step S101: calculating the service demand; the method specifically comprises the following steps:
And calculating the signal coverage range, the capacity requirement (flow requirement or traffic requirement) of the service, the uplink speed, the downlink speed and the transmission delay of the mobile user terminal.
Further, the step S102: the method for calculating the capacity of the existing idle frequency band specifically comprises the following steps:
substituting the available maximum channel bandwidth of the existing idle frequency band into a shannon formula, and calculating the maximum network transmission rate/bandwidth.
Shannon formula:
C＝B*log2(1+S/N)，
Wherein: b is the channel bandwidth, S is the average power of the transmitted signal within the channel, N is the gaussian noise power within the channel, and C is the maximum network transmission rate.
Further, the step S104: comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; the method specifically comprises the following steps:
S1041: the evaluation index of the demand-supply matching degree is set as follows: time delay, uplink speed, downlink speed and coverage area;
Setting evaluation indexes of network benefits as follows: corresponding frequency band equipment load, corresponding frequency band equipment interference and corresponding frequency band equipment cost; the corresponding frequency band equipment costs include, but are not limited to, equipment investment costs and equipment maintenance costs;
S1042: the method comprises the steps of giving weight to an evaluation index of the demand-supply matching degree and an evaluation index of the network benefit;
S1043: based on the weight and the index value, carrying out weighted summation to obtain a comprehensive evaluation score;
S1044: and sequencing the comprehensive evaluation scores according to the sequence from high to low, and taking the first sequencing scheme as the optimal spectrum allocation scheme.
Further, the sum of the weights of the parts is 1 between 0 and 1, and the more important parts are given higher weights according to the strategy.
For the value of the matching degree index, the higher the satisfaction degree is, the higher the score is.
Of course, as the service requirements are continuously enriched, some services have severe delay requirements, for example: industrial control, autopilot, etc.
In addition, some internet of things services are also different from existing people in communication, for example: the monitoring class of service has a greater requirement for the uplink rate than the downlink rate.
In order to meet the above-mentioned service requirements, it is proposed to allocate the relevant spectrum independently, so that the relevant parameters (e.g. uplink and downlink timeslot ratio, etc.) can be optimized independently to meet the service requirements.
The closer the load of the equipment in the corresponding frequency band is to the highest threshold value, the higher the score is; the smaller the interference the higher the score; the lower the cost of the corresponding frequency band device, the higher the score.
The spectrum allocation scheme with the highest comprehensive value can be obtained by using a genetic algorithm, a related neural network algorithm and the like.
In terms of service requirements, the embodiment of the application provides the requirements of comprehensively considering service capacity, time delay, uplink/downlink rate (including edge rate) and coverage in a future period. In addition, it is necessary to dynamically evaluate whether the traffic demand change exceeds a threshold, and if it is lower than the threshold, the spectrum allocation scheme is not being adjusted.
In the spectrum allocation scheme evaluation, the embodiment of the application provides a comprehensive spectrum allocation scheme which is evaluated from two dimensions of the demand-supply matching degree and the network benefit. Or a genetic algorithm, a related neural network algorithm and the like are utilized to obtain the spectrum allocation scheme with the highest combined value of the two dimensions as an optimal spectrum allocation scheme. Wherein: network benefits include, but are not limited to, dimensions of corresponding frequency band device load, interference, corresponding frequency band device cost, and the like.
Taking a certain operator 4/5G spectrum allocation as an example, a simple illustration is:
1. capacity requirement:
assuming that the service requirements for 4/5G in the next 2 years, which require shared spectrum, are shown in the left half of table 1, include a 4G service requirement, a 5G normal service requirement, and a 5G special service requirement (e.g., ultra-low latency, high uplink rate), the unit is AGbps. The corresponding 1AGbps requires 20M spectrum to meet its needs and the minimum allocated spectrum width is 10M. The corresponding spectrum width requirements are shown in the right half of table 1.
Table 1 4/5G traffic capacity requirement and spectrum width requirement
2. Free spectrum
It is assumed that a certain operator 4/5G is idle spectrum as shown in fig. 2 (a) and fig. 2 (b).
3. Spectrum allocation scheme
Based on the method proposed by the application, the main considerations are as follows:
(1) Capacity aspect: 20M spectrum is needed to meet the requirement according to 1AGbps, and the existing idle spectrum can meet the requirement.
(2) Coverage aspect: considering that 5G coverage is more important than 4G, the low frequency spectrum is preferentially allocated to the 5G network.
(3) 5G special traffic (e.g., latency, upstream edge rate) requirements: consideration needs to be given to using the 4.9G exclusive band for satisfaction.
(4) The corresponding frequency band equipment load aspect: cannot exceed the highest threshold
(5) The cost aspect of the corresponding frequency band equipment: low frequency devices are assumed to be low cost.
(6) Interference aspects: to reduce interference, a slice of spectrum is allocated as much as possible.
Based on the above considerations, the optimal spectrum allocation scheme is as follows:
As shown in fig. 3 (a) and 3 (b), the 4G service requirement allocates a 40M spectrum of a 2.6G high frequency part, and the 5G normal service requirement allocates a 120M spectrum of a 2.6G low frequency part, and thus, the 40M of the 4.9G low frequency part is also allocated to the 5G normal service use in consideration of a higher device load corresponding to the frequency band. For the 5G special service requirement, 40M of the high frequency part in 4.9G is allocated for its use. The higher frequency portion in 4.9G is the white space.
The spectrum allocation situation for each subsequent half year is shown in fig. 4. As can be seen from fig. 4, as the 4G service demand gradually decreases, 10M thereof can be reclaimed as a free spectrum for use in 12 months of the second year.
Example two
The embodiment provides a frequency spectrum dynamic allocation system;
a spectrum dynamic allocation system, comprising:
an acquisition module configured to: acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result;
A computing module configured to: calculating the capacity of the existing idle frequency band;
a determination module configured to: judging whether the existing idle frequency spectrum can meet the service requirement, if not, updating the requirement, and returning to the acquisition module; if yes, entering an evaluation module;
an evaluation module configured to: comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; outputting an optimal spectrum allocation scheme;
A reevaluation module configured to: evaluating the frequency band utilization rate, and if the frequency band utilization rate is higher than a set threshold value, not operating; if the frequency band utilization rate is lower than the set threshold value, recycling the frequency band lower than the set threshold value, and returning to the calculation module;
Evaluating the service demand change, and if the service demand change rate is lower than a set threshold value, not operating; if the service demand change rate is higher than the set threshold, changing the service demand into the current service demand, and returning to the acquisition module;
an acquisition module configured to: receiving traffic demands including, but not limited to, coverage, capacity, edge rate, latency, etc. demands; and the method is responsible for receiving information such as idle frequency spectrum, utilization rate of each frequency band, equipment load of the corresponding frequency band and the like.
A storage module configured to: and storing the received service requirements, the idle frequency spectrum, the utilization rate of each frequency band and the relevant information of the equipment load of the corresponding frequency band. And stores the corresponding frequency band equipment cost, the related evaluation strategy or the neural network algorithm.
An update module configured to: updating information in the storage unit.
It should be noted that the above-mentioned obtaining module, calculating module, judging module, evaluating module and re-evaluating module correspond to steps S101 to S105 in the first embodiment, and the above-mentioned modules are the same as examples and application scenarios implemented by the corresponding steps, but are not limited to the disclosure of the first embodiment. It should be noted that the modules described above may be implemented as part of a system in a computer system, such as a set of computer-executable instructions.
The foregoing embodiments are directed to various embodiments, and details of one embodiment may be found in the related description of another embodiment.
The proposed system may be implemented in other ways. For example, the system embodiments described above are merely illustrative, such as the division of the modules described above, are merely a logical function division, and may be implemented in other manners, such as multiple modules may be combined or integrated into another system, or some features may be omitted, or not performed.
Example III
The embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein the processor is coupled to the memory, the one or more computer programs being stored in the memory, the processor executing the one or more computer programs stored in the memory when the electronic device is running, to cause the electronic device to perform the method of the first embodiment.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include read only memory and random access memory and provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store information of the device type.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software.
The method in the first embodiment may be directly implemented as a hardware processor executing or implemented by a combination of hardware and software modules in the processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method. To avoid repetition, a detailed description is not provided herein.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
Example IV
The present embodiment also provides a computer-readable storage medium storing computer instructions that, when executed by a processor, perform the method of embodiment one.
The foregoing description of the preferred embodiments of the present disclosure is provided only and not intended to limit the disclosure so that various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Claims (7)
1. A frequency spectrum dynamic allocation method is applied to a dynamic frequency spectrum resource sharing scene of a 4G network and a 5G network, and is characterized by comprising the following steps:
acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result;
Calculating the capacity of the existing idle frequency band;
Judging whether the existing idle frequency spectrum can meet the service capacity requirement, if not, updating the requirement, and returning to calculate the service requirement; if yes, entering the next step;
comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; outputting an optimal spectrum allocation scheme; the method specifically comprises the following steps:
(1): the evaluation index of the demand-supply matching degree is set as follows: service capacity, time delay, uplink rate, downlink rate and coverage area in a future period of time; setting evaluation indexes of network benefits as follows: corresponding frequency band equipment load, corresponding frequency band equipment interference and corresponding frequency band equipment cost; the corresponding frequency band equipment costs include, but are not limited to, equipment investment costs and equipment maintenance costs;
(2): the method comprises the steps of giving weight to an evaluation index of the demand-supply matching degree and an evaluation index of the network benefit;
(3): based on the weight and the index value, carrying out weighted summation to obtain a comprehensive evaluation score;
(4): sequencing the comprehensive evaluation scores according to the sequence from high to low, and taking the first sequencing scheme as an optimal spectrum allocation scheme;
The method further comprises the steps of:
Evaluating the frequency band utilization rate, and if the frequency band utilization rate is higher than a set threshold value, not operating; if the frequency band utilization rate is lower than the set threshold value, the frequency band is recycled, and the existing idle frequency band capacity is calculated.
2. The method of dynamic allocation of spectrum according to claim 1, wherein said method further comprises:
evaluating the service demand change, and if the service demand change is lower than a set threshold value, not operating; if the service demand change is higher than the set threshold, updating the demand, and returning to calculate the existing idle frequency band capacity.
3. The method for dynamically allocating spectrum according to claim 1, wherein the service requirement is calculated; the method specifically comprises the following steps:
and calculating the signal coverage range, the capacity requirement of the service, the uplink speed, the downlink speed and the transmission delay of the mobile user terminal.
4. The method for dynamically allocating spectrum according to claim 1, wherein calculating the capability of the existing idle frequency band comprises:
substituting the available maximum channel bandwidth of the existing idle frequency band into a shannon formula, and calculating the maximum network transmission rate/bandwidth.
5. A spectrum dynamic allocation system employing a spectrum dynamic allocation method as claimed in claim 1, comprising:
an acquisition module configured to: acquiring a service demand initiated by a terminal, and calculating the service demand to obtain a service demand calculation result;
A computing module configured to: calculating the capacity of the existing idle frequency band;
A determination module configured to: judging whether the existing idle frequency spectrum can meet the service capacity requirement, if not, updating the requirement, and returning to the acquisition module; if yes, entering an evaluation module;
an evaluation module configured to: comprehensively evaluating a spectrum allocation scheme from the demand-supply matching degree and the network benefit dimension; and outputting the optimal frequency spectrum allocation scheme.
6. An electronic device, comprising:
A memory for non-transitory storage of computer readable instructions; and
A processor for executing the computer-readable instructions,
Wherein the computer readable instructions, when executed by the processor, perform the method of any of the preceding claims 1-4.
7. A storage medium, characterized by non-transitory storing computer readable instructions, wherein the computer readable instructions, when executed by a computer, perform the instructions of the method of any of claims 1-4.
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