CN108933635B - Method and device for evaluating frequency spectrum value - Google Patents

Method and device for evaluating frequency spectrum value Download PDF

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CN108933635B
CN108933635B CN201810785091.2A CN201810785091A CN108933635B CN 108933635 B CN108933635 B CN 108933635B CN 201810785091 A CN201810785091 A CN 201810785091A CN 108933635 B CN108933635 B CN 108933635B
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spectrum
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CN108933635A (en
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裴郁杉
许珺
朱常波
冯毅
聂昌
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China United Network Communications Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
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Abstract

The invention provides a method and a device for evaluating frequency spectrum value, relates to the technical field of communication, and solves the problem that for potential frequency spectrums of different frequency bands, an optimal frequency spectrum cannot be selected according to the values of the frequency spectrums of the different frequency bands. The method comprises the following steps: acquiring spectrum parameters of at least one spectrum to be evaluated and a comparative example spectrum; price VB and frequency band factor omega of the comparative example according to the frequency spectrum of the comparative example1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated; and generating a value evaluation result of the at least one frequency spectrum to be evaluated according to the frequency spectrum price of the at least one frequency spectrum to be evaluated. The embodiment of the invention is used for evaluating the value of the frequency spectrum.

Description

Method and device for evaluating frequency spectrum value
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for evaluating a spectrum value.
Background
The wireless spectrum is a limited resource with economic and social values, and different spectrums have different propagation characteristics, bandwidths, industrial chain ecology, electromagnetic environments and other different characteristics; therefore, how to select the optimal frequency spectrum according to the value of the frequency spectrums in different frequency bands becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a method and a device for evaluating frequency spectrum value, which solve the problem that for potential frequency spectrums of different frequency bands, an optimal frequency spectrum cannot be selected according to the frequency spectrum values of the different frequency bands.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, embodiments of the present invention provide a rating of spectral valueA method of estimating, comprising: acquiring spectrum parameters of at least one spectrum to be evaluated and a comparative example spectrum; wherein the spectral parameters include at least one or more of: frequency f, bandwidth W, number M of stations of existing service requiring protection1(f) And the implementation cost V of each station1(f) The number M of IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting a specified spectrum in the network2(f) And specifying a total number of terminals n within the network3The designated spectrum includes: a spectrum to be evaluated or a comparative example spectrum; according to the frequency f of the spectrum to be evaluated1And frequency f of the comparative example spectrum0Determining the frequency band factor omega1(ii) a According to the bandwidth W of the frequency spectrum to be evaluated1And bandwidth W of the comparative example spectrum0Determining the bandwidth factor omega2(ii) a Number N (f) of stations of existing services requiring geographical isolation according to the spectrum to be evaluated1) The required separation distance D (f) for each station of the spectrum to be evaluated1) Deploying a target coverage area S (f) of the network by using the spectrum to be evaluated without considering interference coexistence1) Number N (f) of stations of existing service requiring regional isolation of the comparative example spectrum0) Distance of isolation required for each station comparing example spectra D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining a multiplier coefficient omega3(ii) a According to the actual number N of the operation networks currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the actual number N of operating networks currently aggregated by the example spectrum1(f0) Determining the network factor omega4,1(ii) a According to the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the number n of actual terminal patterns currently aggregated by the example spectrum1(f0) Determining a termination factor omega4,2(ii) a Or according to the actual number n of terminals supporting the spectrum to be evaluated in the designated network2(f1) Specifying the number n of actual terminals supporting the spectrum of the comparative example within the network2(f0) And specifying a total number of terminals n within the network3Determining a termination factor omega4,2(ii) a Number M of stations of an existing service requiring protection according to the spectrum to be evaluated1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Number M of stations comparing existing services of the example spectrum that need protection1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the spectrum of the comparative example which need to be additionally added to meet the coexistence with the existing services2(f0) Implementation cost per IMT base station of the comparative example spectrum V2(f0) Determining an additive coefficient Δ1(ii) a Price VB and frequency band factor omega of the comparative example according to the frequency spectrum of the comparative example1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated; and generating a value evaluation result of the at least one frequency spectrum to be evaluated according to the frequency spectrum price of the at least one frequency spectrum to be evaluated.
According to the scheme, each frequency spectrum to be evaluated is compared with the frequency spectrum of the comparative example, the frequency spectrum price of each frequency spectrum to be evaluated is calculated, and meanwhile, the value evaluation result of at least one frequency spectrum to be evaluated is generated according to the frequency spectrum price of at least one frequency spectrum to be evaluated; therefore, the frequency utilization unit can compare different frequency spectrums to be evaluated according to the value evaluation result, and the optimal frequency spectrum is conveniently selected when the frequency utilization unit carries out network deployment; the problem that the optimal frequency spectrum can not be selected according to the values of the frequency spectrums in different frequency bands for potential frequency spectrums in different frequency bands when a frequency unit is used for network deployment is solved.
Optionally, according to the frequency f of the spectrum to be evaluated1And frequency f of the comparative example spectrum0Determining the frequency band factor omega1The method comprises the following steps: according to the frequency f of the spectrum to be evaluated1Determining the coverage radius d of the spectrum to be evaluated1(f1) (ii) a Frequency f according to the comparative example spectrum0Determining the coverage radius d of the comparative example spectrum0(f0) (ii) a According to the coverage radius d of the frequency spectrum to be evaluated1(f1) And coverage radius d of comparative example spectrum0(f0) Determining the frequency band factor omega1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000031
optionally, the bandwidth W is determined according to the frequency spectrum to be evaluated1And bandwidth W of the comparative example spectrum0Determining the bandwidth factor omega2The method comprises the following steps:
according to a first calculation formula and the bandwidth W of the frequency spectrum to be evaluated1Determining the intermediate factor omega of the spectrum to be evaluated2s(W1,f1) (ii) a Wherein the first calculation formula includes:
Figure GDA0003085255580000032
wherein, γ1Represents the minimum carrier bandwidth, gamma, of a given spectrum to implement the basic service2Representing the bandwidth, gamma, of a given spectrum for conventional traffic3The maximum transmission bandwidth of a transmitter of a specified frequency spectrum is represented, alpha represents the ratio of the coverage area of conventional services to the target coverage area of a network deployed by using the specified frequency spectrum when interference is not considered to coexist, and W represents the bandwidth of the specified frequency spectrum; bandwidth W of spectrum according to first calculation formula and comparative example0Determining the median factor omega of the spectrum of the comparative example2s(W0,f0) (ii) a According to the intermediate factor omega of the frequency spectrum to be evaluated2s(W1,f1) And the median factor ω of the comparative example spectrum2s(W0,f0) Determining the bandwidth factor omega2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000033
optionally, the number of stations N (f) of existing services requiring regional isolation of the spectrum to be evaluated1) The required separation distance D (f) for each station of the spectrum to be evaluated1) Deploying a target coverage area S (f) of the network by using the spectrum to be evaluated without considering interference coexistence1) Number N (f) of stations of existing service requiring regional isolation of the comparative example spectrum0) Distance of isolation required for each station comparing example spectra D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining a multiplier coefficient omega3The method comprises the following steps:
the number N (f) of the stations of the existing service requiring the regional isolation of the frequency spectrum to be evaluated according to the second calculation formula1) The required separation distance D (f) for each station of the spectrum to be evaluated1) And deploying a target coverage area S (f) of the network by using the spectrum to be evaluated without considering interference coexistence1) Determining an interference coexistence solution coefficient omega3s(f1) (ii) a Wherein the second calculation formula includes:
Figure GDA0003085255580000041
comparing the number N (f) of stations of existing service requiring regional isolation of the example spectrum according to a second calculation formula0) Distance of isolation required for each station comparing example spectra D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining an interference coexistence solution coefficient omega3s(f0) (ii) a Interference coexistence solution coefficient omega according to frequency spectrum to be evaluated3s(f1) And interference coexistence solution coefficient ω of the comparative example spectrum3s(f0) Determining a multiplierCoefficient omega3(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000042
optionally, the actual number N of operating networks currently aggregated according to the spectrum to be evaluated1(f1) And comparing the actual number N of operating networks currently aggregated by the example spectrum1(f0) Determining the network factor omega4,1The method comprises the following steps: according to the actual number N of the operation networks currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the actual number N of operating networks currently aggregated by the example spectrum1(f0) Determining the network factor omega4,1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000043
wherein N is2(f1) Representing a target number, N, of operating networks aggregated over a spectrum to be evaluated2(f0) Representing a target number of operating networks aggregated over the comparative example spectrum.
Optionally, the number n of the actual terminal styles currently aggregated according to the frequency spectrum to be evaluated1(f1) And comparing the number n of actual terminal patterns currently aggregated by the example spectrum1(f0) Determining a termination factor omega4,2The method comprises the following steps: according to the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the number n of actual terminal patterns currently aggregated by the example spectrum1(f0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000051
wherein n is4(f1) Representing the target number, n, of terminal styles aggregated on the spectrum to be evaluated4(f0) The target number of terminal styles aggregated on the example spectrum is compared.
Optionally, the number n of the actual terminals supporting the spectrum to be evaluated in the designated network is determined2(f1) Specifying the number n of actual terminals supporting the spectrum of the comparative example within the network2(f0) And specifying a total number of terminals n within the network3Determining a termination factor omega4,2The method comprises the following steps: according to the actual number n of terminals supporting the frequency spectrum to be evaluated in the designated network2(f1) And specifying a total number of terminals n within the network3Determining the terminal permeability H (f) of the spectrum to be evaluated1) (ii) a According to the actual number n of terminals supporting the frequency spectrum of the comparative example in the designated network2(f0) And specifying a total number of terminals n within the network3Determining the terminal permeability H (f) of the comparative example spectrum0) (ii) a Terminal penetration H (f) according to the spectrum to be evaluated1) And terminal permeability H (f) of the comparative example spectrum0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000052
optionally, the number M of stations of an existing service to be protected according to the spectrum to be evaluated1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Number M of stations comparing existing services of the example spectrum that need protection1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the spectrum of the comparative example which need to be additionally added to meet the coexistence with the existing services2(f0) Implementation cost per IMT base station of the comparative example spectrum V2(f0) Determining an additive coefficient Δ1The method comprises the following steps: according to a third calculation formula, the number M of stations of the existing service requiring protection of the spectrum to be evaluated1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) Each IMT base station of the spectrum to be evaluatedIs implemented at a cost V2(f1) (ii) a Wherein the third calculation formula includes:
Figure GDA0003085255580000053
wherein w (f) represents the bandwidth of the specified spectrum; comparing the number M of stations of the existing service requiring protection of the example spectrum according to a third calculation formula1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the spectrum of the comparative example which need to be additionally added to meet the coexistence with the existing services2(f0) Implementation cost per IMT base station of the comparative example spectrum V2(f0) Determining an interference coexistence solution factor Δ1s(f0) (ii) a Interference coexistence solution factor delta according to the spectrum to be evaluated1s(f1) Interference coexistence solving factor Δ with comparative example spectrum1s(f0) Determining an additive coefficient Δ1(ii) a Wherein, Delta1=Δ1s(f1)-Δ1s(f0)。
Optionally, the price VB and the frequency band factor ω of the comparative example are based on the frequency spectrum of the comparative example1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated, comprising the following steps: price VB and frequency band factor omega of the comparative example according to the frequency spectrum of the comparative example1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price V of the frequency spectrum to be evaluated; wherein V is VB x ω1×ω2×ω3×ω4,1×ω4,21
In a second aspect, an embodiment of the present invention provides an apparatus for evaluating a spectrum value, including: the acquisition module is used for acquiring at least one spectrum to be evaluated and spectrum parameters of the comparative example spectrum; it is composed ofThe spectral parameters include at least one or more of: frequency f, bandwidth W, number M of stations of existing service requiring protection1(f) And the implementation cost V of each station1(f) The number M of IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting a specified spectrum in the network2(f) And specifying a total number of terminals n within the network3The designated spectrum includes: a spectrum to be evaluated or a comparative example spectrum; a processing module for obtaining the frequency f of the frequency spectrum to be evaluated1And the frequency f of the comparative example spectrum acquired by the acquisition module0Determining the frequency band factor omega1(ii) a The processing module is further used for obtaining the bandwidth W of the frequency spectrum to be evaluated according to the obtaining module1And the bandwidth W of the comparative example frequency spectrum acquired by the acquisition module0Determining the bandwidth factor omega2(ii) a The processing module is also used for obtaining the number N (f) of the stations of the existing service needing region isolation of the frequency spectrum to be evaluated according to the obtaining module1) And obtaining the required isolation distance D (f) of each station of the frequency spectrum to be evaluated acquired by the module1) And the target coverage area S (f) acquired by the acquisition module and used for deploying the network by using the frequency spectrum to be evaluated when the interference coexistence is not considered1) The number N (f) of the stations of the existing service needing region isolation of the comparative example frequency spectrum acquired by the acquisition module0) The isolation distance D (f) required by each station of the comparative example frequency spectrum acquired by the acquisition module0) And the target coverage area S (f) of the network is deployed by using the frequency spectrum of the comparative example when the acquisition module acquires the coexistence without considering the interference0) Determining a multiplier coefficient omega3(ii) a The processing module is further used for obtaining the actual number N of the operation networks currently aggregated by the frequency spectrum to be evaluated according to the obtaining module1(f1) Operation of current aggregation of comparative example spectrum acquired by acquisition moduleActual number of networks N1(f0) Determining the network factor omega4,1(ii) a The processing module is also used for obtaining the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated according to the obtaining module1(f1) The number n of the actual terminal styles currently aggregated by the comparative example frequency spectrum acquired by the acquisition module1(f0) Determining a termination factor omega4,2(ii) a Or, the processing module is further configured to obtain the actual number n of terminals supporting the spectrum to be evaluated in the designated network according to the obtaining module2(f1) The actual number n of the terminals supporting the frequency spectrum of the comparative example in the designated network acquired by the acquisition module2(f0) And the total number n of the terminals in the designated network acquired by the acquisition module3Determining a termination factor omega4,2(ii) a The processing module is further used for obtaining the number M of the stations of the existing service needing protection of the frequency spectrum to be evaluated according to the obtaining module1(f1) Obtaining the implementation cost V of each station of the frequency spectrum to be evaluated acquired by the module1(f1) The number M of the IMT base stations which need to additionally increase devices in order to meet the coexistence with the existing services of the frequency spectrum to be evaluated and acquired by the acquisition module2(f1) Obtaining the implementation cost V of each IMT base station of the frequency spectrum to be evaluated acquired by the module2(f1) The number M of stations of the existing service needing protection of the comparative example frequency spectrum acquired by the acquisition module1(f0) Acquisition module, and implementation cost V of each station of the comparative example spectrum1(f0) The number M of IMT base stations which need to be additionally provided with devices in order to meet the coexistence with the existing services of the frequency spectrum of the comparative example acquired by the acquisition module2(f0) Obtaining the implementation cost V of each IMT base station of the comparative example frequency spectrum obtained by the obtaining module2(f0) Determining an additive coefficient Δ1(ii) a The processing module is also used for comparing the example price VB and the frequency band factor omega according to the comparative example frequency spectrum1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated; raw materialAnd the forming module is used for generating a value evaluation result of at least one frequency spectrum to be evaluated according to the frequency spectrum price of the at least one frequency spectrum to be evaluated determined by the processing module.
Optionally, the processing module is specifically configured to obtain the frequency f of the frequency spectrum to be evaluated according to the frequency obtained by the obtaining module1Determining the coverage radius d of the spectrum to be evaluated1(f1) (ii) a A processing module, specifically for obtaining the frequency f of the comparative example frequency spectrum obtained by the obtaining module0Determining the coverage radius d of the comparative example spectrum0(f0) (ii) a A processing module, in particular for determining a coverage radius d of the spectrum to be evaluated1(f1) And coverage radius d of comparative example spectrum0(f0) Determining the frequency band factor omega1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000081
optionally, the processing module is specifically configured to obtain, according to the first calculation formula and the bandwidth W of the frequency spectrum to be evaluated, the bandwidth W of the frequency spectrum to be evaluated obtained by the obtaining module1Determining the intermediate factor omega of the spectrum to be evaluated2s(W1,f1) (ii) a Wherein the first calculation formula includes:
Figure GDA0003085255580000082
wherein, γ1Represents the minimum carrier bandwidth, gamma, of a given spectrum to implement the basic service2Representing the bandwidth, gamma, of a given spectrum for conventional traffic3The maximum transmission bandwidth of a transmitter of a specified frequency spectrum is represented, alpha represents the ratio of the coverage area of conventional services to the target coverage area of a network deployed by using the specified frequency spectrum when interference is not considered to coexist, and W represents the bandwidth of the specified frequency spectrum; a processing module, specifically configured to obtain the bandwidth W of the comparison example spectrum according to the first calculation formula0Determining the median factor omega of the spectrum of the comparative example2s(W0,f0) (ii) a A processing module, in particular for processing the intermediate factor ω according to the frequency spectrum to be evaluated2s(W1,f1) And the median factor ω of the comparative example spectrum2s(W0,f0) Determining the bandwidth factor omega2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000083
optionally, the processing module is specifically configured to obtain, according to a second calculation formula, the number N (f) of stations of the existing service requiring the region isolation of the frequency spectrum to be evaluated, where the existing service requires the region isolation, of the frequency spectrum to be evaluated1) And obtaining the required isolation distance D (f) of each station of the frequency spectrum to be evaluated acquired by the module1) And the target coverage area S (f) of the frequency spectrum deployment network to be evaluated is used when the interference coexistence is not considered and the acquisition module acquires1) Determining an interference coexistence solution coefficient omega3s(f1) (ii) a Wherein the second calculation formula includes:
Figure GDA0003085255580000091
a processing module, specifically configured to obtain the number N (f) of stations of the existing service requiring region isolation of the comparative example spectrum according to the second calculation formula0) The isolation distance D (f) required by each station of the comparative example frequency spectrum acquired by the acquisition module0) And the target coverage area S (f) of the network is deployed by using the frequency spectrum of the comparative example when the acquisition module acquires the coexistence without considering the interference0) Determining an interference coexistence solution coefficient omega3s(f0) (ii) a A processing module, specifically configured to solve the coefficient ω according to the co-existence of interference of the spectrum to be evaluated3s(f1) And interference coexistence solution coefficient ω of the comparative example spectrum3s(f0) Determining a multiplier coefficient omega3(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000092
optionally, the processing module is specifically configured to obtain the actual number N of the operating networks currently aggregated by the spectrum to be evaluated according to the obtaining module1(f1) And the comparative example frequency spectrum obtained by the obtaining moduleActual number of currently aggregated operating networks N1(f0) Determining the network factor omega4,1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000093
wherein N is2(f1) Representing a target number, N, of operating networks aggregated over a spectrum to be evaluated2(f0) Representing a target number of operating networks aggregated over the comparative example spectrum.
Optionally, the processing module is specifically configured to obtain the number n of the actual terminal styles currently aggregated by the spectrum to be evaluated according to the obtaining module1(f1) The number n of the actual terminal styles currently aggregated by the comparative example frequency spectrum acquired by the acquisition module1(f0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000094
wherein n is4(f1) Representing the target number, n, of terminal styles aggregated on the spectrum to be evaluated4(f0) The target number of terminal styles aggregated on the example spectrum is compared.
Optionally, the processing module is specifically configured to obtain an actual number n of terminals supporting a spectrum to be evaluated in the designated network according to the obtaining module2(f1) And the total number n of the terminals in the designated network acquired by the acquisition module3Determining the terminal permeability H (f) of the spectrum to be evaluated1) (ii) a A processing module, specifically configured to obtain the actual number n of terminals supporting the spectrum of the comparison example in the designated network according to the obtaining module2(f0) And the total number n of the terminals in the designated network acquired by the acquisition module3Determining the terminal permeability H (f) of the comparative example spectrum0) (ii) a A processing module, in particular for the terminal permeability H (f) according to the spectrum to be evaluated1) And terminal permeability H (f) of the comparative example spectrum0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000101
optionally, the processing module is specifically configured to obtain, according to a third calculation formula, the number M of stations of an existing service, which needs to be protected, of the spectrum to be evaluated, obtained by the obtaining module1(f1) Obtaining the implementation cost V of each station of the frequency spectrum to be evaluated acquired by the module1(f1) The number M of the IMT base stations which need to additionally increase devices in order to meet the coexistence with the existing services of the frequency spectrum to be evaluated and acquired by the acquisition module2(f1) Obtaining the implementation cost V of each IMT base station of the frequency spectrum to be evaluated acquired by the module2(f1) (ii) a Wherein the third calculation formula includes:
Figure GDA0003085255580000102
wherein w (f) represents the bandwidth of the specified spectrum; a processing module, specifically configured to obtain, according to a third calculation formula, the number M of stations of the existing service to be protected of the comparative example spectrum obtained by the obtaining module1(f0) Acquisition module, and implementation cost V of each station of the comparative example spectrum1(f0) The number M of IMT base stations which need to be additionally provided with devices in order to meet the coexistence with the existing services of the frequency spectrum of the comparative example acquired by the acquisition module2(f0) Obtaining the implementation cost V of each IMT base station of the comparative example frequency spectrum obtained by the obtaining module2(f0) Determining an interference coexistence solution factor Δ1s(f0) (ii) a A processing module, in particular for determining an interference coexistence solution factor Δ according to a frequency spectrum to be evaluated1s(f1) Interference coexistence solving factor Δ with comparative example spectrum1s(f0) Determining an additive coefficient Δ1(ii) a Wherein, Delta1=Δ1s(f1)-Δ1s(f0)。
Optionally, the processing module is specifically configured to compare the example price VB and the frequency band factor ω according to the comparative example frequency spectrum1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficientΔ1Determining the frequency spectrum price V of the frequency spectrum to be evaluated; wherein V is VB x ω1×ω2×ω3×ω4,1×ω4,21
It can be understood that any of the above-provided evaluation apparatuses for spectral values is used to execute the method according to the first aspect, and therefore, the beneficial effects achieved by the evaluation apparatuses can refer to the beneficial effects of the method according to the first aspect and the corresponding schemes in the following detailed description, which are not described herein again.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for evaluating spectrum value according to an embodiment of the present invention;
FIG. 2 is a second schematic flowchart of a method for evaluating spectrum value according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for evaluating a spectrum value according to an embodiment of the present invention.
Reference numerals:
an evaluation device-10 of the spectrum value;
an acquisition module-101; a processing module-102; module-103 is generated.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used for distinguishing the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like are not limited in number or execution order.
It should be noted that, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
First embodiment, an embodiment of the present invention provides a method for evaluating a spectrum value, as shown in fig. 1 and fig. 2, including:
s101, acquiring spectrum parameters of at least one spectrum to be evaluated and a spectrum of a comparative example; wherein the spectral parameters include at least one or more of: frequency f, bandwidth W, number M of stations of existing service requiring protection1(f) And the implementation cost V of each station1(f) The number M of IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting a specified spectrum in the network2(f) And specifying a total number of terminals n within the network3The designated spectrum includes: the spectrum to be evaluated or the comparative example spectrum.
S102, according to the frequency f of the frequency spectrum to be evaluated1And frequency f of the comparative example spectrum0Determining the frequency band factor omega1
Alternatively, embodiments of the inventionIn the provided evaluation method of the frequency spectrum value, the frequency f according to the frequency spectrum to be evaluated1And frequency f of the comparative example spectrum0Determining the frequency band factor omega1The method comprises the following steps:
s1020, according to frequency f of frequency spectrum to be evaluated1Determining the coverage radius d of the spectrum to be evaluated1(f1)。
S1021, frequency f according to comparative example frequency spectrum0Determining the coverage radius d of the comparative example spectrum0(f0)。
S1022, according to the coverage radius d of the frequency spectrum to be evaluated1(f1) And coverage radius d of comparative example spectrum0(f0) Determining the frequency band factor omega1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000121
it should be noted that, in practical applications, the difference in the height of the frequency band itself is mainly reflected in the propagation loss. The lower the frequency band is, the better the coverage effect under the same cost is, so the frequency band part adopts multiplier coefficient, and
Figure GDA0003085255580000122
i.e. the square of the ratio of the coverage radii at a certain transmission rate requirement.
The Path Loss (PL) is equal to the transmission power PtSubtracting the received power PrThe sum G of + noise epsilon plus the gain of the transmit-receive antenna minus the shadow sigma minus the noise interference margin delta minus the penetration loss phi.
Under the same network system, the receiving sensitivity of the transmission rate of specific data should be consistent on different frequency bands. Let PL be (a × log)10d)+(b×log10f) + c, there is no cross function of f and d, so finally under certain service requirement, for different frequencies f1、f0Covering radius d1、d2
Figure GDA0003085255580000131
C1=Pt(f1)+G(f1)-σ(f1)-ε(f1)-δ(f1)-Pr(f1);
C0=Pt(f0)+G(f0)-σ(f0)-ε(f0)-δ(f0)-Pr(f0);
Wherein d is1(f1) Frequency f representing the spectrum to be evaluated1Corresponding radius of coverage, d0(f0) Frequency f representing the frequency spectrum of the comparative example1Corresponding radius of coverage, a0、a1、b0And b1Represents a constant, Pt(f) Denotes the transmission power, Pr(f) Denotes the received power, g (f) denotes the sum of the transmit and receive antenna gains, σ (f) denotes the shading, δ (f) denotes the noise and interference margin.
Then the process of the first step is carried out,
Figure GDA0003085255580000132
assuming the path models are the same, ω is1Can be simplified as follows:
Figure GDA0003085255580000133
wherein, when the overlay targets are consistent, C0,C1For P on different frequency bandstThe difference of + G-sigma-epsilon-delta.
S103, according to the bandwidth W of the frequency spectrum to be evaluated1And bandwidth W of the comparative example spectrum0Determining the bandwidth factor omega2
Optionally, in the method for evaluating a spectrum value provided in the embodiment of the present invention, the bandwidth W of the spectrum to be evaluated is determined according to the bandwidth W of the spectrum to be evaluated1And bandwidth W of the comparative example spectrum0Determining the bandwidth factor omega2The method comprises the following steps:
s1030, according to the first calculation formula and the evaluation to be carried outBandwidth W of the spectrum1Determining the intermediate factor omega of the spectrum to be evaluated2s(W1,f1) (ii) a Wherein the first calculation formula includes:
Figure GDA0003085255580000141
wherein, γ1Represents the minimum carrier bandwidth, gamma, of a given spectrum to implement the basic service2Representing the bandwidth, gamma, of a given spectrum for conventional traffic3The maximum transmission bandwidth of a transmitter of a specified spectrum is represented, alpha represents the ratio of the coverage area of conventional services to the target coverage area of a network deployed by using the specified spectrum when interference is not considered to coexist, and W represents the bandwidth of the specified spectrum.
S1031, bandwidth W according to first calculation formula and comparative example frequency spectrum0Determining the median factor omega of the spectrum of the comparative example2s(W0,f0)。
S1032, according to the intermediate factor omega of the frequency spectrum to be evaluated2s(W1,f1) And the median factor ω of the comparative example spectrum2s(W0,f0) Determining the bandwidth factor omega2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000142
it should be noted that, in practical applications, the bandwidth directly affects the traffic at the same cost, and is in direct proportion to the traffic, and a multiplier coefficient ω is adopted2The price is based on MHz. In the current frequency spectrum auction base price setting of each country, the bandwidth and the base price are in a direct proportion relation, namely, the base price of a frequency band with a 10MHz bandwidth is 2 times of the frequency band with a 5MHz bandwidth, the base price of a unit bandwidth is the same, and the actual auction results are similar. The coefficients of the bandwidth price of the bandwidth W and the spectrum price of the 1MHz bandwidth are as follows:
Figure GDA0003085255580000143
γ1: realizing minimum carrier bandwidth of basic service; gamma ray2: bandwidth for implementing conventional services; gamma ray3: a maximum transmission bandwidth of the transmitter; the basic service refers to the basic communication traffic of a single cell in a certain standard network, and the conventional service refers to the traffic that can be achieved by most cells in a certain standard network.
Because conventional service deployment can be met on a single frequency band, continuous networks do not need to be built on other frequency bands, and the income is improved under the same investment cost. Characterization requires gamma within this ratio2The bandwidth is used for realizing conventional services, the urban area proportion is generally adopted, and alpha is equal to 20% according to the urban proportion in China.
Then, compared to the comparative example spectrum,
Figure GDA0003085255580000151
specifically, the value of α and γ for each spectrum1、γ2、γ3The value can be configured according to the actual situation, and is not described herein again.
Specifically, when W is greater than γ3Then, it is necessary to calculate the first formula
Figure GDA0003085255580000152
W≥γ3Middle omega2(W-γ3) W-gamma of3As a whole, i.e. by calculating W-gamma3So as to take the corresponding interval in the first calculation formula, and taking the final calculated value of the interval as omega2(W-γ3) To finally obtain the value of
Figure GDA0003085255580000153
W≥γ3The value of (a).
S104, according to the number N (f) of the existing service stations needing region isolation of the frequency spectrum to be evaluated1) The required separation distance D (f) for each station of the spectrum to be evaluated1) Deploying a target coverage area S (f) of the network by using the spectrum to be evaluated without considering interference coexistence1) Ratio of (A to (B)Number N (f) of stations requiring geographically isolated existing services of the example spectrum0) Distance of isolation required for each station comparing example spectra D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining a multiplier coefficient omega3
Optionally, in the method for evaluating a spectrum value provided in the embodiment of the present invention, the number N (f) of stations of existing services requiring regional isolation according to a spectrum to be evaluated1) The required separation distance D (f) for each station of the spectrum to be evaluated1) Deploying a target coverage area S (f) of the network by using the spectrum to be evaluated without considering interference coexistence1) Number N (f) of stations of existing service requiring regional isolation of the comparative example spectrum0) Distance of isolation required for each station comparing example spectra D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining a multiplier coefficient omega3The method comprises the following steps:
s1040, according to the second calculation formula, the number N (f) of the existing service stations needing region isolation of the frequency spectrum to be evaluated1) The required separation distance D (f) for each station of the spectrum to be evaluated1) And deploying a target coverage area S (f) of the network by using the spectrum to be evaluated without considering interference coexistence1) Determining an interference coexistence solution coefficient omega3s(f1) (ii) a Wherein the second calculation formula includes:
Figure GDA0003085255580000161
s1041, comparing the number N (f) of the existing service stations needing region isolation of the example frequency spectrum according to a second calculation formula0) Distance of isolation required for each station comparing example spectra D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining an interference coexistence solution coefficient omega3s(f0)。
S1042, according to waitingEstimating an interference coexistence solution coefficient ω of a spectrum3s(f1) And interference coexistence solution coefficient ω of the comparative example spectrum3s(f0) Determining a multiplier coefficient omega3(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000162
it should be noted that the interference coexistence solution refers to a change in the spectrum value caused by an isolation measure that needs to be taken on a certain frequency band for the purpose of interfering with the original service, and mainly includes two parts:
in order to protect the regional isolation adopted by the existing service and reduce the coverage area of a single frequency band, the number of the original service stations which need to be isolated is assumed to be N3And the isolation distance of each station is D, then the multiplier coefficient:
Figure GDA0003085255580000163
wherein S represents a target coverage area of a network deployed using a specified spectrum when interference coexistence is not considered, the specifying a spectrum comprising: the spectrum to be evaluated or the comparative example spectrum.
Then, compared to the comparative example spectrum,
Figure GDA0003085255580000164
s105, according to the actual number N of the operation networks currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the actual number N of operating networks currently aggregated by the example spectrum1(f0) Determining the network factor omega4,1
Optionally, in the method for evaluating a spectrum value provided in the embodiment of the present invention, the actual number N of the operating networks currently aggregated according to the spectrum to be evaluated is used as a reference1(f1) And comparing the actual number N of operating networks currently aggregated by the example spectrum1(f0) Determining the network factor omega4,1The method comprises the following steps:
s1050, according to the evaluation to be carried outActual number of operating networks N for which spectrum is currently aggregated1(f1) And comparing the actual number N of operating networks currently aggregated by the example spectrum1(f0) Determining the network factor omega4,1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000171
wherein N is2(f1) Representing a target number, N, of operating networks aggregated over a spectrum to be evaluated2(f0) Representing a target number of operating networks aggregated over the comparative example spectrum.
It should be noted that, in practical applications, whether the industry chain is mature or not directly affects the networking cost, and the development of the terminal industry chain directly affects the development of users.
Assuming that the number of the operation networks aggregated on the designated frequency band reaches N and the number of the models of the terminals reaches N (for the designated operator, the manufacturing cost of the devices aggregated on the designated frequency band in the network or in the country is in the preset price interval at this time), the cost of the devices aggregated on the designated frequency band can be compressed to a lower level; suppose that the number of mainstream operators or countries aggregated in the frequency band is N4The number of terminals gathered in the frequency band is n4Then the network factor is:
Figure GDA0003085255580000172
s106, according to the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the number n of actual terminal patterns currently aggregated by the example spectrum1(f0) Determining a termination factor omega4,2
Optionally, in the method for evaluating a spectrum value provided in the embodiment of the present invention, the number n of actual terminal styles currently aggregated according to a spectrum to be evaluated is used as a reference1(f1) And comparing the number n of actual terminal patterns currently aggregated by the example spectrum1(f0) Determining a termination factor omega4,2The method comprises the following steps:
s1060, according to the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated1(f1) And comparing the number n of actual terminal patterns currently aggregated by the example spectrum1(f0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000181
wherein n is4(f1) Representing the target number, n, of terminal styles aggregated on the spectrum to be evaluated4(f0) The target number of terminal styles aggregated on the example spectrum is compared.
It should be noted that, in an actual application, there may be a plurality of network operators using a spectrum to be evaluated, and therefore, the number of actual terminal styles currently aggregated by the spectrum to be evaluated or the number of actual terminal styles currently aggregated by a comparative example spectrum herein may be the number of actual terminal styles aggregated on a specified spectrum worldwide, or the number of actual terminal styles aggregated on a specified spectrum in a certain country, a certain region, or a certain operator, and may be specifically selected according to an actual situation, which is not described herein again.
Alternatively, the first and second electrodes may be,
s107, according to the actual number n of the terminals supporting the frequency spectrum to be evaluated in the designated network2(f1) Specifying the number n of actual terminals supporting the spectrum of the comparative example within the network2(f0) And specifying a total number of terminals n within the network3Determining a termination factor omega4,2
Optionally, in the method for evaluating a spectrum value provided in the embodiment of the present invention, the number n of actual terminals supporting a spectrum to be evaluated in a designated network is determined according to the number of actual terminals supporting the spectrum to be evaluated in the designated network2(f1) Specifying the number n of actual terminals supporting the spectrum of the comparative example within the network2(f0) And specifying a total number of terminals n within the network3Determining a termination factor omega4,2The method comprises the following steps:
s1070, according to the actual number n of the terminals supporting the frequency spectrum to be evaluated in the designated network2(f1) Hehe fingerDetermining the total number of terminals n in the network3Determining the terminal permeability H (f) of the spectrum to be evaluated1) (ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000182
s1071, according to the actual terminal number n of the supporting comparative example frequency spectrum in the appointed network2(f0) And specifying a total number of terminals n within the network3Determining the terminal permeability H (f) of the comparative example spectrum0) (ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000183
s1072, according to the terminal permeability H (f) of the frequency spectrum to be evaluated1) And terminal permeability H (f) of the comparative example spectrum0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000191
it should be noted that, in order to know more clearly the number of terminals supporting the spectrum to be evaluated currently or the spectrum of the comparative example in the same designated network, which spectrum is more popular can be determined according to the permeability of the terminals; wherein, the same appointed network comprises at least one appointed frequency spectrum.
S108, according to the number M of the stations of the existing service needing protection of the frequency spectrum to be evaluated1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Number M of stations comparing existing services of the example spectrum that need protection1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the spectrum of the comparative example which need to be additionally added to meet the coexistence with the existing services2(f0) Comparative examplesImplementation cost per IMT base station of spectrum V2(f0) Determining an additive coefficient Δ1
Optionally, in the method for evaluating a spectrum value provided in the embodiment of the present invention, the number M of stations of an existing service that needs to be protected according to a spectrum to be evaluated is used as a reference1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Number M of stations comparing existing services of the example spectrum that need protection1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the spectrum of the comparative example which need to be additionally added to meet the coexistence with the existing services2(f0) Implementation cost per IMT base station of the comparative example spectrum V2(f0) Determining an additive coefficient Δ1The method comprises the following steps:
s1080, according to a third calculation formula, the number M of the stations of the existing service needing protection of the frequency spectrum to be evaluated1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) (ii) a Wherein the third calculation formula includes:
Figure GDA0003085255580000201
where w (f) represents the bandwidth of the designated spectrum.
S1081, number M of stations of existing service needing protection according to third calculation formula, comparing example frequency spectrum1(f0) Implementation cost per station V of the comparative example spectrum1(f0) And comparingNumber M of IMT base stations of example spectrum requiring additional devices to meet coexistence with existing services2(f0) Implementation cost per IMT base station of the comparative example spectrum V2(f0) Determining an interference coexistence solution factor Δ1s(f0)。
S1082, interference coexistence solving factor delta according to frequency spectrum to be evaluated1s(f1) Interference coexistence solving factor Δ with comparative example spectrum1s(f0) Determining an additive coefficient Δ1(ii) a Wherein, Delta1=Δ1s(f1)-Δ1s(f0)。
It should be noted that the interference coexistence solution refers to a change in the spectrum value caused by an isolation measure that needs to be taken on a certain frequency band for the purpose of interfering with the original service, and mainly includes two parts:
in order to protect the existing service, the protection measures for the existing service station additionally increase the network construction cost.
Suppose that the number of original service stations which must be protected is M1The implementation cost of each station is V1(ii) a An additional IMT (International Mobile telecommunications) base station is called M2The added cost per base station is V2Then, the additive coefficient:
Figure GDA0003085255580000202
wherein w (f) represents a bandwidth of a designated spectrum, the designated spectrum including: the spectrum to be evaluated or the comparative example spectrum.
Then, compared to the comparative example spectrum, Δ1=Δ1s(f1)-Δ1s(f0)。
S109, comparing example price VB and frequency band factor omega according to the frequency spectrum of the comparing example1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1And determining the frequency spectrum price of the frequency spectrum to be evaluated.
Optionally, in the method for evaluating a spectrum value provided by the embodiment of the present invention, the price VB and the frequency band factor ω of the comparative example are obtained according to the comparative example of the comparative example spectrum1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated, comprising the following steps:
s1090, price VB and frequency band factor omega of the comparative example according to the comparative example frequency spectrum1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price V of the frequency spectrum to be evaluated; wherein V is VB x ω1×ω2×ω3×ω4,1×ω4,21
It should be noted that, in practical applications, the influencing factor for determining the frequency spectrum price V of the frequency spectrum to be evaluated is not limited to the frequency f and the bandwidth ω provided by the embodiment of the present invention2s(W, f), number M of stations of existing services requiring protection1(f) And the implementation cost V of each station1(f) The number M of IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting the specified spectrum within the network2(f) And the total number of terminals n in the given network3(ii) a Illustratively, there may also be introduced such as: and (4) calculating the frequency spectrum price V of the frequency spectrum to be evaluated more accurately by using policy factors, service life, coordination difficulty and other parameters.
And S110, generating a value evaluation result of at least one frequency spectrum to be evaluated according to the frequency spectrum price of the at least one frequency spectrum to be evaluated.
Illustratively, the relative value of at least one spectrum to be evaluated is evaluated by taking a 900MHz frequency band as a basic frequency band, and the specific implementation manner is as follows:
the same path loss model is used from 0.5GHz to 100GHz in the third Generation Partnership Project (3 GPP), and therefore,
Figure GDA0003085255580000211
wherein, C1For P on different frequency bandstDifference of + G-sigma-epsilon-delta and difference of constants in path loss formula, C0For P on different frequency bandstThe difference of + G-sigma-epsilon-delta and the difference of constants in the path loss formula.
Typically the network is uplink limited and therefore an uplink path loss model calculation is employed. Wherein, the interference on 900MHz of urban village-in-village is assumed to be 15dB, the antenna gain on 900MHz frequency band is 3dB lower than the middle-end frequency such as 1.8G/2.1GHz, and the penetration loss difference value of 900-in-village 2600MHz is 0; compared with 2.6GHz, the penetration loss of 3.5GHz and 4.6GHz is respectively 1 dB and 2.6dB, the antenna gain and the transmitting power have no difference, and the calculation is carried out by a non-Line of Sight (NLOS) model under each scene.
1. Under the condition of 900MHz interference
C1-C0,UL 900 1800 2100 2600 3500 4900
900 0 18 18 18
1800 -18 0 0 0
2100 -18 0 0 0
2600 -18 -0 0 0 -1 -2.6
3500 1 0 -1.6
4900 2.6 1.6 0
C of each frequency band in interference scene of table 1900 MHz1And C0
Figure GDA0003085255580000221
Table 2900 MHz omega under each frequency band with interference Umi-NLOS scene1
2. Under 900MHz non-interference scene
C1-C0,UL 900 1800 2100 2600 3500 4900
900 0 18 18 18
1800 -18 0 0 0
2100 -18 0 0 0
2600 -18 -0 0 0 -1 -2.6
3500 1 0 -1.6
4900 2.6 1.6 0
C of table under each frequency band in 3900 MHz undisturbed scene1And C0
Figure GDA0003085255580000231
Omega in each frequency band under 4900 MHz interference-free UMa-NLOS scene1
Figure GDA0003085255580000232
Figure GDA0003085255580000241
Omega of each frequency band under table 5900 MHz interference-free Umi-NLOS scene1
ω1,Rma-NLOS 900 1800 2100 2600 3500 4900
900 1 0.64 0.53 0.41
1800 1.56 1 0.83 0.64
2100 1.87 1.20 1 0.77
2600 2.43 1.56 1.29 1 0.66 0.38
3500 1.53 1 0.59
4900 2.60 1.70 1
Omega of each frequency band under table 6900 MHz non-interference Rma-NLOS scene1
Therefore, under different environments and different channel models, omega of each frequency band1The values are different. Comprehensively considering all scenes:
Figure GDA0003085255580000242
wherein, the interference area of the urban area (UMi) is assumed to be 20% of the built-up area, the interference-free area of the urban area (UMi) is assumed to be 80% of the built-up area, the suburban area (UMa) is assumed to be all areas suitable for urbanization and industrial development, namely the built-up area, and the rural area (RMa) is the remaining territorial area, namely the first step area 4 (the altitude is higher than 4000m), namely the main unmanned area.
The area of a built-up area 2 is increased from 1.22 to 2.18 kilo square kilometers and is increased by 78.3 percent from 1990 to 2000; by 2010, this figure reached 4.05 thousand square kilometers, an increase of 5.5%. In multiples, 2010 is more than twice as large as 1990. Assume that the total area of a built-up area in 2020 is twice that in 2010, i.e. 8.1 kilo-square kilometers.
Suburbs (UMa) are all areas suitable for urbanization and industrial development, namely, the built-up area, and from the national situation of China, the first China has more mountainous regions and fewer plains, and about 60% of the space is mountainous regions and plateaus. The area suitable for industrial and urban development is 180 ten thousand square kilometers, which is the result of evaluation by some experts in the department of sciences. Therefore, the suburban area is 180-8.1 ═ 171.9 ten thousand square kilometers, the first step area is 230 ten thousand square kilometers, the area of the unmanned area is more than 57 ten thousand square kilometers, and therefore the network target coverage area is 963-.
Therefore, ω of each frequency band1The values are shown in Table 7 below:
ω1 900 1800 2100 2600
900 1 0.65 0.55 0.42
1800 1.54 1 0.83 0.64
2100 1.86 1.20 1 0.77
2600 2.40 1.56 1.29 1
TABLE 7 omega for each frequency band1Value of
Currently, a low frequency band (below 1 GHz) is generally used for deep and wide coverage, a medium frequency band (1GHz-3GHz) can be used for continuous coverage of a large capacity, a medium frequency band (3GHz-6GHz) is suitable for local continuous coverage of a high capacity, and a millimeter wave frequency band is used for ultra-large capacity in a hot spot area. Thus gamma for different services, different frequency bands1、γ2、γ3The values of (a) are different, as shown in table 8 below:
Figure GDA0003085255580000251
table 8 different frequency bands gamma for different services1、γ2And gamma3Value of
Figure GDA0003085255580000252
Figure GDA0003085255580000261
Table 9 different frequency bands gamma for different services1、γ2And gamma3Value of
Due to the fact that
Figure GDA0003085255580000262
Or
Figure GDA0003085255580000263
Therefore, the values of N operating networks and N terminals included in different frequency bands are shown in table 10:
Figure GDA0003085255580000264
TABLE 10 network number and terminal number for each frequency band in the world
ω4,1 900 1800 2100 2600
900 1 1 1 0.99
1800 1 1 1 1
2100 1 1 1 1
2600 1 1 1 1
TABLE 11 omega for each frequency band4,1Value of
ω4,2 900 1800 2100 2600
900 1 1 1 1
1800 1 1 1 1
2100 1 1 1 1
2600 1 1 1 1
TABLE 12 omega for each frequency band4,2Value of
ω4,2 900 1800 2100 2600
900 1 0.785854 0.794156 0.811829
1800 1.2725 1 1.010564 1.033052
2100 1.259198 0.989546 1 1.022253
2600 1.231787 0.968005 0.978231 1
TABLE 13 omega for each frequency band in a certain frequency unit4,2Value of
It should be noted that, in practical applications, the frequency unit can take into account the electromagnetic environment, normal influence, service life, coordination difficulty, etc. according to practical situations, so that different frequency spectrums to be evaluated can be compared more accurately.
According to the scheme, each frequency spectrum to be evaluated is compared with the frequency spectrum of the comparative example, the frequency spectrum price of each frequency spectrum to be evaluated is calculated, and meanwhile, the value evaluation result of at least one frequency spectrum to be evaluated is generated according to the frequency spectrum price of at least one frequency spectrum to be evaluated; therefore, the frequency utilization unit can compare different frequency spectrums to be evaluated according to the value evaluation result, and the optimal frequency spectrum is conveniently selected when the frequency utilization unit carries out network deployment; the problem that the optimal frequency spectrum can not be selected according to the values of the frequency spectrums in different frequency bands for potential frequency spectrums in different frequency bands when a frequency unit is used for network deployment is solved.
Example II,
An embodiment of the present invention provides an evaluation apparatus 10 for a spectrum value, as shown in fig. 3, including:
an obtaining module 101, configured to obtain spectrum parameters of at least one spectrum to be evaluated and a spectrum of a comparison example; wherein the spectral parameters include at least one or more of the followingItem (1): frequency f, bandwidth W, number M of stations of existing service requiring protection1(f) And the implementation cost V of each station1(f) The number M of IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting a specified spectrum in the network2(f) And specifying a total number of terminals n within the network3The designated spectrum includes: the spectrum to be evaluated or the comparative example spectrum.
A processing module 102, configured to obtain the frequency f of the spectrum to be evaluated according to the frequency f obtained by the obtaining module 1011And the frequency f of the spectrum of the comparative example acquired by the acquisition module 1010Determining the frequency band factor omega1
The processing module 102 is further configured to obtain the bandwidth W of the spectrum to be evaluated according to the obtaining module 1011And the bandwidth W of the spectrum of the comparative example acquired by the acquisition module 1010Determining the bandwidth factor omega2
The processing module 102 is further configured to obtain the number N (f) of stations of existing services requiring regional isolation of the spectrum to be evaluated, according to the obtaining module 1011) Obtaining module 101 obtains the required isolation distance D (f) of each station of the spectrum to be evaluated1) The target coverage area S (f) of the deployment network using the spectrum to be evaluated when the interference coexistence is not considered, acquired by the acquisition module 1011) The number N (f) of stations of existing services requiring regional isolation of the comparative example spectrum acquired by the acquisition module 1010) The isolation distance D (f) required for each station of the comparative example spectrum acquired by the acquisition module 1010) The target coverage area S (f) of the network is deployed using the comparative example spectrum when coexisting with no consideration of interference acquired by the acquisition module 1010) Determining a multiplier coefficient omega3
The processing module 102 is further configured to obtain the frequency spectrum to be evaluated according to the frequency spectrum to be evaluated obtained by the obtaining module 101Actual number of currently aggregated operating networks N1(f1) Actual number of operating networks N currently aggregated with the comparative example spectrum obtained by the obtaining module 1011(f0) Determining the network factor omega4,1
The processing module 102 is further configured to obtain the number n of the actual terminal styles currently aggregated by the spectrum to be evaluated according to the obtaining module 1011(f1) The number n of actual terminal styles currently aggregated with the comparative example spectrum acquired by the acquisition module 1011(f0) Determining a termination factor omega4,2
Alternatively, the first and second electrodes may be,
the processing module 102 is further configured to obtain the actual number n of terminals supporting the spectrum to be evaluated in the designated network according to the obtaining module 1012(f1) The actual number n of terminals supporting the spectrum of the comparative example in the designated network, which is acquired by the acquisition module 1012(f0) And the total number n of terminals in the designated network acquired by the acquisition module 1013Determining a termination factor omega4,2
The processing module 102 is further configured to obtain, according to the number M of stations of existing services to be protected of the spectrum to be evaluated, which is obtained by the obtaining module 1011(f1) Acquiring module 101 acquires implementation cost V of each station of frequency spectrum to be evaluated1(f1) The number M of the IMT base stations, which need to additionally add devices in order to meet the coexistence with the existing services, of the spectrum to be evaluated acquired by the acquisition module 1012(f1) Obtaining the implementation cost V of each IMT base station of the frequency spectrum to be evaluated, which is obtained by the obtaining module 1012(f1) The number M of stations of an existing service requiring protection of the comparative example spectrum acquired by the acquisition module 1011(f0) Acquisition module 101 acquires an implementation cost V of each station of the comparative example spectrum1(f0) The number M of IMT base stations that need to be additionally added to satisfy coexistence with existing services in the spectrum of the comparative example acquired by the acquisition module 1012(f0) The implementation cost V of each IMT base station of the comparative example spectrum acquired by the acquisition module 1012(f0) Ensure thatConstant additive coefficient Delta1
The processing module 102 is further configured to compare the example price VB and the frequency band factor ω according to the comparative example frequency spectrum1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1And determining the frequency spectrum price of the frequency spectrum to be evaluated.
The generating module 103 is configured to generate a value evaluation result of at least one to-be-evaluated spectrum according to the spectrum price of the at least one to-be-evaluated spectrum determined by the processing module 102.
Optionally, the processing module 102 is specifically configured to obtain the frequency f of the spectrum to be evaluated according to the obtaining module 1011Determining the coverage radius d of the spectrum to be evaluated1(f1)。
A processing module 102, specifically configured to obtain the frequency f of the spectrum of the comparative example according to the obtaining module 1010Determining the coverage radius d of the comparative example spectrum0(f0)。
A processing module 102, specifically configured to determine a coverage radius d according to a frequency spectrum to be evaluated1(f1) And coverage radius d of comparative example spectrum0(f0) Determining the frequency band factor omega1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000291
optionally, the processing module 102 is specifically configured to obtain, according to the first calculation formula and the bandwidth W of the spectrum to be evaluated, which is obtained by the obtaining module 1011Determining the intermediate factor omega of the spectrum to be evaluated2s(W1,f1) (ii) a Wherein the first calculation formula includes:
Figure GDA0003085255580000301
wherein, γ1Represents the minimum carrier bandwidth, gamma, of a given spectrum to implement the basic service2Representing the bandwidth, gamma, of a given spectrum for conventional traffic3Representing a specified spectrumA represents a ratio of a coverage area of a regular service to a target coverage area of a network deployed using a designated spectrum without considering interference coexistence, and W represents a bandwidth of the designated spectrum.
A processing module 102, specifically configured to obtain the bandwidth W of the spectrum of the comparative example according to the first calculation formula and the obtaining module 1010Determining the median factor omega of the spectrum of the comparative example2s(W0,f0)。
A processing module 102, specifically configured to determine an intermediate factor ω according to a frequency spectrum to be evaluated2s(W1,f1) And the median factor ω of the comparative example spectrum2s(W0,f0) Determining the bandwidth factor omega2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000302
optionally, the processing module 102 is specifically configured to obtain, according to a second calculation formula, the number N (f) of stations of the existing service requiring the regional isolation of the spectrum to be evaluated, where the existing service requires the regional isolation, obtained by the obtaining module 1011) Obtaining module 101 obtains the required isolation distance D (f) of each station of the spectrum to be evaluated1) And the target coverage area S (f) of the deployment network using the spectrum to be evaluated when the interference coexistence is not considered, which is acquired by the acquisition module 1011) Determining an interference coexistence solution coefficient omega3s(f1) (ii) a Wherein the second calculation formula includes:
Figure GDA0003085255580000303
a processing module 102, specifically configured to obtain, according to a second calculation formula, the number N (f) of stations of existing service requiring regional isolation of the comparative example spectrum obtained by the obtaining module 1010) The isolation distance D (f) required for each station of the comparative example spectrum acquired by the acquisition module 1010) The target coverage area S (f) of the network is deployed using the comparative example spectrum when coexisting with no consideration of interference acquired by the acquisition module 1010) Determining an interference coexistence solution coefficient omega3s(f0)。
A processing module 102, specifically configured to solve the coefficient ω according to the interference coexistence of the spectrum to be evaluated3s(f1) And interference coexistence solution coefficient ω of the comparative example spectrum3s(f0) Determining a multiplier coefficient omega3(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000311
optionally, the processing module 102 is specifically configured to obtain the actual number N of the operating networks currently aggregated by the spectrum to be evaluated according to the obtaining module 1011(f1) Actual number of operating networks N currently aggregated with the comparative example spectrum obtained by the obtaining module 1011(f0) Determining the network factor omega4,1(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000312
wherein N is2(f1) Representing a target number, N, of operating networks aggregated over a spectrum to be evaluated2(f0) Representing a target number of operating networks aggregated over the comparative example spectrum.
Optionally, the processing module 102 is specifically configured to obtain the number n of the actual terminal styles currently aggregated by the spectrum to be evaluated according to the obtaining module 1011(f1) The number n of actual terminal styles currently aggregated with the comparative example spectrum acquired by the acquisition module 1011(f0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000313
wherein n is4(f1) Representing the target number, n, of terminal styles aggregated on the spectrum to be evaluated4(f0) The target number of terminal styles aggregated on the example spectrum is compared.
Optionally, the processing module 102 is specifically configured toThe actual number n of terminals supporting a spectrum to be evaluated in a designated network, acquired by the acquisition module 1012(f1) And the total number n of terminals in the specified network acquired by the acquisition module 1013Determining the terminal permeability H (f) of the spectrum to be evaluated1)。
The processing module 102 is specifically configured to obtain the actual number n of terminals supporting the spectrum of the comparison example in the designated network according to the obtaining module 1012(f0) And the total number n of terminals in the specified network acquired by the acquisition module 1013Determining the terminal permeability H (f) of the comparative example spectrum0)。
A processing module 102, specifically configured to determine a terminal permeability H (f) according to a frequency spectrum to be evaluated1) And terminal permeability H (f) of the comparative example spectrum0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure GDA0003085255580000321
optionally, the processing module 102 is specifically configured to obtain, according to a third calculation formula, the number M of stations of an existing service, which needs to be protected, of the spectrum to be evaluated, obtained by the obtaining module 1011(f1) Acquiring module 101 acquires implementation cost V of each station of frequency spectrum to be evaluated1(f1) The number M of the IMT base stations, which need to additionally add devices in order to meet the coexistence with the existing services, of the spectrum to be evaluated acquired by the acquisition module 1012(f1) Obtaining the implementation cost V of each IMT base station of the frequency spectrum to be evaluated, which is obtained by the obtaining module 1012(f1) (ii) a Wherein the third calculation formula includes:
Figure GDA0003085255580000322
wherein w (f) represents the bandwidth of the specified spectrum; a processing module 102, specifically configured to obtain, according to a third calculation formula, the number M of stations of the existing service requiring protection of the comparative example spectrum obtained by the obtaining module 1011(f0) Each station of the comparative example spectrum acquired by the acquisition module 101Is implemented at a cost V1(f0) The number M of IMT base stations that need to be additionally added to satisfy coexistence with existing services in the spectrum of the comparative example acquired by the acquisition module 1012(f0) The implementation cost V of each IMT base station of the comparative example spectrum acquired by the acquisition module 1012(f0) Determining an interference coexistence solution factor Δ1s(f0)。
A processing module 102, specifically configured to determine an interference coexistence solution factor Δ according to a frequency spectrum to be evaluated1s(f1) Interference coexistence solving factor Δ with comparative example spectrum1s(f0) Determining an additive coefficient Δ1(ii) a Wherein, Delta1=Δ1s(f1)-Δ1s(f0)。
Optionally, the processing module 102 is specifically configured to compare the example price VB and the frequency band factor ω according to the comparative example frequency spectrum1Bandwidth factor omega2Multiplier coefficient omega3Network factor omega4,1Terminal factor omega4,2And additive coefficient Delta1Determining the frequency spectrum price V of the frequency spectrum to be evaluated; wherein V is VB x ω1×ω2×ω3×ω4,1×ω4,21
According to the scheme, the evaluation device for the frequency spectrum value provided by the embodiment of the invention compares each frequency spectrum to be evaluated with the frequency spectrum of the comparison example, calculates the frequency spectrum price of each frequency spectrum to be evaluated, and generates the value evaluation result of at least one frequency spectrum to be evaluated according to the frequency spectrum price of at least one frequency spectrum to be evaluated; therefore, the frequency utilization unit can compare different frequency spectrums to be evaluated according to the value evaluation result, and the optimal frequency spectrum is conveniently selected when the frequency utilization unit carries out network deployment; the problem that the optimal frequency spectrum can not be selected according to the values of the frequency spectrums in different frequency bands for potential frequency spectrums in different frequency bands when a frequency unit is used for network deployment is solved.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (12)

1. A method for assessing a value of a spectrum, comprising:
acquiring spectrum parameters of at least one spectrum to be evaluated and a comparative example spectrum; wherein the spectral parameters include at least one or more of: frequency f, bandwidth W, number M of stations of existing service requiring protection1(f) And the implementation cost V of each station1(f) The number M of the land mobile communication IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting the specified spectrum within the network2(f) And the total number of terminals n in the given network3The designated spectrum includes: a spectrum to be evaluated or a comparative example spectrum;
according to the frequency f of the frequency spectrum to be evaluated1And the frequency f of the spectrum of the comparative example0Determining the frequency band factor omega1
According to the bandwidth W of the frequency spectrum to be evaluated1And the bandwidth W of the comparative example spectrum0Determining the bandwidth factor omega2
Number N (f) of stations of existing services requiring regional isolation of the spectrum to be evaluated1) The required separation distance D (f) for each station of the spectrum to be evaluated1) Using the target coverage area S (f) of the spectrum deployment network to be evaluated without considering interference coexistence1) Number N (f) of stations of existing service requiring regional isolation of the comparative example spectrum0) Required separation for each station of the comparative example spectrumDistance D (f)0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining a multiplier coefficient omega3
According to the actual number N of the operation networks currently aggregated by the frequency spectrum to be evaluated1(f1) And the actual number N of operating networks currently aggregated by the comparative example spectrum1(f0) Determining the network factor omega4,1
According to the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated1(f1) And the number n of actual terminal styles currently aggregated by the comparative example spectrum1(f0) Determining a termination factor omega4,2
Alternatively, the first and second electrodes may be,
according to the actual number n of terminals supporting the frequency spectrum to be evaluated in the designated network2(f1) The actual number n of terminals supporting the comparative example spectrum within the given network2(f0) And the total number of terminals n in the given network3Determining a termination factor omega4,2
Number M of stations of an existing service requiring protection according to the spectrum to be evaluated1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally added with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Number M of stations of existing service requiring protection of the comparative example spectrum1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the frequency spectrum of the comparative example, which need to be additionally added with devices in order to meet the coexistence with the existing services2(f0) Cost per IMT base station V of the comparative example spectrum2(f0) Determining an additive coefficient Δ1
Ratio of frequency spectrum according to the comparative exampleA comparative example price VB and the frequency band factor omega1The bandwidth factor omega2The multiplier coefficient omega3The network factor omega4,1The terminal factor omega4,2And the additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated;
generating a value evaluation result of at least one frequency spectrum to be evaluated according to the frequency spectrum price of the at least one frequency spectrum to be evaluated;
the frequency f according to the frequency spectrum to be evaluated1And the frequency f of the spectrum of the comparative example0Determining the frequency band factor omega1The method comprises the following steps:
according to the frequency f of the frequency spectrum to be evaluated1Determining the coverage radius d of the frequency spectrum to be evaluated1(f1);
Frequency f according to the comparative example spectrum0Determining the coverage radius d of the comparative example spectrum0(f0);
According to the coverage radius d of the frequency spectrum to be evaluated1(f1) And the coverage radius d of the spectrum of the comparative example0(f0) Determining the frequency band factor omega1(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000021
according to the bandwidth W of the frequency spectrum to be evaluated1And the bandwidth W of the comparative example spectrum0Determining the bandwidth factor omega2The method comprises the following steps:
according to a first calculation formula and the bandwidth W of the frequency spectrum to be evaluated1Determining an intermediate factor omega of the spectrum to be evaluated2s(W1,f1) (ii) a Wherein the first calculation formula includes:
Figure FDA0003085255570000031
wherein, γ1Indicating the minimum carrier bandwidth for a given spectrum to implement basic services,γ2represents the bandwidth, gamma, of the designated spectrum for implementing regular traffic3The maximum transmission bandwidth of the transmitter of the designated spectrum is represented, alpha represents the ratio of the coverage area of the conventional service to the target coverage area of the network deployed by using the designated spectrum when the interference is not considered to coexist, and W represents the bandwidth of the designated spectrum;
bandwidth W of spectrum according to the first calculation formula and the comparative example0Determining an intermediate factor ω of the spectrum of the comparative example2s(W0,f0);
According to the intermediate factor omega of the frequency spectrum to be evaluated2s(W1,f1) And an intermediate factor ω of the spectrum of the comparative example2s(W0,f0) Determining the bandwidth factor omega2(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000032
according to the actual number n of terminals supporting the frequency spectrum to be evaluated in the designated network2(f1) The actual number n of terminals supporting the comparative example spectrum within the given network2(f0) And the total number of terminals n in the given network3Determining a termination factor omega4,2The method comprises the following steps:
according to the actual number n of terminals supporting the frequency spectrum to be evaluated in the designated network2(f1) And the total number of terminals n in the given network3Determining the terminal permeability H (f) of the frequency spectrum to be evaluated1);
According to the actual number n of terminals supporting the frequency spectrum of the comparison example in the designated network2(f0) And the total number of terminals n in the given network3Determining a terminal permeability H (f) of the comparative example spectrum0);
According to the terminal permeability H (f) of the frequency spectrum to be evaluated1) And terminal permeability H (f) of the comparative example spectrum0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000033
2. method for spectrum value evaluation according to claim 1, characterized in that the number of stations N (f) requiring geographically separated existing services of the spectrum to be evaluated is dependent on the number of stations N (f) requiring geographically separated existing services1) The required separation distance D (f) for each station of the spectrum to be evaluated1) Using the target coverage area S (f) of the spectrum deployment network to be evaluated without considering interference coexistence1) Number N (f) of stations of existing service requiring regional isolation of the comparative example spectrum0) Required separation distance D (f) for each station of the comparative example spectrum0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining a multiplier coefficient omega3The method comprises the following steps:
the number N (f) of the stations of the existing service requiring the regional isolation of the frequency spectrum to be evaluated according to a second calculation formula1) The required separation distance D (f) for each station of the spectrum to be evaluated1) And using the target coverage area S (f) of the spectrum deployment network to be evaluated without considering interference coexistence1) Determining an interference coexistence solution coefficient omega3s(f1) (ii) a Wherein the second calculation formula includes:
Figure FDA0003085255570000041
the number N (f) of stations of the existing service requiring the regional isolation according to the second calculation formula and the comparative example frequency spectrum0) Required separation distance D (f) for each station of the comparative example spectrum0) And deploying a target coverage area S (f) of the network using the comparative example spectrum without considering interference coexistence0) Determining an interference coexistence solution coefficient omega3s(f0);
According to the interference coexistence solution coefficient omega of the frequency spectrum to be evaluated3s(f1) And the ratioInterference coexistence solution coefficient omega of the comparative example spectrum3s(f0) Determining a multiplier coefficient omega3(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000042
3. the method for evaluating spectrum value according to claim 1, wherein the actual number N of operating networks currently aggregated according to the spectrum to be evaluated1(f1) And the actual number N of operating networks currently aggregated by the comparative example spectrum1(f0) Determining the network factor omega4,1The method comprises the following steps:
according to the actual number N of the operation networks currently aggregated by the frequency spectrum to be evaluated1(f1) And the actual number N of operating networks currently aggregated by the comparative example spectrum1(f0) Determining the network factor omega4,1(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000043
wherein N is2(f1) Representing a target number, N, of operating networks aggregated over a spectrum to be evaluated2(f0) Representing a target number of operating networks aggregated over the comparative example spectrum.
4. The method according to claim 1, wherein the number n of actual terminal patterns currently aggregated according to the spectrum to be evaluated is used as a basis for evaluating the value of the spectrum1(f1) And the number n of actual terminal styles currently aggregated by the comparative example spectrum1(f0) Determining a termination factor omega4,2The method comprises the following steps:
according to the number n of the actual terminal styles currently aggregated by the frequency spectrum to be evaluated1(f1) And the number n of actual terminal styles currently aggregated by the comparative example spectrum1(f0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000051
wherein n is4(f1) Representing the target number, n, of terminal styles aggregated on the spectrum to be evaluated4(f0) The target number of terminal styles aggregated on the example spectrum is compared.
5. Method for spectrum value evaluation according to claim 1, characterized in that the number of stations M of an existing service requiring protection of the spectrum to be evaluated is dependent on the number M of stations of the existing service requiring protection1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally added with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Number M of stations of existing service requiring protection of the comparative example spectrum1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the frequency spectrum of the comparative example, which need to be additionally added with devices in order to meet the coexistence with the existing services2(f0) Cost per IMT base station V of the comparative example spectrum2(f0) Determining an additive coefficient Δ1The method comprises the following steps:
the number M of stations of the existing service needing protection of the frequency spectrum to be evaluated according to a third calculation formula1(f1) Implementation cost V for each station of the spectrum to be evaluated1(f1) The number M of IMT base stations of the frequency spectrum to be evaluated, which need to be additionally added with devices in order to meet the coexistence with the existing services2(f1) Implementation cost V of each IMT base station of the spectrum to be evaluated2(f1) Determining an interference co-existence resolution factor Δ for the comparative example spectrum1s(f1) (ii) a Wherein the third calculation formula comprises:
Figure FDA0003085255570000052
wherein W (f) represents the bandwidth of the specified spectrum;
the number M of stations of the existing service needing protection of the comparative example frequency spectrum according to the third calculation formula1(f0) Implementation cost per station V of the comparative example spectrum1(f0) The number M of IMT base stations of the frequency spectrum of the comparative example, which need to be additionally added with devices in order to meet the coexistence with the existing services2(f0) Cost per IMT base station V of the comparative example spectrum2(f0) Determining an interference coexistence solution factor Δ1s(f0);
According to the interference coexistence solving factor delta of the frequency spectrum to be evaluated1s(f1) And an interference coexistence solution factor Δ of the comparative example spectrum1s(f0) Determining an additive coefficient Δ1(ii) a Wherein, Delta1=Δ1s(f1)-Δ1s(f0)。
6. The method for evaluating a spectral value according to claim 1, wherein said frequency band factor ω is determined according to a comparison example price VB of said comparison example spectrum and said frequency band factor VB1The bandwidth factor omega2The multiplier coefficient omega3The network factor omega4,1The terminal factor omega4,2And the additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated, comprising the following steps:
according to the comparative example price VB of the comparative example frequency spectrum and the frequency band factor omega1The bandwidth factor omega2The multiplier coefficient omega3The network factor omega4,1The terminal factor omega4,2And the additive coefficient Delta1Determining the frequency spectrum price V of the frequency spectrum to be evaluated; wherein V is VB x ω1×ω2×ω3×ω4,1×ω4,21
7. An apparatus for evaluating a spectral value, comprising:
the acquisition module is used for acquiring at least one spectrum to be evaluated and spectrum parameters of the comparative example spectrum; wherein the spectral parameters include at least one or more of: frequency f, bandwidth W, number M of stations of existing service requiring protection1(f) And the implementation cost V of each station1(f) The number M of IMT base stations needing additional devices for meeting the coexistence with the existing services2(f) And implementation cost per IMT base station V2(f) The number N (f) of the existing service stations needing regional isolation, the isolation distance D (f) required by each station, the target coverage area S (f) of a network deployed by using a specified frequency spectrum without considering interference coexistence, and the number n of actual terminal styles1(f) Specifying the actual number n of terminals supporting the specified spectrum within the network2(f) And a total number n of terminals within said given network3The designated spectrum includes: a spectrum to be evaluated or a comparative example spectrum;
a processing module for obtaining the frequency f of the frequency spectrum to be evaluated according to the frequency1And the frequency f of the comparative example spectrum acquired by the acquisition module0Determining the frequency band factor omega1
The processing module is further configured to obtain the bandwidth W of the frequency spectrum to be evaluated according to the frequency spectrum to be evaluated obtained by the obtaining module1And the bandwidth W of the comparative example frequency spectrum acquired by the acquisition module0Determining the bandwidth factor omega2
The processing module is further configured to obtain the number N (f) of stations of the existing service requiring region isolation of the spectrum to be evaluated according to the obtained number N (f)1) The isolation distance D (f) required by each station of the frequency spectrum to be evaluated acquired by the acquisition module1) The target coverage area S (f) of the spectrum deployment network to be evaluated is used when the interference coexistence is not considered and acquired by the acquisition module1) The existing service which needs region isolation and is acquired by the acquisition module and of the frequency spectrum of the comparative exampleNumber of stations N (f)0) A required isolation distance D (f) for each station of the comparative example spectrum acquired by the acquisition module0) A target coverage area S (f) of a deployment network using the comparative example spectrum obtained by the obtaining module without considering interference coexistence0) Determining a multiplier coefficient omega3
The processing module is further configured to obtain an actual number N of the currently aggregated operating networks of the spectrum to be evaluated according to the actual number N of the currently aggregated operating networks of the spectrum to be evaluated1(f1) And the actual number N of the operation networks currently aggregated by the comparison example frequency spectrum acquired by the acquisition module1(f0) Determining the network factor omega4,1
The processing module is further configured to obtain the number n of the actual terminal styles currently aggregated by the spectrum to be evaluated according to the number n of the actual terminal styles currently aggregated by the obtaining module1(f1) And the number n of the actual terminal styles currently aggregated by the comparative example frequency spectrum acquired by the acquisition module1(f0) Determining a termination factor omega4,2
Alternatively, the first and second electrodes may be,
the processing module is further configured to obtain an actual number n of terminals supporting the spectrum to be evaluated in the designated network according to the obtaining module2(f1) The actual number n of terminals supporting the spectrum of the comparison example in the specified network acquired by the acquisition module2(f0) And the total number n of the terminals in the specified network acquired by the acquisition module3Determining a termination factor omega4,2
The processing module is further configured to obtain the number M of stations of the existing service to be protected of the spectrum to be evaluated according to the obtained number M1(f1) The implementation cost V of each station of the frequency spectrum to be evaluated acquired by the acquisition module1(f1) The number M of IMT base stations of the spectrum to be evaluated acquired by the acquisition module, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) And the implementation of each IMT base station of the spectrum to be evaluated acquired by the acquisition moduleCost V2(f1) The number M of the stations of the existing service needing protection of the comparative example frequency spectrum acquired by the acquisition module1(f0) An implementation cost V of each station of the comparative example spectrum acquired by the acquisition module1(f0) The number M of IMT base stations of the comparison example frequency spectrum acquired by the acquisition module, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f0) The implementation cost V of each IMT base station of the comparative example frequency spectrum acquired by the acquisition module2(f0) Determining an additive coefficient Δ1
The processing module is further used for comparing the example price VB of the example frequency spectrum and the frequency band factor omega according to the comparative example frequency spectrum1The bandwidth factor omega2The multiplier coefficient omega3The network factor omega4,1The terminal factor omega4,2And the additive coefficient Delta1Determining the frequency spectrum price of the frequency spectrum to be evaluated;
the generating module is used for generating a value evaluation result of at least one frequency spectrum to be evaluated according to the frequency spectrum price of the at least one frequency spectrum to be evaluated determined by the processing module;
the processing module is specifically configured to obtain the frequency f of the frequency spectrum to be evaluated according to the frequency of the frequency spectrum to be evaluated1Determining the coverage radius d of the frequency spectrum to be evaluated1(f1);
The processing module is specifically configured to obtain a frequency f of the comparison example frequency spectrum according to the comparison result obtained by the obtaining module0Determining the coverage radius d of the comparative example spectrum0(f0);
The processing module is specifically configured to determine a coverage radius d of the frequency spectrum to be evaluated1(f1) And the coverage radius d of the spectrum of the comparative example0(f0) Determining the frequency band factor omega1(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000081
the processing module is specifically configured to obtain a bandwidth W of the spectrum to be evaluated according to a first calculation formula and the obtaining module1Determining an intermediate factor omega of the spectrum to be evaluated2s(W1,f1) (ii) a Wherein the first calculation formula includes:
Figure FDA0003085255570000082
wherein, γ1Represents the minimum carrier bandwidth, gamma, of a given spectrum to implement the basic service2Represents the bandwidth, gamma, of the designated spectrum for implementing regular traffic3The maximum transmission bandwidth of the transmitter of the designated spectrum is represented, alpha represents the ratio of the coverage area of the conventional service to the target coverage area of the network deployed by using the designated spectrum when the interference is not considered to coexist, and W represents the bandwidth of the designated spectrum;
the processing module is specifically configured to obtain a bandwidth W of the spectrum of the comparative example according to the first calculation formula and the obtaining module0Determining an intermediate factor ω of the spectrum of the comparative example2s(W0,f0);
The processing module is specifically configured to determine an intermediate factor ω of the frequency spectrum to be evaluated according to the intermediate factor ω2s(W1,f1) And an intermediate factor ω of the spectrum of the comparative example2s(W0,f0) Determining the bandwidth factor omega2(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000083
the processing module is specifically configured to obtain the actual number n of terminals supporting the spectrum to be evaluated in the designated network according to the obtaining module2(f1) And the total number n of the terminals in the specified network acquired by the acquisition module3Determining the terminal permeability H (f) of the frequency spectrum to be evaluated1);
The processing module is specifically configured to obtain according to the obtaining moduleThe number n of the actual terminals supporting the frequency spectrum of the comparison example in the specified network is taken2(f0) And the total number n of the terminals in the specified network acquired by the acquisition module3Determining a terminal permeability H (f) of the comparative example spectrum0);
The processing module is specifically configured to determine a terminal permeability H (f) according to the frequency spectrum to be evaluated1) And terminal permeability H (f) of the comparative example spectrum0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000084
8. the apparatus for evaluating value of spectrum according to claim 7, wherein the processing module is specifically configured to obtain the number N (f) of stations of existing service requiring region isolation of the spectrum to be evaluated according to a second calculation formula1) The isolation distance D (f) required by each station of the frequency spectrum to be evaluated acquired by the acquisition module1) And a target coverage area S (f) obtained by the obtaining module and used for deploying the network by using the frequency spectrum to be evaluated when the interference is not considered to coexist1) Determining an interference coexistence solution coefficient omega3s(f1) (ii) a Wherein the second calculation formula includes:
Figure FDA0003085255570000091
the processing module is specifically configured to obtain, according to the second calculation formula, the number N (f) of stations of the existing service requiring the geographical isolation of the comparative example spectrum, which is obtained by the obtaining module0) A required isolation distance D (f) for each station of the comparative example spectrum acquired by the acquisition module0) A target coverage area S (f) of a deployment network using the comparative example spectrum obtained by the obtaining module without considering interference coexistence0) Determining an interference coexistence solution coefficient omega3s(f0);
The processing module is specifically configured to solve the coefficient ω according to the interference coexistence of the spectrum to be evaluated3s(f1) And an interference coexistence solution coefficient ω of the comparative example spectrum3s(f0) Determining a multiplier coefficient omega3(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000092
9. the device for evaluating spectrum value according to claim 7, wherein the processing module is specifically configured to obtain the actual number N of operating networks currently aggregated by the spectrum to be evaluated according to the obtaining module1(f1) And the actual number N of the operation networks currently aggregated by the comparison example frequency spectrum acquired by the acquisition module1(f0) Determining the network factor omega4,1(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000093
wherein N is2(f1) Representing a target number, N, of operating networks aggregated over a spectrum to be evaluated2(f0) Representing a target number of operating networks aggregated over the comparative example spectrum.
10. The device for evaluating spectrum value according to claim 7, wherein the processing module is specifically configured to obtain the number n of the actual terminal patterns currently aggregated by the spectrum to be evaluated according to the obtaining module1(f1) And the number n of the actual terminal styles currently aggregated by the comparative example frequency spectrum acquired by the acquisition module1(f0) Determining a termination factor omega4,2(ii) a Wherein the content of the first and second substances,
Figure FDA0003085255570000094
wherein n is4(f1) Representing a spectrum to be evaluatedTarget number of terminal styles aggregated, n4(f0) The target number of terminal styles aggregated on the example spectrum is compared.
11. The apparatus for evaluating value of spectrum according to claim 7, wherein the processing module is specifically configured to obtain, according to a third calculation formula, the number M of stations of existing service requiring protection of the spectrum to be evaluated, which is obtained by the obtaining module1(f1) The implementation cost V of each station of the frequency spectrum to be evaluated acquired by the acquisition module1(f1) The number M of IMT base stations of the spectrum to be evaluated acquired by the acquisition module, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f1) The implementation cost V of each IMT base station of the frequency spectrum to be evaluated acquired by the acquisition module2(f1) Determining an interference co-existence resolution factor Δ for the comparative example spectrum1s(f1) (ii) a Wherein the third calculation formula comprises:
Figure FDA0003085255570000101
wherein W (f) represents the bandwidth of the specified spectrum;
the processing module is specifically configured to obtain, according to the third calculation formula, the number M of stations of the existing service that needs to be protected of the comparative example spectrum obtained by the obtaining module1(f0) An implementation cost V of each station of the comparative example spectrum acquired by the acquisition module1(f0) The number M of IMT base stations of the comparison example frequency spectrum acquired by the acquisition module, which need to be additionally provided with devices in order to meet the coexistence with the existing services2(f0) The implementation cost V of each IMT base station of the comparative example frequency spectrum acquired by the acquisition module2(f0) Determining an interference coexistence solution factor Δ1s(f0);
The processing module is specifically used forThe interference coexistence solving factor Delta of the spectrum to be evaluated1s(f1) And an interference coexistence solution factor Δ of the comparative example spectrum1s(f0) Determining an additive coefficient Δ1(ii) a Wherein, Delta1=Δ1s(f1)-Δ1s(f0)。
12. The device for assessing spectral value according to claim 7, wherein said processing module is specifically configured to evaluate said spectral value according to a comparison example price VB of said comparison example spectrum and said frequency band factor ω1The bandwidth factor omega2The multiplier coefficient omega3The network factor omega4,1The terminal factor omega4,2And the additive coefficient Delta1Determining the frequency spectrum price V of the frequency spectrum to be evaluated; wherein V is VB x ω1×ω2×ω3×ω4,1×ω4,21
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106604282A (en) * 2016-12-08 2017-04-26 桂林电子科技大学 Micro-cell micro-base-station spectrum auction method with power distribution and beam forming
CN107172624A (en) * 2017-04-20 2017-09-15 浙江工业大学 A kind of frequency spectrum pricing method based on secondary user's normal state preference distribution

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8958810B2 (en) * 2006-11-07 2015-02-17 Alcatel Lucent Method and apparatus for spectrum allocation in wireless networks

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106604282A (en) * 2016-12-08 2017-04-26 桂林电子科技大学 Micro-cell micro-base-station spectrum auction method with power distribution and beam forming
CN107172624A (en) * 2017-04-20 2017-09-15 浙江工业大学 A kind of frequency spectrum pricing method based on secondary user's normal state preference distribution

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
无线电频谱资源价值研究——以移动通信、导航及广播行业为例;吴刚等;《北京邮电大学学报(社会科学版)》;20140830;第62-29页 *
无线电频谱资源的价值特征及其计量方法研究;王小戈;《中国无线电》;20120526;第14-17页 *

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