CN110312280A - A kind of calculation method and device of downlink throughput capacity - Google Patents
A kind of calculation method and device of downlink throughput capacity Download PDFInfo
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- CN110312280A CN110312280A CN201910357218.5A CN201910357218A CN110312280A CN 110312280 A CN110312280 A CN 110312280A CN 201910357218 A CN201910357218 A CN 201910357218A CN 110312280 A CN110312280 A CN 110312280A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0888—Throughput
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Abstract
The embodiment provides a kind of calculation method of downlink throughput capacity and devices, are related to field of communication technology, solve the problems, such as how to calculate the downlink throughput capacity of 5G cell.This method includes the first downlink throughput capacity and SINR value of at least one measurement point in the coverage area of the scene map for obtaining cell, CQI data and cell;Wherein, CQI data include at least one CQI value;According to the corresponding relationship and CQI data of CQI value and SINR value, the probability that SINR value occurs in the section SINR is determined;According to the first downlink throughput capacity and SINR value, second downlink throughput capacity in each section SINR is determined;According to probability and scene map that the second downlink throughput capacity, SINR value occur in the section SINR, the third downlink throughput capacity of cell is determined.
Description
Technical field
The present invention relates to the calculation methods and device of field of communication technology more particularly to a kind of downlink throughput capacity.
Background technique
Currently, the 5th third-generation mobile communication technology (full name in English: 5th-Generation, referred to as: 5G) it is used as first China
Featured communication standard, standard is freezed substantially at present.From the point of view of equipment form, 5G newly eats dishes without rice or wine (full name in English: New
Radio, referred to as: NR) it is the novel base formed in conjunction with high-power (200W), big bandwidth (100MHz) and extensive antenna technology
It stands, as shown in Figure 1, NR has multiple subcarriers and can carry out wave beam forming.5G is different from traditional cellular mobile network, greatly
The powerful calculating ability of scale antenna equipment and equipment can greatly realize the pairing between different user, if better family is in
After point user's pairing, 1.2 times or more of both downlink throughput capacity is individual transmission.Therefore, the downlink throughput capacity of cell has been
Fourth generation mobile communication technology (full name in English: the 4th Generation mobile can not simply be used
Communication technology, referred to as: 4G) inner better downlink throughput capacity, midpoint downlink throughput capacity, not good enough downlink are handled up
Amount is to have evaluated.
It can be seen from the above, the downlink throughput capacity for how calculating 5G cell becomes a urgent problem to be solved.
Summary of the invention
The embodiment of the present invention provides the calculation method and device of a kind of downlink throughput capacity, solves and how to calculate 5G cell
Downlink throughput capacity the problem of.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
In a first aspect, the embodiment of the present invention provides a kind of calculation method of downlink throughput capacity, comprising: obtain the field of cell
The first downlink throughput capacity and SINR value of at least one measurement point in the coverage area of scape map, CQI data and cell;Its
In, CQI data include at least one CQI value;According to the corresponding relationship and CQI data of CQI value and SINR value, SINR value is determined
In the probability that the section SINR occurs;According to the first downlink throughput capacity and SINR value, determine that second downlink in each section SINR gulps down
The amount of spitting;According to probability and scene map that the second downlink throughput capacity, SINR value occur in the section SINR, under the third for determining cell
Row handling capacity.
By above scheme it is found that the calculation method for the downlink throughput capacity that the embodiment of the present invention provides, passes through covering for cell
The first downlink throughput capacity and SINR value of at least one measurement point within the scope of lid determine that second downlink in each section SINR gulps down
The amount of spitting, to establish the corresponding relationship in the different section SINR and the second downlink throughput capacity;Meanwhile according to CQI value and SINR value
Corresponding relationship and the cell CQI data, determine the probability that SINR value occurs in the section SINR, so that it is determined that SINR value with
The corresponding relationship in the section SINR;Finally, the probability occurred in the section SINR according to the second downlink throughput capacity, SINR value and scene
Figure, determines the third downlink throughput capacity of cell;Therefore, the calculating side for the downlink throughput capacity that embodiment through the invention provides
Method can calculate the downlink throughput capacity of 5G cell, solve the problems, such as how to calculate the downlink throughput capacity of 5G cell.
Second aspect, the embodiment of the present invention provide a kind of computing device of downlink throughput capacity, comprising: acquiring unit is used
It handles up in the first downlink of at least one measurement point in the coverage area of the scene map of acquisition cell, CQI data and cell
Amount and SINR value;Wherein, CQI data include at least one CQI value;Processing unit, for corresponding with SINR value according to CQI value
The CQI data that relationship and acquiring unit obtain, determine the probability that SINR value occurs in the section SINR;Processing unit is also used to
The SINR value that the first downlink throughput capacity and acquiring unit obtained according to acquiring unit obtains, determines the second of each section SINR
Downlink throughput capacity;Processing unit is also used to the probability occurred according to the second downlink throughput capacity, SINR value in the section SINR and acquisition
The scene map that unit obtains, determines the third downlink throughput capacity of cell.
The third aspect, the embodiment of the present invention provide a kind of computing device of downlink throughput capacity, comprising: communication interface, place
Manage device, memory, bus;Memory is for storing computer executed instructions, and processor is connect with memory by bus, instantly
When the computing device operation of row handling capacity, processor executes the computer executed instructions of memory storage, so that downlink throughput capacity
Computing device execute as above-mentioned first aspect provide method.
Fourth aspect, the embodiment of the present invention provide a kind of computer storage medium, including instruction, when its on computers
When operation, so that computer executes the method provided such as above-mentioned first aspect.
It is to be appreciated that the computing device of any downlink throughput capacity of above-mentioned offer is used to execute presented above the
On the one hand corresponding method, therefore, attainable beneficial effect can refer to first aspect above method and lower stationery
The beneficial effect of corresponding scheme in body embodiment, details are not described herein again.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the schematic diagram of internal structure of 5G NR in the prior art;
Fig. 2 is a kind of hardware system structure figure of the calculation method for downlink throughput capacity that the embodiment of the present invention provides;
Fig. 3 is a kind of simulation hardware equipment component portion of the calculation method for downlink throughput capacity that the embodiment of the present invention provides
Administration's figure;
Fig. 4 is a kind of one of the flow diagram of calculation method for downlink throughput capacity that the embodiment of the present invention provides;
Fig. 5 is the two of the flow diagram of the calculation method for a kind of downlink throughput capacity that the embodiment of the present invention provides;
Fig. 6 is a kind of CDF curve of the CQI value of the calculation method for downlink throughput capacity that the embodiment of the present invention provides;
Fig. 7 is a kind of CQI value of the calculation method for downlink throughput capacity that the embodiment of the present invention provides and pair of SINR value
It should be related to;
Fig. 8 is a kind of CDF curve of the SINR value of the calculation method for downlink throughput capacity that the embodiment of the present invention provides;
Fig. 9 be a kind of degree of correlation for the calculation method of downlink throughput capacity that the embodiment of the present invention provides schematic diagram it
One;
Figure 10 be a kind of degree of correlation for the calculation method of downlink throughput capacity that the embodiment of the present invention provides schematic diagram it
Two;
SINR- when Figure 11 is a kind of degree of correlation 0.3 of the calculation method for downlink throughput capacity that the embodiment of the present invention provides
The schematic diagram of downlink throughput capacity;
Figure 12 is the three of the flow diagram of the calculation method for a kind of downlink throughput capacity that the embodiment of the present invention provides;
Figure 13 is the four of the flow diagram of the calculation method for a kind of downlink throughput capacity that the embodiment of the present invention provides;
Figure 14 is a kind of one of the structural schematic diagram of computing device for downlink throughput capacity that the embodiment of the present invention provides;
Figure 15 is a kind of second structural representation of the computing device for downlink throughput capacity that the embodiment of the present invention provides.
Appended drawing reference:
The computing device -10 of downlink throughput capacity;
Acquiring unit -101;Processing unit -102.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
For the ease of clearly describing the technical solution of the embodiment of the present invention, in an embodiment of the present invention, use " the
One ", the printed words such as " second " distinguish function and the essentially identical identical entry of effect or similar item, and those skilled in the art can
To understand that the printed words such as " first ", " second " are not to be defined to quantity and execution order.
In embodiments of the present invention, " illustrative " or " such as " etc. words for indicate make example, illustration or explanation.This
Be described as in inventive embodiments " illustrative " or " such as " any embodiment or design scheme be not necessarily to be construed as comparing
Other embodiments or design scheme more preferably or more advantage.Specifically, use " illustrative " or " such as " etc. words purport
Related notion is being presented in specific ways.
In the description of the embodiment of the present invention, unless otherwise indicated, the meaning of " plurality " is refer to two or more.Example
Such as, multiple networks refer to two or more networks.
The terms "and/or", only a kind of incidence relation for describing affiliated partner, indicates that there may be three kinds of passes
System, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, these three situations of individualism B.Symbol herein
Number "/" indicates that affiliated partner is that relationship such as A/B perhaps indicates A or B.
The calculation method for the uplink throughput that the embodiment of the present invention provides is suitable for having base station and use as shown in Figure 1
Family equipment (full name in English: User Equipment, referred to as: UE);Wherein, base station is in transmission (transport, TX) information,
Data are transmitted by k transmission link;Kth transmission link is when transmitting information, comprising: firstly, according to subbase band is carried on
(subband) symbol (symbol) (symbol refers to that base station needs the information transmitted here) of k, then according to carrier wave interval
(subcarrier spacing) k carries out inverse fast Fourier transform (Inverse Fast Fourier into the symbol
Transform, IFFT) after obtain signal k, further to signal k addition (add) Cyclic Redundancy Code (cyclic prefix,
CP)kAfterwards, by beam shaping filter (spectrum shaping filter) to being added to CPkSignal k carry out signal at
Reason, so that obtaining kth transmission link carries out the signal k after beam forming;Finally, every transmission link is carried out beam forming
Signal k afterwards carries out wave beam integration, and the signal after wave beam integration is sent to signal receiving end by antenna, to realize
The transmission of information, k are the integer more than or equal to 1.
UE by antenna receive (receive, RX) sent from base station when being carried on symbol of the subbase with k, pass through first
Excipient filter carries out the signal processing signal that obtains that treated to the symbol, the CP of the signal is then removed, then to removal
The signal of CP carries out fast Fourier transform (Fast Fourier Transformation, FFT) according to carrier wave interval k, then
Orthogonal frequency division multiplexing (Orthogonal Frequency is carried out to the subbase band i for the signal for having carried out FFT signal processing
Division Multiplexing, OFDM) detection, turn so that antenna is received symbol of the subbase with k that be carried on that base station is sent
Change the identifiable signal of UE into.
Fig. 2 shows a kind of system architectures of the calculation method of downlink throughput capacity, comprising: acquiring unit and processing unit;
Wherein, acquiring unit needs to obtain channel quality instruction (full name in English: Channel Quality Indicator, letter respectively
Claim: CQI) the downlink throughput capacity data of distributed data and user equipment (full name in English: User Equipment, referred to as: UE),
The downlink throughput capacity data of CQI distributed data and UE that processing unit is used to be obtained according to acquiring unit calculate under being averaged of cell
Row handling capacity;Wherein, by UE, NR and channel simulator instrument or phase shifter when acquiring unit obtains the downlink throughput capacity data of UE
Multi-user's differentiation distribution scene that radio frequency is direct-connected, and formation is influenced without channel circumstance is carried out with attenuator;4 UE as shown in Figure 3
Access simulation hardware figure when analogue system, comprising: UE-1, channel simulator instrument -2 and base station 3;Wherein, channel simulator instrument has
The function of phase shifter and programmable attenuator;By the Signal to Interference plus Noise Ratio (full name in English: Signal to for providing UE
Interference plus Noise Ratio, referred to as: SINR) degree of correlation between position and UE obtains may in a variety of existing nets
Scene carry out User Datagram Protocol (English so that UE-1 establishes data link by channel simulator instrument -2 and base station -3
Literary full name: User Datagram Protocol, referred to as: UDP) downloading service, obtain the downlink throughput capacity (T ' of single UENWith
T′D), and finally calculate the downlink throughput capacity (T of the differentiation distribution of multiple usersNAnd TD)。
When acquiring unit obtains CQI distributed data, by software emulation, completes CQI acquisition and channel effect handles 2 portions
Point.The case where CQI collecting part is mainly the CQI distribution for completing cell-level user counts, and it is more can be divided into emulation, network analog
The methods of user's access.Subsequent main consideration is compared and analyzed using emulation herein.Multiple access is more in practical applications
Add approach real user distribution, but there is the problems such as needing terminal quantity to be difficult to control too much.When being emulated, channel shadow
Ringing the main channel scenario considered in actual environment comprising a variety of situations will also examine after defining the large scales such as path loss and influencing
Considering small scale influences.Small-scale model can be generally divided into non line of sight (full name in English: Non-Line of Sight, referred to as:
NLOS) or sighting distance (full name in English: Line of Sight, referred to as: LOS).This entity part mainly complete LOS and NLOS with
Difference without SINR under channel effect obtains the SINR CDF distribution under channel effect
The deployment of 5G business needs to carry out planning network transmission module using cell average size at present, since different scenes need
Capacity it is different, be 100Mbps in 4G stage peak capacity, actual measurement power-carrying is 40Mbps, therefore use 50% or so
Power-carrying measures the downlink throughput capacity of cell;And 5G stage peak capacity is 5Gbps, but surveying power-carrying is 600-
700Mbps;Since there are biggish differences with peak capacity for the power-carrying in 4G stage and 5G stage, if continuing to use 50%
The power-carrying of left and right measures the downlink throughput capacity of cell, will cause the wasting of resources of low discharge area transmission or high traffic areas
Domain transfer resource is insufficient;To solve the above-mentioned problems, the calculation method for the downlink throughput capacity that the embodiment of the present invention provides, according to
The first downlink throughput capacity and SINR value of at least one measurement point in the coverage area of scene map, CQI data and cell, meter
The biography of base station level may be implemented to meet the calculating of the downlink throughput capacity of different community in the downlink throughput capacity for calculating cell
Defeated needs estimate provides rational basis for network construction, reduces excess investment, and concrete implementation process is as follows:
It should be noted that the calculation method of downlink throughput capacity provided in an embodiment of the present invention is suitable for the net of built base station
Network plans scene;Illustratively, be illustrated by taking the newly-built base station 5G as an example, due in 5G there are multi-antenna technology (full name in English:
Operating mode Multi-User Multiple-Input Multiple-Output, referred to as: MU-MIMO), therefore downlink gulps down
The amount of spitting is affected by channel relevancy and channel condition, is not available and is based only upon the mode of SINR value and calculates downlink and handle up
Amount.Therefore, the embodiment of the present invention considers the CQI data of existing base station, leads to pair of CQI value and SINR value in the CQI data
Should be related to and the CQI data, determine user possible SINR distribution situation and different channel relevancies, provide and be suitable for
The calculation method of the downlink throughput capacity of 5G cell.
Embodiment one
The embodiment of the present invention provides a kind of calculation method of downlink throughput capacity, includes: as shown in Figure 4
S101, obtain at least one measurement point in the coverage area of the scene map of cell, CQI data and cell the
One downlink throughput capacity and SINR value;Wherein, CQI data include at least one CQI value.
It should be noted that when obtaining the CQI data of cell in actual application, it can be from the MR data of the cell
It extracts.
S102, according to the corresponding relationship and CQI data of CQI value and SINR value, determine that SINR value occurs in the section SINR
Probability.
Optionally, according to the corresponding relationship and CQI data of CQI value and SINR value, determine that SINR value goes out in the section SINR
Existing probability includes: as shown in Figure 5
The circulation way of S1020, the antenna for obtaining cell and measurement point;Wherein, circulation way includes NLOS and LOS.
S1021, according to CQI value, determine the first cumulative distribution function of CQI value.
It should be noted that, according to CQI value, determining the first cumulative distribution function of CQI value in actual application, wrap
It includes:
Choose preset time period (such as 3 months) in 4G now net in MR data, determine the distribution situation of CQI value.Wherein, MR
Table Header information in data in relation to CQI value is as shown in table 1.
Table 1
By the accounting (as shown in table 2) of the available different CQI values of table 1, and according to the available COI value of preset formula
Cumulative distribution function (full name in English: Cumulative Distribution Function, referred to as: CDF).Wherein, CDF is bent
Line is as shown in fig. 6, preset formula includes:
Wherein, FCQI(i) corresponding accounting, N when CQI value is i are indicatedCQI(i) indicate that CQI value is the total degree of i, M is indicated
CQI value is not 0 total degree.
Table 2
S1022, according to corresponding relationship and the first cumulative distribution function, determine the second cumulative distribution function of SINR value.
It, can be by right when obtaining the corresponding relationship of CQI value and SINR value it should be noted that in actual application
Than the relationship for obtaining 4G network and CQI value after the CQI value of 4G network and the relationship of SINR value;Further combined with 4G network and CQI
The relationship of value determines the corresponding relationship between the CQI value of 4G network and the SINR value of 5G network, is illustrated in fig. 7 shown below, substantially meets line
Sexual intercourse can be used following formula and be estimated:
SINR=1.9346 × CQI-6.799.
By the CDF curve of CQI value given above, the corresponding relationship of CQI value and SINR value, can determine;Wherein,
The CDF curve of SINR value includes:
F (SINR)=a × SINR3+b×SINR2+c×SINR+d。
Wherein, a, b, c, d are respectively constant, and F (SINR) is the probability that user occurs in the SINR value.
Specifically, the CDF curve of SINR value is as shown in Figure 8.
S1023, according to the second cumulative distribution function and circulation way, determine that SINR value is in the area SINR under different circulation ways
Between the probability that occurs.
It should be noted that in actual application, channel is particularly important to the influence of 5G MU-MIMO scene;Without
Same circulation way, will affect channel to the influence of 5G MU-MIMO scene;And corresponding propagation when channel is established in UE and base station
Mode is divided into NLOS and LOS, and needing to calculate circulation way is that NLOS (abbreviation NLOS diameter) corresponding SINR value goes out in the section SINR
Existing probability and circulation way is the probability that LOS (abbreviation LOS diameter) corresponding SINR value occurs in the section SINR, specifically
Calculation is as follows:
For the actual distribution of better analog subscriber, so that total downlink throughput capacity T under obtained NLOS diameterNLOSAnd
Total downlink throughput capacity T under LOS diameterLOSIt is more accurate;Therefore, it is necessary to collect the downlink throughput capacity data at the same position SINR
And the downlink throughput capacity data at the difference position SINR.
Wherein, the collection process with the downlink throughput capacity data at the position SINR is as follows:
Typical SINR value is chosen, as selection SINR value is 22, SINR value 18, SINR value 9, SINR value 6, SINR value
It is -2 this 6 point (cover fabulous point, better, midpoint, not good enough) for 0 and SINR value;The distribution pattern of UE is to place 4 or more
For (containing 4) UE on above-mentioned identical SINR value position, power-carrying is may be implemented in guarantee.Here the original of 4 UE is placed in selection
Because being that could support up 4 road downlinks due to a UE, and 16 road downlinks are supported in each base station simultaneously, therefore place 4
The downlink throughput capacity of the base station full load can be simulated when UE;Certainly, in actual application, when the maximum that base station is supported
Downlink number be N when, and UE support maximum downlink number be n when, at this time the base station full load support UE quantity
For
Illustratively, with the degree of correlation be 0.3 0.5 0.8, SINR value 22, SINR value 18, SINR value 9, SINR value
For 6, SINR value be 0 and SINR value is -2, and being illustrated for the downlink throughput capacity measured at the different positions UE (wherein, needs
The data to be recorded are as shown in table 3).
Wherein, the midpoint Fig. 9 o is the antenna of the corresponding base station of cell, and point a is UE-a, point b is UE-b, point c is UE-c and point
D is UE-d;Wherein, point a, point b, point c and point d are located on the boundary of same concentric circles o, each on same concentric circles
The SINR value of a UE is identical;Specifically, the degree of correlation between each UE can be placed according to the degree of correlation of actual requirement;Show
Example property, it is illustrated by taking the degree of correlation between UE-a and UE-b as an example, the calculation of the degree of correlation between other each UE
The calculation of the degree of correlation between UE-a and UE-b is identical, and details are not described herein again.
Specifically, the degree of correlation is equal to the angle that any two UE is formed with the line of antenna for base station respectively;Such as: level side
Point b and the line of center of circle o are formed on the line and horizontal direction of upward point a and center of circle o (indicating the position where antenna for base station)
Angle theta;Alternatively, point in the line of point d and center of circle o (indicating the position where antenna for base station) and horizontal direction in horizontal direction
The angle theta that the line of b and center of circle o is formed;Alternatively, as shown in Figure 10 in vertical direction point a and center of circle o line and horizontal direction
The angle theta that the line of upper b and center of circle o is formed.
Specifically, mode 1, mode 2, mode 3, mode 4, mode 5 and mode 6 indicate 4 UE being placed in phase simultaneously
With SINR value on corresponding position.
Table 3
By measuring under each degree of correlation, each typical case's SINR value (include: SINR value be 22, SINR value 18, SINR value
For 9, SINR value 6, SINR value be 0 and SINR value is -2) corresponding downlink throughput capacity, it fits under the same degree of correlation
SINR- is averaged downlink throughput capacity curve, as shown in figure 11 (abscissa is SINR value, and ordinate is average downlink throughput capacity), gives
The average downlink throughput capacity curve of SINR value when the degree of correlation is 0.3 is gone out;Wherein, the average downlink throughput capacity of each point is equal to same
The average value of the downlink throughput capacity of each UE under one SINR value.
It is final to obtain the SINR- that the degree of correlation is respectively 0.3,0.5 and 0.8 and be averaged downlink throughput capacity curve, such as following public affairs
Shown in formula:
T0.3SINR(SINR)=f1(SINR);
T0.5SINR(SINR)=f2(SINR);
T0.8SINR(SINR)=f3(SINR)。
Based on the formula of the single degree of correlation, the average downlink throughput capacity under single SINR is calculated:
Wherein, n1For the number of the degree of correlation of selection;Since the present invention only selects
0.3,0.5 and 0.8 3 degree of correlation, therefore n1Equal to 3.
Illustratively, be 22 with SINR value, SINR value 18, SINR value 9, SINR value 6, SINR value be 0 and
SINR value is -2, is illustrated for the degree of correlation 0.3,0.5 and 0.8:
The average downlink throughput capacity that SINR value is 22
SINR value is 18, SINR value 9, SINR value 6, SINR value be 0 or and SINR value be -2 average downlink gulp down
The calculation for the amount of spitting is identical as the calculation of average downlink throughput capacity that SINR value is 22, and details are not described herein again.
It is averaged downlink throughput capacity value for different SINR-, calculates the downlink throughput capacity in certain section SINR:
Wherein, N_gap is the total number of the representative point of the middle selection in the section SINR.
Illustratively, as shown in table 4 with the section SINR be respectively [- 2.5,2.5], [2.5,7.5], [7.5,12.5],
It is illustrated for [12.5,17.5] and [17.5,22.5], chooses SINR value respectively when wherein the section SINR is [- 2.5,2.5]
For -2, -1,0,1 and 2 point as representative point, N_gap is equal to 5 at this time;SINR is chosen respectively when being [2.5,7.5] in the section SINR
The point that value is 3,4,5,6 and 7 is as representative point, and N_gap is equal to 5 at this time;It is chosen respectively when being [7.5,12.5] in the section SINR
The point that SINR value is 8,9,10,11 and 12 is as representative point, and N_gap is equal to 5 at this time;The section SINR is [12.5, the 17.5] time-division
Not Xuan Qu SINR value be 13,14,15,15 and 16 point be used as representative point, N_gap is equal to 5 at this time;The section SINR be [17.5,
Choosing SINR value when 22.5] respectively is 18,19,20,21 and 22 point as representative point, and N_gap is equal to 5 at this time.
Table 4
According to the data recorded in table 4, the average downlink in the different sections at the same position SINR can be calculated separately out
Handling capacity;Wherein, TSINR(X) when be SINR value being X the downlink throughput capacity of each UE average value.
Wherein, the collection process of the downlink throughput capacity data at the different positions SINR is as follows:
5 kinds of typically different SINR value distribution situations are chosen, respectively by 4 or more (containing 4) UE according to the distributed mode in table 5
Formula is placed on the position of identical SINR value, to guarantee to realize base station power-carrying.
Table 5
UE is placed into UE according to distribution pattern as shown in table 5 according to the selected degree of correlation, typical SINR value, and is collected every
The downlink throughput capacity of a UE;Illustratively, it is illustrated, is recorded under different situations by taking the degree of correlation is 0.3,0.5 and 0.8 as an example
Total downlink throughput capacity of whole UE, as shown in table 6.
Table 6
According to the data recorded in table 6, it is corresponding that the different distributions mode at the different positions SINR can be calculated separately out
Average downlink throughput capacity;Wherein, TD (TMx) it is the average value and midpoint of the downlink throughput capacity of the better each UE in place under mode X
The average value of the downlink throughput capacity of each UE and the sum of the average value of downlink throughput capacity for almost locating each UE.
Based at the obtained identical position SINR calculated above downlink throughput capacity data and the different positions SINR under
Row throughput data, calculates separately probability that the corresponding SINR value of NLOS diameter occurs in the section SINR and LOS diameter is corresponding
The probability that SINR value occurs in the section SINR, concrete implementation process are as follows:
1, according to the CDF ratio of the typical SINR value of no channel effect, the specific sections centered on representative value are calculated
Interior probability is indicated using P (SINR);Wherein, P (SINR)=F (SINR_UP)-F (SINR_DOWN), SINR_UP is SINR value
The value upper limit, SINR_DOWN be SINR value value lower limit, F (SINR) are as follows:
F (SINR)=a × SINR3+b×SINR2+c×SINR+d。
It illustratively, is respectively [- 2.5,2.5], [2.5,7.5], [7.5,12.5], [12.5,17.5] with the section SINR
It is illustrated for [17.5,22.5], the probability in each section SINR is as shown in table 7.
Table 7
P_SINR_gap | SINR_gap | Probability |
P_ [- 2.5,2.5] | [- 2.5,2.5] | P_ [- 2.5,2.5]=F (2.5)-F (- 2.5) |
P_ [2.5,7.5] | [2.5,7.5] | P_ [2.5,7.5]=F (7.5)-F (2.5) |
P_ [7.5,12.5] | [7.5,12.5] | P_ [7.5,12.5])=F (12.5)-F (7.5) |
P_ [12.5,17.5] | [12.5,17.5] | P_ [12.5,17.5]=F (17.5)-F (12.5) |
P_ [17.5,22.5] | [17.5,22.5] | P_ [17.5,22.5]=F (22.5)-F (17.5) |
2, under 5G MU-MIMO scene, the influence of channel is particularly important.Therefore NLOS diameter, LOS diameter and no path loss are calculated
Lower SINR value difference, calculating process is as follows:
Establish position R and SINR under NLOSNLOSRelationship:
SINRNLOS=SINRui;
Establish position R and SINR under NLOSLOSRelationship:
SINRLOS=SINRui。
SINR under same positionNLOSWith SINRLOSThe difference of value, under same base configuration:
It should be noted that due to the SINR under different locationNLOSWith SINRLOSThe difference of value is also corresponding same SINR
Without path loss and the SINR difference for having path loss under position, the SINR difference obtained in whole coverage areas is then carried out average acquisition
One average difference value;Therefore, herein without calculating SINR under different locationNLOSWith SINRLOSThe difference of value.
For the following is dense city, table 8 is had recorded:
Table 8
Therefore:
SINRLOS=SINR-2.9568;
SINRNLOS=SINR-11.9258.
According to the value CDF curve of the SINR of no channel effect, without SINR in the case of path lossNLOSWith SINRLOSThe difference of value,
Calculate the value CDF curve (F of corresponding SINR when NLOS diameterNLOS(SINRNLOS)) and the CDF of when LOS diameter corresponding SINR value it is bent
Line (FLOS(SINRLOS))。
FLOS(SINRLOS)=a2×SINRLOS 3+b2×SINRLOS 2+c2×SINRLOS+e2;
FNLOS(SINRNLOS)=a3×SINRNLOS 3+b3×SINRNLOS 2+c3×SINRNLOS+e3。
When illustratively, with LOS diameter and NLOS diameter, the corresponding section SINR be respectively [- 2.5,2.5], [2.5,7.5],
It is illustrated for [7.5,12.5], [12.5,17.5] and [17.5,22.5];Wherein, the corresponding SINR value of LOS diameter is in SINR
The probability that section occurs is as shown in table 9, and the probability that the corresponding SINR value of NLOS diameter occurs in the section SINR is as shown in table 10.
Table 9
PLOS_SINR_gap | SINR_gap | Probability |
PLOS_ [- 2.5,2.5] | [- 2.5,2.5] | PLOS_ [- 2.5,2.5]=FLOS(2.5)-FLOS(-2.5) |
PLOS_ [2.5,7.5] | [2.5,7.5] | PLOS_ [2.5,7.5]=FLOS(7.5)-FLOS(2.5) |
PLOS_ [7.5,12.5] | [7.5,12.5] | PLOS_ [7.5,12.5]=FLOS(12.5)-FLOS(7.5) |
PLOS_ [12.5,17.5] | [12.5,17.5] | PLOS_ [12.5,17.5]=FLOS(17.5)-FLOS(12.5) |
PLOS_ [17.5,22.5] | [17.5,22.5] | PLOS_ [17.5,22.5]=FLOS(22.5)-FLOS(17.5) |
Table 10
S103, according to the first downlink throughput capacity and SINR value, determine second downlink throughput capacity in each section SINR.
Optionally, according to the first downlink throughput capacity and SINR value, second downlink throughput capacity in each section SINR is determined, such as
Include: shown in Figure 12
S1030, according to SINR value, determine the distribution pattern of measurement point;Wherein, distribution pattern refers to measurement point with identical or not
It is distributed with SINR;
Refer to UE be placed at the identical position SINR it should be noted that measurement point carries out distribution with identical SINR,
Measurement point carries out distribution with different SINR and refers to UE is placed at the different positions SINR;Illustratively, UE is placed in difference
It can be placed according to the distribution pattern of table 5 when at the position SINR.
S1031, according to distribution pattern and the first downlink throughput capacity, determine the second downlink throughput capacity of different distributions mode.
It should be noted that determining the second downlink of different distributions mode according to distribution pattern and the first downlink throughput capacity
Handling capacity, comprising:
According to the downlink throughput capacity data at the same position SINR, the downlink throughput capacity data at the difference position SINR, LOS diameter
When each section SINR probability and NLOS diameter when each section SINR probability, determine the second downlink of different distributions mode
Handling capacity, specific as follows:
According at the different positions SINR downlink throughput capacity data, LOS diameter when each section SINR probability and NLOS
The probability in each section SINR when diameter, determination are corresponding with the section difference SINR when the-LOS diameter of the position SINR
PMode identical point _ LOS_SINR_gap, with the corresponding P in the section difference SINR when the-NLOS diameter of the position SINRMode identical point _ NLOS_SINR_gap, difference SINR
The corresponding P in the section difference SINR when the-LOS diameter of positionMode difference _ LOS_SINR_gapWith difference SINR when the different position SINR-NLOS diameters
The corresponding P in sectionMode difference _ NLOS_SINR_gap。
According to the downlink throughput capacity data, corresponding with the section difference SINR when the-LOS diameter of the position SINR at the same position SINR
PMode identical point _ LOS_SINR_gap, with the corresponding P in the section difference SINR when the-NLOS diameter of the position SINRMode identical point _ NLOS_SINR_gap, difference SINR
The corresponding P in the section difference SINR when the-LOS diameter of positionMode difference _ LOS_SINR_gapWith difference SINR when the different position SINR-NLOS diameters
The corresponding P in sectionMode difference _ NLOS_SINR_gap, determine the second downlink throughput capacity of different distributions mode.
S104, the probability and scene map occurred according to the second downlink throughput capacity, SINR value in the section SINR, determine cell
Third downlink throughput capacity.
Optionally, scene map includes 3D map or planning chart;According to the second downlink throughput capacity, SINR value in the area SINR
Between the probability and scene map that occur, determine the third downlink throughput capacity of cell, include: as shown in figure 13
S1040, according to 3D map or planning chart, determine the scene classification of cell;Wherein, scene classification includes intensive point
Cloth scene or dispersed distribution scene, SINR variable quantity is less than or equal to variable quantity threshold value, dispersed distribution in dense distribution scene
SINR variable quantity is greater than variable quantity threshold value in scene, SINR variable quantity by SINR value maximum value and minimum value determine.
It should be noted that in actual application, by being analyzed situations such as building, vegetation in the cell,
It can determine that the scene classification of the cell is divided into dense distribution region or dispersed distribution region.
Wherein, dense distribution region mainly includes office building, gymnasium, residential quarter etc.;In dense distribution region
User distribution generally meets: the case where user is mostly in a kind of intensive stationary state, and a small amount of user is in dispersion movement;Phase
The network performance distribution being located in dense distribution region answered meets following situation: most of UE is in same SINR value range
Interior, if overall variation does not exceed 5dB, a small amount of UE will appear the jump that SINR value is greater than 5dB.It should be noted that in reality
Application in be directed to intensive scene, we preferentially guarantees all meet with position distribution point progress user's pairings, other positions
Point then using remaining point carry out user's pairing.
Dispersed distribution region mainly includes park, market, road etc.;User distribution in dispersed distribution region is general
Meet: the case where user is mostly in a kind of intensive stationary state, and a small amount of user is in dense motion;Positioned at dispersed distribution area
Network performance distribution in domain meets following situation: most of UE is within the scope of different SINR values, as overall variation is more than
5dB, a small amount of UE is opposing stationary, and SINR value variation is less than the jump of 5dB.
Specifically, determining the scene classification of cell according to 3D map or planning chart, comprising:
According to 3D map or planning chart, first gross area of computation-intensive distribution scene;Wherein, dense distribution scene packet
Include office building, gymnasium, the one or more in residential quarter.
According to first gross area, P is calculatedIntensively;Wherein,A is first gross area, and b is the area coverage of cell.
According to 3D map or planning chart, second gross area of dispersed distribution scene is calculated;Wherein, dispersed distribution scene packet
Include the one or more in park, market and road.
According to second gross area, P is calculatedDispersion;Wherein,C is second gross area, and b is the area coverage of cell.
Determine PIntensivelyWhen > 50%, determine that the cell is dense distribution scene.
Determine PDispersionWhen > 50%, determine that the cell is dispersed distribution scene.
Determine PIntensively≤ 50% or PDispersionWhen≤50%, determine that the cell is other distribution scenes.
S1041, according to SINR value under the second downlink throughput capacity of different distributions mode, different circulation ways in the section SINR
The probability and scene classification of appearance, determine third downlink throughput capacity.
It should be noted that in actual application, when calculating third downlink throughput capacity, if the cell belongs to dense distribution
Scene then needs the third downlink for calculating the cell in such a way that dense distribution scene calculates third downlink throughput capacity to handle up
Amount;If the cell belongs to dispersed distribution scene, the meter in such a way that intensively dispersion scene calculates third downlink throughput capacity is needed
The third downlink throughput capacity of the cell is calculated, specific calculation is as follows:
When the scene classification for determining the cell is dense distribution scene, according to the downlink throughput capacity at the different positions SINR
When data, LOS diameter when the probability and NLOS diameter in each section SINR each section SINR probability, determine with the position SINR-
The corresponding P in the section difference SINR when LOS diameterMode identical point _ LOS_SINR_gap, it is corresponding with the section difference SINR when the-NLOS diameter of the position SINR
PMode identical point _ NLOS_SINR_gap, the difference position SINR-LOS diameter when the corresponding P in the section difference SINRMode difference _ LOS_SINR_gapAnd difference
The corresponding P in the section difference SINR when the-NLOS diameter of the position SINRMode difference _ NLOS_SINR_gap, it specifically includes:
When according to LOS diameter when the probability and NLOS diameter in each section SINR each section SINR probability, determine intensive
The probability P in the section SINR is appeared under distribution scene LOS diameter with the SINR value at the position SINRMode identical point _ LOS_SINR_gapAnd really
Determine the probability for appearing in the section SINR under dense distribution scene NLOS diameter with the SINR value at the position SINR
PMode identical point _ NLOS_SINR_gap.Wherein,
Wherein, SINR_gap is the calculative section SINR, and M is the sum of UE.
It should be noted that the sum of UE is equal to the quantity of the UE used when realizing base station power-carrying;Illustratively, originally
The embodiment of invention has used 4 UE when realizing base station power-carrying, therefore M is equal to 4.
Illustratively, with it is computation-intensive distribution scene the same position SINR LOS diameter SINR value appear in the section SINR [-
2.5,2.5] probability PMode identical point _ LOS_SINR_gapFor be illustrated, comprising:
As shown in Table 9, under the same position SINR of dense distribution scene, single SINR value appears in the section SINR under LOS diameter
The probability P of [- 2.5,2.5]LOS_[- 2.5,2.5]=FLOS(2.5)-FLOS(-2.5);ByIt is found that
The same position the SINR LOS diameter SINR value of dense distribution scene appears in the probability of the section SINR [- 2.5,2.5]
PMode identical point _ LOS_SINR_gap=(FLOS(2.5)-FLOS(-2.5))M。
Or it is computation-intensive distribution scene the same position SINR NLOS diameter SINR value appear in the section SINR [- 2.5,
2.5] probability PMode identical point _ NLOS_SINR_gapProcess it is as follows: as shown in Table 10, under the same position SINR of dense distribution scene,
Single SINR value appears in the probability P of the section SINR [- 2.5,2.5] under NLOS diameterNLOS_[- 2.5,2.5]=FNLOS(2.5)-FNLOS(-
2.5);ByIt is found that the same position the SINR NLOS diameter SINR value of dense distribution scene
Appear in the probability P of the section SINR [- 2.5,2.5]Mode identical point _ NLOS_SINR_gap=(FNLOS(2.5)-FNLOS(-2.5))M。
When according to LOS diameter when the probability and NLOS diameter in each section SINR each section SINR probability, determine intensive
The different position the SINR LOS diameter SINR values of distribution scene appear in the probability P in the section SINRMode difference _ LOS_SINR_gapAnd it determines
The different position the SINR NLOS diameter SINR values of dense distribution scene appear in the probability P in the section SINRMode difference _ NLOS_SINR_gap.Its
In,
Wherein, N is UE sum, and n is the total number of SINR_gap, MjiTo be in SINR_gap under mode ijUE sum.
It should be noted that distribution pattern is as shown in table 5, reality of the invention when UE is in different SINR position distributions
It applies convention and sets a value in [18,22dB], midpoint value is in [6,10dB], and not good enough value is in [- 2,2], specific O&M people
Member can set point, midpoint and the not good enough section SINR according to practical situation.
CDF curve (the F of corresponding SINR value when by NLOS diameterNLOS(SINRNLOS)) and when LOS diameter corresponding SINR value
CDF curve (FLOS(SINRLOS)) it is found that it is F that SINR value, which appears in the probability in better section [18,22dB], under NLOS diameterNLOS
(22)-FNLOS(18), it is F that SINR value, which appears in the probability in midpoint section [6,10dB],NLOS(10)-FNLOS(6), SINR value occurs
It is F in the probability of not good enough section [- 2,2dB]NLOS(2)-FNLOS(-2);Under LOS diameter SINR value appear in better section [18,
22dB] probability be FLOS(22)-FLOS(18), it is F that SINR value, which appears in the probability in midpoint section [6,10dB],LOS(10)-FLOS
(6), it is F that SINR value, which appears in the probability in not good enough section [- 2,2dB],LOS(2)-FLOS(-2)。
Illustratively, it is distributed with 4 UE according to the mode 1 in table 5, the different positions SINR of computation-intensive distribution scene
LOS diameter SINR value appears in the probability P of the section SINR [- 2.5,2.5]Mode difference _ LOS_SINR_gapFor be illustrated, comprising:
As shown in Table 9, it is F that the single SINR value of LOS diameter, which appears in the probability in the section SINR [18,22dB],LOS(22)-FLOS
(18), it is F that single SINR value, which appears in the probability in the section SINR [6,10dB],LOS(10)-FLOS(6), single SINR value appears in
The probability in the section SINR [- 2,2] is FLOS(2)-FLOS(- 2), then
Or it is distributed with 4 UE according to the mode 1 in table 5, the different position the SINR NLOS of computation-intensive distribution scene
Diameter SINR value appears in the probability P of the section SINR [- 2.5,2.5]Mode difference _ NLOS_SINR_gapCalculating process it is as follows:
As shown in Table 10, it is F that the single SINR value of NLOS diameter, which appears in the probability in the section SINR [18,22dB],NLOS(22)-
FNLOS(18), it is F that single SINR value, which appears in the probability in the section SINR [6,10dB],NLOS(10)-FNLOS(6), single SINR value goes out
The probability in the present section SINR [- 2,2] is FNLOS(2)-FNLOS(- 2), then
Specifically, in actual application, with the downlink throughput capacity data and the different positions SINR acquired at the position SINR
The downlink throughput capacity data for locating acquisition can have the case where repeating;Therefore, in order to improve the computational accuracy of third downlink throughput capacity,
After needing balanced removal position identical point, relationship of the different sections the SINR left point in the different positions SINR is as follows:
PLOS_SINR_gap-PMode identical point _ LOS_SINR_gap=aj×PMode difference _ LOS_SINR_gap;
PNLOS_SINR_gap-PMode identical point _ NLOS_SINR_gap=aj×PMode difference _ NLOS_SINR_gap。
Wherein, ajFor constant.
It illustratively, is respectively [- 2.5,2.5], [2.5,7.5], [7.5,12.5], [12.5,17.5] with the section SINR
[17.5,22.5] are calculated with the corresponding P in the section difference SINR when the-LOS diameter of the position SINRMode identical point _ LOS_SINR_gap, same to SINR
The corresponding P in the section difference SINR when the-NLOS diameter of positionMode identical point _ NLOS_SINR_gap, the difference position SINR-LOS diameter when the area difference SINR
Between corresponding PMode difference _ LOS_SINR_gapIt is corresponding with the section difference SINR when the different position SINR-NLOS diameters
PMode difference _ NLOS_SINR_gapFor be illustrated:
By the P of dense distribution sceneMode identical point _ LOS_SINR_gap、PMode identical point _ NLOS_SINR_gap、PMode difference _ LOS_SINR_gapWith
PMode difference _ NLOS_SINR_gapCalculation formula can calculate separately out the corresponding P in each section SINRMode identical point _ LOS_SINR_gap、
PMode identical point _ NLOS_SINR_gap、PMode difference _ LOS_SINR_gapAnd PMode difference _ NLOS_SINR_gapValue.
Further, according to PLOS_SINR_gapj-PMode identical point _ LOS_SINR_gap=aj×PMode difference _ LOS_SINR_gapWith
PNLOS_SINR_gapj-PMode identical point _ NLOS_SINR_gap=aj×PMode difference _ NLOS_SINR_gap, after available duplicate removal
PMode identical point _ LOS_SINR_gap、PMode identical point _ NLOS_SINR_gap、PMode difference _ LOS_SINR_gapAnd PMode difference _ NLOS_SINR_gapValue;Wherein,
With the corresponding P in the section difference SINR when the-LOS diameter of the position SINRMode identical point _ LOS_SINR_gap, with the position SINR-NLOS diameter Shi Butong
The corresponding P in the section SINRMode identical point _ NLOS_SINR_gapAs shown in table 11, the section difference SINR is corresponding when the different position SINR-LOS diameters
PMode difference _ LOS_SINR_gapWith the corresponding P in the section difference SINR when the different position SINR-NLOS diametersMode difference _ NLOS_SINR_gapSuch as table
Shown in 12.
Table 11
Table 12
It should be noted that in actual application, the circulation way of UE and the antenna of the cell in cell only include
LOS diameter or NLOS diameter, it is therefore desirable to the probability of LOS diameter and NLOS diameter in the cell is calculated, specific as follows:
In dense city (unauthorized mobile access (full name in English: Unlicensed Mobile Access, abbreviation: UMA)
In the case of, it is calculated using following formula:
Wherein, d2D-outFor horizontal coverage distance, R is coverage distance;hBSFor base station height;hUTFor UE height.
According to the second downlink throughput capacity T under above-mentioned LOS diameterLOS, the second downlink throughput capacity T under NLOS diameterNLOSAnd
PrLOS, determine the third downlink throughput capacity T of dense distribution sceneIntensively.Wherein, TIntensively=TLOS×PrLOS+TNLOS×(1-PrLOS),
The second downlink throughput capacity T under LOS diameterLOSCalculation are as follows:
The second downlink throughput capacity T under NLOS diameterNLOSCalculation are as follows:
When the scene classification for determining the cell is dispersed distribution scene, according to the downlink throughput capacity at the different positions SINR
When data, LOS diameter when the probability and NLOS diameter in each section SINR each section SINR probability, determine with the position SINR-
The corresponding P in the section difference SINR when LOS diameterMode identical point _ LOS_SINR_gap, it is corresponding with the section difference SINR when the-NLOS diameter of the position SINR
PMode identical point _ NLOS_SINR_gap, the difference position SINR-LOS diameter when the corresponding P in the section difference SINRMode difference _ LOS_SINR_gapAnd difference
The corresponding P in the section difference SINR when the-NLOS diameter of the position SINRMode difference _ NLOS_SINR_gap。
It should be noted that when the scene classification for determining the cell is dispersed distribution scene, at the different positions SINR
Downlink throughput capacity data, LOS diameter when each section SINR probability and NLOS diameter when each section SINR probability, determine
With the corresponding P in the section difference SINR when the-LOS diameter of the position SINRMode identical point _ LOS_SINR_gap, with the position SINR-NLOS diameter Shi Butong
The corresponding P in the section SINRMode identical point _ NLOS_SINR_gap, the difference position SINR-LOS diameter when the section difference SINR it is corresponding
PMode difference _ LOS_SINR_gapWith the corresponding P in the section difference SINR when the different position SINR-NLOS diametersMode difference _ NLOS_SINR_gap, specifically
Include:
When according to LOS diameter when the probability and NLOS diameter in each section SINR each section SINR probability, determine dispersion
SINR value under distribution scene LOS diameter at the difference position SINR appears in the probability P in the section SINRMode difference _ LOS_SINR_gapAnd
Determine that the SINR value under dispersed distribution scene NLOS diameter at the difference position SINR appears in the probability in the section SINR
PMode difference _ NLOS_SINR_gap.Wherein,
Wherein, N is UE sum, and n is the total number of SINR_gap, MjiTo be in SINR_gap under mode ijUE sum.
It should be noted that the P of dispersed distribution sceneMode difference _ LOS_SINR_gapCalculation and dense distribution scene
PMode difference _ LOS_SINR_gapCalculation it is identical, while the P of dispersed distribution sceneMode difference _ NLOS_SINR_gapCalculation with it is close
The P of collection distribution sceneMode difference _ NLOS_SINR_gapCalculation it is identical, details are not described herein again.
Specifically, in actual application, with the downlink throughput capacity data and the different positions SINR acquired at the position SINR
The downlink throughput capacity data for locating acquisition can have the case where repeating;Therefore, in order to improve the computational accuracy of third downlink throughput capacity,
After needing balanced removal position identical point, the relationship of the different sections SINR left point and the different positions SINR is as follows:
PMode identical point _ LOS_SINR_gap=PLOS_SINR_gap-aj×PMode difference _ LOS_SINR_gap;
PMode identical point _ NLOS_SINR_gap=PNLOS_SINR_gap-aj×PMode difference _ NLOS_SINR_gap。
Wherein, ajConstant.
It illustratively, is respectively [- 2.5,2.5], [2.5,7.5], [7.5,12.5], [12.5,17.5] with the section SINR
[17.5,22.5] are calculated with the corresponding P in the section difference SINR when the-LOS diameter of the position SINRMode identical point _ LOS_SINR_gap, same to SINR
The corresponding P in the section difference SINR when the-NLOS diameter of positionMode identical point _ NLOS_SINR_gap, the difference position SINR-LOS diameter when the area difference SINR
Between corresponding PMode difference _ LOS_SINR_gapIt is corresponding with the section difference SINR when the different position SINR-NLOS diameters
PMode difference _ NLOS_SINR_gapFor be illustrated:
By the P of dispersed distribution sceneMode identical point _ LOS_SINR_gap、PMode identical point _ NLOS_SINR_gap、PMode difference _ LOS_SINR_gapWith
PMode difference _ NLOS_SINR_gapCalculation formula can calculate separately out the corresponding P in each section SINRMode identical point _ LOS_SINR_gap、
PMode identical point _ NLOS_SINR_gap、PMode difference _ LOS_SINR_gapAnd PMode difference _ NLOS_SINR_gapValue.
Further, according to PMode identical point _ LOS_SINR_gap=PLOS_SINR_gap-aj×PMode difference _ LOS_SINR_gapWith
PMode identical point _ NLOS_SINR_gap=PNLOS_SINR_gap-aj×PMode difference _ NLOS_SINR_gap, after available duplicate removal
PMode identical point _ LOS_SINR_gap、PMode identical point _ NLOS_SINR_gap、PMode difference _ LOS_SINR_gapAnd PMode difference _ NLOS_SINR_gapValue;Wherein,
With the corresponding P in the section difference SINR when the-LOS diameter of the position SINRMode identical point _ LOS_SINR_gap, with the position SINR-NLOS diameter Shi Butong
The corresponding P in the section SINRMode identical point _ NLOS_SINR_gapAs shown in table 13, the section difference SINR is corresponding when the different position SINR-LOS diameters
PMode difference _ LOS_SINR_gapWith the corresponding P in the section difference SINR when the different position SINR-NLOS diametersMode difference _ NLOS_SINR_gapSuch as table
Shown in 14.
Table 13
Table 14
Different location LOS | Different location NLOS | |
Mode 1 | PMode difference _ 1LOS | PMode difference _ 1NLOS |
Mode 2 | PMode difference _ 2LOS | PMode difference _ 2NLOS |
Mode 3 | PMode difference _ 3LOS | PMode difference _ 3NLOS |
Mode 4 | PMode difference _ 4LOS | PMode difference _ 4NLOS |
Mode 5 | PMode difference _ 5LOS | PMode difference _ 5NLOS |
It should be noted that in actual application, the circulation way of UE and the antenna of the cell in cell only include
LOS diameter or NLOS diameter, it is therefore desirable to the probability of LOS diameter and NLOS diameter in the cell is calculated, specific as follows:
In the case that dense city (when UMA, being calculated using following formula :)
Wherein, d2D-outFor horizontal coverage distance, R is coverage distance;hBSFor base station height;hUTFor UE height.
According to the second downlink throughput capacity T under above-mentioned LOS diameterLOS, the second downlink throughput capacity T under NLOS diameterNLOSAnd
PrLOS, determine the third downlink throughput capacity T of dispersed distribution sceneDispersion.Wherein, TDispersion=TLOS×PrLOS+TNLOS×(1-PrLOS),
The second downlink throughput capacity T under LOS diameterLOSCalculation are as follows:
TLOS=∑ PMode identical point _ LOS_SINR_gap×T_SINR_gap+∑PMode difference _ LOS_SINR_gap×TD(TMi);
The second downlink throughput capacity T under NLOS diameterNLOSCalculation are as follows:
TNLOS=∑ PMode identical point _ NLOS_SINR_gap×T_SINR_gap+∑PMode difference _ NLOS_SINR_gap×TD(TMi)。
Specifically, when the scene classification of the cell is other distribution scenes, the downlink throughput capacity of other distribution scenes
TNLOS_ otherCalculation formula are as follows:
By above scheme it is found that the calculation method for the downlink throughput capacity that the embodiment of the present invention provides, passes through covering for cell
The first downlink throughput capacity and SINR value of at least one measurement point within the scope of lid determine that second downlink in each section SINR gulps down
The amount of spitting, to establish the corresponding relationship in the different section SINR and the second downlink throughput capacity;Meanwhile according to CQI value and SINR value
Corresponding relationship and the cell CQI data, determine the probability that SINR value occurs in the section SINR, so that it is determined that SINR value with
The corresponding relationship in the section SINR;Finally, the probability occurred in the section SINR according to the second downlink throughput capacity, SINR value and scene
Figure, determines the third downlink throughput capacity of cell;Therefore, the calculating side for the downlink throughput capacity that embodiment through the invention provides
Method can calculate the downlink throughput capacity of 5G cell, solve the problems, such as how to calculate the downlink throughput capacity of 5G cell.
Embodiment two
The embodiment of the present invention provides a kind of computing device 10 of downlink throughput capacity, includes: as shown in figure 14
Acquiring unit 101, for obtaining at least one in the scene map of cell, CQI data and the coverage area of cell
The first downlink throughput capacity and SINR value of a measurement point;Wherein, CQI data include at least one CQI value.
Processing unit 102, the CQI number for being obtained according to the corresponding relationship and acquiring unit 101 of CQI value and SINR value
According to determining the probability that SINR value occurs in the section SINR;
Processing unit 102, the first downlink throughput capacity and acquiring unit 101 for being also used to be obtained according to acquiring unit 101 obtain
The SINR value taken determines second downlink throughput capacity in each section SINR.
Processing unit 102 is also used to the probability occurred according to the second downlink throughput capacity, SINR value in the section SINR and acquisition
The scene map that unit 101 obtains, determines the third downlink throughput capacity of cell.
Optionally, acquiring unit 101, specifically for obtaining the antenna of cell and the circulation way of measurement point;Wherein, it propagates
Mode includes NLOS or LOS.
Processing unit 102 determines the first iterated integral of CQI value specifically for the CQI value obtained according to acquiring unit 101
Cloth function.
Processing unit 102 is specifically used for determining that the second of SINR value is tired according to corresponding relationship and the first cumulative distribution function
Product distribution function.
Processing unit 102, specifically for according to the second cumulative distribution function and acquiring unit 101 acquisition circulation way,
Determine the probability that SINR value occurs in the section SINR under different circulation ways.
Optionally, processing unit 102 determine point of measurement point specifically for the SINR value obtained according to acquiring unit 101
Cloth mode;Wherein, distribution pattern refers to that measurement point is distributed with identical or different SINR.
Processing unit 102, specifically for the first downlink throughput capacity according to distribution pattern and the acquisition of acquiring unit 101, really
Determine the second downlink throughput capacity of different distributions mode.
Optionally, processing unit 102 are determined specifically for the 3D map or planning chart obtained according to acquiring unit 101
The scene classification of cell;Wherein, scene classification includes dense distribution scene or dispersed distribution scene, in dense distribution scene
SINR variable quantity is less than or equal to variable quantity threshold value, and SINR variable quantity is greater than variable quantity threshold value in dispersed distribution scene, and SINR becomes
Change amount by SINR value maximum value and minimum value determine.
Processing unit 102, specifically for according under the second downlink throughput capacity of different distributions mode, different circulation ways
The probability and scene classification that SINR value occurs in the section SINR, determine third downlink throughput capacity.
Wherein, all related contents for each step that above method embodiment is related to can quote corresponding function module
Function description, effect details are not described herein.
The computing device 10 of downlink throughput capacity includes: storage unit, processing unit using integrated module
And acquiring unit.Processing unit is used to carry out control management to the movement of the computing device of downlink throughput capacity, for example, processing is single
Member is for supporting the computing device of downlink throughput capacity to execute process S101, S102, S103 and S104 in Fig. 4;Acquiring unit is used
In the information exchange for the computing device and other equipment for supporting downlink throughput capacity.Storage unit, for storing downlink throughput capacity
The program code and data of computing device.
Wherein, using processing unit as processor, storage unit is memory, and acquiring unit is for communication interface.Wherein,
The computing device of downlink throughput capacity is referring to Fig.1 shown in 5, including communication interface 501, processor 502, memory 503 and bus
504, communication interface 501, processor 502 are connected by bus 504 with memory 503.
Processor 502 can be a general central processor (Central Processing Unit, CPU), micro process
Device, application-specific integrated circuit (Application-Specific Integrated Circuit, ASIC) or one or more
A integrated circuit executed for controlling application scheme program.
Memory 503 can be read-only memory (Read-Only Memory, ROM) or can store static information and instruction
Other kinds of static storage device, random access memory (Random Access Memory, RAM) or letter can be stored
The other kinds of dynamic memory of breath and instruction, is also possible to Electrically Erasable Programmable Read-Only Memory (Electrically
Erasable Programmable Read-only Memory, EEPROM), CD-ROM (Compact Disc Read-
Only Memory, CD-ROM) or other optical disc storages, optical disc storage (including compression optical disc, laser disc, optical disc, digital universal
Optical disc, Blu-ray Disc etc.), magnetic disk storage medium or other magnetic storage apparatus or can be used in carrying or store to have referring to
Enable or data structure form desired program code and can by any other medium of computer access, but not limited to this.
Memory, which can be, to be individually present, and is connected by bus with processor.Memory can also be integrated with processor.
Wherein, memory 503 is used to store the application code for executing application scheme, and is controlled by processor 502
System executes.Communication interface 501 is used to carry out information exchange, such as the information exchange with remote controler with other equipment.Processor 502
For executing the application code stored in memory 503, to realize method described in the embodiment of the present application.
In addition, a kind of calculating storage media (or medium) is also provided, including carrying out in above-described embodiment when executed
The instruction for the method operation that the computing device of downlink throughput capacity executes.In addition, also providing a kind of computer program product, including upper
State calculating storage media (or medium).
It should be understood that in various embodiments of the present invention, magnitude of the sequence numbers of the above procedures are not meant to execute suitable
Sequence it is successive, the execution of each process sequence should be determined by its function and internal logic, the implementation without coping with the embodiment of the present invention
Process constitutes any restriction.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method, it can be with
It realizes by another way.For example, apparatus embodiments described above are merely indicative, for example, the unit
It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components
It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or
The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of equipment or unit
It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (full name in English: read-only memory, English letter
Claim: ROM), random access memory (full name in English: random access memory, English abbreviation: RAM), magnetic disk or light
The various media that can store program code such as disk.
It is to be appreciated that the computing device of any downlink throughput capacity of above-mentioned offer is for executing reality presented above
Apply the corresponding method of example one, therefore, attainable beneficial effect can refer to foregoing embodiments one method and lower stationery
The beneficial effect of corresponding scheme in body embodiment, details are not described herein again.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of calculation method of downlink throughput capacity characterized by comprising
Under the scene map of acquisition cell, the first of at least one interior measurement point of coverage area of CQI data and the cell
Row handling capacity and SINR value;Wherein, the CQI data include at least one CQI value;
According to the corresponding relationship and the CQI data of CQI value and SINR value, determine what the SINR value occurred in the section SINR
Probability;
According to first downlink throughput capacity and the SINR value, second downlink throughput capacity in each section SINR is determined;
According to probability and the scene map that second downlink throughput capacity, the SINR value occur in the section SINR,
Determine the third downlink throughput capacity of the cell.
2. the calculation method of downlink throughput capacity according to claim 1, which is characterized in that according to CQI value and SINR value
Corresponding relationship and the CQI data, determine the probability that the SINR value occurs in the section SINR, comprising:
Obtain the antenna of the cell and the circulation way of the measurement point;Wherein, the circulation way include NLOS or
LOS;
According to the CQI value, the first cumulative distribution function of the CQI value is determined;
According to the corresponding relationship and first cumulative distribution function, the second cumulative distribution function of the SINR value is determined;
According to second cumulative distribution function and the circulation way, determine that the SINR value is described under different circulation ways
The probability that the section SINR occurs.
3. the calculation method of downlink throughput capacity according to claim 1, which is characterized in that handled up according to first downlink
Amount and the SINR value, determine second downlink throughput capacity in each section SINR, comprising:
According to the SINR value, the distribution pattern of the measurement point is determined;Wherein, the distribution pattern refers to the measurement point with phase
Same or difference SINR is distributed;
According to the distribution pattern and first downlink throughput capacity, determine that second downlink of different distributions mode is handled up
Amount.
4. according to the calculation method of downlink throughput capacity described in claim 2 and 3, which is characterized in that the scene map includes
3D map or planning chart;The probability that is occurred according to second downlink throughput capacity, the SINR value in the section SINR and
The scene map determines the third downlink throughput capacity of the cell, comprising:
According to the 3D map or the planning chart, the scene classification of the cell is determined;Wherein, the scene classification includes
Dense distribution scene or dispersed distribution scene, SINR variable quantity is less than or equal to variable quantity threshold in the dense distribution scene
It is worth, SINR variable quantity is greater than the variable quantity threshold value in the dispersed distribution scene, and the SINR variable quantity is by the SINR value
In maximum value and minimum value determine;
According to the SINR value under second downlink throughput capacity of different distributions mode, different circulation ways in the area SINR
Between the probability and the scene classification that occur, determine the third downlink throughput capacity.
5. a kind of computing device of downlink throughput capacity characterized by comprising
Acquiring unit, for obtaining at least one survey in the scene map of cell, CQI data and the coverage area of the cell
Measure the first downlink throughput capacity and SINR value of point;Wherein, the CQI data include at least one CQI value;
Processing unit, for the CQI number according to the corresponding relationship of CQI value and SINR value and acquiring unit acquisition
According to determining the probability that the SINR value occurs in the section SINR;
The processing unit, first downlink throughput capacity for being also used to be obtained according to the acquiring unit and the acquiring unit
The SINR value obtained, determines second downlink throughput capacity in each section SINR;
The processing unit is also used to be occurred according to second downlink throughput capacity, the SINR value in the section SINR
The scene map that probability and the acquiring unit obtain, determines the third downlink throughput capacity of the cell.
6. the computing device of downlink throughput capacity according to claim 5, which is characterized in that the acquiring unit is specific to use
In the circulation way for the antenna and the measurement point for obtaining the cell;Wherein, the circulation way includes NLOS or LOS;
The processing unit determines the first of the CQI value specifically for the CQI value obtained according to the acquiring unit
Cumulative distribution function;
The processing unit is specifically used for determining the SINR according to the corresponding relationship and first cumulative distribution function
Second cumulative distribution function of value;
The processing unit, specifically for the propagation according to second cumulative distribution function and acquiring unit acquisition
Mode determines the probability that the SINR value occurs in the section SINR under different circulation ways.
7. the computing device of downlink throughput capacity according to claim 5, which is characterized in that the processing unit, it is specific to use
In the SINR value obtained according to the acquiring unit, the distribution pattern of the measurement point is determined;Wherein, the distribution pattern
Refer to that the measurement point is distributed with identical or different SINR;
The processing unit, specifically for being handled up according to first downlink of the distribution pattern and acquiring unit acquisition
Amount, determines second downlink throughput capacity of different distributions mode.
8. according to the computing device of downlink throughput capacity described in claim 6 and 7, which is characterized in that the scene map includes
3D map or planning chart;The processing unit, specifically for the 3D map obtained according to the acquiring unit or institute
Planning chart is stated, determines the scene classification of the cell;Wherein, the scene classification includes dense distribution scene or dispersed distribution
Scene, SINR variable quantity is less than or equal to variable quantity threshold value, SINR in the dispersed distribution scene in the dense distribution scene
Variable quantity is greater than the variable quantity threshold value, the SINR variable quantity by the SINR value maximum value and minimum value determine;
The processing unit, specifically for according under second downlink throughput capacity of different distributions mode, different circulation ways
The probability and the scene classification that the SINR value occurs in the section SINR, determine the third downlink throughput capacity.
9. a kind of computer storage medium, which is characterized in that including instruction, when run on a computer, so that computer
Execute the calculation method such as the described in any item downlink throughput capacities of the claims 1-4.
10. a kind of computing device of downlink throughput capacity characterized by comprising communication interface, processor, memory, bus;
For storing computer executed instructions, processor is connect with memory by bus memory, when the calculating of downlink throughput capacity fills
When setting operation, processor executes the computer executed instructions of memory storage, so that the computing device of downlink throughput capacity executes such as
The calculation method of the described in any item downlink throughput capacities of the claims 1-4.
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