CN108551374A - A kind of autoplacement method of LTE indoor distribution system antenna - Google Patents

A kind of autoplacement method of LTE indoor distribution system antenna Download PDF

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CN108551374A
CN108551374A CN201810254789.1A CN201810254789A CN108551374A CN 108551374 A CN108551374 A CN 108551374A CN 201810254789 A CN201810254789 A CN 201810254789A CN 108551374 A CN108551374 A CN 108551374A
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antenna
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bit
dna
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CN108551374B (en
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李嘉
谢飞
徐晖
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HCL Technologies Shanghai 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
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools

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Abstract

The present invention provides a kind of autoplacement methods of LTE indoor distribution system antenna, which is characterized in that including:Step A:Parameter setting is carried out to LTE indoor distribution system;Step B:Rasterizing processing is carried out to floor plan, establishes alternative antenna set;Step C:Independent simulation calculation is carried out to each alternative antenna;Step D:Using cell division algorithm, optimal mother cell is found;Step E:Antenna arrangement is obtained according to by the calculated optimal mother cell of cell division algorithm.The present invention establishes in emulation of coverage capability result indoors using wireless signal propagation model as foundation, and accuracy is far above the estimation with artificial experience;Only need input relevant parameter that can be calculated;It calculates and meets the required minimum antenna amount of coverage rate up to standard and the highest antenna arrangement scheme of coverage rate, the antenna amount caused by artificial experience judges inaccuracy is avoided to over-evaluate;The present invention mitigates related personnel's workload, shortens working hours, saves human cost.

Description

A kind of autoplacement method of LTE indoor distribution system antenna
Technical field
The present invention relates to mobile communication fields, and in particular, to indoor to a kind of LTE (Long Term Evolution) The autoplacement method of compartment system antenna.
Background technology
With the fast development of mobile Internet, the distributed scytoblastema station of new indoor solves distributed architecture in conventional chamber Complicated, the problems such as construction cost is high, difficult in maintenance, the construction period is long, but in construction plan, it is main still by people's subjective judgement It is laid out, lacks unified standard and objective basis.
Traditional indoor distributed system Planning emphasis is the cabling for planning feeder line/cable, because its is of high cost, and is limited to build Building structure and layout, while being also contemplated that the various situations such as fire-fighting, cable.And for the placement of indoor ceiling aerial, because its Cost be it is low-down, typically " it is the more the better ".
New indoor compartment system does not use feeder line/cable, directly connects signal source by cable, in signal source Set antenna.But the cost of signal source is high much compared with traditional domestic aerial.So the planning of new indoor compartment system must Reasonable placement and the quantity control of antenna (signal source) must more be stressed.It therefore can be by the phase of computer or intelligent terminal Algorithm is closed, traditional artificial experience is replaced with algorithm, to plan quantity and the position of antenna or signal source.
Invention content
For the defects in the prior art, the object of the present invention is to provide a kind of the automatic of LTE indoor distribution system antenna Layout method, solve the problems, such as be how within a short period of time, using radio transmission model obtain simulation result on the basis of, Calculate rational LTE indoor distribution system antenna arrangement method so that under the premise of meeting the requirement of RSRP coverage rates, antenna Minimum number, RSRP coverage rate highests can be solved effectively with unreasonable layout caused by artificial experience possibility and cost waste.
The present invention is realized according to following technical scheme:
A kind of autoplacement method of LTE indoor distribution system antenna, which is characterized in that include the following steps:
Step A:Parameter setting is carried out to LTE indoor distribution system, wherein
RSRP threshold values, are denoted as Threshold, take -105dBm ∽ -95dBm,
RSRP coverage rates value up to standard, is denoted as Coverage, takes 90% ∽ 98%,
RSRP grid coverage sizes, are denoted as CubeStep, take 0.1m ∽ 0.5m,
Aerial position sizing grid, is denoted as GridStep, takes 0.5m ∽ 2m;
Step B:Rasterizing processing is carried out to floor plan, establishes alternative antenna set;
Step C:Independent simulation calculation is carried out to each alternative antenna;
Step D:Using cell division algorithm, optimal mother cell is found;
Step E:Antenna arrangement is obtained according to by the calculated optimal mother cell of cell division algorithm.
In above-mentioned technical proposal, the step B further includes following steps:
Step B01:Plane domain is divided into equal-sized close adjacent square net array, each grid it is big Small is CubeStep, and the columns of this grid array is denoted as M, and line number is denoted as N, altogether M*N square net;
Step B02:The bit arrays that a length is M*N are established according to the step B1 grids divided, BitR is denoted as, is used for RSRP emulation of coverage capability is stored as a result, BitR [M*y+x] indicates that the bit values of xth row, y rows, bit values indicate the grid for 1 RSRP values meet threshold requirement, and bit values indicate that the RSRP values of the grid are unsatisfactory for threshold requirement for 0;
Step B03:Plane domain is divided into equal-sized close adjacent square net array, each grid it is big Small is GridStep;
Step B04:Alternative antenna location sets are established, set SetA is denoted as, in all grid element centers that step B3 is divided Antenna is established, judges whether aerial position is legal according to floor plan, if aerial position is legal, which is added Enter set SetA, the antenna amount in SetA is denoted as C by the position that final set SetA will be likely to occur comprising all antennas;
Step B05:RSRP coverage rates required number of grid up to standard up to standard is calculated, the institute in statistics BitR is in need to be covered The number of grid of lid, is denoted as FullNum, calculates number of grid up to standard according to following formula, is denoted as LimitNum, wherein LimitNum=ceil (FullNum*Coverage), wherein ceil () are the function that rounds up.
In above-mentioned technical proposal, the step C further includes following steps:
Step C01:The antenna in set SetA is traversed, step C02 ∽ C04 are executed to each antenna, are executed C times altogether;
Step C02:For n-th of antenna in set SetA, the bit arrays that the exclusive length of the antenna is M*N are established, It is denoted as BitS [n], for storing the RSRP emulation of coverage capability in the presence of there was only the antenna as a result, BitS [n] [M*y+x] indicates xth The bit values of row, y rows, bit values indicate that the RSRP values of the grid meet threshold requirement for 1, and bit values indicate the grid for 0 RSRP values are unsatisfactory for threshold requirement;
Step C03:The RSRP coverings in the presence of the only antenna are calculated using indoor distribution wireless signal propagation model Simulation result;
Step C04:Each grid of RSRP emulation of coverage capability results in traversal step C03, for xth row, y rows Grid, if the RSRP values of the grid region are more than or equal to threshold T hreshold, by BitS [n] [M*y+x] assignment It is 1, if the RSRP values of the grid region are less than threshold T hreshold or the grid region and need not cover, BitS [n] [M*y+x] is then assigned a value of 0.
In above-mentioned technical proposal, the step D further includes following steps:
Step D01:The bit arrays that a length is C are established, Cell is denoted as, for storing all days in set SetA The combination of line, Cell [n] indicate that the bit values that n-th of antenna whether there is in set SetA, bit values indicate the antenna for 1 In the presence of bit values indicate that the antenna is not present for 0;This indicates that the bit arrays Cell of antenna combination is known as cell, which includes 1 and 0 sequence be known as the DNA of the cell;
Step D02:All bit values in Cell are set as 0, DNA completion subalgorithms are called to Cell, generate just godmother Cell;Cell is primary mother cell at this time, if DNA completion subalgorithms return the result to fail, can not generate just godmother Cell shows under current setting no matter how many antenna all can not make RSRP coverage rates up to standard, and algorithm terminates;
Step D03:Cell division is carried out to mother cell Cell, the DNA of mother cell is cut, obtains two containing mutual Then two daughter cells are carried out DNA completions, grow into two new mother cells by the daughter cell of the imperfect DNA mended respectively.
Step D04:The DNA of mother cell Cell is cut, traverse all Cell [n] value be 1 position n, respectively into The following two operations of row:1) value of p position therein is set as 0 by operation, the value of remaining position is constant, obtains one and contains The daughter cell of DNA after cutting, referred to as O-shaped daughter cell;2) value of p position therein is left 1 by operation, remaining position Value is disposed as 0, obtains the daughter cell for the DNA that another contains after cutting, referred to as I types daughter cell;
P is set as 1 first, when carrying out the step again, other possible cutting position combinations are found, when all After position grouping traversal based on p, p is increased by 1, works as p>3 or p>When C/2, step D10 is carried out;
Step D05:DNA completion subalgorithms are carried out to O-shaped daughter cell, obtain novel mother cell CellO.To I type daughter cells DNA completion subalgorithms are carried out, novel mother cell CellI is obtained;
Step D06:1 quantity, is denoted as NumP, counts in novel mother cell CellO 1 number in the former mother cell Cell of statistics Amount, is denoted as NumO, counts in novel mother cell CellI 1 quantity, be denoted as NumI, take smaller in NumO and NumI one, remembers For MinOI, it is compared with NumP;If MinOI<NumP then shows to have found more excellent mother cell, by mother cell Cell It is updated to the new mother cell, primary evolution is completed, executes step D03;If MinOI=NumP executes D06;If MinOI >NumP then executes D09;
Step D07:The corresponding multiple antennas bit figures of former mother cell Cell are generated, wherein by RSRP emulation of coverage capability result bit numbers Group is known as bit figures, and generation method is n-th of single antenna bit in the set SetA traversed corresponding to n of all Cell [n] values for 1 Scheme BitS [n], all qualified BitS [n] are done into step-by-step or operation, obtained multiple antennas bit seals are BitM, statistics 1 quantity, is denoted as CountM in BitM;
Step D08:The corresponding multiple antennas bit figures of novel mother cell CellO and CellI are generated respectively, and are counted in bit figures 1 quantity, is denoted as CountO and CountI respectively;
Step D09:Larger in CountO and CountI one is taken, MaxOI is denoted as, is compared with CountM;If MaxOI>CountM then shows to have found outstanding mother cell, and mother cell Cell is updated to the new mother cell, complete once into Change, executes step D03;If MaxOI<=CountM, then execute D09;
Step D10:Give up two novel mother cells, maintains former mother cell Cell constant, and attempt under mother cell Cell One DNA cutting mode executes step D04;
Step D11:More excellent mother cell can not be found in polynomial time, algorithm terminates, at this time mother cell Cell Including bit value informations be antenna distribution optimal location.
In above-mentioned technical proposal, the step E further includes following steps:
Step E1:According to the bit arrays of mother cell Cell, quantity and the position of antenna are restored, traverses all Cell [n] N-th of antenna in set SetA corresponding to n of the value for 1, antenna amount are denoted as R, n-th of antenna are calculated according to following formula Mesh column coordinate x [n], row coordinate y [n]:
X [n]=n%M, wherein % are complementation operation;
Y [n]=floor (n/M) wherein floor () are downward bracket function;
Then the practical abscissa rx [n] of n-th of antenna, ordinate ry [n] are calculated according to following formula:
Rx [n]=x [n] * GridStep+GridStep/2,
Ry [n]=y [n] * GridStep+GridStep/2;
Step E2:For the antenna of the above R known location, this is calculated using indoor distribution wireless signal propagation model RSRP emulation of coverage capability results in the presence of R antenna.
In above-mentioned technical proposal, RSRP emulation of coverage capability result bit arrays are known as bit and schemed by the DNA completions subalgorithm, packet Include following steps:
Step Z01:For given Cell, its corresponding multiple antennas bit figure is generated, it is 1 to traverse all Cell [n] value All qualified BitS [n] are done step-by-step or fortune by n-th of single antenna bit figure BitS [n] in set SetA corresponding to n It calculates, obtained multiple antennas bit seals are BitM, count in BitM 1 quantity, are denoted as CountM;
Step Z02:DNA next bit completions are carried out to Cell using greedy algorithm and traverse all Cell [n] values as 0 n institutes It is carried out step-by-step or operation with BitM one by one, is denoted as BitT by n-th of single antenna bit figure BitS [n] in corresponding set SetA [n] counts in BitT [n] 1 quantity, is denoted as Count [n], finding out makes Count [n] maximum n, is denoted as BestN;
Step Z03:Compare Count [BestN] and CountM, if Count [BestN]=CountM, stops DNA benefits Full subalgorithm returns the result and fails for DNA completions.If Count [BestN]>CountM thens follow the steps Z04;
Step Z04:The value of Cell [BestN] is updated to 1, the value of CountM is updated to Count [BestN];
Step Z05:Compare CountM and LimitNum, if CountM>=LimitNum then stops the calculation of DNA completion Method returns the result and succeeds for DNA completions, if CountM<LimitNum thens follow the steps Z02.
Compared with prior art, the present invention has following advantageous effect:
1) more accurate.The method of the present invention is built upon a kind of searching algorithm carried out on in-door covering simulation result, with nothing Line signal propagation model is foundation, and accuracy is far above the estimation with artificial experience.
2) more efficient.The present invention is full automatic antenna arrangement method, it is only necessary to which inputting some relevant parameters can carry out It calculates.After tested, on Portable intelligent terminal (such as iPad), the floor antenna arrangement scheme for calculating 5000 sides or so generally exists Within one minute.
3) more cost-effective.The method of the present invention, which can calculate, meets the required minimum antenna amount of coverage rate up to standard, It avoids the antenna amount caused by artificial experience judges inaccuracy to over-evaluate, saves construction cost;The method of the present invention can also The workload for mitigating related personnel, shortens working hours, saves human cost.
Specific implementation mode
With reference to specific embodiment, the present invention is described in detail.Following embodiment will be helpful to the technology of this field Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention Protection domain.
The present invention respectively defines following technical term:
Indoor distributed system:Indoor distributed system is for indoor user group, for improving mobile communication ring in building A kind of successful scheme in border;It is that the signal of mobile base station is uniformly distributed each angle indoors using domestic aerial compartment system It falls, to ensure that room area possesses ideal signal covering.
Distributed base station:Distributed base station is modern production of a new generation for completing the network coverage.Its feature is main It is to be connected further through optical fiber while detaching RF processing unit with conventional macro base station baseband processing unit.
Set covering problem:Definition:Given complete or collected works U and one gather comprising n and this n union of sets collection is complete The set S of collection.Set covering problem will find a minimum subset of S so that their union is equal to complete or collected works.
The optimization problem of set covering is given (U, S), asks a covering using minimum set.Optimization problem Set covering be NP difficult problems.
For set covering problem, there are mainly two types of processing methods both at home and abroad at present:One is using heuritic approach;Separately One is use exact algorithm or approximate data outside.
NP difficult problems:When all np problems can be in polynomial time Turing reduction to this problem, this problem quilt Referred to as NP is difficult.
So far, no one of such issues that, finds efficient algorithm.Tend to receive np complete problem and NP is difficult There is no efficient algorithm this guesses for problem, it is believed that such issues that large-scale example cannot be solved with exact algorithm, it is necessary to seek Such issues that effective approximate data.
Heuritic approach:One algorithm constructed based on intuitive or experience (is referred in acceptable spend and calculates time and sky Between) under provide a feasible solution of each example of combinatorial optimization problem to be solved, the departure degree of the feasible solution and optimal solution It cannot generally be expected.
At this stage, heuritic approach mainly has genetic algorithm, ant group algorithm, simulated annealing based on imitative nature body algorithm Algorithm, artificial neural network algorithm etc..
The autoplacement method of a kind of LTE indoor distribution system antenna of the present invention, which is characterized in that including following step Suddenly:
Step A:Parameter setting is carried out to LTE indoor distribution system antenna, wherein
RSRP threshold values, are denoted as Threshold, take -105dBm ∽ -95dBm,
RSRP coverage rates value up to standard, is denoted as Coverage, takes 90% ∽ 98%,
RSRP grid coverage sizes, are denoted as CubeStep, build and take 0.1m ∽ 0.5m,
Aerial position sizing grid, is denoted as GridStep, takes 0.5m ∽ 2m;
Step B:Rasterizing processing is carried out to floor plan;
Step C:Independent simulation calculation is carried out to each antenna;
Step D:Using cell division algorithm, antenna optimal location scheme is found;
Step E:Antenna arrangement is obtained according to by the calculated optimal mother cell of cell division algorithm.
In above-mentioned technical proposal, the step B further includes following steps:
Step B01:Plane domain is divided into equal-sized close adjacent square net array, each grid it is big Small is CubeStep, and the columns of this grid array is denoted as M, and line number is denoted as N, altogether M*N square net;
Step B02:The bit arrays that a length is M*N are established according to the step B1 grids divided, BitR is denoted as, is used for RSRP emulation of coverage capability is stored as a result, BitR [M*y+x] indicates that the bit values of xth row, y rows, bit values indicate the grid for 1 RSRP values meet threshold requirement, and bit values indicate that the RSRP values of the grid are unsatisfactory for threshold requirement for 0;
Step B03:Plane domain is divided into equal-sized close adjacent square net array, each grid it is big Small is GridStep;
Step B04:Alternative antenna location sets are established, set SetA is denoted as, in all grid element centers that step B3 is divided Antenna is established, judges whether aerial position is legal according to floor plan, if aerial position is legal, which is added Enter set SetA, the antenna amount in SetA is denoted as C by the position that final set SetA will be likely to occur comprising all antennas;
Step B05:RSRP coverage rates required number of grid up to standard up to standard is calculated, the institute in statistics BitR is in need to be covered The number of grid of lid, is denoted as FullNum, calculates number of grid up to standard according to following formula, is denoted as LimitNum, wherein LimitNum=ceil (FullNum*Coverage), wherein ceil () are the function that rounds up.
In above-mentioned technical proposal, the step C further includes following steps:
Step C01:The antenna in set SetA is traversed, step C02 ∽ C04 are executed to each antenna, are executed C times altogether;
Step C02:For n-th of antenna in set SetA, the bit arrays that the exclusive length of the antenna is M*N are established, It is denoted as BitS [n], for storing the RSRP emulation of coverage capability in the presence of there was only the antenna as a result, BitS [n] [M*y+x] indicates xth The bit values of row, y rows, bit values indicate that the RSRP values of the grid meet threshold requirement for 1, and bit values indicate the grid for 0 RSRP values are unsatisfactory for threshold requirement;
Step C03:The RSRP coverings in the presence of the only antenna are calculated using indoor distribution wireless signal propagation model Simulation result;
Step C04:Each grid of RSRP emulation of coverage capability results in traversal step C03, for xth row, y rows Grid, if the RSRP values of the grid region are more than or equal to threshold T hreshold, by BitS [n] [M*y+x] assignment It is 1, if the RSRP values of the grid region are less than threshold T hreshold or the grid region and need not cover, BitS [n] [M*y+x] is then assigned a value of 0.
In above-mentioned technical proposal, the step D further includes following steps:
Step D01:The bit arrays that a length is C are established, Cell is denoted as, for storing all days in set SetA The combination of line, Cell [n] indicate that the bit values that n-th of antenna whether there is in set SetA, bit values indicate the antenna for 1 In the presence of bit values indicate that the antenna is not present for 0;This indicates that the bit arrays Cell of antenna combination is known as cell, which includes 1 and 0 sequence be known as the DNA of the cell;
Step D02:All bit values in Cell are set as 0, DNA completion subalgorithms are called to Cell, generate just godmother Cell;Cell is primary mother cell at this time, if DNA completion subalgorithms return the result to fail, can not generate just godmother Cell shows under current setting no matter how many antenna all can not make RSRP coverage rates up to standard, and algorithm terminates;
Step D03:Cell division is carried out to mother cell Cell, the DNA of mother cell is cut, obtains two containing mutual Then two daughter cells are carried out DNA completions, grow into two new mother cells by the daughter cell of the imperfect DNA mended respectively.
Step D04:The DNA of mother cell Cell is cut, traverse all Cell [n] value be 1 position n, respectively into The following two operations of row:1) value of p position therein is set as 0 by operation, the value of remaining position is constant, obtains one and contains The daughter cell of DNA after cutting, referred to as O-shaped daughter cell;2) value of p position therein is left 1 by operation, remaining position Value is disposed as 0, obtains the daughter cell for the DNA that another contains after cutting, referred to as I types daughter cell;
P is set as 1 first, when carrying out the step again, other possible cutting position combinations are found, when all After position grouping traversal based on p, p is increased by 1, works as p>3 or p>When C/2, step D10 is carried out;
Step D05:DNA completion subalgorithms are carried out to O-shaped daughter cell, obtain novel mother cell CellO.To I type daughter cells DNA completion subalgorithms are carried out, novel mother cell CellI is obtained;
Step D06:1 quantity, is denoted as NumP, counts in novel mother cell CellO 1 number in the former mother cell Cell of statistics Amount, is denoted as NumO, counts in novel mother cell CellI 1 quantity, be denoted as NumI, take smaller in NumO and NumI one, remembers For MinOI, it is compared with NumP;If MinOI<NumP then shows to have found more excellent mother cell, by mother cell Cell It is updated to the new mother cell, primary evolution is completed, executes step D03;If MinOI=NumP executes D06;If MinOI >NumP then executes D09;
Step D07:The corresponding multiple antennas bit figures of former mother cell Cell are generated, wherein by RSRP emulation of coverage capability result bit numbers Group is known as bit figures, and generation method is n-th of single antenna bit in the set SetA traversed corresponding to n of all Cell [n] values for 1 Scheme BitS [n], all qualified BitS [n] are done into step-by-step or operation, obtained multiple antennas bit seals are BitM, statistics 1 quantity, is denoted as CountM in BitM;
Step D08:The corresponding multiple antennas bit figures of novel mother cell CellO and CellI are generated respectively, and are counted in bit figures 1 quantity, is denoted as CountO and CountI respectively;
Step D09:Larger in CountO and CountI one is taken, MaxOI is denoted as, is compared with CountM;If MaxOI>CountM then shows to have found outstanding mother cell, and mother cell Cell is updated to the new mother cell, complete once into Change, executes step D03;If MaxOI<=CountM, then execute D09;
Step D10:Give up two novel mother cells, maintains former mother cell Cell constant, and attempt under mother cell Cell One DNA cutting mode executes step D04;
Step D11:More excellent mother cell can not be found in polynomial time, algorithm terminates, at this time mother cell Cell Including bit value informations be antenna distribution optimal location.
In above-mentioned technical proposal, the step E further includes following steps:
Step E1:According to the bit arrays of mother cell Cell, quantity and the position of antenna are restored, traverses all Cell [n] N-th of antenna in set SetA corresponding to n of the value for 1, antenna amount are denoted as R, n-th of antenna are calculated according to following formula Mesh column coordinate x [n], row coordinate y [n]:
X [n]=n%M, wherein % are complementation operation;
Y [n]=floor (n/M) wherein floor () are downward bracket function;
Then the practical abscissa rx [n] of n-th of antenna, ordinate ry [n] are calculated according to following formula:
Rx [n]=x [n] * GridStep+GridStep/2,
Ry [n]=y [n] * GridStep+GridStep/2;
Step E2:For the antenna of the above R known location, this is calculated using indoor distribution wireless signal propagation model RSRP emulation of coverage capability results in the presence of R antenna.
In above-mentioned technical proposal, RSRP emulation of coverage capability result bit arrays are known as bit and schemed by the DNA completions subalgorithm, packet Include following steps:
Step Z01:For given Cell, its corresponding multiple antennas bit figure is generated, it is 1 to traverse all Cell [n] value All qualified BitS [n] are done step-by-step or fortune by n-th of single antenna bit figure BitS [n] in set SetA corresponding to n It calculates, obtained multiple antennas bit seals are BitM, count in BitM 1 quantity, are denoted as CountM;
Step Z02:DNA next bit completions are carried out to Cell using greedy algorithm and traverse all Cell [n] values as 0 n institutes It is carried out step-by-step or operation with BitM one by one, is denoted as BitT by n-th of single antenna bit figure BitS [n] in corresponding set SetA [n] counts in BitT [n] 1 quantity, is denoted as Count [n], finding out makes Count [n] maximum n, is denoted as BestN;
Step Z03:Compare Count [BestN] and CountM, if Count [BestN]=CountM, stops DNA benefits Full subalgorithm returns the result and fails for DNA completions.If Count [BestN]>CountM thens follow the steps Z04;
Step Z04:The value of Cell [BestN] is updated to 1, the value of CountM is updated to Count [BestN];
Step Z05:Compare CountM and LimitNum, if CountM>=LimitNum then stops the calculation of DNA completion Method returns the result and succeeds for DNA completions, if CountM<LimitNum thens follow the steps Z02.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited in above-mentioned Particular implementation, those skilled in the art can make a variety of changes or change within the scope of the claims, this not shadow Ring the substantive content of the present invention.In the absence of conflict, the feature in embodiments herein and embodiment can arbitrary phase Mutually combination.

Claims (6)

1. a kind of autoplacement method of LTE indoor distribution system antenna, which is characterized in that include the following steps:
Step A:Parameter setting is carried out to LTE indoor distribution system, wherein
RSRP threshold values, are denoted as Threshold, take -105dBm ∽ -95dBm,
RSRP coverage rates value up to standard, is denoted as Coverage, takes 90% ∽ 98%,
RSRP grid coverage sizes, are denoted as CubeStep, take 0.1m ∽ 0.5m,
Aerial position sizing grid, is denoted as GridStep, takes 0.5m ∽ 2m;
Step B:Rasterizing processing is carried out to floor plan, establishes alternative antenna set;
Step C:Independent simulation calculation is carried out to each alternative antenna;
Step D:Using cell division algorithm, optimal mother cell is found;
Step E:Antenna arrangement is obtained according to by the calculated optimal mother cell of cell division algorithm.
2. a kind of autoplacement method of LTE indoor distribution system antenna according to claim 1, which is characterized in that institute It further includes following steps to state step B:
Step B01:Plane domain is divided into equal-sized close adjacent square net array, the size of each grid is The columns of CubeStep, this grid array are denoted as M, and line number is denoted as N, altogether M*N square net;
Step B02:The bit arrays that a length is M*N are established according to the step B1 grids divided, BitR are denoted as, for storing RSRP emulation of coverage capability is as a result, BitR [M*y+x] indicates that the bit values of xth row, y rows, bit values are the 1 RSRP values for indicating the grid Meet threshold requirement, bit values indicate that the RSRP values of the grid are unsatisfactory for threshold requirement for 0;
Step B03:Plane domain is divided into equal-sized close adjacent square net array, the size of each grid is GridStep;
Step B04:Alternative antenna location sets are established, set SetA is denoted as, are established in all grid element centers that step B3 is divided Antenna judges whether aerial position is legal according to floor plan, if aerial position is legal, which is added and is collected SetA is closed, the antenna amount in SetA is denoted as C by the position that final set SetA will be likely to occur comprising all antennas;
Step B05:Calculate RSRP coverage rates required number of grids up to standard up to standard, count in BitR covering in need Number of grid is denoted as FullNum, calculates number of grid up to standard according to following formula, is denoted as LimitNum, wherein LimitNum =ceil (FullNum*Coverage), wherein ceil () are the function that rounds up.
3. a kind of autoplacement method of LTE indoor distribution system antenna according to claim 1, which is characterized in that institute It further includes following steps to state step C:
Step C01:The antenna in set SetA is traversed, step C02 ∽ C04 are executed to each antenna, are executed C times altogether;
Step C02:For n-th of antenna in set SetA, the bit arrays that the exclusive length of the antenna is M*N are established, are denoted as BitS [n], for store RSRP emulation of coverage capability only in the presence of the antenna as a result, BitS [n] [M*y+x] indicate xth arrange, the The bit values of y rows, bit values indicate that the RSRP values of the grid meet threshold requirement for 1, and bit values are the 0 RSRP values for indicating the grid It is unsatisfactory for threshold requirement;
Step C03:The RSRP emulation of coverage capability in the presence of the only antenna is calculated using indoor distribution wireless signal propagation model As a result;
Step C04:Each grid of RSRP emulation of coverage capability results in traversal step C03, for the net of xth row, y rows BitS [n] [M*y+x] is assigned a value of by lattice if the RSRP values of the grid region are more than or equal to threshold T hreshold 1, if the RSRP values of the grid region are less than threshold T hreshold or the grid region and need not cover, BitS [n] [M*y+x] is assigned a value of 0.
4. a kind of autoplacement method of LTE indoor distribution system antenna according to claim 1, which is characterized in that institute It further includes following steps to state step D:
Step D01:The bit arrays that a length is C are established, Cell is denoted as, for storing all antennas in set SetA Combination, Cell [n] indicate that the bit values that n-th of antenna whether there is in set SetA, bit values indicate that the antenna is deposited for 1 It is that the 0 expression antenna is not present in, bit values;This indicate antenna combination bit arrays Cell be known as cell, the array include 1 It is known as the DNA of the cell with 0 sequence;
Step D02:All bit values in Cell are set as 0, DNA completion subalgorithms are called to Cell, it is thin to generate just godmother Born of the same parents;Cell is primary mother cell at this time, if DNA completion subalgorithms return the result to fail, it is thin can not to generate just godmother Born of the same parents show under current setting no matter how many antenna all can not make RSRP coverage rates up to standard, and algorithm terminates;
Step D03:Cell division is carried out to mother cell Cell, the DNA of mother cell is cut, obtains two containing complementation Then the daughter cell of imperfect DNA carries out DNA completions respectively to two daughter cells, grow into two new mother cells.
Step D04:The DNA of mother cell Cell is cut, traverse all Cell [n] value be 1 position n, carry out respectively with Lower two kinds of operations:1) value of p position therein is set as 0 by operation, the value of remaining position is constant, obtains one containing cutting The daughter cell of DNA afterwards, referred to as O-shaped daughter cell;2) value of p position therein is left 1 by operation, the value of remaining position is equal It is set as 0, obtains the daughter cell for the DNA that another contains after cutting, referred to as I types daughter cell;
P is set as 1 first, when carrying out the step again, finds other possible cutting positions combinations, when it is all based on After the position grouping traversal of p, p is increased by 1, works as p>3 or p>When C/2, step D10 is carried out;
Step D05:DNA completion subalgorithms are carried out to O-shaped daughter cell, obtain novel mother cell CellO.I type daughter cells are carried out DNA completion subalgorithms obtain novel mother cell CellI;
Step D06:1 quantity, is denoted as NumP, counts in novel mother cell CellO 1 quantity in the former mother cell Cell of statistics, It is denoted as NumO, in novel mother cell CellI 1 quantity is counted, is denoted as NumI, smaller in NumO and NumI one is taken, is denoted as MinOI is compared with NumP;If MinOI<NumP then shows to have found more excellent mother cell, more by mother cell Cell It is newly the new mother cell, completes primary evolution, execute step D03;If MinOI=NumP executes D06;If MinOI> NumP then executes D09;
Step D07:The corresponding multiple antennas bit figures of former mother cell Cell are generated, wherein RSRP emulation of coverage capability result bit arrays are claimed Scheme for bit, generation method is n-th of single antenna bit figure in the set SetA traversed corresponding to n of all Cell [n] values for 1 All qualified BitS [n] are done step-by-step or operation by BitS [n], and obtained multiple antennas bit seals are BitM, statistics 1 quantity, is denoted as CountM in BitM;
Step D08:The corresponding multiple antennas bit figures of novel mother cell CellO and CellI are generated respectively, and are counted 1 in bit figures Quantity is denoted as CountO and CountI respectively;
Step D09:Larger in CountO and CountI one is taken, MaxOI is denoted as, is compared with CountM;If MaxOI >CountM then shows to have found outstanding mother cell, mother cell Cell is updated to the new mother cell, primary evolution is completed, holds Row step D03;If MaxOI<=CountM, then execute D09;
Step D10:Give up two novel mother cells, maintains former mother cell Cell constant, and attempt the next of mother cell Cell DNA cutting modes execute step D04;
Step D11:More excellent mother cell can not be found in polynomial time, algorithm terminates, at this time mother cell Cell packets The bit value informations contained are the optimal location of antenna distribution.
5. a kind of autoplacement method of LTE indoor distribution system antenna according to claim 1, which is characterized in that institute It further includes following steps to state step E:
Step E1:According to the bit arrays of mother cell Cell, quantity and the position of antenna are restored, traversing all Cell [n] value is N-th of antenna in set SetA corresponding to 1 n, antenna amount are denoted as R, and the net of n-th of antenna is calculated according to following formula Lattice row coordinate x [n], row coordinate y [n]:
X [n]=n%M, wherein % are complementation operation;
Y [n]=floor (n/M) wherein floor () are downward bracket function;
Then the practical abscissa rx [n] of n-th of antenna, ordinate ry [n] are calculated according to following formula:
Rx [n]=x [n] * GridStep+GridStep/2,
Ry [n]=y [n] * GridStep+GridStep/2;
Step E2:For the antenna of the above R known location, this R are calculated using indoor distribution wireless signal propagation model RSRP emulation of coverage capability results in the presence of antenna.
6. a kind of autoplacement method of LTE indoor distribution system antenna according to claim 4, which is characterized in that institute It states DNA completions subalgorithm and RSRP emulation of coverage capability result bit arrays is known as bit figures, include the following steps:
Step Z01:For given Cell, its corresponding multiple antennas bit figure is generated, traverses all Cell [n] values as 1 n institutes All qualified BitS [n] are done step-by-step or operation by n-th of single antenna bit figure BitS [n] in corresponding set SetA, Obtained multiple antennas bit seals are BitM, count in BitM 1 quantity, are denoted as CountM;
Step Z02:DNA next bit completions are carried out using greedy algorithm to Cell to traverse corresponding to the n that all Cell [n] values are 0 Set SetA in n-th of single antenna bit figure BitS [n], it is subjected to step-by-step or operation with BitM one by one, is denoted as BitT [n], The quantity for counting in BitT [n] 1, is denoted as Count [n], finding out makes Count [n] maximum n, is denoted as BestN;
Step Z03:Compare Count [BestN] and CountM, if Count [BestN]=CountM, stops DNA completion Algorithm returns the result and fails for DNA completions.If Count [BestN]>CountM thens follow the steps Z04;
Step Z04:The value of Cell [BestN] is updated to 1, the value of CountM is updated to Count [BestN];
Step Z05:Compare CountM and LimitNum, if CountM>=LimitNum then stops DNA completion subalgorithms, returns Result is returned for DNA completions success, if CountM<LimitNum thens follow the steps Z02.
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