CN103987077A - Wireless-network simulating method and device - Google Patents
Wireless-network simulating method and device Download PDFInfo
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Abstract
The invention provides a wireless-network simulating method and device and belongs to the field of mobile communication. The wireless-network simulating method includes the following steps: gridding a three-dimension space and calculating the simulating signal strength of each grid; obtaining system parameters of a wireless network, wherein the system parameters include but are not limited to a cell technological parameter, cell LNPR data, cell RLHBP data and cell RLLBP data; and according to the simulating signal strength of each grid and the system parameters, calculating a main serving cell of a mobile terminal when at an idle state and/or an activated state. The wireless-network simulating method and device are capable of calculating a cell really covered by the mobile terminal under the idle state and/or an activated (communication) state.
Description
Technical field
The present invention relates to moving communicating field, refer to especially a kind of Wireless Network Simulation method and device.
Background technology
In prior art, in the time that to GSM, the network coverage is studied, main method is to simulate antenna field intensity by wireless emulation tool to cover, its basis is that wireless signal is decayed along with the increase of distance in space, substantially square being directly proportional of the distance of loss value and point-to-point transmission, if ground landforms difference in addition, such as ground landforms are the water surface, greenery patches or building etc., also can impact the decay of wireless signal, actual loss value and theory be there are differences.
Therefore current wireless emulation all can test to revise by actual signal the speed of wireless signal loss, thereby obtain under some specific environments, the loss value of wireless signal under certain distance, according to this loss value, just can know that signal source is under specified transmitting power, the distance that wireless signal can be propagated.Concrete implementation method comprises: choose suitable radio transmission model, by field test, wireless propagation model parameter is revised, utilize revised calculation of parameter to go out wireless signal intensity after loss under certain distance that signal source is sent.
Current mobile communications network adopts honeycomb system, and the distance of being separated by between each base station is very near, generally even nearer 500 meters of left and right in city, therefore in any point, all may receive the signal of numerous base stations.Mobile terminal can ceaselessly be measured the intensity of these signals, each maximum 32 frequencies, in the time not conversing, utilize the reselecting parameters that base station issues to decide that community of final selection resident, the signal that reports maximum 6 communities in the time of call with the speed of 480 milliseconds, decides mobile terminal whether will switch Wang Xin community by network side.There is following defect in existing gsm wireless emulation of coverage capability technology: traditional wireless coverage simulation result only has the physics coverage of website, be base station with certain power emission after, coverage before space attenuation can not be decoded to receiver, the signal strength signal intensity that finally can only know certain any each base station is how many, but which community mobile phone users selects on earth resident under idle and talking state, to be subject to a large amount of real network parameters, comprise gravity treatment, handoff parameters etc. are controlled, be not simple who the most by force with regard to resident who, therefore emulation result and actual difference is out very large, cause and only know that the signal of which community is the strongest herein, but user cannot know actual which community that takies.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of Wireless Network Simulation method and device, can calculate the community that mobile terminal really takies under Idle state, activation (call) state.
For solving the problems of the technologies described above, embodiments of the invention provide technical scheme as follows:
On the one hand, provide a kind of Wireless Network Simulation method, comprising:
By solid space gridding, calculate the emulated signal strength of each grid;
Obtain the system parameters of wireless network, described system parameters includes but not limited to: cellular technology parameter, community LNPR data, community RLHBP data and community RLLBP data;
Calculate the main Serving cell of mobile terminal when Idle state and/or the activated state according to the emulated signal strength of each grid and described system parameters.
Further, in such scheme, described by solid space gridding, the emulated signal strength of calculating each grid comprises:
Solid space is formatted according to the cube net of 5 meters * 5 meters * 5 meters.
Further, in such scheme, the emulated signal strength of the each grid of described calculating comprises:
Antenna transmission is reduced to ray propagates to the electromagnetic propagation in space, and direct projection propagation, reflections propagate, beyond-the-horizon communication and diffraction propagation that electromagnetic wave is produced through different landforms environment carry out respectively emulation;
Carry out vector superposed and use probabilistic method, obtaining the maximum likelihood in various propagation, cluster draws the propagation model that contains ray tracing information;
Utilize actual test data and Kernel-Based Methods to propagation model training, obtain the emulated signal strength of each grid.
Further, in such scheme, calculate the main Serving cell of mobile terminal when the Idle state according to the emulated signal strength of each grid and described system parameters and comprise:
Calculate C1 and the C2 value of each community by following formula:
Emulated signal strength-accmin-max (cchpwr-P, 0) that C1=mobile terminal present position obtains;
Be not equal at 31 o'clock at pt, C2=C1+CRO – TO*H (pt-t);
In the time of pt=31, C2=C1 – CRO;
Wherein, pt, TO and CRO are according to the system parameters of community RLBHP data acquisition, accmin is the minimum incoming level that network allows, cchpwr is the mobile terminal maximum transmission power that network allows, P is the actual maximum transmission power of mobile terminal, in the time of X>0, and function H (X)=0, in the time of X<=0, H (X)=1;
Determine that the maximum community of C2 value is the main Serving cell of mobile terminal in the time of Idle state.
Further, in such scheme, calculate the main Serving cell of mobile terminal when the activated state according to the emulated signal strength of each grid and described system parameters and comprise:
According to signal strength signal intensity, sorted in community, obtain basic label queue;
Basic label queue Zhong community is judged, select the community that enters layered cell structure HCS sequencing queue;
To HCS sequencing queue Zhong community, according to level band more low more preferential, arrange the main Serving cell using the community making number one as mobile terminal in the time of activated state with the more low more preferential order of band middle level layer.
Further, in such scheme, described in select the community that enters HCS sequencing queue and comprise:
Step a: whether the signal strength signal intensity that judges community is greater than default Hcsbandthr, if so, turns to step b; If not, turn to step g;
Step b: judge that whether community is signal Qiang community in community at the corresponding levels, if so, turns to step h; If not, turn to step c;
Step c; Whether the signal strength signal intensity that judges community is greater than default layerthr, if so, turns to steps d; If not, turn to step g;
Steps d: judge whether signal Qiang community in Wei Benceng community, community, if so, turn to step h; If not, turn to step e;
Step e: whether the number that judges HCS sequencing queue Zhong Benceng community is less than default Maxcellsinlayer, if so, turns to step f; If not, turn to step g;
Step f: whether the difference that judges the signal strength signal intensity of community and this layer signal Qiang community is less than default Maxdbdevinblayer, if so, turns to step h; If not, turn to step g;
Step g: community is retained in basic label queue;
Step h: HCS sequencing queue is put into in community.
The embodiment of the present invention also provides a kind of Wireless Network Simulation device, comprising:
Solid space gridding module, for by solid space gridding;
Simulation algorithm model, for calculating the emulated signal strength of each grid;
System parameters acquisition module, for obtaining the system parameters of wireless network, described system parameters includes but not limited to: cellular technology parameter, community LNPR data, community RLHBP data and community RLLBP data;
Processing module, for calculating the main Serving cell of mobile terminal when Idle state and/or the activated state according to the emulated signal strength of each grid and described system parameters.
Further, in such scheme, described simulation algorithm model is specifically for antenna transmission is reduced to ray propagates to the electromagnetic propagation in space, and direct projection propagation, reflections propagate, beyond-the-horizon communication and diffraction propagation that electromagnetic wave is produced through different landforms environment carry out respectively emulation; Carry out vector superposed and use probabilistic method, obtaining the maximum likelihood in various propagation, cluster draws the propagation model that contains ray tracing information; Utilize actual test data and Kernel-Based Methods to propagation model training, obtain the emulated signal strength of each grid.
Further, in such scheme, described processing module comprises:
Idle state calculating sub module, for calculate C1 and the C2 value of each community by following formula, and the maximum community of definite C2 value is the main Serving cell of mobile terminal in the time of Idle state:
The simulate signal Qiang Du – accmin – max (cchpwr – P, 0) that C1=mobile terminal present position obtains;
Be not equal at 31 o'clock at pt, C2=C1+CRO-TO*H (pt-t);
In the time of pt=31, C2=C1-CRO;
Wherein, pt, TO and CRO are according to the system parameters of community RLBHP data acquisition, accmin is the minimum incoming level that network allows, cchpwr is the mobile terminal maximum transmission power that network allows, P is the actual maximum transmission power of mobile terminal, in the time of X>0, and function H (X)=0, in the time of X<=0, H (X)=1.
Further, in such scheme, described processing module comprises:
Activated state calculating sub module, for being sorted in community according to signal strength signal intensity, obtain basic label queue, basic label queue Zhong community is judged, select the community that enters layered cell structure HCS sequencing queue, to HCS sequencing queue Zhong community, according to level band more low more preferential, arrange the main Serving cell using the community making number one as mobile terminal in the time of activated state with the more low more preferential order of band middle level layer.
Further, in such scheme, described activated state calculating sub module is specifically for carrying out following steps:
Step a: whether the signal strength signal intensity that judges community is greater than default Hcsbandthr, if so, turns to step b; If not, turn to step g;
Step b: judge that whether community is signal Qiang community in community at the corresponding levels, if so, turns to step h; If not, turn to step c;
Step c; Whether the signal strength signal intensity that judges community is greater than default layerthr, if so, turns to steps d; If not, turn to step g;
Steps d: judge whether signal Qiang community in Wei Benceng community, community, if so, turn to step h; If not, turn to step e;
Step e: whether the number that judges HCS sequencing queue Zhong Benceng community is less than default Maxcellsinlayer, if so, turns to step f; If not, turn to step g;
Step f: whether the difference that judges the signal strength signal intensity of community and this layer signal Qiang community is less than default Maxdbdevinblayer, if so, turns to step h; If not, turn to step g;
Step g: community is retained in basic label queue;
Step h: HCS sequencing queue is put into in community.
Embodiments of the invention have following beneficial effect:
In such scheme, first simulate base station signal signal strength signal intensity of any point spatially after spatial loss, be used for controlling afterwards the system parameters of mobile terminal behavior in conjunction with network, calculate mobile terminal and really take community under Idle state, activated state, can be actual present network condition.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of embodiment of the present invention Wireless Network Simulation method;
Fig. 2 is the structured flowchart of embodiment of the present invention Wireless Network Simulation device;
Fig. 3 is the schematic flow sheet that the embodiment of the present invention calculates the emulated signal strength of the each grid of solid space;
Fig. 4 is the schematic flow sheet that the embodiment of the present invention is carried out HCS sequence.
Embodiment
For technical problem, technical scheme and advantage that embodiments of the invention will be solved are clearer, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
Embodiments of the invention provide a kind of Wireless Network Simulation method and device, can calculate the community that mobile terminal really takies under Idle state, activation (call) state.
Fig. 1 is the schematic flow sheet of embodiment of the present invention Wireless Network Simulation method, and as shown in Figure 1, the present embodiment comprises:
Step 101: by solid space gridding, calculate the emulated signal strength of each grid;
Step 102: obtain the system parameters of wireless network, described system parameters includes but not limited to: cellular technology parameter, community LNPR data, community RLHBP data and community RLLBP data;
Step 103: calculate the main Serving cell of mobile terminal when Idle state and/or the activated state according to the emulated signal strength of each grid and described system parameters.
Further, in another embodiment of the present invention, comprise that on the basis of above-mentioned steps 101 ~ 103, step 101 comprises:
Solid space is formatted according to the cube net of 5 meters * 5 meters * 5 meters.
Further, in another embodiment of the present invention, comprise that on the basis of above-mentioned steps 101 ~ 103, step 101 comprises:
Antenna transmission is reduced to ray propagates to the electromagnetic propagation in space, and direct projection propagation, reflections propagate, beyond-the-horizon communication and diffraction propagation that electromagnetic wave is produced through different landforms environment carry out respectively emulation;
Carry out vector superposed and use probabilistic method, obtaining the maximum likelihood in various propagation, cluster draws the propagation model that contains ray tracing information;
Utilize actual test data and Kernel-Based Methods to propagation model training, obtain the emulated signal strength of each grid.
Further, in another embodiment of the present invention, comprise that on the basis of above-mentioned steps 101 ~ 103, step 103 comprises:
Calculate C1 and the C2 value of each community by following formula:
The simulate signal Qiang Du – accmin – max (cchpwr – P, 0) that C1=mobile terminal present position obtains;
Be not equal at 31 o'clock at pt, C2=C1+CRO – TO*H (pt-t);
In the time of pt=31, C2=C1 – CRO;
Wherein, pt, TO and CRO are according to the system parameters of community RLBHP data acquisition, accmin is the minimum incoming level that network allows, cchpwr is the mobile terminal maximum transmission power that network allows, P is the actual maximum transmission power of mobile terminal, in the time of X>0, and function H (X)=0, in the time of X<=0, H (X)=1;
Determine that the maximum community of C2 value is the main Serving cell of mobile terminal in the time of Idle state.
Further, in another embodiment of the present invention, comprise that on the basis of above-mentioned steps 101 ~ 103, step 103 comprises:
According to signal strength signal intensity, sorted in community, obtain basic label queue;
Basic label queue Zhong community is judged, select the community that enters layered cell structure HCS sequencing queue;
To HCS sequencing queue Zhong community, according to level band more low more preferential, arrange the main Serving cell using the community making number one as mobile terminal in the time of activated state with the more low more preferential order of band middle level layer.
Further, in such scheme, described in select the community that enters HCS sequencing queue and comprise:
Step a: whether the signal strength signal intensity that judges community is greater than default Hcsbandthr, if so, turns to step b; If not, turn to step g;
Step b: judge that whether community is signal Qiang community in community at the corresponding levels, if so, turns to step h; If not, turn to step c;
Step c; Whether the signal strength signal intensity that judges community is greater than default layerthr, if so, turns to steps d; If not, turn to step g;
Steps d: judge whether signal Qiang community in Wei Benceng community, community, if so, turn to step h; If not, turn to step e;
Step e: whether the number that judges HCS sequencing queue Zhong Benceng community is less than default Maxcellsinlayer, if so, turns to step f; If not, turn to step g;
Step f: whether the difference that judges the signal strength signal intensity of community and this layer signal Qiang community is less than default Maxdbdevinblayer, if so, turns to step h; If not, turn to step g;
Step g: community is retained in basic label queue;
Step h: HCS sequencing queue is put into in community.
First the embodiment of the present invention simulates base station signal signal strength signal intensity of any point spatially after spatial loss, be used for controlling afterwards the system parameters of mobile terminal behavior in conjunction with network, calculate mobile terminal and really take community under Idle state, activated state, can be actual present network condition.
Fig. 2 is the structured flowchart of embodiment of the present invention Wireless Network Simulation device, and as shown in Figure 2, the present embodiment comprises:
Solid space gridding module 10, for by solid space gridding;
Simulation algorithm model 20, for calculating the emulated signal strength of each grid;
System parameters acquisition module 30, for obtaining the system parameters of wireless network, system parameters includes but not limited to: cellular technology parameter, community LNPR data, community RLHBP data and community RLLBP data;
Processing module 40, for calculating the main Serving cell of mobile terminal when Idle state and/or the activated state according to the emulated signal strength of each grid and system parameters.
Below in conjunction with specific embodiment, Wireless Network Simulation device of the present invention is introduced further.First the embodiment of the present invention simulates base station signal signal strength signal intensity of any point spatially after spatial loss, and network is taken into account for the parameter of controlling mobile terminal behavior, calculate mobile terminal and really take community under Idle state and activation (call) state, and intuitively present with graphics mode by statistical analysis module etc.
Wherein, solid space gridding module 10 is specifically for formatting urban space according to the cube net of 5 meters * 5 meters * 5 meters, each grid mark geographical attribute, comprises building, road, water system, greenery patches, vacant lot etc., and to get cube central point be that result of calculation is demarcated space coordinates point.
System parameters acquisition module 30 gathers the system parameters of wireless network (such as GSM network), includes but not limited to cellular technology parameter (comprising base station height, azimuth, angle of declination, antenna model, gravity treatment underlying parameter etc.), community RLNPR data (being the handoff threshold between community), community RLHBP data (transmitting power of community etc.), community RLLBP data (the decision algorithm relevant parameter that network switches).
Simulation algorithm model 20 is for obtaining the emulated signal strength of each grid by simulation calculation, as shown in Figure 3, simulation algorithm model 20 is specifically for carrying out following steps:
The first step, is reduced to ray propagates by antenna transmission to the electromagnetic propagation in certain space, and electromagnetic wave is carried out respectively to emulation through the issuable direct projection propagation of different landforms environment, reflections propagate, beyond-the-horizon communication and diffraction propagation;
Second step, carries out vector superposed and uses probabilistic method, obtains the maximum likelihood in various propagation, and cluster draws the propagation model logical expression that contains ray tracing information;
The 3rd step, utilizes the actual test data of magnanimity and Kernel-Based Methods to model training.
Obtain the propagation model expression formula of each antenna at the space lattice of its impact through above-mentioned three steps, and calculate the emulated signal strength of the each grid of solid space.
Idle state calculating sub module 50 is according to the emulated signal strength of the each grid of solid space, in the time that mobile phone users is in this position, the reselecting parameters that mobile terminal can provide according to system judges who is that priority is the highest, the system parameters of utilizing system parameters acquisition module 30 to obtain, behavior that just can simulating mobile terminal, calculate it and can actually choose which in the numerous base station signals that receive as the main Serving cell of reality at Idle state, algorithm is as follows:
First calculate C1 and the C2 value of each community
C1=actual level-accmin-max (cchpwr-P, 0);
Wherein, pt, TO, CRO, accmin and cchpwr are according to the system parameters of community RLBHP data acquisition, the minimum incoming level that accmin representative allows, unit is dBm, accmin is the parameter that current base station is informed mobile phone users, a little less than signal that mobile phone users receives is than this value, just do not allow access.CRO represents the priority setting of certain base station in the time that mobile phone users is idle.Pt represents the priority setting to certain base station.Cchpwr represents the mobile terminal maximum transmission power that network allows, and is generally 33dBm or 30dBm.P is the actual maximum transmission power of mobile terminal, and GSM900 mobile terminal is 33dBm, and DCS1800 community is 30dBm.Therefore for
GSM900 community: C1=actual level-accmin-max (cchpwr-33,0);
DCS1800 community: C1=actual level-accmin-max (cchpwr-30,0);
Then calculate C2, be not equal at 31 o'clock at pt:
C2=C1+CRO-TO*H(pt-t);
Here in the time of X>0, function H (X)=0, in the time of X<=0, H (X)=1; Because t is timing, simplify and be calculated as here: C2=C1+CRO – TO;
In the time of pt=31, C2=C1 – CRO.
The maximum community of C2 value is exactly the main Serving cell under Idle state, and mobile terminal will reside in above and rise and exhale.
Activated state calculating sub module 60 is utilized the signal strength signal intensity of emulation each base station out, the system parameters that coupling system parameter acquisition module 30 is obtained, can analog computation go out mobile terminal can actual which community of choosing under activated state as main Serving cell.Activated state calculating sub module 60 specifically selects the main Serving cell of mobile terminal under activated state by following steps:
The first step: remove signal Tai Ruo community, can obtain the signal of n community in each grid, the signal simulation intensity of each community is Power
n, select Power in n community
n>=MSRXMIN
ncommunity, wherein, MSRXMIN
nfor default threshold value, because if the signal strength signal intensity of community too a little less than, can not become the main Serving cell of mobile terminal;
Second step: basic label, is divided into according to signal strength signal intensity sequence and dual-frequency network two steps that sort.Suppose that the community that mobile terminal tentatively takies is the main Serving cell of calculating according to Idle state, first carry out basic label taking signal strength signal intensity as foundation.
Calculate ranking value according to following formula, and sorting from big to small according to ranking value:
RANK?s=Power
s
RANK?n=Power
n-OFFSET?s,n-HYST?s,n
Wherein, RANK s is the ranking value of main Serving cell under Idle state, equals its signal strength signal intensity; The ranking value RANK n of other community need to revise, OFFSET is signal strength signal intensity deviant, HYST is signal strength signal intensity hysteresis, OFFSET s, n is a pair of right parameter, such as main Serving cell S has m adjacent area, it is not identical with the offset of each adjacent area, OFFSET s, n and HYST s, n can gather by system parameters acquisition module.
The 3rd step: HCS(layered cell structure) sequence, can obtain a basic label list by the first step and second step, then again sort according to dual-frequency network function.
For all communities in basic label list, it has two attributes, band(level) and layer(layer), which band community belongs to, which layer.Band and layer are less, and the priority of community is higher, and such as band1 is higher than band2, band2 is higher than band3, and layer is similar.Here a newly-built queue, can HCS sequencing queue, for each community in basic label queue, all checks, see and enter HCS sequencing queue.
Enter the condition of HCS sequencing queue:
(1) intensity power is greater than band Zhong Qiang community, place, Hcsbandthr Qie Shizhe community;
(2) intensity power is greater than Hcsbandthr, although band Zhong Qiang community, place, Bu Shizhe community, intensity is greater than the layerthr of this place, community layer.
Wherein, Hcsbandthr is BSC(base station controller) parameter, define level thresholding; Layerthr is cell parameter, has defined layer thresholding.Maxcellsinlayer represents that this layer has allowed several communities to participate in HCS sequence; Maxdbdevinblayer represents that the signal intensity difference of layer Qiang community also allows to participate in HCS sequence in several db Nei Ciqiang community therewith; All these parameters are all from system acquisition by system parameters acquisition module.
Particularly, as shown in Figure 4, activated state calculating sub module 60 is specifically for carrying out following steps:
Step a: whether the signal strength signal intensity that judges community is greater than default Hcsbandthr, if so, turns to step b; If not, turn to step g;
Step b: judge that whether community is signal Qiang community in community at the corresponding levels, if so, turns to step h; If not, turn to step c;
Step c; Whether the signal strength signal intensity that judges community is greater than default layerthr, if so, turns to steps d; If not, turn to step g;
Steps d: judge whether signal Qiang community in Wei Benceng community, community, if so, turn to step h; If not, turn to step e;
Step e: whether the number that judges HCS sequencing queue Zhong Benceng community is less than default Maxcellsinlayer, if so, turns to step f; If not, turn to step g;
Step f: whether the difference that judges the signal strength signal intensity of community and this layer signal Qiang community is less than default Maxdbdevinblayer, if so, turns to step h; If not, turn to step g;
Step g: community is retained in basic label queue;
Step h: HCS sequencing queue is put into in community.
Enter the community of HCS sequencing queue, more low more preferential according to band, arrange with the more low more preferential order of layer in band, before HCS sequencing queue comes the most afterwards, remaining other community is according to the constant back that is placed on of the order of basic label, obtain final Priority Queues, in final Priority Queues, sort first be exactly real main Serving cell, mobile terminal during in activated state network can order Qi Xianggai community to be switched.
Further, Wireless Network Simulation device also comprises statistical analysis module and solid space data visualization module.Statistical analysis module is for the main Serving cell under Idle state and activated state according to the mobile terminal that simulates, GSM coverage rate in the each antenna of statistical analysis or defined range, interference, telephone traffic etc., and by result of calculation with icon formal output.Solid space data visualization module, for emulated data ground physics and chemistry is presented, can obtain the actual coverage in community of idle and activated state.
Technical scheme of the present invention can calculate mobile terminal and really take community under Idle state, activated state, can be actual present network condition.Change by analyzing the different coverage in community under activated state, Idle state, the accuracy to parameter setting, traffic absorb the whether capacity quality aspect such as balanced and accomplish comprehensive analysis.In conjunction with actual prospecting, or simulation result and existing network base station physical parameter comparison, to there is wrong can revising, keep the accuracy of basic data.
Many functional parts described in this specification are all called as module, to emphasize more especially the independence of its implementation.
In the embodiment of the present invention, module can realize with software, to carried out by various types of processors.For instance, the executable code module of a mark can comprise one or more physics or the logical block of computer instruction, and for instance, it can be built as object, process or function.However, the executable code of institute's identification module is without being physically located in together, but can comprise and be stored in different different instructions physically, in the time combining in these command logics, and its composition module and realize the regulation object of this module.
In fact, executable code module can be individual instructions or many instructions, and even can be distributed on multiple different code segments, is distributed in the middle of distinct program, and crosses over multiple memory devices distributions.Similarly, operating data can be identified in module, and can realize and be organized in the data structure of any suitable type according to any suitable form.Described operating data can be used as individual data collection and is collected, or can be distributed on diverse location and (be included in different storage device), and can only be present on system or network as electronic signal at least in part.
In the time that module can utilize software to realize, consider the level of existing hardware technique, so module that can realize with software, in the situation that not considering cost, those skilled in the art can build corresponding hardware circuit and realize corresponding function, and described hardware circuit comprises conventional ultra-large integrated (VLSI) circuit or gate array and the existing semiconductor such as logic chip, transistor or other discrete element.Module can also be used programmable hardware device, realizations such as field programmable gate array, programmable logic array, programmable logic device.
In the each embodiment of the method for the present invention; the sequence number of described each step can not be used for limiting the sequencing of each step; for those of ordinary skill in the art, do not paying under the prerequisite of creative work, the priority of each step is changed also within protection scope of the present invention.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, do not departing under the prerequisite of principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (11)
1. a Wireless Network Simulation method, is characterized in that, comprising:
By solid space gridding, calculate the emulated signal strength of each grid;
Obtain the system parameters of wireless network, described system parameters includes but not limited to: cellular technology parameter, community LNPR data, community RLHBP data and community RLLBP data;
Calculate the main Serving cell of mobile terminal when Idle state and/or the activated state according to the emulated signal strength of each grid and described system parameters.
2. Wireless Network Simulation method according to claim 1, is characterized in that, described by solid space gridding, the emulated signal strength of calculating each grid comprises:
Solid space is formatted according to the cube net of 5 meters * 5 meters * 5 meters.
3. Wireless Network Simulation method according to claim 1, is characterized in that, the emulated signal strength of the each grid of described calculating comprises:
Antenna transmission is reduced to ray propagates to the electromagnetic propagation in space, and direct projection propagation, reflections propagate, beyond-the-horizon communication and diffraction propagation that electromagnetic wave is produced through different landforms environment carry out respectively emulation;
Carry out vector superposed and use probabilistic method, obtaining the maximum likelihood in various propagation, cluster draws the propagation model that contains ray tracing information;
Utilize actual test data and Kernel-Based Methods to propagation model training, obtain the emulated signal strength of each grid.
4. Wireless Network Simulation method according to claim 1, is characterized in that, calculates the main Serving cell of mobile terminal when the Idle state comprise according to the emulated signal strength of each grid and described system parameters:
Calculate C1 and the C2 value of each community by following formula:
Emulated signal strength-accmin-max (cchpwr-P, 0) that C1=mobile terminal present position obtains;
Be not equal at 31 o'clock at pt, C2=C1+CRO-TO*H (pt-t);
In the time of pt=31, C2=C1-CRO;
Wherein, pt, TO and CRO are according to the system parameters of community RLBHP data acquisition, accmin is the minimum incoming level that network allows, cchpwr is the mobile terminal maximum transmission power that network allows, P is the actual maximum transmission power of mobile terminal, in the time of X>0, and function H (X)=0, in the time of X<=0, H (X)=1;
Determine that the maximum community of C2 value is the main Serving cell of mobile terminal in the time of Idle state.
5. Wireless Network Simulation method according to claim 1, is characterized in that, calculates the main Serving cell of mobile terminal when the activated state comprise according to the emulated signal strength of each grid and described system parameters:
According to signal strength signal intensity, sorted in community, obtain basic label queue;
Basic label queue Zhong community is judged, select the community that enters layered cell structure HCS sequencing queue;
To HCS sequencing queue Zhong community, according to level band more low more preferential, arrange the main Serving cell using the community making number one as mobile terminal in the time of activated state with the more low more preferential order of band middle level layer.
6. Wireless Network Simulation method according to claim 5, is characterized in that, described in select the community that enters HCS sequencing queue and comprise:
Step a: whether the signal strength signal intensity that judges community is greater than default Hcsbandthr, if so, turns to step b; If not, turn to step g;
Step b: judge that whether community is signal Qiang community in community at the corresponding levels, if so, turns to step h; If not, turn to step c;
Step c; Whether the signal strength signal intensity that judges community is greater than default layerthr, if so, turns to steps d; If not, turn to step g;
Steps d: judge whether signal Qiang community in Wei Benceng community, community, if so, turn to step h; If not, turn to step e;
Step e: whether the number that judges HCS sequencing queue Zhong Benceng community is less than default Maxcellsinlayer, if so, turns to step f; If not, turn to step g;
Step f: whether the difference that judges the signal strength signal intensity of community and this layer signal Qiang community is less than default Maxdbdevinblayer, if so, turns to step h; If not, turn to step g;
Step g: community is retained in basic label queue;
Step h: HCS sequencing queue is put into in community.
7. a Wireless Network Simulation device, is characterized in that, comprising:
Solid space gridding module, for by solid space gridding;
Simulation algorithm model, for calculating the emulated signal strength of each grid;
System parameters acquisition module, for obtaining the system parameters of wireless network, described system parameters includes but not limited to: cellular technology parameter, community LNPR data, community RLHBP data and community RLLBP data;
Processing module, for calculating the main Serving cell of mobile terminal when Idle state and/or the activated state according to the emulated signal strength of each grid and described system parameters.
8. Wireless Network Simulation device according to claim 7, is characterized in that,
Described simulation algorithm model is specifically for antenna transmission is reduced to ray propagates to the electromagnetic propagation in space, and direct projection propagation, reflections propagate, beyond-the-horizon communication and diffraction propagation that electromagnetic wave is produced through different landforms environment carry out respectively emulation; Carry out vector superposed and use probabilistic method, obtaining the maximum likelihood in various propagation, cluster draws the propagation model that contains ray tracing information; Utilize actual test data and Kernel-Based Methods to propagation model training, obtain the emulated signal strength of each grid.
9. Wireless Network Simulation device according to claim 7, is characterized in that, described processing module comprises:
Idle state calculating sub module, for calculate C1 and the C2 value of each community by following formula, and the maximum community of definite C2 value is the main Serving cell of mobile terminal in the time of Idle state:
The simulate signal Qiang Du – accmin – max (cchpwr – P, 0) that C1=mobile terminal present position obtains;
Be not equal at 31 o'clock at pt, C2=C1+CRO-TO*H (pt-t);
In the time of pt=31, C2=C1-CRO;
Wherein, pt, TO and CRO are according to the system parameters of community RLBHP data acquisition, accmin is the minimum incoming level that network allows, cchpwr is the mobile terminal maximum transmission power that network allows, P is the actual maximum transmission power of mobile terminal, in the time of X>0, and function H (X)=0, in the time of X<=0, H (X)=1.
10. Wireless Network Simulation device according to claim 7, is characterized in that, described processing module comprises:
Activated state calculating sub module, for being sorted in community according to signal strength signal intensity, obtain basic label queue, basic label queue Zhong community is judged, select the community that enters layered cell structure HCS sequencing queue, to HCS sequencing queue Zhong community, according to level band more low more preferential, arrange the main Serving cell using the community making number one as mobile terminal in the time of activated state with the more low more preferential order of band middle level layer.
11. Wireless Network Simulation devices according to claim 10, is characterized in that, described activated state calculating sub module is specifically for carrying out following steps:
Step a: whether the signal strength signal intensity that judges community is greater than default Hcsbandthr, if so, turns to step b; If not, turn to step g;
Step b: judge that whether community is signal Qiang community in community at the corresponding levels, if so, turns to step h; If not, turn to step c;
Step c; Whether the signal strength signal intensity that judges community is greater than default layerthr, if so, turns to steps d; If not, turn to step g;
Steps d: judge whether signal Qiang community in Wei Benceng community, community, if so, turn to step h; If not, turn to step e;
Step e: whether the number that judges HCS sequencing queue Zhong Benceng community is less than default Maxcellsinlayer, if so, turns to step f; If not, turn to step g;
Step f: whether the difference that judges the signal strength signal intensity of community and this layer signal Qiang community is less than default Maxdbdevinblayer, if so, turns to step h; If not, turn to step g;
Step g: community is retained in basic label queue;
Step h: HCS sequencing queue is put into in community.
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