CN101483877A - Field intensity prediction engine for intelligent multi-network indoor radio signal - Google Patents
Field intensity prediction engine for intelligent multi-network indoor radio signal Download PDFInfo
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- CN101483877A CN101483877A CNA2008100522006A CN200810052200A CN101483877A CN 101483877 A CN101483877 A CN 101483877A CN A2008100522006 A CNA2008100522006 A CN A2008100522006A CN 200810052200 A CN200810052200 A CN 200810052200A CN 101483877 A CN101483877 A CN 101483877A
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Abstract
The invention relates to an intelligent multi-network indoor radio signal field strength prediction engine, which adopts a computer and software program procedure: the parameters of equipments being used are set by users, such as a system base station, a receiving antenna, a cable, an amplifier, a power-divider, a transmitting antenna, and an indoor building wall model; the software simulates the transmission of electromagnetic waves according to the parameters and gives the distribution of indoor field strength so that the users are given an intuitive network planning situation for carrying out network planning design; an intelligent multi-network indoor planning system belongs to a deterministic model and follows the physical theory of the transmission of the electromagnetic waves, therefore, as a mathematic analysis method, the system can accurately give the field strength information of an area being predicted and can also support multiple networks, such as GSM, WCDMA, TD-SCDMA, and the like. The prediction engine has real and intuitive prediction effect drawing, and flexible and convenient use.
Description
Technical field
The invention belongs to communication network indoor radio signal field strength measurement, particularly a kind of intelligent multi-network indoor radio signal field intensity prediction engine.
Background technology
Along with the development of mobile communication business, people are transmitting a large amount of voice-and-datas such as places such as commercial building, supermarket or conference halls, so the indoor communications quality receives increasing concern.Though it is indoor channel has certain similitude with outdoor channel, has the characteristics of self, very complicated.Though for example the path loss model that changes by the negative exponent of distance is suitable for outdoor channel, indoor channel is not always set up.The research of indoor channel since the eighties because indoor channel is very complicated, type is various, the model of some reports that proposed does not possess generality, and performance index are imperfect, the test of being done is also extensive inadequately.Come analytical performance in fact impossible with a Mathematical Modeling based on the reality hypothesis.And use the theoretical formula of a simplification, and for example distribute and describe path arrival times with the Poisson of standard, often too oversimplify.Therefore, the research in indoor propagation is significant to radio wave.The emphasis of the domestic network planning so far also is placed on outdoor, and only several Predicting Techniques also are primarily aimed at the 2G network.Indoor planning system does not also have ripe product because its difficulty is bigger.It is empirical model that traditional indoor planning system software uses more, though and empirical model is easily understood, arithmetic speed is very fast, and accurate setpoint information can not be provided, and can not reach user's purpose that planning is predicted to internal home network fully.
Along with increase at full speed and the skyscraper of mobile subscriber in the city are more and more, more and more intensive, traffic density and covering require also constantly to rise.These modern building scales are big, quality good, are skeleton with armored concrete how, add fully closed exterior decoration, and are severe especially to the shielding and the decay of radio signal, and speech quality is seriously descended, and are difficult to communicate by letter normally.For example, under environment such as the low layer of heavy construction, market place builet below the ground, underground parking, base station received signal is very faint, causes mobile phone normally to use, and has formed blind area and shadow region that signal covers; At the intermediate floor of heavy construction, because mobile phone can receive the signal of a plurality of different base stations on every side, base station signal is overlapped, produce ping-pong, mobile phone frequently switches, even call drop, has had a strong impact on the normal use of mobile phone; At the high layer segment of heavy construction, owing to be subjected to the limitation in height of antenna for base station, can't normally cover, also be the blind area of mobile communication.The middle and high layer that does not particularly have the skyscraper of complete closed at some, signal in the inlet chamber is very mixed and disorderly, near several signal of base station existing, signal of base station is also arranged nearby by in the mode inlet chambers such as direct projection, refraction, reflection, diffraction, cause indoor received signal dynamic very unstable, disturb very serious with frequency, adjacent frequency.Mobile phone uses under this environment, when idle condition the sub-district gravity treatment frequent, in communication process, frequently switch, speech quality is subjected to very big influence, is easy to generate the call drop phenomenon.In addition, in some building, though mobile phone can normal talking, user density is too big, and channel is very crowded, the mobile phone difficulty of reaching the standard grade.Therefore, how to resolve the covering problem of indoor signal, satisfy users' demand, improve network quality, become more and more important, also become an emphasis of network optimization work.
Summary of the invention
Technical problem to be solved by this invention is: a kind of intelligent multi-network indoor radio signal field intensity prediction engine is provided.
Technical scheme of the present invention is:
A kind of intelligent multi-network indoor radio signal field intensity prediction engine is characterized in that: adopt computer; With the software program flow process:
Be set by the user and use device parameter such as system base-station, reception antenna, cable, amplifier, power splitter, transmitting antenna, interior architecture body of wall model; Software provides indoor field strength distribution situation according to these parameter simulation electromagnetic wave propagations, provides network planning situation intuitively of user, so that carry out network planning design;
Program circuit:
7) program begins, the parameter input; The parameter of importing has the scope of prediction, the horizontal ordinate maximum in prediction area, wall point array, antenna point array;
8) initialization mainly is the dielectric constant according to wall point array initialization body of wall, the magnetic conductance constant; And zero initialization field intensity array, even cicle_n=1,2;
9) begin circulation, giving the cicle_n assignment earlier is 3, and every then circulation primary judges from adding 1 whether cicle_n arrives maximum cicle_N, is then to jump to step 6, otherwise order is carried out;
10) upgrade and storage E and H value with the preferential calculus of finite differences iterative program of FDTD;
11) cicle_n adds 1, returns step 3;
12) EP (end of program).
Effect of the present invention is:
The indoor planning system of intelligent multi-network belongs to deterministic models, defers to the physical theory of electromagnetic wave propagation, as a kind of analytical method of mathematics, provides the field intensity information of estimation range very accurately.To multiple network such as GSM, WCDMA, TD-SCDMA etc. are had a support.Prediction effect figure is very true directly perceived, flexible and convenient to use.
Description of drawings
Fig. 1 is the hardware configuration schematic diagram of intelligent multi-network indoor radio signal field intensity prediction engine
Fig. 2 is the software block diagram of intelligent multi-network indoor radio signal field intensity prediction engine
Fig. 3 is that the preceding body of wall of the prediction of intelligent multi-network indoor radio signal field intensity prediction engine is provided with figure
Fig. 4 is the strong design sketch of prediction back court of intelligent multi-network indoor radio signal field intensity prediction engine
Embodiment
The technology of the present invention intelligent multi-network indoor wireless predicting signal field intensity engine
Cover unfavorable problem for solving above said indoor signal, the most effective solution is to cover compartment system in building in the installation room at present.Exactly signal of base station is introduced directly into each indoor zone by wired mode, by small size antenna base station signal is sent again, thereby reach the purpose of coverage hole in the decontamination chamber, inhibition interference, for the mobile communication subscriber in the building provides stable, reliable indoor signal, the user also can the enjoy high quality mobile communication be served indoor.This technology can be by setting up realistic emulation statistical model, and the whole communication link of emulation comes analytical performance.Consider all current conditions, for example the shape of building, size, structure, material must be surveyed data based on the territory of various area types and radio frequency.The present invention uses deterministic models, is also referred to as the fixed point propagation model, describes indoor wireless according to electromagnetic wave propagation theory and propagates.Unlike statistical model, deterministic models are without extended measurements, but need many details of indoor environment so that the prediction that the interior of building signal is propagated is more accurate.We take the modeling of FDTD method, and the digital solution by the Maxwell equation solves, and at time solution Maxwell equation, the FDTD method is explained the effect of reflection, diffraction and radiation fully by directly.During modeling, transmitter and receiver is appointed as reference point in three-dimensional coordinate.Indoor wall, ceiling, floor and spacer are modeled as the plane of given thickness and dielectric constant usually.In order to simplify, curved surface modeling is the plane surface of segmentation.Relation between these phenomenons of ripple automatically and the Maxwell equation separate integrator.Therefore, the FDTD method is well suited for the interaction of research ripple in medium.The FDTD technology is with Maxwell in time and fixed equation is converted into the equation about the field ad-hoc location.The position of electric field is at cell edge, and the position in magnetic field is at the center of sub-district.
Adopt hardware: computer 1 as Fig. 1; Computer is equipped with software flow 2
Adopt software flow as (shown in Figure 2)
Be set by the user and use device parameter such as system base-station, reception antenna, cable, amplifier, power splitter, transmitting antenna, interior architecture body of wall model (as Fig. 3 interior architecture body of wall example); Software provides indoor field strength distribution situation (as Fig. 4 design sketch, dark color is represented a little less than the field intensity among the figure, and the light field intensity of representing is strong) according to these parameter simulation electromagnetic wave propagations, provides network planning situation intuitively of user, so that carry out network planning design;
The program circuit explanation:
1. program begins, the parameter input.The parameter of importing has the scope of prediction, the horizontal ordinate maximum in prediction area, wall point array, antenna point array.
2. initialization mainly is the dielectric constant according to wall point array initialization body of wall, the magnetic conductance constant.And zero initialization field intensity array, even cicle_n=1,2.
3. begin circulation, giving the cicle_n assignment earlier is 3, and every then circulation primary judges from adding 1 whether cicle_n arrives maximum cicle_N, is then to jump to step 6, otherwise order is carried out.
4. upgrade and storage E and H value with the preferential calculus of finite differences iterative program of FDTD.
5.cicle_n add 1, return step 3.
6. EP (end of program).
Claims (1)
1, a kind of intelligent multi-network indoor radio signal field intensity prediction engine is characterized in that: adopt computer and software program flow process:
Be set by the user and use device parameter such as system base-station, reception antenna, cable, amplifier, power splitter, transmitting antenna, interior architecture body of wall model; Software provides indoor field strength distribution situation according to these parameter simulation electromagnetic wave propagations, provides network planning situation intuitively of user, so that carry out network planning design;
Its program circuit:
1) program begins, the parameter input; The parameter of importing has the scope of prediction, the horizontal ordinate maximum in prediction area, wall point array, antenna point array;
2) initialization mainly is the dielectric constant according to wall point array initialization body of wall, the magnetic conductance constant;
And zero initialization field intensity array, even cicle_n=1,2;
3) begin circulation, giving the cicle_n assignment earlier is 3, and every then circulation primary judges from adding 1 whether cicle_n arrives maximum cicle_N, is then to jump to step 6, otherwise order is carried out;
4) upgrade and storage E and H value with the preferential calculus of finite differences iterative program of FDTD;
5) cicle_n adds 1, returns step 3;
6) EP (end of program).
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2008100522006A CN101483877A (en) | 2008-01-29 | 2008-01-29 | Field intensity prediction engine for intelligent multi-network indoor radio signal |
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2008100522006A CN101483877A (en) | 2008-01-29 | 2008-01-29 | Field intensity prediction engine for intelligent multi-network indoor radio signal |
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| CN101483877A true CN101483877A (en) | 2009-07-15 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102546046A (en) * | 2010-12-29 | 2012-07-04 | 中国联合网络通信集团有限公司 | Method and device for predicting interference of outdoor wireless network to indoor wireless network |
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- 2008-01-29 CN CNA2008100522006A patent/CN101483877A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102546046A (en) * | 2010-12-29 | 2012-07-04 | 中国联合网络通信集团有限公司 | Method and device for predicting interference of outdoor wireless network to indoor wireless network |
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Open date: 20090715 |