CN103475607B - Channel large scale decline method of estimation and base station based on Spatial Interpolation Method - Google Patents
Channel large scale decline method of estimation and base station based on Spatial Interpolation Method Download PDFInfo
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Abstract
The present invention proposes a kind of channel large scale decline method of estimation based on Spatial Interpolation Method, comprises the following steps: obtain the positional information of known users in predeterminable area, translational speed and channel large scale decline estimated value；Space interpolation function is chosen according to the positional information of known users, translational speed and channel large scale decline estimated value in predeterminable area；According to the position of known users in predeterminable area and channel large scale decline estimated value, space interpolation function is demarcated；And the channel large scale decline estimated value of unknown subscriber in predeterminable area is obtained according to calibrated interpolating function.Embodiments of the invention according to subscriber channel large scale decline estimated value known in predeterminable area, can obtain the subscriber channel large scale decline estimated value of the unknown.The invention allows for a kind of base station.
Description
Technical field
The present invention relates to communication technical field, particularly to a kind of channel large scale decline method of estimation based on Spatial Interpolation Method and base station.
Background technology
In multiuser MIMO (Multiple-InputMultiple-Out-put, multiple-input, multiple-output) system, base station end carries out user scheduling needs the channel large scale fading information of each user known.Channel large scale in Current wireless communication system declines in estimation technique, and the channel large scale decline between different user and base station is independent estimations.But it practice, between the decline of these channel large scales, there is spatial coherence.Utilize the spatial coherence between the decline of channel large scale, it is possible not only to when lacking certain subscriber channel large scale decline estimated value, obtained unknown subscriber channel large scale decline estimated value by known subscriber channel large scale decline estimated value, and may be used for improving known subscriber channel large scale decline estimated accuracy.But above-mentioned purpose can be realized currently without concrete method.
Summary of the invention
It is contemplated that at least solve one of above-mentioned technical problem.
For this, it is an object of the present invention to propose a kind of channel large scale decline method of estimation based on Spatial Interpolation Method, the method according to subscriber channel large scale decline estimated value known in predeterminable area, can obtain the subscriber channel large scale decline estimated value of the unknown.
A kind of base station of offer is provided.
To achieve these goals, the embodiment of first aspect present invention proposes a kind of channel large scale decline method of estimation based on Spatial Interpolation Method, comprises the following steps: obtain the positional information of known user in predeterminable area, translational speed and channel large scale decline estimated value；Space interpolation function is chosen according to the positional information of user known in described predeterminable area, translational speed and channel large scale decline estimated value；Described space interpolation function is demarcated by position and channel large scale decline estimated value according to user known in described predeterminable area；And obtain subscriber channel large scale decline estimated value unknown in described predeterminable area according to calibrated interpolating function.
The channel large scale decline method of estimation based on Spatial Interpolation Method according to embodiments of the present invention, can according to the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value, choose corresponding space interpolation function, and the channel large scale decline estimated value of unknown subscriber in predeterminable area is obtained according to this interpolating function, the method easily realizes, and reliability is high.
It addition, the channel large scale based on Spatial Interpolation Method according to the above embodiment of the present invention declines, method of estimation can also have following additional technical characteristic:
In an embodiment of the present invention, described Spatial Interpolation Method is the Spatial Interpolation Method based on surface fitting.
In an embodiment of the present invention, send signaling to the mode of base station by base station or user and obtain the positional information of user known in described predeterminable area, translational speed and channel large scale decline estimated value.
In an embodiment of the present invention, also include: according to the position of user's current time, translational speed and channel large scale decline estimated value, estimate that described user is in the position of subsequent time and channel large scale decline estimated value.
The embodiment of second aspect present invention additionally provides a kind of base station, including: information collection module, described information collection module is for collecting the channel large scale decline estimated value of user known in predeterminable area, positional information and translational speed；Channel large scale decline estimation block, described channel large scale decline estimation block is for choosing space interpolation function according to the positional information of user known in described predeterminable area, translational speed and channel large scale decline estimated value, and according to the position of user known in described predeterminable area and channel large scale decline estimated value, described space interpolation function is demarcated, and obtain subscriber channel large scale decline estimated value unknown in described predeterminable area according to described interpolating function.
Base station according to embodiments of the present invention, can according to the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value, choose corresponding space interpolation function, and the channel large scale decline estimated value of unknown subscriber in predeterminable area is obtained according to this interpolating function, this architecture of base station is simple, easy to operate, and reliability is high.
It addition, base station according to the above embodiment of the present invention can also have following additional technical characteristic:
In an embodiment of the present invention, described Spatial Interpolation Method is the Spatial Interpolation Method based on surface fitting.
In an embodiment of the present invention, described information collection module can pass through to receive the channel large scale decline estimated value of the signaling described user of acquisition that described user sends, positional information and translational speed.
In an embodiment of the present invention, also include: Information revision module, described Information revision module is for according to the position of described user's current time, translational speed and channel large scale decline estimated value, estimating that described user is in the position of subsequent time and channel large scale decline estimated value.
The additional aspect of the present invention and advantage will part provide in the following description, and part will become apparent from the description below, or is recognized by the practice of the present invention.
Accompanying drawing explanation
Above-mentioned and the additional aspect of the present invention and advantage are from conjunction with will be apparent from easy to understand the accompanying drawings below description to embodiment, wherein:
Fig. 1 be according to an embodiment of the invention based on Spatial Interpolation Method channel large scale decline method of estimation flow chart；
Fig. 2 is the structured flowchart of base station according to an embodiment of the invention；With
Fig. 3 is the structured flowchart of base station in accordance with another embodiment of the present invention.
Detailed description of the invention
Being described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of same or like function from start to finish.The embodiment described below with reference to accompanying drawing is illustrative of, and is only used for explaining the present invention, and is not considered as limiting the invention.
In describing the invention, it will be appreciated that, term " " center ", " longitudinal direction ", " transverse direction ", " on ", D score, " front ", " afterwards ", " left side ", " right side ", " vertically ", " level ", " top ", " end ", " interior ", orientation or the position relationship of the instruction such as " outward " are based on orientation shown in the drawings or position relationship, it is for only for ease of the description present invention and simplifies description, rather than the device of instruction or hint indication or element must have specific orientation, with specific azimuth configuration and operation, therefore it is not considered as limiting the invention.Additionally, term " first ", " second " are only for descriptive purposes, and it is not intended that indicate or hint relative importance.
In describing the invention, it is necessary to explanation, unless otherwise clearly defined and limited, term " installation ", " being connected ", " connection " should be interpreted broadly, for instance, it is possible to it is fixing connection, it is also possible to be removably connect, or connect integratedly；Can be mechanically connected, it is also possible to be electrical connection；Can be joined directly together, it is also possible to be indirectly connected to by intermediary, it is possible to be the connection of two element internals.For the ordinary skill in the art, it is possible to concrete condition understands above-mentioned term concrete meaning in the present invention.
Channel large scale decline method of estimation based on Spatial Interpolation Method according to embodiments of the present invention and base station are described in detail below in conjunction with accompanying drawing.
Fig. 1 be according to an embodiment of the invention based on Spatial Interpolation Method channel large scale decline method of estimation flow chart.As it is shown in figure 1, according to an embodiment of the invention based on the channel large scale decline method of estimation of Spatial Interpolation Method, wherein, this Spatial Interpolation Method is the Spatial Interpolation Method based on surface fitting, and this method of estimation comprises the following steps:
Step S101, obtains the positional information of known user in predeterminable area, translational speed and channel large scale decline estimated value.In other words, i.e. the spatial distribution according to the user in predeterminable area, choose the user for space interpolation and gather (i.e. user's set of known channel large scale decline estimated value).Wherein, predeterminable area is set in advance, for instance for but be not limited to certain community.In one embodiment of the invention, signaling to the mode of base station can be sent by base station or user and obtain the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value.Specifically, namely base station can be estimated to obtain the positional information of known user, translational speed and channel large scale decline estimated value by certain method, and user is also by sending its related signaling such as positional information, translational speed to base station.
Step S102, chooses space interpolation function according to the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value.
Step S103, demarcates space interpolation function according to the position of user known in predeterminable area and channel large scale decline estimated value.In other words, each term coefficient of this space interpolation function is namely determined according to the position of user known in predeterminable area and channel large scale decline value, to complete the demarcation to space interpolation function.
Step S104, obtains subscriber channel large scale decline estimated value unknown in predeterminable area according to calibrated interpolating function.
Further, decline in method of estimation in the above-mentioned channel large scale based on Spatial Interpolation Method, also include: according to the position of user's current time, translational speed and channel large scale decline estimated value, estimation user is in the position of subsequent time and channel large scale decline estimated value.Specifically, in cycle estimator, the change in location of user is negligible, then it is made without the correction of the information such as above-mentioned customer location, translational speed, and in non-cycle estimator, then need to carry out Information revision, namely according to the position of user's current time, translational speed and channel large scale decline estimated value, estimation user is in the position of subsequent time and channel large scale decline estimated value, to revise the current information of user in real time.
With a concrete example, the above-mentioned channel large scale decline method of estimation based on Spatial Interpolation Method is more specifically described below.
Specifically, the large scale decline of channel is made up of two parts: average path loss and shadow fading.That is,
Lp(d)(dB)=Ls(d0)(dB)+10nlog10(d/d0)+Xσ(dB) (1)
Wherein, first two and Ls(d0)(dB)+10nlog10(d/d0) for average path loss, it is the function of base station and the spacing d of user；D0For reference distance, Ls(d0) can be obtained by measurement；Path loss index n depends on frequency, antenna height and transmission environment；XσRepresenting shadow fading, be a zero-mean, standard deviation is the Gaussian random variable of σ.The average that can obtain large scale decline from (1) formula is:
As a concrete example, should based on the channel large scale of Spatial Interpolation Method decline method of estimation to realize process as follows:
First, in presumptive area (such as certain community), choose user's set of one group of known channel large scale decline estimated value, represent with set J, wherein, set J has N number of user.Meanwhile, in this region, choose user's set of one group of Unknown Channel large scale decline estimated value, represent with set I, wherein, set I has M user.
Further, it is assumed that the some P in plane right-angle coordinate can be used in the locus of user uu(ux,uy) represent, wherein uxIt is the abscissa value of user u, uyIt it is the ordinate value of user u.The position P of user u in set Ju(ux,uy)|u∈JWith channel large scale decline estimated valueBeing known, u ∈ J represents that user u is a user in set J.Owing to adopting the Spatial Interpolation Method based on surface fitting, thus, it is supposed that the surface equation for matching is that (x, y), wherein (x, each term coefficient y) is unknown to f to f.Order
Can obtaining an equation group, the unknown number in equation group is surface equation f (x, each term coefficient in y).Then, determine that (x, each term coefficient in y), such that it is able to obtain a fitting surface equation determined for surface equation f with method of least square.Again because gathering the position P of user in Iu(ux,uy)|u∈IIt is known, therefore, order
Wherein,The subscriber channel large scale decline estimated value of the unknown it is the channel large scale decline estimated value that the user obtained by interpolation method gathers I, thus can be obtained.
In sum, should be based on the principle of the channel large scale decline method of estimation of Spatial Interpolation Method: be interpolated on the basis of one group of known users channel large scale decline estimated value, to obtain the subscriber channel large scale decline estimated value of the unknown.Wherein, according to the interpolating function used, it is possible to interpolation method being divided into multiple, the embodiment of present aspect is preferably the Spatial Interpolation Method based on surface fitting.
The channel large scale decline method of estimation based on Spatial Interpolation Method according to embodiments of the present invention, can according to the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value, choose corresponding space interpolation function, and the channel large scale decline estimated value of unknown subscriber in predeterminable area is obtained according to this interpolating function, the method easily realizes, and reliability is high.
Present invention also offers a kind of base station.Fig. 2 is the structured flowchart of base station according to an embodiment of the invention.
As in figure 2 it is shown, base station 200 according to an embodiment of the invention, including: information collection module 210 and channel large scale decline estimation block 220.
Specifically, information collection module 210 is for collecting the channel large scale decline estimated value of user known in predeterminable area, positional information and translational speed.Wherein, predeterminable area is set in advance, for instance for but be not limited to certain community.In one embodiment of the invention, information collection module 210 can by the positional information of user known in the signaling acquisition predeterminable area of reception user's transmission, translational speed and channel large scale decline estimated value.
Channel large scale decline estimation block 220 is for choosing space interpolation function according to the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value, and according to the position of user known in predeterminable area and channel large scale decline estimated value, space interpolation function is demarcated, and obtain subscriber channel large scale decline estimated value unknown in predeterminable area according to space interpolation function.Wherein, in one embodiment of the invention, space interpolation function is the space interpolation function based on surface fitting.In other words, namely channel large scale decline estimation block 220 determines each term coefficient of this space interpolation function according to the position of user known in predeterminable area and channel large scale decline value, to complete the demarcation to space interpolation function, and calculate the subscriber channel large scale decline estimated value obtaining the unknown in this region according to the space interpolation function after determining.
It addition, as it is shown on figure 3, above-mentioned base station 200 also includes: Information revision module 230.Specifically, Information revision module 230 is for according to the position of user's current time, translational speed and channel large scale decline estimated value, and estimation user is in the position of subsequent time and channel large scale decline estimated value.In other words, namely in cycle estimator, the change in location of user is negligible, then it is made without the correction of the information such as above-mentioned customer location, translational speed, and in non-cycle estimator, then need to carry out Information revision, namely according to the position of user's current time, translational speed and channel large scale decline estimated value, estimation user is in the position of subsequent time and channel large scale decline estimated value, to revise the current information of user in real time.
Following as a concrete example, the operation principle of above-mentioned base station 200 is described.
Specifically, when base station 200 works, its information collection module 210 collects the channel large scale decline estimated value of user's t known in predeterminable areaPositional information Pt,uAnd translational speedIt should be noted that the source of decline about subscriber channel large scale estimated value, positional information and these data of translational speed, it is possible to be that base station 200 is estimated to obtain according to certain method, it is also possible to be that user passes through signaling and sends to information collection module 210.Channel large scale decline estimation module 220, according to the position of user and channel large scale decline estimated value, utilizes the space interpolation function based on surface fitting to estimate the channel large scale decline value of unknown subscriber in this region, for user scheduling.And in this process, customer location may change over time, so that position and channel large scale decline estimated value to user carry out real-time correction.In other words, namely Information revision module 230 is according to the position of user's current time, translational speed and channel large scale decline estimated value, estimates user in the position of subsequent time and channel large scale decline value.Specifically, in cycle estimator, the change in location of user is negligible, then it is made without the correction of the information such as customer location, translational speed, and in non-cycle estimator, the change in location of user can not be ignored, then need the real-time correction of the information that carries out.
Base station according to embodiments of the present invention, can according to the positional information of user known in predeterminable area, translational speed and channel large scale decline estimated value, choose corresponding space interpolation function, and the channel large scale decline estimated value of unknown subscriber in predeterminable area is obtained according to this interpolating function, this architecture of base station is simple, easy to operate, and reliability is high.
In the description of this specification, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means in conjunction with this embodiment or example describe are contained at least one embodiment or the example of the present invention.In this manual, the schematic representation of above-mentioned term is not necessarily referring to identical embodiment or example.And, the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiments or example.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that: these embodiments can being carried out multiple change, amendment, replacement and modification when without departing from principles of the invention and objective, the scope of the present invention is by claim and equivalency thereof.
Claims (8)
1. the channel large scale decline method of estimation based on Spatial Interpolation Method, it is characterised in that comprise the following steps:
Obtain the positional information of known user in predeterminable area, translational speed and channel large scale decline estimated value；
Space interpolation function is chosen according to the positional information of user known in described predeterminable area, translational speed and channel large scale decline estimated value；
Described space interpolation function is demarcated by position and channel large scale decline estimated value according to user known in described predeterminable area, particularly as follows: determine each term coefficient of described space interpolation function according to the position of user known in described predeterminable area and channel large scale decline estimated value, to complete the demarcation to described space interpolation function；And
Subscriber channel large scale decline estimated value unknown in described predeterminable area is obtained according to calibrated interpolating function.
2. the channel large scale decline method of estimation based on Spatial Interpolation Method as claimed in claim 1, it is characterised in that described Spatial Interpolation Method is the Spatial Interpolation Method based on surface fitting.
3. the channel large scale decline method of estimation based on Spatial Interpolation Method as claimed in claim 1, it is characterized in that, send signaling to the mode of base station by base station or user and obtain the positional information of user known in described predeterminable area, translational speed and channel large scale decline estimated value.
4. the channel large scale decline method of estimation based on Spatial Interpolation Method as claimed in claim 1, it is characterised in that also include:
According to the position of user's current time, translational speed and channel large scale decline estimated value, estimate that described user is in the position of subsequent time and channel large scale decline estimated value.
5. a base station, it is characterised in that including:
Information collection module, described information collection module is for collecting the channel large scale decline estimated value of user known in predeterminable area, positional information and translational speed；
Channel large scale decline estimation block, described channel large scale decline estimation block is for the positional information according to user known in described predeterminable area, translational speed and channel large scale decline estimated value choose space interpolation function, and according to the position of user known in described predeterminable area and channel large scale decline estimated value, described space interpolation function is demarcated, and obtain subscriber channel large scale decline estimated value unknown in described predeterminable area according to described space interpolation function, wherein, described channel large scale decline estimation block determines each term coefficient of described space interpolation function according to the position of user known in described predeterminable area and channel large scale decline estimated value, to complete the demarcation to described space interpolation function.
6. base station as claimed in claim 5, it is characterised in that described space interpolation function is the space interpolation function based on surface fitting.
7. base station as claimed in claim 5, it is characterised in that described information collection module can pass through to receive the channel large scale decline estimated value of the signaling described user of acquisition that described user sends, positional information and translational speed.
8. base station as claimed in claim 5, it is characterised in that also include:
Information revision module, described Information revision module is for according to the position of described user's current time, translational speed and channel large scale decline estimated value, estimating that described user is in the position of subsequent time and channel large scale decline estimated value.
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