CN101198141A - Dynamic channel allocation device - Google Patents

Abstract

The present invention provides a dynamic channel allocation device which comprises a matrix array module, a matrix calculation module, a power measuring module, an interference calculation module and a time-slot selection module, wherein, according to the estimation by a signal channel, an uplink channel shock response of each user of each time-slot is respectively estimated; the matrix array module is used for arraying the uplink channel shock responses to an uplink channel shock response matrix and arraying the noise interferences of antennas to an uplink interference noise matrix. The matrix calculation module is used for calculating the relevant matrix of an uplink signal space of each user according to the uplink channel shock response matrix and calculating the relevant matrix of an uplink interference noise space according to the uplink interference noise matrix. The power measuring module is used for measuring and reporting a downlink interference noise power in each downlink time-slot; the interference calculation module is used for calculating the uplink interference in each uplink time-slot and the downlink interference in each downlink time-slot for the target user. The time-slot selection module is used for selecting the minimal interference time-slot as the uplink time-slot allotted to the target user in all uplink time-slots and selecting the minimal interference time-slot as the downlink time-slot allotted to the target user in all downlink time-slots. Therefore, the invention achieves the utmost dodging interference and further improves the performance of the system.

Description

Dynamic channel allocation device

Technical field

The present invention relates to the communications field, more specifically, relate to a kind of dynamic channel allocation device, be used for realizing evading interference between this sub-district and adjacent community user from the space in TD SDMA (TD-SCDMA) system.

Background technology

The TD-SCDMA system uses joint-detection and smart antenna to resist inter-user interference.Joint-detection can detect a plurality of subscriber signals simultaneously, therefore, has eliminated the interference between the user.In general, because the restriction of computation complexity when being realized, joint detection algorithm is mainly used to eliminate the interference among multiple users in the same sub-district.

Smart antenna can be user-isolated from the space, plays and suppress in the sub-district simultaneously and the effect of presence of intercell interference.Specifically, by wave beam forming, smart antenna can suppress ripple and reach interference between the different user in angle (Direction Of Arrival is designated hereinafter simply as DOA), the user of in the sub-district or minizone is disturbed all work.But for the interference between the unidirectional user, the inhibition interference effect of smart antenna can reduce greatly.

Smart antenna suppresses the performance performance quality of inter-user interference from the space, directly influence the performance of TD-SCDMA network.Therefore to adopt dynamic channel allocation (DynamicChannel Allocation is designated hereinafter simply as DCA) to guarantee that smart antenna is brought into play to greatest extent and suppress the effect disturbed on the space.DCA is meant in user's access and business and carries out by channel quality criteria and portfolio parameter channel resource being optimized configuration in the process that evade interference thereby reach, high efficiency is utilized the purpose of Radio Resource.Utilize DCA to distribute, adjust user's resource distribution, make the user under the effect of smart antenna, be subjected to minimum interference, thereby improved systematic function from the sub-district and minizone.

Patent [CN1710979A] has been introduced and utilized the DCA algorithm in the TD-SCDMA system, the user that a plurality of deflections are identical in this sub-district is distributed in the different time slots, thereby makes full use of the effect that suppress to disturb in the space of smart antenna, improves systematic function.Yet the weak point of this patent is not consider the direction of the interference user of adjacent sub-district when Resources allocation.Because in the TD-SCDMA system, the interference between this community user can be eliminated by joint-detection, and the interference of adjacent community user is bigger to Effect on Performance.

Summary of the invention

For consider simultaneously in the sub-district with community user between mutual interference mutually, disturb minimum frequency point of time slot resource for the user distributes, the present invention proposes a kind of dynamic channel assignment method, realized above-mentioned purpose, evade interference to greatest extent thereby reached, and then improved systematic function.

The invention provides a kind of dynamic channel allocation device, be used to evade the interference between the user of this sub-district and adjacent sub-district, it is characterized in that, it comprises: the arranged module, be used for according to channel estimating, estimate each user's of each time slot up channel impulse response respectively, then the up channel impulse response is arranged in up channel impulse response matrix, and the noise jamming on each antenna is arranged in the uplink interference noise matrix; The matrix computations module is used for calculating each user's upward signal spatial correlation matrix according to up channel impulse response matrix, and calculates the spatial correlation matrix of uplink interference noise according to the uplink interference noise matrix; Power measurement module is used to measure and report the descending interference noise power that is subjected at each descending time slot; The interference calculation module is used to calculate uplink interference that the targeted customer is subjected at each ascending time slot and the descending interference that is subjected at each descending time slot; And time slot selection module, being used for selecting to disturb minimum time slot as the ascending time slot of distributing to the targeted customer at all ascending time slots, selection disturbs minimum time slot as the descending time slot of distributing to the targeted customer in all descending time slots.

According to the present invention, the interference calculation module realizes the calculating to uplink interference and descending interference by the following method: the interference calculation module calculates the uplink interference size that the targeted customer searches out at each ascending time slot according to upward signal spatial correlation matrix and uplink interference noise matrix and up associated detection technique to the supression factor of disturbing; And the interference calculation module according to upward signal spatial correlation matrix and descending interference noise power and descending associated detection technique the supression factor of disturbing to be calculated the targeted customer big or small in descending interferences that each descending time slot is subjected to.

Antenna according to the present invention is a smart antenna, and smart antenna according to the present invention is an array antenna.

According to the present invention, in the interference calculation module, be used for weighing the target function J of the uplink interference degree that the targeted customer is subjected at a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\mathrm{trace}(H_0^H\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k+{\mathrm{\β}}_{\mathrm{up}}{R}_N)\·H_0)$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀Expression targeted customer's up channel impulse response matrix, R _kExpression upward signal spatial correlation matrix, R _NThe upstream space correlation matrix of expression interference noise, α _UpThe residue size of disturbing between this community user behind the expression employing associated detection technique, β _UpThe weight of representing adjacent area interference and noise.

According to the present invention, α _UpBe the number of a span between (0,1), α _UpMore little, represent to disturb between this community user remaining few more.β _UpBe the number of a span between (0,1), represent the weight of adjacent area interference and noise, work as β _UpGot 1 o'clock, and when being illustrated in resource allocation, considered 100% adjacent area interference and The noise, work as β _UpGot 0 o'clock, and when being illustrated in resource allocation, do not consider any adjacent area interference and The noise.

In addition, in the interference calculation module, be used for weighing the target function J of the descending annoyance level that the targeted customer is subjected at a time slot _DownCan be expressed as:

$J_{\mathrm{down}}=\mathrm{trace}(H_0^H\·\left({\mathrm{\α}}_{\mathrm{down}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k\right)\·H_0){\mathrm{\β}}_{\mathrm{down}}{P}_N^{\mathrm{down}}$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀Expression targeted customer's up channel impulse response matrix, R _kExpression upward signal spatial correlation matrix, R _NThe upstream space correlation matrix of expression interference noise, α _DownThe residue size of disturbing between this community user behind the expression employing associated detection technique, β _DownThe weight of representing adjacent area interference and noise.

According to the present invention, according to the difference of the demodulation performance of base station and subscriber equipment, α _UpWith α _Down, and β _UpWith β _DownValue difference to some extent.

According to the present invention, in the interference calculation module, be used for weighing the target function J of the uplink interference degree that the targeted customer is subjected at a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\underset{\mathrm{\θ}=1\·\frac{\mathrm{\π}}{180}}{\overset{120\·\frac{\mathrm{\π}}{180}}{\mathrm{\Σ}}}{P}_0\left(\mathrm{\θ}\right)\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{P}_k\left(\mathrm{\θ}\right)+{\mathrm{\β}}_{\mathrm{up}}{P}_N\left(\mathrm{\θ}\right))$

Wherein, P _k(θ) be each user's of each time slot signal space intensity distributions, P _N(θ) be the signal space intensity distributions of interfering noise signal, α _UpThe residue size of disturbing between this community user behind the expression employing associated detection technique, β _UpThe weight of representing adjacent area interference and noise.

In addition, signal space intensity distributions P _k(θ) be expressed as:

P _k(θ)＝a ^H(θ)·R _k·a(θ)， $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180},$ k＝1，2，…，K

Wherein, a (θ) is the direction vector of deflection θ correspondence.

Equally, the signal space intensity distributions P of interfering noise signal _N(θ) be expressed as:

P _N(θ)＝a ^H(θ)·R _N·a(θ)， $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180}$

According to another aspect of the present invention, for the linear array smart antenna, a (θ) can be expressed as:

$a\left(\mathrm{\θ}\right)=\left[\begin{array}{c}{e}^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}}\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·2}\\ \·\\ \·\\ \·\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·\mathrm{Kn}}\end{array}\right]$

Wherein, d is an array element distance, and λ is a carrier wavelength.

Therefore, dynamic channel assignment method of the present invention can be in considering the sub-district with community user between mutually in the mutual interference, disturb minimum frequency point of time slot resource for the user distributes, evade interference to greatest extent thereby reached, and then improved systematic function.

Description of drawings

Accompanying drawing is used to provide further understanding of the present invention, and constitutes the part of specification, is used from explanation the present invention with embodiments of the invention one, is not construed as limiting the invention.In the accompanying drawings:

Fig. 1 is a linear array smart antenna schematic diagram according to an embodiment of the invention;

Fig. 2 is the flow chart according to dynamic channel assignment method of the present invention; And

Fig. 3 is the block diagram according to dynamic channel allocation device of the present invention.

Embodiment

Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, and be not used in qualification the present invention.

Fig. 1 is a linear array smart antenna schematic diagram according to an embodiment of the invention.Fig. 2 is the flow chart according to dynamic channel assignment method of the present invention.

As shown in Figure 1, the array element distance between 8 each array element of array element linear array smart antenna is d, and θ represents deflection.Below with reference to the concrete steps of Fig. 1 detailed description dynamic channel assignment method as shown in Figure 2, with reference to Fig. 2, the concrete steps of dynamic channel assignment method are as follows.

Step S202, according to channel estimating, estimate each user's of each time slot up channel impulse response respectively, then the up channel impulse response is arranged in up channel impulse response matrix, and the noise jamming on each antenna is arranged in the uplink interference noise matrix.

That is, according to embodiments of the invention, the base station at first receives the signal of training sequence part:

$e_m^{\mathrm{kn}}=M\·h^{\mathrm{kn}}++n_m^{\mathrm{kn}}---\left(1\right)$

Wherein, kn=1,2 ..., Kn represents the antenna sequence number of base station; M represents the training sequence matrix, and dimension is 128 * 128, n _m ^KnRepresent various interference and noise, dimension is 128 * 1, h ^KnRepresent the channel impulse response of all users on reception antenna kn, dimension is 128 * 1.Therefore, drawing channel impulse response estimates

For:

kn＝1，…，Kn (2)

Right again

Handle the channel impulse response that can obtain this community user

And the channel impulse response of adjacent area interference and noise

The channel impulse response of different user is used

Be expressed as follows:

Wherein,

The channel impulse response of representing k user's antenna kn, dimension are W * 1, and W is that channel estimation window is long.The channel impulse response matrix H of all antennas of user k then _kBe expressed as:

k＝1，2，…，K

(4)

Wherein, (x) ^TThe transposition of representing matrix x.

Therefore, the channel impulse response matrix H of all antennas of interference noise _NCan be expressed as:

Step S204 according to up channel impulse response matrix, calculates each user's upward signal spatial correlation matrix, and calculates the spatial correlation matrix of uplink interference noise according to the uplink interference noise matrix.

That is, according to (4) formula, with the signal space correlation matrix R of user k _kBe expressed as:

R _k＝H _k·(H _k) ^H (6)

Wherein, (x) ^HThe conjugate transpose of representing matrix x.

According to (5) formula, with the upstream space correlation matrix R of interference noise _NBe expressed as:

R _N＝H _N·(H _N) ^H (7)

Step S206, the targeted customer measures and reports descending interference noise power (ISCP) P that is subjected at each descending time slot _N ^Down

Step S208 calculates uplink interference that the targeted customer is subjected at each ascending time slot and the descending interference that is subjected at each descending time slot.The specific implementation of step S208 is as follows:

(a) will weigh the target function J of the uplink interference degree that the targeted customer is subjected in a time slot _UpBe expressed as:

$J_{\mathrm{up}}=\mathrm{trace}(H_0^H\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k+{\mathrm{\β}}_{\mathrm{up}}{R}_N)\·H_0)---\left(8\right)$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀Expression targeted customer's channel impulse response matrix.α _UpBe the number of a span between (0,1), the residue size of disturbing between this community user behind the expression employing associated detection technique, α _UpMore little, represent to disturb between this community user remaining few more; Simultaneously, β _UpAlso be the number of a span between (0,1), represent the weight of adjacent area interference and noise, work as β _UpGot 1 o'clock, and when being illustrated in resource allocation, considered 100% adjacent area interference and The noise, work as β _UpGot 0 o'clock, and when being illustrated in resource allocation, do not consider any adjacent area interference and The noise.

Wherein, the physical significance of (8) formula is to calculate the interference power sum of every the footpath of all users and interference noise in the time slot to the targeted customer.

(b) will weigh the target function J of the descending annoyance level that the targeted customer is subjected in a time slot _DownBe expressed as:

$J_{\mathrm{down}}=\mathrm{trace}(H_0^H\·\left({\mathrm{\α}}_{\mathrm{down}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k\right)\·H_0)+{\mathrm{\β}}_{\mathrm{down}}{P}_N^{\mathrm{down}}---\left(9\right)$

The demodulation performance of considering base station and subscriber equipment is difference to some extent, α _UpWith α _Down, and β _UpWith β _DownValue difference to some extent.

Alternatively, the uplink interference that the targeted customer is subjected in a time slot can be calculated according to another kind of mode, and is as follows:

With the linear array smart antenna is example, at first calculates each user's of each time slot signal space intensity distributions P _k(θ):

P _k(θ)＝a ^H(θ)·R _k·a(θ)， $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180},$ k＝1，2，…，K (10)

Wherein, a (θ) is the direction vector of deflection θ correspondence, and for the linear array smart antenna, a (θ) can be expressed as

$a\left(\mathrm{\θ}\right)=\left[\begin{array}{c}{e}^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}}\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·2}\\ \·\\ \·\\ \·\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·\mathrm{Kn}}\end{array}\right]---\left(11\right)$

Wherein, d is an array element distance as shown in Figure 1, and λ is a carrier wavelength.

Secondly, the signal space intensity distributions P of interfering noise signal _N(θ) as follows:

P _N(θ)＝a ^H(θ)·R _N·a(θ)， $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180}---\left(12\right)$

Then, weigh the target function J of the uplink interference degree that the targeted customer is subjected in a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\underset{\mathrm{\θ}=1\·\frac{\mathrm{\π}}{180}}{\overset{120\·\frac{\mathrm{\π}}{180}}{\mathrm{\Σ}}}{P}_0\left(\mathrm{\θ}\right)\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{P}_k\left(\mathrm{\θ}\right)+{\mathrm{\β}}_{\mathrm{up}}{P}_N\left(\mathrm{\θ}\right))---\left(13\right)$

The target function J of the descending annoyance level that the measurement targeted customer is subjected in a time slot _DownCan be expressed as:

$J_{\mathrm{down}}=\underset{\mathrm{\θ}=1\·\frac{\mathrm{\π}}{180}}{\overset{120\·\frac{\mathrm{\π}}{180}}{\mathrm{\Σ}}}(P_0\left(\mathrm{\θ}\right)\·\left({\mathrm{\α}}_{\mathrm{down}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{P}_k\left(\mathrm{\θ}\right)\right))+{\mathrm{\β}}_{\mathrm{down}}{P}_N^{\mathrm{down}}---\left(14\right)$

Step S210 selects to disturb minimum time slot as the ascending time slot of distributing to the targeted customer in all ascending time slots, selects to disturb minimum time slot as the descending time slot of distributing to the targeted customer in all descending time slots.

So far, finished whole dynamic channel allocation of the present invention.

Fig. 3 is the block diagram according to dynamic channel allocation device 300 of the present invention.As shown in Figure 3, dynamic channel allocation device 300 comprises: arranged module 302, be used for according to channel estimating, estimate each user's of each time slot up channel impulse response respectively, then the up channel impulse response is arranged in up channel impulse response matrix, and the noise jamming on each antenna is arranged in the uplink interference noise matrix; Matrix computations module 304 is used for calculating each user's upward signal spatial correlation matrix according to up channel impulse response matrix, and calculates the spatial correlation matrix of uplink interference noise according to the uplink interference noise matrix; Power measurement module 306 is used to measure and report the descending interference noise power that is subjected at each descending time slot; Interference calculation module 308 is used to calculate uplink interference that the targeted customer is subjected at each ascending time slot and the descending interference that is subjected at each descending time slot; And time slot selection module 310, being used for selecting to disturb minimum time slot as the ascending time slot of distributing to the targeted customer at all ascending time slots, selection disturbs minimum time slot as the descending time slot of distributing to the targeted customer in all descending time slots.

Wherein, the calculating that interference calculation module 308 realizes by the following method to uplink interference and descending interference: the supression factor of disturbing is calculated the uplink interference size that the targeted customer searches out at each ascending time slot according to upward signal spatial correlation matrix and uplink interference noise matrix and up associated detection technique; And it is big or small in descending interferences that each descending time slot is subjected to according to upward signal spatial correlation matrix and descending interference noise power and descending associated detection technique the supression factor of disturbing to be calculated the targeted customer.

According to the present invention, antenna is a smart antenna, and smart antenna is an array antenna.

In interference calculation module 308, be used for weighing the target function J of the uplink interference degree that the targeted customer is subjected at a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\mathrm{trace}(H_0^H\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k+{\mathrm{\β}}_{\mathrm{up}}{R}_N)\·H_0)$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀Expression targeted customer's up channel impulse response matrix, R _kExpression upward signal spatial correlation matrix, R _NThe upstream space correlation matrix of expression interference noise, α _UpThe residue size of disturbing between this community user behind the expression employing associated detection technique, β _UpThe weight of representing adjacent area interference and noise.

Wherein, α _UpBe the number of a span between (0,1), α _UpMore little, represent to disturb between this community user remaining few more.β _UpBe the number of a span between (0,1), represent the weight of adjacent area interference and noise, work as β _UpGot 1 o'clock, and when being illustrated in resource allocation, considered 100% adjacent area interference and The noise, work as β _UpGot 0 o'clock, and when being illustrated in resource allocation, do not consider any adjacent area interference and The noise.

In addition, in interference calculation module 308, be used for weighing the target function J of the descending annoyance level that the targeted customer is subjected at a time slot _DownCan be expressed as:

$J_{\mathrm{down}}=\mathrm{trace}(H_0^H\·\left({\mathrm{\α}}_{\mathrm{down}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k\right)\·H_0)+{\mathrm{\β}}_{\mathrm{down}}{P}_N^{\mathrm{down}}$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀Expression targeted customer's up channel impulse response matrix, R _kExpression upward signal spatial correlation matrix, R _NThe upstream space correlation matrix of expression interference noise, α _DownThe residue size of disturbing between this community user behind the expression employing associated detection technique, β _DownThe weight of representing adjacent area interference and noise.

According to the present invention, according to the difference of the demodulation performance of base station and subscriber equipment, α _UpWith α _Down, and β _UpWith β _DownValue difference to some extent.

In interference calculation module 308, be used for weighing the target function J of the uplink interference degree that the targeted customer is subjected at a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\underset{\mathrm{\θ}=1\·\frac{\mathrm{\π}}{180}}{\overset{120\·\frac{\mathrm{\π}}{180}}{\mathrm{\Σ}}}{P}_0\left(\mathrm{\θ}\right)\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{P}_k\left(\mathrm{\θ}\right)+{\mathrm{\β}}_{\mathrm{up}}{P}_N\left(\mathrm{\θ}\right))$

Wherein, P _k(θ) be each user's of each time slot signal space intensity distributions, P _N(θ) be the signal space intensity distributions of interfering noise signal, α _UpThe residue size of disturbing between this community user behind the expression employing associated detection technique, β _UpThe weight of representing adjacent area interference and noise.

In addition, signal space intensity distributions P _k(θ) be expressed as:

P _k(θ)＝a ^H(θ)·R _k·a(θ)， $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180},$ k＝1，2，…，K

Wherein, a (θ) is the direction vector of deflection θ correspondence.

Equally, the signal space intensity distributions P of interfering noise signal _N(θ) be expressed as:

P _N(θ)＝a ^H(θ)·R _N·a(θ)， $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180}.$

According to the present invention, for the linear array smart antenna, a (θ) can be expressed as:

$a\left(\mathrm{\θ}\right)=\left[\begin{array}{c}{e}^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}}\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·2}\\ \·\\ \·\\ \·\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·\mathrm{Kn}}\end{array}\right]$

Wherein, d is an array element distance, and λ is a carrier wavelength.

Can see, this community user that the targeted customer is up at each by quantize calculating for dynamic channel assignment method of the present invention and device, be subjected in the descending time slot and the interference size of adjacent community user, selection disturbs minimum distributing slot resources to give the targeted customer to the targeted customer, thereby reaches the purpose of phase mutual interference minimum, maximum capacity in the system.

Be the preferred embodiments of the present invention only below, be not limited to the present invention, for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. dynamic channel allocation device is used to evade the interference between the user of this sub-district and adjacent sub-district, it is characterized in that it comprises:

The arranged module, be used for according to channel estimating, estimate each user's of each time slot up channel impulse response respectively, then described up channel impulse response is arranged in up channel impulse response matrix, and the noise jamming on each antenna is arranged in the uplink interference noise matrix;

The matrix computations module is used for calculating described each user's upward signal spatial correlation matrix according to described up channel impulse response matrix, and calculates the spatial correlation matrix of uplink interference noise according to described uplink interference noise matrix;

Power measurement module is used to measure and report the descending interference noise power that is subjected at each descending time slot;

The interference calculation module is used to calculate uplink interference that described targeted customer is subjected at each ascending time slot and the descending interference that is subjected at each descending time slot; And time slot selection module, being used for selecting to disturb minimum time slot as the ascending time slot of distributing to described targeted customer at all ascending time slots, selection disturbs minimum time slot as the descending time slot of distributing to described targeted customer in all descending time slots.

2. dynamic channel allocation device according to claim 1, it is characterized in that described interference calculation module realizes the calculating to described uplink interference and described descending interference by the following method: described interference calculation module calculates the uplink interference size that described targeted customer searches out at each ascending time slot according to described upward signal spatial correlation matrix and described uplink interference noise matrix and up associated detection technique to the supression factor of disturbing; And described interference calculation module according to described upward signal spatial correlation matrix and described descending interference noise power and descending associated detection technique the supression factor of disturbing to be calculated described targeted customer big or small in descending interferences that each descending time slot is subjected to.

3. dynamic channel allocation device according to claim 1 is characterized in that described antenna is a smart antenna.

4. dynamic channel allocation device according to claim 3 is characterized in that described smart antenna is an array antenna.

5. according to each described dynamic channel allocation device in the claim 1 to 4, it is characterized in that, in described interference calculation module, be used for weighing the target function J of the uplink interference degree that described targeted customer is subjected at a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\mathrm{trace}(H_0^H\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k+{\mathrm{\β}}_{\mathrm{up}}{R}_N)\·H_0),$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀The up channel impulse response matrix of representing described targeted customer, R _kRepresent described upward signal spatial correlation matrix, R _NThe upstream space correlation matrix of representing described interference noise, α _UpThe residue size of disturbing between this community user behind the described associated detection technique of expression employing, β _UpThe weight of representing adjacent area interference and described noise.

6. dynamic channel allocation device according to claim 5 is characterized in that, wherein,

Described α _UpBe the number of a span between (0,1), α _UpMore little, represent to disturb between this community user remaining few more; And

Described β _UpBe the number of a span between (0,1), represent the weight of described adjacent area interference and described noise, work as β _UpGot 1 o'clock, and when being illustrated in resource allocation, considered 100% described adjacent area interference and described The noise, work as β _UpGot 0 o'clock, and when being illustrated in resource allocation, do not consider any described adjacent area interference and described The noise.

7. according to each described dynamic channel allocation device in the claim 1 to 4, it is characterized in that, in described interference calculation module, be used for weighing the target function J of the descending annoyance level that described targeted customer is subjected at a time slot _DownCan be expressed as:

$J_{\mathrm{down}}=\mathrm{trace}(H_0^H\·\left({\mathrm{\α}}_{\mathrm{down}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{R}_k\right)\·H_0)+{\mathrm{\β}}_{\mathrm{down}}{P}_N^{\mathrm{down}},$

Wherein, the diagonal entry sum of trace (x) representing matrix x, H ₀The up channel impulse response matrix of representing described targeted customer, R _kRepresent described upward signal spatial correlation matrix, R _NThe upstream space correlation matrix of representing described interference noise, α _DownThe residue size of disturbing between described community user, β are adopted behind the described associated detection technique in expression _DownThe weight of representing described adjacent area interference and described noise.

8. dynamic channel allocation device according to claim 7 is characterized in that, according to the difference of the demodulation performance of base station and subscriber equipment, α _UpWith α _Down, and β _UpWith β _DownValue difference to some extent.

9. according to each described dynamic channel allocation device in the claim 1 to 4, it is characterized in that, in described interference calculation module, be used for weighing the target function J of the uplink interference degree that described targeted customer is subjected at a time slot _UpCan be expressed as:

$J_{\mathrm{up}}=\underset{\mathrm{\θ}=1\·\frac{\mathrm{\π}}{180}}{\overset{120\·\frac{\mathrm{\π}}{180}}{\mathrm{\Σ}}}{P}_0\left(\mathrm{\θ}\right)\·({\mathrm{\α}}_{\mathrm{up}}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}{P}_k\left(\mathrm{\θ}\right)+{\mathrm{\β}}_{\mathrm{up}}{P}_N\left(\mathrm{\θ}\right)),$

Wherein, P _k(θ) be each user's of each time slot signal space intensity distributions, P _N(θ) be the signal space intensity distributions of interfering noise signal, α _UpThe residue size of disturbing between described community user, β are adopted behind the described associated detection technique in expression _UpThe weight of representing described adjacent area interference and described noise;

Described signal space intensity distributions P _k(θ) be expressed as: P _k(θ)=a ^H(θ) R _kA (θ), $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180},$ K=1,2 ..., K, wherein, a (θ) is the direction vector of deflection θ correspondence; And

The signal space intensity distributions P of described interfering noise signal _N(θ) be expressed as: P _N(θ)=a ^H(θ) R _NA (θ), $\mathrm{\θ}=(1,...,120)\·\frac{\mathrm{\π}}{180}.$

10. dynamic channel allocation device according to claim 9 is characterized in that, for the linear array smart antenna, described a (θ) can be expressed as:

$a\left(\mathrm{\θ}\right)=\left[\begin{array}{c}{e}^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}}\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·2}\\ \·\\ \·\\ \·\\ e^{j\frac{2\mathrm{\π}d\sin \left(\mathrm{\θ}\right)}{\mathrm{\λ}}\·\mathrm{Kn}}\end{array}\right],$

Wherein, d is an array element distance, and λ is a carrier wavelength.

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