CN104717048A - ABS pattern dynamic regulation method in heterogeneous network based on user fairness - Google Patents

Abstract

The invention discloses an ABS pattern dynamic regulation method in an LTE-A heterogeneous network based on user fairness. The method comprises the steps that 1, an ABS pattern ensemble corresponding to different ABS ratios is preset by a macro base station; 2, victim terminals are determined by pico base stations according to reception signal-to-interference-plus-noise ratios of mobile terminals within the range of the pico base stations; 3, an initial ABS ratio is calculated by the macro base station according to data fed back by the pico base stations; 4, K signal-to-interference-plus-noise ratio sample values of the victim terminals under a non-ABS and an ABS are respectively counted by the pico base stations to calculate average signal-to-interference-plus-noise ratios within K sample periods; 5, average throughput capacities of the mobile terminals under the non-ABS and the ABS are respectively calculated by the macro base station according to the counted average signal-to-interference-plus-noise ratios fed back by the pico base stations; 6, an ABS ratio is calculated and an ABS pattern is set by the macro base station according to the average throughput capacities. According to the ABS pattern dynamic regulation method in the heterogeneous network based on the user fairness, disturbance to the pico base stations caused by the macro base station is effectively reduced; at the same time of meeting user requirements to the maximum extent, overall performance of the system and the user fairness are improved.

Description

Based on the abs mode dynamic adjusting method of user fairness in a kind of heterogeneous network

Technical field

The present invention relates to a kind of for almost blank subframe pattern (ABS pattern) dynamic adjusting method of LTE-A heterogeneous network based on user fairness, belong to mobile communication technology field.

Background technology

In order to promote the overall performance of network, be conceived to improve the spectrum efficiency in per unit region, heterogeneous network propose by LTE-A standardization body, become one of key technology considered in LTE-A standard formulation.Heterogeneous network adopts the base node of different radio access technologies to form by some, and they have different capacity, constraints and function.In lte-a system, classical macro-cellular newly can add far-end radio node (RRH) and some low power nodes, as comprised Pico cell, Home eNodeB and relaying under covering.The deployment of new node effectively can alleviate macrocellular load, improves the covering quality of specific region, improve the performance of edge customer.

Before not introducing cell area expansion (CRE), UE RSRP completely traditionally selects serving BS.Pico stands because transmitted power is low, and the UE being linked into Pico station is little, like this, has just run counter to the original intention introducing Pico station.Meanwhile, be linked into the UE at Macro station when near Pico station, the up channel at interference Pico station that can be serious, Macro UE on the uplink channel also can by the interference of Pico station, and this can cause the degradation of systematic function.

A suitable solution introduces CRE exactly.After introducing CRE again, UE is linked into Pico station according to certain deviant, like this just can solve problem above.But because the UE in Pico CRE region is greater than the RSRP stood from Pico from the RSRP that Macro stands, the cost solved the problem is the strong jamming that Pico CRE UE stands from Macro.If do not take effective interference cancellation techniques, the introducing of CRE only can cause the decline of systematic function.

The ABS scheme introduced in eICIC (enhanced Inter Cell Interference Coordination) scheme efficiently solves the problems referred to above, Macro stands in ABS subframe and only sends necessary system information and reference signal with very low power, and the UE being linked into Pico station so just can not by the impact at Macro station in ABS subframe.Macro station and Pico station only need to exchange necessary ABS information by OAM (Operating and Management) or X2 interface.

The key of ABS method of adjustment is the sub-frame allocation of balance Macro UE and Pico UE.Because Macro stands in ABS subframe only with the information that very low-power transmission is necessary, the overall performance of Macro UE will inevitably decline to some extent.The setting of ABS ratio and the overall performance of dynamic conditioning to system of ABS Pattern have a great impact.

Existing ABS pattern method of adjustment can be divided into static adjust and dynamic conditioning.In static ABS pattern method of adjustment, the ABS pattern of macro base station/femto base station does not change in time, and the performance suffers of system, in the setting of initial ABS pattern, along with the dynamic change of system, cannot meet performance requirement.In dynamic ABS pattern method of adjustment, the ABS pattern of macro base station/femto base station remains unchanged within a period of time, can change after a period of time, and the time span of change needs to be the integral multiple of ABS configuration cycle.

Existing ABS pattern dynamic adjusting method is mainly divided into two classes: ABS ratio is determined by the stand ratio of mobile terminal quantity of be injured mobile terminal quantity and Macro; ABS ratio is determined by mobile terminal quantity of being injured.The advantage of these two class methods is to realize simple, but the minimum throughput demands of mobile terminal of not considering to be injured, do not make full use of mobile terminal feedback information simultaneously yet.

Summary of the invention

Goal of the invention: the object of the invention is to overcome the deficiencies in the prior art, there is provided a kind of for LTE-A heterogeneous network based on almost blank subframe pattern (ABS pattern) dynamic adjusting method of user fairness and device, reduce the interference of user in range expansion area, while farthest meeting consumers' demand, improve overall performance and the user fairness of system.

Technical scheme: for achieving the above object, the present invention adopts following technical scheme:

Based on an abs mode dynamic adjusting method for user fairness in TD-LTE-A heterogeneous network, comprise the following steps:

The first step: macro base station, according to abs mode configuration requirement, presets the abs mode set that a different ABS ratio is corresponding;

Second step: femto base station PBS _paccording to the reception Signal to Interference plus Noise Ratio distribution situation of mobile terminals all in base station range, the quantity N of mobile terminal of determining to be injured _pico-victimwith the non-mobile terminal quantity N that is injured _pico-normal, and feeding back to macro base station, p=1,2...P, P are the femto base station quantity in macro base station coverage;

3rd step: macro base station is according to femto base station PBS _pthe N of feedback _pico-victimand N _pico-normal, calculate ABS ratio R (t) of this configuration cycle, the abs mode in this configuration cycle of initialization, and notify femto base station PBS _p;

4th step: femto base station PBS _paccording to the reception Signal to Interference plus Noise Ratio sample value statistical conditions of mobile terminal of being injured in base station range, the mobile terminal of being injured calculating this configuration cycle receives the assembly average of Signal to Interference plus Noise Ratio under non-ABS and under ABS with and feed back to macro base station;

5th step: macro base station is according to femto base station PBS _pfeedback with to be injured under estimating non-ABS subframe and ABS subframe respectively the average throughput of mobile terminal with and calculate the expectation average throughput T of mobile terminal a configuration cycle that be injured further _v(t) and average throughput T _avg(t);

6th step: the throughput data that macro base station calculates according to the 5th step, calculates feasible ABS ratio R (t), arranges corresponding abs mode, and notifies femto base station PBS _i(i=1,2...P);

The process of each abs mode dynamic conditioning is (as j*T at the multiple in each system cloud gray model cycle, T is the system cloud gray model cycle, j is the multiple in system cloud gray model cycle, 10≤j≤100) first ABS configuration cycle starting repeat above second step to the 6th step, and the described first step is run when system initialization.

Further, the concrete steps of described second step comprise:

Mobile terminal UE _iaccording to its received signal strength P _p,i(t), interference and noise power intensity according to estimate reception Signal to Interference plus Noise Ratio and feed back to femto base station PBS _p, i=1,2,3...U, U are femto base station PBS _pthe quantity of all mobile terminals in coverage;

Femto base station PBS _pwill the mobile terminal being less than predetermined threshold value β is defined as mobile terminal of being injured, and obtains the mobile terminal quantity N that is injured _pico-victimwith the non-mobile terminal quantity N that is injured _pico-normal, and feed back to macro base station.

Further, described predetermined threshold value β by femto base station according to following rule settings:

N _pico-victim＝N _pico-CRE+10％*N _pico-nonCRE

The quantity making femto base station Signal to Interference plus Noise Ratio be less than the user of β is N _pico-victim, wherein N _pico-CREfor the number of users of femto base station cell area extended area, N _pico-nonCREfor the number of users of the non-cell area extended area of femto base station.

Further, in described 3rd step, the computing formula of R (t) is

$R\left(t\right)=\underset{\mathrm{pico}\∈\left\{{\mathrm{\Φ}}_{\mathrm{pcio}}\right\}}{\max }\min \{\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{macro}}+N_{\mathrm{pico}-\mathrm{victim}}},\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{pico}-\mathrm{normal}}+N_{\mathrm{pico}-\mathrm{victim}}}\}$

Wherein, N _macrofor macro base station number of users.

Further, the concrete steps of described 4th step comprise:

To be injured mobile terminal UE _iaccording to its received signal strength P _p,i(t), interference and noise power intensity and macro base station interference signal intensity respectively according to with signal to Interference plus Noise Ratio sample value is received under estimating non-ABS signal to Interference plus Noise Ratio sample value is received with under ABS and feed back to femto base station PBS _p, i=1,2,3...V, V are femto base station PBS _pto be injured in coverage the quantity of mobile terminal;

Femto base station PBS _paccording to nearest K sample value corresponding to each mobile terminal of being injured respectively according to ${\mathrm{\γ}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\Σ}}}{w}_i\left(T\right){\mathrm{\γ}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(T\right)$ With ${\mathrm{\γ}}_{p,i,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\Σ}}}{w}_i\left(T\right){\mathrm{\γ}}_{p,i}^{D,\mathrm{ABS}}\left(T\right)$ The assembly average of Signal to Interference plus Noise Ratio is received under calculating the non-ABS of each mobile terminal of being injured and under ABS with wherein w _i(T) be weight coefficient;

Femto base station PBS _prespectively according to ${\mathrm{\γ}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{V}\underset{i=1}{\overset{V}{\mathrm{\Σ}}}{w}_i\left(T\right){\mathrm{\γ}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ With the assembly average of Signal to Interference plus Noise Ratio is received under calculating the non-ABS of mobile terminal of being injured and under ABS with

Further, in described 5th step,

with computing formula be respectively $T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)=W\underset{p=1}{\overset{P}{\mathrm{\Σ}}}{w}_p\left(t\right){\mathrm{\γ}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ With wherein W is system bandwidth, w _pt () is weight coefficient;

T _vt the computing formula of () is $T_V\left(t\right)=\frac{1}{N_s+1}\underset{N_A=0}{\overset{N_S}{\mathrm{\Σ}}}(\frac{N_A}{N}{T}_V^{\mathrm{ABS}}\left(t\right)+\frac{N_S-N_A}{N}{T}_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)),$ Wherein, N _athe quantity of almost blank subframe, N _sbe all quantity that can be configured to the descending sub frame of almost blank subframe in configuration cycle, N is almost blank subframe cycle;

T _avgt the computing formula of () is wherein, T _total(α) be the upper almost overall throughput of mobile terminal in blank subframe configuration cycle, T _total(α) computing formula is $T_{\mathrm{totsl}}\left(\mathrm{\α}\right)=\underset{p=0}{\overset{P}{\mathrm{\Σ}}}(\underset{i=V+1}{\overset{U}{\mathrm{\Σ}}}{W}_{p,i}(1-\mathrm{\α}){\mathrm{\γ}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)+\underset{i=1}{\overset{V}{\mathrm{\Σ}}}{W}_{p,i}{\mathrm{\α\γ}}_{p,i}^{D,\mathrm{ABS}}\left(t\right)),$ Wherein, α is a upper ABS ratio almost in blank subframe configuration cycle, W _p,ifor base station p is to the transmitted bandwidth of user i, p=0 represents macro base station, and p=1,2...P represent femto base station, N _uEfor the quantity of mobile terminal in community.

Further, in described 6th step, the computing formula of R (t) is

$R\left(t\right)=\frac{\min \{T_{\mathrm{avg}}\left(t\right),T_V\left(t\right)\}-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}{T_V^{\mathrm{ABS}}\left(t\right)-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}.$

Beneficial effect: the ABS dynamic adjusting method that the present invention proposes makes full use of the received signal strength of mobile terminal feedback and disturbs and noise power strength information, by calculating the average throughput of mobile terminal in different subframe situation, and utilize multisample value, when mobile terminal of being injured meets minimum throughput, obtain the ABS ratio needed for ABS pattern, significantly reduce the interference of macro base station to micro-base station, while farthest meeting consumers' demand, improve overall performance and the user fairness of system.

Accompanying drawing explanation

Fig. 1 is flow chart of the present invention;

Fig. 2 is the network structure of embodiment.

Fig. 3 is ABS sub-frame configuration figure.

Fig. 4 is femto base station and macro base station information interaction figure.

Fig. 5 is embodiment one ABS pattern frame assumption diagram.

Fig. 6 is embodiment two ABS pattern frame assumption diagram.

Fig. 7 sends Signal to Interference plus Noise Ratio sample value table and operation chart thereof in embodiment one or two.

Embodiment

It is a kind of for almost blank subframe pattern (ABS pattern) dynamic adjusting method of LTE-A heterogeneous network based on user fairness that the present invention proposes, significantly reduce the interference of macro base station to micro-base station, while farthest meeting consumers' demand, improve overall performance and the user fairness of system.

Below in conjunction with the embodiment of the present invention, the technical scheme in the embodiment of the present invention is described in detail.

Embodiment one

Be set in TD-LTE/TD-LTE-A system macro base station and micro-base station common networking scene (as Fig. 2), consider TDD sub-frame configuration 1 (the second TDD sub-frame configuration 1 in TDD Configuration 0 ~ 6 these seven kinds configuration), almost blank subframe pattern (ABS pattern) configuration cycle is 20ms, N _s=12, the size sending Signal to Interference plus Noise Ratio sample value table in base station is 10, i.e. K=10, and in macro base station coverage, micro-base station number is 4, i.e. P=4.Other important parameters in system are as shown in table 1 below:

Table 1: the system parameters in embodiment one

As shown in Figure 1, based on almost blank subframe pattern (ABS pattern) dynamic adjusting method of user fairness in a kind of LTE-A heterogeneous network that the embodiment of the present invention provides, following step is mainly comprised:

The first step: macro base station is according to systematic function and almost blank subframe pattern (ABS pattern) configuration requirement, pre-defined almost blank subframe pattern (ABS pattern) set, sort from small to large according to almost blank subframe (ABS) ratio, obtain following set omega _a={ A ₁, A ₂... A _l, this set is stored in all macro base stations.Wherein as shown in Figure 3, almost blank subframe pattern (ABS pattern) demand fulfillment is configured:

The descending sub frame that macro base station can process uplink hybrid automatic repeat request (HARQ) is configured to optional almost blank subframe (ABS);

[rule 1]

Non-Paging subframe remaining in descending sub frame is become optional almost blank subframe (ABS) with non-SIB1 sub-frame configuration by macro base station;

[rule 2]

Macro base station is according to almost blank subframe (ABS) ratio, from optional almost blank subframe (ABS), select corresponding subframe to be almost blank subframe (ABS), the almost blank subframe of low ratio almost in blank subframe pattern (ABS pattern) must be comprised at high proportion almost in blank subframe pattern (ABS pattern) simultaneously.

[rule 3]

This set is expressed as follows in table form:

Table 2: in embodiment one, a concrete ABS pattern that presets gathers

Second step: mobile terminal UE _i(i=1,2,3...U) is according to its received signal strength P _p,i(t), interference and noise power intensity utilize

${\mathrm{\γ}}_{p,i}^D\left(t\right)=\frac{P_{p,i}\left(t\right)}{P_{p,i}^{\mathrm{NI}}\left(t\right)}$ [rule 4]

Estimate the reception Signal to Interference plus Noise Ratio of mobile terminal and channel quality indication (CQI) information is fed back to femto base station PBS _p(p=1,2...P), femto base station PBS _p(p=1,2...P) basis

${\mathrm{\&gamma;}}_{p,i}^D\left(t\right)<\mathrm{\&beta;}$ [rule 6] is determined to be injured the quantity N of mobile terminal _pico-victim, record the mobile terminal ID that is injured _pico-victim, according to

N _pico-victim=N _pico-CRE+ 10%*N _pico-nonCRE[rule 7]

Determine the value of β, the mobile terminal quantity making femto base station Signal to Interference plus Noise Ratio be less than β is N _pico-victim.Wherein N _pico-CREfor the number of users of femto base station cell area extended area, N _pico-nonCREfor the number of users of the non-cell area extended area of femto base station.

In micro-base station, end message form is as follows:

Table 3: micro-base station terminal information form in embodiment one

UE ID	SINR	Whether be terminal (Yes/No) of being injured
			Pico UE1	10	No
Pico UE2	-6	Be
			Pico UE3	2	No
Pico UE4	-8	Be

3rd step: macro base station is according to femto base station PBS _pwhat (p=1,2...P) fed back be injured mobile terminal quantity N _pico-victimwith the non-mobile terminal quantity N that is injured _pico-normal(N _pico-normal=90%*N _pico-nonCRE), according to

$R\left(t\right)=\underset{\mathrm{pico}\&Element;\left\{{\mathrm{\&Phi;}}_{\mathrm{pcio}}\right\}}{\max }\min \{\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{macro}}+N_{\mathrm{pico}-\mathrm{victim}}},\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{pico}-\mathrm{normal}}+N_{\mathrm{pico}-\mathrm{victim}}}\}$

[rule 8]

Calculate almost blank subframe ratio R (t) of this configuration cycle, the almost blank subframe pattern (ABS pattern) of this configuration cycle of initialization, and notify femto base station PBS _p(p=1,2...P).

4th step: mobile terminal UE of being injured _i(i=1,2,3...V) is according to its received signal strength P _p,i(t), interference and noise power intensity and macro base station interference signal intensity utilize

${\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{P_{p,i}\left(t\right)}{P_{p,i}^{\mathrm{NI}}\left(t\right)}$ [rule 4]

Estimate the reception Signal to Interference plus Noise Ratio sample value of mobile terminal under non-almost blank subframe (non-ABS) utilize

${\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(t\right)=\frac{P_{p,i}\left(t\right)}{P_{p,i}^{\mathrm{NI}}\left(t\right)-P_{p,i}^{\mathrm{MI}}\left(t\right)}$ [rule 5]

Estimate the reception Signal to Interference plus Noise Ratio sample value of mobile terminal under almost blank subframe (ABS) and its channel quality indication (CQI) information is fed back to femto base station PBS _p(p=1,2...P), simultaneously femto base station PBS _pk sample value in its Signal to Interference plus Noise Ratio sample value table moves to left a unit by (p=1,2...P), and uses with the more rightmost memory cell of new sample value table (as Fig. 7).

Femto base station PBS _p(p=1,2...P) basis

${\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(T\right)$ [rule 9]

Calculate the assembly average sending K this configuration cycle of sample value in Signal to Interference plus Noise Ratio sample value table according to

${\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(T\right)$ [rule 10]

Calculate the assembly average sending K this configuration cycle of sample value in Signal to Interference plus Noise Ratio sample value table basis simultaneously

${\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{V}\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ [rule 11]

Calculate the assembly average of mobile terminal in this configuration cycle of being injured according to

${\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)=\frac{1}{V}\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)$ [rule 12]

Calculate the assembly average of mobile terminal in this configuration cycle of being injured

5th step: macro base station is according to femto base station PBS _pthe mobile terminal that (p=1,2...P) feeds back sends Signal to Interference plus Noise Ratio sample value assembly average with (as shown in Figure 4), utilize

$T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)=W\underset{p=1}{\overset{P}{\mathrm{\&Sigma;}}}{w}_p\left(t\right){\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ [rule 13]

Estimate the average throughput of mobile terminal under non-almost blank subframe (non-ABS) according to

$T_V^{\mathrm{ABS}}\left(t\right)=W\underset{p=1}{\overset{P}{\mathrm{\&Sigma;}}}{w}_p\left(t\right){\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)$ [rule 14]

Estimate the average throughput of mobile terminal under almost blank subframe (ABS)

According to

$T_V\left(t\right)=\frac{1}{N_s+1}\underset{N_A=0}{\overset{N_S}{\mathrm{\&Sigma;}}}(\frac{N_A}{N}{T}_V^{\mathrm{ABS}}\left(t\right)+\frac{N_S-N_A}{N}{T}_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right))$ [rule 15]

Calculate the average throughput T of mobile terminal of being injured _v(t).Wherein, N _athe quantity of ABS subframe, N _sbe all quantity that can be configured to the descending sub frame of almost blank subframe (ABS) in configuration cycle, N is almost blank subframe cycle.

According to

$T_{\mathrm{avg}}\left(t\right)=\frac{T_{\mathrm{total}}}{N_{\mathrm{UE}}}$ [rule 16]

Calculate the average throughput of all mobile terminals in this almost blank subframe configuration cycle.Wherein T _total(α) be the upper almost overall throughput of mobile terminal in blank subframe configuration cycle, T _total(α) computing formula is

$T_{\mathrm{totsl}}\left(\mathrm{\&alpha;}\right)=\underset{p=0}{\overset{P}{\mathrm{\&Sigma;}}}(\underset{i=V+1}{\overset{U}{\mathrm{\&Sigma;}}}{W}_{p,i}(1-\mathrm{\&alpha;}){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)+\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{W}_{p,i}{\mathrm{\&alpha;\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(t\right)),$ Wherein, α is a upper ABS ratio almost in blank subframe configuration cycle, W _p,ifor base station p is to the transmitted bandwidth of user i, p=0 represents macro base station, and p=1,2...P represent femto base station, N _uEfor the quantity of mobile terminal in community.

6th step: macro base station according to

$R\left(t\right)=\frac{\min \{T_{\mathrm{avg}}\left(t\right),T_V\left(t\right)\}-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}{T_V^{\mathrm{ABS}}\left(t\right)-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}$ [rule 17] calculates ABS subframe ratio R (t)=4/20 feasible in this cycle of operation.

And according to almost blank subframe (ABS) ratio R (t)=4/20, almost blank subframe pattern (ABS pattern) pattern corresponding in almost blank subframe pattern (ABS pattern) set will be set to, the almost blank subframe pattern (ABS pattern) wherein corresponding to almost blank subframe (ABS) ratio R (t)=4/20 was 01001010010000000000 (its concrete frame structure as shown in Figure 5), and as shown in Figure 4, notify micro-base station PBS by X2 interface _i(i=1,2...P).

The process of each almost blank subframe pattern (ABS pattern) dynamic conditioning is that almost blank subframe configuration cycle repeats above second step to the tenth step for first of starting at each system cloud gray model cycle 200TTIs, and the first step of the method is only run when system initialization.

Embodiment two

Be set in FDD-LTE/FDD-LTE-A system macro base station and micro-base station common networking scene, consider FDD sub-frame configuration, almost blank subframe pattern (ABS pattern) configuration cycle is 40ms, N _s=30, the size sending Signal to Interference plus Noise Ratio sample value table in base station is 10, i.e. K=10, and in macro base station coverage, micro-base station number is 4, i.e. P=4.Other important parameters in system are as shown in table 1 below:

Table 1: the system parameters in embodiment two

Based on almost blank subframe pattern (ABS pattern) dynamic adjusting method of user fairness in a kind of LTE-A heterogeneous network that the embodiment of the present invention provides, mainly comprise following step:

The first step: macro base station is according to systematic function and almost blank subframe pattern (ABS pattern) configuration requirement, pre-defined almost blank subframe pattern (ABS pattern) set, sort from small to large according to almost blank subframe (ABS) ratio, obtain following set omega _a={ A ₁, A ₂... A _l, this set is stored in all macro base stations.Wherein as shown in Figure 3, almost blank subframe pattern (ABS pattern) demand fulfillment is configured:

The descending sub frame that macro base station can process uplink hybrid automatic repeat request (HARQ) is configured to optional almost blank subframe (ABS);

[rule 1]

Non-Paging subframe remaining in descending sub frame is become optional almost blank subframe (ABS) with non-SIB1 sub-frame configuration by macro base station;

[rule 2]

Macro base station is according to almost blank subframe (ABS) ratio, from optional almost blank subframe (ABS), select corresponding subframe to be almost blank subframe (ABS), the almost blank subframe of low ratio almost in blank subframe pattern (ABS pattern) must be comprised at high proportion almost in blank subframe pattern (ABS pattern) simultaneously.

[rule 3]

This set is expressed as follows in table form:

Table 2: in embodiment two, a concrete ABS pattern that presets gathers

ABS ratio	ABS pattern (1 represents ABS subframe, and 0 represents non-ABS subframe)
		0	0000000000000000000000000000000000000000
1/40	0100000000000000000000000000000000000000
		2/40	0100000000000000000001000000000000000000
3/40	0100001000000000000001000000000000000000
		4/40	0100001000000000000001000010000000000000
5/40	0100001000000000100001000010000000000000

6/40	0100001000000000100001000010000000010000

Second step: femto base station PBS _p(p=1,2...P), according to the reception Signal to Interference plus Noise Ratio distribution situation of mobile terminal in base station range, determines be injured mobile terminal and non-mobile terminal quantity of being injured, and feeds back to macro base station, be specially: mobile terminal UE _i(i=1,2,3...U) is according to its received signal strength P _p,i(t), interference and noise power intensity utilize

${\mathrm{\&gamma;}}_{p,i}^D\left(t\right)=\frac{P_{p,i}\left(t\right)}{P_{p,i}^{\mathrm{NI}}\left(t\right)}$ [rule 4]

Estimate the reception Signal to Interference plus Noise Ratio of mobile terminal and channel quality indication (CQI) information is fed back to femto base station PBS _p(p=1,2...P), femto base station PBS _p(p=1,2...P) basis

${\mathrm{\&gamma;}}_{p,i}^D\left(t\right)<\mathrm{\&beta;}$ [rule 6]

Determine to be injured the quantity N of mobile terminal _pico-victim, record the mobile terminal ID that is injured _pico-victim, according to

N _pico-victim=N _pico-CRE+ 10%*N _pico-nonCRE[rule 7]

Determine the value of β, the mobile terminal quantity making femto base station Signal to Interference plus Noise Ratio be less than β is N _pico-victim.Wherein N _pico-CREfor the number of users of femto base station cell area extended area, N _pico-nonCREfor the number of users of the non-cell area extended area of femto base station.

In micro-base station, end message form is as follows:

Table 3: micro-base station terminal information form in embodiment two

UE ID	SINR	Whether be terminal (Yes/No) of being injured
			Pico UE1	10	No
Pico UE2	-6	Be
			Pico UE3	2	No
Pico UE4	-8	Be

3rd step: macro base station is according to femto base station PBS _pwhat (p=1,2...P) fed back be injured mobile terminal quantity N _pico-victimwith the non-mobile terminal quantity N that is injured _pico-normal(N _pico-normal=90%*N _pico-nonCRE), according to

$R\left(t\right)=\underset{\mathrm{pico}\&Element;\left\{{\mathrm{\&Phi;}}_{\mathrm{pcio}}\right\}}{\max }\min \{\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{macro}}+N_{\mathrm{pico}-\mathrm{victim}}},\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{pico}-\mathrm{normal}}+N_{\mathrm{pico}-\mathrm{victim}}}\}$

[rule 8]

Calculate almost blank subframe ratio R (t) of this configuration cycle, the almost blank subframe pattern (ABS pattern) of this configuration cycle of initialization, and notify femto base station PBS _p(p=1,2...P).

4th step: femto base station is according to the reception Signal to Interference plus Noise Ratio sample value statistical conditions of mobile terminal of being injured in base station range, the mobile terminal of being injured calculating this configuration cycle respectively receives the assembly average of Signal to Interference plus Noise Ratio under non-ABS and under ABS, and feed back to macro base station, be specially: mobile terminal UE of being injured _i(i=1,2,3...V) is according to its received signal strength P _p,i(t), interference and noise power intensity and macro base station interference signal intensity utilize

${\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{P_{p,i}\left(t\right)}{P_{p,i}^{\mathrm{NI}}\left(t\right)}$ [rule 4]

Estimate the reception Signal to Interference plus Noise Ratio sample value of mobile terminal under non-almost blank subframe (non-ABS) utilize

${\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(t\right)=\frac{P_{p,i}\left(t\right)}{P_{p,i}^{\mathrm{NI}}\left(t\right)-P_{p,i}^{\mathrm{MI}}\left(t\right)}$ [rule 5]

Estimate the reception Signal to Interference plus Noise Ratio sample value of mobile terminal under almost blank subframe (ABS) and its channel quality indication (CQI) information is fed back to femto base station PBS _p(p=1,2...P), simultaneously femto base station PBS _pk sample value in its Signal to Interference plus Noise Ratio sample value table moves to left a unit by (p=1,2...P), and uses with the more rightmost memory cell of new sample value table (as Fig. 7).

Femto base station PBS _p(p=1,2...P) basis

${\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(T\right)$ [rule 9]

Calculate the assembly average sending K this configuration cycle of sample value in Signal to Interference plus Noise Ratio sample value table according to

${\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(T\right)$ [rule 10]

Calculate the assembly average sending K this configuration cycle of sample value in Signal to Interference plus Noise Ratio sample value table basis simultaneously

${\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{V}\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ [rule 11]

Calculate the assembly average of mobile terminal in this configuration cycle of being injured according to

${\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)=\frac{1}{V}\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)$ [rule 12]

Calculate the assembly average of mobile terminal in this configuration cycle of being injured

5th step: macro base station is according to femto base station PBS _pthe mobile terminal that (p=1,2...P) feeds back sends Signal to Interference plus Noise Ratio sample value assembly average with (as shown in Figure 4), utilize

$T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)=W\underset{p=1}{\overset{P}{\mathrm{\&Sigma;}}}{w}_p\left(t\right){\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ [rule 13]

Estimate the average throughput of mobile terminal under non-almost blank subframe (non-ABS) according to

$T_V^{\mathrm{ABS}}\left(t\right)=W\underset{p=1}{\overset{P}{\mathrm{\&Sigma;}}}{w}_p\left(t\right){\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)$ [rule 14]

Estimate the average throughput of mobile terminal under almost blank subframe (ABS)

According to

$T_V\left(t\right)=\frac{1}{N_s+1}\underset{N_A=0}{\overset{N_S}{\mathrm{\&Sigma;}}}(\frac{N_A}{N}{T}_V^{\mathrm{ABS}}\left(t\right)+\frac{N_S-N_A}{N}{T}_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right))$ [rule 15]

Calculate the average throughput T of mobile terminal of being injured _v(t).Wherein, N _athe quantity of ABS subframe, N _sbe all quantity that can be configured to the descending sub frame of almost blank subframe (ABS) in configuration cycle, N is almost blank subframe cycle.

According to

$T_{\mathrm{avg}}\left(t\right)=\frac{T_{\mathrm{total}}}{N_{\mathrm{UE}}}$ [rule 16]

Calculate the average throughput of all mobile terminals in this almost blank subframe configuration cycle.Wherein T _total(α) be the upper almost overall throughput of mobile terminal in blank subframe configuration cycle, T _total(α) computing formula is

$T_{\mathrm{totsl}}\left(\mathrm{\&alpha;}\right)=\underset{p=0}{\overset{P}{\mathrm{\&Sigma;}}}(\underset{i=V+1}{\overset{U}{\mathrm{\&Sigma;}}}{W}_{p,i}(1-\mathrm{\&alpha;}){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)+\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{W}_{p,i}{\mathrm{\&alpha;\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(t\right)),$ Wherein, α is a upper ABS ratio almost in blank subframe configuration cycle, W _p,ifor base station p is to the transmitted bandwidth of user i, p=0 represents macro base station, and p=1,2...P represent femto base station, N _uEfor the quantity of mobile terminal in community.

6th step: macro base station according to

$R\left(t\right)=\frac{\min \{T_{\mathrm{avg}}\left(t\right),T_V\left(t\right)\}-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}{T_V^{\mathrm{ABS}}\left(t\right)-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}$ [rule 17]

Calculate ABS subframe ratio R (t)=5/40 feasible in this cycle of operation.

And according to almost blank subframe (ABS) ratio R (t)=5/40, almost blank subframe pattern (ABS pattern) pattern corresponding in almost blank subframe pattern (ABS pattern) set will be set to, the almost blank subframe pattern (ABS pattern) wherein corresponding to almost blank subframe (ABS) ratio R (t)=5/40 was 0100001000000000100001000010000000000000 (its concrete frame structure as shown in Figure 6), and as shown in Figure 4, notify micro-base station PBS by X2 interface _i(i=1,2...P).

The process of each almost blank subframe pattern (ABS pattern) dynamic conditioning is that almost blank subframe configuration cycle repeats above second step to the tenth step for first of starting at each system cloud gray model cycle 400TTIs, and the first step of the method is only run when system initialization.

The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (7)

1. in TD-LTE-A heterogeneous network based on an abs mode dynamic adjusting method for user fairness, it is characterized in that, comprise the following steps:

The first step: macro base station, according to abs mode configuration requirement, presets the abs mode set that a different ABS ratio is corresponding;

Second step: femto base station PBS _paccording to the reception Signal to Interference plus Noise Ratio distribution situation of mobile terminals all in base station range, the quantity N of mobile terminal of determining to be injured _pico-victimwith the non-mobile terminal quantity N that is injured _pico-normal, and feeding back to macro base station, p=1,2...P, P are the femto base station quantity in macro base station coverage;

3rd step: macro base station is according to femto base station PBS _pthe N of feedback _pico-victimand N _pico-normal, calculate ABS ratio R (t) of this configuration cycle, the abs mode in this configuration cycle of initialization, and notify femto base station PBS _p;

4th step: femto base station PBS _paccording to the reception Signal to Interference plus Noise Ratio sample value statistical conditions of mobile terminal of being injured in base station range, the mobile terminal of being injured calculating this configuration cycle receives the assembly average of Signal to Interference plus Noise Ratio under non-ABS and under ABS with and feed back to macro base station;

5th step: macro base station is according to femto base station PBS _pfeedback with to be injured under estimating non-ABS subframe and ABS subframe respectively the average throughput of mobile terminal with and calculate the expectation average throughput T of mobile terminal a configuration cycle that be injured further _v(t) and average throughput T _avg(t);

6th step: the throughput data that macro base station calculates according to the 5th step, calculates feasible ABS ratio R (t), arranges corresponding abs mode, and notifies femto base station PBS _i(i=1,2...P);

The process of each abs mode dynamic conditioning repeats above second step to the 6th step at first the ABS configuration cycle started at the multiple in each system cloud gray model cycle, and the described first step is run when system initialization.

2. in a kind of TD-LTE-A heterogeneous network according to claim 1 based on the abs mode dynamic adjusting method of user fairness, it is characterized in that, the concrete steps of described second step comprise:

Mobile terminal UE _iaccording to its received signal strength P _p,i(t), interference and noise power intensity according to estimate reception Signal to Interference plus Noise Ratio and feed back to femto base station PBS _p, i=1,2,3...U, U are femto base station PBS _pthe quantity of all mobile terminals in coverage;

Femto base station PBS _pwill the mobile terminal being less than predetermined threshold value β is defined as mobile terminal of being injured, and obtains the mobile terminal quantity N that is injured _pico-victimwith the non-mobile terminal quantity N that is injured _pico-normal, and feed back to macro base station.

3. in a kind of TD-LTE-A heterogeneous network according to claim 2 based on the abs mode dynamic adjusting method of user fairness, it is characterized in that, described predetermined threshold value β by femto base station according to following rule settings:

N _pico-victim＝N _pico-CRE+10％*N _pico-nonCRE

The quantity making femto base station Signal to Interference plus Noise Ratio be less than the user of β is N _pico-victim, wherein N _pico-CREfor the number of users of femto base station cell area extended area, N _pico-nonCREfor the number of users of the non-cell area extended area of femto base station.

4. in a kind of TD-LTE-A heterogeneous network according to claim 1 based on the abs mode dynamic adjusting method of user fairness, it is characterized in that, in described 3rd step, the computing formula of R (t) is

$R\left(t\right)=\underset{\mathrm{pico}\&Element;\left\{{\mathrm{\&Phi;}}_{\mathrm{pcio}}\right\}}{\max }\min \{\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{macro}}+N_{\mathrm{pico}-\mathrm{victim}}},\frac{N_{\mathrm{pico}-\mathrm{victim}}}{N_{\mathrm{pico}-\mathrm{normal}}+N_{\mathrm{pico}-\mathrm{victim}}}\}$

Wherein, N _macrofor macro base station number of users.

5. in a kind of TD-LTE-A heterogeneous network according to claim 1 based on the abs mode dynamic adjusting method of user fairness, it is characterized in that, the concrete steps of described 4th step comprise:

To be injured mobile terminal UE _iaccording to its received signal strength P _p,i(t), interference and noise power intensity and macro base station interference signal intensity respectively according to with signal to Interference plus Noise Ratio sample value is received under estimating non-ABS signal to Interference plus Noise Ratio sample value is received with under ABS and feed back to femto base station PBS _p, i=1,2,3...V, V are femto base station PBS _pto be injured in coverage the quantity of mobile terminal;

Femto base station PBS _paccording to nearest K sample value corresponding to each mobile terminal of being injured respectively according to ${\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(T\right)$ With ${\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{ABS}}\left(t\right)=\frac{1}{K}\underset{T=t-K+1}{\overset{t}{\mathrm{\&Sigma;}}}{w}_i\left(T\right){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(T\right)$ The assembly average of Signal to Interference plus Noise Ratio is received under calculating the non-ABS of each mobile terminal of being injured and under ABS with wherein w _i(T) be weight coefficient;

Femto base station PBS _prespectively according to ${\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)=\frac{1}{V}\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{w}_i\left(t\right){\mathrm{\&gamma;}}_{p,i,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ With the assembly average of Signal to Interference plus Noise Ratio is received under calculating the non-ABS of mobile terminal of being injured and under ABS with

6. in a kind of TD-LTE-A heterogeneous network according to claim 1 based on the abs mode dynamic adjusting method of user fairness, it is characterized in that, in described 5th step,

with computing formula be respectively $T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)=W\underset{p=1}{\overset{P}{\mathrm{\&Sigma;}}}{w}_p\left(t\right){\mathrm{\&gamma;}}_{p,\mathrm{avg}}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)$ With wherein W is system bandwidth, w _pt () is weight coefficient;

T _vt the computing formula of () is $T_V\left(t\right)=\frac{1}{N_s+1}\underset{N_A=0}{\overset{N_S}{\mathrm{\&Sigma;}}}(\frac{N_A}{N}{T}_V^{\mathrm{ABS}}\left(t\right)+\frac{N_S-N_A}{N}{T}_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)),$ Wherein, N _athe quantity of almost blank subframe, N _sbe all quantity that can be configured to the descending sub frame of almost blank subframe in configuration cycle, N is almost blank subframe cycle;

T _avgt the computing formula of () is wherein, T _total(α) be the upper almost overall throughput of mobile terminal in blank subframe configuration cycle, T _total(α) computing formula is $T_{\mathrm{total}}\left(\mathrm{\&alpha;}\right)=\underset{p=0}{\overset{P}{\mathrm{\&Sigma;}}}(\underset{i=V+1}{\overset{U}{\mathrm{\&Sigma;}}}{W}_{p,i}(1-\mathrm{\&alpha;}){\mathrm{\&gamma;}}_{p,i}^{D,\mathrm{non}-\mathrm{ABS}}\left(t\right)+\underset{i=1}{\overset{V}{\mathrm{\&Sigma;}}}{W}_{p,i}{\mathrm{\&alpha;\&gamma;}}_{p,i}^{D,\mathrm{ABS}}\left(t\right)),$ Wherein, α is a upper ABS ratio almost in blank subframe configuration cycle, W _p,ifor base station p is to the transmitted bandwidth of user i, p=0 represents macro base station, and p=1,2...P represent femto base station, N _uEfor the quantity of mobile terminal in community.

7. in a kind of TD-LTE-A heterogeneous network according to claim 1 based on the abs mode dynamic adjusting method of user fairness, it is characterized in that, in described 6th step, the computing formula of R (t) is $R\left(t\right)=\frac{\min \{T_{\mathrm{avg}}\left(t\right),T_V\left(t\right)\}-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}{T_V^{\mathrm{ABS}}\left(t\right)-T_V^{\mathrm{non}-\mathrm{ABS}}\left(t\right)}.$