CN104935364A - Method of carrying out distributed wave beam forming in heterogeneous network and apparatus thereof - Google Patents

Abstract

An embodiment of the invention provides a method of carrying out distributed wave beam forming in a heterogeneous network and an apparatus thereof. The heterogeneous network comprises a macro base station and at least one low power base station. The method comprises the following steps of calculating a respective candidate wave beam forming vector based on respective channel information, an interference temperature and a given value of energy efficiency of the heterogeneous network respectively at the macro base station and each low power base station, wherein the interference temperature indicates the interference between the macro base station and each low power base station; based on the candidate wave beam forming vector, determining whether a predetermined condition which can make maximization of the energy efficiency of the heterogeneous network is satisfied; responding to and satisfying the predetermined condition, and taking the candidate wave beam forming vector as respective optimum wave beam forming vector of the macro base station and each low power base station. By using the method of carrying out distributed wave beam forming in the heterogeneous network and the apparatus, maximization of the energy efficiency of the heterogeneous network can be realized.

Description

For carrying out the method and apparatus of distributed beamforming in heterogeneous network

Technical field

The embodiments of the present invention relate generally to communication technology.More specifically, embodiments of the present invention relate to the method and apparatus for carrying out distributed beamforming in heterogeneous network.

Background technology

3GPP LTE and LTE-is senior is one of Next generation cellular communication standard.In LTE-is senior, by by such as slightly the low power nodes of eNB, femto eNB, via node and remote radio-frequency heads (Remote Radio Head, RRH) included, deploy heterogeneous network (HetNet).In heterogeneous network, along with the continuous increase of low power nodes number, subscriber equipment (UE) is subject to presence of intercell interference.Coordinate multipoint (CoMP) transmission technology is owing to can eliminating presence of intercell interference and increasing throughput of system and receive increasing concern.

At present, in the heterogeneous network adopting CoMP transmission technology, usual employing centralized approach, such as, unify by central controller the optimum beam forming vectors determining each base station, reduces presence of intercell interference and improve efficiency with the transmitting power by reducing each base station.But, when adopting centralized approach to determine the optimum beam forming vectors of each base station, needing to obtain channel information accurately from each base station, thus causing huge information feed back burden.

Summary of the invention

Embodiments of the present invention provide a kind of for carrying out distributed beamforming scheme in heterogeneous network, to solve or to alleviate the above-mentioned problems in the prior art at least partially at least in part.

According to the first aspect of embodiment of the present invention, provide a kind of method for carrying out distributed beamforming in heterogeneous network, described heterogeneous network comprises macro base station and at least one low power base station.Described method comprises: each low power base station place in described macro base station and at least one low power base station described, respectively based on the set-point of the efficiency of respective channel information, interference temperature and described heterogeneous network, calculate respective candidate beam forming vectors, wherein said interference temperature indicates the interference between described macro base station and each described low power base station.Described method also comprises: determine whether based on described candidate beam forming vectors to meet the maximized predetermined condition of described efficiency making described heterogeneous network.And described method also comprises: in response to meeting described predetermined condition, described candidate beam forming vectors is defined as described macro base station and each described low power base station optimum beam forming vectors separately.

According to the second aspect of embodiment of the present invention, provide a kind of device for carrying out distributed beamforming in heterogeneous network, described heterogeneous network comprises macro base station and at least one low power base station.Described device comprises computing unit, be configured to each low power base station place in described macro base station and at least one low power base station described, set-point respectively based on the efficiency of respective channel information, interference temperature and described heterogeneous network calculates respective candidate beam forming vectors, and wherein said interference temperature indicates the interference between described macro base station and each described low power base station.Described device also comprises judging unit, is configured to determine whether to meet the maximized predetermined condition of described efficiency making described heterogeneous network based on described candidate beam forming vectors.And described device also comprises determining unit, being configured in response to meeting described predetermined condition, described candidate beam forming vectors being defined as described macro base station and each described low power base station optimum beam forming vectors separately.

Embodiments of the present invention expect at least one had in following benefits.By determining that the optimum beam forming vectors of macro base station and each low power base station achieves the efficiency maximization of heterogeneous network.By introducing this concept of interference temperature in cognition wireless electrical domain, distributed form for given interference temperature is expressed as by making the maximized predetermined condition of the efficiency of heterogeneous network, thus by judging whether respectively to meet maximized first and second predetermined conditions of efficiency at macro base station and each low power base station place, can determine whether to meet and make the maximized predetermined condition of the efficiency of heterogeneous network.In addition, only need calculate the instrumental value for upgrading interference temperature at macro base station place, thus reduce the calculated load of base station.In addition, between macro base station and each low power base station, only need exchanging the instrumental value for upgrading interference temperature, thus decreasing the quantity of feedback information.

Accompanying drawing explanation

By reference to the accompanying drawings and with reference to following detailed description, the feature of each execution mode of the present invention, advantage and other aspects will become more obvious, show some execution modes of the present invention by way of example, and not by way of limitation at this.In the accompanying drawings:

Fig. 1 illustrates the flow chart of the method 100 for carrying out distributed beamforming in heterogeneous network according to embodiment of the present invention;

Fig. 2 illustrates the block diagram of the device 200 for carrying out distributed beamforming in heterogeneous network according to embodiment of the present invention;

Fig. 3 diagrammatically illustrate utilize respectively according to the method for the distributed beamforming of embodiment of the present invention and and speed maximize relation between the transmitting power of the macrocell that (SumRate Maximization) method obtains and the average efficiency of heterogeneous network; And

Fig. 4 diagrammatically illustrate utilize respectively according to the method for the distributed beamforming of embodiment of the present invention and with speed maximization approach, the average efficiency of heterogeneous network that obtains when adopting the antenna of different number.

Embodiment

Various execution mode of the present invention is described in detail with reference to the accompanying drawings.The operation that flow chart in accompanying drawing and block diagram illustrate device, method and architecture according to embodiment of the present invention, function and can be performed by computer program.In this respect, each box indicating module, program or partial code in these flow charts or block diagram, it comprises one or more executable instruction for performing specific logical function.It should be noted that in some alternate embodiments, the function that each square frame middle finger shows can occur with the order being different from order shown in accompanying drawing.Such as, in fact two square frames illustrated continuously can perform with substantially parallel or contrary order, and this depends on relevant function.Shall also be noted that each square frame in block diagram and/or these flow charts and its combination can be implemented by the system based on specialized hardware for performing specific function/operation or by the combination of specialized hardware and computer instruction.

Embodiments of the present invention provide a kind of for carrying out distributed beamforming scheme in heterogeneous network.In this scenario, introduce this concept of interference temperature in cognition wireless electrical domain, for the interference between instruction macro base station and each low power base station.By at macro base station and each low power base station place, the set-point based on the efficiency of respective channel information, interference temperature and heterogeneous network calculates respective candidate beam forming vectors; Judge whether to meet based on described candidate beam forming vectors and make the maximized predetermined condition of the efficiency of heterogeneous network; If do not meet described predetermined condition, then upgrade the set-point of the efficiency of interference temperature and heterogeneous network, thus operated by series of iterations, find and can make the optimum beam forming vectors of the maximized macro base station of the efficiency of heterogeneous network and the optimum beam forming vectors of each low power base station.

The scheme for carrying out distributed beamforming in heterogeneous network according to embodiment of the present invention is described in detail hereinafter with reference to Fig. 1 and Fig. 2.

Fig. 1 illustrates the flow chart of the method 100 for carrying out distributed beamforming in heterogeneous network according to embodiment of the present invention.Described heterogeneous network comprises macro base station and at least one low power base station.In this manual, macro base station can refer to grand NB or grand eNB.Low power base station can refer to the low power nodes of such as eNB, femto eNB, RRH etc. slightly.

First, the maximized predetermined condition of the efficiency of heterogeneous network is made by describing in conjunction with following scene, in this scenario, described heterogeneous network comprises a macro base station and multiple low power base station, and macro base station has a user and each low power base station also has a user.In this case, the efficiency of heterogeneous network can be expressed as following formula:

$f\left(\right\{W\left\}\right)=\frac{f_1\left(\right\{W\left\}\right)}{f_2\left(\right\{W\left\}\right)}=\frac{R_0^m+{\mathrm{\Σ}}_{k=1}^K{R}_k^r}{\mathrm{Tr}\left(W_0^m\right)+{\mathrm{\Σ}}_{k=1}^K\mathrm{Tr}\left(W_k^r\right)+(K+1)P_C}---\left(1\right)$

Wherein, represent the transmission rate of macro base station, represent the transmission rate of a kth low power base station, $W_0^m=w_0^m{\left(w_0^m\right)}^H,W_k^r=w_k^r{\left(w_k^r\right)}^H,$ represent the beamforming vector of macro base station, represent the beamforming vector of a kth low power base station, represent the transmitting power of macro base station, represent the transmitting power of a kth low power base station, P _crepresent the power consumption of the circuit of each base station, K represents the number of low power base station, 1≤k≤K.

As can be seen from above formula (1), in order to realize the efficiency (f ({ W}) of heterogeneous network) maximization, need to find the optimum beam forming vectors of macro base station and the optimum beam forming vectors of each low power base station.For this reason, can determine that following target function is using as making the maximized predetermined condition of the efficiency of heterogeneous network according to above formula (1):

$F\left\{\mathrm{\η}\right\}=\max \{f_1\left(\right\{W\left\}\right)-\mathrm{\η}{f}_2\left(\right\{W\left\}\right)\}=0,s.t.\mathrm{Tr}\left(W_i\right)\≤P_i,\∀i---\left(2\right)$

Be appreciated that η gets maximum as F (η)=0.Therefore, should find and make f ₁(W})-η f ₂(W}) maximized optimum beam forming vectors.

With reference to Fig. 1, in step S101, each low power base station place in macro base station and at least one low power base station, set-point respectively based on the efficiency of respective channel information, interference temperature and heterogeneous network calculates respective candidate beam forming vectors, the interference wherein between interference temperature instruction macro base station and each low power base station.

Be appreciated that, in the prior art, in order to calculate the beamforming vector of macro base station, not only needing known from macro base station to macro base station and the information of the channel of the user of low power base station, and needing known each low power base station to the information of the channel of the user of this macro base station.Thus, in order to calculate the beamforming vector of himself at macro base station place, need to obtain the information of each low power base station to the channel of the user of this macro base station from low power base station, thus cause huge information feed back burden.Similarly, in order to calculate the beamforming vector of this low power base station at certain low power base station place, need the information of the channel obtaining the user from macro base station to this low power base station from macro base station, cause huge information feed back burden equally.

According to the embodiment of the present invention, interference temperature is introduced to indicate the interference between macro base station and each low power base station.Particularly, described interference temperature comprises the first interference temperature set, and the corresponding low power base station in each first interference temperature instruction at least one low power base station described in described first interference temperature set is to the interference of the user of described macro base station.Thus, calculate the candidate beam forming vectors of macro base station to comprise: based on the information of the channel of the user from macro base station to macro base station and the candidate beam forming vectors calculating macro base station from macro base station to the set-point of the information of the channel of the user of each low power base station (below by this two category information referred to as " channel information of macro base station "), each summation of the first interference temperature and the efficiency of heterogeneous network.

In addition, described interference temperature also comprises the second interference temperature set, and each second interference temperature in described second interference temperature set indicates described macro base station to the interference of the user of the corresponding low power base station at least one low power base station described.Thus, the candidate beam forming vectors calculating certain low power base station comprises: based on from this low power base station to the information of the channel of the user of this low power base station and the candidate beam forming vectors calculating this low power base station from this low power base station to the described set-point of the efficiency of corresponding second interference temperature the information of the channel of the user of macro base station (below by this two category information referred to as " channel information of low power base station "), described second interference temperature set and described heterogeneous network.

According to the embodiment of the present invention, comprise a macro base station and multiple low power base station, macro base station at described heterogeneous network and there is a user and each low power base station also has a user and in the negligible situation of interference between each low power base station, the beamforming vector of macro base station can be expressed as following formula:

$\begin{array}{c}{w}_0^m={(\underset{j\≠0}{\mathrm{\Σ}}{\mathrm{\λ}}_{j,0}{h}_{j,0}{h}_{j,0}^H+{\mathrm{\λ}}_{\mathrm{0,0}}I+\mathrm{\ηI})}^{-1}{h}_{\mathrm{0,0}}\sqrt{p_0}\\ p_0={(\frac{1}{\ln 2}-\frac{{\mathrm{\Σ}}_{j\≠0}{\mathrm{\Γ}}_{0,j}+{\mathrm{\σ}}_0^2}{{\left|\right|A_0{h}_{\mathrm{0,0}}\left|\right|}^2})}^{+}\frac{1}{{\left|\right|A_0{h}_{\mathrm{0,0}}\left|\right|}^2}\\ A_0={({\mathrm{\Σ}}_{j\≠0}{\mathrm{\λ}}_{j,0}{h}_{j,0}{h}_{j,0}^H+{\mathrm{\λ}}_{\mathrm{0,0}}I+\mathrm{\ηI})}^{-1/2}\\ {\left(x\right)}^{+}=\max (0,x)\end{array}---\left(3\right)$

Wherein, represent the beamforming vector of macro base station, h _0,0represent the channel vector of the user from macro base station to macro base station, h _{j, 0}represent the channel vector of the user of a low power base station from macro base station to jth, Γ _{0, j}represent first interference temperature of the user from a jth low power base station to macro base station, represent the noise variance for macro base station, η represents the efficiency of heterogeneous network, and K represents the number of low power base station, 1≤j≤K, λ _{j, 0}and λ _0,0represent the Lagrangian non-negative factor associated with formula (3) respectively.

As can be seen from above formula (3), by introducing the first interference temperature, regard K low power base station as interference to macro base station user, thus the set-point of efficiency based on the channel information of macro base station, the first interference temperature and heterogeneous network, the candidate beam forming vectors of macro base station can be calculated.

Similarly, the beamforming vector of i-th low power base station can be expressed as following formula:

$\begin{array}{c}{w}_i^r={({\mathrm{\λ}}_{0,i}{h}_{0,i}{h}_{0,i}^H+{\mathrm{\λ}}_{i,i}I+\mathrm{\ηI})}^{-1}{h}_{i,i}\sqrt{p_i}\\ p_i={(\frac{1}{\ln 2}-\frac{{\mathrm{\Γ}}_{i,0}+{\mathrm{\σ}}_i^2}{{\left|\right|A_i{h}_{i,i}\left|\right|}^2})}^{+}\frac{1}{{\left|\right|A_i{h}_{i,i}\left|\right|}^2}\\ A_i={({\mathrm{\λ}}_{0,i}{h}_{0,i}{h}_{0,i}^H+{\mathrm{\λ}}_{i,i}I+\mathrm{\ηI})}^{-1/2}\\ {\left(x\right)}^{+}=\max (0,x)\end{array}---\left(4\right)$

Wherein, represent the beamforming vector of i-th low power base station, h _i,irepresent the channel vector from i-th low power base station to the user of i-th low power base station, h _{0, i}represent the channel vector from i-th low power base station to the user of macro base station, Γ _{i, 0}represent from macro base station to second interference temperature of the user of i-th low power base station, represent the noise variance for i-th low power base station, λ _{0, i}and λ _i,irepresent the Lagrangian non-negative factor associated with formula (4) respectively.

As can be seen from above formula (4), by introducing the second interference temperature, macro base station is regarded as the interference to each low power base station user, thus the set-point of efficiency based on the channel information of low power base station, the second interference temperature and heterogeneous network, the candidate beam forming vectors of low power base station can be calculated.

According to the embodiment of the present invention, the set-point of the efficiency of heterogeneous network such as meets following condition:

$0<\mathrm{\&eta;}\&le;\frac{R_{\max }}{(K+1)P_C}---\left(5\right)$

Wherein η represents the efficiency of heterogeneous network, R _maxrepresent the maximum of the overall transmission rate of macro base station and low power base station, K represents the number of low power base station, P _crepresent the power consumption of the circuit of each base station.P _crelevant with the number of antennas configured in a base station.Therefore, in this manual, in order to simplified characterization, assuming that macro base station and each low power base station are configured with the antenna of identical number, therefore the power consumption of the circuit of macro base station and each low power base station is P _c.According to the embodiment of the present invention, at macro base station place, efficiency η can be set to positive little as far as possible in advance, and this set-point of efficiency η is broadcast to each low power base station.

For the set-point of η, by by the λ in formula (3) _{j, 0}, λ _0,0and Γ _{0, j}be initialized as the arbitrary value being greater than 0, utilize formula (3) that the candidate beam forming vectors of macro base station can be calculated similarly, by by the λ in formula (4) _{0, i}, λ _i,iand Γ _{i, 0}be initialized as the arbitrary value being greater than 0, utilize formula (4) that the candidate beam forming vectors of i-th low power base station can be calculated

Continue with reference to Fig. 1, in step S102, determine whether to meet based on calculated candidate beam forming vectors and make the maximized predetermined condition of the efficiency of heterogeneous network.

In embodiments of the present invention, by introducing interference temperature this concept, distributed form for given interference temperature can be derived from the efficiency maximization problems of heterogeneous network.In other words, the second predetermined condition set making the first predetermined condition of the efficiency optimization of described macro base station and the efficiency of at least one low power base station described is optimized is derived from the efficiency maximization problems of heterogeneous network.

According to the embodiment of the present invention, comprise a macro base station and multiple low power base station, macro base station at described heterogeneous network and there is a user and each low power base station also has a user and in the negligible situation of interference between each low power base station, the transmission rate of macro base station with the transmission rate of a kth low power base station following formula can be expressed as respectively:

$R_0^m\left(\right\{W_0^m\left\}\right)={\log }_2(1+\frac{{\left(h_{\mathrm{0,0}}\right)}^H{W}_0^m{h}_{0,0}}{{\mathrm{\&Sigma;}}_{k=1}^K{\left(h_{0,k}\right)}^H{W}_k^r{h}_{0,k}+{\mathrm{\&sigma;}}^2})---\left(6\right)$ $R_k^r\left(\right\{W_k^r\left\}\right)={\log }_2(1+\frac{{\left(h_{k,k}\right)}^H{W}_k^r{h}_{k,k}}{{\left(h_{k,0}\right)}^H{W}_0^m{h}_{k,0}+{\mathrm{\&sigma;}}^2}),(k>0)---\left(7\right)$

Wherein, h _0,0represent the channel vector of the user from macro base station to macro base station, h _{0, k}represent the channel vector of the user of a low power base station from macro base station to kth, h _k,krepresent from a kth low power base station to the channel vector of the user of a kth low power base station, h _{k, 0}represent the channel vector of the user of a low power base station from macro base station to kth, σ ²represent noise variance.

The following formula (8) for macro base station can be derived in conjunction with above formula (1), (2) and (6), and the following formula (9) for i-th low power base station can be derived in conjunction with above formula (1), (2) and (7):

$\begin{array}{c}\max \left(F_0\right)=\underset{W}{\max }({\log }_2(1+\frac{h_{\mathrm{0,0}}^H{W}_0^m{h}_{\mathrm{0,0}}}{{\mathrm{\&Sigma;}}_{j=1}^K{\mathrm{\&Gamma;}}_{0,j}+{\mathrm{\&sigma;}}_0^2})-\mathrm{Tr}\left(\mathrm{\&eta;}{W}_0^m\right))\\ s.t.h_{j,0}^H{W}_0^m{h}_{j,0}\&le;{\mathrm{\&Gamma;}}_{j,0},\&ForAll;j\&NotEqual;0,\mathrm{Tr}\left(W_0^m\right)\&le;P_0\end{array}---\left(8\right)$

$\begin{array}{c}\max \left(F_i\right)=\underset{W}{\max }({\log }_2(1+\frac{h_{i,i}^H{W}_i^r{h}_{i,i}}{{\mathrm{\&Gamma;}}_{i,0}+{\mathrm{\&sigma;}}_i^2})-\mathrm{Tr}\left(\mathrm{\&eta;}{W}_i^r\right))\\ s.t.h_{0,i}^H{W}_i^r{h}_{0,i}\&le;{\mathrm{\&Gamma;}}_{0,i},\mathrm{Tr}\left(W_i^r\right)\&le;P_i\end{array}---\left(9\right)$

Thus, the first predetermined condition met for described macro base station the value can determining above formula (8) can be defined as, and the second predetermined condition met for i-th low power base station the value can determining above formula (9) can be defined as.

By by the set-point of η, h _0,0and Γ _{0, j}initial value, and the candidate beam forming vectors of the macro base station calculated in step S101 substitute into above formula (8), can F be calculated ₀value.

Following formula (10) and (11) can be utilized respectively to upgrade λ _{j, 0}and λ _0,0:

${\mathrm{\&lambda;}}_{j,0}(t+1)={\mathrm{\&lambda;}}_{j,0}\left(t\right)-\mathrm{\&alpha;}\&CenterDot;({\mathrm{\&Gamma;}}_{j,0}-h_{j,0}^H{W}_0^m{h}_{j,0})---\left(10\right)$

${\mathrm{\&lambda;}}_{\mathrm{0,0}}(t+1)={\mathrm{\&lambda;}}_{\mathrm{0,0}}\left(t\right)-\mathrm{\&alpha;}\&CenterDot;[P_0-\mathrm{Tr}\left(W_0^m\right)]---\left(11\right)$

Wherein λ _{j, 0}and λ _0,0represent the Lagrangian non-negative factor associated with formula (3) respectively, α represents step-length, represent for λ _{j, 0}subgradient, represent for λ _0,0subgradient, t represents iterations.Being appreciated that the exact value in order to obtain λ, step-length α can being set to less positive, such as 10 ^-4.

Utilize the λ after upgrading _{j, 0}and λ _0,0above formula (3) is solved, the candidate beam forming vectors of the renewal of macro base station can be calculated.Then, then by the set-point of η, h _0,0, Γ _{0, j}initial value, and the candidate beam forming vectors of the renewal of macro base station substitutes into formula (8), can calculate F ₀currency.By F ₀currency and F ' ₀preceding value compare, if F ₀currency and F ₀the absolute value of difference of preceding value | Δ F ₀|≤ε, then can by F ' ₀currency be defined as F ₀maximum, thus the solving of complete twin type (8).Now, will with F ₀λ corresponding to maximum _{j, 0}and λ _0,0be defined as best λ value.If F ₀currency and F ₀the absolute value of difference of preceding value do not meet | Δ F ₀|≤ε, then utilize above formula (10) and (11) to solve above formula (3) iteratively, until find satisfied | Δ F ₀| the λ of≤ε _{j, 0}and λ _0,0.Be appreciated that and ε can be set to less positive, such as 10 ^-3.

Similarly, following formula (12) and (13) can be utilized respectively to upgrade λ _{0, i}and λ _i,i:

${\mathrm{\&lambda;}}_{0,i}(t+1)={\mathrm{\&lambda;}}_{0,i}\left(t\right)-\mathrm{\&alpha;}\&CenterDot;({\mathrm{\&Gamma;}}_{0,i}-h_{0,i}^H{W}_i^r{h}_{0,i})---\left(12\right)$

${\mathrm{\&lambda;}}_{i,i}(t+1)={\mathrm{\&lambda;}}_{i,i}\left(t\right)-\mathrm{\&alpha;}\&CenterDot;[P_i-\mathrm{Tr}\left(W_i^r\right)]---\left(13\right)$

Wherein λ _{0, i}and λ _i,irepresent the Lagrangian non-negative factor associated with formula (4) respectively, represent for λ _{0, i}subgradient, represent for λ _i,isubgradient, t represents iterations.

Equally, similar mode can be adopted, (12) and (13) solve above formula (4) iteratively to utilize above formula, until find satisfied | Δ F _i| the λ of≤ε _{0, i}and λ _i,i.

According to the embodiment of the present invention, method 100 comprises the steps: further

A (), in response to meeting described first predetermined condition (such as in response to the value determining above formula (8)), determines the first instrumental value set and the second instrumental value set at described macro base station place;

B () is in response to corresponding second predetermined condition (such as in response to the value determining above formula (9)) met in described second predetermined condition set, corresponding low power base station place at least one low power base station described determines corresponding 3rd instrumental value in the 3rd instrumental value set and corresponding 4th instrumental value in the 4th instrumental value set, wherein said first and the 3rd corresponding first in instrumental value set and the 3rd instrumental value are arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, described second and the 4th corresponding second in instrumental value set and the 4th instrumental value are arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set,

C () exchanges the corresponding first, second, third and fourth instrumental value in the set of described first, second, third and fourth instrumental value between described macro base station and each described low power base station; And

D (), at described macro base station and each described low power base station place, utilizes the corresponding first, second, third and fourth instrumental value exchanged to upgrade corresponding first and second interference temperatures in described first and second interference temperature set.Be appreciated that, the initial value of the first and second interference temperatures can be arranged respectively by corresponding low power base station and macro base station, and after the setup, the initial value of corresponding first and second interference temperatures is exchanged, to utilize first, second, third and fourth instrumental value to upgrade corresponding first and second interference temperatures subsequently between each low power base station and macro base station.

According to a specific embodiment, jth the first instrumental value in the first instrumental value set that macro base station place calculates and jth second instrumental value in the second instrumental value set can be expressed as following formula respectively:

$\begin{array}{c}{a}_{0,j}={\mathrm{\&lambda;}}_{0,j}\\ b_{0,j}=\frac{-h_{\mathrm{0,0}}^H{W}_0{h}_{\mathrm{0,0}}}{\ln 2({\mathrm{\&Sigma;}}_{j\&NotEqual;0}{\mathrm{\&Gamma;}}_{j,0}+{\mathrm{\&sigma;}}_0^2)({\mathrm{\&Sigma;}}_{j\&NotEqual;0}{\mathrm{\&Gamma;}}_{j,0}+{\mathrm{\&sigma;}}_0^2+h_{\mathrm{0,0}}^H{W}_0{h}_{\mathrm{0,0}})}\end{array}---\left(14\right)$

Wherein, a _{0, j}and b _{0, j}be illustrated respectively in the first instrumental value and the second instrumental value that macro base station place calculates for a jth low power base station, and macro base station needs a _{0, j}and b _{0, j}send to a jth low power base station.When there is K low power base station, macro base station needs respectively calculating K the first instrumental value and K the second instrumental value (namely in the first instrumental value set and the second instrumental value set, the number of element is K), and the first instrumental value calculated and the second instrumental value are sent to corresponding low power base station.

According to a specific embodiment, jth the 3rd instrumental value in the 3rd instrumental value set that a jth low power base station place calculates and jth the 4th instrumental value in the 4th instrumental value set can be expressed as following formula respectively:

$\begin{array}{c}{a}_{j,0}={\mathrm{\&lambda;}}_{j,0}\\ b_{j,0}=\frac{-h_{j,j}^H{W}_j{h}_{j,j}}{\ln 2({\mathrm{\&Gamma;}}_{0,j}+{\mathrm{\&sigma;}}_j^2)({\mathrm{\&Gamma;}}_{0,j}+{\mathrm{\&sigma;}}_j^2+h_{j,j}^H{W}_j{h}_{j,j})}\end{array}---\left(15\right)$

Wherein a _{j, 0}and b _{j, 0}represent the 3rd instrumental value that a jth low power base station calculates for macro base station and the 4th instrumental value respectively, and a jth low power base station needs a _{j, 0}and b _{j, 0}send to macro base station.When there is K low power base station, each low power base station in K low power base station all needs calculate the third and fourth instrumental value for macro base station according to above formula (15) and the third and fourth instrumental value calculated is sent to macro base station.

According to a specific embodiment, when determining the value of above formula (8) and (9), at macro base station and each low power base station place, utilize the corresponding first, second, third and fourth instrumental value exchanged, corresponding first and second interference temperatures upgraded by following formula in the first and second interference temperature set:

$\begin{array}{c}{\mathrm{\&Gamma;}}_{0,j}^{\&prime;}={\mathrm{\&Gamma;}}_{0,j}+\mathrm{\&delta;}\&CenterDot;(a_{j,0}-b_{0,j})\\ {\mathrm{\&Gamma;}}_{j,0}^{\&prime;}={\mathrm{\&Gamma;}}_{j,0}+\mathrm{\&delta;}\&CenterDot;(a_{0,j}-b_{j,0})\end{array}---\left(16\right)$

Wherein δ represents step-length.According to concrete application scenarios, δ can be set to less integer value, such as 10 ^-3.

According to the embodiment of the present invention, method 100 comprises further:

(e) compare each first interference temperature after renewal respectively and upgrade before each first interference temperature and each second interference temperature before each second interference temperature after upgrading and renewal; And

F () is all less than or equal to predetermined value in response to the absolute value of the difference between each second interference temperature after the absolute value of the difference between each first interference temperature after described renewal and each first interference temperature before described renewal and described renewal and each second interference temperature before described renewal, determine whether to meet to make the maximized described predetermined condition of the efficiency of described heterogeneous network.Described predetermined value is such as 10 ^-3.

According to the embodiment of the present invention, method 100 comprises further:

G () makes the maximized described predetermined condition of the efficiency of described heterogeneous network in response to determining not meet, then determine the summation of the summation of the speed of described macro base station and each described low power base station and the transmitting power of described macro base station and each described low power base station; And

H () upgrades the described set-point of the efficiency of described heterogeneous network with the ratio of the described summation of the described summation of speed and transmitting power; And

(i) utilize the described set-point of the efficiency of the described heterogeneous network after upgrading, perform above-mentioned steps S101 and S102 iteratively, until meet described predetermined condition.

According to the embodiment of the present invention, respective speed and transmitting power can be sent to macro base station by each low power base station, in the described summation of macro base station place computation rate and the described summation of transmitting power, upgrade the described set-point of the efficiency of described heterogeneous network with the ratio of two summations, and the set-point of the efficiency after renewal is broadcast to each low power base station.

According to the embodiment of the present invention, if the absolute value of the difference between each first interference temperature before each first interference temperature after described renewal and described renewal is greater than predetermined value, then redefine the Lagrangian non-negative factor lambda associated with formula (3) at macro base station place _{j, 0}and λ _0,0initial value.Afterwards, at macro base station place, based on the set-point of the efficiency of each first interference temperature after the channel information of macro base station, described renewal and described heterogeneous network, above formula (3) is utilized to recalculate the candidate beam forming vectors of macro base station.Subsequently, based on candidate beam forming vectors determination above formula (8) of recalculated macro base station value and judge whether to meet | Δ F ₀|≤ε.If do not met, then above formula (10) and (11) are utilized to solve above formula (3) iteratively, until find satisfied | Δ F ₀| the best λ of≤ε _{j, 0}and λ _0,0.Afterwards, the above-mentioned step (above-mentioned steps (a)) determining the first and second instrumental value set is repeated.

Similarly, if the absolute value of the difference between each second interference temperature before each second interference temperature after described renewal and described renewal is greater than predetermined value, then the Lagrangian non-negative factor lambda associated with formula (4) is redefined at each low power base station place _{0, i}and λ _i,iinitial value.Afterwards, at each low power base station place, based on the set-point of the efficiency of corresponding second interference temperature after the channel information of each low power base station, described renewal and described heterogeneous network, above formula (4) is utilized to recalculate the candidate beam forming vectors of corresponding low power base station.Subsequently, based on candidate beam forming vectors determination above formula (9) of recalculated corresponding low power base station value and judge whether to meet | Δ F _i|≤ε.If do not met, then above formula (12) and (13) are utilized to solve above formula (4) iteratively, until find satisfied | Δ F _i| the best λ of≤ε _{0, i}and λ _i,i.Afterwards, the step (above-mentioned steps (b)) of above-mentioned corresponding third and fourth instrumental value determined in the third and fourth instrumental value set is repeated.

Next, above-mentioned steps (c) is repeated extremely (i).

Finally, in step S103, by the respective optimum beam forming vectors making the maximized beamforming vector of the efficiency of heterogeneous network be defined as macro base station and each low power base station.

According to the second aspect of embodiment of the present invention, provide a kind of device for carrying out distributed beamforming in heterogeneous network.Described heterogeneous network comprises macro base station and at least one low power base station.Fig. 2 shows the block diagram of the device 200 for carrying out distributed beamforming in heterogeneous network according to embodiment of the present invention.

As shown in Figure 2, device 200 comprises: computing unit 201, be configured to each low power base station place in described macro base station and at least one low power base station described, set-point respectively based on the efficiency of respective channel information, interference temperature and described heterogeneous network calculates respective candidate beam forming vectors, and wherein said interference temperature indicates the interference between described macro base station and each described low power base station; Judging unit 202, is configured to determine whether to meet the maximized predetermined condition of described efficiency making described heterogeneous network based on described candidate beam forming vectors; And determining unit 203, being configured in response to meeting described predetermined condition, described candidate beam forming vectors being defined as described macro base station and each described low power base station optimum beam forming vectors separately.

In the exemplary embodiment, described interference temperature comprises the first interference temperature set and the second interference temperature set, corresponding low power base station in each first interference temperature instruction at least one low power base station described in described first interference temperature set is to the interference of the user of described macro base station, and each second interference temperature in described second interference temperature set indicates described macro base station to the interference of the user of the corresponding low power base station at least one low power base station described; And wherein computing unit 201 comprises: the first computing unit, be configured to the described set-point of the efficiency based on the channel information of described macro base station, the summation of each described first interference temperature, each described second interference temperature and described heterogeneous network, calculate the candidate beam forming vectors of described macro base station.

In the exemplary embodiment, device 200 comprises further: the first judging unit, is configured to determine whether to meet the first predetermined condition that the efficiency of described macro base station is optimized based on the candidate beam forming vectors of described macro base station.

In the exemplary embodiment, device 200 comprises further: the first determining unit, is configured to, in response to meeting described first predetermined condition, determine the first instrumental value set and the second instrumental value set at described macro base station place; Corresponding first instrumental value in wherein said first instrumental value set is arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, and corresponding second instrumental value in described second instrumental value set is arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set.

In the exemplary embodiment, computing unit 201 comprises: the second computing unit, be configured to the described set-point of the efficiency based on corresponding first interference temperature in the channel information of the corresponding low power base station at least one low power base station described, described first interference temperature set, corresponding second interference temperature in described second interference temperature set and described heterogeneous network, calculate the candidate beam forming vectors of described corresponding low power base station.

In the exemplary embodiment, device 200 comprises further: the second judging unit, be configured to the candidate beam forming vectors based at least one low power base station described, determine whether to meet the second predetermined condition set that the efficiency of at least one low power base station described is optimized.

In the exemplary embodiment, device 200 comprises further: the second determining unit, be configured to corresponding second predetermined condition in response to meeting in described second predetermined condition set, the corresponding low power base station place at least one low power base station described determines corresponding 3rd instrumental value in the 3rd instrumental value set and corresponding 4th instrumental value in the 4th instrumental value set; Corresponding 3rd instrumental value in wherein said 3rd instrumental value set is arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, and corresponding 4th instrumental value in described 4th instrumental value set is arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set.

In the exemplary embodiment, device 200 comprises further: crosspoint, is configured to the corresponding first, second, third and fourth instrumental value exchanged between described macro base station and each described low power base station in the set of described first, second, third and fourth instrumental value; And interference temperature updating block, be configured at described macro base station and each described low power base station place, utilize the corresponding first, second, third and fourth instrumental value exchanged to upgrade corresponding first and second interference temperatures in described first and second interference temperature set.

In the exemplary embodiment, device 200 comprises further: comparing unit, each second interference temperature before being configured to each first interference temperature after comparing renewal respectively and each first interference temperature before upgrading and each second interference temperature after upgrading and upgrading; And wherein said determining unit is configured to each first interference temperature after in response to described renewal is less than or equal to described predetermined value relative to each second interference temperature after the variable quantity of each first interference temperature before described renewal is less than or equal to predetermined value and described renewal relative to the variable quantity of each second interference temperature before described renewal, determines whether to meet and make the maximized described predetermined condition of the efficiency of described heterogeneous network.

In the exemplary embodiment, device 200 comprises further: the 3rd computing unit, being configured to make the maximized described predetermined condition of the efficiency of described heterogeneous network in response to determining not meet, determining the summation of the summation of the speed of described macro base station and each described low power base station and the transmitting power of described macro base station and each described low power base station; And efficiency updating block, be configured to the ratio of the described summation of the described summation of described speed and described transmitting power to upgrade the described set-point of the efficiency of described heterogeneous network.

Fig. 3 and Fig. 4 shows and utilizes comparing between the average efficiency of the heterogeneous network obtained with utilization and speed maximization approach according to the method for the distributed beamforming of embodiment of the present invention.The comparison of Fig. 3 and Fig. 4 is based on following scene: described heterogeneous network comprises a macro base station and 4 RRH, and 4 RRH are all arranged in the overlay area (macrocell) of this macro base station, and macro base station has a user and each RRH also has a user.Fig. 3 diagrammatically illustrates and utilizes respectively according to the method for the distributed beamforming of embodiment of the present invention and and relation between the transmitting power of macrocell that obtains of speed maximization approach and the average efficiency of heterogeneous network.Fig. 4 diagrammatically illustrate utilize respectively according to the method for the distributed beamforming of embodiment of the present invention and with speed maximization approach, the average efficiency of heterogeneous network that obtains when adopting the antenna of different number.

Be appreciated that, more than in conjunction with concrete application scenarios (namely described heterogeneous network comprise a macro base station and multiple low power base station, macro base station there is a user and each low power base station also there is a user and in the negligible situation of interference between each low power base station)) describe and make the maximized predetermined condition of the efficiency of heterogeneous network and the first predetermined condition and the second predetermined condition set, but the present invention is not limited thereto, but different predetermined conditions can be determined according to different application scenarioss.In addition, only give above-mentioned formula (1) for illustrative purposes to (16), but the present invention is not limited thereto.According to concrete application scenarios, those skilled in the art can make appropriate change and/or amendment to above-mentioned formula (1) to (16).

Note, device 200 can be configured to implement the function with reference to described by Fig. 1.Therefore, the feature discussed about method 100 can be applied to the corresponding component of device 200.Further attention, the parts of device 200 can be implemented with hardware, software, firmware and/or any combination wherein.Such as, the parts of device 200 can be implemented by circuit, processor or any other suitable device respectively.It will be understood by those skilled in the art that above-mentioned example is only illustrative rather than definitive thereof.

In some embodiments of this specification, device 200 comprises at least one processor.At least one processor being applicable to the embodiment of this specification can comprise, such as, and general processor that is known or exploitation in the future and application specific processor.Device 200 comprises at least one memory further.At least one memory can comprise, such as, and semiconductor storage unit, such as, RAM, ROM, EPROM, EEPROM and flush memory device.At least one memory described may be used for the program storing computer executable instructions.Described program seniorly and/or rudimentary can collect or can write the programming language of decipher with any.According to embodiment, described computer executable instructions can be configured to make device 200 at least according in method 200,300 and 400 discussed above, any one performs together with at least one processor.

Based on description above, it will be understood by those skilled in the art that this specification can be implemented with device, method or computer program.Usually, various exemplary embodiment can be implemented with hardware or special circuit, software, logic OR any combination wherein.Such as, some aspects can with hardware implementation, and other aspects can be implemented, although this specification is not limited to this with firmware or the software that can be performed by controller, microprocessor or other calculating devices.Although each side of the exemplary embodiment of this specification can illustrate and be described as block diagram, flow chart or use some other diagrammatic representations, will readily appreciate that, these square frames described herein, device, system, technology or method can be with, as non-limiting examples as, hardware, software, firmware, special circuit or logic, common hardware or controller or other calculating devices or some combinations are wherein implemented.

Various square frames shown in Fig. 1 can be regarded as method step, and/or are regarded as the operation that produced by the operation of computer program code, and/or are regarded as multiple coupled logic circuit elements of being constructed to perform correlation function.At least some aspect of the exemplary embodiment of this specification can be put into practice with various parts such as integrated circuit (IC) chip and module, and the exemplary embodiment of this specification can with can be configured to according to the exemplary embodiment of this specification operate be embodied as integrated circuit, the device of FPGA or ASIC realizes.

Although this specification comprises much concrete implementation detail, these should not be interpreted as the restriction to the scope that the scope of any specification maybe may require, but with the feature interpretation of the specific embodiment specific to particular illustrative.Some feature described in the context of separation embodiment in this specification can also combine enforcement in single embodiment.Otherwise the various feature described in the context of single embodiment can also discretely with multiple embodiment or with the incompatible enforcement of any suitable subgroup.In addition, although may describe feature as above with some combinations and even initial so requirement, but one or more features of required combination can be removed in some cases from this combination, the variation of sub-portfolio or sub-portfolio and required combination can be led.

Similarly, although operation is that this not should be understood to specifically sequentially to describe in these figure, in order to the result realizing expecting requires that these operations perform or all operations shown in execution with shown particular order or with continuous print order.In some cases, multitask and parallel processing may be favourable.In addition, in above-described embodiment, the separation of various system unit not should be understood to require this separation in whole embodiment, and should be appreciated that described program element and system generally can be integrated into single software product or be encapsulated as multiple software product.

When reading together with these accompanying drawings, in view of description above, before the various amendments of exemplary embodiment of this specification, distortion, may become apparent for technical staff in association area.Any and whole amendments will fall in the scope of the unrestricted of this specification and exemplary embodiment.In addition, after the instruction shown in the description benefited from above and relevant drawings, in the field belonging to these embodiments of this specification, technical staff can expect other embodiments of this specification of setting forth here.

Therefore, should be appreciated that the embodiment of this specification is not limited to disclosed specific embodiment, and amendment and the expection of other embodiments will comprise within the scope of the appended claims.Although be used herein concrete term, they only use by general and descriptive meaning and are not for restriction.

Claims (21)

1., for carrying out a method for distributed beamforming in heterogeneous network, described heterogeneous network comprises macro base station and at least one low power base station, and described method comprises:

S1: at described macro base station and each described low power base station place, respectively based on the set-point of the efficiency of respective channel information, interference temperature and described heterogeneous network, calculate respective candidate beam forming vectors, wherein said interference temperature indicates the interference between described macro base station and each described low power base station;

S2: based on described candidate beam forming vectors, determines whether to meet the maximized predetermined condition of described efficiency making described heterogeneous network; And

S3: in response to meeting described predetermined condition, is defined as described macro base station and each described low power base station optimum beam forming vectors separately by described candidate beam forming vectors.

2. method according to claim 1, wherein said interference temperature comprises the first interference temperature set and the second interference temperature set, corresponding low power base station in each first interference temperature instruction at least one low power base station described in described first interference temperature set is to the interference of the user of described macro base station, and each second interference temperature in described second interference temperature set indicates described macro base station to the interference of the user of the corresponding low power base station at least one low power base station described; And

Wherein calculate described candidate beam forming vectors to comprise:

Based on the described set-point of the efficiency of the channel information of described macro base station, the summation of each described first interference temperature, each described second interference temperature and described heterogeneous network, calculate the candidate beam forming vectors of described macro base station.

3. method according to claim 2, comprises further:

Candidate beam forming vectors based on described macro base station determines whether to meet the first predetermined condition that the efficiency of described macro base station is optimized.

4. method according to claim 3, comprises further:

In response to meeting described first predetermined condition, determine the first instrumental value set and the second instrumental value set at described macro base station place;

Corresponding first instrumental value in wherein said first instrumental value set is arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, and corresponding second instrumental value in described second instrumental value set is arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set.

5. method according to claim 4, wherein calculates described candidate beam forming vectors and comprises:

Based on the described set-point of the efficiency of corresponding first interference temperature in the channel information of the corresponding low power base station at least one low power base station described, described first interference temperature set, corresponding second interference temperature in described second interference temperature set and described heterogeneous network, calculate the candidate beam forming vectors of described corresponding low power base station.

6. method according to claim 5, comprises further:

Based on the candidate beam forming vectors of at least one low power base station described, determine whether to meet the second predetermined condition set that the efficiency of at least one low power base station described is optimized.

7. method according to claim 6, comprises further:

In response to corresponding second predetermined condition met in described second predetermined condition set, the corresponding low power base station place at least one low power base station described determines corresponding 3rd instrumental value in the 3rd instrumental value set and corresponding 4th instrumental value in the 4th instrumental value set;

Corresponding 3rd instrumental value in wherein said 3rd instrumental value set is arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, and corresponding 4th instrumental value in described 4th instrumental value set is arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set.

8. method according to claim 7, comprises further:

The corresponding first, second, third and fourth instrumental value in the set of described first, second, third and fourth instrumental value is exchanged between described macro base station and each described low power base station; And

At described macro base station and each described low power base station place, utilize the corresponding first, second, third and fourth instrumental value exchanged to upgrade corresponding first and second interference temperatures in described first and second interference temperature set.

9. method according to claim 8, comprises further:

Each second interference temperature before comparing each first interference temperature after renewal and each first interference temperature before upgrading and each second interference temperature after upgrading respectively and upgrading; And

Be less than or equal to described predetermined value relative to each second interference temperature after the variable quantity of each first interference temperature before described renewal is less than or equal to predetermined value and described renewal relative to the variable quantity of each second interference temperature before described renewal in response to each first interference temperature after described renewal, determine whether to meet and make the maximized described predetermined condition of the efficiency of described heterogeneous network.

10. the method according to claim 1 or 9, comprises further:

Making the maximized described predetermined condition of the efficiency of described heterogeneous network in response to determining not meet, determining the summation of the summation of the speed of described macro base station and each described low power base station and the transmitting power of described macro base station and each described low power base station; And

The described set-point of the efficiency of described heterogeneous network is upgraded with the ratio of the described summation of the described summation of described speed and described transmitting power.

11. methods according to claim 10, comprise further:

Utilize the described set-point of the efficiency of the described heterogeneous network after upgrading, perform described step S1 and S2 iteratively, until meet described predetermined condition.

12. 1 kinds for carrying out the device of distributed beamforming in heterogeneous network, described heterogeneous network comprises macro base station and at least one low power base station, and described device comprises:

Computing unit, be configured at described macro base station and each described low power base station place, respectively based on the set-point of the efficiency of respective channel information, interference temperature and described heterogeneous network, calculate respective candidate beam forming vectors, wherein said interference temperature indicates the interference between described macro base station and each described low power base station;

Judging unit, is configured to based on described candidate beam forming vectors, determines whether to meet the maximized predetermined condition of described efficiency making described heterogeneous network; And

Determining unit, is configured in response to meeting described predetermined condition, described candidate beam forming vectors is defined as described macro base station and each described low power base station optimum beam forming vectors separately.

13. devices according to claim 12, wherein said interference temperature comprises the first interference temperature set and the second interference temperature set, corresponding low power base station in each first interference temperature instruction at least one low power base station described in described first interference temperature set is to the interference of the user of described macro base station, and each second interference temperature in described second interference temperature set indicates described macro base station to the interference of the user of the corresponding low power base station at least one low power base station described; And

Wherein said computing unit comprises:

First computing unit, be configured to the described set-point of the efficiency based on the channel information of described macro base station, the summation of each described first interference temperature, each described second interference temperature and described heterogeneous network, calculate the candidate beam forming vectors of described macro base station.

14. devices according to claim 13, comprise further:

First judging unit, is configured to determine whether to meet the first predetermined condition that the efficiency of described macro base station is optimized based on the candidate beam forming vectors of described macro base station.

15. devices according to claim 14, comprise further:

First determining unit, is configured to, in response to meeting described first predetermined condition, determine the first instrumental value set and the second instrumental value set at described macro base station place;

Corresponding first instrumental value in wherein said first instrumental value set is arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, and corresponding second instrumental value in described second instrumental value set is arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set.

16. devices according to claim 15, wherein said computing unit comprises:

Second computing unit, be configured to the described set-point of the efficiency based on corresponding first interference temperature in the channel information of the corresponding low power base station at least one low power base station described, described first interference temperature set, corresponding second interference temperature in described second interference temperature set and described heterogeneous network, calculate the candidate beam forming vectors of described corresponding low power base station.

17. devices according to claim 16, comprise further:

Second judging unit, is configured to the candidate beam forming vectors based at least one low power base station described, determines whether to meet the second predetermined condition set that the efficiency of at least one low power base station described is optimized.

18. devices according to claim 17, comprise further:

Second determining unit, be configured to corresponding second predetermined condition in response to meeting in described second predetermined condition set, the corresponding low power base station place at least one low power base station described determines corresponding 3rd instrumental value in the 3rd instrumental value set and corresponding 4th instrumental value in the 4th instrumental value set;

Corresponding 3rd instrumental value in wherein said 3rd instrumental value set is arranged to the variable quantity of corresponding first interference temperature calculated in described first interference temperature set, and corresponding 4th instrumental value in described 4th instrumental value set is arranged to the variable quantity of corresponding second interference temperature calculated in described second interference temperature set.

19. devices according to claim 18, comprise further:

Crosspoint, is configured to the corresponding first, second, third and fourth instrumental value exchanged between described macro base station and each described low power base station in the set of described first, second, third and fourth instrumental value; And

Interference temperature updating block, be configured at described macro base station and each described low power base station place, utilize the corresponding first, second, third and fourth instrumental value exchanged to upgrade corresponding first and second interference temperatures in described first and second interference temperature set.

20. devices according to claim 19, comprise further:

Comparing unit, each second interference temperature before being configured to each first interference temperature after comparing renewal respectively and each first interference temperature before upgrading and each second interference temperature after upgrading and upgrading; And

Wherein said determining unit is configured to each first interference temperature after in response to described renewal and is less than or equal to described predetermined value relative to each second interference temperature after the variable quantity of each first interference temperature before described renewal is less than or equal to predetermined value and described renewal relative to the variable quantity of each second interference temperature before described renewal, determines whether to meet to make the maximized described predetermined condition of the efficiency of described heterogeneous network.

21. devices according to claim 12 or 20, comprise further:

3rd computing unit, being configured to make the maximized described predetermined condition of the efficiency of described heterogeneous network in response to determining not meet, determining the summation of the summation of the speed of described macro base station and each described low power base station and the transmitting power of described macro base station and each described low power base station; And

Efficiency updating block, is configured to the ratio of the described summation of the described summation of described speed and described transmitting power to upgrade the described set-point of the efficiency of described heterogeneous network.