CN101583161B - Cooperative node unit selection method and device - Google Patents

Abstract

The invention provides a cooperative node unit selection method and a device, relating to the wireless communication field which adopts multi-node unit joint transmission, wherein, the cooperative node unit selection method comprises the following steps: acquiring signal status information of the candidate node unit; selecting a single or a plurality of performance parameters to serve as performance indexes from the signal status information; sorting the candidate nodes directly according to the single performance parameter if the single performance parameter is selected as the performance index; calculating the comprehensive performance index of the candidate node unit according to a plurality of performance parameters and sorting the candidate nodes according to the comprehensive performance index of the candidate node unit if a plurality of performance parameters are selected as performance indexes; selecting the cooperative node unit from the candidate node units according to the sorting results. The invention not only optimizes the selection mode of the cooperative transmission node unit and improves the quality of services provided to users, but also improves system performance.

Description

Cooperative node unit selection method and device

Technical field

The present invention relates to adopt the wireless communication field of multinode unit associations transmission, particularly relate to a kind of cooperative node unit selection method and device.

Background technology

In order to satisfy the future communications system to improving an urgent demand of cell-edge performance, the cooperative multipoint transmission technology and under the coordinated multipoint transmission framework selection to the node unit that carries out cooperation transmission be subject to extensive concern.In the engineering practice of cooperative multipoint transmission technology, the evaluation index that affects quick node unit selection is varied, and wherein most critical is the technical parameter relevant with user and estate performance.User's application scenarios shows as the current business demand of user, comprises session service, streaming media service, interaction service, the trafficwises such as background business.User's actual demand shows as the user according to current service conditions, and the performance boost scope that require to obtain namely by the reshuffling of resource, can make user's performance index be improved, and support required business demand.This is objectively requiring and must fully carry out the selection of cooperative node in conjunction with each performance parameter of multiclass.

Yet, existing node selection scheme or based on the geographical position, or based on pilot frequency intensity, the selection of these single parameter is so that selected node unit is difficult to satisfy user's business demand.In addition, existing node unit selection scheme or increase because its complexity causes overhead, or select improperly because of node, restricted the advantage of cooperative multipoint transmission technology.

Summary of the invention

The objective of the invention is to propose a kind of cooperative node unit selection method and device, for subscriber equipment provides more excellent selection cooperative node element method.

For achieving the above object, the invention provides a kind of cooperative node unit selection method, comprising: the signal condition information of obtaining the both candidate nodes unit; Single or multiple performance parameter in the selection signal condition information is as performance index; For selecting the single performance parameter as performance index, then directly according to described single performance parameter described both candidate nodes is sorted; For selecting a plurality of performance parameters as performance index, then calculate the integrated performance index of described both candidate nodes unit according to described a plurality of performance parameters, and according to the integrated performance index of described both candidate nodes unit described both candidate nodes is sorted; With from described both candidate nodes unit, select the cooperative node unit according to ranking results.

Further, the integrated performance index of the described both candidate nodes of described calculating unit comprises: the performance parameter of described both candidate nodes unit is mapped in the public scaling interval scope according to good and bad degree; With according to described public scaling interval scope, utilize Multipurpose Optimal Method to calculate the described integrated performance index of described both candidate nodes unit.

Further, the described described integrated performance index that utilizes Multipurpose Optimal Method to calculate described both candidate nodes unit comprises: according to described public scaling interval scope, calculate the standard deviation of described performance parameter; According to described standard deviation, set up and estimate matrix, and check the consistency of described evaluation matrix; When satisfying condition for consistence, according to the comprehensive weight of the described performance parameter of described evaluation matrix computations; With the described integrated performance index that calculates described both candidate nodes unit according to described comprehensive weight and described degree of membership.

According to one embodiment of present invention, cooperative node unit selection method also is included in the process of cooperation transmission, relatively the performance index of before the cooperation transmission and cooperative node unit described in the cooperation transmission; During with performance index before the performance index of described cooperative node unit in cooperation are not better than cooperating, reselect the node unit that participates in cooperation transmission.

Further, the performance index of the described cooperative node unit before and after the described relatively cooperation comprise: utility expression formula U ⁺≤ (1+ β) U ^-Performance index to the described cooperative node unit before and after the cooperation compare, and when satisfying performance expression, reselect the node unit that participates in cooperation transmission, wherein U ⁺Be the performance expression after the cooperation, U ^-Be the performance expression before cooperating, β is cost factor.

Further, the described signal condition information of obtaining the both candidate nodes unit comprises: the described signal condition information of obtaining the described both candidate nodes unit of subscriber equipment measurement and feedback; Obtain the described signal condition information that the subscriber equipment that utilizes up-downgoing channel relation to calculate of described both candidate nodes unit feedback receives; Or obtain the current signal condition information in described both candidate nodes unit of returning described both candidate nodes unit.

Further, describedly from described both candidate nodes unit, select the cooperative node unit to comprise according to ranking results: to be that described subscriber equipment is selected the cooperative node unit by the main controlled node unit according to the described signal condition information of subscriber equipment feedback and the current system situation of described both candidate nodes unit; The performance situation that the described both candidate nodes unit that described subscriber equipment is informed according to described main controlled node unit is current and the described cooperative node of oneself state Information Selection unit; Or the performance situation of synthetic user equipment and network, select the cooperative node unit by described main controlled node unit or described subscriber equipment.

According to one embodiment of present invention, cooperative node unit selection method also comprises: the cooperative node unit in elected is during without idling-resource, and subscriber equipment enters waiting list, waits for reselecting access node; The quantity of current cooperative node unit reaches the service node element number that system allows, and in the time of still can not satisfying the transmission rate request of subscriber equipment, subscriber equipment enters waiting list, waits for again access node unit; Or when the cooperative node unit of newly choosing and when not having common resource between the existing cooperative node unit before, subscriber equipment enters waiting list, waits for again access node unit.

For achieving the above object, the present invention also provides a kind of cooperative node unit choice device, comprising: information acquisition device, for the signal condition information of obtaining the both candidate nodes unit; Parameter selection apparatus is used for selecting the single or multiple performance parameter of signal condition information as performance index; Single performance parameter marshalling device is used for then directly according to described single performance parameter described both candidate nodes being sorted when selecting the single performance parameter as performance index; The integrated performance index calculation element when being used for an elected majority performance parameter as performance index, calculates the integrated performance index of described both candidate nodes unit according to described a plurality of performance parameters; The integrated performance index collator, the integrated performance index according to described both candidate nodes unit when being used for an elected majority performance parameter as performance index sorts to described both candidate nodes; With the node choice device, be used for selecting the cooperative node unit from described both candidate nodes unit according to ranking results.

Further, described integrated performance index calculation element comprises: mapping device is used for the performance parameter of described both candidate nodes unit is mapped in the public scaling interval scope according to good and bad degree; With the multiple-objection optimization device, be used for according to described public scaling interval scope, calculate the described integrated performance index of described both candidate nodes unit.

According to one embodiment of present invention, cooperative node unit choice device also comprises: comparison means is used for the process in cooperation transmission, relatively the performance index of before the cooperation transmission and cooperative node unit described in the cooperation transmission; And gravity concentration apparatus, be used for when the performance index of described cooperative node unit before the performance index of cooperation are not better than cooperating, reselecting the node unit of participation cooperation transmission.

Based on technique scheme, the node unit that the present invention is directed in the cooperative transmission system is selected problem, demand by considering the user and the various signal condition information of candidate's cooperative node, adopt the multi-target parameter optimizing criterion, the node unit that is each candidate according to unified scaling interval of measuring arranges priority, is that subscriber equipment is selected the cooperative node unit on this basis.Like this, not only optimize the selection mode of cooperative transmission node unit, the service quality that provides for the user has been provided, also improved systematic function.

Description of drawings

Accompanying drawing described herein is used to provide further explanation of the present invention, consists of a part of the present invention.Illustrative examples of the present invention and explanation thereof only are used for explaining the present invention, but do not consist of improper restriction of the present invention.In the accompanying drawings:

Fig. 1 is the schematic diagram according to the application scenarios of the embodiment of the invention.

Fig. 2 is the flow chart according to the cooperative node unit selection method of the embodiment of the invention.

Fig. 3 unifies the scale schematic diagram according to many performance parameters of the embodiment of the invention.

Fig. 4 is the flow chart according to many performance parameters Hierarchy Analysis Method of the embodiment of the invention.

Fig. 5 is the schematic diagram according to the cooperative node unit choice device of the embodiment of the invention.

Embodiment

With reference to the accompanying drawings the present invention is described in more detail, exemplary embodiment of the present invention wherein is described.

In order to satisfy LTE-Advanced (Long Term Evolution, Long Term Evolution) system to the requirement of cell-edge performance, the 3GPP tissue has proposed the cooperative multipoint transmission technology.The cooperative multipoint transmission technology can be divided into two classes: one is cooperative scheduling and beam shaping, and it two is Combined Treatment.Wherein cooperative scheduling refers to that cooperation cell carries out cooperative scheduling based on the channel information of sharing to user, Radio Resource, wave beam etc., and then suppresses presence of intercell interference; Combined Treatment refers to a plurality of cooperation cell sharing users data messages and uses identical resource joint to provide service to the user, thus the performance of raising Cell Edge User.In concrete scene, eNB (base station) and UE (userequipment, subscriber equipment) transmit diversity by cooperative scheduling, and the technology such as precoding is carried out cooperation transmission.

Fig. 1 is the schematic diagram according to the application scenarios 100 of the embodiment of the invention.As shown in Figure 1, the node unit in the cooperative multipoint transmission comprises BBU (based band unit, baseband processing unit) and RRU (remote radio unit, far-end radio-cell) two parts.Wherein, BBU control and processing are also carried out the mutual of the information such as part or all of User Status, signaling, channel simultaneously by user profile and the data flow of RRU feedback between the different B BU.Each BBU is connected with each other by key optical fiber, consists of the ring-type grid in the cooperation transmission, is called the one-level node unit, is denoted as extra small district.In addition, each BBU directly links to each other by optical fiber with several RRU.Correspondingly, this BBU can be described as father node, and single RRU can be described as child node, and all father nodes and child node formation tree root shape diffusing structure, and each different RRU is referred to as the two-level node unit in the cooperation transmission.RRU is responsible for receiving and processing from the data message of UE and the interworking of carrying out the part signaling.The wireless signal of each RRU unit covers independently geographic area, consists of secondary residential quarter separately, is denoted as Microcell.

For the process nature of user selection cooperation cell be exactly the suitable cooperative node unit of How to choose be the process of user's service.As shown in Figure 1, suppose that subscriber equipment (UE1) needs to select RRU to carry out cooperative multipoint transmission.Subscriber equipment (UE1) distributing on every side RRU1, RRU2, RRU3, RRU5.In one embodiment, can take the current RRU that is just connecting of UE1 as main controlled node, be master control RRU such as RRU3.So, RRU1, RRU2, RRU5 just can consist of the both candidate nodes collection.RRU3 or UE1 can concentrate from both candidate nodes and select cooperation RRU.

Fig. 2 is the flow chart according to the cooperative node unit selection method 200 of the embodiment of the invention.In one embodiment, when need to selecting node unit to carry out cooperative multipoint transmission, subscriber equipment can select according to node unit selection method 200.Wherein, node unit can be RRU, also can be other node units that provide air interface transmission to serve for subscriber equipment such as eNB.

In step 202, obtain the signal condition information of both candidate nodes unit.Subscriber equipment is at first initiated the cooperative node unit to main controlled node and is selected request, and starts user's operation result of measurement unit.Present node and candidate's cooperative node are measured according to the instruction of main controlled node controller in user's operation result of measurement unit.Subscriber equipment or main controlled node unit can obtain the signal condition information from each candidate's node unit accordingly.In one embodiment, the main controlled node unit can get access to by subscriber equipment the signal condition information of each both candidate nodes unit according to the measurement result of the signal condition information feedback of each the both candidate nodes unit that measures.In another embodiment, each both candidate nodes unit can utilize up-downgoing channel relation to estimate to calculate the signal condition information that subscriber equipment receives.The main controlled node unit can get access to by the feedback information of each both candidate nodes unit the signal condition information of each both candidate nodes unit.In a further embodiment, each both candidate nodes unit can return to the main controlled node unit with current system resource state.

Wherein, signal condition information can be for the form of expression of all kinds of performance index parameters in the communication system, such as transmission rate, the error rate, Block Error Rate, packet loss, blocking rate, cutting off rate, throughput, time delay, Signal to Interference plus Noise Ratio, pilot signal strength, channel status indication (CSI), channel quality indication (CQI), power, the number of channel, the contents such as traffic load.

In step 204, the single or multiple performance parameter in the selection signal condition information is as performance index.In one embodiment, for the both candidate nodes unit, can be only with single performance parameter as the investigation object of selecting it.In another embodiment, also can be with a plurality of performance parameters of both candidate nodes unit investigation object as its good and bad degree of integrated survey.

For selecting a plurality of performance parameters as performance index, in step 206, according to the integrated performance index of a plurality of performance parameter calculated candidate node units of both candidate nodes unit.According to each both candidate nodes cell signal state information, the main controlled node unit can calculate respectively according to the multi-target parameter optimizing criterion integrated performance index of each both candidate nodes.The multi-target parameter optimizing criterion is that all kinds of actual performance parameters are mapped in the public scaling interval scope according to good and bad degree, unifies shown in the scale schematic diagram 300 such as many performance parameters among Fig. 3.According to the multi-target parameter optimizing criterion, can calculate the mapping range value after unification is measured, obtain the integrated performance index value of certain node by Multipurpose Optimal Method.

The basic calculating step of Multipurpose Optimal Method is specially: the standard deviation of calculating the various performance parameters after shining upon; Set up and estimate matrix, and the consistency of test evaluation matrix; The comprehensive weight of iterative computation various performance parameters; Computing node unit comprehensive performance index size.

Multipurpose Optimal Method comprises the optimized algorithms such as analytic hierarchy process (AHP), Fuzzy AHP, PCA, gray analysis method, recursive iteration optimization, comprises that also numerical values recited relatively waits universal method.

For example, Fuzzy AHP is introduced the non-structural decision-making Fuzzy Set Analysis in analytic hierarchy process (AHP) theoretical, improved the shortcomings such as the strong and difficult check of consistency of AHP judgement matrix structure subjectivity, the step of all the other calculation procedures and analytic hierarchy process (AHP) is basic identical.Principal component analysis in the PCA also claims principal component analysis, be intended to utilize the thought of dimensionality reduction, adopt the method for mathematic(al) manipulation that many indexs are converted into a few overall target, one group of given correlated variables is changed into another by linear transformation organizes incoherent variable, and the variable that these are new according to variance successively decrease successively arranged sequentially.The Main Analysis step of PCA comprises: data normalization; Calculate correlation matrix; The orthogonal transform of amount to be analyzed; Computation of characteristic values, and calculate each characteristic value characteristic of correspondence vector; Calculate the shared proportion of each characteristic value; Judge according to characteristic root and characteristic vector analysis thereof.The numerical values recited comparative approach comprise all kinds of performance parameters size, just, strong and weak direct comparison, the numerical values recited of Signal to Interference plus Noise Ratio for example, the size of throughput, the height of blocking rate, the power of pilot signal etc.

What specify is that when only considering performance index, multi-objective optimization algorithm can develop into the single goal optimized algorithm, comprises that numerical values recited relatively waits universal method.

In one embodiment, the property indices { s of subscriber equipment and node unit ₁, s ₂... s _nCan be divided into different ranks by the good and bad degree of QoE (quality of experience, Quality of experience), and according to the differential unified scaling interval＜a that is mapped as correspondence that does not wait ₁, b ₁,＜a ₁, b ₂...＜a _n, b _n, then the actual value with indices is mapped in the corresponding scaling interval, and calculates corresponding degree of membership, i.e. interval value after the mapping.

J the evaluation index span of for example, establishing i node unit is V _Ij, and V _Ij=＜a _Ij, b _Ij.Wherein＜a _Ij, b _IjOne of be the open interval, the closed interval, or half-open intervals.As shown in table 1, in the present embodiment, the property indices of node unit is divided into Pyatyi by the good and bad degree of QoE, be one-level, secondary, three grades, level Four, Pyatyi, and differential (in 1 to 9) that foundation does not wait are divided into corresponding scaling interval:＜7.5,9 〉,＜6,7.5 〉,＜4,6 〉,＜2.5,4 〉,＜1,2.5 〉.In addition, according to the empirical value scope of the good and bad degree of engineering small area property indices, each empirical value scope is divided in the corresponding QoE interval range.

Table 1

Consider that user self because the difference of the business attention degree to the joint behavior parameter differs, can be weighted the performance parameter of each node.Table 2 is depicted as the indices actual performance parameter value of each node unit, and each performance parameter is got identical weight coefficient 1 under the initial condition.

Actual parameter	Weight coefficient	Node 1	Node 2	Node 3
					Pilot signal strength	1	-87	-70	-100
Available horsepower	1	5.5	0.47	3.5
					Available channel resources	1	5	10	15
Traffic load	1	0.31	0.61	0.10
					Sir value	1	-5.7	-13	-15
Blocking rate	1	0.40	0.70	0.30
					Average throughput	1	145.8	362.5	229
Block error rate BLER	1	0.04	0.02	0.1

Table 2

On each listed node actual performance values basis of table 2, question blank 1 finds with it corresponding performance evaluation mapping range.By mapping relations one by one, actual value is converted to actual interval range, as shown in table 3.

Actual parameter	Weight coefficient	Node 1	Node 2	Node 3
					Pilot signal strength	1	<6，7.5>	<7.5，9>	<2.5，4>
Available horsepower	1	<6，7.5>	<1，2.5>	<4，6>
					Available channel resources	1	<4，6>	<6，7.5>	<7.5，9>
Traffic load	1	<7.5，9>	<6，7.5>	<7.5，9>
					Sir value	1	<7.5，9>	<4，6>	<2.5，4>
Blocking rate	1	<6，7.5>	<2.5，4>	<6，7.5>
					Average throughput	1	<1，2.5>	<7.5，9>	<2.5，4>
Block error rate BLER	1	<4，6>	<6，7.5>	<1，2.5>

Table 3

On the basis of above-mentioned analysis, adopt Multipurpose Optimal Method to determine the integrated performance index size.For example, the analytic hierarchy process (AHP) in the Multipurpose Optimal Method, during its specific descriptions vide infra for the description of Fig. 4.

In step 208, when the comprehensive many performance parameters of needs, the integrated performance index according to the both candidate nodes unit sorts to both candidate nodes, perhaps when needs single performance parameter, according to the single performance parameter both candidate nodes is sorted.In one embodiment, when needs consider many performance parameters, each node sequencing that the main controlled node unit is concentrated for both candidate nodes according to the integrated performance index size of each both candidate nodes.After the set of the integrated performance index value that obtains all both candidate nodes, the main controlled node unit can be with the element in the set according to from big to small successively ordering of numerical values recited.Numerical value is larger, and both candidate nodes is more excellent.

For selecting the single performance parameter as performance index, in step 216, according to the single performance parameter both candidate nodes is sorted.When only considering the single performance parameter, the ordering of node unit arranges priority according to the good and bad degree of single parameter performance in the Candidate Set.Such as, each the node unit pilot signal strength that can User equipment receives is optimized.Pilot signal is stronger, and its degree of priority is higher.The Signal to Interference plus Noise Ratio of each node unit that can User equipment receives is optimized.Signal to Interference plus Noise Ratio is stronger, and its degree of priority is higher.The optimizations such as channel status indication of each node unit that can also User equipment receives.The channel status indication is higher, and its degree of priority is higher.

In step 210, from the both candidate nodes unit, select the cooperative node unit according to ranking results.Main controlled node unit or user select the concentrated node unit of both candidate nodes as the node unit of its cooperation according to ranking results successively, and number progressively increases progressively from single to many.In one embodiment, the main controlled node unit can be that subscriber equipment is selected the cooperative node unit according to the situation of the current system situation (such as load, blocking rate, the performance index such as throughput) of the state information of subscriber equipment feedback and each node unit.In another embodiment, each both candidate nodes current performance situation of subscriber equipment also can be informed in the main controlled node unit, is judged and the node priority order is set by the comprehensive oneself state information of subscriber equipment, removes to select cooperative node by subscriber equipment.In a further embodiment, also can consider subscriber equipment and network both sides' performance situation, select the cooperative node unit by main controlled node unit or subscriber equipment.

After the node unit of having determined cooperation, can be that subscriber equipment carries out cooperative scheduling and Combined Treatment by main controlled node unit and cooperative node unit.Its implementation comprises the transmission methods such as omni-direction transmissions, directional transmission, wave beam forming, precoding.

When performance index of cooperative node unit before the cooperation transmission and in the cooperation transmission relatively in the process of cooperation transmission, performance index before the performance index of cooperative node unit in cooperation are not better than cooperating, reselect the node unit that participates in cooperation transmission.Main controlled node unit in the cooperation transmission process or subscriber equipment can come decision node whether to satisfy user's demand according to the result of calculation of performance expression.If the new node of selecting is in adopting cooperation transmission, its performance expression is better than adopting cooperation transmission performance expression result of calculation before according to calculating, and then this is chosen as current more excellent node unit selection.If the new node of selecting is in adopting cooperation transmission, its result who calculates according to performance expression is worse than or equals and then returns step 206 or 216 before the cooperation transmission, reselects new cooperative node unit.

Performance expression can be the form of expression of all kinds of performance index parameters in the communication system.If U ⁺Be the user performance expression formula after the cooperation, U ^-Be the performance expression before cooperating, β is cost factor;＞expression performance is better than, and≤expression performance is worse than or equals.

U ⁺＞(1+β)U ^- (1)

U ⁺≤(1+β)U ^- (2)

If U ⁺And U ^-Satisfy (1) formula, then this both candidate nodes unit meets the cooperation requirement; If U ⁺And U ^-Satisfy (2) formula, then this both candidate nodes unit does not meet the cooperation requirement.Especially, when getting zero, β represents not consider this moment cost price.

The selection of the performance parameter in the performance expression can be take subscriber equipment index of correlation or network index of correlation as foundation, also can consider subscriber equipment and network both sides, particularly the situation of the current system situation (such as load, blocking rate, throughput etc.) of the state information of subscriber equipment feedback and each node unit is set.

For example, select customer equipment data speed R ^-And R ⁺As the performance comparative parameter.R wherein ^-Be the data rate before the subscriber equipment cooperation, R ⁺Be the data rate after the subscriber equipment cooperation.Obtain formula by specific can the deduction of the parameter of formula (1) and (2)

R ⁺＞(1+β)R ^- (13)

R ⁺≤(1+β)R ^- (14)

If R ^-And R ⁺Satisfy (13) formula, then this subscriber equipment is selected this cooperative node; If R ^-And R ⁺Satisfy (14) formula, then this subscriber equipment need to continue to add new cooperative node unit.

The performance that the value of cost factor and node unit are done before the cooperation afterwards relatively in cooperation is paid relevant, can be the slip of certain system resource, such as the power resource of node, carrier resource, channel resource, load, blocking rate, throughput etc.Particularly, cost factor β value example is as follows:

According to the definition of power slip, cost factor $\mathrm{\β}=\frac{P^{-}-P^{+}}{P^{-}},$ P wherein ^-Be the power of selected node before cooperation, P ⁺Be the power of selected node after cooperation.

According to the definition of carrier wave slip, cost factor $\mathrm{\β}=\frac{N^{-}-N^{+}}{N^{-}},$ N wherein ^-Be the carrier number of selected node before cooperation, N ⁺Be the carrier number of selected node after cooperation.

In addition, if the cooperative node unit of choosing during without idling-resource, subscriber equipment enters waiting list, waits for reselecting access node, namely returns step 202; If the quantity of current cooperative node unit still can not satisfy the transmission rate request of subscriber equipment when reaching the service node element number that system allows, subscriber equipment enters waiting list, waits for again access node unit, namely returns step 202; If the service node unit of newly choosing and when not having common resource between the existing service node unit before, subscriber equipment enters waiting list, waits for again access node unit, namely returns step 202.

What particularly point out is, any mathematics that is based upon on formula (1) and formula (2) basis is replaced or change, its essence still for adopt before the cooperation and adopt cooperation after gain and the form of expression of cost restricting relation, all be included within this patent scope.

Fig. 4 is the flow chart according to many performance parameters Hierarchy Analysis Method 400 of the embodiment of the invention.

In step 402, calculate degree of membership corresponding to each joint behavior parameter.If the degree of membership of j performance index of i node unit (actual value after the mapping) is v _Ij, its numerical value equal between the parameter region of Evaluation: Current index and with this evaluation index in corresponding parameter codomain and ratio, satisfy following formula:

$v_{\mathrm{ij}}=\frac{a_{\mathrm{ij}}+b_{\mathrm{ij}}}{\max [a_{1j},...,a_{\mathrm{nj}}]+\max [b_{1j},...,b_{\mathrm{nj}}]}---\left(3\right)$

In step 404, set up the step analysis matrix.At first calculate the standard deviation of indices degree of membership:

$s_j=\sqrt{\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ij}}-{\stackrel{\‾}{v}}_j)}^2}---\left(4\right)$

According to expression formula (4), can draw s _iExpression formula as follows:

$s_i=\sqrt{\frac{1}{n}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{(v_{\mathrm{ji}}-\stackrel{\‾}{v_i})}^2}$

V wherein _jBe the average of j index of sample, calculate on this basis judgment matrix D=(d _Ij) _{M * n}, wherein:

$d_{\mathrm{ij}}=\frac{s_i}{s_i+s_j}---\left(5\right)$

Calculate the degree of membership in the listed actual value of table 3 interval above and calculate the corresponding performance parameter standard deviation of each node according to (4) formula according to (3) formula, as shown in table 4.

Actual parameter	Node 1	Node 2	Node 3	Standard deviation
					Pilot signal strength	0.818	1.000	0.394	0.2539

Available horsepower	0.818	0.259	0.606	0.2304
					Available channel resources	0.606	0.818	1.000	0.1610
Traffic load	1.000	0.818	1.000	0.0858
					Sir value	1.000	0.606	0.394	0.2511
Blocking rate	0.818	0.394	0.818	0.1999
					Average throughput	0.259	1.000	0.394	0.3222
Block error rate BLER	0.606	0.818	0.259	0.2304

Table 4

According to standard deviation, as follows according to (5) formula Judgement Matricies:

$\left[\begin{array}{cccccccc}0.5& 0.524& 0.612& 0.747& 0.503& 0.560& 0.441& 0.524\\ 0.476& 0.5& 0.589& 0.729& 0.479& 0.535& 0.417& 0.500\\ 0.388& 0.411& 0.5& 0.652& 0.391& 0.446& 0.333& 0.411\\ 0.253& 0.271& 0.348& 0.5& 0.255& 0.300& 0.210& 0.271\\ 0.497& 0.522& 0.609& 0.745& 0.5& 0.557& 0.438& 0.522\\ 0.441& 0.465& 0.554& 0.700& 0.443& 0.5& 0.383& 0.465\\ 0.559& 0.583& 0.667& 0.790& 0.562& 0.617& 0.5& 0.583\\ 0.476& 0.500& 0.589& 0.729& 0.479& 0.535& 0.417& 0.5\end{array}\right]$

In step 406, the consistency of test and judge matrix.Judge according to following formula whether this judgment matrix satisfies the Additive Consistency condition:

$\mathrm{\ρ}=\frac{1}{m(m-1)(m-2)}\underset{i=1}{\overset{m}{\mathrm{\Σ}}}\underset{j=i\≠1}{\overset{m}{\mathrm{\Σ}}}\underset{\stackrel{k=1}{k\≠i,j}}{\overset{m}{\mathrm{\Σ}}}|d_{\mathrm{ij}}-(d_{\mathrm{ik}}+d_{\mathrm{kj}}-\frac{1}{2})|---\left(6\right)$

When ρ＜0.1, think that D has satisfied consistency; Otherwise rule of thumb reach the good and bad Chengdu of performance and readjust D, until satisfy ρ＜0.1.By ρ=0.0026＜0.1 as can be known, this condition for consistence is set up, thereby the judgment matrix that explanation is set up meets the requirements.

In step 408, calculate comprehensive weight.

The primary iteration vector w of judgment matrix is set ⁽⁰⁾

$w^{\left(0\right)}=({\mathrm{\ω}}_1,{\mathrm{\ω}}_2,...,{\mathrm{\ω}}_n)=\frac{1}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{d}_{\mathrm{ij}}}(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{d}_{1j},\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{d}_{2j},...,\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{d}_{\mathrm{nj}})---\left(7\right)$

The beginning iterative process, iterative equation is as follows:

w ^(k+1)＝D·w ^(k) (8)

| ‖ w ^(k+1)‖ _∞-‖ w ^(k)‖ _∞| whether≤ε sets up, wherein

${\left|\right|w^{\left(k\right)}\left|\right|}_{\∞}=\underset{i}{\max }\left|{\mathrm{\ω}}_i^{\left(k\right)}\right|,{\left|\right|w^{(k+1)}\left|\right|}_{\∞}=\underset{i}{\max }\left|{\mathrm{\ω}}_i^{(k+1)}\right|---\left(9\right)$

If be false, press following formula and upgrade the w after the iteration k time ^(k), return again 8)

$w^{\left(k\right)}=\frac{w^{(k+1)}}{{\left|\right|w^{(k+1)}\left|\right|}_{\∞}}=\frac{1}{\underset{i}{\max }\left|{\mathrm{\ω}}_i^{(k+1)}\right|}({\mathrm{\ω}}_1^{(k+1)},{\mathrm{\ω}}_2^{(k+1)},...,{\mathrm{\ω}}_n^{(k+1)})---\left(10\right)$

If set up, to w ^(k+1)Carry out normalization and get w ^(k+1), be the evaluation object comprehensive weight

${\stackrel{\‾}{w}}^{(k+1)}=\frac{w^{(k+1)}}{{\left|\right|w^{(k+1)}\left|\right|}_1}=\frac{1}{\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\left|{\mathrm{\ω}}_i^{(k+1)}\right|}({\mathrm{\ω}}_1^{(k+1)},{\mathrm{\ω}}_2^{(k+1)},...,{\mathrm{\ω}}_n^{(k+1)})$

$=({\stackrel{\‾}{\mathrm{\ω}}}_1^{(k+1)},{\stackrel{\‾}{\mathrm{\ω}}}_2^{(k+1)},...,{\stackrel{\‾}{\mathrm{\ω}}}_n^{(k+1)})---\left(11\right)$

Output w ^(k+1), iteration termination.Weight vectors after the iteration termination is as follows:

w＝[0.904，0.864，0.717，0.482，0.899，0.805，1.000，0.864]

In step 410, calculate integrated performance index.

The integrated performance index f (i) of i node unit equals corresponding comprehensive weight ω _j ^(k+1)With corresponding relative degree of membership v _IjLong-pending, more all summations, expression formula is as follows:

$f\left(i\right)=\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{\stackrel{\‾}{\mathrm{\ω}}}_j^{(k+1)}{v}_{\mathrm{ij}}---\left(12\right)$

Thereby can obtain total integrated performance index collection F={f (1) of all node units, f (2) ..., f (n) }.Element f (i) in the set F is larger, and then i node unit is more excellent.

Fig. 5 is the schematic diagram according to the cooperative node unit choice device 500 of the embodiment of the invention.Cooperative node unit choice device 500 comprises information acquisition device 502, parameter selection apparatus 503, combination property calculation element 504, combination property collator 505, single performance collator 506 and node choice device 508.

Wherein, information acquisition device 502 is used for obtaining the signal condition information of both candidate nodes unit.

Parameter selection apparatus 503 is used for selecting the single or multiple performance parameter of signal condition information as performance index.

For selecting a plurality of performance parameters as performance index, combination property calculation element 504 is for the integrated performance index according to a plurality of performance parameter calculated candidate node units.Integrated performance index calculation element 504 also comprises mapping device 12 and multiple-objection optimization device 14.Mapping device 12 is used for the performance parameter of both candidate nodes unit is mapped in the public scaling interval scope according to good and bad degree.Multiple-objection optimization device 14 is used for according to public scaling interval scope, the integrated performance index of calculated candidate node unit.The integrated performance index that combination property collator 505 is used for according to the both candidate nodes unit sorts to both candidate nodes.

For selecting the single performance parameter as performance index, single performance collator 506 is used for according to the single performance parameter both candidate nodes being sorted.

Node choice device 508 is used for selecting the cooperative node unit from the both candidate nodes unit according to ranking results.

Cooperative node unit choice device 500 also comprises comparison means 512 and gravity concentration apparatus 514.Comparison means 512 is for the performance index of cooperative node unit before the process comparison cooperation transmission of cooperation transmission and in the cooperation transmission.

Gravity concentration apparatus 514 is used for reselecting the node unit of participation cooperation transmission when the performance index of cooperative node unit before the performance index of cooperation are not better than cooperating

Cooperative node unit choice device 500 is selected problem for the node unit in the cooperative transmission system, demand by considering subscriber equipment and the various signal condition information of both candidate nodes unit, adopt the multi-target parameter optimizing criterion, the node unit that is each candidate according to unified scaling interval of measuring arranges priority, is that subscriber equipment is selected the cooperative node unit on this basis.Like this, not only optimize the selection mode of cooperative transmission node unit, the service quality that provides for the user has been provided, also improved systematic function.

Description of the invention provides for example with for the purpose of describing, and is not exhaustively or limit the invention to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.Selecting and describing embodiment is for better explanation principle of the present invention and practical application, thereby and makes those of ordinary skill in the art can understand the various embodiment with various modifications that the present invention's design is suitable for special-purpose.

Claims (9)

1. a cooperative node unit selection method is characterized in that, comprising:

Obtain the signal condition information of both candidate nodes unit;

Single or multiple performance parameter in the selection signal condition information is as performance index;

For selecting the single performance parameter as performance index, then directly according to described single performance parameter described both candidate nodes unit is sorted;

For selecting a plurality of performance parameters as performance index, then calculate the integrated performance index of described both candidate nodes unit according to described a plurality of performance parameters, and according to the integrated performance index of described both candidate nodes unit described both candidate nodes unit is sorted; With

From described both candidate nodes unit, select the cooperative node unit according to ranking results;

Wherein, the integrated performance index of the described both candidate nodes of described calculating unit comprises:

The performance parameter of described both candidate nodes unit is mapped in the public scaling interval scope according to good and bad degree; With

According to described public scaling interval scope, utilize Multipurpose Optimal Method to calculate the described integrated performance index of described both candidate nodes unit.

2. cooperative node unit selection method according to claim 1, wherein, the described described integrated performance index that utilizes Multipurpose Optimal Method to calculate described both candidate nodes unit comprises:

According to described public scaling interval scope, calculate the standard deviation of described performance parameter;

According to described standard deviation, set up and estimate matrix, and check the consistency of described evaluation matrix;

When satisfying condition for consistence, according to the comprehensive weight of the described performance parameter of described evaluation matrix computations; With

Calculate the described integrated performance index of described both candidate nodes unit according to described comprehensive weight and degree of membership.

3. cooperative node unit selection method according to claim 1 is characterized in that, also comprises:

In the process of cooperation transmission, relatively before the cooperation transmission and the performance index of cooperative node unit described in the cooperation transmission; With

During performance index before the performance index of described cooperative node unit in cooperation are not better than cooperating, reselect the node unit that participates in cooperation transmission.

4. node unit selection method according to claim 3 is characterized in that, the performance index with cooperative node unit described in the cooperation transmission before the described relatively cooperation comprise: utility expression formula U ⁺≤ (1+ β) U ^-Performance index to the described cooperative node unit before and after the cooperation compare, and when satisfying performance expression, reselect the node unit that participates in cooperation transmission, wherein U ⁺Be the performance expression after the cooperation, U ^-Be the performance expression before cooperating, β is cost factor.

5. cooperative node unit selection method according to claim 1 is characterized in that, the described signal condition information of obtaining the both candidate nodes unit comprises:

Obtain the described signal condition information of the described both candidate nodes unit of subscriber equipment measurement and feedback;

Obtain the described signal condition information that the subscriber equipment that utilizes up-downgoing channel relation to calculate of described both candidate nodes unit feedback receives; Or

Obtain the current signal condition information in described both candidate nodes unit of returning described both candidate nodes unit.

6. cooperative node unit selection method according to claim 1 is characterized in that, describedly selects the cooperative node unit to comprise from described both candidate nodes unit according to ranking results:

Be that described subscriber equipment is selected the cooperative node unit by the main controlled node unit according to the described signal condition information of subscriber equipment feedback and the current system situation of described both candidate nodes unit;

The performance situation that the described both candidate nodes unit that described subscriber equipment is informed according to described main controlled node unit is current and the described cooperative node of oneself state Information Selection unit; Or

The performance situation of synthetic user equipment and network is selected the cooperative node unit by described main controlled node unit or described subscriber equipment.

7. cooperative node unit selection method according to claim 1 is characterized in that, also comprises:

Cooperative node unit in elected is during without idling-resource, and subscriber equipment enters waiting list, waits for reselecting access node;

The quantity of current cooperative node unit reaches the service node element number that system allows, and in the time of still can not satisfying the transmission rate request of subscriber equipment, subscriber equipment enters waiting list, waits for again access node unit; Or

When the cooperative node unit of newly choosing and when not having common resource between the existing cooperative node unit before, subscriber equipment enters waiting list, waits for again access node unit.

8. a cooperative node unit choice device is characterized in that, comprising:

Information acquisition device is for the signal condition information of obtaining the both candidate nodes unit;

Parameter selection apparatus is used for selecting the single or multiple performance parameter of signal condition information as performance index;

The single performance collator is used for then directly according to described single performance parameter described both candidate nodes unit being sorted when selecting the single performance parameter as performance index;

The combination property calculation element when being used for an elected majority performance parameter as performance index, calculates the integrated performance index of described both candidate nodes unit according to described a plurality of performance parameters;

The combination property collator, the integrated performance index according to described both candidate nodes unit when being used for an elected majority performance parameter as performance index sorts to described both candidate nodes unit; With

The node choice device is used for selecting the cooperative node unit from described both candidate nodes unit according to ranking results;

Wherein, described combination property calculation element comprises:

Mapping device is used for the performance parameter of described both candidate nodes unit is mapped in the public scaling interval scope according to good and bad degree; With

The multiple-objection optimization device is used for according to described public scaling interval scope, calculates the described integrated performance index of described both candidate nodes unit.

9. node unit choice device according to claim 8 is characterized in that, also comprises:

Comparison means is used for the process in cooperation transmission, relatively the performance index of before the cooperation transmission and cooperative node unit described in the cooperation transmission; With

Gravity concentration apparatus is used for reselecting the node unit of participation cooperation transmission when the performance index of described cooperative node unit before the performance index of cooperation are not better than cooperating.

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