CN102612037A - Dynamic clustering-based sub-band allocation method in femtocell network - Google Patents
Dynamic clustering-based sub-band allocation method in femtocell network Download PDFInfo
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Abstract
The invention relates to the field of wireless resource management in mobile communication and provides a dynamic clustering-based sub-band allocation method in a femtocell network. The method comprises the following steps of: enabling each user to measure the interference of each base station on the user, calculating a gateway of the femtocell network, calculating interference weights and generating a weighted interference pattern; clustering family base stations in the network according to the density of the family base stations and user service quality requirements, as well as a principle that the base stations with serious mutual interference are divided into the different clusters, so as to form a virtual cell, wherein the interference among femtocells can be effectively reduced; and then sequentially allocating sub-bands corresponding to the maximum throughout capacity of all the clusters to all the clusters, ensuring the mutual orthogonality of the sub-bands among the clusters and further improving the network throughout capacity. In addition, the construction of the virtual cell in the method disclosed by the invention can effectively reduce the complexity in network management and system operation cost, and is particularly suitable for the situations with dense arrangement of the family base stations in the network.
Description
Technical field
The present invention relates to the mobile communication technology field, special, the present invention relates in the femtocell network can be used in the next generation mobile communication long evolving system based on the subband allocation method of dynamic clustering.
Background technology
At present, 3-G (Generation Three mobile communication system) (3G) has obtained commercial widely, has brought experience like never before for people's life.But the peak rate of 3G system can not satisfy the demand that people gain day by day far away.In order to realize higher data rate, formulated next generation mobile communication Long Term Evolution (LTE/LTE-A) project by 3GPP is leading, it is to be the technology of core with OFDM/FDMA, improves and strengthen the aerial access technology of 3G.Therefore can improve the up-downgoing peak rate effectively, improve the performance of Cell Edge User, the capacity of reinforced cell and reduction system delay are regarded as strong next generation mobile communication technology.
Show that according to ASSOCIATE STATISTICS about 70% voice service and 90% data service occur in indoor, and indoor mobile communication business amount is along with development of Communication Technique, the change of professional multifarious evolution and user behavior custom and increasing gradually.Therefore the traffic of home area is the very important source of finance of operator.Yet according to present wireless frequency spectrum planning, the LTE system will use in a large number and be positioned at about 2GHz and higher frequency range, and like this, the energy loss when wireless signal penetrates building will further be aggravated, and cause the indoor wireless coverage effect relatively poor thereupon.But only rely on macro base station will expend a large amount of fund of operator through strengthening means head it offs such as transmitting power.Therefore; The LTE system introduces household base station technology (HeNB or Femto BS); Home eNodeB has that volume is little, transmitting power is low, user's characteristics such as installation and maintenance, plug and play voluntarily; Can realize better indoor covering, promote the whole network capacity, thereby satisfy the demand of ever-increasing service quality of user and two-forty.Because Home eNodeB is installed by the user voluntarily, can also save the fixed capital input of common carrier simultaneously, improve the income of operator.Each big operator, equipment commercial city give household base station technology with great concern both at home and abroad at present, and in areas such as North America, Singapore, Home eNodeB has begun commercialization and obtained the good commercial profit.
In view of above-mentioned plurality of advantages, in the near future, Home eNodeB certainly will be disposed in the world in large quantities.Yet Home eNodeB possesses the advantage of plug and play, mainly by user's installation and maintenance voluntarily.In femtocell network; The position of Home eNodeB and quantity are unknown for the communication operation commercial city; Therefore femtocell network can not use network planning network optimization technology and interference avoidance technique in the conventional cellular network, makes that the interference in the femtocell avoids becoming new challenge.Because Home eNodeB quantity is huge in the femto network; In existing interference avoidance technique or between the base station and base station and internetwork information interaction cause a large amount of signaling consumptions; Or the algorithm that complexity is higher is difficult to solve effectively the interference problem between Femto cell.
Shown in Figure 1 for comprising the femtocell network system architecture diagram, it comprises some Home eNodeB and one family base-station gateway (Femto GW).
Summary of the invention
The present invention is intended to utilizing traditional Cellular Networks to draw network optimization and interference avoidance technique can not solve interference problem between Femto cell effectively; A kind of subband allocation method based on the Home eNodeB dynamic clustering is proposed; This method can reduce the interference between Femto cell widely, improves the throughput of femto network.
The present invention includes following steps:
Step 1: the user in each Home eNodeB measures the interference of adjacent base station to its generation, is reported to central control unit, and central control unit calculates according to this and disturbs weight and generate the weighting interference figure;
Step 2: central control unit is according to the density of user SINR demand and Home eNodeB, and initialization number of clusters M also is divided into the M sub-frequency bands with available band;
Step 3: central control unit calculates the interference weight sum on each all limit of Home eNodeB node, and node is pressed descending, and a preceding M node is joined in M bunch according to this;
Step 4: central control unit is selected a node from residue the node in order, calculates the interference weight sum of all nodes in this node and each bunch respectively, with this node put under disturb weight with minimum bunch, in all nodes all put individual bunch of M under;
Step 5: central control unit is counted according to each bunch internal segment M bunch is arranged by ascending order; Select one bunch and calculate its total throughout under the different sub frequency band at every turn; Corresponding sub-band is given this bunch during with the total throughout maximum; Bunch interior nodes is used identical sub-band, according to mentioned above principle will remain subband allocation give be left bunch, all distribute different sub-bands up to each bunch;
Step 6: the average SINR of central control unit statistics of user's, if user's average SINR greater than threshold requirement, the subband allocation of femtocell network finishes, otherwise, change the M value, return step 3, satisfy threshold requirement until user's average SINR.
In the said step 1; Central control unit can be integrated among the femto gateway; The user measures the interference of adjacent Home eNodeB to it in this step, has only the ratio of interference signal intensity and useful signal intensity to surpass certain threshold value and just carries out metrical information and report in central control unit; If less than threshold value, metrical information does not report so that reduce signaling consumption, and disturbs weight to be set to 0.Weighting interference figure weighted value is represented as follows:
Wherein: w
UvBe the interference weight of node v to u, P
vFor user u receives the interference signal intensity of Home eNodeB v, P
uBe the useful signal intensity that user u receives, δ
ThBe threshold value.
In the said step 6, set SINR threshold value SINR
MinAnd SINR
Max(wherein, SINR
Min＜SINR
Max), if the average SINR of central control unit statistics of user's is greater than threshold value SINR
Max, upgrade M=M-1 to improve the availability of frequency spectrum; If less than threshold value SINR
Min, upgrade the average SINR that M=M+1 improves the user, be positioned at interval [SINR until user's average SINR
Min, SINR
Max] in.
Can find out from above technical scheme; Subscriber equipment is given central control unit with the interferometry report reporting in the technical scheme of the present invention; Central control unit calculates the interference weight and generates the weighting interference figure according to all users' measurement report; Based on the weighting interference figure Home eNodeB all in the femtocell network is divided into M bunch, the very strong Home eNodeB of phase mutual interference is divided in different bunches, does not exist each other to disturb or the fainter Home eNodeB of interference ratio is divided in in the cluster; The multiplexing identical sub-band of Home eNodeB in bunch; Different bunches Home eNodeB distributes different sub-bands, thereby reduces the serious interference between the Home eNodeB under the high-density deployment environment effectively, improves the throughput of network.Home eNodeB sub-clustering with the whole network simultaneously forms virtual subdistrict, is convenient to network management and planning, thereby reduces the signaling consumption of the whole network.
Through accompanying drawing and specific embodiment technical scheme of the present invention is further set forth below.
Description of drawings
Shown in Figure 1 for comprising the system architecture diagram of Home eNodeB and femto gateway in the embodiment of the invention;
Shown in Figure 2 is user's interferometry sketch map of Femto cell in the embodiment of the invention;
Shown in Figure 3 is that central control unit is realized the subband allocation flow chart in the embodiment of the invention;
Embodiment
Clearer for what technical scheme advantage of the present invention was described, do further to set forth in detail below in conjunction with the accompanying drawing specific embodiments of the invention, obvious described embodiment is part embodiment of the present invention, rather than whole embodiment.According to embodiments of the invention, those of ordinary skill in the art can realize every other embodiment of the present invention on without the basis of creative work, all belong to protection scope of the present invention.
In the following description, the technology that has nothing to do with the present invention is only done concise and to the point technical descriptioon or directly skip over.
Main thought of the present invention is; Subscriber equipment is given central control unit with the interferometry report reporting; Central control unit is divided into M bunch according to all users' measurement report with all Femto cells; The very strong Femto cell of phase mutual interference is divided in different bunches, do not exist disturb or Femto cell that interference ratio is fainter in cluster, the Femto cell in bunch is assigned to identical sub-band; Different bunches Femto cell is assigned to different sub-bands, thus the serious interference that brings when reducing the high-density deployment Femto cell effectively.
Shown in Figure 1 is the system architecture diagram under the intensive deployment scenario of Home eNodeB in the interior femtocell network of tier building; It comprises one family base-station gateway, some Home eNodeB and some by the subscriber equipment of Home eNodeB service; Special; Home eNodeB reports the central control unit in the Home eNodeB base-station gateway with measurement report through optical cable etc., and the central control unit in the femto gateway is given each Home eNodeB in the network through optical cable with the subband allocation feedback information.
Shown in Figure 2 is Femto cell subscriber equipment interferometry sketch map, and it comprises two Home eNodeB and a Femto cell subscriber equipment, and special, the Femto cell subscriber equipment reports Home eNodeB through pilot channel with measurement report.
Fig. 3 is that embodiment of the invention central control unit is realized the subband allocation flow chart, specifically comprises:
Step 301: the user measures the interference of adjacent base station to its generation, and through for the Home eNodeB of its service is reported to central control unit, central control unit calculates and disturbs weight also to generate the weighting interference figure.
In this step, central control unit is integrated in the femto gateway.The user measure other base station to its interfering process in, set a threshold value, the ratio of interference signal intensity and useful signal intensity surpasses threshold value and just reports, and metrical information is reported central control unit; If less than threshold value, disturb weight to be set to 0, and will not be to report.In addition, measured signal strengths information can be sent through pilot channel.
Step 302: central control unit is according to the density of user SINR demand and Home eNodeB, and initialization number of clusters M also is divided into the M sub-frequency bands with authorized frequency bands.
In step 302, central control unit is according to the density initialization number of clusters M of user SINR demand and Home eNodeB, and user SINR demand is high more, and number of clusters M initial value is big more; The density of Home eNodeB is big more, and number of clusters M initial value is also big more.
Step 303: central control unit calculates the interference weight sum on each all limit of node, and by descending, and preceding M node is divided into respectively among M different bunches.
Central control unit adopts random fashion, and a preceding M node is put under respectively among individual different bunches of the M.
Step 304: central control unit is selected a node successively from the residue node; Calculate the interference weight sum of all nodes in this node and each bunch respectively; With this node put under disturb weight with minimum bunch, all put under among M bunch until all nodes.
In the step 304, if exist two or more bunch with the interference weight of this node with minimum and equate, this node is put under among one of them bunch at random;
Step 305: central control unit is arranged by ascending order M bunch according to the node number of each bunch; Select successively bunch; Calculate the total throughout of this bunch on the different sub frequency band respectively; Pairing subband allocation is given this bunch when selecting total throughout maximum, and the multiplexing identical sub-band of bunch interior nodes will remain sub-band according to mentioned above principle and distribute to remaining bunch respectively.
Claims (6)
1. the subband allocation method based on dynamic clustering according to claim 1 is characterized in that may further comprise the steps:
Step 1: the user in each Home eNodeB measures the interference of adjacent base station to its generation, is reported to central control unit, and central control unit calculates according to this and disturbs weight and generate the weighting interference figure;
Step 2: central control unit is according to the density of user SINR demand and Home eNodeB, and initialization number of clusters M also is divided into the M sub-frequency bands with available band;
Step 3: central control unit calculates the interference weight sum on each all limit of Home eNodeB node, and node is pressed descending, and a preceding M node is joined in M bunch according to this;
Step 4: central control unit is selected a node from residue the node in order, calculates the interference weight sum of all nodes in this node and each bunch respectively, with this node put under disturb weight with minimum bunch, in all nodes all put individual bunch of M under;
Step 5: central control unit is counted according to each bunch internal segment M bunch is arranged by ascending order; Select one bunch and calculate its total throughout under the different sub frequency band at every turn; Corresponding sub-band is given this bunch during with the total throughout maximum; Bunch interior nodes is used identical sub-band, according to mentioned above principle will remain subband allocation give be left bunch, all distribute different sub-bands up to each bunch;
Step 6: the average SINR of central control unit statistics of user's, if user's average SINR greater than threshold requirement, the subband allocation of femtocell network finishes, otherwise, change the M value, return step 3, satisfy threshold requirement until user's average SINR.
2. the subband allocation method based on dynamic clustering according to claim 1 is characterized in that:
In the said step 1; Central control unit can be integrated among the femto gateway; The user measures the interference of adjacent Home eNodeB to it in this step, has only the ratio of interference signal intensity and useful signal intensity to surpass certain threshold value and just carries out metrical information and report in central control unit; If less than threshold value, metrical information does not report so that reduce signaling consumption, and disturbs weight to be set to 0.
3. the subband allocation method based on dynamic clustering according to claim 1 is characterized in that:
In the said step 2, central control unit is according to the density initialization number of clusters M of user SINR demand and Home eNodeB, and user SINR demand is high more, and number of clusters M initial value is big more; The density of Home eNodeB is big more, and number of clusters M initial value is also big more.
4. the subband allocation method based on dynamic clustering according to claim 1 is characterized in that:
In the said step 3, central control unit adopts random fashion, and a preceding M node is put under respectively among individual different bunches of the M.
5. the subband allocation method based on dynamic clustering according to claim 1 is characterized in that:
In the said step 4, if exist two or more bunch with the interference weight of this node with minimum and equate, put this node under one of them bunch at random.
6. the subband allocation method based on dynamic clustering according to claim 1 is characterized in that:
In the said step 6, set SINR threshold value SINR
MinAnd SINR
Max(wherein, SINR
Min＜SINR
Max), if the average SINR of central control unit statistics of user's is greater than threshold value SINR
Max, upgrade M=M-1 to improve the availability of frequency spectrum; If less than threshold value SINR
Min, upgrade the average SINR that M=M+1 improves the user, be positioned at interval [SINR until user's average SINR
Min, SINR
Max] in.
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| CN105554771A (en) * | 2015-12-15 | 2016-05-04 | 重庆邮电大学 | Femto user resource distribution method based on dense distribution |
| CN105578581A (en) * | 2015-12-23 | 2016-05-11 | 中国联合网络通信集团有限公司 | Resource distributing method and device |
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| CN107371167A (en) * | 2017-09-05 | 2017-11-21 | 上海无线通信研究中心 | Cell cluster-dividing method and the overlapping multiplexing method of frequency spectrum based on the cell cluster-dividing method |
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Application publication date: 20120725 |