CN104105100A - Downlink interference elimination method and system based on pseudo random sub-channel selection strategy - Google Patents

Downlink interference elimination method and system based on pseudo random sub-channel selection strategy Download PDF

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CN104105100A
CN104105100A CN201310112332.4A CN201310112332A CN104105100A CN 104105100 A CN104105100 A CN 104105100A CN 201310112332 A CN201310112332 A CN 201310112332A CN 104105100 A CN104105100 A CN 104105100A
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pseudo
femto
base station
interference
home base
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CN104105100B (en
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周一青
黄伊
王伟
刘航
田霖
陈海华
石晶林
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Institute of Computing Technology of CAS
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Abstract

The invention provides a downlink interference elimination method and system based on a clustering pseudo random sub-channel selection strategy; the method comprises the following steps: step 1: cluster generation: a terminal measures a reference signal, than determines mutual interference intensity between household base stations according to measured a physics value, employs the mutual interference intensity to generate an interference pattern, and each sub-pattern in the interference pattern is a cluster; step 2: pseudo random sub-channel selection: selects a pseudo random sub-channel in each cluster, and each household base station employs a RS pseudo random sequence to randomly generate the pseudo random sequence for communication. The method and system can greatly improve system throughput and femto UE signal to noise ratio, and can effectively reduce same-layer and cross-layer interferences.

Description

Descending interference elimination method and system based on pseudorandom subchannel selection strategy
Technical field
The present invention relates to the RRM field of heterogeneous network, relate in particular to a kind of descending interference elimination method and system based on sub-clustering pseudorandom subchannel selection strategy.
Background technology
Have statistics to show, following 80%~90% throughput of system will occur in indoor and focus scene.But traditional Cellular Networks technology has " heavy outdoor, gently indoor; Heavy beehive net, light isolated hot spots; Heavily mobile switch, gently fix nomadic " etc. feature, so one of the focus of 3GPP LTE Advanced is just being optimized with focus scene indoor.Wherein heterogeneous network (Heterogeneous Networks, HetNet) can meet LTE Advanced requirement well.In 3GPP HetNet scheme, introduced the transmitting node less with respect to traditional cell base station transmitting power, comprise Pico cell (Picocell), femtocell (Femtocells) and for relay station (Relay) of signal relaying etc., wherein femtocell scheme (Femtocell) has advantage most.
Femtocell is a kind of base station equipment being applied under family's indoor environment, working environment or other little overlay environments, be called again Home eNodeB, it is based on lP broadband technology, by broadband connections such as LAN (local area network (LAN)), ADSL (ADSL (Asymmetric Digital Subscriber Line)), to Internet., is connected to the core network of operator by special circuit again.Femtocell is by broadband accesss such as existing ADSL, LAN, can make operator that high data rate, attractive business are more cheaply provided more.But Home eNodeB is to be disposed by user oneself, configuration automatically, and can use the frequency resource identical with original macro base station network, so and exist strong interference problem (cross-layer interference) between existing macro base station network.How to improve as much as possible throughput of system, and reduce macro base station and phase mutual interference between femto and become an important problem.Interference problem between femto and femto (disturbing with layer) is also a major issue in addition.
Existing technical scheme mainly comprises:
With frequently disposing (CFA, co-channel frequency allocation) [1]: femto can be used the whole frequency resource of macro base station, can improve to greatest extent throughput of system like this, but with the interference between frequency, comprise across once disturbing and disturbing all very serious with layer.
Fixed Frequency Assignment (DFA, dedicated frequency allocation) [2]: whole frequency band is allocated to fixing two parts, a part is left macro base station user for, part flow process femto is used, do not have phase mutual interference between the two, but resource utilization decline causes throughput of system to decline.
Component frequency distributes (PFA, partial frequency allocation) [3]: macro base station can be used whole frequency resources, and femto only can be used part resource, this scheme can reduce the interference between femto and macro base station, but the problem of disturbing with layer can not access efficient solution certainly
Dynamic frequency allocation (SSA, stochastic subchannel allocation) [4]: macro base station is used whole frequency resources, each femto in the time slot of each transmission, the random sub-channels of selecting from all channels.This scheme, when femto is more, is disturbed all very severe with layer interference and cross-layer.
In sum, the complete same frequency of CFA scheme is disposed, and with layer interference and cross-layer, disturbs all very severe; Although DFA scheme has effectively solved across once disturbing, throughput of system degradation; PFA is the half-way house of CFA and DFA, still cannot effectively solve the problem of disturbing with layer; SSA is when femto density is less, and cross-layer is disturbed and disturb with layer less, but when femto deployment density is larger, effect is undesirable.
Summary of the invention
For addressing the above problem, the invention provides a kind of descending interference elimination method and system based on sub-clustering pseudorandom subchannel selection strategy, greatly improved the signal to noise ratio of throughput of system and femto UE, and can effectively reduce with layer and cross-layer and disturb.
For achieving the above object, the invention provides a kind of descending interference elimination method based on sub-clustering pseudorandom subchannel selection strategy, the method comprises:
Step 1, bunch generation: terminal is carried out reference signal measurement, according to the physical values measuring, determines the mutual interference strength between Home eNodeB, utilizes described in this interference strength mutually to generate interference figure, and each subgraph in wherein said interference figure is one bunch;
Step 2, the selection of pseudorandom subchannel: carry out the selection of pseudorandom subchannel in each bunch, each Home eNodeB adopts RS pseudo random sequence to generate at random pseudo random sequence and communicates.
Further, in described step 1:
In identical bunch, two users of interconnecting line can not distribute same RS sequence, can use identical RS sequence between bunch.
Further, described interference figure is obtained by following mode:
Home eNodeB femto is as the node in interference figure, certain user under femto i measures the RSRP value from femto j base station, when this value is greater than the given threshold value of system, user under this femto i is subject to disturbing from femto base station j, will between node i in interference figure and node j, with segment link, get up, femto i lists femto j in its interference list in simultaneously.
Further, described step 2 comprises:
Step 21, the RS pseudo random sequence number in compute cluster on each Home eNodeB, other Home eNodeB in the subscript of the RS pseudo random sequence that then described each Home eNodeB can only sign by it sends to bunch;
Step 22, determines the RS pseudo random sequence on each Home eNodeB in described bunch: described each Home eNodeB is watched its subscript of disturbing the RS pseudo random sequence of other Home eNodeB in list,
If the subscript of the RS pseudo random sequence of described other Home eNodeB is all different, communication adopts the RS pseudo random sequence generating;
If there is identical RS pseudo random sequence subscript in any two Home eNodeB in interference list, again generate at random RS pseudo random sequence, until two of phase mutual interference Home eNodeB RS pseudo random sequence subscripts are all not identical in each bunch, then adopt the RS pseudo random sequence regenerating to communicate;
Step 23, will determine that in described bunch, the RS pseudo random sequence on each Home eNodeB is notified to other Home eNodeB by the form of broadcast, and then all Home eNodeB transmit in corresponding RS pseudo random sequence.
Further, in described step 2:
By the subscript of described pseudo random sequence, the form by broadcast transfers out each Home eNodeB, and wherein the macro base station user in Home eNodeB can use whole time frequency resource block.
For achieving the above object, the present invention also provides a kind of descending interference cancelling system based on sub-clustering pseudorandom subchannel selection strategy, and this system comprises:
Bunch generation module: for carrying out reference signal measurement by terminal, according to the physical values measuring, determine the mutual interference strength between Home eNodeB, utilize described in this interference strength mutually to generate interference figure, each subgraph in wherein said interference figure is one bunch;
The selection module of pseudorandom subchannel: for carry out the selection of pseudorandom subchannel in each bunch, each Home eNodeB adopts RS pseudo random sequence to generate at random pseudo random sequence and communicates.
Further, in the generation module of described bunch:
In identical bunch, two users of interconnecting line can not distribute same RS sequence, can use identical RS sequence between bunch.
Further, described interference figure is obtained by following mode:
Home eNodeB femto is as the node in interference figure, certain user under femto i measures the RSRP value from femto j base station, when this value is greater than the given threshold value of system, user under this femto i is subject to disturbing from femto base station j, will between node i in interference figure and node j, with segment link, get up, femto i lists femto j in its interference list in simultaneously.
Further, the selection module of described pseudorandom subchannel comprises:
RS pseudo random sequence number computing module, the RS pseudo random sequence number in compute cluster on each Home eNodeB, other Home eNodeB in the subscript of the RS pseudo random sequence that then described each Home eNodeB can only sign by it sends to bunch;
RS pseudo random sequence determination module, determines the RS pseudo random sequence on each Home eNodeB in described bunch: described each Home eNodeB is watched its subscript of disturbing the RS pseudo random sequence of other Home eNodeB in list,
If the subscript of the RS pseudo random sequence of described other Home eNodeB is all different, communication adopts the RS pseudo random sequence generating;
If there is identical RS pseudo random sequence subscript in any two Home eNodeB in interference list, again generate at random RS pseudo random sequence, until two of phase mutual interference Home eNodeB RS pseudo random sequence subscripts are all not identical in each bunch, then adopt the RS pseudo random sequence regenerating to communicate;
Communication module, will determine that in described bunch, the RS pseudo random sequence on each Home eNodeB is notified to other Home eNodeB by the form of broadcast, and then all Home eNodeB transmit in corresponding RS pseudo random sequence.
Further, in the selection module of described pseudorandom subchannel:
By the subscript of described pseudo random sequence, the form by broadcast transfers out each Home eNodeB, and wherein the macro base station user in Home eNodeB can use whole time frequency resource block.
Beneficial functional of the present invention is, has greatly improved the signal to noise ratio of throughput of system and femto UE, and can effectively reduce with layer and cross-layer and disturb.
Below in conjunction with the drawings and specific embodiments, describe the present invention, but not as a limitation of the invention.
Accompanying drawing explanation
Fig. 1 is the descending interference elimination method flow chart based on sub-clustering pseudorandom subchannel selection strategy of the present invention;
Fig. 2 is the descending interference cancelling system schematic diagram based on sub-clustering pseudorandom subchannel selection strategy of the present invention;
Fig. 3 be interference figure of the present invention and bunch generation schematic diagram;
Fig. 4 is that femto subchannel of the present invention is selected schematic diagram at random.
Embodiment
Fig. 1 is the descending interference elimination method flow chart based on sub-clustering pseudorandom subchannel selection strategy of the present invention.As shown in Figure 1, the method comprises:
Step 1, bunch generation: terminal is carried out reference signal measurement, according to the physical values measuring, determines the mutual interference strength between Home eNodeB, utilizes described in this interference strength mutually to generate interference figure, and each subgraph in wherein said interference figure is one bunch;
Step 2, the selection of pseudorandom subchannel: carry out the selection of pseudorandom subchannel in each bunch, each Home eNodeB adopts RS pseudo random sequence to generate at random pseudo random sequence and communicates.
Further, in described step 1:
In identical bunch, two users of interconnecting line can not distribute same RS sequence, can use identical RS sequence between bunch.
Further, described interference figure is obtained by following mode:
Home eNodeB femto is as the node in interference figure, certain user under femto i measures the RSRP value from femto j base station, when this value is greater than the given threshold value of system, user under this femto i is subject to disturbing from femto base station j, will between node i in interference figure and node j, with segment link, get up, femto i lists femto j in its interference list in simultaneously.
Further, described step 2 comprises:
Step 21, the RS pseudo random sequence number in compute cluster on each Home eNodeB, other Home eNodeB in the subscript of the RS pseudo random sequence that then described each Home eNodeB can only sign by it sends to bunch;
Step 22, determines the RS pseudo random sequence on each Home eNodeB in described bunch: described each Home eNodeB is watched its subscript of disturbing the RS pseudo random sequence of other Home eNodeB in list,
If the subscript of the RS pseudo random sequence of described other Home eNodeB is all different, communication adopts the RS pseudo random sequence generating;
If there is identical RS pseudo random sequence subscript in any two Home eNodeB in interference list, again generate at random RS pseudo random sequence, until two of phase mutual interference Home eNodeB RS pseudo random sequence subscripts are all not identical in each bunch, then adopt the RS pseudo random sequence regenerating to communicate;
Step 23, will determine that in described bunch, the RS pseudo random sequence on each Home eNodeB is notified to other Home eNodeB by the form of broadcast, and then all Home eNodeB transmit in corresponding RS pseudo random sequence.
Further, in described step 2:
By the subscript of described pseudo random sequence, the form by broadcast transfers out each Home eNodeB, and wherein the macro base station user in Home eNodeB can use whole time frequency resource block.
Fig. 2 is the descending interference cancelling system schematic diagram based on sub-clustering pseudorandom subchannel selection strategy of the present invention.As shown in Figure 2, this system comprises:
Bunch generation module 100: for carrying out reference signal measurement by terminal, according to the physical values measuring, determine the mutual interference strength between Home eNodeB, utilize described in this interference strength mutually to generate interference figure, each subgraph in wherein said interference figure is one bunch;
The selection module 200 of pseudorandom subchannel: for carry out the selection of pseudorandom subchannel in each bunch, each Home eNodeB adopts RS pseudo random sequence to generate at random pseudo random sequence and communicates.
Further, in the generation module 100 of described bunch:
In identical bunch, two users of interconnecting line can not distribute same RS sequence, can use identical RS sequence between bunch.
Further, described interference figure is obtained by following mode:
Home eNodeB femto is as the node in interference figure, certain user under femto i measures the RSRP value from femto j base station, when this value is greater than the given threshold value of system, user under this femto i is subject to disturbing from femto base station j, will between node i in interference figure and node j, with segment link, get up, femto i lists femto j in its interference list in simultaneously.
Further, the selection module 200 of described pseudorandom subchannel comprises:
RS pseudo random sequence number computing module 210, the RS pseudo random sequence number in compute cluster on each Home eNodeB, other Home eNodeB in the subscript of the RS pseudo random sequence that then described each Home eNodeB can only sign by it sends to bunch;
RS pseudo random sequence determination module 220, determines the RS pseudo random sequence on each Home eNodeB in described bunch: described each Home eNodeB is watched its subscript of disturbing the RS pseudo random sequence of other Home eNodeB in list,
If the subscript of the RS pseudo random sequence of described other Home eNodeB is all different, communication adopts the RS pseudo random sequence generating;
If there is identical RS pseudo random sequence subscript in any two Home eNodeB in interference list, again generate at random RS pseudo random sequence, until two of phase mutual interference Home eNodeB RS pseudo random sequence subscripts are all not identical in each bunch, then adopt the RS pseudo random sequence regenerating to communicate;
Communication module 230, will determine that in described bunch, the RS pseudo random sequence on each Home eNodeB is notified to other Home eNodeB by the form of broadcast, and then all Home eNodeB transmit in corresponding RS pseudo random sequence.
Further, in the selection module 200 of described pseudorandom subchannel:
By the subscript of described pseudo random sequence, the form by broadcast transfers out each Home eNodeB, and wherein the macro base station user in Home eNodeB can use whole time frequency resource block.
1. generation bunch:
Except considering the phase mutual interference between femto user and macro base station user, if two close femto have generated identical RS sequence, between femto user and adjacent femto base station, will there is serious descending co-channel interference, appearance for fear of this situation, be necessary according to the disturbed condition between femto user and neighbours' femto base station the RS formation sequence of restriction femto.
In order to limit femto with the interference between layer, the femto each other with strong interference can not distribute identical RS sequence, so be necessary according to the mutual disturbed condition between femto, generate interference figure, wherein each subgraph is one bunch.In identical bunch, two users of interconnecting line can not distribute same RS sequence.Between bunch, can use identical RS sequence.
(1). for the disturbed condition between femto, can describe by interference figure.Node in interference figure represents femto base station, certain user under femto i measures the RSRP value from femto j base station, when this value is greater than the given threshold value of system, show that user under this femto i has been subject to disturbing from femto base station j is strong, will between node i in interference figure and node j, with segment link, get up.For example: in figure, between node 1 and node 3, with segment link, get up, represent that the user under femto1 can be subject to the strong interference of femto3 or the strong interference that the user under femto3 can be subject to femto1.
(2), after obtaining interference figure, interference figure comprises some subgraphs.Each subgraph has of one's own between node any in an integral body and other subgraph does not have line.Each subgraph comprising in interference figure is called as one independently femtocell bunch (cluster).For example, interference figure below has been divided into 3 subgraphs, and each subgraph is referred to as a femtocell bunch.Three subgraphs in figure below are labeled as respectively femetocell cluster1, femtocell cluster2 and femtocell cluester3.
2. the selection of pseudorandom subchannel:
The in the situation that of femto user and the shared same frequency of macro base station user, because macro base station user has higher priority, can use whole frequency resources.In order to avoid to greatest extent femto for macro base station user's interference, each femto adopts Reed Solomon (RS) pseudo random sequence to come random formation sequence to decide its scheduling in time/frequency source block in the selection of subchannel.For example: certain femto party A-subscriber utilize RS Sequence Generation Algorithm can generate 1 RS pseudo random sequence 8, Isosorbide-5-Nitrae, 2,7,9,3,5,8,5,2,9}, femto A communicates the frequency resource block by corresponding at different time-gap.
RS sequence is a kind of pseudo random sequence, and the method for its generation has a variety of, has only utilized the pseudo-random characteristics of RS sequence here.
Fig. 4 is that femto subchannel of the present invention is selected schematic diagram at random.As shown in Figure 4: macro base station user can use whole time frequency resource block, and femto user utilizes RS sequence, optionally at different time-gap, on different frequency, communicate, on time slot 1-12 successively in frequency 8,1,4,2,7,9,3,5,8, on 5,2,9 with the femto base station communication of its ownership.
In each bunch, carry out the selection of pseudorandom subchannel, each Home eNodeB adopts RS pseudo random sequence to generate at random pseudo random sequence and communicates.
Comprise A, B two steps:
The calculating of the pseudo random sequence number in A bunch on each femto
The disturbed condition from other femto that the RS sequence number (can be understood as subchannel number) that can use on each femto is subject to it is relevant, and the macro base station user's who simultaneously around exists with this femto number is relevant.Because this femto with its adjacent other femto that have severe jamming, and macro base station user can not use identical RS sequence, otherwise, will there is serious interference.
Suppose that all available RS sequence numbers are Num, and the number of degrees of femto i being recorded as deg (i). the RS sequence number that each node in initial cluster is set is RS_femto_i=Num.
The computational methods of the pseudo random sequence number in being below bunch on femto
1. in selecting bunch, the node of number of degrees maximum, is designated as femto_max, is that it distributes RS sequence number RS_femto_max=min (RS_femto_max, ceil(Num/ (deg (i)+1))).Ceil represents to round operation.Find out other nodes that connect each other with this node, be designated as femto_seri.The degree of statistics between femto_max and coupled these nodes, is recorded as deg (femto_seri_i);
2. for certain node in femto_seri, be its first sub-distribution floor((Num-RS_femto_max)/(deg (femto_seri_i)+1)), under floor represents, round operation;
By in femto_seri, select with femto_max and femto_seri in node beyond femto node have the node of line, leave in femto_seri_outer, all the other nodes leave in femto_seri_inner.Node in femto_seri_outer is retained.RS_femto_i=min (RS_femto_i, the resource number of first sub-distribution); Otherwise forward 4 to
4, calculate each node in femto_seri_inner.The RS sequence sum taking that solves other nodes in the femto_seri with this femto phase line, deducts this summation with Num, is designated as sy.On the basis of just sub-distribution, for this femto adds sy RS sequence, calculate min(RS_femto_i, first sub-distribution+sy).
5, by the node in femto_seri_inner and femto_max from bunch leave out.
If also have node in bunch, turn back to the 1st step, otherwise to the 6th step.
6, add up each femto RS sequence number that macro base station user uses around, be recorded as RS_mac_femto_i, the final RS sequence number of distributing of femto i is RS_femto_i=min(Num-RS_mac_femto_i, RS_femto_i); Finish
Be exemplified below:
Fig. 3 be interference figure of the present invention and bunch generation schematic diagram.As shown in Figure 3:
In bunch 1, one has 1,2,3,4,6,9 six nodes, wherein first the number of degrees deg (femto_max)=4 of node femto_max=3, be node 3 distribution RS_femto_max=min(32, ceil(32/5))=7 RS sequences.Wherein ceil rounds operation on being.Node with node 3 interconnecting lines is formed to femto_serial={1,6,2,9} simultaneously; The degree that calculates the interconnecting line between node in femto_serial, wherein the number of degrees in subgraph are followed successively by { 1,1,0,0};
For { 1; 2; 6; the RS sequence number of just sub-distribution of 9} is RS_femto_1=floor{ (32-7)/2}=12; RS_femto_6=floor{ (32-7)/2}=12; RS_femto_2=floor{ (32-7)/1}=25, RS_femto_9=floor{ (32-7)/1}=25 wherein floor rounds operation under being;
Due to the node in 1,2,6,9} 2} only with node 3 and the node outside 1,2,6,9} is by line, thus femto_seri_inner={1,6,9}, femto_seri_outer={2}. retains node 2.To be for the first time the resource min{32 that node 2 distributes, 12}=12.
For the node in femto_seri_inner, node 1, the shared resource summation of the node of coupled line (comprising oneself) is: so 7+12+12=31 surplus resources number is 1, the resource number of distributing for node 1 is increased to 13: in like manner can obtain the resource summation shared with the node of node 6 interconnecting lines is that 13+12+7=32 and node 9 resource numbers are 25+7=32, residue is all 0, so the resource number of node 6 and 9 is constant; By node, { 1,6,9} and node 3 are left out from bunch 1 afterwards.Residue { two nodes of 2,4} in such bunch 1.
Therefrom select the node femto_max=2 of number of degrees maximum, deg (femto_max)=1; The RS sequence number RS_femto_2=min{12 distributing for femto_2,32/2}=12; The node connecting each other with it is 4, for the resource number of its just sub-distribution is RS_femto_4=32-12/1}=20.Resource to node 4 is adjusted, and finds constant.Afterwards by node 2 and node 4 from bunch delete.
In this master drawing, there is no node.Forward step 6 to.
Add up the shared RS sequence number of macro base station user that each femto i exists around, from total RS sequence, deduct, be available RS sequence number.RS_femto_i last and above gets the RS sequence number that minimum value obtains the final distribution on femtoi.
In B bunch, the upper pseudo random sequence of each femto determines
Femto i generates at random step 1 and calculates RS_femto_i RS sequence, the femto base station of other in the form by broadcast is transferred to the subscript of the RS sequence of own use (the RS sequence that RS sequence subscript can only sign be used) bunch.
Each femto in bunch checks the RS sequence subscript that it disturbs other femto in list, if its RS sequence subscript of those RS sequence subscripts is different, in communication, adopts the RS sequence generating to communicate by letter afterwards.
If certain the femto m in interference list has the individual identical RS subscript of k with femto n, and n>m, this femto n needs again to generate at random RS sequence, and select all different RS sequences of k and femto m, afterwards, by the form of broadcast, this information is notified to other femto.
Repeat process above, until in each bunch, two femto of phase mutual interference have different RS sequences.All femto transmit in corresponding RS sequence afterwards.
Certainly; the present invention also can have other various embodiments; in the situation that not deviating from spirit of the present invention and essence thereof; those of ordinary skill in the art are when making according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.

Claims (10)

1.一种基于分簇伪随机子信道选择策略的下行干扰消除方法,其特征在于,包括:1. A method for eliminating downlink interference based on clustering pseudo-random sub-channel selection strategy, characterized in that, comprising: 步骤1,簇的生成:终端进行参考信号测量,根据测量到的物理值确定家庭基站之间的相互干扰强度,利用该所述相互干扰强度生成干扰图,其中所述干扰图中的每个子图为一个簇;Step 1, cluster generation: the terminal performs reference signal measurement, determines the mutual interference strength between the home base stations according to the measured physical value, and uses the mutual interference strength to generate an interference graph, wherein each subgraph in the interference graph for a cluster; 步骤2,伪随机子信道的选择:在每个簇内进行伪随机子信道的选择,每个家庭基站采用RS伪随机序列来随机生成伪随机序列进行通信。Step 2, selection of pseudo-random sub-channels: selection of pseudo-random sub-channels is performed in each cluster, and each home base station uses RS pseudo-random sequences to randomly generate pseudo-random sequences for communication. 2.如权利要求1所述的下行干扰消除方法,其特征在于,所述步骤1中:2. The downlink interference elimination method according to claim 1, characterized in that, in the step 1: 相同的簇内相互连线的两个用户不能分配同一个RS序列,簇之间可以使用相同的RS序列。Two users connected to each other in the same cluster cannot be assigned the same RS sequence, and the same RS sequence can be used between clusters. 3.如权利要求1所述的下行干扰消除方法,其特征在于,所述干扰图由以下方式获得:3. The method for eliminating downlink interference according to claim 1, wherein the interference graph is obtained in the following manner: 家庭基站femto作为干扰图中的节点,当femto i下的某个用户测量来自femto j基站的RSRP值,当该值大于系统给定阈值时,该femto i下的用户受到来自femto基站j干扰,则将干扰图中节点i和节点j之间用线段连接起来,同时femto i将femto j列入其干扰列表中。Home base station femto is used as a node in the interference graph. When a user under femto i measures the RSRP value from femto j base station, when the value is greater than the given threshold of the system, the user under femto i is interfered by femto base station j. Then connect the node i and node j in the interference graph with a line segment, and femto i will include femto j in its interference list. 4.如权利要求1所述的下行干扰消除方法,其特征在于,所述步骤2包括:4. The downlink interference elimination method according to claim 1, wherein said step 2 comprises: 步骤21,计算簇内每个家庭基站上的RS伪随机序列个数,然后所述每个家庭基站将其能够惟一标识的RS伪随机序列的下标发送给簇内的其他家庭基站;Step 21, calculating the number of RS pseudo-random sequences on each home base station in the cluster, and then each home base station sends the subscript of the RS pseudo-random sequence that can be uniquely identified to other home base stations in the cluster; 步骤22,确定所述簇内各个家庭基站上的RS伪随机序列:所述每个家庭基站察看其干扰列表中其它家庭基站的RS伪随机序列的下标,Step 22, determine the RS pseudo-random sequence on each home base station in the cluster: each home base station checks the subscript of the RS pseudo-random sequence of other home base stations in its interference list, 如果所述其它家庭基站的RS伪随机序列的下标均不同,则通信采用生成的RS伪随机序列;If the subscripts of the RS pseudo-random sequences of the other home base stations are all different, the generated RS pseudo-random sequences are used for communication; 如果干扰列表中的任意两个家庭基站存在相同的RS伪随机序列下标,则重新随机生成RS伪随机序列,直到每个簇内相互干扰的两个家庭基站RS伪随机序列下标均不相同,然后采用重新生成的RS伪随机序列进行通信;If any two home base stations in the interference list have the same RS pseudo-random sequence subscript, re-generate the RS pseudo-random sequence randomly until the RS pseudo-random sequence subscripts of the two home base stations that interfere with each other in each cluster are different , and then use the regenerated RS pseudo-random sequence for communication; 步骤23,通过广播的形式将确定所述簇内各个家庭基站上的RS伪随机序列通知给其他家庭基站,然后所有家庭基站在对应的RS伪随机序列上进行传输。Step 23: Notify other HNBs of the determined RS pseudo-random sequence on each HNB in the cluster by broadcasting, and then all HNBs transmit on the corresponding RS pseudo-random sequence. 5.如权利要求1所述的下行干扰消除方法,其特征在于,所述步骤2中:5. The downlink interference elimination method according to claim 1, characterized in that, in the step 2: 每个家庭基站将所述伪随机序列的下标通过广播的形式传输出去,其中家庭基站中的宏基站用户可以使用全部的时频率资源块。Each home base station transmits the subscript of the pseudo-random sequence in the form of broadcast, wherein the users of the macro base station in the home base station can use all the time-frequency resource blocks. 6.一种基于分簇伪随机子信道选择策略的下行干扰消除系统,其特征在于,包括:6. A downlink interference elimination system based on a clustering pseudo-random sub-channel selection strategy, characterized in that it comprises: 簇的生成模块:用于通过终端进行参考信号测量,根据测量到的物理值确定家庭基站之间的相互干扰强度,利用该所述相互干扰强度生成干扰图,其中所述干扰图中的每个子图为一个簇;Cluster generation module: used for measuring reference signals by the terminal, determining the mutual interference strength between the home base stations according to the measured physical value, using the mutual interference strength to generate an interference graph, wherein each sub-group in the interference graph The picture is a cluster; 伪随机子信道的选择模块:用于在每个簇内进行伪随机子信道的选择,每个家庭基站采用RS伪随机序列来随机生成伪随机序列进行通信。Pseudo-random sub-channel selection module: used to select pseudo-random sub-channels in each cluster, and each home base station uses RS pseudo-random sequences to randomly generate pseudo-random sequences for communication. 7.如权利要求6所述的下行干扰消除系统,其特征在于,所述簇的生成模块中:7. The downlink interference cancellation system according to claim 6, wherein in the generating module of the cluster: 相同的簇内相互连线的两个用户不能分配同一个RS序列,簇之间可以使用相同的RS序列。Two users connected to each other in the same cluster cannot be assigned the same RS sequence, and the same RS sequence can be used between clusters. 8.如权利要求6所述的下行干扰消除系统,其特征在于,所述干扰图由以下方式获得:8. The downlink interference cancellation system according to claim 6, wherein the interference graph is obtained in the following manner: 家庭基站femto作为干扰图中的节点,当femto i下的某个用户测量来自femto j基站的RSRP值,当该值大于系统给定阈值时,该femto i下的用户受到来自femto基站j干扰,则将干扰图中节点i和节点j之间用线段连接起来,同时femto i将femto j列入其干扰列表中。Home base station femto is used as a node in the interference graph. When a user under femto i measures the RSRP value from femto j base station, when the value is greater than the given threshold of the system, the user under femto i is interfered by femto base station j. Then connect the node i and node j in the interference graph with a line segment, and femto i will include femto j in its interference list. 9.如权利要求6所述的下行干扰消除系统,其特征在于,所述伪随机子信道的选择模块包括:9. The downlink interference cancellation system according to claim 6, wherein the selection module of the pseudo-random sub-channel comprises: RS伪随机序列个数计算模块,计算簇内每个家庭基站上的RS伪随机序列个数,然后所述每个家庭基站将其能够惟一标识的RS伪随机序列的下标发送给簇内的其他家庭基站;The calculation module for the number of RS pseudo-random sequences calculates the number of RS pseudo-random sequences on each home base station in the cluster, and then each home base station sends the subscript of the RS pseudo-random sequence that can be uniquely identified to the RS pseudo-random sequences in the cluster other femtocells; RS伪随机序列确定模块,确定所述簇内各个家庭基站上的RS伪随机序列:所述每个家庭基站察看其干扰列表中其它家庭基站的RS伪随机序列的下标,The RS pseudo-random sequence determination module determines the RS pseudo-random sequence on each home base station in the cluster: each home base station checks the subscript of the RS pseudo-random sequence of other home base stations in its interference list, 如果所述其它家庭基站的RS伪随机序列的下标均不同,则通信采用生成的RS伪随机序列;If the subscripts of the RS pseudo-random sequences of the other home base stations are all different, the generated RS pseudo-random sequences are used for communication; 如果干扰列表中的任意两个家庭基站存在相同的RS伪随机序列下标,则重新随机生成RS伪随机序列,直到每个簇内相互干扰的两个家庭基站RS伪随机序列下标均不相同,然后采用重新生成的RS伪随机序列进行通信;If any two home base stations in the interference list have the same RS pseudo-random sequence subscript, re-generate the RS pseudo-random sequence randomly until the RS pseudo-random sequence subscripts of the two home base stations that interfere with each other in each cluster are different , and then use the regenerated RS pseudo-random sequence for communication; 通信模块,通过广播的形式将确定所述簇内各个家庭基站上的RS伪随机序列通知给其他家庭基站,然后所有家庭基站在对应的RS伪随机序列上进行传输。The communication module notifies other home base stations of the determined RS pseudo-random sequence on each home base station in the cluster by broadcasting, and then all home base stations transmit on the corresponding RS pseudo-random sequence. 10.如权利要求6所述的下行干扰消除系统,其特征在于,所述伪随机子信道的选择模块中:10. The downlink interference cancellation system according to claim 6, wherein in the selection module of the pseudo-random sub-channel: 每个家庭基站将所述伪随机序列的下标通过广播的形式传输出去,其中家庭基站中的宏基站用户可以使用全部的时频率资源块。Each home base station transmits the subscript of the pseudo-random sequence in the form of broadcast, wherein the users of the macro base station in the home base station can use all the time-frequency resource blocks.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104486767A (en) * 2014-12-12 2015-04-01 重庆邮电大学 Cluster-based dynamic ABS interference rejection method in heterogeneous cellular network
CN108235440A (en) * 2018-03-20 2018-06-29 山东大学 Frequency spectrum resource allocation method and system based on interference threshold in Femtocell networks
CN112770385A (en) * 2020-12-29 2021-05-07 海能达通信股份有限公司 Signal transmission method, base station, terminal and computer storage medium
CN112954763A (en) * 2021-02-07 2021-06-11 中山大学 WSN clustering routing method based on goblet sea squirt algorithm optimization

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102843699A (en) * 2012-08-17 2012-12-26 天津大学 Wireless transmission method under application scenes of macro base stations and family base stations

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102843699A (en) * 2012-08-17 2012-12-26 天津大学 Wireless transmission method under application scenes of macro base stations and family base stations

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
WEI LI: "Clustering based resource allocation for inter-femtocell interference management", 《JOURNAL OF COMPUTATIONAL INFORMATION SYSTEMS S:4(2012)》 *
王伟: "双层无线异构网络下行干扰抑制方法研究", 《信息技术》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104486767A (en) * 2014-12-12 2015-04-01 重庆邮电大学 Cluster-based dynamic ABS interference rejection method in heterogeneous cellular network
CN104486767B (en) * 2014-12-12 2017-12-08 重庆邮电大学 Dynamic ABS disturbance restraining methods based on sub-clustering in isomery cellular network
CN108235440A (en) * 2018-03-20 2018-06-29 山东大学 Frequency spectrum resource allocation method and system based on interference threshold in Femtocell networks
CN108235440B (en) * 2018-03-20 2020-11-06 山东大学 Spectrum resource allocation method and system based on interference threshold in Femtocell network
CN112770385A (en) * 2020-12-29 2021-05-07 海能达通信股份有限公司 Signal transmission method, base station, terminal and computer storage medium
CN112954763A (en) * 2021-02-07 2021-06-11 中山大学 WSN clustering routing method based on goblet sea squirt algorithm optimization
CN112954763B (en) * 2021-02-07 2022-12-23 中山大学 WSN clustering routing method based on goblet sea squirt algorithm optimization

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