CN108834158A - A kind of interference management method for super-intensive networking - Google Patents
A kind of interference management method for super-intensive networking Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
- H04B17/3911—Fading models or fading generators
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/541—Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference
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Abstract
The present invention discloses a kind of interference management method for super-intensive networking, and this method includes：The interference weight of each user is calculated, and interference figure is constructed according to the interference weight of all users；Cluster is distributed to eliminate interference of the base station to user to all users in interference figure according to the interference weight of each user；User's received signal in same cluster is rebuild respectively and calculates the Signal to Interference plus Noise Ratio of each user；The total capacity of all users is calculated according to the user's Signal to Interference plus Noise Ratio being calculated.The present invention is under the system model of super-intensive network, the method for carrying out interference management is combined by network-side and user terminal, wherein network-side reduces the interference from base station and user, lifting system capacity using serial interference elimination receiver using the method for dividing group, user terminal respectively.The interference management scheme has stronger practicability in the following 5G super-intensive network environment.
Description
Technical field
The present invention relates to mobile communication fields.More particularly, to a kind of interference management method for super-intensive networking.
Background technique
Super-intensive networking be considered as promoted the 5th Generation Mobile Communication System capacity one of key technology, the technology be
A kind of novel networking mode of more low power nodes is disposed on the basis of heterogeneous network.In order to reduce data and control channel
Between interference, the transmission of control information, high band (30GHz to 300GHz) transmission number are carried out using low-frequency range (be less than 6GHz)
It is believed that breath, thus realize that control layer and data Layer are separated from each other, lifting system capacity.Future will generate in user indoors
50% voice service and data service more than 70%, therefore, in order to ensure that indoor service demand, the family in following base station
Base station will possess vital effect.One crucial challenge of super-intensive networking technology is exactly interference management problem.Due to
Home eNodeB is voluntarily disposed by user, it might even be possible to ON/OFF at any time.Therefore with the increase of cell density, whole network is opened up
Flutterring becomes increasingly complex, to introduce more serious interference.Operator no longer controls quantity and the position of Home eNodeB simultaneously,
Traditional interference management and optimization method becomes very inefficient, therefore the cross-layer interference in super-intensive networking is asked with same layer interference
Topic will be further serious, and a kind of the seeking effective interference management method of the task is extremely urgent.
There is enhancement type district interference coordination for the common solution of the interference problem in heterogeneous network at present
(enhanced Inter-cell Interference Coordination, eICIC) technology, dynamic resource allocation, cell model
Enclose extension (Cell Range Extension, CRE), building interference figure etc..The one kind of time domain eICIC as eICIC technology,
Typical technology is almost full empty frame (Almost Blank Subframe, ABSF), the technology and dynamic resource allocation technology
It can be effectively reduced the cross-layer interference between Home eNodeB and macro user, but defect is not account for same layer interference；Cell
Range extension can be reduced in uplink for a kind of technology that the burden proof load for mitigating macro base station is balanced and proposes
Existing cross-layer interference problem, but the user being located in spreading range can be made to receive the stronger interference of macro base station, therefore meeting
Reduce the signal quality of downlink；Building interference drawing method has been obviously improved cell while considering that same layer and cross-layer are interfered
The handling capacity of edge customer, but this method needs to be traversed for the geographical location information of each user to carry out the meter of interference weight
It calculates, and then constructs interference figure, with the dense deployment of cell, this method will have very high complexity.
Accordingly, it is desirable to provide a kind of interference management method for super-intensive networking.
Summary of the invention
It is an object of the present invention to provide a kind of interference management methods for super-intensive networking.
In order to achieve the above objectives, the present invention adopts the following technical solutions：
The interference weight of each user is calculated, and interference figure is constructed according to the interference weight of all users；
Cluster is distributed to all users in interference figure according to the interference weight of each user；
User's received signal in same cluster is rebuild respectively and calculates the Signal to Interference plus Noise Ratio of each user；
The total capacity of all users is calculated according to the user's Signal to Interference plus Noise Ratio being calculated.
Further, the interference weight for calculating each user includes the following steps：
The attribute that watt level judges user is received according to user；
The Signal to Interference plus Noise Ratio of each user is calculated according to user property；
The interference weight between every two user is calculated according to the Signal to Interference plus Noise Ratio of each user, and then calculates the dry of each user
Disturb weight.
Further, distributing cluster to all users in interference figure according to the interference weight of each user includes：
According to the interference weight of the distance between target user and other users and target user, the combined weights of corresponding target user are constructed
Value；
The Combining weights of all users are sorted, the user of clustering feature condition will be met according to the cluster pre-set
It is assigned in corresponding cluster.
Further, described that user's received signal in same cluster is rebuild respectively and calculates the letter of each user
Dry ratio of making an uproar：
The performance number of users all in same cluster is indicated in the matrix form；
Detection obtains the maximum user of performance number in matrix, calculates it according to the clustering feature that the user distributes and believes dry make an uproar
Than；
By the maximum user of performance number after excluding in matrix, detection obtains the maximum user of performance number in matrix again,
And its Signal to Interference plus Noise Ratio is calculated according to the clustering feature that the user distributes again, the Signal to Interference plus Noise Ratio until calculating all users.
Further, include according to the total capacity that the user's Signal to Interference plus Noise Ratio being calculated calculates all users：
The transmission bandwidth of user is calculated according to the clustering feature of each user distribution；
The capacity of each user is calculated according to the transmission bandwidth for each user being calculated and Signal to Interference plus Noise Ratio；
The capacity of each user is added up and obtains the overall system capacity of all users.
Further, the Combining weights for constructing corresponding target user include：
Calculate target user between other users at a distance from harmonic-mean；
Target is calculated apart from harmonic-mean with described in the interference weights sum after being weighted according to target user
The Combining weights of user.
Further, the Combining weights by all users sort, and will meet cluster according to the cluster pre-set
The user of characteristic condition is assigned in corresponding cluster：
The smallest user of Combining weights after sequence is assigned to a cluster, and Combining weights are met into the cluster threshold value model
Other users in enclosing are assigned to the cluster；
It sorts to unappropriated user again according to Combining weights size, and successively distributes the smallest user of Combining weights
Into corresponding cluster, until all users are assigned in corresponding cluster.
The invention also discloses a kind of computer readable storage medium, finger is stored in the computer readable storage medium
It enables, when the computer readable storage medium is run on computers, so that the computer executes above-mentioned method.
Beneficial effects of the present invention are as follows：
Under consideration in line link under the premise of same layer interference and cross-layer interference, network-side is subtracted the present invention using grouping method
The same layer of user is interfered in small base station, and the Home eNodeB in same macrocell reduces cross-layer using different subchannel transmission data
Interference, while user terminal further decreases the interference in same cluster between user using serial interference elimination receiver, mentions
The transmission rate for rising power system capacity and user has stronger practicability in the following 5G super-intensive network environment.
Detailed description of the invention
Specific embodiments of the present invention will be described in further detail with reference to the accompanying drawing.
Fig. 1 is interference management method flow chart of the present invention；
Fig. 2 is super-intensive cell isomery cellular network schematic diagram；
Fig. 3 is that network end user divides group's interference management method flow chart；
Fig. 4 is user terminal serial interference receiver method flow diagram；
Fig. 5 is the simulation result diagram of intersection user and power system capacity at base station range；
Fig. 6 is that base station range removes the simulation result diagram for sending and mailing user and power system capacity promotion percentage.
Specific embodiment
In order to illustrate more clearly of the present invention, the present invention is done further below with reference to preferred embodiments and drawings
It is bright.Similar component is indicated in attached drawing with identical appended drawing reference.It will be appreciated by those skilled in the art that institute is specific below
The content of description is illustrative and be not restrictive, and should not be limited the scope of the invention with this.
As illustrated in fig. 2, it is assumed that having L macrocell in the 5th Generation Mobile Communication System super-intensive cell deployment scene, each
Macro base station is respectively positioned on the center of cell, there is D home cell, M user under each macrocell coverage area.For maximum
Change the instantaneous service quality (Quality of Services, QoS) of user, the standard that the present invention chooses regulation user property is：
If macrocell, which provides power, is greater than home cell power, which is macro user, otherwise is domestic consumer.Consider at the same time same
Signal to Interference plus Noise Ratio (Signal to of the macro user m on subchannel n when layer and cross-layer interference, in any macrocell l
Interference plus Noise Ratio, SINR) be：
Wherein, Pl,nIndicate transmission power of the macrocell l on subchannel n, Pd,nIndicate home cell d on subchannel n
Transmission power, Pm'nIndicate transmission power of the user m on subchannel n,It is that the path loss of macrocell l to user m declines
Subtract factor,It is the fast fading channel energy between macrocell l to user m on subchannel n,It is home cell d to using
The pathloss attenuation factor of family m,It is the fast fading channel energy between home cell d to user m on subchannel n,It is pathloss attenuation factor of the target user m to interference user m', N0For noise power spectral density, W is signal transmission belt
Width, MlThe set (l ∈ { 1,2 ..., L }) constituted for macro user.
Similarly SINR of the domestic consumer m in available any home cell d on subchannel n is：
Wherein FlThe set (l ∈ { 1,2 ..., L }) constituted for domestic consumer.
As shown in Figure 1, present embodiments providing a kind of interference management method for super-intensive networking, which includes such as
Under：
S1, the interference weight for calculating each user, and interference figure is constructed according to the interference weight of all users.
When carrying out building interference figure, using user as the node of interference figure, indicate that the interference between two users is weighed with E
Value indicates the set of all user's compositions with V.Such as any two user u and user v interference weights sum is E (u, v), this
The interference figure at place is a non-directed graph, therefore, E (u, v)=E (v, u).Want to construct the interference figure of whole system, calculates dry
Disturbing weight is key, and step below is the calculation method of E (u, v).
Step 1：The Signal to Interference plus Noise Ratio SINR of each user is calculated according to formula (1) or (2).
Step 2：Using user u as target user, user v is as interference user, then the interference between user u and v is weighed
Value is：
It may further be calculated according to formula (3) using user v as target user, it is dry when user u is as interference user
Disturb weight λv,u。
Step 3：Compare λu,vAnd λv,uSize and take biggish value, which is defined as between user u and user v
It interferes weight E (u, v), is formulated as：
E (u, v)=E (v, u)=max (λu,v,λv,u) (4)
S2, cluster is distributed to all users in interference figure according to the interference weight.
The same layer of user is interfered as shown in figure 3, reducing base station by the way of dividing group in network-side.
Step 1：According to the weight E (u, v) of calculating, W is used hereintotal(u, v) is indicated, calculates the weight of each user
The sum of Wi, expression is：
Wherein, NuserIndicate the intersection number of users in each macrocell, Wtotal(u, v) is indicated between user u and user v
Weight.
Step 2：Define the distance between target user u and other users harmonic-mean duFor：
Wherein, du,vIndicate the distance between user u and user v.
Step 3：In conjunction with the weights sum W of each user calculated in formula (5)iIt is used with the target calculated in formula (6)
The distance between family and other users harmonic-mean du, rebuild a Combining weights Wupdate, expression formula is：
Wupdate=k1 × Wi+k2×A×du (7)
Wherein, A is a design constant, and k1, k2 are two weighting coefficients, and the condition that the two values meet is：
k1+k2=1 (8)
Step 4：By Combining weights WupdateIt is ranked up according to sequence from small to large, obtains array Unum, by UnumIn
For the smallest Elemental partition in face into first cluster, it includes group's head in each cluster which, which is referred to as group's head element,
Element.
Step 5：According to obtained Wtotal(u, v), from array UnumIn successively find meet Wtotal(u,v)≥WthCondition
User, assigned in cluster.Wherein Wth=Ncluster×w2, NclusterIndicate the number of the cluster of setting, w2It is one normal
Number, u indicate that the user having been dispensed into cluster, v indicate the also unallocated user into cluster.
Step 4 and five is repeated, until all users for meeting condition are assigned in cluster.
Step 6：By the W for the user not being allocatedupdateValue re-starts sequence from small to large and forms new array
Unum, the then step four and five in recurrent network end interference management scheme, until completing NclusterThe user of -1 cluster point
Timing stops operation；By array UnumIn remaining user be assigned to NclusterIn a cluster.
S3, user's received signal in same cluster is rebuild respectively and calculates the Signal to Interference plus Noise Ratio of each user.
As shown in figure 4, dividing user terminal after end of cluster that advanced serial interference elimination receiver is used to carry out signal to signal
It rebuilds to conciliate to transfer to further decrease in same cluster and be interfered between user.
WithThe power matrix for dividing all users of group is participated in expression system.
Step 1：Detect first and correctly reconcile out prominent user i in macrocell l, according to its be macro user or
Person domestic consumer selects formula (1) or (2) to calculate SINR respectively, wherein PliMeet the following conditions：
Step 2：P is deleted from power matrixli, i.e. P=P ﹨ { Pli, it is detected in matrix again according to formula (9)
Prominent user j, calculates the Signal to Interference plus Noise Ratio of the user, and user i there would not be the interference of j at this time, completes signal weight
Signal to Interference plus Noise Ratio after building is bigger than the Signal to Interference plus Noise Ratio calculated when building interference figure.
Step 3：Step one and two in the interference management scheme of duplicate customer end, until the letter for calculating all users is dry
It makes an uproar and compares, when calculating the Signal to Interference plus Noise Ratio of next user, the user excluded from matrix will be not present its interference, according to
Signal to Interference plus Noise Ratio according to this process until calculating all users.
User's Signal to Interference plus Noise Ratio that S4, basis are calculated, calculates the total capacity of all users.
Step 1：According to the attribute (macro user or domestic consumer) of each user, base station is calculated separately to every class user point
The transmission bandwidth matched, specific calculation formula are as follows：
bl,j=B/pl,j,l∈{1,2,...L} (10)
fl,d,k=B/pl,d,k,l∈{1,2,...L},d∈{1,2,...,D} (11)
Wherein, B indicates the assigned total bandwidth of system, and j indicates any one macro user in each macrocell, j ∈ Ml, k
Indicate any one domestic consumer in each home cell, k ∈ Fl, b indicate macrocell in macro user bandwidth matrices, f indicate
In macrocell in each home cell domestic consumer bandwidth matrices.
Step 2：It is utilized respectively the capacity that following two formula calculates each macro user and domestic consumer：
Cl,j=bl,j×log 2(1+SINRl,j) (12)
Cl,d,k=fl,d,k×log 2(1+SINRl,d,k) (13)
Formula (12) is macro user capacity, and formula (13) is domestic consumer's capacity.
Step 3：It is added up according to the capacity of the calculated each user of the step two in power system capacity, utilization is following
Formula calculate whole system capacity：
Specific emulation data as shown in Figure 5, Figure 6 are carried out below, to disclosed by the invention for super-intensive networking
Interference management method method is described further.
19 macrocells are distributed in the intensive isomery cell of a building, each macrocell coverage area radius is30 home cells of random distribution under each macrocell, to guarantee that user's communication requirement, the condition of generation are every two
The distance of a home cell is greater than 40m, and each home cell is greater than 75m at a distance from macrocell, and each home cell is covered
Lid range radius is 30m；120 users of random distribution under each macrocell coverage area；Channel model is believed using Rayleigh fading
Road, frequency duplex factor as one 1；According to standard, selection macrocell path loss is 128.1+37.6 × log10D, home cell road
Diameter loss is 140.7+36.7 × log10D, D indicate that the distance between macro base station and user, d indicate between Home eNodeB and user
Distance.
Fig. 5 is the simulation result diagram of intersection user and power system capacity at point group front and back base station range.It is whole from figure
Trend can be seen that the increase with intersection number of users, and the capacity of system is constantly reducing instead, this is because with base station
The increase of edge customer, the interference between user are also being continuously increased, and the Signal to Interference plus Noise Ratio of each user, which can constantly reduce, to be caused to hold
Amount reduces, therefore the capacity of whole system also can be reduced constantly.Three curves in figure are subjected to longitudinal comparison it can be found that working as
When number of users is identical at cell intersection, is promoted before the power system capacity score group after point group, illustrate that this method can reduce
Interference between Cell Edge User, lifting system performance.
Fig. 6 is the simulation result diagram that intersection user and power system capacity promote percentage at point group front and back base station range.
As can be seen from the figure at cell intersection user be continuously increased, although the interference between user constantly enhances, only net
Network end (tenant group) interference management and network-side and user terminal (advanced receiver) carry out two kinds of sides of interference management simultaneously
Case is all being continuously increased the percentage that power system capacity is promoted；One timing of user, bent from figure at cell coverage area intersection
Line is this it appears that network-side and the method for user terminal combination interference management are more advantageous, while with user at intersection
It is continuously increased, this advantage is more and more obvious.
The invention also discloses a kind of computer readable storage medium, finger is stored in the computer readable storage medium
It enables, when the computer readable storage medium is run on computers, so that the computer executes institute in above-described embodiment
The method stated.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention may be used also on the basis of the above description for those of ordinary skill in the art
To make other variations or changes in different ways, all embodiments can not be exhaustive here, it is all to belong to this hair
The obvious changes or variations that bright technical solution is extended out are still in the scope of protection of the present invention.
Claims (8)
1. a kind of interference management method for super-intensive networking, which is characterized in that this method includes：
The interference weight of each user is calculated, and interference figure is constructed according to the interference weight of all users；
Cluster is distributed to all users in interference figure according to the interference weight of each user；
User's received signal in same cluster is rebuild respectively and calculates the Signal to Interference plus Noise Ratio of each user；
The total capacity of all users is calculated according to the user's Signal to Interference plus Noise Ratio being calculated.
2. the interference management method according to claim 1 for super-intensive networking, which is characterized in that described to calculate each
The interference weight of user includes the following steps：
The attribute that watt level judges user is received according to user；
The Signal to Interference plus Noise Ratio of each user is calculated according to user property；
The interference weight between every two user is calculated according to the Signal to Interference plus Noise Ratio of each user, and then calculates the interference power of each user
Value.
3. the interference management method according to claim 1 for super-intensive networking, which is characterized in that according to described each
The interference weight of user distributes cluster to all users in interference figure：
According to the interference weight of the distance between target user and other users and target user, the group of corresponding target user is constructed
Close weight；
The Combining weights of all users are sorted, are distributed the user for meeting clustering feature condition according to the cluster pre-set
Into corresponding cluster.
4. the interference management method according to claim 3 for super-intensive networking, which is characterized in that described to same collection
User's received signal is rebuild respectively in group, and the Signal to Interference plus Noise Ratio for calculating each user includes：
The performance number of users all in same cluster is indicated in the matrix form；
Detection obtains the maximum user of performance number in matrix, calculates its Signal to Interference plus Noise Ratio according to the clustering feature that the user distributes；
By the maximum user of performance number after excluding in matrix, detection obtains the maximum user of performance number in matrix, and root again
Its Signal to Interference plus Noise Ratio is calculated again according to the clustering feature that the user distributes, the Signal to Interference plus Noise Ratio until calculating all users.
5. the interference management method according to claim 4 for super-intensive networking, which is characterized in that according to being calculated
User's Signal to Interference plus Noise Ratio calculate the total capacity of all users and include：
The transmission bandwidth of user is calculated according to the clustering feature of each user distribution；
The capacity of each user is calculated according to the transmission bandwidth for each user being calculated and Signal to Interference plus Noise Ratio；
The capacity of each user is added up and obtains the overall system capacity of all users.
6. the interference management method according to claim 3 for super-intensive networking, which is characterized in that the building corresponds to
The Combining weights of target user include：
Calculate target user between other users at a distance from harmonic-mean；
According to the interference weights sum of target user and the Combining weights that target user is calculated apart from harmonic-mean.
7. the interference management method according to claim 6 for super-intensive networking, which is characterized in that described that institute is useful
The Combining weights at family sort, and the user for meeting clustering feature condition is assigned in corresponding cluster according to the cluster pre-set
Including：
The smallest user of Combining weights after sequence is assigned to a cluster, and Combining weights are met within the scope of the cluster threshold value
Other users be assigned to the cluster；
It sorts to unappropriated user again according to Combining weights size, and is successively assigned to the smallest user of Combining weights pair
It answers in cluster, until all users are assigned in corresponding cluster.
8. a kind of computer readable storage medium, which is characterized in that instruction is stored in the computer readable storage medium, when
When the computer readable storage medium is run on computers, so that the computer perform claim requires any one of 1-7
The method.
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|---|---|
| CN108834158B (en) | 2020-12-25 |
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