CN106507463B - A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel - Google Patents
A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel Download PDFInfo
- Publication number
- CN106507463B CN106507463B CN201610828265.XA CN201610828265A CN106507463B CN 106507463 B CN106507463 B CN 106507463B CN 201610828265 A CN201610828265 A CN 201610828265A CN 106507463 B CN106507463 B CN 106507463B
- Authority
- CN
- China
- Prior art keywords
- home enodeb
- channel
- macro
- cluster
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000001413 cellular effect Effects 0.000 title claims abstract description 12
- 230000005540 biological transmission Effects 0.000 claims abstract description 39
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 22
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000003595 spectral effect Effects 0.000 claims description 3
- 230000032696 parturition Effects 0.000 claims 1
- 238000001228 spectrum Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 230000007423 decrease Effects 0.000 description 5
- 238000013468 resource allocation Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005562 fading Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
- H04W52/244—Interferences in heterogeneous networks, e.g. among macro and femto or pico cells or other sector / system interference [OSI]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
- H04W52/36—TPC using constraints in the total amount of available transmission power with a discrete range or set of values, e.g. step size, ramping or offsets
- H04W52/367—Power values between minimum and maximum limits, e.g. dynamic range
-
- 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
- H04W72/0473—Wireless resource allocation based on the type of the allocated resource the resource being transmission power
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of isomery cellular network resource distribution methods based on the heuristic sub-clustering of multichannel, in clustering process, this method allows one family base station to be added in multiple clusters and carries out combined channel distribution with macro user, Home eNodeB is set to obtain multiple channels, then non-cooperative game model is established for the transmission power of Home eNodeB on each channel in two-tier network, the utility function of definition considers not only the effectiveness of the domestic consumer, it is also contemplated that interference to domestic consumer and Hong user.Steps are as follows: oriented interference figure is established for home base station network first, and Home eNodeB is added in multiple clusters according to multichannel heuristic cluster algorithm, channel is distributed later for macro user and matches with cluster, shared channel；Then found a family each channel in base station transmission power game, optimal power set when by obtaining balanced after successive ignition, Home eNodeB adjusts transmission power according to set.
Description
Technical field
The invention belongs to fields of communication technology, are related to a kind of isomery cellular network resource based on the heuristic sub-clustering of multichannel
Distribution method.
Background technique
Frequency spectrum resource is limited in wireless communication system, and for that can service user as much as possible, many use are given in base station
Identical frequency spectrum resource is distributed at family.This method can sufficiently use frequency spectrum resource, but to using between the user of same frequency spectrum
Introduce interference.When the interference that user is subject to is excessive, transmission information will be made to generate mistake and even result in communication disruption, therefore
The interference between user must be reduced by reasonably resource allocation.In layered heterogeneous network, home base station network and macro small
Area provides radio communication service simultaneously for the user in coverage area, in order to reduce cochannel interference, needs to make each user
Channel is allocated and power control.
In layered heterogeneous network, home base station network and macrocell provide channel radio simultaneously for the user in coverage area
Telecommunications services need the channel used each user to be allocated, wherein opening based on graph theory to reduce cochannel interference
It is to implement fairly simple one kind that hairdo cluster algorithm, which distributes channel,.The algorithm is by being divided into multiple clusters for Home eNodeB
And the multiplexing of channel is assigned with macro user's combined channel, reduce same layer interference and cross-layer interference between user.But the algorithm
A channel only is distributed for Home eNodeB, is not able to satisfy the requirement of Home eNodeB multi-user, the availability of frequency spectrum is not high enough.Meanwhile
It is also less for the power control research on Home eNodeB channel in existing research, it is only to consider each Home eNodeB one mostly
The case where domestic consumer.
Therefore for layered heterogeneous network downlink scene, the present invention makes improvement to the cluster algorithm based on graph theory, utilizes
The heuristic cluster algorithm of multichannel and game theory are analyzed the interference in network and are managed, and are reached by reasonable resource allocation
To the purpose for guaranteeing user performance, improving the availability of frequency spectrum.The present invention makes Home eNodeB using the heuristic cluster algorithm of multichannel
It is added in multiple clusters, so that Home eNodeB is able to use multiple channels by the combined channel distribution to macro user and domestic consumer,
Non-cooperative game model is established later, game is carried out to the transmission power of each channel of Home eNodeB, control and do caused by Home eNodeB
It disturbs, ensures the communication performance of user.
Summary of the invention
Technical problem: the purpose of the present invention is providing in a kind of layered heterogeneous network to can make full use of frequency spectrum resource, subtract
Few same layer interference and cross-layer interference, guarantee the resource allocation side based on the heuristic sub-clustering of multichannel of all user communication qualities
Method.
Technical solution: the isomery cellular network resource distribution method of the invention based on the heuristic sub-clustering of multichannel, including
Following steps:
1) combined channel distributes
1.1) Home eNodeB set { V }={ v is defined1,v2,......,vF, { viRepresent Home eNodeB i, Home eNodeB
Number be F, it is M that macro number of users is equal with the number of channel, and the Initial Trans of Home eNodeB are identical, each Home eNodeB
Transmission power is Pi, the channel of Home eNodeB i distribution is TiIt is a；
1.2) Home eNodeB i calculates the interference weight by Home eNodeB j, and formula is as follows:
WhereinIt is channel gain of the Home eNodeB j to Home eNodeB i user's interference signal,It is i pairs of Home eNodeB
The channel gain of this base station user useful signal, δ are the thresholdings of weight, less than this thresholding can be considered as two Home eNodeB it
Between do not interfere with, pass through formulaThe sum of be disturbed weight of Home eNodeB i is found out, interference weight set is formed
{ W }={ w1,w2,......,wF}；
1.3) by Home eNodeB by interference weight wiDescending arrangement, the new set { V'} after forming Home eNodeB sequence；
1.4) Home eNodeB is divided by cluster { C according to number of channel Mn}n∈M:
1.4.1 successively from Home eNodeB set { one family base station i is taken out in V'}, cluster C is addedn, cluster CnIt can be to family's base
The i that stands generates the Home eNodeB number interfered{vi' it is cluster CnIn to Home eNodeB i generate interference collection of base stations, cluster
CnThe sum of increased weight isIt is chosen from all clustersThe smallest preceding TiA cluster is by Home eNodeB
It is added, { leaves out the Home eNodeB in V'} from Home eNodeB set；
1.4.2 step 1.4.1 is repeated up to { V'} is sky to Home eNodeB set, then Home eNodeB sub-clustering is completed；
1.5) Home eNodeB and macro user's combined channel distribute:
1.5.1 macro number of users is M, and Hong Yonghuji is combined into { Mu, wherein u be macro user serial number, by macro user according to
Apart from macro base station from closely being arranged to remote sequence, obtains new macro user and gather { Mu', u' is the serial number of macro user after sequence, and presses
A channel is distributed according to macro user is sequentially followed successively by；
1.5.2 gather { M from macro user in sequenceu'One macro user m of middle taking-up, it is calculated by cluster CnInterference with
The sum of noise For Home eNodeB i to the channel gain of macro user m interference signal, from
Gathering closes { CnIn selection one make INnThe smallest cluster Cn'Macro user m is matched with the cluster, the Home eNodeB in cluster with it is macro
User uses same channel, and the Home eNodeB cluster and macro user are closed { C from Home eNodeB gatheringnAnd macro user set { Mu'}
In leave out；
1.5.3 step 1.5.2 is repeated until Home eNodeB gathering closes { CnAnd macro user set { Mu'It is all sky, joint letter
Road is assigned；
2) each channel emission power of Home eNodeB is distributed
2.1) it initializes: setting ε=10-5, time=0, the transmission power of each channel of Home eNodeB is { Pi,t}(time)=
{Pmax/Ti, wherein Pmax is Home eNodeB maximum transmission power, TiThe number of channel used for Home eNodeB i；
2.2) each channel emission power of Home eNodeB is calculated, formula is as follows:
Wherein B is channel width, and k is the coefficient of penalty term,It is Home eNodeB i to the channel of macro user m interference signal
Gain,For Home eNodeB i other are used with the sum of the interference signal channel gain of domestic consumer of channel t,It is family
Signal to Interference plus Noise Ratio of the front yard base station i on channel t, calculation formula areCnIt is to make
With the Home eNodeB cluster of channel t,For cluster CnIn other Home eNodeB on channel t to Home eNodeB i user's
The sum of interference, PmIt is macro base station total transmission power, M is macro number of users,For the interference of the user of macro base station to Home eNodeB i
Signaling channel gain,It is interference caused by macro base station, N0 is the noise power spectral density of system, and B is channel width,
N0*B is the noise on channel.Transmission power is restricted on each channel, is 0 < Pi,t≤Pmax/Ti, Pmax is Home eNodeB
Maximum transmission power, the maximum power on each channel are the quotient of Home eNodeB total transmission power and number of users；
2.3) after executing step 2.2, check the power on each channel of each Home eNodeB with last power whether completely
Footε is iteration threshold, if conditions are not met, enabling time=time+1, algorithm jumps to step
Rapid 2.2 continue to execute；If it is satisfied, then game terminates；It is final to obtain each channel emission power set of Home eNodeBHome eNodeB adjusts transmission power accordingly.
The present invention is based on two layers of scenes of home base station network in layered heterogeneous network and cellular network, in wireless network
Power resource, channel resource make reasonable distribution.Improvement is made to the heuristic cluster algorithm based on graph theory, is initially set up
Oriented interference figure and the interference weight for calculating each Home eNodeB, Home eNodeB is added in multiple clusters, by joining with macro user
Closing channel distribution makes Home eNodeB be able to use multiple channels, improves the availability of frequency spectrum of system.
The method of the present invention builds non-cooperative game model using game theory principle, and game had both considered gulping down for each domestic consumer
The amount of spitting, it is also considered that the interference to macro user and other domestic consumers on this channel of Home eNodeB transmission power both improved
The handling capacity of domestic consumer, and ensured other users performance.
Beneficial effect
Compared with prior art, the present invention having the advantage that
1, the case where being different from general heuristic cluster algorithm, the present invention is made that improvement to the algorithm, so that family
Base station can obtain multiple channels by using the algorithm and combined channel distribution.
2, the power game playing algorithm proposed is directed to each channel of Home eNodeB, individually adjusts to the power of each channel
It is whole；Utility function is interfered caused by different user to Home eNodeB transmission power and sets punishment, to the interference of macro user
Punishment is greater than to domestic consumer, protects the performance of macro user emphatically.
3, Home eNodeB and macro user's combined channel are distributed using graph theory, while in view of cross-layer interference and same layer are dry
It disturbs, so that channel division is more reasonable, reduces the Home eNodeB cluster using same channel and the interference of macro user, ensure that macro
The performance of user also has some improvement to the performance of domestic consumer.
Detailed description of the invention
Fig. 1 is two-tier network downlink illustraton of model.
Fig. 2 is the flow diagram of the method for the present invention.
Fig. 3, Fig. 4, Fig. 5, Fig. 6 are the outage probability of user and the simulation result diagram of network throughput in two-tier network.
Specific embodiment
It is described in detail below with reference to example and 1,2 pair of the Figure of description technical solution invented:
The present invention makes reasonable point to power resource, the channel resource in layered heterogeneous network using graph theory and game theory
Match: improvement is made to the heuristic cluster algorithm based on graph theory, is that home base station network establishes oriented interference figure first with graph theory
Model calculates each Home eNodeB and the interference weight being subject to after cluster is added, and according to interference weight that Home eNodeB addition is more
In a cluster, each macro user distributes after channel and selects suitable cluster pairing according to the interference size being subject on cluster, the family in cluster
Front yard base station can use the channel of the macro user of pairing, therefore Home eNodeB can obtain multiple channels；It is family using game theory
Each channel emission power in base station establishes non-cooperative game model, game consider domestic consumer handling capacity and caused by do
It disturbs, optimal transmission power set is obtained after multiple game.
The isomery cellular network downlink scene that the present invention studies is as shown in Figure 1, the isomery based on the heuristic sub-clustering of multichannel
The overview flow chart of cellular network resource distribution method is shown in attached drawing 2.
A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel of the invention, including following step
It is rapid:
1) combined channel distributes
1.1) Home eNodeB set { V }={ v is defined1,v2,......,vF, { viRepresent Home eNodeB i, Home eNodeB
Number be F, it is M that macro number of users is equal with the number of channel, and the transmission power of Home eNodeB i is Pi, all Home eNodeB are initial
Transmission power is identical, is Pf, the channel of Home eNodeB i distribution is TiIt is a.
A distance can be passed through from Base Transmitter to user's received signal, generate decline, size and the two of decline
Between distance d it is related.The decline formula of the fading model used in this method is as follows:
(1) decline of the macro base station to macro user:
PL (dB)=30+40*log10 (d)+10 (1)
(2) Home eNodeB is to domestic consumer, Home eNodeB to macro user, the decline of macro base station to domestic consumer
As d > 15,
PL (dB)=60+25*log10 (15)+40*log10 (d-15)+10 (2)
As d≤15,
PL (dB)=40+25*log10 (d)+10 (3)
The channel gain of user can be obtained by channel fading.The channel gain of macro base station to macro user m isFamily
The channel gain of base station i to macro user m isThe channel gain of Home eNodeB i to domestic consumer j isMacro user's
Range is m ∈ { 1,2 ..., M }, and the range of Home eNodeB is i ∈ { 1,2 ..., F }.
Interference of the domestic consumer i by Home eNodeB j, representation are as follows:
1.2) home consumer device detects the interference Ig oneself being subject toi,j, calculate the interference weight from Home eNodeB j.
As it is assumed that it is P that Home eNodeB Initial Trans are equalf, then interference weight calculation of the Home eNodeB i by Home eNodeB j
Formula is:
Wherein δ is the thresholding for interfering weight, then thinks not interfering between Home eNodeB less than thresholding.Pass through formulaThe sum of be disturbed weight of Home eNodeB i is found out, interference weight set { W }={ w is formed1,w2,......,
wF}。
1.3) Home eNodeB is formed family's base and is newly gathered { V'} by interference weight descending arrangement；
1.4) Home eNodeB is divided by cluster { C according to number of channel Mn}n∈M。
1.4.1 successively from Home eNodeB set { one family base station i is taken out in V'}, cluster C is addedn, cluster CnIt can be to family's base
The i that stands generates the Home eNodeB number interferedWherein { v'iIt is cluster CnThe middle family that interference can be generated to Home eNodeB i
The set of base station.Be be added cluster n after cluster interference weight growth, calculate the Home eNodeB be added cluster after increased weight it
With formula is as follows.
All clusters are all calculatedThe set for increasing weight is formed afterwardsIt is chosen from setThe smallest preceding Ti
A Home eNodeB cluster Cn'Home eNodeB i is added, { leaves out the Home eNodeB in V'} from Home eNodeB set.
1.4.2 1.4.1 step is repeated up to { V'} is sky to Home eNodeB set, then Home eNodeB sub-clustering is completed.
1.5) Home eNodeB and macro user's combined channel distribute.
1.5.1 macro number of users is M, and Hong Yonghuji is combined into { Mu, wherein u be macro user serial number, by macro user according to
Apart from macro base station from closely being arranged to remote sequence, obtains new macro user and gather { Mu', u' is the serial number of macro user after sequence, and presses
A channel is distributed according to macro user is sequentially followed successively by；
1.5.2 gather { M from macro user in sequenceu'One macro user m of middle taking-up, it is calculated by cluster CnInterference with
The sum of noise For Home eNodeB i to the channel gain of macro user m interference signal, from
Gathering closes { CnIn selection one make INnThe smallest cluster Cn'Macro user m is matched with the cluster, the Home eNodeB in cluster with it is macro
User uses same channel, and the Home eNodeB cluster and macro user are closed { C from Home eNodeB gatheringnAnd macro user set { Mu'}
In leave out；
1.5.3 step 1.5.2 is repeated until Home eNodeB gathering closes { CnAnd macro user set { Mu'It is all sky, joint letter
Road is assigned.
2) each channel emission power of Home eNodeB is distributed
2.1) the channel distribution situation of the Home eNodeB according to obtained in the step 1) and macro user, while acquiring each base
The information stood carries out game using non-cooperative model to the transmission power of each channel of Home eNodeB, and designs utility function.
The present invention uses non-cooperative game to Home eNodeB transmission power, and the number of users in each Home eNodeB is random but is less than
Total number of channels, each domestic consumer use a channel, the transmission power on each channel of Home eNodeB game, and game is arranged such as
Under:
Wherein I is Home eNodeB set, and each user uses a channel,Respectively believe for Home eNodeB
The set of road transmission power, TiFor the channel that Home eNodeB i is used,For the utility function set of Home eNodeB.
Utility function had both considered the handling capacity of domestic consumer, it is further contemplated that the interference to other users, is defined as:
Wherein first item is handling capacity of the Home eNodeB i on channel t,It is that letter of the Home eNodeB i on channel t is dry to make an uproar
Than calculation formula are as follows:
CnIt is the Home eNodeB cluster using channel t,For cluster CnIn other Home eNodeB on channel t to family
The sum of the interference of front yard base station i user, PmIt is macro base station total transmission power, M is macro number of users,For macro base station to Home eNodeB i
User interference signal channel gain,It is interference caused by macro base station, N0 is the noise power spectral density of system,
B is channel width, and N0*B is the noise on channel.Section 2 be Home eNodeB i on channel t to the macro user for using channel t
The punishment interfered with domestic consumer, k are the coefficients of penalty term.Transmission power is restricted on each channel, are as follows: 0 < Pi,t≤
Pmax/Ti, Pmax is the maximum transmission power of Home eNodeB, and the maximum power on each channel is Home eNodeB total transmission power
With the quotient of number of users.
When the Home eNodeB power that game goes out no longer changes, game just reaches Nash Equilibrium.When reaching Nash Equilibrium,
Any one game person cannot rely on the strategy for individually changing oneself to obtain better benefit, it can indicate are as follows:
At this timeIt is exactly the Nash Equilibrium Solution of power game.
2.2) it initializes: setting ε=10-5, time=0, the transmission power of each channel of Home eNodeB is { Pi,t}(time)=
{Pmax/Ti, wherein Pmax is Home eNodeB maximum transmission power, TiThe number of channel used for Home eNodeB i；
2.3) Home eNodeB adjusts each channel emission power according to formula, and formula is as follows:
Wherein B is channel width, and k is the coefficient of penalty term,It is Home eNodeB i to the channel of macro user m interference signal
Gain,For Home eNodeB i other are used with the sum of the interference signal channel gain of domestic consumer of channel t,It is family
Signal to Interference plus Noise Ratio of the front yard base station i on channel t.
Meanwhile each channel emission power is limited, also needs to bring formula into:
Each Home eNodeB finds out the transmission power of Home eNodeB according to formula (11) and (12), obtains Home eNodeB and emits function
Rate set set.
2.4) after executing step 2.3, check the power on each channel of each Home eNodeB with last power whether completely
Footε is iteration threshold, if conditions are not met, enabling time=time+1, algorithm jumps to step
Rapid 2.3 continue to execute；If it is satisfied, then game terminates；It is final to obtain each channel emission power set of Home eNodeBHome eNodeB adjusts transmission power accordingly.
In conclusion the present invention uses graph theory thought to be built with for home base station network in layered heterogeneous network downlink scene
To interference graph model, Home eNodeB disturbed condition is calculated according to interference weight calculation formula, and be based on improved heuristic sub-clustering
Home eNodeB is divided into multiple clusters by algorithm, carries out combined channel distribution with macro user.Hereafter, to Home eNodeB in occupied letter
Transmission power on road uses non-cooperative game model, reaches the balanced best transmission power collection for obtaining Home eNodeB by iteration
It closes.
As shown in attached drawing 3 and Fig. 4, based on the isomery cellular network resource distribution method of the heuristic sub-clustering of multichannel in family
User's outage probability is similar to sub-clustering but non-power control algorithm, and lower than no sub-clustering and power control, interrupts in macro user
To be lower than other two kinds of algorithms on probability；Isomery cellular network resource based on the heuristic sub-clustering of multichannel in attached drawing 5 and attached drawing 6
Distribution method is due to reducing the interference to other users, the phase of Home eNodeB total throughout and sub-clustering but non-power control algorithm
Closely, but it is greater than no sub-clustering and power control algorithm, and the handling capacity of macro base station is better than other two algorithm.
Claims (1)
1. a kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel, which is characterized in that including following
Step:
1) combined channel distributes
1.1) Home eNodeB set { V }={ v is defined1,v2,......,vF, { viRepresent Home eNodeB i, the number of Home eNodeB
For F, macro number of users is equal with the number of channel, is M, and the Initial Trans of Home eNodeB are identical, and each Home eNodeB emits function
Rate is Pi, the channel of Home eNodeB i distribution is TiIt is a；
1.2) interference weight of the Home eNodeB i by Home eNodeB j is calculatedWhereinIt is
Home eNodeB j to the channel gain of Home eNodeB i user's interference signal,It is Home eNodeB i to this base station user useful signal
Channel gain, δ is the thresholding of weight, is considered as between two Home eNodeB less than this thresholding and does not interfere with, passes through formulaThe sum of be disturbed weight of Home eNodeB i is found out, interference weight set { W }={ w is formed1,w2,......,wF}；
1.3) by Home eNodeB by interference weight wiDescending arrangement, the new set { V'} after forming Home eNodeB sequence；
1.4) Home eNodeB is divided by cluster { C according to number of channel Mn}n∈M:
1.4.1 successively from Home eNodeB set { one family base station i is taken out in V'}, cluster C is addedn, cluster CnHome eNodeB i can be produced
Giving birth to the Home eNodeB number interfered is{v′iIt is cluster CnIn to Home eNodeB i generate interference collection of base stations, cluster CnIncrease
The sum of weight added isW is chosen from all clustersi nThe smallest preceding TiA cluster adds Home eNodeB
Enter, { leaves out the Home eNodeB in V'} from Home eNodeB set；
1.4.2 step 1.4.1 is repeated up to { V'} is sky to Home eNodeB set, then Home eNodeB sub-clustering is completed；
1.5) Home eNodeB and macro user's combined channel distribute:
1.5.1 macro number of users is M, and Hong Yonghuji is combined into { Mu, wherein u is the serial number of macro user, by macro user according to apart from macro
Base station obtains new macro user and gathers { M from closely arranging to remote sequenceu', u' is the serial number of macro user after sequence, and in sequence
It is followed successively by macro user and distributes a channel；
1.5.2 gather { M from macro user in sequenceu'One macro user m of middle taking-up, it is calculated by cluster CnInterference and noise
The sum of It is Home eNodeB i to the channel gain of macro user m interference signal, from gathering
Close { CnIn selection one make INnThe smallest cluster Cn'Macro user m is matched with the cluster, the Home eNodeB in cluster and macro user
Using same channel, the Home eNodeB cluster and macro user are closed into { C from Home eNodeB gatheringnAnd macro user set { Mu'In delete
It goes；
1.5.3 step 1.5.2 is repeated until Home eNodeB gathering closes { CnAnd macro user set { Mu'It is all sky, combined channel point
With completion；
2) each channel emission power of Home eNodeB is distributed
2.1) it initializes: setting ε=10-5, time=0, the transmission power of each channel of Home eNodeB is { Pi,t}(time)={ Pmax/
Ti, wherein Pmax is Home eNodeB maximum transmission power, TiThe number of channel used for Home eNodeB i；
2.2) each channel emission power of Home eNodeB is calculated
Wherein B is channel width, and k is the coefficient of penalty term,It is Home eNodeB i to the channel gain of macro user m interference signal,For Home eNodeB i other are used with the sum of the interference signal channel gain of domestic consumer of channel t,It is family's base
It stands Signal to Interference plus Noise Ratio of the i on channel t, calculation formula isCnIt is using letter
The Home eNodeB cluster of road t,For cluster CnIn interference of other Home eNodeB on channel t to Home eNodeB i user
The sum of, PmIt is macro base station total transmission power, M is macro number of users,For the interference signal of the user of macro base station to Home eNodeB i
Channel gain,It is interference caused by macro base station, N0 is the noise power spectral density of system, and B is channel width, N0*B
It is the noise on channel；Transmission power is restricted on each channel, is 0 < Pi,t≤Pmax/Ti, Pmax is Home eNodeB maximum
Transmission power, the maximum power on each channel is the quotient of Home eNodeB total transmission power and number of users；
2.3) after executing step 2.2, check whether the power and last power on each channel of each Home eNodeB meetε is iteration threshold；If conditions are not met, enabling time=time+1, algorithm jumps to step
Rapid 2.2 continue to execute；If it is satisfied, then game terminates；It is final to obtain each channel emission power set of Home eNodeBHome eNodeB adjusts transmission power accordingly.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610828265.XA CN106507463B (en) | 2016-09-19 | 2016-09-19 | A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610828265.XA CN106507463B (en) | 2016-09-19 | 2016-09-19 | A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106507463A CN106507463A (en) | 2017-03-15 |
| CN106507463B true CN106507463B (en) | 2019-07-16 |
Family
ID=58291448
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610828265.XA Active CN106507463B (en) | 2016-09-19 | 2016-09-19 | A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106507463B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107517464B (en) * | 2017-08-16 | 2020-12-22 | 重庆邮电大学 | Interference management and resource allocation method in heterogeneous network |
| CN107995034B (en) * | 2017-11-30 | 2020-12-08 | 华北电力大学（保定） | Energy and service cooperation method for dense cellular network |
| CN108449149B (en) * | 2018-03-26 | 2020-12-15 | 南京邮电大学 | Energy acquisition small base station resource allocation method based on matching game |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101237453A (en) * | 2008-03-05 | 2008-08-06 | 中科院嘉兴中心微系统所分中心 | Design scheme for wireless sensor network sector protocol based on CDMA and TDMA |
| CN101697628A (en) * | 2009-10-23 | 2010-04-21 | 北京邮电大学 | Method for distributing downlink dynamic resources in hybrid network of macrocell and femtocell |
| CN102664855A (en) * | 2012-04-27 | 2012-09-12 | 南京邮电大学 | Orthogonal frequency division multiplexing (OFDM)-based channel assignment method in two-layer network |
| CN102781085A (en) * | 2012-07-27 | 2012-11-14 | 南京邮电大学 | Femtocell power control method based on interference limitation |
| CN102811443A (en) * | 2012-07-27 | 2012-12-05 | 南京邮电大学 | Interference management method based on spectrum allocation and power control in family base station system |
| CN102883424A (en) * | 2012-10-15 | 2013-01-16 | 南京邮电大学 | Game-theory-based power distribution method in home base station system |
| CN104168653A (en) * | 2014-05-26 | 2014-11-26 | 南京邮电大学 | Interference management-based combined resource allocation for macro base station and family base station |
| CN105848296A (en) * | 2016-06-01 | 2016-08-10 | 南京邮电大学 | Stackelberg game-based resource allocation method |
-
2016
- 2016-09-19 CN CN201610828265.XA patent/CN106507463B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101237453A (en) * | 2008-03-05 | 2008-08-06 | 中科院嘉兴中心微系统所分中心 | Design scheme for wireless sensor network sector protocol based on CDMA and TDMA |
| CN101697628A (en) * | 2009-10-23 | 2010-04-21 | 北京邮电大学 | Method for distributing downlink dynamic resources in hybrid network of macrocell and femtocell |
| CN102664855A (en) * | 2012-04-27 | 2012-09-12 | 南京邮电大学 | Orthogonal frequency division multiplexing (OFDM)-based channel assignment method in two-layer network |
| CN102781085A (en) * | 2012-07-27 | 2012-11-14 | 南京邮电大学 | Femtocell power control method based on interference limitation |
| CN102811443A (en) * | 2012-07-27 | 2012-12-05 | 南京邮电大学 | Interference management method based on spectrum allocation and power control in family base station system |
| CN102883424A (en) * | 2012-10-15 | 2013-01-16 | 南京邮电大学 | Game-theory-based power distribution method in home base station system |
| CN104168653A (en) * | 2014-05-26 | 2014-11-26 | 南京邮电大学 | Interference management-based combined resource allocation for macro base station and family base station |
| CN105848296A (en) * | 2016-06-01 | 2016-08-10 | 南京邮电大学 | Stackelberg game-based resource allocation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106507463A (en) | 2017-03-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105848296B (en) | A kind of resource allocation methods based on stackelberg game | |
| CN104955077B (en) | A kind of heterogeneous network cell cluster-dividing method and device based on user experience speed | |
| CN104768162B (en) | A kind of pilot tone dynamic allocation method of the extensive mimo system of multiple cell | |
| CN107466099B (en) | Interference management self-optimization method based on non-orthogonal multiple access | |
| Zhang et al. | Resource allocation with interference mitigation in OFDMA femtocells for co-channel deployment a | |
| CN104105193B (en) | A kind of power distribution method based on Starckelberg games in heterogeneous network | |
| Semiari et al. | Matching theory for priority-based cell association in the downlink of wireless small cell networks | |
| CN102664855B (en) | Orthogonal frequency division multiplexing (OFDM)-based channel assignment method in two-layer network | |
| CN106507463B (en) | A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel | |
| Liu et al. | Nash bargaining solution based user association optimization in HetNets | |
| CN103369542A (en) | Game theory-based common-frequency heterogeneous network power distribution method | |
| CN105050176A (en) | Stackelberg game power control method based on interruption probability constraint in cognitive radio network | |
| CN110677175A (en) | Sub-channel scheduling and power distribution joint optimization method based on non-orthogonal multiple access system | |
| Yu et al. | Dynamic resource allocation in TDD-based heterogeneous cloud radio access networks | |
| CN104168653B (en) | A kind of macro base station based on interference management and Home eNodeB federated resource distribution method | |
| CN104507153B (en) | Small cell power control method under OFDMA | |
| CN104640185A (en) | Cell dormancy energy-saving method based on base station cooperation | |
| CN104159314B (en) | The distributed energy saving resources distribution method of heterogeneous network | |
| CN105764068B (en) | A kind of small Base Station Compatibility and coverage optimization method based on TABU search | |
| Liu et al. | Game-theoretic hierarchical resource allocation in ultra-dense networks | |
| CN106412988A (en) | Improved weighted graph-based super dense heterogeneous network interference coordination method | |
| CN102970683A (en) | Graph theory based multi-cell two-layer network spectrum allocation method | |
| CN104105100B (en) | Downlink interference elimination method and system based on pseudorandom channel selection strategies | |
| Liu et al. | Distributed enhanced inter-cell interference coordination (eICIC) in LTE-Advanced HetNets: A potential game approach | |
| CN103428843A (en) | Power coordinating method integrating effectiveness of near field users and effectiveness of distant filed users |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |