CN106507463A - 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 PDF

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CN106507463A
CN106507463A CN201610828265.XA CN201610828265A CN106507463A CN 106507463 A CN106507463 A CN 106507463A CN 201610828265 A CN201610828265 A CN 201610828265A CN 106507463 A CN106507463 A CN 106507463A
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home enodeb
channel
cluster
interference
user
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CN106507463B (en
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朱琦
王学婷
朱洪波
杨龙祥
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Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/18TPC being performed according to specific parameters
    • H04W52/24TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/243TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
    • H04W52/244Interferences in heterogeneous networks, e.g. among macro and femto or pico cells or other sector / system interference [OSI]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W52/00Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04TPC
    • H04W52/30TPC using constraints in the total amount of available transmission power
    • H04W52/36TPC 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
    • H04W52/367Power values between minimum and maximum limits, e.g. dynamic range
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • H04W72/0473Wireless resource allocation based on the type of the allocated resource the resource being transmission power
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/541Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference

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  • 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 method based on the heuristic sub-clustering of multichannel, in clustering process, the method allows one family base station to add in multiple clusters and carry out combined channel distribution with grand user, Home eNodeB is made to obtain multiple channels, then non-cooperative game model is set up for Home eNodeB transmission power 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.Step is as follows:Oriented interference figure is set up for home base station network first, and Home eNodeB is added in multiple clusters according to the heuristic cluster algorithm of multichannel, distribute channel for grand user afterwards and match with cluster, shared channel;The game of the transmission power of each channel of Home eNodeB is then set up, optimal power set when obtaining balanced after successive ignition, Home eNodeB is according to set adjustment transmission power.

Description

A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel
Technical field
The invention belongs to communication technical field, is related to a kind of isomery cellular network resource based on the heuristic sub-clustering of multichannel Distribution method.
Background technology
Wireless communication system intermediate frequency spectrum resource is limited, is to service user as much as possible, and many use are given in base station Distribute identical frequency spectrum resource in family.This method can fully using frequency spectrum resource, but between the user using same frequency spectrum Introduce interference.When the interference that user is subject to is excessive, transmission information will be made to produce mistake and to even result in communication disruption, therefore Must be by reasonably resource allocation reducing the interference between user.In layered heterogeneous network, home base station network and grand little Area provides radio communication service for the user in coverage simultaneously, 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 for the user in coverage simultaneously Telecommunications services, in order to reduce cochannel interference, need to each user using channel be allocated, wherein, opening based on graph theory Hairdo cluster algorithm distribution channel is to implement fairly simple one kind.The algorithm is by being divided into multiple clusters by Home eNodeB And the multiplexing of channel is assigned with grand user's combined channel, reduce the same layer interference between user and cross-layer is disturbed.But the algorithm Only distribute a channel for Home eNodeB, it is impossible to meet the requirement of Home eNodeB multi-user, the availability of frequency spectrum is not high enough.Meanwhile, For the Power Control research on Home eNodeB channel is also less in existing research, it is only to consider each Home eNodeB one mostly The situation of domestic consumer.
Therefore for the descending scene of layered heterogeneous network, the present invention is utilized to making improvement based on the cluster algorithm of graph theory The heuristic cluster algorithm of multichannel and game theory are reached by rational resource allocation analyzing the interference in network and be managed To the purpose for ensureing user performance, improving the availability of frequency spectrum.The present invention makes Home eNodeB using the heuristic cluster algorithm of multichannel Add in multiple clusters, Home eNodeB enable using multiple channels by the combined channel distribution to grand user and domestic consumer, Set up non-cooperative game model afterwards carries out game to the transmission power of each channel of Home eNodeB, and it is dry that control Home eNodeB is caused Disturb, ensure the communication performance of user.
Content of the invention
Technical problem:The purpose of the present invention is to be given in a kind of layered heterogeneous network to make full use of frequency spectrum resource, subtracts Few interference with layer is disturbed with cross-layer, it is ensured that the resource allocation side based on the heuristic sub-clustering of multichannel of all user communication qualities Method.
Technical scheme:The isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel of the present invention, including Following steps:
1) combined channel distribution
1.1) Home eNodeB set { V }={ v is defined1,v2,......,vF, { viRepresent Home eNodeB i, Home eNodeB Number be F, grand number of users is equal with the number of channel, is M, and the Initial Trans of Home eNodeB are identical, each Home eNodeB Transmission power is Pi, the channel of Home eNodeB i distribution is TiIndividual;
1.2) Home eNodeB i calculates the interference weight for being subject to Home eNodeB j, and formula is as follows:
WhereinIt is channel gains of the Home eNodeB j to Home eNodeB i user's interference signal,Home eNodeB i is to this The channel gain of base station user useful signal, δ are the thresholdings of weight, can be considered as between two Home eNodeB less than this thresholding Do not interfere with, by formulaObtain the be disturbed weight sums of Home eNodeB i, formed interference weight set { W }= {w1,w2,......,wF};
1.3) by Home eNodeB by interference weight wiDescending, forms the new set { V'} after Home eNodeB sequence;
1.4) Home eNodeB is divided into by cluster { C according to number of channel Mn}n∈M
1.4.1 { take out one family base station i in V'} and add cluster C from Home eNodeB set successivelyn, cluster CnCan be to family's base The i that stands produces the Home eNodeB number of interference{vi' it is cluster CnIn to Home eNodeB i produce interference collection of base stations, cluster CnThe weight sum of increase isW is chosen from all of clusterl nMinimum front TiIndividual cluster is by family's base Stand addition, { in V'}, leave out the Home eNodeB from Home eNodeB set;
1.4.2 up to Home eNodeB set, { V'} is that sky, then Home eNodeB sub-clustering are completed to repeat step 1.4.1;
1.5) Home eNodeB is distributed with grand user's combined channel:
1.5.1 grand number of users is M, and Hong Yonghuji is combined into { Mu }, by grand user according to apart from macro base station near to remote Order is arranged, and obtains newly grand user set { Mu'}, and be followed successively by grand user in order and distribute a channel;
1.5.2 { take out a grand user m in Mu'}, calculate it by cluster C from grand user set in ordernInterference With noise sum For the channel gain of Home eNodeB i to grand user m interference signals, { C is closed from gatheringnIn select one cause INnMinimum cluster Cn'Grand user m is matched with the cluster, the Home eNodeB in cluster with Grand user uses same channel, and the Home eNodeB cluster and grand user are closed { C from Home eNodeB gatheringnAnd grand user set { leave out in Mu'};
1.5.3 repeat step 1.5.2 is until Home eNodeB gathering closes { CnAnd grand user set { Mu'} be empty, combines Channel distribution is completed;
2) each channel emission power of distribution Home eNodeB
2.1) initialize:If ε=10-5, time=0, the transmission power of each channel of Home eNodeB is { Pi,t}(time)={ P max/Ti, wherein P max be Home eNodeB maximum transmission power, TiFor the number of channel that Home eNodeB i is used;
2.2) each channel emission power of Home eNodeB is calculated, and formula is as follows:
Wherein B is channel width, and k is the coefficient of penalty term,For channels of the Home eNodeB i to grand user m interference signals Gain,For Home eNodeB i to other using channel t domestic consumer interference signal channel gain sum,It is family Signal to Interference plus Noise Ratio of the front yard base station i on channel t, computing formula isCnIt 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 Interference sum, PmIt is macro base station total transmission power, M is grand number of users,Interference for macro base station to the user of Home eNodeB i Signaling channel gain,It is interference that macro base station is caused, N0 is the noise power spectral density of system, and B is channel width, N0*B is the noise on channel.On each channel, transmission power is restricted, is 0 < Pi,t≤Pmax/Ti, Pmax is Home eNodeB Maximum transmission power, the peak power on each channel be Home eNodeB total transmission power and number of users (i.e. the number of channel) it Business.
2.3), after execution step 2.2, check whether the power on each each channel of Home eNodeB is full with the power of last time Footε is iteration threshold, if be unsatisfactory for, makes time=time+1, algorithm jump to step Rapid 2.2 continue executing with;If it is satisfied, then game terminates;Home eNodeB each channel emission power set is finally obtainedHome eNodeB adjusts transmission power accordingly.
Two-layer scene of the present invention based on home base station network in layered heterogeneous network and cellular network, to wireless network in Power resource, channel resource make rational distribution.Improvement is made to the heuristic cluster algorithm based on graph theory, is initially set up Oriented interference figure simultaneously calculates the interference weight of each Home eNodeB, and Home eNodeB is added in multiple clusters, by joining with grand user Closing channel distribution enables Home eNodeB using multiple channels, improves the availability of frequency spectrum of system.
The inventive method builds non-cooperative game model using game theory principle, and game had both considered gulping down for each domestic consumer The amount of telling, it is also considered that Home eNodeB transmission power interference on this channel to grand user and other domestic consumers, both improved The handling capacity of domestic consumer, has ensured other users performance again.
Beneficial effect
The present invention compared with prior art, with advantages below:
1st, the situation of general heuristic cluster algorithm is different from, and 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.
2nd, the power game playing algorithm for proposing individually is adjusted to the power of each channel for each channel of Home eNodeB Whole;Utility function sets punishment to Home eNodeB transmission power to the interference that different user is caused, to the interference of grand user Punishment is more than to domestic consumer, protects emphatically the performance of grand user.
3rd, Home eNodeB and grand user's combined channel are distributed using graph theory, simultaneously takes account of cross-layer interference and do with layer Disturb so that channel is divided more rationally, reduce the interference of Home eNodeB cluster using same channel and grand user, it is ensured that grand The performance of user, also has some improvement to the performance of domestic consumer.
Description of the drawings
Fig. 1 is the descending illustraton of model of two-tier network.
Schematic flow sheets of the Fig. 2 for the inventive method.
Fig. 3, Fig. 4, Fig. 5, Fig. 6 are the outage probability and the simulation result figure of network throughput of user in two-tier network.
Specific embodiment
It is described in detail with reference to the technical scheme of 1,2 pairs of inventions of example and Figure of description:
The present invention using graph theory and game theory to layered heterogeneous network in power resource, channel resource make rational point Match somebody with somebody:Improvement is made to the heuristic cluster algorithm based on graph theory, oriented interference figure is set up first with graph theory for home base station network Model, calculates the interference weight being subject to after each Home eNodeB adds cluster, and adds Home eNodeB according to interference weight many In individual cluster, suitable cluster is selected to match according to the interference size being subject on cluster after each grand user's distribution channel, the family in cluster Front yard base station can use the channel of the grand user of pairing, Home eNodeB therefore can obtain multiple channels;It is family using game theory The each channel emission power in base station sets up non-cooperative game model, game consider the handling capacity of domestic consumer and cause dry Disturb, optimal transmission power set is drawn after multiple game.
The descending scene of isomery cellular network of present invention research is as shown in figure 1, isomery based on the heuristic sub-clustering of multichannel The overview flow chart of cellular network resource distribution method is shown in accompanying drawing 2.
A kind of isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel of the present invention, including following step Suddenly:
1) combined channel distribution
1.1) Home eNodeB set { V }={ v is defined1,v2,......,vF, { viRepresent Home eNodeB i, Home eNodeB Number be F, grand number of users is equal with the number of channel, is M, 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 TiIndividual.
The signal received from Base Transmitter to user can produce decline through a segment distance, the size of decline with both it Between relevant apart from d.The decline formula of the fading model adopted in this method is as follows:
(1) decline of the macro base station to grand user:
PL (dB)=30+40*log10 (d)+10 (1)
(2) Home eNodeB is to domestic consumer, Home eNodeB to grand 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)
When d≤15,
PL (dB)=40+25*log10 (d)+10 (3)
The channel gain that user can be obtained by channel fading.Macro base station to the channel gain of grand user m isFamily Base station i to the channel gain of grand user m isHome eNodeB i to the channel gain of domestic consumer j isGrand user's Scope is m ∈ { 1,2 ..., M }, and the scope of Home eNodeB is i ∈ { 1,2 ..., F }.
Domestic consumer i is disturbed by Home eNodeB j, and representation is 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 Home eNodeB Initial Trans are equal to be Pf, then Home eNodeB i be subject to Home eNodeB j interference weight calculation Formula is:
Wherein δ is the thresholding for disturbing weight, then thinks not interfering between Home eNodeB less than thresholding.By formulaThe be disturbed weight sums of Home eNodeB i are obtained, interference weight set { W }={ w is formed1,w2,......, wF}.
1.3) by Home eNodeB by interference weight descending, form family's base and newly gather { V'};
1.4) Home eNodeB is divided into by cluster { C according to number of channel Mn}n∈M.
1.4.1 { take out one family base station i in V'} and add cluster C from Home eNodeB set successivelyn, cluster CnCan be to family's base The i that stands produces the Home eNodeB number of interferenceWherein { vi' it is cluster CnThe middle family that can produce interference to Home eNodeB i The set of base station.Wl nBe add cluster n after cluster disturb the growth of weight, calculate the weight that increases after the Home eNodeB adds cluster it With formula is as follows.
W is calculated to all clustersl nBeing formed afterwards increases the set { W of weightl n}n∈M, W is chosen from setl nMinimum front Ti Individual Home eNodeB cluster Cn'Home eNodeB i is added, { in V'}, leaves out the Home eNodeB from Home eNodeB set.
1.4.2 { V'} is that sky, then Home eNodeB sub-clustering are completed up to Home eNodeB set to repeat 1.4.1 steps.
1.5) Home eNodeB is distributed with grand user's combined channel.
1.5.1 grand number of users is M, and Hong Yonghuji is combined into { Mu }, by grand user according to apart from macro base station near to remote Order is arranged, and obtains newly grand user set { Mu'}, and be followed successively by grand user in order and distribute a channel;
1.5.2 { take out a grand user m in Mu'}, calculate it by cluster C from grand user set in ordernInterference With noise sum For the channel gain of Home eNodeB i to grand user m interference signals, { C is closed from gatheringnIn select one cause INnMinimum cluster Cn'Grand user m is matched with the cluster, the Home eNodeB in cluster with Grand user uses same channel, and the Home eNodeB cluster and grand user are closed { C from Home eNodeB gatheringnAnd grand user set { leave out in Mu'};
1.5.3 repeat step 1.5.2 is until Home eNodeB gathering closes { CnAnd grand user set { Mu'} be empty, combines Channel distribution is completed.
2) each channel emission power of distribution Home eNodeB
2.1) according to the step 1) in the Home eNodeB that obtains and grand user channel distribution situation, while each base of collection The information that stands, carries out game to the transmission power of each channel of Home eNodeB using non-cooperative model, and designs utility function.
The present invention adopts non-cooperative game to Home eNodeB transmission power, and the number of users in each Home eNodeB is random but is less than Total channel number, each domestic consumer use the transmission power on a channel, Home eNodeB game each channel, game to arrange such as Under:
Wherein I be Home eNodeB set, each user use a channel,Respectively believe for Home eNodeB The set of road transmission power, TiFor the channel that Home eNodeB i is used,Utility function set for 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 Section 1 is handling capacities of the Home eNodeB i on channel t,It is that letters of the Home eNodeB i on channel t is dry to make an uproar Than computing formula is:
CnIt is the Home eNodeB cluster using channel t,For cluster CnIn other Home eNodeB on channel t to family The interference sum of front yard base station i user, PmIt is macro base station total transmission power, M is grand number of users,For macro base station to Home eNodeB i User interference signal channel gain,It is interference that macro base station is caused, N0 is the noise power spectral density of system, B For channel width, N0*B is the noise on channel.Section 2 be Home eNodeB i on channel t to using channel t grand user and The punishment that domestic consumer interferes, k are the coefficients of penalty term.On each channel, transmission power is restricted, is:0 < Pi,t≤ Pmax/Ti, Pmax is the maximum transmission power of Home eNodeB, and the peak power on each channel is Home eNodeB total transmission power Business with number of users (i.e. the number of channel).
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 and individually change the strategy of oneself to obtain more preferable benefit, you can be expressed as:
NowIt is exactly the Nash Equilibrium Solution of power game.
2.2) initialize:If ε=10-5, time=0, the transmission power of each channel of Home eNodeB is { Pi,t}(time)= {Pmax/Ti, wherein Pmax be Home eNodeB maximum transmission power, TiFor the number of channel that Home eNodeB i is used;
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,For channels of the Home eNodeB i to grand user m interference signals Gain,For Home eNodeB i to other using channel t domestic consumer interference signal channel gain sum,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, and also needs to bring formula into:
Each Home eNodeB obtains the transmission power of Home eNodeB according to formula (11) and (12), obtains Home eNodeB transmitting work( Rate set set.
2.4), after execution step 2.3, check whether the power on each each channel of Home eNodeB is full with the power of last time Footε is iteration threshold, if be unsatisfactory for, makes time=time+1, algorithm jump to step Rapid 2.3 continue executing with;If it is satisfied, then game terminates;Home eNodeB each channel emission power set is finally obtainedHome eNodeB adjusts transmission power accordingly.
In sum, the present invention adopts graph theory thought to be built with for home base station network in the descending scene of layered heterogeneous network To interference graph model, Home eNodeB disturbed condition is calculated according to interference weight calculation formula, and is based on improved heuristic sub-clustering Home eNodeB is divided into multiple clusters by algorithm, carries out combined channel distribution with grand user.Hereafter, to Home eNodeB in shared letter Transmission power on road adopts non-cooperative game model, by iterating to up to the balanced optimal transmission power collection for obtaining Home eNodeB Close.
As shown in accompanying drawing 3 and Fig. 4, the isomery cellular network resource distribution method based on the heuristic sub-clustering of multichannel is in family User's outage probability is to sub-clustering but non-power control algorithm is similar, and than low without sub-clustering and Power Control, interrupts in grand user Other two kinds of algorithms will be less than on probability;Isomery cellular network resource in accompanying drawing 5 and accompanying drawing 6 based on the heuristic sub-clustering of multichannel Distribution method due to reducing the interference to other users, Home eNodeB total throughout with sub-clustering but non-power control algorithm phase Closely, but it is greater than without 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, it is characterised in that including following Step:
1) combined channel distribution
1.1) Home eNodeB set { V }={ v is defined1,v2,......,vF, { viRepresent Home eNodeB i, the number of Home eNodeB For F, grand number of users is equal with the number of channel, is M, and the Initial Trans of Home eNodeB are identical, each Home eNodeB transmitting work( Rate is Pi, the channel of Home eNodeB i distribution is TiIndividual;
1.2) the interference weight that Home eNodeB i is subject to Home eNodeB j is calculatedWhereinIt is Channel gains of the Home eNodeB m to 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, can be considered as between two Home eNodeB less than this thresholding and not interfere with, by public affairs FormulaThe be disturbed weight sums of Home eNodeB i are obtained, interference weight set { W }={ w is formed1,w2,......, wF};
1.3) by Home eNodeB by interference weight wiDescending, forms the new set { V'} after Home eNodeB sequence;
1.4) Home eNodeB is divided by cluster { C according to number of channel Mn}n∈M
1.4.1 { take out one family base station i in V'} and add cluster C from Home eNodeB set successivelyn, cluster CnHome eNodeB i can be produced Giving birth to the Home eNodeB number for disturbing is{vi' it is cluster CnIn to Home eNodeB i produce interference collection of base stations, cluster CnIncrease Weight sum beW is chosen from all of clusterl nMinimum front TiHome eNodeB is added by individual cluster, { in V'}, leave out the Home eNodeB from Home eNodeB set;
1.4.2 up to Home eNodeB set, { V'} is that sky, then Home eNodeB sub-clustering are completed to repeat step 1.4.1;
1.5) Home eNodeB is distributed with grand user's combined channel:
1.5.1 grand number of users is M, and Hong Yonghuji is combined into { Mu }, by grand user according to apart from macro base station near to remote order Arrangement, obtains newly grand user set { Mu'}, and be followed successively by grand user in order and distribute a channel;
1.5.2 { take out a grand user m in Mu'}, calculate it by cluster C from grand user set in ordernInterference and noise Sum For the channel gain of Home eNodeB i to grand user m interference signals, from gathering Close { CnIn select one cause INnMinimum cluster Cn'Grand user m is matched with the cluster, the Home eNodeB in cluster and grand user Using same channel, the Home eNodeB cluster and grand user are closed { C from Home eNodeB gatheringnAnd grand user set { delete in Mu'} Go;
1.5.3 repeat step 1.5.2 is until Home eNodeB gathering closes { CnAnd grand user set { Mu'} be empty, and combined channel divides Match somebody with somebody and complete;
2) each channel emission power of distribution Home eNodeB
2.1) initialize:If ε=10-5, time=0, the transmission power of each channel of Home eNodeB is { Pi,t}(time)={ Pmax/ Ti, wherein Pmax be Home eNodeB maximum transmission power, TiFor the number of channel that Home eNodeB i is used;
2.2) each channel emission power of Home eNodeB is calculated Wherein B is channel width, and k is the coefficient of penalty term,For channel gains of the Home eNodeB i to grand user m interference signals,For Home eNodeB i to other using channel t domestic consumer interference signal channel gain sum,It is Home eNodeB Signal to Interference plus Noise Ratio of the i on channel t, computing formula isCnIt is using channel t Home eNodeB cluster,For cluster CnIn other Home eNodeB on channel t to the interference of Home eNodeB i user it With PmIt is macro base station total transmission power, M is grand number of users,Interference signal for macro base station to the user of Home eNodeB i is believed Road gain,It is interference that macro base station is caused, N0 is the noise power spectral density of system, B is channel width, N0*B is Noise on channel.On each channel, transmission power is restricted, is 0 < Pi,t≤Pmax/Ti, Pmax is that Home eNodeB is maximum Transmission power, the peak power on each channel are the business of Home eNodeB total transmission power and number of users (i.e. the number of channel);
2.3), after execution step 2.2, check whether the power on each each channel of Home eNodeB is met with the power of last timeε is iteration threshold;If be unsatisfactory for, time=time+1, algorithm is made to jump to step 2.2 continue executing with;If it is satisfied, then game terminates;Home eNodeB each channel emission power set is finally obtained Home eNodeB adjusts transmission power accordingly.
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CN107517464A (en) * 2017-08-16 2017-12-26 重庆邮电大学 Interference management and resource allocation methods in a kind of heterogeneous network
CN107995034A (en) * 2017-11-30 2018-05-04 华北电力大学(保定) A kind of dense cellular network energy and business collaboration method
CN108449149A (en) * 2018-03-26 2018-08-24 南京邮电大学 A kind of small base station resource distribution method of energy acquisition based on matching game

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