CN103945514B - Diffusion type self adaptation ascending power control method based on fairness - Google Patents
Diffusion type self adaptation ascending power control method based on fairness Download PDFInfo
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Abstract
The present invention proposes a kind of diffusion type self adaptation ascending power control method based on fairness; the characteristics of present invention is directed to the femtocell network of dense deployment; propose diffusion type network structure and traditional LMS algorithm is improved; the fairness of user uplink link is realized by controlling user emission power; simultaneously under certain power constraints; the protection mechanism of the upper limit of the power is proposed, and then optimizes the ascending power control method for the purpose of fairness.
Description
Technical field
The invention belongs to wireless communication technology field, it is related to a kind of power of the femtocell network for dense deployment
Control method, the Poewr control method is the diffusion type self adaptation ascending power control method based on fairness.
Background technology
With developing rapidly for wireless communication technology, the quantity of wireless user drastically increases, and business demand is also sharply increased.
Research has shown that the voice call more than 50% and the data communication more than 70% all occur indoors, therefore, to understand
Certainly to improve the service quality of indoor user, femtocell (femtocell, FC) arises at the historic moment in-door covering problem.Millimicro
Microcellulor is the cellular network access point of a kind of low-power, low cost, is generally deployed in minimized office room and hot zones are made
It is the supplement of the macro base station network coverage, by DSL (Data Subscriber Line), broadband cable, optical fiber etc., standard is used
Family wireless device is connected to the core net or internet of mobile communication carrier, so as to provide the data of high speed for mobile subscriber
Communication or high-quality voice communications services.The deployment of femtocell not only makes indoor user enjoy high-quality wireless clothes
Business, drastically increases the handling capacity of overall network, and can reduce the load of macro base station, obtains the user in macro base station
Preferably service.
Although the deployment of femtocell can bring the benefit of many for user, many problems are also faced simultaneously,
The uplink interference control of femtocell is exactly the ring of most important of which one.The main cause that uplink interference is produced has：1)
Femtocell can produce interference, and these interference to predict in advance by user's random placement to other users.2)
In the femtocell network of dense deployment, each femtocell access point is closer from obtaining, and two adjacent
Femtocell user jobs can also produce uplink interference each other in identical upstream band.In the femto of dense deployment
In cellular network, uplink interference can bring the unfairness of different user performance, cause the unfairness of overall network.Pass through through research
Uplink power control is disturbed between can effectively suppressing femtocell, can be obviously improved the performance of system, improves overall
The fairness of network.Therefore, milli in the femtocell network of dense deployment is generally solved using ascending power control method
Uplink interference problem between Pico cell, to improve the overall performance of system.
In LTE system, uplink power control is divided into intracell power control and inter-cell power control.Because LTE is up
Link uses SC-FCMA (Single Carrier Frequency Division Multiple Access, single carrier frequency division
Multiple access) technology, theoretically strict orthogonal between each subchannel, in the absence of the problem of intra-cell interference.Therefore in LTE cells on
Uplink power control is to reduce the interference to adjacent cell to realize public affairs under the basic premise for ensureing this community user performance
The purpose of levelling.The transmission power of user is reduced in the good link of channel quality, and is increased in the link of bad channel quality
The transmission power of user is the general principle of uplink power control.Uplink power control is in the resource management of wireless communication system
The power control algorithm for having critical role a, optimization can be greatly improved power system capacity, meet the performance requirement of user.In frequency
In the shared femtocell network of spectrum, problem of inter-cell interference is solved by ascending power control method to reach fairness
Purpose.
Due to the spontaneity of femtocell, it is very challenging to design efficient power control scheme.Therefore,
Power Control in femtocell is always recently the focus of lot of domestic and international article.Some articles both domestic and external have used rich
Play chess to discuss and carry out design power control program, it is proposed that different utility functions is maximizing the effectiveness of overall network and minimizing power
Consumption between obtain one balance, some of which game be based on Foschini-Miljanic (FM) propose it is famous
The more new formula of distributed power.Such as D.Ngo, L.Le, T.Le-Ngoc, E.Hossain, and D.Kim are in IEEE
Transactions on Wireless Communications, 2012《Distributed interference
management in two-tier cdma femtocell networks》A kind of united power is proposed in one text and is connect
Control algolithm is received to ensure the demand of macro base station QoS of customer QoS (Quality of service), meanwhile, only allow millimicro
Microcellulor user utilizes remaining network capacity.Other some articles use Power Control an as optimization problem
Different solutions.Chandrasekhar eta etc. are in IEEE Global Telecommunications Conference
(GLOBECOM), 2009《Distributed power control in femtocell-underlay cellular
networks》A kind of distributed SINR adaptive power controls based on effectiveness in femtocells are proposed in one text
System, the independent maximum utility function of user in each femtocell combines macro base station user and femtocell user, to carry
The capacity of system high, although the scheme that author uses is distributed, but on the assumption that femtocell with it is grand where it
There is collaboration ＆ communication between base station.N.Chakchouk and B.Hamdaoui are in IEEE Global
Communications Conference (GLOBECOM), 2011《Estimation-based non-cooperative
power allocation in two-tier femtocell networks》A kind of distributed non-cooperation is proposed in one text
Predictive power control scheme, its purpose is to maximize femtocell by the adaptation of transimission power and surrounding interference
The handling capacity of user, while take into account fairness.Article both domestic and external is typically devoted to solving the interference problem between cell,
Seldom in view of the fairness problem of up-link between femtocell in the femtocell network of dense deployment.
The content of the invention
It is an object of the invention to provide a kind of diffusion type self adaptation ascending power control method based on fairness, can be with
Optimize the fairness of user uplink link.
To achieve the above object, present invention employs following technical scheme.
In the network structure of the diffusion type that multiple femtocells of dense deployment are formed, i-th femtocell is obtained
Take the performance of the user communicated in i-th femtocell of current time and i-th femtocell is produced directly
The average behavior of user communicated in the adjacent femtocell of interference, then by updating the network knot of the diffusion type
The transmission power of the user communicated in each femtocell in structure so that i-th femtocell described in subsequent time
In the performance of user that is communicating with the adjacent femtocell for producing direct interference to i-th femtocell just
It is closer in the average behavior of the user of communication, so as to realize the public affairs of user uplink link in the network structure of the diffusion type
Levelling.
The network structure of the diffusion type includes multiple femtocells, and adjacent femtocell partial intersection is covered,
Each femtocell and adjacent femtocell interactive information, and each transmission power of independent control user, each is in the least
Pico cell includes the access point at center and multiple users, and multiple telex networks are arranged in mutually in each femtocell
In orthogonal sub-band.
The ascending power control method specifically includes following steps：
Step A1：It is determined that to i-th adjacent femtocell set of femtocell generation direct interferenceI=
1,2,3 ..., N, N are the number of femtocell；
Step A2：Determine cost function, cost function be the user communicated in i-th femtocell performance with
SetIn communicating in all femtocells the difference of the average behavior of user square；
Step A3：Update the user's communicated in i-th femtocell by the adaptive step of cost function
Transmission power.
The step A1 specifically includes following steps：By i-th adjacent femtocell of femtocell to i-th milli
The interference strength of Pico cell compares with given threshold value, and interference strength is regarded more than the described adjacent femtocell of given threshold value
It is to i-th adjacent femtocell of femtocell generation direct interference.
The cost function is expressed as：
Fi(t)=(γi(t)-ζi(t))2
Wherein, PiT () is the transmission power of the user that is communicating in i-th femtocell in current t, Pj(t)
Represent the user FU to being communicated in i-th j-th adjacent femtocell of femtocell generation direct interferencejWorking as
The transmission power of preceding t, giiT () represents the user that is communicating in i-th femtocell to i-th femtocell
The path gain of access point, gjiT () represents FUj to i-th path gain of the access point of femtocell, σ2Represent i-th
Femtocell current t additive white Gaussian noise, γiT () is the user communicated in i-th femtocell
Performance, γjT () is represented to being communicated in i-th j-th adjacent femtocell of femtocell generation direct interference
User performance, ζiT () is to being communicated in i-th adjacent femtocell of femtocell generation direct interference
The average behavior of user,It is setThe number of middle femtocell.
The transmission power of user is updated as follows：
Wherein, PmaxRepresent the maximum transmission power of user, Pi(t+1) it is the use that is communicating in i-th femtocell
Family subsequent time t+1 transmission power,It is that the user communicated in i-th femtocell sends out in current t
The gradient of power is penetrated,μ is learning rate,It is that i-th femtocell is produced
Gradient of the user communicated in j-th adjacent femtocell of direct interference in current t transmission power.
Beneficial effects of the present invention are embodied in：
Diffusion type self adaptation ascending power control method based on fairness of the present invention, in the network structure of diffusion type
In, by updating the transmission power of the user communicated in each femtocell, make current femtocell performance and its
Adjacent femtocell average behavior is closer, so as to realize optimizing the purpose of the fairness of user uplink link in network.
The characteristics of present invention is directed to the femtocell network of dense deployment, proposes diffusion type network structure, each millimicro
Microcellulor and adjacent femtocell interactive information, the transmission power of respective independent control user, during optimization only
The information of adjacent femtocell is needed, less relative to centerized fusion optimization data, computation complexity is lower, while data
Propagation time delay is also smaller.
The present invention is improved to traditional LMS algorithm, the step that the transmission power of user can be directly updated with power
Length is connected, it is also possible to which the relatively high power that limitation is caused due to smaller power updates step-length, it is to avoid the concussion of system, is changing
The fairness of user uplink link is realized in the LMS algorithm for entering by controlling user emission power, in the mistake of algorithm self adaptation
The performance of overall femtocell is reached fairness in journey, finally under certain power constraints, propose the upper limit of the power
Protection mechanism, and then optimize ascending power control method for the purpose of fairness.
Brief description of the drawings
Fig. 1 is the applicable practical application schematic diagram of a scenario of the present invention；
Fig. 2 is diffusion type network architecture schematic diagram；
Fig. 3 be dense deployment femtocell network in uplink communication disturbance regime schematic diagram；
Fig. 4 is simulating scenes figure of the invention；
Fig. 5 is 9 analogous diagrams of the average SINR of FAP in the present invention；
Fig. 6 is 9 transmission power analogous diagrams of user in the present invention.
Specific embodiment
The invention will be further described with reference to the accompanying drawings and examples.It is emphasized that the description below is only
Exemplary, the scope being not meant to limit the present invention.
The present invention utilizes ascending power control method in the femtocell network of dense deployment, optimizes user uplink chain
The fairness on road, i.e., realize the fairness of user uplink link by controlling user emission power.
Core concept of the invention includes the following aspects：First, based on reality scene, the present invention proposes a kind of use
In the diffusion type network structure of uplink power control；Secondly, in this diffusion type network structure, propose one kind with fairness as mesh
Diffusion type self adaptation ascending power control method, and propose improved LMS algorithm MLMS (Modified on this basis
Least Mean Square)；Finally, under certain power constraints, a kind of protection mechanism of the upper limit of the power is proposed, is entered
And optimize the diffusion type self adaptation ascending power control method for the purpose of fairness.
Scene of the invention is dense deployment multiple femtocell (FC), its reality scene in a macrocell (MC)
As shown in Figure 1.In the femtocell network of dense deployment, there is N number of random placement femtocell to connect in a macrocell
Access point (FAP), and the shared identical frequency spectrum resource of all of femtocell.In each femtocell, a FAP can
To support multiple femtocells user (FU or UE), and assume that these users are in closed user group, i.e., only step in advance
The mobile subscriber of note can just obtain the service of FAP in correspondence femtocell.
It is up dry due to femtocell random placement and between it in the femtocell network of dense deployment
Disturb, the performance difference of each femtocell is quite big.Based on the characteristics of femtocell, the present invention makes following in above-mentioned scene
Assuming that：Femtocell is generally deployed in some less range intervals such as office and hot zones, the signal of macrocell
Intensity is weaker with respect to femtocell signal, and also to the difficulty of analysis is reduced, it is therefore assumed that being come from this scene
The interference very little of macrocell, can ignore；Assuming that interference will not be mutually produced between FU in same FC, because they
Communication be routed in mutually orthogonal sub-band.Therefore, femtocell user can only be subject to each adjacent in communication
The uplink interference of user in femtocell.
In reality scene, femtocell power is smaller, therefore its coverage is also smaller, and it is by user
Random installation, operator cannot unified planning to deploy, therefore a kind of adjacent femtocell part is formd in reality scene
The intensive mulching method for intersecting, the communication of a femtocell can be influenceed by adjacent femtocell.
Based on uplink between multiple interactional mulching method of femtocell and femtocell in reality scene
The fairness this purpose on road, the present invention proposes a kind of new diffusion type network architecture, as shown in Figure 2.The diffusion type network architecture
A kind of femtocell partial intersection covering adjacent to each other, communication performance affect one another it is interrelated be diffused into it is overall
The network architecture.Among the network structure of this overall diffusion type, each femtocell includes the FAP at center and many
Individual user, multiple femtocells therein are that have part to occur simultaneously, and they are not to be independently not in contact with, each femto honeybee
Nest and adjacent femtocell interactive information, the transmission power of respective independent control user.The mode for realizing fairness is logical
Cross and contrast this estate performance and neighbor cell performance, both difference is smaller represent both performances closer to.Realize femto honeybee
The fairness of nest overall performance of network is, it is necessary to current area performance estate performance adjacent thereto, it is also desirable to adjacent cell it adjacent
The performance of cell, so spreads apart with this, multiple femtocells of dense deployment is formd a kind of network of diffusion type
Structure.
The present invention dries the change than SINR (Signal to Interference plus Noise Ration) using letter
Change to represent the change of the fairness of user uplink link.In a communications system, SINR is the important ginseng for determining service quality QoS
Number.Mainly consider to optimize the SINR of user when the fairness of optimization user uplink link is considered, will be in same macrocell
The average SINR that the performance of the user communicated in all FC reaches the FAP for being unanimously converted into communication in all FC reaches unanimously.
As shown in figure 3, in each FC, it is assumed that each user periodically provides its SINR to FAP, and user
Transmission power size meets Pi∈(0,Pmax].Optimization problem is represented by：When variable is the power of user, cost letter is minimized
Number Fi(t)=(γi(t)-ζi(t))2, wherein γiT () is the performance of the user communicated in i-th FC, ζiT () is to i-th
The average behavior of the user communicated in the adjacent FC of individual FC generations direct interference, γi(t) and ζiThe mathematic(al) representation of (t) point
It is not as follows：
Wherein, PiT () is the transmission power of the user that is communicating in i-th femtocell in current t, Pj(t)
Represent the user FU to being communicated in i-th j-th adjacent femtocell of femtocell generation direct interferencejWorking as
The transmission power of preceding t, giiT () represents the user that is communicating in i-th femtocell to i-th femtocell
The path gain of access point, gjiT () represents FUj to i-th path gain of the access point of femtocell, σ2Represent i-th
Femtocell current t additive white Gaussian noise, γiT () is the user communicated in i-th femtocell
Performance, γjT () is represented to being communicated in i-th j-th adjacent femtocell of femtocell generation direct interference
User performance, ζiT () is to being communicated in i-th adjacent femtocell of femtocell generation direct interference
The average behavior of user,It is setThe number of middle femtocell.
In the femtocell network of dense deployment, if a femtocell performance has reached its neighbor cell
Average behavior, then the performance of whole system just reaches unanimously.Optimize the fairness of user uplink link as the above analysis
Minimum cost function F can be converted intoi(t)=(γi(t)-ζi(t))2, i.e., by contrasting this cell (this femtocell net
Network) performance and neighbor cell (adjacent femtocell network) average behavior, both differences are smaller represent both performances closer to,
Performance is closer to more fair.The overall fairness of system is realized by the local optimum of each femtocell.
After scene and system model and relevant parameter is determined, carried in the femtocell network of dense deployment
For a kind of ascending power control method, optimize the fairness of user uplink link.In order to achieve the above object, it is proposed by the present invention
Technical scheme be it is a kind of with fairness be purpose diffusion type self adaptation ascending power control method.In this diffusion type self adaptation
A kind of improved LMS algorithm MLMS (Modified LMS) is used in row Poewr control method, for updating just in communication user
Transmission power.
Specifically, the main thought of diffusion type self adaptation ascending power control method of the present invention is：Each millimicro
Microcellulor (FC) finds out the adjacent FC that direct interference is produced to it, is set to NFC, it is a set, it may be determined that to current millimicro
Microcellulor produces the adjacent femtocell set of interference.The performance of the user communicated in each FC is represented by γi
(t), while the average behavior of the user communicated in calculating the adjacent FC that direct interference is produced to it, is represented by ζi
(t).The renewal of the user power communicated in each FC is completed by adaptive algorithm, and present invention selection is to lowest mean square
(LMS) adaptive algorithm obtained from algorithm is improved, referred to as improved LMS algorithm (MLMS), this adaptive algorithm
Cost function be this estate performance with neighbor cell average behavior difference square, updated by this adaptive algorithm
The transmission power of communication user.
Analyzed and to algorithm simulating interpretation of result by LMS algorithm, find the uplink power control that LMS algorithm is provided
Method, can optimize the fairness of user uplink link to a certain extent, but effect is not too much preferable, there is following deficiency
Place：
1) step-length that the transmission power of active user directly cannot update with power is connected.
If 2) transmission power of user is smaller, the step-length that power can be caused to update is excessive so that system is unstable,
As a result γiT () fluctuation ratio is larger.
In order to solve the problems, such as two above to ensure convergence, present invention selection is to lowest mean square (LMS) algorithm
It is improved, proposes MLMS algorithms, algorithm is as follows：
Step 1：In order to solve first problem, will power update step-length directly join with the transmission power of active user
System gets up, and form such as a=b*c can be turned to according to the Operation Nature about log symbols, i.e. log (a)=log (b)+log (c).Cause
This can be by the more new formula of user power in another form：Most
User emission power more new formula can be changed into MLMS algorithms eventually：So
The gradient that each step of user emission power is updated not only with cost function is related about the transmission power also with active user.
Step 2：In order to solve Second Problem, it is considered to which the relatively high power that limitation is caused due to smaller power updates step
It is long.By the analysis to cost function gradient in LMS algorithm, the part for causing performance change in formula is found, one is carried out to it
Determine the deformation of degree, the gradient of t user emission power is redefined in MLMS algorithms, i.e.,
Therefore improved LMS algorithm (MLMS) is ultimately expressed as：
Fi(t)=(γi(t)-ζi(t))2
Also need to consider two kinds of situations during transmission power updates：
1) lower limit of user emission power.
ByThe transmission power of renewal is all positive number, full
Sufficient Pi>0。
2) upper limit of user emission power.During iteration updates power, the transmission power of user is not always full
Sufficient Pi≤Pmax, therefore in order to ensure that the transmission power of the user during iteration updates power meets Pi∈(0,Pmax], herein
Design a kind of protection mechanism as follows：
Can be obtained by above formula：The power of current area (i.e. current femtocell network) reaches PmaxWhen, current small
Divided by the power updating factor of neighbor cell (i.e. adjacent femtocell network) in area's power factor, that is, useGo
RemoveSo as to optimize the performance of system.
Analyzed more than, the more new formula of user emission power is finally as follows：
Wherein, PmaxRepresent the maximum transmission power of user, Pi(t+1) it is the use that is communicating in i-th femtocell
Family subsequent time t+1 transmission power,It is that the user communicated in i-th femtocell sends out in current t
The gradient of power is penetrated,μ is learning rate, and it is an empirical value, the speed of control convergence
Degree speed and stability, the span of μ is 0 in the present invention<μ≤0.3,It is that i-th femtocell is produced
Gradient of the user communicated in j-th adjacent femtocell of direct interference in current t transmission power.
Emulation experiment
As shown in figure 4, being distributed 9 cubicles in 30*30 square metres of regional extent, the size of each cubicle is
10*10 square metres.Empty circles in one femtocell access point (FAP) of random placement in each cubicle, such as figure
It is shown.Assuming that the communication of the multiple FU in same FC is routed in different time slots, they be will not mutually produce it is dry
Disturb, therefore, although there are multiple users in each cubicle, but the only one of which communicated at a certain specific moment is used
Family, as shown in solid stain in figure.
Parameter setting is in specific implement scene：The initial power of communication user is set to 10mw, and path loss index is 3.5,
Loss is 10dB to wall thoroughly, and white noise is -174dBm/Hz.Channel gain is g in the present inventionji(t), in j-th adjacent FC of expression
To i-th path gain of the FAP of FC, formula is the user for communicating：Wherein d0It is set to 1 meter, dji
The distance between user and i-th FAP of FC are represented in j-th adjacent FC, η is path loss index, is set as that 3.5, k is indoors
One depend on antenna performance and average fading channel without unit constant.Because indoor user moves very slow, it is assumed that excellent
The distance between user and femto base station will not change during change, therefore the g in system optimisation processjiT () is one
Constant.
Mainly consider to optimize the SINR of user during the fairness for considering optimization user uplink link in the present invention, use SINR
Change represent the change of the fairness of user uplink link.SINR formula：
After important parameter determination in scene and scene, one is provided in the femtocell network of dense deployment
Diffusion type self adaptation ascending power control method is planted, optimizes the fairness of user uplink link.In this diffusion type self adaptation
A kind of improved LMS algorithm (MLMS) is used in row Poewr control method, its specific implementation step is as follows：
Step 1：It is determined that producing the adjacent femtocell set of direct interference to current femtocell.For i-th
Femtocell FCi, by relatively more adjacent femtocell to FCiInterference size find out to it produce direct interference it is adjacent
FC gathers, and is set to
Step 2：Determine the comparing parameter of fairness.The performance of the user communicated in i-th FC is represented by γi
T (), the average behavior of the user communicated in the adjacent FC that direct interference is produced to it is represented by ζi(t)。
Step 3：Determine the cost function of diffusion type self adaptation ascending power control method.The cost of this adaptive algorithm
Function be this estate performance with neighbor cell average behavior difference square.As：Fi(t)=(γi(t)-ζi(t))2。
Step 4：The transmission power of the user for communicating is updated by the step-length of cost function.Pass through
MLMS algorithms update just communication user transmitting power.Formula is as follows： WhereinIt is the gradient of t user emission power, μ is learning rate, Pi
(t) be in i-th FC user current t transmission power, Pi(t+1) when being subsequent time t+1 user transmission power.
In a particular embodiment, user emission power meets Pi∈ (0,200], adopted when transmission power is unsatisfactory for this condition
With the protection mechanism of the upper limit of the power：
The theoretical procedure of above-mentioned specific embodiment is carried out in the femtocell diffusion type network environment of dense deployment
Specific emulation, and simulation result is analyzed as follows：
What Fig. 5 was represented is 9 performance simulation figures of FAP, and every curve represents FAP's in an iterative process in figure
SINR.Their SINR initial values from 4dB to 28dB in random value.As seen from Figure 5, between iterative step 1 to 25,
Each FAP leads to overpowering more newly arriving and finds the average behavior of neighbor cell, 9 FAP performances is drawn close to ensemble average performance.
After 25 steps, ensemble average performance has reached unanimously, and system reaches fairness.Analogous diagram convergence rate is very in the present invention
Hurry up, very well, demonstrating can be in the femtocell net of dense deployment using diffusion type self adaptation ascending power control method for effect
The fairness of user uplink link is realized in network.
What Fig. 6 was represented is 9 simulation figures of user emission power, and every curve represents one in an iterative process in figure
The transmission power of user.The initial power of each user is set to 10mw in simulating scenes, and peak power is limited to 200mw.By
Fig. 6 can be seen that iterative step from 1 to 25, and curve is dull smooth during power updates, without fluctuation, explanation
Diffusion type self adaptation ascending power control method is more stable when the transmission power of user is updated.After 25 steps, user
Transmission power just stablize constant, now the performance of system reaches unanimously.
In the femtocell diffusion type network structure of dense deployment, the present invention proposes diffusion type self adaptation ascending power
Control method, and MLMS algorithms are proposed on this basis to realize the fairness of systematic entirety energy, the curve of Fig. 5 and Fig. 6 is all
Very smooth, without fluctuation, good in convergence effect, convergence rate also quickly, can be to diffusion type self adaptation ascending power control method
Verified very well.
Claims (6)
1. a kind of diffusion type self adaptation ascending power control method based on fairness, it is characterised in that：Comprise the following steps：
In the network structure of the diffusion type that multiple femtocells of dense deployment are formed, i-th femtocell is obtained works as
The performance of the user that the preceding moment is communicating and produce the adjacent femtocell of direct interference to i-th femtocell
The average behavior of the user for communicating, then by each femtocell in the network structure for updating the diffusion type just
In the transmission power of the user of communication so that the performance of the user communicated in i-th femtocell described in subsequent time
With the average behavior of the user to being communicated in i-th adjacent femtocell of femtocell generation direct interference
It is closer, so as to realize the fairness of user uplink link in the network structure of the diffusion type；
Wherein, the transmission power tool of the user for being communicated in each femtocell in the network structure of the renewal diffusion type
Body is comprised the following steps：Determine diffusion type self adaptation ascending power control method cost function, cost function is i-th femto
The performance of the user communicated in honeycomb with the adjacent femtocell that direct interference is produced to i-th femtocell just
The average behavior of the user of communication difference square, i-th femto honeybee is updated by the adaptive step of cost function
The transmission power of the user communicated in nest.
2. a kind of diffusion type self adaptation ascending power control method based on fairness according to claim 1, its feature exists
In：The network structure of the diffusion type includes multiple femtocells, and adjacent femtocell partial intersection is covered, and each is in the least
Pico cell and adjacent femtocell interactive information, and each transmission power of independent control user, each femto honeybee
Nest includes the access point at center and multiple users, and multiple telex networks are arranged in mutually orthogonal in each femtocell
In sub-band.
3. a kind of diffusion type self adaptation ascending power control method based on fairness according to claim 1, its feature exists
In：The ascending power control method specifically includes following steps：
Step A1：It is determined that to i-th adjacent femtocell set of femtocell generation direct interferenceI=1,2,
3 ..., N, N are the number of femtocell；
Step A2：Determine cost function, cost function is performance and the set of the user communicated in i-th femtocellIn communicating in all femtocells the difference of the average behavior of user square；
Step A3：The transmitting of the user communicated in i-th femtocell is updated by the adaptive step of cost function
Power.
4. a kind of diffusion type self adaptation ascending power control method based on fairness according to claim 3, its feature exists
In：The step A1 specifically includes following steps：By i-th adjacent femtocell of femtocell to i-th femto
Cellular interference strength compares with given threshold value, and it is right that interference strength is considered as more than the described adjacent femtocell of given threshold value
I-th femtocell produces the adjacent femtocell of direct interference.
5. a kind of diffusion type self adaptation ascending power control method based on fairness according to claim 3, its feature exists
In：The cost function is expressed as：
Wherein, PiT () is the transmission power of the user that is communicating in i-th femtocell in current t, PjT () represents
To the user FU communicated in i-th j-th adjacent femtocell of femtocell generation direct interferencejIn current t
The transmission power at moment, giiT () represents the connecing to i-th femtocell of the user that is communicating in i-th femtocell
The path gain of access point, gjiT () represents FUjTo i-th path gain of the access point of femtocell, σ2Represent i-th milli
Pico cell current t additive white Gaussian noise, γiT () is the user communicated in i-th femtocell
Performance, γjT () represents what is communicated in j-th adjacent femtocell that direct interference is produced to i-th femtocell
The performance of user,It is the use to being communicated in i-th adjacent femtocell of femtocell generation direct interference
The average behavior at family,It is setThe number of middle femtocell.
6. a kind of diffusion type self adaptation ascending power control method based on fairness according to claim 5, its feature exists
In：The transmission power of user is updated as follows：
Wherein, PmaxRepresent the maximum transmission power of user, Pi(t+1) it is that the user communicated in i-th femtocell exists
The transmission power of subsequent time t+1,It is that the user communicated in i-th femtocell launches work(in current t
The gradient of rate,μ is learning rate,It is that i-th femtocell is produced directly
Gradient of the user communicated in j-th adjacent femtocell of interference in current t transmission power.
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