CN106358222B - Dynamic enhancement type district disturbance coordination method based on traffic forecast - Google Patents
Dynamic enhancement type district disturbance coordination method based on traffic forecast Download PDFInfo
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- CN106358222B CN106358222B CN201610765070.5A CN201610765070A CN106358222B CN 106358222 B CN106358222 B CN 106358222B CN 201610765070 A CN201610765070 A CN 201610765070A CN 106358222 B CN106358222 B CN 106358222B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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Abstract
The present invention relates to a kind of dynamic enhancement type district disturbance coordination method based on traffic forecast, this method, which is directed in heterogeneous network, possesses the macro base station of higher-wattage to cellulor extended area interference problem caused by user security risk, using based on customer service prediction and dynamic ABS (almost blank subframe) Regulation mechanism of user data queue length as constraint condition, the data business volume reached by prediction mobile subscriber in each adjustment period, in conjunction with user's own base station to the difference of customer service service ability under the conditions of different ABS, and user to data cached queue length Qos demand etc. because of the usually optimal ABS density of comprehensive selection (ratio of the total subframe of ABS sub-frame number Zhan), the system of solution cannot grasp customer service variation in time and carry out improper operation.Thus while promoting cellulor extended area user throughput, and can guarantee that the demand for services of macro user is met；Simultaneously as considering demand of the user to data cached queue length, therefore user's drop probabilities can be reduced.
Description
Technical field
The invention belongs to mobile communication network technology fields, are related to a kind of dynamic enhancement type district based on traffic forecast
Disturbance coordination method.
Background technique
With comprehensive commercialization of 4G mobile communication technology, wireless communication enters the fast-developing epoch.In order to meet use
The growing network demand in family carries out capacity boost in hot zones using cellulor in the coverage area of macrocellular
Mode has been used widely.In Next-Generation Wireless Communication Systems, intensive even super-intensive cellulor deployment, which has been recognized, is
Meet a kind of important technical of user's ultra-high capacity demand.
In heterogeneous network, important means of the cellulor usually as hot zones capacity boost.However, due to macro base station
Transmission power usually than small base station is much higher, when user selects serving cell using most strong RSRP mode, will cause big portion
Mobile subscriber is divided preferentially to select macro base station as serving BS.When hot spot region is closer to macro base station, hot spot region user is got over
Macro base station is easily chosen as serving BS, this will lead to small base station and small part mobile subscriber is only selected to service, and lead to frequency
Spectrum resource utilization rate is not high.For this purpose, the side usually by increasing forward bias on the basis of small base station reference signal reception power
Formula attracts the macro user near cellulor to become cellulor extended area user, realizes the effective use of frequency spectrum resource.When macro use
After family receives cellulor service by way of increasing forward bias value, under same frequency deployment conditions, this part use will lead to
Strong interference of the family by macro base station signal.If do not take effectively mode avoid this part interfere, even in cellulor
In the case where abundant resource, macro base station interference bring performance loss can not be also made up.
It is interfered to reduce macro base station to cellulor extended area user's bring, current communication networks introduce eICIC
(Inter-Cell Interference Coordination of enhancing) technology solves this problem, and eICIC technology mainly disappears from time-domain resource management view
Interference except macro base station to cellulor extended area user.A certain proportion of subframe is set ABS (almost blank by the technology
Frame) subframe, macro base station allows when keeping silent on ABS and is disturbed serious extended area user job to promote network performance.
Currently, the existing adjustment about ABS ratio in eICIC technology is all based on the adjustment that big time scale carries out, adjustment time
It is relatively slow, it cannot be well adapted for changing violent business, while rarely having from data to be transferred queue angle the Qos for considering user to need
It asks.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of, the dynamic enhancement type district based on traffic forecast interferes association
Tune method can reach lifting system and gulp down while meeting each section user throughput demand and length of buffer queue constrains
The purpose for the amount of spitting.
In order to achieve the above objectives, the invention provides the following technical scheme:
A kind of dynamic enhancement type district disturbance coordination method based on traffic forecast, method includes the following steps:
S1: mobile subscriber calculates Signal to Interference plus Noise Ratio according to serving BS and interference base station signal strength measurement, according to system
Signal to Interference plus Noise Ratio is mapped to channel quality indicator (CQI) by under unified central planning set, and is reported to serving BS；Base station is according to the CQI of reporting of user
Information, and the frequency spectrum resource being currently available calculate serving BS to the data service capabilities of each user；
S2: base station using dMMPP (discrete-time Markov-modulated Poisson Process, it is discrete
Markov Modulated Poisson process) analog subscriber service generation process, and counting user previous cycle data packet reaches situation, meter
It calculates and reaches the observation function that packet quantity corresponds to each state, utilize POMDP (Partially Observable Markov
Decision Process, POMDP can partially survey markov decision process) the next periodic traffic state correspondence of model acquisition
Probability calculates average traffic intensity according to each state probability of occurrence, then calculates user according to adjustment period length and reaches
Packet quantity；
S3: each candidate value in traversal candidate's ABS density value set calculates the adjustment period under selected ABS density
Interior user can actually pass data volume, while calculate the length of buffer queue after adjusting end cycle, judge user's packet quantity to be passed
Whether it is more than caching team leader, overflows；System will overflow the smallest original of number of users accounting according to handling capacity maximum, buffer queue
Then alternatively ABS density foundation；
S4: according to the data volume of mobile subscriber's actual transmissions within the adjustment period, each base station within the adjustment period is calculated
Total throughout size；Meanwhile the length of data queue obtained according to step S3, it is long that calculating is unsatisfactory for maximum queue in the adjustment period
Spend the number of users of constraint；
S5: according to the handling capacity size of the obtained each base station step S3, macro base station calculates total throughout in coverage
Size；Meanwhile statistics is unsatisfactory for the total number of users of queue length requirement, obtains the ratio of the dissatisfied total number of users of user Zhan；Most
Afterwards, according to calculated throughput of system and dissatisfied user ratio, best ABS density is selected from Candidate Set.
Further, in step sl, mobile subscriber is in each subframe to serving BS and interference base station downlink reference signal
It measures, obtains the corresponding SINR of each subcarrier, its equivalent SINR is then calculated according to each subcarrier measured value, is passed through
Mapping relations obtain the corresponding CQI of equivalent SINR, then periodically report the CQI value of acquisition；Base station is according to available
Bandwidth and number of service subscribers, according to etc. resource allocations principle, distribute certain frequency spectrum resource for each user；Meanwhile it will
The CQI of user feedback is mapped to spectrum efficiency, in conjunction with allocated frequency spectrum resource, maximum data of the calculation base station to each user
Service ability.
Further, in step s 2, the data packet number reached in the serving BS counting user last period, according to Poisson
Formula calculates the corresponding observation probability under different business intensity；Then, (no according to the correspondence conviction state in a upper adjustment period
The probability occurred with intensity business) and business between transition probability, calculate the corresponding conviction state of current period business；Most
Afterwards, it according to each traffic intensity and corresponding conviction state, may be reached in conjunction with adjustment cycle duration to get in the adjustment period
Data packet number.
Further, in step s3, for ABS density each in Candidate Set, the serving BS pair obtained according to step S1
The service ability of user data calculates average service ability of the base station to each user under currently selected ABS density；Meanwhile
In conjunction with the newly arrived data that step S2 is predicted, the goodput of each user and adjustment period in the adjustment period are calculated
At the end of etc. length of data queue to be transmitted.
Further, in step s 5, the handling capacity that each macro base station is estimated according to base station small in service area calculates adjustment week
The corresponding total throughout of each ABS density in phase；Macro base station is obtained according to dissatisfied user's number of base station each in service area
It adjusts and is unsatisfied with total number of users in the period, with user's accounting can must be unsatisfied with；Finally, system selected according to following rule it is optimal
ABS density is configured: when meeting system requirements there are the corresponding dissatisfied user's ratio of multiple candidate's ABS density, selection is most
ABS density corresponding to big total throughout；When the corresponding dissatisfied user's accounting of all candidate's ABS density is all unsatisfactory for requiring
When, select minimum dissatisfied user than corresponding ABS density；After macro base station selects best ABS density, macro base station notice clothes
The each small base station being engaged in area, then each base station is started to work with selected abs mode.
The beneficial effects of the present invention are: the present invention is for macro base station severe jamming cellulor in isomery dense cellular network
This problem of extended area user is proposed one kind and is predicted based on customer service and consider user data to be transferred team leader as constraint
Time-domain resource optimization method, realize while promoting cellulor extended area user performance, macro user performance can also obtain
It ensures；This method effectively considers data to be transferred amount and the base station relationship between the two to user data transfer capability, passes through
Adjust a kind of equilibrium of supply and demand in ABS density realization resource, thus while meeting user demand, maximization network performance.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out
Illustrate:
Fig. 1 is isomery cellular network topologies and frame structure schematic diagram；
Fig. 2 is that the flow chart that customer service arriving amt is predicted in complete cycle is exchanged in base station；
Fig. 3 is traffic forecast in the present invention and considers the totality that optimal ABS density selects under user team leader's constraint condition
Flow diagram.
Specific embodiment
Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.
Fig. 1 is isomery cellular network topologies and frame structure schematic diagram, and heterogeneous network mainly has compared with high transmitting power again
Macro base station node and the small base station of low-power form.For the homogenous networks existing for the only macro base station, small base station there are masters
Play a part of signal blind zone covering and capacity enhancing.Since current network mainly takes most strong RSRP cell selecting party
Formula, so causing small base station resource using lowly even if user close to small base station, is also easier to receive the service of macro base station.For
Promotion resource utilization, allows the user near cellulor to be linked into small base station, increases often through on small base station signal
The mode of one bias carries out, and the region that bias mode increases usually is called extended area, such as grey area in left figure
Shown in domain.At this point, the user being located in extended area will will receive macro base station severe jamming, cause user throughput very low
Under.In order to reduce macro base station interference, the mode for making macro base station silent in certain subframes is currently mainly taken to carry out.Such as figure right part
Shown in point, when being in the part shared subframe, macro user and cellulor central area user are worked normally, when being located at ABS section,
Macro base station keeps silent, i.e., no longer transmits user data, and small base station extended area user carries out normal data transmission.
Fig. 2 be base station exchange the flow chart that customer service arriving amt is predicted in complete cycle, as shown, include with
Lower step:
Step 201: base station monitors user data queue and becomes, and counts last adjustment cycle data packet arriving amt, according to arriving
The data packet number reached calculates the probability occurred under each traffic intensity, namely observation function.
Step 202: according to the corresponding conviction state of a upper period each traffic intensity, reaching data packet in conjunction with a upper period
Intrinsic state transfer relationship between corresponding observation function and service condition calculates current adjustment period each business
The corresponding conviction state of intensity.
Step 203: the probability and corresponding traffic intensity occurred according to adjustment period each service condition calculates this week
Average traffic intensity in phase.
Step 204: according to the calculated average traffic intensity of previous step, in conjunction with current adjustment cycle duration, Ji Ketong
The data packet number that this mode predicts that currently the adjustment period most possibly occurs is crossed, the size of combined data packet can calculate
Corresponding portfolio size out.
Fig. 3 is traffic forecast in the present invention and considers the totality that optimal ABS density selects under user team leader's constraint condition
Flow diagram, specifically, method provided by the invention includes following below scheme:
Step 1: mobile subscriber calculates Signal to Interference plus Noise Ratio (SINR) according to serving BS and interference base station signal strength,
Signal to Interference plus Noise Ratio channel quality indicator (CQI) is mapped to according to configuration simultaneously to report periodically.
Step 2: the CQI that serving BS is uploaded according to mobile subscriber equipment, it currently can obtainable resource block in conjunction with user
Quantity calculates serving BS to the data service rate of each mobile subscriber.
Step 3: each user's data to be transferred queue reached within the last adjustment period in serving BS statistics rlc layer
Packet quantity, while the length of each data to be transferred queue is counted, newly arrived data packet number in the prediction adjustment period.
Step 4: all candidate's ABS density values of traversal, under selected ABS density, serving BS calculates the adjustment period
The data volume size of interior each user's actual transmissions, while calculating user's remaining data queue length after the end cycle.
Step 5: serving BS by each mobile subscriber adjustment the period in volume of transmitted data calculate after, by institute
There is the data volume of user to add up, obtains the total handling capacity of serving BS；Meanwhile according to user data queue length to be passed,
Statistics is greater than user's number of quene threshold Qmax.
Step 6: system calculates according to the handling capacity of each base station and obtains system under each candidate's ABS density and always handle up
Amount, meanwhile, it obtains and is unsatisfactory for mobile subscriber's sum of queue length requirement and its ratio of the total number of users of Zhan；Finally, minimum is not
ABS density corresponding to satisfied users accounting is to acquire optimal ABS density.
Wherein, specifically:
In step 1, mobile subscriber surveys serving BS and interference base station downlink reference signal in each subframe
Amount, calculates each subcarrier corresponding SINR at this time, then calculates equivalent broadband SINR according to subframe type, and subframe is divided into routine
Subframe and silent subframe, measure and then obtain equivalent broadband SINR to same type subframe, then obtained by mapping relations
To corresponding CQI (channel quality instruction), periodically measurement result is reported later.
In step 2, serving BS according to service user quantity K, according to base station configure total bandwidth size W, according to
Etc. resource allocations principle, obtain the amount of bandwidth B=W/K of the distribution of each user；Meanwhile the CQI of user feedback being mapped
For spectrum efficiency E, finally combines and obtain base station to data service capabilities μ=BE of user.
In step 3, a serving BS rlc layer statistically period newly arrived user data package quantity N1, according to known
Traffic intensityCalculate the probability occurred under each traffic intensityThen, according to pattra leaves
This posterior probability calculation formula obtains the probability that current decision period each traffic intensity is likely to occurThen, according to calculated traffic intensity probabilityJust next period average traffic intensity is obtainedFinally, according toMode, which calculates, can be obtained next week
Phase possible data packet arriving amt.
In step 4, for the silent subframe ratio α of each in Candidate Set, the serving BS that is obtained according to step b to
The service ability μ at family calculates average service ability of the BS to each UE at current α；Meanwhile the number predicted in conjunction with step c
According to amount, the amount of user data in next period actual transmissions is calculated:Wherein, Q indicates upper one
Period residue data to be transferred team leader, T indicate adjustment cycle duration, while remaining data queue when next end cycle also can be obtained
Length:
In step 5, base station adds up to the portfolio for the actual transmissions that each user is predicted, obtains total gulp down
The amount of spitting Tb, meanwhile, the next adjustment cycle user residue data to be transferred length Q' being calculated according to step d, according to user couple
QOS demand and set maximum queue length constraint Qmax, statistical fractals base station is unsatisfied with user (that is: Q'> Qmax) quantity Kb.
In step 6, system is according to the calculated T in each base stationbAnd dissatisfied number of users Kb, obtain at each α
Corresponding overall system throughput, Ts=∑ TbAnd system is always unsatisfied with number of users, Ks=∑ Kb, at this point, pressing β=Ks/ K is calculated
The ratio of the total number of users of Zhan of dissatisfied number of users can be obtained.Finally, calculating the corresponding dissatisfied user of all candidate α
It than after, is selected in the following manner: assuming that it is β that maximum as defined in system, which is unsatisfied with user's ratio,max, a) when multiple α are corresponding
β meets system requirements βmaxWhen (β < βmax), select maximum throughput T in satisfactory βsCorresponding α is required；
B) when all candidate silent subframes are all unsatisfactory for system requirements than corresponding dissatisfied user's ratio, silence corresponding to minimum β
Subframe is than being required.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (2)
1. a kind of dynamic enhancement type district disturbance coordination method based on traffic forecast, it is characterised in that: this method include with
Lower step:
S1: mobile subscriber calculates Signal to Interference plus Noise Ratio according to serving BS and interference base station signal strength measurement, matches according to system
It sets and Signal to Interference plus Noise Ratio is mapped to channel quality indicator (CQI), and be reported to serving BS；Serving BS is according to the CQI of reporting of user
Information, and the frequency spectrum resource being currently available calculate serving BS to the data service capabilities of each user；
Serving BS according to service user quantity K, according to serving BS configure total bandwidth size W, according to etc. resource allocations
Principle, obtain the amount of bandwidth B=W/K of the distribution of each user；Meanwhile the CQI of user feedback is mapped as spectrum efficiency
E is finally combined and is obtained serving BS to data service capabilities μ=BE of user；
S2: serving BS utilizes dMMPP, i.e., discrete Markov Modulated Poisson process carrys out analog subscriber service generation process, and
Counting user previous cycle data packet reaches situation, calculates and reaches the probability that packet quantity occurs under each traffic intensity, namely
Function is observed, using POMDP model, i.e. it is corresponding can to survey the next periodic traffic state of markov decision process model acquisition for part
Probability calculates average traffic intensity according to each state probability of occurrence, then calculates user according to adjustment period length and reaches
Packet quantity；The following steps are included:
S21: serving BS counts last adjustment cycle data packet arriving amt, is calculated according to the data packet number of arrival each
The probability occurred under traffic intensity, namely observation function；
S22: according to the corresponding conviction state of a upper period each traffic intensity, i.e. the probability that occurs of varying strength business, in conjunction with
A upper period reaches state transfer relationship intrinsic between the corresponding observation function of data packet and service condition, calculates and works as
The corresponding conviction state of preceding adjustment period each traffic intensity；
S23: the probability and corresponding traffic intensity occurred according to adjustment period each service condition calculates average in the period
Traffic intensity；
S24: current adjustment week is predicted in conjunction with current adjustment cycle duration according to the calculated average traffic intensity of previous step
The data packet number that phase most possibly occurs；
S3: each candidate value in traversal candidate's ABS density value set is calculated in the adjustment period and is used under selected ABS density
Family can actually pass data volume, while calculate the length of buffer queue after adjusting end cycle, whether judge user's packet quantity to be passed
More than caching team leader, overflow；System will overflow the smallest principle of number of users accounting according to handling capacity maximum, buffer queue and make
To select ABS density foundation；
In step s3, for ABS density each in Candidate Set, according to the serving BS of step S1 acquisition to the clothes of user data
Business ability calculates average service ability of the serving BS to each user under currently selected ABS density；Meanwhile in conjunction with step
The newly arrived data that S2 is predicted, when calculating the goodput of each user in the adjustment period and adjusting end cycle etc.
Length of data queue to be transmitted；
S4: according to the data volume of mobile subscriber's actual transmissions within the adjustment period, each serving BS within the adjustment period is calculated
Total throughout size；Meanwhile the length of data queue obtained according to step S3, it is long that calculating is unsatisfactory for maximum queue in the adjustment period
Spend the number of users of constraint；
S5: according to the handling capacity size of the obtained each serving BS of step S3, macro base station calculates total throughout in coverage
Size；Meanwhile statistics is unsatisfactory for the total number of users of queue length requirement, obtains the ratio of the dissatisfied total number of users of user Zhan；Most
Afterwards, according to calculated throughput of system and dissatisfied user ratio, best ABS density is selected from Candidate Set；
In step s 5, the handling capacity that each macro base station is estimated according to base station small in service area calculates each ABS in the adjustment period
The corresponding total throughout of density；Macro base station is adjusted week according to dissatisfied user's number of serving BS each in service area
Total number of users is unsatisfied in phase, with user's accounting can must be unsatisfied with；Finally, according to following rule to select optimal ABS close for system
Degree is configured: when meeting system requirements there are the corresponding dissatisfied user's ratio of multiple candidate's ABS density, selection maximum is always gulped down
ABS density corresponding to the amount of spitting；When the corresponding dissatisfied user's accounting of all candidate's ABS density all is unsatisfactory for requiring, selection
The dissatisfied user of minimum is than corresponding ABS density；After macro base station selects best ABS density, macro base station is notified in service area
Each small base station, then each serving BS is started to work with selected abs mode.
2. a kind of dynamic enhancement type district disturbance coordination method based on traffic forecast according to claim 1, special
Sign is: in step sl, mobile subscriber measures serving BS and interference base station downlink reference signal in each subframe,
The corresponding SINR of each subcarrier is obtained, its equivalent SINR is then calculated according to each subcarrier measured value, passes through mapping relations
The corresponding CQI of equivalent SINR is obtained, then periodically reports the CQI value of acquisition；Serving BS is according to available bandwidth
And number of service subscribers, according to etc. resource allocations principle, distribute certain frequency spectrum resource for each user；Meanwhile by user
The CQI of feedback is mapped to spectrum efficiency, in conjunction with allocated frequency spectrum resource, calculates serving BS to the maximum data of each user
Service ability.
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| CN109389306B (en) * | 2018-09-30 | 2021-01-26 | 中国联合网络通信集团有限公司 | User order synchronization method and device |
| CN110933758B (en) * | 2019-11-28 | 2022-12-23 | 中国联合网络通信集团有限公司 | Interference coordination method and device, and base station |
| CN114885336A (en) * | 2022-06-09 | 2022-08-09 | 中国联合网络通信集团有限公司 | Interference coordination method, device and storage medium |
| CN115996176B (en) * | 2023-03-24 | 2023-05-30 | 广州世炬网络科技有限公司 | Node topology structure adjusting method and device |
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