CN105722165A - Handover parameter self-configuration method based on high frequency handover failure region sensing - Google Patents
Handover parameter self-configuration method based on high frequency handover failure region sensing Download PDFInfo
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- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
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- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W36/24—Reselection being triggered by specific parameters
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Abstract
The invention discloses a handover parameter self-configuration method based on high frequency handover failure region sensing in a heterogeneous cellular network, and belongs to the technical field of wireless communication. According to the method, an environment sensing SON (Self-Organizing Network) entity is constructed at a network side; handover event information in a network environment is collected for a long time through an RRC layer; the information is characterized, thus obtaining a handover performance geographical distribution table; when the network is operated, an SON takes the distribution table as an optimization reference, generates specific measuring parameters for UE entering into a high frequency HOF (handover failure) region and sends the parameters to the UE through the RRC layer, thus modifying the measuring configuration of the UE and increasing the handover performance of the UE in the high frequency HOF (handover failure) region.
Description
Technical field
The invention belongs to wireless communication technology field, relate to the handoff parameter self-configuration method based on high frequency failed handoff perception in a kind of isomery cellular network.
Background technology
In the evolution process of mobile communication system, due to popularizing of various intelligent terminal, there is the growth of blowout formula in data traffic, Future Data business will be mainly distributed on indoor and hot zones.Therefore, intensive isomery small cell network will become improves the network coverage, significantly one of Main Means promoting power system capacity.More intensive network design, also make network topology more complicated, based on the mobility enhanced scheme of terminal capability lifting, community quickly finds, intensive minizone cooperates, and considers the self-organizing network SON etc. of each side, is all the study hotspot of current isomery cellular network aspect.
SON (Self-OrganizingNetwork, self-organizing network) is network theory and the specification of the complete set drawn with LTE development.SON is mainly proposed by operator, and its main thought is to realize some autonomic functions of wireless network, reduces artificial participation, cuts operating costs.The function of SON mainly can be summarized as: self-configuring, self-optimizing, self-healing.SON is proposed higher demand by next generation mobile communication network.
SON needs are more intelligent tackles network requirement end to end.The existing SON understanding to covering problem such as cavity location, pingpang handoff region etc., it is all based on the knowledge of aspect during the test sky such as data or user report, but actually, this way does not also meet a new generation's Targets for efficient resource utilization and low delay, solve the key of this bottleneck, being that SON needs more intelligence, more intelligent SON can pass through SON engine sensing network environment, and build dynamic network environment model and carry out the behavior of prognoses system.
The SON of a new generation has big time span.The change of wireless environment, can affect the performance of network.Past most research is devoted to solve poor efficiency and the loss problem that short time change (rapid fading, shadow effect) brings.It practice, when SON adopts big time span, it is possible to more good utilisation system effectiveness.Therefore, the SON in a new generation needs to solve network can not well adapt to the inefficiency problem brought during change for a long time, and solves the key of this problem, is in that SON network has the long-time ability adapting to network change.
New Generation Mobile Communication Network needs unified KPI.Owing to SON needs to use under comparatively various environment such as multiple subscriber access mode, plurality of devices provider.Therefore, unified index is very necessary.In order to fully realize the various functions of SON, it is necessary to set up new, a unified cross-layer KPI, this KPI and both can reflect the experience of user accurately, it is also possible to each layer of network is carried out the quantization of index.
The SON needing active of New Generation Mobile Communication Network.SON function in 3G or 4G is all designed to, when problematic generation, be reflected.And such SON reactive machanism cannot meet the requirement of the proposed low delay of a new generation, because the substantial amounts of time is wasted in the observation of environment, problem analysis, above the settlement mechanism that sets out.Therefore, for the SON of a new generation, it is necessary to change traditional passive coping mechanism, coping strategy actively is become.
Along with the proposition of 5G, the intensive of networking and the multiformity (such as user freely disposes Home eNodeB) of network design are further promoted, thus the efficiency and accuracy to mobile management is also required to higher requirement.For the switching occurring switching between cellulor frequently and macrocellular to arrive macrocellular again to cellulor in network, reducing handover delay, avoiding unnecessary switching is the research emphasis of switchover policy in isomery Cellular Networks.Due to data storage and the restriction of disposal ability, in existing network, substantial amounts of data fail to be fully utilized and are just dropped, and cause a kind of waste.Having come into now the information age, substantial amounts of data have been applied in every field.
Summary of the invention
For above the deficiencies in the prior art, it is proposed that a kind of method that performance of handoffs can be brought to promote.Environment sensing self-organization network technology perception handoff environment information is utilized when particularly user random placement SmallCell or Home eNodeB situation occurring in relatively intensive heterogeneous network scene, the method technical scheme moving robustness optimization for specific region is as follows: a kind of handoff parameter self-configuration method based on high frequency failed handoff perception, and it comprises the following steps:
Step 1) in isomery cellular network, at network side, long time scale environment sensing SON entity is set, specifically include following submodule: configuring self-optimizing module for carrying out the environment sensing SON interface of information exchange, environment information acquisition module, environmental characteristic processing module, environmental characteristic information bank and SON with other protocol layers, this module is made up of Optimization Algorithms Library and aspect of network self-configuration module；Enable UE position estimation module at network side simultaneously and carry out customer location measurement, as the auxiliary equipment obtaining environmental information；
Step 2) environment information acquisition module in environment sensing SON entity obtains handover management Key Performance Indicator from isomery cellular network rrc layer entity, namely handoff failure, two kinds of network handover events of handover success, handover management Key Performance Indicator and step 1) the customer location estimated result that obtains is the environmental information of required acquisition；
Step 3) the two kinds of environmental informations inputs of the handover management Key Performance Indicator that environment information acquisition module got and customer location estimated result are to environmental characteristic processing module, carry out environmental information analyzing and processing, obtain characterizing the performance of handoffs geographical distribution table of high frequency failed handoff in current network area comprehensively, and store to Environmental Information Feature information bank；
Step 4) every certain large scale time cycle, performance of handoffs geographical distribution table is directed into configuration self-optimizing module in SON entity as self-optimizing foundation, self-optimizing module formulates optimisation strategy targetedly according to the environment sensing result of back, if detecting certain UE position to enter high frequency handoff failure generation area, then generate new RRC for it and measure configuration parameter triggered time TTT and A3 bias；
Step 5) SON entity by optimize after configuration parameter be issued to rrc layer, rrc layer according to parameter value generate RRC reconfiguration message, be sent to correspondence UE, revise this UE RRC measure configuration, complete parameter configuration.
Further, step 2) in SON entity from rrc layer obtain handover management Key Performance Indicator by environment sensing SON interface realize, and the SON entity of network side to set up data exchange interface with customer location estimation module E-SMLC, while record handover management Key Performance Indicator, obtain customer position information, after setting up association, obtain handover management Key Performance Indicator geographical distribution situation.
Further, step 2) environment sensing SON performs in environment information acquisition process, environment information acquisition module sets up data exchange channel by environment sensing SON interface and rrc layer, handover event is had to occur in network, RRC is by the kind of this handover event and handover success or failure, and UEid corresponding with this event together reports environment information acquisition module, environment information acquisition module after receiving handover event information immediately according to the UE identifier that receives to the positional information of E-SMLC acquisition request current time UE, and by this positional information and the combination of handover event information, generate HandoverEventInformationElement to store as environmental information element.
Further, step 3) in environmental information analyzing and processing process be based upon step 2) continuous collecting environmental information some long-time after, these environmental informations are input to environmental characteristic processing module and carry out Data Analysis Services, obtain performance of handoffs geographical distribution table, travelling performance handover management Key Performance Indicator geographic profile information is carried out rasterizing process by environment sensing SON, network area is divided into multiple grid by the area according to the current administrative network area of SON, is that each grid region calculates corresponding switching self-optimizing weights afterwards；These weights can directly represent with the handover failure rate HOF/ (HOS+HOF) in grid region, if there is not any switching in certain region, then weights are designated as-1, after the HOFrate handover failure rate of all grid region has calculated, if the HOFrate in certain region exceedes default thresholding, then by this zone marker be high frequency handoff failure occur area；Performance of handoffs geographical distribution table after process imports SON and configures self-optimizing module.
Further, step 4) in SON configure self-optimizing module and import environmental information data as parameter self-optimizing according to particularly as follows: in the network operation, from E-SMLC, SON entity configuration self-optimizing module is once learn that certain UE enters step 3) the high frequency HOF region that identifies the performance of handoffs geographical distribution table that obtains, being the specific RRC of this UE decision making and measure parameter TTT and A3_OFFSET, new parameter value is handed down to rrc layer protocol stack by the handshake interface between SON entity and rrc layer.
Further, described step 5) in, after rrc layer receives the RRC measurement parameter of the new decision-making of SON entity, generate one and new report configuration information unit, configuration burst types is event flip-over type, event type is A3, triggered time TTT and A3 bias configure according to the parameter value received from SON, measuring amount is set to RSRP, report other fields of configuration IE still according to original configuration, after reporting configuration to generate, RRC produces a MeasConfig measurement configuration information unit, configuration is reported to add in the ReportConfigToAddModList queue measuring configuration by above-mentioned, finally, RRC is by this MeasConfig encapsulation to RRC reallocation message RRC_Reconfiguration, it is handed down to UE, UE performs measurement after receiving RRC reallocation message and reconfigures, the RRC revising self measures parameter.
Advantages of the present invention and having the beneficial effect that:
The present invention is compared with tradition SON technology, and the method, based on environment sensing SON, has fully taken into account isomery cellular network and changed for a long time, and especially in Future cellular networks, user freely disposes Home eNodeB and makes the inefficiency problem that network topology appearance is slowly varying brought.SON can change owing to network structure or network-intensive degree change the handoff environment information caused by Intellisense, moves robustness optimization with environmental information for foundation and can bring the lifting of performance of handoffs.
Accompanying drawing explanation
Fig. 1 is the long time scale environment sensing SON framework that the present invention provides preferred embodiment to rely on；
Fig. 2 is environment information acquisition and self-optimizing detail flowchart；
Fig. 3 is effect of optimization contrast before and after rule networking scene method is implemented；
Fig. 4 is effect of optimization contrast before and after user networking scene method is implemented；
Fig. 5 is the handoff parameter self-configuration method overview flow chart based on high frequency failed handoff perception.
Detailed description of the invention
Below in conjunction with accompanying drawing, the invention will be further described:
As it is shown in figure 1, Fig. 1 is the long time scale environment sensing SON framework that this method enforcement relies on.Build long time scale environment sensing SON entity at network side, enable UE position estimation module at network side simultaneously and carry out UE position measurement, as the auxiliary obtaining environmental information.Long time scale environment sensing SON entity, specifically include following submodule: for carrying out the environment sensing SON interface of information exchange with other protocol layers, environment information acquisition module, environmental characteristic processing module, environmental characteristic information bank, and SON configuration self-optimizing module (this module is made up of Optimization Algorithms Library and aspect of network self-configuration module).By large scale environment sensing SON module interface, SON module gathers environmental data from isomery cellular network lower-layer protocols stack, such as wireless link measurement data, customer location detection data, resource utilization situation, handover success/failure statistical data etc., the network behavior model (i.e. indices distribution situation in relatively accurate network environment) that will obtain after these data summarization analyses.The network environment of special time period is predicted by SON engine according to network behavior model, and issues corresponding self-optimizing, self-configuration parameter etc. to isomery cellular network.
Fig. 2 is based on environment information acquisition and self-optimizing detail flowchart.Environment sensing module performs performance of handoffs data acquisition with the long time scale cycle, and obtain corresponding UE geographical location information from UE position estimation module, two kinds of data obtain performance of handoffs distribution table (i.e. environmental characteristic process) in conjunction with post processing, and pass to SON module.The HOF region occurred frequently that SON module is determined in scene according to performance of handoffs distribution table, formulates optimisation strategy.In this method, the UE for entering HOF district occurred frequently configures specific RRC measurement parameter triggered time TTT and A3_Offset.Concrete self-optimizing policy distribution is to rrc layer, and RRC generates RRC_Reconfiguration message and is issued to after UE, UE receive and performs new parameter configuration, and corresponding performance indications obtain optimizing lifting.
Environment information acquisition module in environment sensing SON entity from isomery cellular network rrc layer entity obtain HandoverManagementKPI (handover management Key Performance Indicator), namely HandoverFailure (handoff failure), two kinds of network handover events of HandoverSuccess (handover success).The environmental information that the customer location estimated result that HandoverManagementKPI and previous step obtain obtains needed for being in this environment perception method.SON entity is obtained switching KPI from rrc layer and is realized by environment sensing SON interface.And the SON entity of network side to set up data exchange interface with customer location estimation module E-SMLC, while record KPI, obtain customer position information, after setting up association, obtain KPI geographical distribution situation.Two kinds of environmental informations of the HandoverManagementKPI that environment information acquisition module gets and customer location estimated result input to environmental characteristic processing module, carry out environmental information analyzing and processing, obtain characterizing the performance of handoffs geographical distribution table of high frequency failed handoff in current network area comprehensively, and store to Environmental Information Feature information bank.
Step 201: environment sensing SON performs in environment information acquisition process, environment information acquisition module sets up data exchange channel by environment sensing SON interface and rrc layer, having handover event to occur in network, RRC together reports environment information acquisition module by kind (handover success or failure) and the UEid corresponding with this event of this handover event.Environment information acquisition module after receiving handover event information immediately according to the UE identifier that receives to the positional information of E-SMLC acquisition request current time UE, and by this positional information and the combination of handover event information, generate HandoverEventInformationElement and be stored in the data file HoPosition.dat in SON entity as environmental information element.
Step 202: after have accumulated some, being enough to characterize the environmental information element of performance of handoffs within the scope of current network, these environmental informations are input to environmental characteristic processing module and carry out Data Analysis Services, obtain performance of handoffs geographical distribution table.Resource is calculated in order to promote operation efficiency in self-optimizing execution process, save, travelling performance KPI geographic profile information is carried out rasterizing process by environment sensing SON, network area is divided into multiple grid by the area according to the current administrative network area of SON, is that each grid region calculates corresponding switching self-optimizing weights afterwards.These weights can directly represent with the handover failure rate HOF/ (HOS+HOF) in grid region.If there is not any switching in certain region, then weights are designated as-1.After the HOFrate handover failure rate of all grid region has calculated, if the HOFrate in certain region exceedes default thresholding, for instance 50%, then by this zone marker be high frequency handoff failure occur area.Performance of handoffs geographical distribution table after process is stored in file HofGridDistribution.dat, imports SON and configures self-optimizing module.
Step 203: middle SON configures self-optimizing module and imports environmental information data as parameter self-optimizing foundation.In the network operation, SON entity configuration self-optimizing module, once learn that certain UE enters the high frequency HOF region identified performance of handoffs geographical distribution table from E-SMLC, is the specific RRC of this UE decision making and measures parameter TTT and A3_OFFSET.New parameter value is handed down to rrc layer protocol stack by the handshake interface between SON entity and rrc layer.
After step 204:RRC layer receives the RRC measurement parameter of the new decision-making of SON entity, generate one and new report configuration information unit, configuration burst types is event flip-over type, event type is A3, triggered time TTT and A3 bias configure according to the parameter value received from SON, and measuring amount is set to RSRP.Report other fields of configuration IE still according to original configuration.After reporting configuration to generate, RRC produces a MeasConfig measurement configuration information unit, reports configuration to add in the ReportConfigToAddModList queue measuring configuration by above-mentioned.Finally, RRC, by this MeasConfig encapsulation to RRC reallocation message RRC_Reconfiguration, is handed down to UE.UE performs measurement after receiving RRC reallocation message and reconfigures, and the RRC revising self measures parameter so that promote from obtaining travelling performance in high frequency HOF region during motion.
Fig. 3 is effect of optimization contrast before and after rule networking scene method is implemented.Figure can be seen that the result after the handover event record collected carries out rasterizing, and perform the performance of handoffs lifting effect after optimizing.Before performing SON scheme, the handoff failure in UE moving process is concentrated mainly on scene central authorities and disposes the region comparatively concentrated.SON entity can obtain the comparatively accurate geographical distribution situation of handover event by collection analysis environmental information.After performing SON parameter configuration self-optimizing, it can be seen that the HOF quantity of middle section reduces, and handover failure rate can obtain a degree of reduction.
Fig. 4 is effect of optimization contrast before and after the free networking scene method of user is implemented.Assume that the user in scene freely disposes Home eNodeB (SmallCell) on 7 MacroCell bases, and be distributed more concentratedly.It can be seen that HOF distributed areas are consistent with intensive SmallCell deployment region from handover event cartogram.Therefore this method can the impact that brings to network topology change of Intellisense, and automatically make specific aim adjustment, that saves that legacy network configuration needs is artificial.
The above embodiment is interpreted as being merely to illustrate the present invention rather than limiting the scope of the invention.After having read the content of record of the present invention, the present invention can be made various changes or modifications by technical staff, and these equivalence changes and modification fall into the scope of the claims in the present invention equally.
Claims (6)
1. the handoff parameter self-configuration method based on high frequency failed handoff perception, it is characterised in that；Comprise the following steps:
Step 1) in isomery cellular network, at network side, long time scale environment sensing SON entity is set, specifically include following submodule: configuring self-optimizing module for carrying out the environment sensing SON interface of information exchange, environment information acquisition module, environmental characteristic processing module, environmental characteristic information bank and SON with other protocol layers, this module is made up of Optimization Algorithms Library and aspect of network self-configuration module；Enable UE position estimation module at network side simultaneously and carry out customer location measurement, as the auxiliary equipment obtaining environmental information；
Step 2) environment information acquisition module in environment sensing SON entity obtains handover management Key Performance Indicator from isomery cellular network rrc layer entity, namely handoff failure, two kinds of network handover events of handover success, handover management Key Performance Indicator and step 1) the customer location estimated result that obtains is the environmental information of required acquisition；
Step 3) the two kinds of environmental informations inputs of the handover management Key Performance Indicator that environment information acquisition module got and customer location estimated result are to environmental characteristic processing module, carry out environmental information analyzing and processing, obtain characterizing the performance of handoffs geographical distribution table of high frequency failed handoff in current network area comprehensively, and store to Environmental Information Feature information bank；
Step 4) every certain large scale time cycle, performance of handoffs geographical distribution table is directed into configuration self-optimizing module in SON entity as self-optimizing foundation, self-optimizing module formulates optimisation strategy targetedly according to the environment sensing result of back, if detecting certain UE position to enter high frequency handoff failure generation area, then generate new RRC for it and measure configuration parameter triggered time TTT and A3 bias；
Step 5) SON entity by optimize after configuration parameter be issued to rrc layer, rrc layer according to parameter value generate RRC reconfiguration message, be sent to correspondence UE, revise this UE RRC measure configuration, complete parameter configuration.
2. the handoff parameter self-configuration method based on high frequency failed handoff perception according to claim 1, it is characterised in that；Step 2) in SON entity from rrc layer obtain handover management Key Performance Indicator by environment sensing SON interface realize, and the SON entity of network side to set up data exchange interface with customer location estimation module E-SMLC, while record handover management Key Performance Indicator, obtain customer position information, after setting up association, obtain handover management Key Performance Indicator geographical distribution situation.
3. the handoff parameter self-configuration method based on high frequency failed handoff perception according to claim 1 and 2, it is characterised in that；Step 2) environment sensing SON performs in environment information acquisition process, environment information acquisition module sets up data exchange channel by environment sensing SON interface and rrc layer, handover event is had to occur in network, RRC is by the kind of this handover event and handover success or failure, and UEid corresponding with this event together reports environment information acquisition module, environment information acquisition module after receiving handover event information immediately according to the UE identifier that receives to the positional information of E-SMLC acquisition request current time UE, and by this positional information and the combination of handover event information, generate HandoverEventInformationElement to store as environmental information element.
4. the handoff parameter self-configuration method based on high frequency failed handoff perception according to claim 3, it is characterised in that；Step 3) in environmental information analyzing and processing process be based upon step 2) continuous collecting environmental information some long-time after, these environmental informations are input to environmental characteristic processing module and carry out Data Analysis Services, obtain performance of handoffs geographical distribution table, travelling performance handover management Key Performance Indicator geographic profile information is carried out rasterizing process by environment sensing SON, network area is divided into multiple grid by the area according to the current administrative network area of SON, is that each grid region calculates corresponding switching self-optimizing weights afterwards；These weights can directly represent with the handover failure rate HOF/ (HOS+HOF) in grid region, if there is not any switching in certain region, then weights are designated as-1, after the HOFrate handover failure rate of all grid region has calculated, if the HOFrate in certain region exceedes default thresholding, then by this zone marker be high frequency handoff failure occur area；Performance of handoffs geographical distribution table after process imports SON and configures self-optimizing module.
5. the handoff parameter self-configuration method based on high frequency failed handoff perception according to claim 4, it is characterised in that；Step 4) in SON configure self-optimizing module and import environmental information data as parameter self-optimizing according to particularly as follows: in the network operation, from E-SMLC, SON entity configuration self-optimizing module is once learn that certain UE enters step 3) the high frequency HOF region that identifies the performance of handoffs geographical distribution table that obtains, being the specific RRC of this UE decision making and measure parameter TTT and A3_OFFSET, new parameter value is handed down to rrc layer protocol stack by the handshake interface between SON entity and rrc layer.
6. the handoff parameter self-configuration method based on high frequency failed handoff perception according to claim 4, it is characterised in that；Described step 5) in, after rrc layer receives the RRC measurement parameter of the new decision-making of SON entity, generate one and new report configuration information unit, configuration burst types is event flip-over type, event type is A3, triggered time TTT and A3 bias configure according to the parameter value received from SON, measuring amount is set to RSRP, report other fields of configuration IE still according to original configuration, after reporting configuration to generate, RRC produces a MeasConfig measurement configuration information unit, configuration is reported to add in the ReportConfigToAddModList queue measuring configuration by above-mentioned, finally, RRC is by this MeasConfig encapsulation to RRC reallocation message RRC_Reconfiguration, it is handed down to UE, UE performs measurement after receiving RRC reallocation message and reconfigures, the RRC revising self measures parameter.
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