CN103501504A - Moving robustness optimization method easy to achieve based on switching statistics - Google Patents

Moving robustness optimization method easy to achieve based on switching statistics Download PDF

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CN103501504A
CN103501504A CN201310416033.XA CN201310416033A CN103501504A CN 103501504 A CN103501504 A CN 103501504A CN 201310416033 A CN201310416033 A CN 201310416033A CN 103501504 A CN103501504 A CN 103501504A
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switching
cio
base station
cell base
source cell
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CN103501504B (en
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王霞
刘源昊
李锋
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Xian Jiaotong University
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Xian Jiaotong University
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Abstract

The invention discloses a moving robustness optimization method easy to achieve based on switching statistics. In the moving robustness optimization process, compared with the prior art in which a method is high in complexity and difficult to achieve, the simplified and improved method for optimizing moving robustness in an LTE SON multi-cell honeycomb type mobile network is provided. Specifically, after untimely switching, too late switching and switching to a wrong cell are judged, the judging result of switching to the wrong cell is marked as untimely switching and too late switching, statistics about the proportion of successful switching happened within a preset cycle are collected, and then operation is carried out according to the proportion of successful switching within the preset cycle when optimization is needed, and moving robustness optimization is achieved by adjusting cell delay parameters and deviation values among cells.

Description

A kind of mobile robustness optimization method based on the switching statistics of easy realization
Technical field
The invention belongs to the mobile communication technology field, be specifically related to the mobile robustness optimization method based on the switching statistics of a kind of easy realization in the LTE self-organizing network.
Background technology
In the 3GPP Long Term Evolution, the fast development of the communication technology causes cellular network to become becoming increasingly complex, if lay and optimal way according to traditional network, a large amount of human configuration and the management resource by needs, for Virtual network operator, this even causes unaffordable expense, and therefore how effectively reducing the cost that uses new technology to increase is a very large challenge.Under this background, 3GPP International Standards Organization has proposed self-organizing network (SON) scheme, can reduce artificial intervention in configuration and management process as far as possible, reduce overspending, SON will become operator to network planned, the Main Means of configuration etc.
The SON technology mainly comprises self-configuring (Self-Configuration), self-optimizing (Self-Optimization) and certainly cures the content of (Self-Healing) three aspects.Self-configuration function refers to that newly deployed base station (Evolved NodeB, eNB) node can independently obtain necessary parameter configuration, thereby completes automatic configuration.Self-optimization function refers in the system running, eNB is by subscriber equipment (User Equipment, UE) measurement result and performance measurement information, adjust network operation parameter in the parameter area of operator's configuration, thereby adapt to the variation of network environment, reach the purpose of optimized network performance.Refer to that from curing function system has self-checking function, while problem being detected, can independently alleviate or solve most problems simultaneously, thereby reduce maintenance costs and avoid as far as possible the impact on network quality and user's impression.
The target of self-organizing network comprises the concrete scheme realization of mobile robustness optimization (MRO), mobility load balance (MLB), capacity and coverage optimization (CCO) and administration of energy conservation (ES) etc. Multi-instance, and one of them important example is MRO.The parameter setting of eNB has determined handoff threshold, has accessed size of thresholding etc., and then has determined the complexity of switching (Handover, HO) and access.If it is unreasonable that these parameters arrange, can cause UE occur in mobile between cellular cell irrational switching as too early switching (Too Early HO), cross switching in evening (Too Late HO) and be switched to wrong cell (HO To A Wrong Cell) etc. and cause occurring Radio Link Failure (Radio Link Failure, RLF).In the MRO process, the RLF report that eNB can report each UE is judged its type and occurrence cause after analyzing, and according to result of determination, handoff parameter is dynamically adjusted, the probability occurred to minimize unreasonable switching and RLF, thereby reach the purpose of handover optimization, make UE obtain more stable quality services.
The MRO technology is a lot of for the solution of different scenes, the universal method of prior art generally is based on the handover scheme that the A3 inequality triggers, affect the difficulty or ease of switching by revising some parameter, and then carry out the optimized network environment by parameter adjustment, improve performance of handoffs.Wherein parameter adjustment mostly is and regulates minizone deviant (Cell Individual Offset, CIO), trigger duration (Time To Trigger, TTT) and the sluggish parameter (Hysteresis in community, Hyst) etc., different methods of adjustment can produce different effects, for concrete scheme also different.And in statistics, large multi-scheme for too early switching, cross the switching in evening, be switched to wrong cell and pingpang handoff etc. mistake and detected simultaneously, eNB need to process respectively, and complexity and processing cost are higher, simultaneously also can be with processing the timeliness problem that waits not in time.Wherein, in error statistics and processing, because multiple mistake coexists and need to process respectively different parameter adjustments, so complexity is larger, be unfavorable for the actual realization of scheme.
Summary of the invention
The object of the invention is to overcome the shortcoming of above-mentioned prior art, a kind of mobile robustness optimization method based on the switching statistics of easy realization is provided, the method is easy to realize the optimization to mobile robustness, and optimizing process is simple simultaneously, processing cost is low.
For achieving the above object, the mobile robustness optimization method based on the switching statistics of easy realization of the present invention comprises the following steps:
1) the initial number of times that switches too early, crosses the switching in evening, is switched to wrong cell and successful switch occurs in source cell base station counting user terminal in the Target cell handoff procedure; and the initial number of times of the interior user terminal successful switch of calculating predetermined period accounts for the ratio of total switching times; when described ratio is less than preset ratio, optimize Hyst or corresponding CIO in source cell base station;
While 2) optimizing the interior Hyst of source cell base station or corresponding CIO; user terminal is switched to the process of wrong cell from cell-of-origin; if cell-of-origin is cell1, false target community, be that cell2, dreamboat community are cell3; be switched to the handoff procedure of wrong cell for from cell1, to switch to cell2; and switch to cell3 from cell2; setting is switched to cell2 by user terminal from cell1 and is denoted as once switching too early, and user terminal is switched to cell3 from cell1 is denoted as and once crosses the switching in evening;
3) switching too early occurs and crosses the final number of times of switching in evening in the counting user terminal in predetermined period again; when the final number of times that switching too early occurs is more than or equal to the final number of times that the switching in evening occurred, adopt the optimization method of switching too early to optimize Hyst or the corresponding CIO in source cell base station; When the final number of times that switching too early occurs is less than the final number of times that the switching in evening occurred, adopted the optimization method of switching in evening to optimize Hyst or the corresponding CIO in source cell base station, and then Hyst and CIO after optimizing were reset in source cell base station.
The optimization method of described too early switching comprises the following steps:
When the ratio that 1) when the too early community of switching of generation, accounts for all neighbor cells is more than or equal to 1/2; the Hyst in source cell base station is increased to a step-length, wherein after step-length of the increase of the Hyst in source cell base station, be less than or equal to the default maximum threshold values of Hyst; While after the step-length of Hyst increase when the ratio that accounts for all neighbor cells when the too early community of switching of generation is less than 1/2 or in source cell base station, being greater than the default maximum threshold values of Hyst; the community interior CIO of corresponding source cell base station that switching too early will occur reduces by a step-length; wherein, be more than or equal to the default minimum threshold values of CIO after the step-length of CIO minimizing in the corresponding source cell base station in community of generation switching too early; While after the CIO in the corresponding source cell base station in the community that switching too early occurs reduces a step-length, being less than the default minimum threshold values of CIO; CIO in the corresponding source cell base station in community that keeps occurring to switch too early is constant, after wherein the CIO in the community correspondence source cell base station of all generations switching too early reduces by a step-length, has a default minimum threshold values that is greater than or equal to CIO at least;
While after 2) CIO in the corresponding source cell base station in the community of all generations switching too early reduces by a step-length, all being less than the default minimum threshold values of CIO; the default minimum threshold values of CIO in source cell base station is reduced to a step-length; and then the CIO in the corresponding source cell base station in the community of the too early switching of all generations is all reduced to a step-length, wherein in source cell base station, after step-length of default minimum threshold values minimizing of CIO, belong to the default fluctuation range of the default minimum threshold values of CIO; When in source cell base station, the default minimum threshold values of CIO reduces after a step-length the default fluctuation range of the default minimum threshold values that does not belong to CIO, the Hyst in source cell base station and corresponding CIO are not optimized, and the data of this cycle record are counted to next cycle.
The described optimization method of crossing the switching in evening comprises the following steps:
When the ratio that 1) when the community that evening switching occurred, accounts for all neighbor cells is more than or equal to 1/2; the Hyst in source cell base station is reduced to a step-length, wherein after step-length of the minimizing of the Hyst in source cell base station, be more than or equal to the default minimum threshold values of Hyst; When the ratio that accounts for all neighbor cells when the community that evening switching occurred is less than 1/2 or the Hyst in source cell base station while being less than the default minimum threshold values of Hyst after reducing by a step-length; the community interior CIO of corresponding source cell base station that the switching in evening will occur increases a step-length; wherein, the default maximum threshold values that is less than or equal to CIO after the step-length of CIO increase in the corresponding source cell base station in community that occurred to switch evening; While after the CIO in the corresponding source cell base station in the community that the switching in evening occurred increases a step-length, being greater than the default maximum threshold values of CIO; the CIO that keeps occurring in the corresponding source cell base station in community of switching in evening is constant, wherein after the interior step-length of CIO increase of all corresponding source cell base station in community of crossing late switching, has a default maximum threshold values that is less than or equal to CIO at least;
While after 2) CIO in the corresponding source cell base station in all communities of crossing late switching increases a step-length, all being greater than the default maximum threshold values of CIO; the default maximum threshold values of the CIO in source cell base station is increased to a step-length; and then all community interior CIO of corresponding source cell base station that cross late switching are all increased to a step-length, wherein in source cell base station, after step-length of default maximum threshold values increase of CIO, belong to the default fluctuation range of the default maximum threshold values of CIO; When in source cell base station, the default maximum threshold values of CIO increases after a step-length the default fluctuation range of the default maximum threshold values that does not belong to CIO, the Hyst in source cell base station and corresponding CIO are not optimized, and the data of this cycle record are counted to next cycle.
The present invention has following beneficial effect:
Switching too early occurs by source cell base station counting user terminal in the mobile robustness optimization method based on the switching statistics of easy realization of the present invention in the Target cell handoff procedure, cross the switching in evening, be switched to the number of times of wrong cell and successful switch, and according to switching too early occurs, cross the switching in evening, the number of times that is switched to wrong cell and successful switch is optimized Hyst or the corresponding CIO in source cell base station, in the process of optimizing, to be switched to wrong cell is denoted as once switching too early and once crosses the switching in evening, thereby effectively reduce the complexity of source cell base station mobile robustness optimization, reduce the cost of mobile robustness optimization simultaneously, thereby be conducive to the realization of technical process, and then can effectively improve the success rate in the user terminal handoff procedure.
The accompanying drawing explanation
Fig. 1 is schematic diagram of the present invention;
The flow chart that Fig. 2 is the optimization method of too early switching in the present invention;
Fig. 3 is the flow chart of crossing the optimization method of switching in evening in the present invention;
Fig. 4 is simulation result figure of the present invention;
The distribution map that Fig. 5 is small area of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail:
With reference to figure 1, Fig. 2 and Fig. 3, the number of times that switching too early occurs in source cell base station counting user terminal switching process, cross the switching in evening, is switched to wrong cell and successful switch comprises the following steps:
1) user terminal, in each minizone moving process, judges whether to need to carry out to be switched to neighbor cell according to the A3 inequality, and described A3 inequality is as follows:
Mn-Mp>Hyst-CIO p,n (1)
Wherein, Mn is the signal strength signal intensity (can user Reference Signal Received Power value) of adjacent cell n, and Mp is the signal strength signal intensity of cell-of-origin p, the sluggish parameter that Hyst is this measurement event default in source cell base station, CIO p, nfor cell-of-origin p default in source cell base station is the minizone deviant that its neighbor cell n arranges;
2) when arbitrary community meets the A3 inequality; user terminal is attempted being switched to several neighbor cells by cell-of-origin; until successful switch is to Target cell; then source cell base station is obtained the relevant information of this handoff procedure; wherein, Target cell is the community that user terminal need to be switched to;
3) source cell base station receives the relevant information that user terminal sends over, and judges that the scene that in this handoff procedure, handoff failure occurs, the scene that described handoff failure occurs comprise too early switching, cross the switching in evening and be switched to wrong cell.
The mobile robustness optimization method based on the switching statistics of easy realization of the present invention comprises the following steps:
1) the initial number of times that switches too early, crosses the switching in evening, is switched to wrong cell and successful switch occurs in source cell base station counting user terminal in the Target cell handoff procedure; and the initial number of times of the interior user terminal successful switch of calculating predetermined period accounts for the ratio of total switching times; when described ratio is less than preset ratio, optimize Hyst or corresponding CIO in source cell base station;
While 2) optimizing the interior Hyst of source cell base station or corresponding CIO; user terminal is switched to the process of wrong cell from cell-of-origin; if cell-of-origin is cell1, false target community, be that cell2, dreamboat community are cell3; be switched to the handoff procedure of wrong cell for from cell1, to switch to cell2; and switch to cell3 from cell2; setting is switched to cell2 by user terminal from cell1 and is denoted as once switching too early, and user terminal is switched to cell3 from cell1 is denoted as and once crosses the switching in evening;
3) switching too early occurs and crosses the final number of times of switching in evening in the counting user terminal in predetermined period again; when the final number of times that switching too early occurs is more than or equal to the final number of times that the switching in evening occurred, adopt the optimization method of switching too early to optimize Hyst or the corresponding CIO in source cell base station; When the final number of times that switching too early occurs is less than the final number of times that the switching in evening occurred, adopted the optimization method of switching in evening to optimize Hyst or the corresponding CIO in source cell base station, and then Hyst and CIO after optimizing were reset in source cell base station.
The optimization method of described too early switching comprises the following steps:
When the ratio that 1) when the too early community of switching of generation, accounts for all neighbor cells is more than or equal to 1/2; the Hyst in source cell base station is increased to a step-length, wherein after step-length of the increase of the Hyst in source cell base station, be less than or equal to the default maximum threshold values of Hyst; While after the step-length of Hyst increase when the ratio that accounts for all neighbor cells when the too early community of switching of generation is less than 1/2 or in source cell base station, being greater than the default maximum threshold values of Hyst; the community interior CIO of corresponding source cell base station that switching too early will occur reduces by a step-length; wherein, be more than or equal to the default minimum threshold values of CIO after the step-length of CIO minimizing in the corresponding source cell base station in community of generation switching too early; While after the CIO in the corresponding source cell base station in the community that switching too early occurs reduces a step-length, being less than the default minimum threshold values of CIO; CIO in the corresponding source cell base station in community that keeps occurring to switch too early is constant, after wherein the CIO in the community correspondence source cell base station of all generations switching too early reduces by a step-length, has a default minimum threshold values that is greater than or equal to CIO at least;
While after 2) CIO in the corresponding source cell base station in the community of all generations switching too early reduces by a step-length, all being less than the default minimum threshold values of CIO; the default minimum threshold values of CIO in source cell base station is reduced to a step-length; and then the CIO in the corresponding source cell base station in the community of the too early switching of all generations is all reduced to a step-length, wherein in source cell base station, after step-length of default minimum threshold values minimizing of CIO, belong to the default fluctuation range of the default minimum threshold values of CIO; When in source cell base station, the default minimum threshold values of CIO reduces after a step-length the default fluctuation range of the default minimum threshold values that does not belong to CIO, the Hyst in source cell base station and corresponding CIO are not optimized, and the data of this cycle record are counted to next cycle.
The described optimization method of crossing the switching in evening comprises the following steps:
When the ratio that 1) when the community that evening switching occurred, accounts for all neighbor cells is more than or equal to 1/2; the Hyst in source cell base station is reduced to a step-length, wherein after step-length of the minimizing of the Hyst in source cell base station, be more than or equal to the default minimum threshold values of Hyst; When the ratio that accounts for all neighbor cells when the community that evening switching occurred is less than 1/2 or the Hyst in source cell base station while being less than the default minimum threshold values of Hyst after reducing by a step-length; the community interior CIO of corresponding source cell base station that the switching in evening will occur increases a step-length; wherein, the default maximum threshold values that is less than or equal to CIO after the step-length of CIO increase in the corresponding source cell base station in community that occurred to switch evening; While after the CIO in the corresponding source cell base station in the community that the switching in evening occurred increases a step-length, being greater than the default maximum threshold values of CIO; the CIO that keeps occurring in the corresponding source cell base station in community of switching in evening is constant, wherein after the interior step-length of CIO increase of all corresponding source cell base station in community of crossing late switching, has a default maximum threshold values that is less than or equal to CIO at least;
While after 2) CIO in the corresponding source cell base station in all communities of crossing late switching increases a step-length, all being greater than the default maximum threshold values of CIO; the default maximum threshold values of the CIO in source cell base station is increased to a step-length; and then all community interior CIO of corresponding source cell base station that cross late switching are all increased to a step-length, wherein in source cell base station, after step-length of default maximum threshold values increase of CIO, belong to the default fluctuation range of the default maximum threshold values of CIO; When in source cell base station, the default maximum threshold values of CIO increases after a step-length the default fluctuation range of the default maximum threshold values that does not belong to CIO, the Hyst in source cell base station and corresponding CIO are not optimized, and the data of this cycle record are counted to next cycle.
With reference to figure 4 and Fig. 5, by carry out analog simulation on emulation platform, according to result, algorithm has been obtained good effect, simulating scenes is 19 communities, every center of housing estate has a base station, sectorization no longer in community, adopt the communication behavior of system-level network simulation simulation multi-user in community, comprising customer service is generated, mobility model, channel model, simulation and the assessment of co-channel interference etc. radio communication basic link, each community user is 10, consider the boundary effect of community, the situation of 7 community, statistics center in statistic processes, the analog simulation duration can be arranged as required, here be set to 2 hours, the result of an emulation as shown in Figure 4.
According to the result of Fig. 4, can find out, at parameter setting (initial value: Hyst=0dB, CIO=5dB, capable of regulating, good result is all arranged) when unreasonable, the present invention can effectively improve handover success rate, when handover success rate is less than preset value, can realize by parameter adjustment the optimization of system switching simultaneously.

Claims (3)

1. the mobile robustness optimization method based on the switching statistics of easily realizing, is characterized in that, comprises the following steps:
1) the initial number of times that switches too early, crosses the switching in evening, is switched to wrong cell and successful switch occurs in source cell base station counting user terminal in the Target cell handoff procedure; and the initial number of times of the interior user terminal successful switch of calculating predetermined period accounts for the ratio of total switching times; when described ratio is less than preset ratio, optimize Hyst or corresponding CIO in source cell base station;
While 2) optimizing the interior Hyst of source cell base station or corresponding CIO; user terminal is switched to the process of wrong cell from cell-of-origin; if cell-of-origin is cell1, false target community, be that cell2, dreamboat community are cell3; be switched to the handoff procedure of wrong cell for from cell1, to switch to cell2; and switch to cell3 from cell2; setting is switched to cell2 by user terminal from cell1 and is denoted as once switching too early, and user terminal is switched to cell3 from cell1 is denoted as and once crosses the switching in evening;
3) switching too early occurs and crosses the final number of times of switching in evening in the counting user terminal in predetermined period again; when the final number of times that switching too early occurs is more than or equal to the final number of times that the switching in evening occurred, adopt the optimization method of switching too early to optimize Hyst or the corresponding CIO in source cell base station; When the final number of times that switching too early occurs is less than the final number of times that the switching in evening occurred, adopted the optimization method of switching in evening to optimize Hyst or the corresponding CIO in source cell base station, and then Hyst and CIO after optimizing were reset in source cell base station.
2. the mobile robustness optimization method based on the switching statistics of easy realization according to claim 1, is characterized in that, the optimization method of described too early switching comprises the following steps:
When the ratio that 1) when the too early community of switching of generation, accounts for all neighbor cells is more than or equal to 1/2; the Hyst in source cell base station is increased to a step-length, wherein after step-length of the increase of the Hyst in source cell base station, be less than or equal to the default maximum threshold values of Hyst; While after the step-length of Hyst increase when the ratio that accounts for all neighbor cells when the too early community of switching of generation is less than 1/2 or in source cell base station, being greater than the default maximum threshold values of Hyst; the community interior CIO of corresponding source cell base station that switching too early will occur reduces by a step-length; wherein, be more than or equal to the default minimum threshold values of CIO after the step-length of CIO minimizing in the corresponding source cell base station in community of generation switching too early; While after the CIO in the corresponding source cell base station in the community that switching too early occurs reduces a step-length, being less than the default minimum threshold values of CIO; CIO in the corresponding source cell base station in community that keeps occurring to switch too early is constant, after wherein the CIO in the community correspondence source cell base station of all generations switching too early reduces by a step-length, has a default minimum threshold values that is greater than or equal to CIO at least;
While after 2) CIO in the corresponding source cell base station in the community of all generations switching too early reduces by a step-length, all being less than the default minimum threshold values of CIO; the default minimum threshold values of CIO in source cell base station is reduced to a step-length; and then the CIO in the corresponding source cell base station in the community of the too early switching of all generations is all reduced to a step-length, wherein in source cell base station, after step-length of default minimum threshold values minimizing of CIO, belong to the default fluctuation range of the default minimum threshold values of CIO; When in source cell base station, the default minimum threshold values of CIO reduces after a step-length the default fluctuation range of the default minimum threshold values that does not belong to CIO, the Hyst in source cell base station and corresponding CIO are not optimized, and the data of this cycle record are counted to next cycle.
3. the mobile robustness optimization method based on the switching statistics of easy realization according to claim 1, is characterized in that, the described optimization method of crossing the switching in evening comprises the following steps:
When the ratio that 1) when the community that evening switching occurred, accounts for all neighbor cells is more than or equal to 1/2; the Hyst in source cell base station is reduced to a step-length, wherein after step-length of the minimizing of the Hyst in source cell base station, be more than or equal to the default minimum threshold values of Hyst; When the ratio that accounts for all neighbor cells when the community that evening switching occurred is less than 1/2 or the Hyst in source cell base station while being less than the default minimum threshold values of Hyst after reducing by a step-length; the community interior CIO of corresponding source cell base station that the switching in evening will occur increases a step-length; wherein, the default maximum threshold values that is less than or equal to CIO after the step-length of CIO increase in the corresponding source cell base station in community that occurred to switch evening; While after the CIO in the corresponding source cell base station in the community that the switching in evening occurred increases a step-length, being greater than the default maximum threshold values of CIO; the CIO that keeps occurring in the corresponding source cell base station in community of switching in evening is constant, wherein after the interior step-length of CIO increase of all corresponding source cell base station in community of crossing late switching, has a default maximum threshold values that is less than or equal to CIO at least;
While after 2) CIO in the corresponding source cell base station in all communities of crossing late switching increases a step-length, all being greater than the default maximum threshold values of CIO; the default maximum threshold values of the CIO in source cell base station is increased to a step-length; and then all community interior CIO of corresponding source cell base station that cross late switching are all increased to a step-length, wherein in source cell base station, after step-length of default maximum threshold values increase of CIO, belong to the default fluctuation range of the default maximum threshold values of CIO; When in source cell base station, the default maximum threshold values of CIO increases after a step-length the default fluctuation range of the default maximum threshold values that does not belong to CIO, the Hyst in source cell base station and corresponding CIO are not optimized, and the data of this cycle record are counted to next cycle.
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