CN103501504B - A kind of mobile robustness optimization method based on switching statistics of easy realization - Google Patents

A kind of mobile robustness optimization method based on switching statistics of easy realization Download PDF

Info

Publication number
CN103501504B
CN103501504B CN201310416033.XA CN201310416033A CN103501504B CN 103501504 B CN103501504 B CN 103501504B CN 201310416033 A CN201310416033 A CN 201310416033A CN 103501504 B CN103501504 B CN 103501504B
Authority
CN
China
Prior art keywords
cio
base station
cell base
source cell
switching
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201310416033.XA
Other languages
Chinese (zh)
Other versions
CN103501504A (en
Inventor
王霞
刘源昊
李锋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Jiaotong University
Original Assignee
Xian Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Jiaotong University filed Critical Xian Jiaotong University
Priority to CN201310416033.XA priority Critical patent/CN103501504B/en
Publication of CN103501504A publication Critical patent/CN103501504A/en
Application granted granted Critical
Publication of CN103501504B publication Critical patent/CN103501504B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Mobile Radio Communication Systems (AREA)

Abstract

The invention provides the mobile robustness optimization method based on switching statistics disclosing a kind of easy realization, in the process to mobile robustness optimization, for the complexity in prior art and the difficult mode realized, propose one to simplify, the LTE improved? mobile robustness optimization method in SON multi cell cellular formula mobile network, concrete, judging generation switching too early, after switching too late and being switched to wrong cell these three mistake switching, the wrong cell result that is switched to that will determine that is designated as once switching too early and once switches too late, and add up the ratio that successful switch occurs in predetermined period, then further according to when in predetermined period, the ratio-dependent of successful switch needs to be optimized, mobile robustness optimization is realized by adjusting community lag parameter and minizone deviant.

Description

A kind of mobile robustness optimization method based on switching statistics of easy realization
Technical field
The invention belongs to mobile communication technology field, the mobile robustness optimization method based on switching statistics being specifically related in LTE self-organizing network a kind of easy realization.
Background technology
In 3GPP Long Term Evolution, the fast development of communication technology causes that cellular network becomes to become increasingly complex, if network deployment traditionally and optimal way, substantial amounts of human configuration and management resource will be needed, for Virtual network operator, this even results in unaffordable expense, and therefore how effectively reducing the cost using new technique increase is a very big challenge. In this context, 3GPP International Organization for Standardization proposes self-organizing network (SON) scheme, artificial intervention in configuration and management process can be reduced as far as possible, reduce overspending, SON by become operator network is planned, the Main Means of configuration etc.
SON technology mainly includes self-configuring (Self-Configuration), self-optimizing (Self-Optimization) and the content from healing (Self-Healing) three aspects. Self-configuration function refers to that newly deployed base station (EvolvedNodeB, eNB) node can independently obtain the parameter configuration of necessity, thus completing to automatically configure. Self-optimization function refers in system operation, eNB passes through subscriber equipment (UserEquipment, UE) measurement result and performance measure information, network operational parameter is adjusted in the parameter area of operator's configuration, thus adapting to the change of network environment, reach to optimize the purpose of network performance. Refer to that system has self-checking function from curing function, can independently alleviate or solve most problems when being detected simultaneously by problem, thus reducing maintenance costs and avoiding as far as possible network quality and user are felt affected.
The target of self-organizing network includes the concrete scheme realization of mobile robustness optimization (MRO), mobility load balance (MLB), capacity and the multiple examples of coverage optimization (CCO) and administration of energy conservation (ES) etc., one of them important example and MRO. The parameter of eNB arranges and determines handoff threshold, the size accessing thresholding etc., and then determines switching (Handover, HO) and the complexity accessed.If these parameters arrange unreasonable, irrational switching is occurred such as switching (TooEarlyHO) too early, too late switching (TooLateHO) and to be switched to wrong cell (HOToAWrongCell) etc. and cause Radio Link Failure (RadioLinkFailure, RLF) during UE can be caused mobile between cellular cell. In MRO process, its type and occurrence cause are judged after being analyzed by the RLF report that each UE can be reported by eNB, and according to result of determination, handoff parameter is dynamically adjusted, to minimize unreasonable switching and the probability of RLF generation, thus reaching the purpose of handover optimization, UE is made to obtain more stable quality services.
MRO technology is a lot of for the solution of different scenes, the universal method of prior art is generally based on the handover scheme that A3 inequality triggers, it is modified some parameter to affect the difficulty or ease of switching, and then optimizes network environment by parameter adjustment, improve performance of handoffs. Wherein parameter adjustment mostly is adjustment minizone deviant (CellIndividualOffset, CIO), duration (TimeToTrigger is triggered, and community lag parameter (Hysteresis TTT), Hyst) etc., different methods of adjustment can produce different effects, and targeted concrete scheme is also different. And in statistics, big multi-scheme for switching too early, switch too late, be switched to wrong cell and pingpang handoff etc. mistake and detect simultaneously, eNB needs to process respectively, and complexity and processing cost are higher, simultaneously also can with processing the timeliness problem such as not in time. Wherein in error statistics and processing, coexist due to multiple mistake and need to process different parameter adjustments respectively, so complexity is relatively big, being unfavorable for the actual realization of scheme.
Summary of the invention
It is an object of the invention to the shortcoming overcoming above-mentioned prior art, it is provided that the mobile robustness optimization method based on switching statistics of a kind of easy realization, the method is easily achieved the optimization to mobile robustness, and process is simple, processing cost is low in optimization simultaneously.
For reaching above-mentioned purpose, the mobile robustness optimization method based on switching statistics of easy realization of the present invention comprises the following steps:
1) there is to switch too early, switch too late, be switched to the initial number of times of wrong cell and successful switch in source cell base station counting user terminal in Target cell handoff procedure; and calculate the initial number of times of user terminal successful switch in predetermined period and account for the ratio of total switching times; when described ratio is less than preset ratio, then optimize the Hyst in source cell base station or corresponding CIO;
2) when optimizing the Hyst in 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 cell2, ideal goal community is cell3; then it is switched to the handoff procedure of wrong cell for switch to cell2 from cell1; and switch to cell3 from cell2; set and user terminal is switched to cell2 from cell1 is denoted as and once switches too early, and user terminal is switched to cell3 from cell1 is denoted as and once switches too late;
3) there is switching too early and the final number of times switched too late in counting user terminal again in predetermined period; when the final number of times switched too early occurring more than or equal to when there is the final number of times switched too late, then adopting the Hyst in the optimization method optimization source cell base station of switching too early or corresponding CIO; When the final number of times occurring the final number of times of switching too early to switch too late less than generation, then adopt the optimization method switched too late to optimize the Hyst in source cell base station or corresponding CIO, then again Hyst and CIO after optimization is reset in source cell base station.
The optimization method of described too early switching comprises the following steps:
1) when the community that switching too early occurs accounts for the ratio of all neighbor cells more than or equal to 1/2; then the Hyst in source cell base station is increased one step larger, wherein the Hyst in source cell base station increase one step larger after default maximum threshold values less than or equal to Hyst; When the community that too early switching occurs accounts for the ratio of all neighbor cells less than 1/2 or when the Hyst in source cell base station increase one step larger after default maximum threshold values more than Hyst time; then the CIO in the community correspondence source cell base station that switching too early occurs is reduced by a step-length; wherein, the CIO in the community correspondence source cell base station of too early switching is occurred to reduce after a step-length the default minimum threshold values more than or equal to CIO; When the CIO in the community correspondence source cell base station that too early switching occurs reduces after a step-length the default minimum threshold values less than CIO; then keeping occurring the CIO in the community correspondence source cell base station of switching too early constant, all of which occurs the CIO in the community correspondence source cell base station of switching too early to have at least a default minimum threshold values more than or equal to CIO after reducing by a step-length;
2) when the CIO in the community correspondence source cell base station that all generations switch too early reduces the default minimum threshold values being respectively less than CIO after a step-length; then the default minimum threshold values of CIO in source cell base station is reduced by a step-length; then the CIO in the community correspondence source cell base station all generations switched too early more all reduces by a step-length, and wherein in source cell base station, the default minimum threshold values of CIO belongs to the default fluctuation range of the default minimum threshold values of CIO after reducing by a step-length; When in source cell base station, the default minimum threshold values of CIO is not belonging to the default fluctuation range of default minimum threshold values of CIO after reducing by a step-length, then the Hyst in source cell base station and corresponding CIO is not optimized, and the data of this periodic recording are counted next cycle.
The described optimization method switched too late comprises the following steps:
1) when occurring the community switched too late to account for the ratio of all neighbor cells more than or equal to 1/2; then the Hyst in source cell base station being reduced a step-length, wherein the Hyst in source cell base station reduces the default minimum threshold values after a step-length more than or equal to Hyst; When Hyst when occurring the community that switches too late to account for the ratio of all neighbor cells less than 1/2 or in source cell base station reduces the default minimum threshold values after a step-length less than Hyst; then the CIO in the community correspondence source cell base station switched too late will be occurred to increase one step larger; wherein, occur the CIO in the community correspondence source cell base station that switches too late increase one step larger after default maximum threshold values less than or equal to CIO; When occur the CIO in the community correspondence source cell base station that switches too late increase one step larger after default maximum threshold values more than CIO time; then keeping the CIO in the community correspondence source cell base station occurring to switch too late constant, all of which has at least a default maximum threshold values less than or equal to CIO after occurring the CIO increasing in the community correspondence source cell base station switched too late one step larger;
2) when being all higher than the default maximum threshold values of CIO after the CIO increasing in the community correspondence source cell base station that all generations switch too late is one step larger; then the CIO in source cell base station is preset maximum threshold values and increases a step-length; then the CIO in the community correspondence source cell base station all generations switched too late more all increases one step larger, and wherein in source cell base station, the default maximum threshold values of CIO belongs to the default fluctuation range of the default maximum threshold values of CIO after increasing a step-length; When in source cell base station, the default maximum threshold values of CIO is not belonging to the default fluctuation range of default maximum threshold values of CIO after increasing a step-length, then the Hyst in source cell base station and corresponding CIO is not optimized, and the data of this periodic recording are counted next cycle.
The method have the advantages that
In Target cell handoff procedure, switching too early is there is in the mobile robustness optimization method based on switching statistics of easy realization of the present invention by source cell base station counting user terminal, switch too late, it is switched to the number of times of wrong cell and successful switch, and according to switching too early occurs, switch too late, the number of times being switched to wrong cell and successful switch optimizes the Hyst in source cell base station or corresponding CIO, in the process optimized, wrong cell will be switched to be denoted as once switching too early and once switch too late, thus effectively reducing the complexity of source cell base station mobile robustness optimization, reduce the cost of mobile robustness optimization simultaneously, thus being conducive to the realization of technical process, and then can effectively improve the success rate in user terminal handoff procedure.
Accompanying drawing explanation
Fig. 1 is principles of the invention figure;
Fig. 2 is the flow chart of the optimization method of switching too early in the present invention;
Fig. 3 is the flow chart of the optimization method switched too late in the present invention;
Fig. 4 is the simulation result figure of the present invention;
Fig. 5 is the scattergram of small area of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is described in further detail:
With reference to Fig. 1, Fig. 2 and Fig. 3, source cell base station counting user terminal switching process occurs the number of times switching, switch too late, be switched to wrong cell and successful switch too early comprise the following steps:
1) user terminal is in the moving process of each minizone, judges whether to need execution to be switched to neighbor cell according to A3 inequality, and described A3 inequality is as follows:
Mn-Mp > Hyst-CIOP, n(1)
Wherein, Mn is the signal intensity (can use the Reference Signal Received Power value of user) of adjacent cell n, and Mp is the signal intensity of cell-of-origin p, and Hyst is the lag parameter of this measurement event preset in source cell base station, CIOP, nCell-of-origin p for presetting in source cell base station is its neighbor cell n minizone deviant arranged;
2) when arbitrary community meets A3 inequality; user terminal is then attempted being switched over to several neighbor cells by cell-of-origin; until successful switch to Target cell; then source cell base station obtains the relevant information of this handoff procedure; wherein, Target cell is the community that user terminal needs to be switched to;
3) source cell base station receives the relevant information that sends over of user terminal, and judges the scene that in this handoff procedure, handoff failure occurs, and the scene that described handoff failure occurs includes too early switching, switches and be switched to wrong cell too late.
The mobile robustness optimization method based on switching statistics of easy realization of the present invention, comprises the following steps:
1) there is to switch too early, switch too late, be switched to the initial number of times of wrong cell and successful switch in source cell base station counting user terminal in Target cell handoff procedure; and calculate the initial number of times of user terminal successful switch in predetermined period and account for the ratio of total switching times; when described ratio is less than preset ratio, then optimize the Hyst in source cell base station or corresponding CIO;
2) when optimizing the Hyst in 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 cell2, ideal goal community is cell3; then it is switched to the handoff procedure of wrong cell for switch to cell2 from cell1; and switch to cell3 from cell2; set and user terminal is switched to cell2 from cell1 is denoted as and once switches too early, and user terminal is switched to cell3 from cell1 is denoted as and once switches too late;
3) there is switching too early and the final number of times switched too late in counting user terminal again in predetermined period; when the final number of times switched too early occurring more than or equal to when there is the final number of times switched too late, then adopting the Hyst in the optimization method optimization source cell base station of switching too early or corresponding CIO; When the final number of times occurring the final number of times of switching too early to switch too late less than generation, then adopt the optimization method switched too late to optimize the Hyst in source cell base station or corresponding CIO, then again Hyst and CIO after optimization is reset in source cell base station.
The optimization method of described too early switching comprises the following steps:
1) when the community that switching too early occurs accounts for the ratio of all neighbor cells more than or equal to 1/2; then the Hyst in source cell base station is increased one step larger, wherein the Hyst in source cell base station increase one step larger after default maximum threshold values less than or equal to Hyst; When the community that too early switching occurs accounts for the ratio of all neighbor cells less than 1/2 or when the Hyst in source cell base station increase one step larger after default maximum threshold values more than Hyst time; then the CIO in the community correspondence source cell base station that switching too early occurs is reduced by a step-length; wherein, the CIO in the community correspondence source cell base station of too early switching is occurred to reduce after a step-length the default minimum threshold values more than or equal to CIO; When the CIO in the community correspondence source cell base station that too early switching occurs reduces after a step-length the default minimum threshold values less than CIO; then keeping occurring the CIO in the community correspondence source cell base station of switching too early constant, all of which occurs the CIO in the community correspondence source cell base station of switching too early to have at least a default minimum threshold values more than or equal to CIO after reducing by a step-length;
2) when the CIO in the community correspondence source cell base station that all generations switch too early reduces the default minimum threshold values being respectively less than CIO after a step-length; then the default minimum threshold values of CIO in source cell base station is reduced by a step-length; then the CIO in the community correspondence source cell base station all generations switched too early more all reduces by a step-length, and wherein in source cell base station, the default minimum threshold values of CIO belongs to the default fluctuation range of the default minimum threshold values of CIO after reducing by a step-length; When in source cell base station, the default minimum threshold values of CIO is not belonging to the default fluctuation range of default minimum threshold values of CIO after reducing by a step-length, then the Hyst in source cell base station and corresponding CIO is not optimized, and the data of this periodic recording are counted next cycle.
The described optimization method switched too late comprises the following steps:
1) when occurring the community switched too late to account for the ratio of all neighbor cells more than or equal to 1/2; then the Hyst in source cell base station being reduced a step-length, wherein the Hyst in source cell base station reduces the default minimum threshold values after a step-length more than or equal to Hyst; When Hyst when occurring the community that switches too late to account for the ratio of all neighbor cells less than 1/2 or in source cell base station reduces the default minimum threshold values after a step-length less than Hyst; then the CIO in the community correspondence source cell base station switched too late will be occurred to increase one step larger; wherein, occur the CIO in the community correspondence source cell base station that switches too late increase one step larger after default maximum threshold values less than or equal to CIO; When occur the CIO in the community correspondence source cell base station that switches too late increase one step larger after default maximum threshold values more than CIO time; then keeping the CIO in the community correspondence source cell base station occurring to switch too late constant, all of which has at least a default maximum threshold values less than or equal to CIO after occurring the CIO increasing in the community correspondence source cell base station switched too late one step larger;
2) when being all higher than the default maximum threshold values of CIO after the CIO increasing in the community correspondence source cell base station that all generations switch too late is one step larger; then the CIO in source cell base station is preset maximum threshold values and increases a step-length; then the CIO in the community correspondence source cell base station all generations switched too late more all increases one step larger, and wherein in source cell base station, the default maximum threshold values of CIO belongs to the default fluctuation range of the default maximum threshold values of CIO after increasing a step-length; When in source cell base station, the default maximum threshold values of CIO is not belonging to the default fluctuation range of default maximum threshold values of CIO after increasing a step-length, then the Hyst in source cell base station and corresponding CIO is not optimized, and the data of this periodic recording are counted next cycle.
With reference to Fig. 4 and Fig. 5, by carrying out analog simulation on emulation platform, according to result, algorithm achieves good effect, simulating scenes is 19 communities, every center of housing estate has a base station, not subdivide sector in community, adopt system level network analogue simulation multi-user communication behavior in the cell, generate including to customer service, mobility model, channel model, the simulation of co-channel interference etc. radio communication basic link and assessment, each community user is 10, consider the boundary effect of community, statistic processes is only added up the situation of community, center 7, analog simulation duration can be configured as required, here 2 hours it are set to, the result once emulated is as shown in Figure 4.
Result according to Fig. 4 can be seen that, in parameter, (initial value: Hyst=0dB is set, CIO=5dB, adjustable, all have good result) unreasonable time, the present invention can effectively improve handover success rate, simultaneously when handover success rate is less than preset value, it is possible to realized the optimization of system switching by parameter adjustment.

Claims (1)

1. the mobile robustness optimization method based on switching statistics of an easy realization, it is characterised in that comprise the following steps:
1) there is to switch too early, switch too late, be switched to the initial number of times of wrong cell and successful switch in source cell base station counting user terminal in Target cell handoff procedure, and calculate the initial number of times of user terminal successful switch in predetermined period and account for the ratio of total switching times, when described ratio is less than preset ratio, then optimize the Hyst in source cell base station or corresponding CIO;
2), when optimizing the Hyst in source cell base station or corresponding CIO, user terminal is switched to the process of wrong cell from cell-of-origin;
3) there is switching too early and the final number of times switched too late in counting user terminal again in predetermined period, when the final number of times switched too early occurring more than or equal to when there is the final number of times switched too late, then adopting the Hyst in the optimization method optimization source cell base station of switching too early and corresponding CIO; When the final number of times occurring the final number of times of switching too early to switch too late less than generation, then adopt the optimization method switched too late to optimize the Hyst in source cell base station and corresponding CIO, then again Hyst and CIO after optimization is reset in source cell base station;
Wherein, if cell-of-origin is cell1, false target community be cell2, ideal goal community is cell3, then it is switched to the handoff procedure of wrong cell for switch to cell2 from cell1, and switch to cell3 from cell2, set and user terminal is switched to cell2 from cell1 is denoted as and once switches too early, and user terminal is switched to cell2 from cell1, and switch to cell3 from cell2, it is denoted as and once switches too late;
The optimization method of described too early switching comprises the following steps:
A1) when the community that switching too early occurs accounts for the ratio of all neighbor cells that too early switching cell occurs more than or equal to 1/2, then the Hyst in source cell base station is increased one step larger, wherein the Hyst in source cell base station increase one step larger after default maximum threshold values less than or equal to Hyst; When the community that too early switching occurs accounts for the ratio of all neighbor cells that too early switching cell occurs less than 1/2 or when the Hyst in source cell base station increase one step larger after default maximum threshold values more than Hyst time, then the CIO in the community correspondence source cell base station that switching too early occurs is reduced by a step-length, wherein, the CIO in the community correspondence source cell base station of too early switching is occurred to reduce after a step-length the default minimum threshold values more than or equal to CIO;When the CIO in the community correspondence source cell base station that too early switching occurs reduces after a step-length the default minimum threshold values less than CIO, then keeping occurring the CIO in the community correspondence source cell base station of switching too early constant, all of which occurs the CIO in the community correspondence source cell base station of switching too early to have at least the default minimum threshold values more than or equal to CIO of the CIO in a community correspondence source cell base station that switching too early occurs after reducing by a step-length;
A2) when the CIO in the community correspondence source cell base station that all generations switch too early reduces the default minimum threshold values being respectively less than CIO after a step-length, then the default minimum threshold values of CIO in source cell base station is reduced by a step-length, then the CIO in the community correspondence source cell base station all generations switched too early more all reduces by a step-length, and wherein in source cell base station, the default minimum threshold values of CIO belongs to the default fluctuation range of the default minimum threshold values of CIO after reducing by a step-length; When in source cell base station, the default minimum threshold values of CIO is not belonging to the default fluctuation range of default minimum threshold values of CIO after reducing by a step-length, then the Hyst in source cell base station and corresponding CIO is not optimized, and the data of this periodic recording are counted next cycle;
The described optimization method switched too late comprises the following steps:
B1) when occurring the community switched too late to account for the ratio that all neighbor cells of switching cell too late occur more than or equal to 1/2, then the Hyst in source cell base station being reduced a step-length, wherein the Hyst in source cell base station reduces the default minimum threshold values after a step-length more than or equal to Hyst; When Hyst when occurring the community that switches too late to account for the ratio that all neighbor cells of switching cell too late occur less than 1/2 or in source cell base station reduces the default minimum threshold values after a step-length less than Hyst, then the CIO in the community correspondence source cell base station switched too late will be occurred to increase one step larger, wherein, occur the CIO in the community correspondence source cell base station that switches too late increase one step larger after default maximum threshold values less than or equal to CIO; When occur the CIO in the community correspondence source cell base station that switches too late increase one step larger after default maximum threshold values more than CIO time, then keeping the CIO in the community correspondence source cell base station occurring to switch too late constant, all of which has at least the CIO occurred in the community correspondence source cell base station switched the too late default maximum threshold values less than or equal to CIO after occurring the CIO increasing in the community correspondence source cell base station switched too late one step larger;
B2) when being all higher than the default maximum threshold values of CIO after the CIO increasing in the community correspondence source cell base station that all generations switch too late is one step larger, then the CIO in source cell base station is preset maximum threshold values and increases a step-length, then the CIO in the community correspondence source cell base station all generations switched too late more all increases one step larger, and wherein in source cell base station, the default maximum threshold values of CIO belongs to the default fluctuation range of the default maximum threshold values of CIO after increasing a step-length; When in source cell base station, the default maximum threshold values of CIO is not belonging to the default fluctuation range of default maximum threshold values of CIO after increasing a step-length, then the Hyst in source cell base station and corresponding CIO is not optimized, and the data of this periodic recording are counted next cycle.
CN201310416033.XA 2013-09-12 2013-09-12 A kind of mobile robustness optimization method based on switching statistics of easy realization Expired - Fee Related CN103501504B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310416033.XA CN103501504B (en) 2013-09-12 2013-09-12 A kind of mobile robustness optimization method based on switching statistics of easy realization

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310416033.XA CN103501504B (en) 2013-09-12 2013-09-12 A kind of mobile robustness optimization method based on switching statistics of easy realization

Publications (2)

Publication Number Publication Date
CN103501504A CN103501504A (en) 2014-01-08
CN103501504B true CN103501504B (en) 2016-06-08

Family

ID=49866661

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310416033.XA Expired - Fee Related CN103501504B (en) 2013-09-12 2013-09-12 A kind of mobile robustness optimization method based on switching statistics of easy realization

Country Status (1)

Country Link
CN (1) CN103501504B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103796256B (en) * 2014-02-21 2017-03-15 重庆邮电大学 Based on mobile status information and the mobile robustness optimization method and device of adjacent area adjacency
EP3229515B1 (en) * 2014-12-01 2019-11-06 LG Electronics Inc. Method and apparatus for indicating cell splitting pattern
CN107422753B (en) * 2017-07-21 2021-01-01 深圳怡化电脑股份有限公司 Intelligent banknote sorting pressure adjusting system and method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101772055B (en) * 2009-01-05 2012-08-15 中国移动通信集团公司 Adjustment method of cell reselection parameter and device thereof
CN102984763A (en) * 2012-12-13 2013-03-20 北京北方烽火科技有限公司 Method and device for resolving conflict between mobility robustness optimisation and load balancing optimisation
CN102098712B (en) * 2011-03-24 2013-04-24 东南大学 Handoff parameter self-optimization method in mobile communication system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI269551B (en) * 2004-07-02 2006-12-21 Groundhog Technologies Taiwan Method for detecting and reducing ping-pong handover effect of cellular network
US8331936B2 (en) * 2009-04-28 2012-12-11 Telefonaktiebolaget Lm Ericsson (Publ) Automatic handover oscillation control

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101772055B (en) * 2009-01-05 2012-08-15 中国移动通信集团公司 Adjustment method of cell reselection parameter and device thereof
CN102098712B (en) * 2011-03-24 2013-04-24 东南大学 Handoff parameter self-optimization method in mobile communication system
CN102984763A (en) * 2012-12-13 2013-03-20 北京北方烽火科技有限公司 Method and device for resolving conflict between mobility robustness optimisation and load balancing optimisation

Also Published As

Publication number Publication date
CN103501504A (en) 2014-01-08

Similar Documents

Publication Publication Date Title
CN101626590B (en) Method for preventing conflict between moving load balance and moving robustness optimization function
CN106060794B (en) Method for optimizing cell selection in dual SIM dual standby device
CN102638831B (en) Handover parameter optimization method and system
Chaudhuri et al. Self organizing method for handover performance optimization in LTE-advanced network
Gelabert et al. Mobility performance and suitability of macro cell power-off in LTE dense small cell HetNets
US10104595B2 (en) Method of automatically adjusting mobility parameter
EP2293616A1 (en) Changing parameters of a base station in a telecommunications system
WO2016083524A1 (en) Self-organizing network engine for mobility load balancing between wi-fi and cellular networks
CN104322104A (en) Classifying failure reports as either current or stale for mobility robustness optimization adjustments
Viering et al. Mobility robustness optimization beyond Doppler effect and WSS assumption
Yun et al. Dynamic optimization of handover parameters adjustment for conflict avoidance in long term evolution
Mwanje et al. Self-organized handover parameter configuration for LTE
WO2011042414A1 (en) Femtocell base station
CN103501504B (en) A kind of mobile robustness optimization method based on switching statistics of easy realization
US20170055196A1 (en) Apparatus and method for controlling soft handover rate
WO2012045337A1 (en) Handover-related mobility optimization in cellular communication systems
Li et al. Achieving cell outage compensation in radio access network with automatic network management
Wei Mobility robustness optimization based on UE mobility for LTE system
Alonso-Rubio Self-optimization for handover oscillation control in LTE
CN104301937A (en) Mobile load balancing realization method and base station
CN102647737B (en) Method and system for self optimization of wireless parameters
KR20180002968A (en) Apparatus and method for handover parameter optimization
WO2006017983A1 (en) A method of load handover of mobile communication system
US20110189989A1 (en) Method and Apparatus for Cross Mode Mobility Optimization
KR20170074627A (en) Method and Apparatus for Load Balancing using Neighbor Information of Dynamic Multi Level in Mobile Communication Network

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160608

Termination date: 20190912

CF01 Termination of patent right due to non-payment of annual fee