CN101005688A - Optimizing method for distributing small area resource in mobile communication network and its system - Google Patents
Optimizing method for distributing small area resource in mobile communication network and its system Download PDFInfo
- Publication number
- CN101005688A CN101005688A CNA2006100939034A CN200610093903A CN101005688A CN 101005688 A CN101005688 A CN 101005688A CN A2006100939034 A CNA2006100939034 A CN A2006100939034A CN 200610093903 A CN200610093903 A CN 200610093903A CN 101005688 A CN101005688 A CN 101005688A
- Authority
- CN
- China
- Prior art keywords
- resource
- allocated
- distributes
- optimization
- local
- 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.)
- Granted
Links
Images
Abstract
The method comprises: in a defined time length, calculating the probability of success or failure of allocating one appointed cell resource; according to the probability of success or failure of allocating one appointed cell resource, optimizing the allocation of cell resource; wherein, said appointed resource comprises channel code resource, uplink power resource, downlink power resource, NodeB hardware processing resource and Iub interface transmission resource.
Description
Technical field
The present invention relates to moving communicating field, particularly the optimisation technique that local resource distributes in the mobile communications network.
Background technology
At moving communicating field,, the requirement of mobile communication technology is improved constantly and variation, thereby occurred first in succession to 3G (Third Generation) Moblie along with development of human society.The global system for mobile communications that continues (Global System for mobile Communication, be called for short " GSM "), code division multiple access (CodeDivision Multiple Access, be called for short " CDMA ") etc. after second third generation mobile communication network, 3G (Third Generation) Moblie network based on different technologies has appearred in succession, comprise Wideband Code Division Multiple Access (WCDMA) (Wideband Code Division Multiple Access, be called for short " WCDMA "), TD SDMA (Time Division Synchronous Code Division Multiple Access, be called for short " TD-SCDMA ") and CDMA 2000 (Code Division Multiple Access 2000 is called for short " CDMA2000 ") or the like.
3-G (Generation Three mobile communication system) such as WCDMA provides the ability of wireless traffic to be better than second generation mobile communication system such as GSM greatly.Yet raising along with wireless network performance, and the increase of using the number of users of wireless network, the focus that the rare Internet resources of script have become operators to pay close attention to, people begin to consider more under the situation of resource-constrained, allocation of network resources how reasonably, thus the Network Transmission quality guaranteed better.
Rationally distributing Limited resources efficiently is to improve network resource utilization under existing situation, improves the key of communication service quality.Because based on the communication service of heterogeneous networks demand difference for the disparate networks resource, single ground allocation of network resources causes some professional some assigned Internet resources to supply greater than need easily, leave surplus, and the other Internet resources are under-supply, thereby promptly can't guarantee professional communication quality, waste the subnetwork resource again, reduced utilization rate of network resource.
Guarantee communication quality, improve the disparate networks resource utilance, avoid the individual term resource to become the bottleneck of network development, the distribution operating position of all kinds of resources is very necessary in the research network.And want all kinds of resource allocation operating positions in the phase-split network, improve network performance, at first need to summarize Key Performance Indicator (the Key Parameters Indication that influences network performance and user communication quality, be called for short " KPI "), and the measurement point of finding out these KPI, thereby could analyze and carry out targetedly the optimization of Resource Allocation in Networks according to situation about measuring.
In the prior art, usually adopt the method for alarm to carry out network resource optimization, promptly pass through to measure the value (as measuring cell power) of traditional KPI, the local resource distribution condition is carried out real-time monitoring, when measuring the cell power inadequate resource, adopt alarm mode informing network administrative staff to take measures necessary, as improving cell power etc.
Yet alarm method is only applicable to reflect that the situation of unexpected abnormality appears in network, and the amount of information that this method provides is less, and does not have long-time stability, can't carry out long performance evaluation to network.And prior art is carried out performance evaluation according to the KPI with regard to already used second generation communication network before 5 years even 10 years, and there is not to provide for the optimization of third generation communication network effective KPI, measured value according to traditional KPI carries out the method for network resource optimization and not exclusively is applicable to the optimization of new network, thereby can not reach the Resource Allocation in Networks optimization effect of expection.
Except the method for taking monitoring in real time and alarm is carried out the optimization of Resource Allocation in Networks, prior art is also carried out the analysis of network performance by the analysis software that some is positioned at the user test terminal, as adopt Actix etc., the analysis data of some network performances that provide according to analysis software, change existing Resource Allocation in Networks situation, carry out the optimization of Resource Allocation in Networks, improve the utilance of resource.
Yet the local resource distribution is in network side inside because analysis software is positioned at the user test terminal, make analysis software be difficult to obtain relevant data, and the analysis data that one-side judgement draws have certain one-sidedness, thereby can't more reasonably carry out the optimization of Resource Allocation in Networks.
Summary of the invention
In view of this, main purpose of the present invention is to provide optimization method and the system thereof that local resource distributes in a kind of mobile communications network, makes local resource can obtain more rational distribution.
For achieving the above object, the invention provides the optimization method that local resource distributes in a kind of mobile communications network, comprise following steps:
At the appointed time at least one allocated resource of the interior statistics of section sub-district is allocated successfully or failed probability;
According to every described allocated resource of being added up be allocated successfully or failed probability is carried out the optimization that local resource distributes.
Wherein, described allocated resource comprises one of following or its combination in any:
The transfer resource of interface between channel code resource, ascending power resource, downlink power resources, base-station node hardware handles resource and base-station node and the radio network controller.
In this external described method, also comprise following steps:
If described allocated resource comprises downlink power resources, and the distribution failed probability of this downlink power resources is higher than predetermined threshold, and the distribution failed probability of other allocated resources is lower than corresponding predetermined threshold, then realizes the optimization that described local resource distributes by the antenna that increases transmitting power or use high-gain instead.
In this external described method, also comprise following steps:
If the distribution failed probability of every described allocated resource all is higher than corresponding predetermined threshold, then carry out dilatation by planned capacity to described sub-district, realize the optimization that described local resource distributes.
In this external described method, also comprise following steps:
At least one allocated resource of statistics sub-district is allocated successfully or failed probability in the fixed time of different times section, if in the fixed time of specific period section, the distribution failed probability of every described allocated resource of being added up all is higher than corresponding predetermined threshold, then carry out interim dilatation, realize the optimization that described local resource distributes by in the described specific period, increasing small-sized mobile base station.
In this external described method, also comprise following steps:
With every described allocated resource of being added up be allocated successfully or failed probability and other indexs are carried out binding analysis, if described allocated resource comprises the channel code resource, and the packet switched data user number average of the distribution failed probability of this channel code resource and described sub-district is higher than corresponding predetermined threshold, then, realize the optimization that described local resource distributes by introducing high speed downlink packet access technology.
In this external described method, statistics being allocated successfully or failed probability of described allocated resource in the section at the appointed time in the following manner:
For the local resource request number of times is provided with variable, be recorded in the number of times of this local resource request in the described fixed time section;
The refusal number of times that is respectively every described allocated resource is provided with variable, is recorded in the described local resource request process all in the described fixed time section refusal number of times of this allocated resource;
With the refusal number of times of every described allocated resource of record respectively divided by the local resource request number of times that is write down, obtain the distribution failed probability of every described allocated resource, with the 1 distribution failed probability that deducts every described allocated resource, obtain the probability that is allocated successfully of every described allocated resource respectively.
The present invention also provides the optimization system that local resource distributes in a kind of mobile communications network, comprises:
Statistical module is used at the appointed time being allocated successfully or failed probability of at least one allocated resource of statistics sub-district in the section;
Optimal module, be used for every described allocated resource of adding up according to described statistical module be allocated successfully or failed probability is carried out the optimization that local resource distributes.
Wherein, described allocated resource comprises one of following or its combination in any:
The transfer resource of interface between channel code resource, ascending power resource, downlink power resources, base-station node hardware handles resource and base-station node and the radio network controller.
By relatively finding, the main distinction of technical scheme of the present invention and prior art is, at the appointed time at least one allocated resource of the interior statistics of section sub-district is allocated successfully or failed probability, and according to the allocated resource of being added up be allocated successfully or failed probability is carried out the optimization that local resource distributes, make local resource can access more rational distribution.
Wherein, allocated resource comprises the transfer resource of the Iub interface between channel code resource, ascending power resource, downlink power resources, base-station node (NodeB) hardware handles resource and NodeB and the radio network controller, can monitor the distribution condition of local resource more all sidedly, thereby can more reasonably distribute local resource according to monitoring result.
According to being allocated successfully or failed probability of allocated resource, carry out multiple analysis, and optimize accordingly according to analyzing local resource distributed, further reasonable distribution local resource.
In the local resource request process, refuse number of times by recording cell resource request number of times and every allocated resource in the section at the appointed time, obtain being allocated successfully or failed probability of every allocated resource, feasible monitoring result to the local resource distribution condition has certain stability, and, owing to realize simply, make that the present invention program is easy to realize.
Description of drawings
Fig. 1 is the local resource allocation optimized method flow diagram according to first embodiment of the invention;
Fig. 2 is the local resource allocation optimized method flow diagram according to second embodiment of the invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with accompanying drawing.
Core of the present invention is, network side is being allocated successfully or failed probability of at least one allocated resource (comprising the Iub interface transfer resource between channel code resource, up and down power resource, base-station node (NodeB) hardware handles resource and NodeB and the radio network controller) of statistics sub-district in the section at the appointed time, and according to the allocated resource of being added up be allocated successfully or failed probability is carried out the optimization that local resource distributes, make local resource can access more rational distribution.
According to inventive principle the optimization method that the first embodiment of the invention local resource distributes is described below.
As shown in Figure 1, in step 110, network side at the appointed time in the section, is added up the defeated resource (five allocated resources) of channel code resource, ascending power resource, downlink power resources, NodeB hardware handles resource and Iub oral instructions of sub-district respectively and is distributed failed probability.
Specifically, network side is respectively the local resource request number of times and above every allocated resource distributes the number of times of failure that variable is set, number of times with this local resource request in the record fixed time section, the number of times of channel code resource allocation failure, the number of times of ascending power resource allocation failure, downlink power resources is distributed the number of times of failure, the number of times of NodeB hardware handles resource allocation failure, and the number of times of the defeated resource allocation failure of Iub oral instructions, and the number of times that every allocated resource that will write down is distributed failure obtains respective resources and distributes failed probability respectively divided by the local resource request number of times that is write down.The every resource allocation failed probability that obtains by this method can embody the average behavior of network in the certain hour section, make the monitoring result of local resource distribution condition have certain stability, and distribute failed probability owing to add up five allocated resources simultaneously, the distribution condition of local resource can be grasped more all sidedly, local resource can be more stable according to monitoring result, more reasonably distributed after making.
Then enter step 120, network side distributes failed probability to judge according to each allocated resource in the sub-district.The distribution failed probability of other allocated resources is lower than corresponding predetermined threshold if this cell downlink power resource allocation failed probability that counts is higher than predetermined threshold, be eligible 1, the downlink power resources that this sub-district then is described is the current resource bottleneck in sub-district, enter step 130, by increasing transmitting power or using the antenna of high-gain instead, to remedy the base station transmitting power deficiency of this sub-district, realize the optimization that local resource distributes; If the distribution failed probability of every allocated resource all is higher than corresponding predetermined threshold, be eligible 2, the planned capacity that this sub-district then is described enters step 140 less than actual capacity, carry out dilatation by planned capacity, realize the optimization that local resource distributes the sub-district; If the distribution failed probability of channel code resource is higher than corresponding predetermined threshold, and this cell group swap data user's number is higher than corresponding predetermined value, be eligible 3, illustrate that then this sub-district is based on data service, data occupancy at a high speed a large amount of channel code resources, enter step 150, insert (High Speed Downlink Packet Access by introducing high speed downlink packet, be called for short " HSDPA ") technology, solve the problem of channel code deficiency, realize the optimization that local resource distributes.Carry out the analysis of multiple situation by every resource allocation failed probability, optimize accordingly at different situations, thereby more reasonably distributed local resource according to appointment.
Be appreciated that, condition of mentioning in first execution mode 1,2,3 and the optimized Measures of taking in these conditions only are the examples of several practicalities, the present invention is not limited to these several conditions and these several optimized Measures, according to thought of the present invention, the concrete condition in the time of can realizing according to mobile communications network fully adopts other condition and other optimized Measures.
The optimization method and first execution mode that the second embodiment of the invention local resource distributes are roughly the same, its difference only is, first execution mode is more suitable for distributing failed probability to be optimized according to every allocated resource of the local resource of common period, and in the present embodiment, the probability that is allocated successfully of every allocated resource by statistics sub-district in the fixed time of different times section, and according to the result optimizing local resource of being added up, thereby present embodiment is more suitable for the resource optimization that probability that the every allocated resource according to the local resource of busy specific period of business (as festivals or holidays etc.) is allocated successfully carries out the sub-district.
Specifically as shown in Figure 2, in step 210, network side is added up channel code resource, ascending power resource, downlink power resources, NodeB hardware handles resource and the Iub oral instructions of sub-district respectively and is failed the probability that resource (five allocated resources) is allocated successfully in the fixed time of different times section.
Specifically, network side is respectively the number of times that local resource request number of times and above every allocated resource be allocated successfully variable is set, number of times with this local resource request in the record fixed time specific period section, the number of times of channel code resource allocation success, the number of times of ascending power resource allocation success, the number of times that downlink power resources is allocated successfully, the number of times of NodeB hardware handles resource allocation success, and the number of times of the defeated resource allocation success of Iub oral instructions, and the number of times that every allocated resource that will write down is allocated successfully obtains the probability that respective resources is allocated successfully respectively divided by the local resource request number of times that is write down.
Then enter step 220, network side is judged according to the probability that each allocated resource in the sub-district is allocated successfully.If by statistics, this cell downlink power resource allocation probability of successful always is higher than predetermined threshold in the fixed time of different times section, and the probability that is allocated successfully of other allocated resources is lower than corresponding predetermined threshold, then enter step 230, realize the optimization that local resource distributes by the antenna that increases transmitting power or use high-gain instead; If in each time period of being added up, only the probability that is allocated successfully of every allocated resource all is higher than corresponding predetermined threshold in certain specific time period, then enter step 240, carry out interim dilatation by in this specific period, increasing small-sized mobile base station, realize the optimization that local resource distributes, thereby when guaranteeing the specific period network quality, avoided resource is vacant in the common period; If the probability that is allocated successfully of channel code resource is higher than corresponding predetermined threshold, and the packet switched data number of users of this sub-district is higher than corresponding predetermined value, then enters step 250, by introducing the HSDPA technology, realizes the optimization that local resource distributes.
Third embodiment of the invention is the optimization system that a local resource distributes, wherein comprise: the allocated resource that is used at the appointed time statistics sub-district in the section is allocated successfully or the statistical module of failed probability and be used for being allocated successfully or failed probability is carried out the optimal module of local resource allocation optimized according to the allocated resource of being added up.
Specifically, network side is being allocated successfully or failed probability by or multinomial resource in the transfer resource of channel code resource, ascending power resource, downlink power resources, NodeB hardware handles resource and Iub mouth in the statistical module counts sub-district in the section at the appointed time, and the result that will add up passes to optimal module, add up according to statistical module by optimal module one or multinomial allocated resource be allocated successfully or failed probability is carried out the optimization that local resource distributes.
Though pass through with reference to some of the preferred embodiment of the invention, the present invention is illustrated and describes, but those of ordinary skill in the art should be understood that and can do various changes to it in the form and details, and without departing from the spirit and scope of the present invention.
Claims (9)
1. the optimization method that local resource distributes in the mobile communications network is characterized in that, comprises following steps:
At the appointed time at least one allocated resource of the interior statistics of section sub-district is allocated successfully or failed probability;
According to every described allocated resource of being added up be allocated successfully or failed probability is carried out the optimization that local resource distributes.
2. the optimization method that local resource distributes in the mobile communications network according to claim 1 is characterized in that, described allocated resource comprises one of following or its combination in any:
The transfer resource of interface between channel code resource, ascending power resource, downlink power resources, base-station node hardware handles resource and base-station node and the radio network controller.
3. the optimization method that local resource distributes in the mobile communications network according to claim 1 is characterized in that, also comprises following steps:
If described allocated resource comprises downlink power resources, and the distribution failed probability of this downlink power resources is higher than predetermined threshold, and the distribution failed probability of other allocated resources is lower than corresponding predetermined threshold, then realizes the optimization that described local resource distributes by the antenna that increases transmitting power or use high-gain instead.
4. the optimization method that local resource distributes in the mobile communications network according to claim 1 is characterized in that, also comprises following steps:
If the distribution failed probability of every described allocated resource all is higher than corresponding predetermined threshold, then carry out dilatation by planned capacity to described sub-district, realize the optimization that described local resource distributes.
5. the optimization method that local resource distributes in the mobile communications network according to claim 1 is characterized in that, also comprises following steps:
At least one allocated resource of statistics sub-district is allocated successfully or failed probability in the fixed time of different times section, if in the fixed time of specific period section, the distribution failed probability of every described allocated resource of being added up all is higher than corresponding predetermined threshold, then carry out interim dilatation, realize the optimization that described local resource distributes by in the described specific period, increasing small-sized mobile base station.
6. the optimization method that local resource distributes in the mobile communications network according to claim 1 is characterized in that, also comprises following steps:
With every described allocated resource of being added up be allocated successfully or failed probability and other indexs are carried out binding analysis, if described allocated resource comprises the channel code resource, and the packet switched data user number average of the distribution failed probability of this channel code resource and described sub-district is higher than corresponding predetermined threshold, then, realize the optimization that described local resource distributes by introducing high speed downlink packet access technology.
7. the optimization method that distributes according to local resource in each described mobile communications network in the claim 1 to 6 is characterized in that, in the following manner being allocated successfully or failed probability of the described allocated resource of statistics in the section at the appointed time:
For the local resource request number of times is provided with variable, be recorded in the number of times of this local resource request in the described fixed time section;
The refusal number of times that is respectively every described allocated resource is provided with variable, is recorded in the described local resource request process all in the described fixed time section refusal number of times of this allocated resource;
With the refusal number of times of every described allocated resource of record respectively divided by the local resource request number of times that is write down, obtain the distribution failed probability of every described allocated resource, with the 1 distribution failed probability that deducts every described allocated resource, obtain the probability that is allocated successfully of every described allocated resource respectively.
8. the optimization system that local resource distributes in the mobile communications network is characterized in that, comprises:
Statistical module is used at the appointed time being allocated successfully or failed probability of at least one allocated resource of statistics sub-district in the section;
Optimal module, be used for every described allocated resource of adding up according to described statistical module be allocated successfully or failed probability is carried out the optimization that local resource distributes.
9. the optimization system that local resource distributes in the mobile communications network according to claim 8 is characterized in that, described allocated resource comprises one of following or its combination in any:
The transfer resource of interface between channel code resource, ascending power resource, downlink power resources, base-station node hardware handles resource and base-station node and the radio network controller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2006100939034A CN100536593C (en) | 2006-06-23 | 2006-06-23 | Optimizing method for distributing small area resource in mobile communication network and its system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2006100939034A CN100536593C (en) | 2006-06-23 | 2006-06-23 | Optimizing method for distributing small area resource in mobile communication network and its system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101005688A true CN101005688A (en) | 2007-07-25 |
| CN100536593C CN100536593C (en) | 2009-09-02 |
Family
ID=38704491
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2006100939034A Expired - Fee Related CN100536593C (en) | 2006-06-23 | 2006-06-23 | Optimizing method for distributing small area resource in mobile communication network and its system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100536593C (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103686786A (en) * | 2012-09-25 | 2014-03-26 | 中国电信股份有限公司 | Method for dynamically adjusting CE resources of base station and database analysis server |
| WO2017012654A1 (en) * | 2015-07-21 | 2017-01-26 | Telefonaktiebolaget Lm Ericsson (Publ) | Predictive procedure handling |
| CN108260081A (en) * | 2016-12-27 | 2018-07-06 | 纳恩博（北京）科技有限公司 | Network capacity extension methods, devices and systems |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5956643A (en) * | 1994-01-13 | 1999-09-21 | Lucent Technologies Inc. | Apparatus and method for adaptive dynamic channel assignment in wireless communication networks |
| EP1398975A1 (en) * | 2002-09-04 | 2004-03-17 | Alcatel | Method for maintaining a radio network having elements coming from more than one supplier, and components therefor |
| CN1266955C (en) * | 2003-06-10 | 2006-07-26 | 大唐移动通信设备有限公司 | Method for wireless link deterioration detection and deterioration processing of TD-SCDMA system |
| CN100417265C (en) * | 2004-08-10 | 2008-09-03 | 中兴通讯股份有限公司 | Short message service quality evaluation and optimization method in personal portable telephone system |
-
2006
- 2006-06-23 CN CNB2006100939034A patent/CN100536593C/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103686786A (en) * | 2012-09-25 | 2014-03-26 | 中国电信股份有限公司 | Method for dynamically adjusting CE resources of base station and database analysis server |
| CN103686786B (en) * | 2012-09-25 | 2017-07-18 | 中国电信股份有限公司 | The method and database Analysis server of dynamic adjustment base station CE resources |
| WO2017012654A1 (en) * | 2015-07-21 | 2017-01-26 | Telefonaktiebolaget Lm Ericsson (Publ) | Predictive procedure handling |
| CN108260081A (en) * | 2016-12-27 | 2018-07-06 | 纳恩博（北京）科技有限公司 | Network capacity extension methods, devices and systems |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100536593C (en) | 2009-09-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102711184B (en) | Flow-splitting system of heterogeneous wireless network | |
| US8600347B2 (en) | Idle mode notification | |
| US20100015926A1 (en) | System and methods to monitor and analyze events on wireless devices to predict wireless network resource usage | |
| CN102369768B (en) | Method for managing base station energy-saving and system thereof, method for saving base station energy and device thereof | |
| CN101466124A (en) | Control method and system for network bandwidth | |
| US20090111382A1 (en) | Methods for scheduling collection of key performance indicators from elements in a communications network | |
| WO2016086406A1 (en) | Network resource deployment method and device | |
| CN103959850A (en) | Measurements for the interworking of wireless wide area and wireless local area networks | |
| CN105636056A (en) | Spectrum resource self-optimization energy-saving method, apparatus and system | |
| CN106465085A (en) | Band usage information generating and reporting method, charging method, enodeb, and mme | |
| CN106714223B (en) | Method and device for establishing base station energy consumption model | |
| CN103188715B (en) | The method of Radio Resource automatic monitoring scheduling and device | |
| Soldani | Means and methods for collecting and analyzing QoE measurements in wireless networks | |
| CN105392149A (en) | Strategy adjusting trigger and strategy adjusting method and device, and strategy adjusting system | |
| CN102026234A (en) | Statistical analysis method for GSM network calling/called loss | |
| CN100536593C (en) | Optimizing method for distributing small area resource in mobile communication network and its system | |
| CN105228192B (en) | Cell configuring method and device | |
| CN100566438C (en) | A kind of cell ability judging method, system and radio network controller | |
| Gupta et al. | Reliability and survivability analysis of long-term evolution vehicular ad-hoc networks: an analytical approach | |
| CN101662726B (en) | Method, network element and system for counting viewer number of multimedia broadcast multicast service | |
| CN100353795C (en) | Public measuring method of wireless resource management | |
| CN101170751B (en) | A processing method, device and system for cluster system performance parameters | |
| CN103200585B (en) | Signaling traffic subsystem, extension counter treatment system and method | |
| WO2012001772A1 (en) | Control device and method, and node device | |
| Pérez-Romero et al. | Optimization of multitenant radio admission control through a semi-Markov decision process |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20090902 Termination date: 20210623 |