CN115209432A

CN115209432A - Method for positioning and self-healing cell base station signal access fault

Info

Publication number: CN115209432A
Application number: CN202210787521.0A
Authority: CN
Inventors: 朱文进
Original assignee: China Telecom Digital Intelligence Technology Co Ltd
Current assignee: China Telecom Digital Intelligence Technology Co Ltd
Priority date: 2022-07-06
Filing date: 2022-07-06
Publication date: 2022-10-18
Anticipated expiration: 2042-07-06
Also published as: CN115209432B

Abstract

The invention discloses a method for positioning and self-healing a signal access fault of a cell base station, which comprises the steps of performing numerical comprehensive analysis on three stages of telephone traffic system access, random access and NAS processes which are possibly faulted, determining whether the signal access fails, classifying and analyzing wireless signal access failure data recorded by a log of a historical gNB base station, generating a signal access fault self-healing table according to the classification and analysis results and presetting a self-healing program; step two, building a self-healing model based on a Bayesian formula and calculating self-healing probability of each type of fault in a fault self-healing table; and step three, when the user equipment UE has a fault when being in signal access with the cell base station, the fault self-healing table corresponds to the self-healing probability, and a fault solution is selected according to the self-healing probability. The method highlights the early warning position of artificial intelligence on the wireless signal access problem, and solves the problem by adopting the analysis and prediction of the artificial intelligence, predicting the wireless signal fault in advance through the occurrence probability and executing a preset optimization program.

Description

Method for positioning and self-healing signal access fault of cell base station

Technical Field

The invention belongs to the technical field of network communication, and particularly relates to a method for positioning and self-healing a signal access fault of a cell base station.

Background

The 5G technology is developed to support the 4G terminal, the advanced use of 5G is realized, and operators who promote the research and practice of the 4G-to-5G transition scheme have pioneering advantages. Firstly, innovative research of realizing 4G and 5G interoperation based on application perception is developed in 3GPP, the technical advantages of 5G are fully exerted, the existing 4G investment is reasonably utilized, and the cooperation of a 4G network and a 5G network is realized through a core network interoperation scheme.

With the increasing influence of 5G wireless signals on the signal quality ratio in cell signal access, the network optimization process in the existing optimization scheme gradually cannot meet the quality of a large number of signals in a cell during a peak period. The method mainly embodies that in the wireless performance access optimization process, each flow step is processed after specific steps of problems are positioned through system automatic investigation, and the method is lack of effectiveness.

Disclosure of Invention

The technical problem to be solved by the present invention is to provide a method for locating and self-healing the signal access failure of the cell base station, which highlights the early warning status of artificial intelligence on the wireless signal access problem, and solves the problem by adopting the analysis and prediction of artificial intelligence, predicting the wireless signal failure in advance through the occurrence probability and executing the preset optimization program.

In order to achieve the technical purpose, the technical scheme adopted by the invention is as follows:

a method for positioning and self-healing a signal access fault of a cell base station comprises the following steps:

step one, performing number comprehensive analysis on three stages of telephone traffic system access, random access and NAS processes which are possibly in fault, determining whether signal access fails, classifying and analyzing wireless signal access failure data recorded by logs of a historical gNB base station, generating a signal access fault self-healing table according to classification and analysis results, and presetting a self-healing program;

step two, building a self-healing model based on a Bayesian formula and calculating self-healing probability of each type of fault in a fault self-healing table;

and step three, when the user equipment UE has a fault when being in signal access with the cell base station, the fault self-healing table corresponds to the self-healing probability, and a fault solution is selected according to the self-healing probability.

In order to optimize the technical scheme, the specific measures adopted further comprise:

the first step comprises:

s1, comprehensively analyzing the three stages of the service system access state, the random access and the NAS process, and determining whether the signal access fails, wherein the steps comprise:

1) Telephone traffic system access: accessing a telephone traffic system database to obtain an access success or failure state identifier;

2) Random access: if repeated retransmission exists and the index is distorted in the signal access process, terminating the triggering of the fault self-healing program;

3) NAS process: accessing a core network log to track whether the accessed wireless signal completes the cell attachment process, and if not, the wireless signal access fails;

and S2, classifying and analyzing the wireless signal access failure data recorded by the log of the historical gNB base station, generating a signal access failure self-healing table through three types of data of RRC establishment failure, authentication encryption failure and E-RAB establishment failure recorded by the log of the historical gNB base station, and presetting a self-healing program.

The above S2 the signal access fault self-healing table includes: the method comprises the following steps of (1) accessing a failure primary type, accessing failure secondary classification, a fault automatic solution ratio P (B), probability of occurrence after fault self-healing, fault self-healing probability and fault proportion formula description of a current type;

the access failure primary type comprises three types of data of RRC establishment failure, authentication encryption failure and E-RAB establishment failure.

The above RRC establishment failures are classified into the following six access failure secondary classifications:

1. failure of resource allocation results in failure rate of RRC connection establishment

The RRC connection establishment failure rate = data with insufficient cell resources/total number of all RRC establishment failures due to a resource allocation failure;

2. RRC connection establishment failure rate caused by UE non-response

UE unresponsive causes RRC connection establishment failure rate = number of UE unresponsive pieces/total number of all RRC establishment failures;

3. RRC connection establishment failure rate caused by cell sending RRCRreject

The RRC connection establishment failure rate caused by sending RRCRreject = the number of RRC connection establishment failures caused by sending RRCRreject/the total number of all RRC establishment failures;

4. RRC connection establishment failure rate caused by SRS resource allocation failure

The RRC connection establishment failure rate = the number of failures in SRS resource allocation/the total number of all RRC establishment failures caused by the failures in SRS resource allocation;

5. RRC connection establishment failure rate caused by PUCCH resource allocation failure

The RRC connection establishment failure rate caused by PUCCH resource allocation failure = the number of RRC connection establishment failures caused by PUCCH resource allocation failure/the total number of all RRC establishment failures;

6. RRC connection establishment failure rate caused by flow control-caused RRCReject and RRCSetuprequest message discarding parameter configuration errors

The flow control-caused RRCRreject and RRCSetuprequest message discard parameter configuration errors-caused RRC connection establishment failure rate = the number of configuration errors/the total number of all RRC establishment failures;

the authentication encryption failure is divided into two secondary categories of access failure as follows:

1. MAC failure rate

MAC failure rate = number of MAC failures/total number of RRC setup failures;

2. rate of synchronization failures

Synchronization failure rate = number of synchronization failures/total number of RRC setup failures

The above E-RAB establishment failures are classified into the following four secondary categories of access failures:

1. capacity problem-failure rate of E-RAB establishment due to failure of UE response

Capacity issue-failure rate of E-RAB setup due to not received UE response = number of not received UE responses/total number of RRC setup failures total

2. Core network problem-resulting E-RAB establishment failure rate

Core network problem-cause E-RAB establishment failure rate = number of core network problems/total number of RRC establishment failures

3. Transmission problems-resulting in E-RAB establishment failure rates

Transmission problem-cause E-RAB establishment failure rate = number of transmission problems/total number of RRC establishment failures

4. Radio resource starvation-resulting in E-RAB establishment failure rate

Radio resources are insufficient-resulting in E-RAB setup failure rate = number of transmission problems/total number of RRC setup failures.

The self-healing model in the second step is as follows:

p (A): the program automatically solves the probability of the fault occurring every day;

p (B): the duty ratio automatically solved by the program after the current type fault occurs:

the number of current type automatic fault resolution/total number of automatic fault resolution;

p (A | B): after the fault is automatically solved, the probability that the fault of the type still occurs is P (A | B) = 1-the number of automatically solved faults of the current type/the number of still occurred faults of the current type;

p (B | A): and the probability of self-healing of the fault when the current type fault occurs every day, namely the probability of self-healing of each type of fault in the fault self-healing table.

In the third step, when the user terminal UE fails during signal access in the cell base station, the self-healing probability is corresponded by the fault self-healing table:

probability > =80: directly triggering a preset self-healing program corresponding to the fault;

if the probability is more than 80% and the probability is more than 50%, prompting the maintenance personnel in the form of mails and short messages to confirm whether to execute the self-healing program;

and if the probability is less than 50%, the online debugging or the on-site inspection is still carried out by maintenance personnel through a gNB base station 5G network management alarm platform.

The invention has the following beneficial effects:

the early warning status of the 5G cell switching process is optimized through artificial intelligence, and the terminal needing to switch the cell can be switched into the target cell as soon as possible and can recover communication as soon as possible through artificial intelligence analysis and prediction, so that the switching interruption time is shortened, and the use experience of a user is improved.

Drawings

FIG. 1 is a flow chart of the method of the present invention;

fig. 2 is a flow of analysis of a 5G wireless signal access problem.

Detailed Description

Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.

Referring to fig. 1-2, the present invention provides a method for locating and self-healing a cell base station signal access failure, comprising:

firstly, when signal access fails, data analysis is carried out corresponding to three stages of telephone traffic system access success rate, random access and NAS (network attached storage) processes which are possibly in fault. Analyzing data sources respectively corresponding to the telephone traffic system database data, the gNB base station log and the core network log; comprehensively analyzing and determining whether the signal access fails; and classifying and analyzing the wireless signal access failure data recorded by the log of the historical gNB base station. And (4) accessing the analysis result generated signal into a fault self-healing table and presetting a solving program corresponding to self-healing.

S1, comprehensively analyzing the service system access success rate, the random access and the NAS process, and determining whether the signal access fails:

1) The telephone traffic system access state: and accessing a telephone traffic system database to obtain the identifier of the successful or failed access state.

2) Random access: if repeated retransmission exists and the index is distorted in the signal access process, the triggering of the fault self-healing program is terminated.

The 5G current random access success rate is counted from RRCSetuprequest. The RRC mainly functions to control or configure all radio resources to its lower layers (PHY, MAC, RLC, PDCP) so that communication can be performed between the UE and the base station (e.g., gNB, eNB, NB, BTS, etc.).

3) NAS process: the method is mainly related to a core network, and a plurality of scenes gNB do not sense and count the access success rate of the wireless side. And accessing a core network log to track whether the accessed wireless signal completes the cell attachment process. If not, the wireless signal access fails.

NAS process flow description: when the UE is just started, the system information is read first, and after a proper cell is selected to reside, the attachment process is carried out. The reason for the RRC establishment request is mo-Signalling. RRC connection establishment → identity authentication → security encryption → UE capability authentication → attachment success;

and S2, classifying and analyzing the wireless signal access failure data recorded by the log of the historical gNB base station. The 5G signal access failure is divided into three categories according to the flow analysis of the figure 1, and a fault self-healing table is generated by three categories of data (RRC establishment failure, authentication encryption failure and E-RAB establishment failure) recorded by the log of the historical gNB base station

The first category, RRC establishment failure, is divided into six secondary categories:

And performing auxiliary positioning according to the log (cell resource, abnormal access terminal, maximum connection number, maximum activated user number and PRB utilization rate) stored in the gNB base station.

Correspondingly presetting a self-healing program: and when the cell resources are insufficient, performing digital fine adjustment on the cell resources, the maximum connection number and the maximum activated user number by accessing the configuration file of the gNB through program execution.

Cell resource deficiency failure rate = cell resource deficiency data/total RRC setup failure count

2. RRC connection establishment failure rate caused by UE non-response

And performing auxiliary positioning according to the log (whether the MR and PRB interference level statistics has poor quality, interference, weak coverage and the like or auxiliary analysis is performed by combining signaling tracking) stored in the gNB base station.

UE no answer self-healing procedure: the problem that the UE with level faults has no response is solved by adjusting the minimum RxLevel parameter lowest receiving level through a 5G network management API for accessing the gNB by program execution.

UE no-answer failure rate = number of UE no-answer pieces/total RRC setup failure count

3. RRC connection establishment failure rate caused by cell sending RRCRreject

According to the log stored in the gNB base station (whether the network is congested or not, and whether the related parameters of the traffic flow control are correct or not).

RRCReject fault self-healing program: after the 5G network management API accessing the gNB through program execution obtains network congestion warning information, network configuration parameters are adjusted through a self-healing program according to slight warning severity and more severe warning, and program execution informs maintenance personnel if the warning severity and the emergency are serious.

RRC connection setup failure rate due to sending RRCReject = number of RRC connection setup failures due to sending RRCReject/total number of RRC setup failures

According to the log (SRS bandwidth, configuration indication and configuration mode are reasonable) stored in the gNB base station.

SRS resource allocation failure self-healing procedure: 5G webmaster APIs that access the gNB through program execution adjust the drop related access parameters (RsvdParam 49, rsvdParam50, rsvdParam51, rsvdU8Param58, rsvdU8Param 59).

The source is as follows: https:// wenku. Baidu.com/view/f650ac72148884868762caaeedd3383c4bb4cb404. Html

SRS resource allocation failure rate = number of SRS resource allocation failures/total number of RRC establishment failures

And checking whether the PUCCH related configuration parameter setting is reasonable or not by adopting a comparison method according to the log stored in the gNB base station.

PUCCH resource allocation failure self-healing procedure: the PUCCH-related configuration parameters are adjusted by a program executing API accessing the configuration of the gNB (38.213.9.2).

The specific description is as follows: first, obtain the value of PUCCH-ConfigCommon, then find a set of data corresponding to the value in the 16 rows of data of PUCCH resource configuration, and when the UE uses PUCCH resource, the UE will apply the configuration. That is, by adjusting 1-16 sets of configuration modification when a PUCCH resource allocation failure occurs.

PUCCH resource allocation failure rate = number of RRC connection establishment failures caused by PUCCH resource allocation failure/total number of RRC establishment failures

6. RRC connection establishment failure rate caused by parameter configuration errors of RRCReject and RRCSetupRequest messages caused by flow control

And checking whether the relevant parameters of the service flow control are correct or not according to the log stored in the gNB base station.

The self-healing procedure of RRCReject and RRCSetuprequest message discarding caused by flow control: and performing parameter adjustment on an AMBR/MBR upper limit bucket and a lower limit bucket (AMBR/MINBR/GBR/MBR token bucket) by a network management API (application programming interface) accessing the gNB.

Flow control induced RRCReject, RCSetupRequest message discard parameter configuration error failure rate = number of configuration errors/total number of RRC establishment failures

The second category, authentication and encryption failure, is classified into two 2-level categories:

the right encryption failure is divided into 2 secondary classifications (MAC failure, synchronization failure):

1. MAC failure rate

And analyzing and checking the AUTN parameter in the authentication request message issued by the network side according to the reason value stored in the gNB base station log.

MAC failure self-healing procedure: and (4) authenticating whether the illegal user is authorized or not by accessing the API user identity of the network management of the gNB through program execution, and if the illegal user is authorized, maintaining personnel by short messages or mails.

MAC failure rate = number of MAC failures/total number of RRC setup failures

2. Synchronization failure rate

And analyzing and checking the SQN serial number uowu in the AUTN message in the authentication request message issued by the network side according to the reason value stored in the gNB base station log, so as to cause authentication failure. The main cause of this problem is illegal user and equipment problems.

Synchronous failure self-healing procedure: and (4) authenticating whether the illegal user is authorized or not by accessing the API user identity of the network management of the gNB through program execution, and if the illegal user is authorized, maintaining personnel by short messages or mails. And simultaneously, inquiring whether the alarm database has related equipment fault alarms or not, and if so, short messages or mail maintenance personnel.

The third, E-RAB establishment failure, is divided into four class 2 categories:

common reasons for failure of E-RAB establishment are 4 secondary categories of RF problem, capacity problem, transmission problem, core network problem:

1. capacity problem-failure rate of E-RAB establishment due to not receiving UE response

The capacity problem is all the capacity problem according to the log (in aspects of hardware alarm, coverage, interference, poor quality and the like, whether the gNB parameters are reasonable or not and whether terminal abnormal behaviors exist or not) stored in the gNB base station.

Capacity problem-not received UE response self-healing procedure: and accessing a network management alarm database of the gNB through program execution to obtain event alarm data (such as problems in aspects of hardware alarm, coverage, interference, poor quality and the like, whether gNB parameters are reasonable or not, and whether terminal abnormal behaviors exist or not), wherein maintenance personnel are notified by mails or short messages (the hardware alarm and the terminal abnormal conditions), and the RSRP weak coverage problem is used for adjusting RS power, and the cell signal weak problem is used for adjusting RF (radio frequency) optimization cell reselection boundaries).

Failure rate of not received UE response = number of not received UE responses/total number of RRC setup failures

2. Core network problem-resulting E-RAB establishment failure rate

According to the log stored in the gNB base station (EPC parameter setting, consistency of TAC setting, user card opening limitation, network failure and service non-permission), the core network problem belongs to.

Core network problem-self-healing procedure leading to E-RAB setup failure: event alarm data such as (EPC parameter setting, consistency of TAC setting, user card opening limitation, network failure, service non-permission) and the like are obtained by accessing a network management alarm database of the gNB through program execution, wherein (consistency of TAC setting, user card opening limitation, service non-permission) mails or short messages inform maintenance personnel, whether a network failure fault alarm exists in the alarm database is inquired, EPC parameter setting is used for confirming whether an interface between the EPC and the 5GC is abnormal in connection, and parameter correction is carried out if the fault is abnormal.

Core network problem failure rate = number of core network problems/total number of RRC setup failures

3. Transmission problems-resulting in E-RAB establishment failure rate

The transmission problems are all based on the log stored in the gNB base station (whether the transmission has fault alarm (high error code and flash), and whether the parameter setting of the transmission side is reasonable).

Transmission problem-cause E-RAB establishment failure self-healing procedure: the method comprises the steps that a network management alarm database of the gNB is accessed through program execution to obtain event alarm data (whether fault alarm (high error code and flash) exists in transmission or not, whether parameter setting of a transmission side is reasonable or not) and the like, wherein whether network failure fault alarm exists in the alarm database or not is inquired, whether continuity of the network failure fault alarm exists or not is judged for 3 times or more (high error code and flash) or not, the transmission side relates to an XN interface or an NG interface, whether transmission parameter setting is reasonable or not through the XN interface or the NG interface is needed to be checked for signaling/data interaction, whether packet loss exists in transmission of the XN interface and the NG interface or not needs to be checked at the same time, the problem of larger time delay or larger time delay jitter exists, and if the transmission side needs to be contacted for checking, and the transmission problem is solved.

Transmission problem failure rate = number of transmission problems/total number of RRC setup failures

4. Radio resource starvation-resulting in E-RAB establishment failure rate

And the radio resources are insufficient according to the logs (the number of active users in busy cell and the PRB user rate) stored in the gNB base station.

Radio resource shortage-causes E-RAB setup failure self-healing procedure: event alarm data such as the number of active users in busy cell and the PRB user rate are obtained by accessing a network management alarm database of the gNB through program execution, if an alarm exists, the number of active users in busy cell and the PRB utilization rate are changed through a gNB configuration file, if the 2-person relation is larger, if the number of users is more, the number of users scheduled by enb is more, the scheduling difficulty is larger, the probability of occurrence of scheduling 'gaps' is larger, and the utilization rate of PRB is influenced. The smaller the maximum number of RRC connection users in the configuration file of the gNB is modified by the program execution API, so that the PRB utilization rate is improved.

And finally, generating a fault self-healing table and a corresponding fault rate according to the classification result. Failure rate: representing the activity of this type of fault in all faults; self-healing probability: representing the probability of self-healing of the type of fault executive.

Table 1 signal access fault self-healing table

Step two, building a self-healing model, and calculating to obtain a self-healing probability (representing the probability of self-healing of the fault execution program of the type.)

Formula [ self-healing model ]:

firstly, accessing a network management alarm database of the gNB through program execution to obtain the following data, for example:

resource allocation failure type failure

P (A): the program automatically resolves the probability of the fault occurring each day: 【1】 0= no 1= present;

number of current type of automatic solutions for failure/total number of automatic solutions for failure [ 0.02 ]

P (A | B): probability that this type of fault will still occur after the fault is automatically resolved

1- (number of current type fault automatic resolution/number of current type fault still occurring) [ 0.9 ]

P (B | A): probability of fault self-healing when current type fault occurs every day

And obtaining the self-healing probability of each type of fault of the fault self-healing table in the table 1 through the model training result.

According to a Bayes formula, the following can be obtained:

P(B|A)＝0.9*0.02/1＝0.018

step three, triggering and executing preset self-healing program

When a user terminal UE fails in signal access of a cell base station, the self-healing probability is corresponded through a fault self-healing table:

if the probability is more than 80% and the probability is more than 50%, prompting to a maintenance worker through mails, short messages and other forms to confirm whether to execute a self-healing program;

According to the method, firstly, data analysis is carried out on the random access possibly having faults, the NAS process and the telephone traffic system database access state data through base station log data classification and analysis, and therefore preparation is made for quickly positioning a wireless signal access fault source when the faults occur. Secondly, after the wireless signal access fails, accessing a telephone traffic system database through a program to acquire whether the access state is abnormal or not; meanwhile, whether the information interaction characteristics of the UE and the base station conform to the random access characteristics of repeated continuous retransmission or not is confirmed by accessing the gNB log records, the wireless signal index distortion is obtained after confirmation, and the fault self-healing operation is not considered. Then, the historical data of the wireless signal access failure recorded by accessing the gNB log is classified and put into a self-healing model for analysis. And correspondingly generating a wireless signal access fault self-healing table according to the fault classification and the probability analysis result of the self-healing model corresponding to the classification. And meanwhile, presetting corresponding self-healing programs according to the fault classification in the fault self-healing table, wherein the self-healing programs do not contain (hardware faults, abnormal telephone traffic system access state and random switching-in the NAS process). When the user equipment UE has a fault when being in signal access with the cell base station, triggering a preset self-healing program corresponding to the fault through the corresponding probability of the fault self-healing table to complete fault recovery. And the fault with lower probability self-healing is checked by a maintenance personnel on site. Therefore, the artificial intelligence optimization 5G cell signal access fault location and the access fault self-healing status of the partial deterministic fault automatic execution program are highlighted. And through the analysis of an artificial intelligence model, the fault self-healing probability in the analysis result is higher, and the corresponding preset script automatically runs to complete the recovery work of the signal access fault. The time efficiency of fault location, troubleshooting and recovery when a signal access fault occurs is greatly improved. Therefore, the use experience of the user is improved, and the possible false alarm of the wireless signal access fault is reduced.

Abbreviations and key terms used in the present invention are defined as follows:

and g NB3: GPP calls gNB for 5G base station

5G is different from 3G/4G, compared with 4GLTE which only has two RRC states of RRC IDLE and RRC CONNECTED, 5G NR introduces a new state-RRC INACTIVE

RRC basic concept

RRC (Radio Resource Control) is a message configuration center and a Control center of an access layer of the entire wireless communication protocol stack, and its importance is self-evident.

First, the RRC layer can be understood as a general language that both the network and the UE (User equipment (say, a cell phone)) should understand. As is known, the UE communicates with the network via a wireless channel.

The main role of RRC is to control or configure all radio resources to its lower layers (PHY, MAC, RLC, PDCP) so that communication can take place between the UE and the base station (e.g., gbb, eNB, NB, BTS, etc.).

The E-RAB is a bearer of a User plane, and is used for transmitting voice, data, and multimedia services between a UE (User Equipment) and a CN (Core Network). E-RAB establishment is initiated by CN, when E-RAB establishment is successful, a basic service is established, UE enters into service using process. The RAB and E-RAB are identical in terms of establishment procedure and action.

In application, E-RAB is often found in statistics of performance indicators, such as: the E-RAB establishment success rate. Successful establishment of the E-RAB means that the eNodeB successfully allocates the radio resources of the communication channel and the radio bearer of the user plane to the UE, so that the index reflects the capability of the eNodeB or the cell for admitting the service and can be used for considering the system load condition.

Timer T304

Start receiving RRCConnectionReconfiguration information including MobilityControlInfo

Stopping successful implementation of handover to E-UTRA or satisfying cell change commands

When switching failure occurs overtime and cell reselection is carried out, when a cell replacement command from E-UTRA or switching in E-UTRA occurs, RRC connection reestablishment is initialized; performing operations adapted to be defined by the source RAT specification when switching to E-UTRA

MR data networks: an MR data network is a communication network for transmitting data traffic, which is a network composed of world, country and region based data switches (packet switch, frame relay switch, ATM switch, advanced router, IP switch, etc.) as transfer points. It is a product of comprehensive application of computer hardware and software technology and modern transmission technology.

AMF: access and Mobility Management Function (Access and Mobility Management Function), core network equipment for managing UE Access, security and Mobility in 5G network

eNB base station in LTE network (E-UTRAN NodeB)

LTE: long Term Evolution (Long Term Evolution)

UE: user Equipment (User Equipment), namely mobile communication terminal Equipment, such as a mobile phone.

When the UE accesses the mobile communication network, the base station and the core network need to allocate resources to the UE, and the resources may be divided from the following two aspects: network resources: such as air interface channel resources and GTPU transmission resources allocated to the UE by the base station, and GTPU transmission resources allocated to the UE by the core network; system resources: such as a thread, a process, a board, a virtual machine, and other computer system resources used by a base station or a core network device to serve a UE.

The 3GPP mobile communication standard defines a RESET process between a base station and a core network, and the process aims to inform the base station to initialize system resources occupied by UE and release network resources related to the UE through the RESET process when the system resources in the core network have faults to influence the UE; otherwise, when the system resource in the base station fails and affects the UE, the core network is informed through a RESET process to initialize the system resource occupied by the UE, and the network resource related to the UE is released.

RESET procedure Wie initiated by core network in LTE, 5G network: when system resources of core network equipment MME or AMF are failed (such as process or single board RESET), which causes information loss of part or all of UE, the core network sends a RESET message to the base station, which carries the affected UE identification, the base station releases the system resources and network resources occupied by the UE after receiving the RESET message, and after the resource release is finished, the base station replies a RESET ACKNOWLEDGE message to the core network. Hereinafter, unless otherwise specified, the base station refers to eNB and core network in the LTE network and refers to MME, and the base station refers to NG-RAN node and core network in the 5G network and refers to AMF.

The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.

Claims

1. A method for locating and self-healing a cell base station signal access fault is characterized by comprising the following steps:

2. The method for locating and self-healing cell site signal access failures according to claim 1, wherein the step one comprises:

s1, comprehensively analyzing three stages of a service system access state, a random access and an NAS process, and determining whether signal access fails or not, wherein the steps comprise:

2) Random access: if repeated retransmission exists and the index is distorted in the signal access process, terminating triggering of the fault self-healing program;

3) NAS process: accessing a core network log to track whether the accessed wireless signal completes the cell attachment process, and if not, failing to access the wireless signal;

3. The method according to claim 2, wherein the S2 signal access fault self-healing table comprises: the method comprises the following steps of (1) performing primary type access failure, secondary classification access failure, automatic fault resolution ratio P (B), probability of occurrence after self-healing of a fault, self-healing probability of the fault and fault proportion formula description of the current type;

4. The method according to claim 3, wherein the RRC establishment failures are classified into the following six secondary categories of access failures:

1. failure of resource allocation resulting in failure rate of RRC connection establishment

2. RRC connection establishment failure rate caused by UE non-response

3. RRC connection establishment failure rate caused by cell sending RRCRreject

The RRC connection establishment failure rate caused by sending RRCReject = the number of RRC connection establishment failures caused by sending RRCReject/the total number of all RRC establishment failures;

The RRC connection establishment failure rate = the number of RRC connection establishment failures caused by PUCCH resource allocation failures/the total number of all RRC connection establishment failures;

And (3) the RRC connection establishment failure rate = the number of configuration errors/the total number of all RRC establishment failures caused by parameter configuration errors of RRCRreject and RRCSetupRequest messages caused by flow control.

5. The method according to claim 3, wherein the authentication ciphering failure is classified into two access failure secondary classifications:

1. MAC failure rate

MAC failure rate = number of MAC failures/total number of RRC setup failures;

2. synchronization failure rate

Synchronization failure rate = number of synchronization failures/total number of RRC setup failures.

6. The method according to claim 3, wherein the E-RAB establishment failures are classified into the following four secondary categories of access failures:

2. Core network problems-resulting in E-RAB establishment failure rate

3. Transmission problems-resulting in E-RAB establishment failure rates

4. Radio resource starvation-resulting in E-RAB establishment failure rate

Radio resource shortage-results in E-RAB establishment failure rate = number of transmission problems/total number of RRC establishment failures.

7. The method according to claim 3, wherein the self-healing model in the second step is:

p (A): the program automatically solves the probability of the faults occurring every day;

the number of current type of automatic fault resolution/total number of automatic fault resolution;

p (A | B): after the fault is automatically solved, the probability that the type fault still occurs is P (A | B) = 1-the number of automatically solved faults of the current type/the number of still occurred faults of the current type;

8. The method according to claim 1, wherein in step three, when the UE fails during the access of the cell base station signal, the self-healing probability is mapped to the failure self-healing table according to the failure self-healing table: