CN113596866A

CN113596866A - PCI self-configuration self-optimization method and device

Info

Publication number: CN113596866A
Application number: CN202110630168.0A
Authority: CN
Inventors: 陈永尧
Original assignee: Ankexun Fujian Technology Co ltd
Current assignee: Ankexun Fujian Technology Co ltd
Priority date: 2021-06-07
Filing date: 2021-06-07
Publication date: 2021-11-02
Anticipated expiration: 2041-06-07
Also published as: CN117676637A; CN113596866B

Abstract

The invention discloses a PCI self-configuration self-optimization method and a device, which collect and classify a neighboring cell list in two hops of a base station site, carry out self-judgment according to the change conditions of the site and the neighboring cells thereof, judge whether to optimize the configuration of PCI, and determine a PCI value through a PCI selection algorithm of a multivariate model based on the neighboring cell list in the two hops if PCI optimization is carried out, thereby realizing PCI self-optimization, reducing the occurrence of PCI conflict and confusion, and improving the network performance of the base station site.

Description

PCI self-configuration self-optimization method and device

Technical Field

The present invention relates to the field of wireless communications technologies, and in particular, to a PCI self-configuration self-optimization method and apparatus.

Background

With the large-scale promotion of 5G network construction work, the situation of a 5G station changes abnormally frequently, a super-dense network will be a trend in a 5G communication system, the cell structure will be miniaturized and distributed, and the mutual cooperation among cells is more and more important. With the great increase of sites, the complexity of Network management far exceeds that of the Lte Network, the Network intelligence becomes an urgent need to ensure the performance of the 5G Network, and SON (Self Organizing Network) becomes an indispensable key technology of the 5G Network.

SON refers to the self-organizing capability of the network, and has three main functions: self-configuration (Self-configuration), Self-optimization (Self-optimization), and Self-healing (Self-healing), respectively. The self-configuration function means that parameters are self-configured in the process of establishing the base station, so that manual intervention is reduced, and the network construction cost is reduced; the self-optimization function refers to that the network equipment self-adaptively adjusts parameters according to the running condition of the network equipment so as to achieve the aim of optimizing the network performance; the purpose of the self-healing function is to eliminate or reduce failures that can be addressed by an appropriate recovery process.

PCI (Physical Cell Identities) self-configuration self-optimization is part of the SON function. In the network, wrong, disordered and poor PCI planning will affect signal synchronization, demodulation and switching, and reduce network performance, and the PCI will affect the network performance mainly in the following aspects:

PCI conflict: referring to fig. 1, a PCI collision means that the same PCI cannot be used between two adjacent cells; if two adjacent cells use the same PCI, the terminal can synchronize with only one cell in the handover coverage area, which may cause the following problems: synchronizing downlink of a delayed UE (User Equipment) in an overlapping coverage area; cause high block error rate, physical channel decoding failure; the handover fails.

PCI obfuscation: referring to fig. 2, two neighboring cells of a serving cell cannot use the same PCI; when the PCIs are the same, the terminal is handed over from the serving cell, the target cell is obscured, and confusion is caused.

PCI mode 3 interference: since PCI is generated by PSS (Primary Synchronization Signal); only 3 PSSs (0, 1, 2) in the network are recycled; the "PCI modulo 3" of a cell is equal, as is its PSS. This will affect the UE's identification of the cell and channel estimation errors, which will affect synchronization and user perception.

PCI mode 4 interference: in 5g (nr) networks due to DMRS (Demodulation Reference Signal) at PBCH (Physical Broadcast Channel) Channel subcarrier locations; the position of the subcarrier carrying the DMRS follows the principle of dividing by 4; if the PCI divided by 4 results of the adjacent intervals are the same, the DMRSs thereof interfere with each other, namely, the positions on the SSBs (Synchronization Signal/PBCH, synchronous broadcast block) are the same, so that the mutual interference is caused.

PCI mode 30 interference: 5g (nr) DMRS and SRS (Sounding Reference Signal) on a PUCCH (Physical Uplink Control Channel)/PUSCH (Physical Uplink Shared Channel) in a network are generated according to ZC sequences, and each root has 30 groups; their roots are all PCI related; therefore, the adjacent cells cannot have the same PCI except 30, otherwise uplink interference is generated among the cells.

Currently, research on PCI self-configuration self-optimization in the industry is less, the PCI self-configuration is basically only involved, meanwhile, the management is basically centralized, and the self-configuration self-optimization idea of SON is not met.

Disclosure of Invention

The technical problem to be solved by the invention is as follows: the method and the device for PCI self-configuration self-optimization can improve the network performance of the base station site.

In order to solve the technical problems, the invention adopts the technical scheme that:

a PCI self-configuration self-optimization method comprises the following steps:

collecting a neighbor cell list in two hops of a base station site, and classifying the neighbor cell list in the two hops;

and judging whether the PCI configuration of the site needs to be optimized according to the change conditions of the site and the adjacent cells thereof, and if so, determining the PCI value of the site through a PCI selection algorithm of a multivariate model based on the adjacent cell list in two hops.

In order to solve the technical problem, the invention adopts another technical scheme as follows:

an apparatus for PCI self-configuration self-optimization, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:

The invention has the beneficial effects that: the method comprises the steps of collecting and classifying adjacent cell lists in two hops of a base station site, carrying out self-judgment according to the change conditions of the site and adjacent cells thereof, judging whether to optimize the configuration of the PCI, and if the PCI is to be optimized, determining a PCI value through a PCI selection algorithm of a multivariate model based on the adjacent cell lists in the two hops, so that the PCI self-optimization is realized, the PCI conflict and confusion are reduced, and the network performance of the base station site is improved.

Drawings

FIG. 1 is a diagram of PCI conflicts;

FIG. 2 is a schematic diagram of PCI confusion;

FIG. 3 is a flow chart of a method for PCI self-configuration self-optimization according to an embodiment of the present invention;

FIG. 4 is a diagram illustrating an apparatus for PCI self-configuration self-optimization according to an embodiment of the present invention;

FIG. 5 is a flowchart of collecting and classifying neighbor cell lists when a base station of the PCI self-configuration self-optimization method according to the embodiment of the present invention is established;

fig. 6 is a flowchart of collecting and classifying a neighbor cell list when a base station of the PCI self-configuration self-optimization method according to the embodiment of the present invention is running;

fig. 7 is a flowchart of determining a site PCI value by a multivariate model PCI selection algorithm of a PCI self-configuration self-optimization method according to an embodiment of the present invention.

Detailed Description

In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.

Referring to fig. 3, an embodiment of the present invention provides a PCI self-configuration self-optimization method, including:

From the above description, the beneficial effects of the present invention are: the method comprises the steps of collecting and classifying a neighbor cell list in two hops of a base station site, carrying out self-judgment according to the change condition of the site and the neighbor cells thereof, judging whether to optimize the configuration of the PCI, and if the PCI is to be optimized, determining a PCI value through a PCI selection algorithm of a multivariate model based on the neighbor cell list in the two hops of the site, so that the PCI self-optimization is realized, the PCI conflict and confusion are reduced, and the network performance of the base station site is improved.

Further, the collecting the neighbor cell list in two hops of the base station site includes:

monitoring neighbor cell information in a coverage range when the base station site is monitored;

and establishing a signaling node for the monitored neighbor cells, collecting a one-hop neighbor cell list of the site through the signaling node, and collecting a two-hop neighbor cell list of the site through an updated signaling of the signaling node.

As can be seen from the above description, when the base station establishes the station, the signaling node collects the one-hop neighbor cell list of the station, and the signaling node updates the two-hop neighbor cell list of the signaling collection station, so that the initial PCI is configured by the base station when the base station establishes the station.

Further, the collecting the neighbor cell list in two hops of the base station site further includes:

when a base station runs, updating a one-hop neighbor list of the station through a signaling node of the station, or updating the one-hop neighbor list of the station through a result of artificially increasing or decreasing neighbor cells, or updating the one-hop neighbor list of the station through a method reported by a user equipment neighbor cell;

and updating the two-hop neighbor list of the site through the updating signaling of the signaling node of the site.

As can be seen from the above description, when the base station operates, the neighbor cell list of the station can be updated by increasing or decreasing the neighbor cell result or the neighbor cell report result of the user equipment manually through the signaling node or manually, so that the accurate update of the neighbor cell list is ensured, and the PCI selection according to the updated neighbor cell list is facilitated subsequently.

Further, determining whether the PCI configuration of the site needs to be optimized according to the variation of the site and the neighboring cells thereof includes:

and when the change of the site is detected, or when the change of the adjacent area of the site is detected to cause conflict and confusion, or when the deterioration of the monitoring index of the site is detected, judging whether the PCI configuration of the site needs to be optimized.

According to the above description, whether the PCI configuration of the site needs to be optimized is correspondingly judged according to the detected change conditions of the site and the neighboring cells thereof, so that the self-judgment of the PCI configuration optimization can be realized, the PCI optimization can be accurately performed according to different change conditions, and the network performance of the base station site is improved.

Further, determining the PCI value of the station through a PCI selection algorithm of a multivariate model based on the neighbor list within two hops includes:

obtaining a first array of PCI which is randomly arranged through a PCI selection algorithm;

removing elements in the first array, which are the same as the PCI of the one-hop neighbor list, to obtain a second array, judging whether the second array is empty, and if so, assigning the elements of the first array to the second array;

removing elements in the second array, which are the same as the PCI of the two-hop neighbor list, to obtain a third array, judging whether the third array is empty, and if so, assigning the elements of the second array to the third array;

importing the third array into a multivariate model of a one-hop neighbor cell to obtain a first optimal PCI array;

judging whether the number of elements of the first optimal PCI array is equal to 1, if so, the value of the elements in the first optimal PCI array is the PCI value of the site, if not, importing the first optimal PCI array into a multivariate model of a two-hop neighbor cell to obtain a second optimal PCI array, and selecting the element with the minimum modulus value of the second optimal PCI array as the PCI value of the site.

According to the description, the randomly arranged PCI first array obtained through the PCI selection algorithm is subjected to element screening based on the adjacent cell list in two hops, the screened elements are introduced into the multivariate model of the adjacent cell, the optimal PCI value is further selected as the PCI value of the station, the occurrence of PCI conflict and confusion can be reduced, and the network performance of the station of the base station is improved.

Referring to fig. 4, another embodiment of the present invention provides a PCI self-configuration self-optimization apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the following steps:

It can be known from the above description that the neighbor cell list in two hops of the base station site is collected and classified, self-judgment is performed according to the change condition of the site and the neighbor cells thereof, whether the configuration of the PCI is to be optimized is judged, and if the PCI is to be optimized, the PCI value is determined through the PCI selection algorithm of the multivariate model based on the neighbor cell list in two hops of the site, so that the PCI self-optimization is realized, the PCI conflict and confusion are reduced, and the network performance of the base station site is improved.

The PCI self-configuration and self-optimization method and device of the present invention are suitable for self-configuration and self-optimization of a site of a distributed base station, and can improve network performance of the site, and are described in the following embodiments:

example one

Referring to fig. 3, 5 to 7, a PCI self-configuration self-optimization method includes the steps of:

s1, collecting the adjacent cell list in two hops of the base station site, and classifying the adjacent cell list in the two hops.

Specifically, the PCI self-configuration is mainly to self-configure an initial PCI when the base station is built, and the PCI self-optimization is mainly to adjust the PCI during the operation of the base station, so the neighbor cell collection includes the building neighbor cell collection and the running neighbor cell collection.

Wherein, the collecting the neighbor list in two hops of the base station site comprises:

Specifically, referring to fig. 5, after a base station is started, neighbor cell information in a coverage area is monitored through a sniffer function, after a neighbor cell is found, an Xn signaling establishment request is initiated actively, after the Xn signaling establishment is successful, base stations of both sides inform neighbor cell information of the other side through an Xn update signaling, one-hop neighbor cell information, namely information of a neighbor cell, is collected through the Xn establishment information, two-hop neighbor cell information, namely neighbor cell information of the neighbor cell, is collected through the Xn update signaling, and a one-hop neighbor cell list and a two-hop neighbor cell list are classified into three categories: a modulo-3 neighbor, a modulo-4 neighbor, and a modulo-30 neighbor.

Wherein, the collecting the neighbor list in two hops of the base station site further comprises:

Specifically, referring to fig. 6, in the operation process of the base station, the surrounding environment is complex and changeable, and in the operation process of the current base station, the one-hop neighbor cell information is collected through the following three ways: xn establishes a request signaling, reports UE adjacent cells and artificially increases and decreases the adjacent cells manually; and collecting the information of the two-hop neighbor cell by an Xn node updating signaling mode. After the adjacent cells are collected, the adjacent cells are classified into three classes of a module 3 adjacent cell, a module 4 adjacent cell and a module 30 adjacent cell which are defined when the base station is built.

S2, judging whether the PCI configuration of the site needs to be optimized according to the change condition of the site and the adjacent cells thereof, and if so, determining the PCI value of the site through a PCI selection algorithm of a multivariate model based on the adjacent cell list in two hops.

Determining the PCI value of the site through a PCI selection algorithm of a multivariate model based on the neighbor cell list in the two hops comprises the following steps:

Specifically, referring to fig. 7, when the base station determines that the PCI of the base station needs to be modified, an array a is generated through a PCI selection algorithm, and 1008 PCIs in the array a are randomly ordered to generate an array B;

according to the one-hop neighbor list, excluding elements in the array B which are equal to the PCI of the one-hop neighbor to obtain an array C, and if the array C is empty, assigning the array B to the array C;

and according to the two-hop neighbor list, excluding elements in the array C which are equal to the PCI of the two-hop neighbor to obtain an array D, and if the array D is empty, assigning the array C to the array D.

The elements in the array D are imported into a multivariate model of a one-hop neighbor cell, where the multivariate model in this embodiment is a ternary model including modulo 3, modulo 4, and modulo 30, to obtain a set of optimal PCI array E:

k1＝αx+βy+γz；

in the formula, x represents the number of adjacent cells of the input PCI module 30, y represents the number of adjacent cells of the module 4, z represents the number of adjacent cells of the module 3, alpha represents a module 30 parameter, the initial value is 0.7, beta represents a module 4 parameter, the initial value is 0.15, gamma represents a module 3 parameter, the initial value is 0.15, k represents a module value, and the smaller k is, the better PCI is;

if the number of the elements of the array E is 1, the PCI selection is finished, and finally the PCI is the element in the array E; and if the number of the array elements is more than 1, entering the next process.

And introducing the elements in the array E into a ternary model k2 of a two-hop adjacent region, namely alpha x + beta y + gamma z, obtaining a group of optimal PCI array F, and selecting the element with the minimum modulus value k2 in the array F as the PCI value of the station.

Wherein, the base station dynamically adjusts the alpha, beta and gamma parameters of the multivariate model according to different current KPI indexes. When the relevant uplink indexes continuously deteriorate, increasing the alpha value, wherein the alpha value is not more than 1; when the relevant downlink index is deteriorated, the beta value is increased and is not more than 0.5. The step bit for each adjustment is 0.01 and the sum of α, β, γ is 1.

Therefore, in this embodiment, the parameters of the multivariate model are dynamically adjusted according to the current KPI index, so that the module value calculation can be accurately performed, and further, the optimal PCI value can be obtained, and the accuracy of PCI optimization and the network performance of the station can be improved.

Example two

The difference between this embodiment and the first embodiment is that how to determine whether to perform PCI configuration optimization is further defined, specifically:

judging whether the PCI configuration of the site needs to be optimized according to the change conditions of the site and the adjacent cells thereof comprises the following steps:

The change of the site refers to the change of the site parameters, including but not limited to manual change of the PCI of the site, the frequency point of the site, the bidirectional adjacent cell switch of the site, and the like, manual change of the adjacent cell list, and the change of the adjacent cell list reported by the UE adjacent cell.

The adjacent cell changes refer to the addition of the adjacent cell or the change of adjacent cell parameters, and the adjacent cell parameters comprise the PCI of the adjacent cell, the frequency point of the adjacent cell and the adjacent cell list of the adjacent cell.

In this embodiment, the self-decision of PCI configuration optimization mainly means that each distributed station determines whether to change the PCI according to a certain criterion when detecting that the PCI needs to be changed. When the base station builds the station and self-configures, it needs to select a PCI, so the PCI configuration optimization self-decision mainly occurs in the PCI self-optimization, when the station monitors the occurrence of PCI conflict, the occurrence of PCI confusion and the monitoring of KPI index deterioration, for example, when the integrated KPI is less than 80%, the decision process of PCI configuration optimization is started.

Specifically, PCI self-decision under PCI conflict: there are several cases where PCI collision occurs:

(1) the site actively initiates Xn to establish triggering PCI conflict: when a bidirectional adjacent switch of a site is turned on, when a sniffer finds a new adjacent region, or a UE reports the new adjacent region, or a bidirectional adjacent region is manually added, an Xn establishment request is initiated to the new adjacent region, and after signaling interaction with the new adjacent region, PCI conflict may be detected. When such PCI collision is triggered, the base station itself needs to modify the PCI.

(2) The station passively receives Xn to establish triggering PCI conflict: when a site receives an Xn establishment request initiated by a neighboring cell, PCI collision may be detected through signaling interaction. When such a PCI conflict is triggered, then there is no need to modify the PCI itself.

(3) And the station passively receives the PCI conflict triggered by the Xn node and the new signaling: when parameters of the adjacent cells change, the Xn nodes update signaling to inform the sites, when the sites receive the signaling, PCI conflicts can be detected, when the PCI conflicts are triggered, the current KPI comprehensive indexes are judged, if the current KPI comprehensive indexes are larger than or equal to 95%, the PCI is not modified temporarily, a 2-minute PCI conflict timer is started, and if the current KPI comprehensive indexes exceed the 95%, the PCI conflicts still exist, and then the base station is judged to need to modify the PCI; if the KPI comprehensive index is less than 95%, the base station needs to modify the PCI, wherein the ratio of the KPI can be configured.

(4) And PCI conflict is triggered by the change of the site PCI parameters: when the site PCI parameters are manually changed, a PCI conflict may be detected. When the PCI conflict is triggered, a 1-minute PCI conflict timer is started, and if the PCI conflict still exists after the time is out, the base station needs to modify the PCI.

(5) And the change of the site neighbor list triggers PCI conflict: when a single neighborhood is newly added, there may be a PCI conflict. When such PCI collision is triggered, the base station itself needs to modify the PCI.

(6) And the change of the site frequency point parameters triggers PCI conflict: PCI conflicts may be detected when site frequency bin parameters are manually changed. When the PCI conflict is triggered, a 1-minute PCI conflict timer is started, and if the PCI conflict still exists after the time is out, the base station needs to modify the PCI.

Specifically, PCI self-decision under PCI confusion: when the situation that the PCI is confused is monitored currently, one condition is that two adjacent cells with the same PCI exist in the monitored base station, called A for short, and the other condition is that the base station with the same PCI exists in the adjacent cells in the monitored base station, called B for short. The base station monitoring the A condition does not need to modify the PCI by itself; the base station monitoring the B condition is divided into an event trigger and an event receiver: after the event triggers and monitors that PCI confusion is generated, the base station needs to modify the PCI; and after monitoring the PCI confusion, the event receiver starts a 2-minute PCI confusion timer, and if the confusion still exists after the timeout, the event receiver needs to modify the PCI.

Specifically, the PCI self-decision under the KPI indicator deterioration: under different connection number densities, different KPI index red line threshold values exist, if the current comprehensive KPI index is lower than the current red line threshold value, and meanwhile, the PCI number of times of modification due to KPI deterioration is smaller than the modification threshold value, the base station needs to modify the PCI.

Therefore, by the optimized self-decision method in the embodiment, when each distributed station detects that the PCI needs to be changed, whether the PCI needs to be changed or not can be determined according to a certain criterion, so that a ping-pong effect caused by a poor criterion can be avoided.

EXAMPLE III

Referring to fig. 4, an apparatus for PCI self-configuration and self-optimization includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the PCI self-configuration and self-optimization method according to the first embodiment or the second embodiment.

In summary, the PCI self-configuration self-optimization method and apparatus provided by the present invention collect and classify the neighbor cell list within two hops of the base station site, and since PCI self-configuration mainly self-configures the initial PCI when the base station is built, and PCI self-optimization mainly adjusts the PCI during the operation of the base station, the neighbor cell collection includes building station neighbor cell collection and running neighbor cell collection, and can accurately obtain the neighbor cell information of the current base station; when each distributed station detects that a station or the adjacent area of the station is changed, whether the station needs to change the PCI is judged according to a certain criterion, if the PCI is required to be optimized, the PCI value is determined through a PCI selection algorithm of a multivariate model based on the adjacent area list in two hops, the PCI self-optimization is realized, the PCI conflict and confusion are reduced, and the network performance of the base station is improved.

The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims

1. A PCI self-configuration self-optimization method is characterized by comprising the following steps:

2. The method of claim 1, wherein the collecting the neighbor cell list within two hops of the base station site comprises:

3. The method of claim 2, wherein the collecting the neighbor cell list within two hops of the base station site further comprises:

4. The method of claim 1, wherein determining whether the PCI configuration of the site needs to be optimized according to the variation of the site and its neighboring cells comprises:

and when the change of the site is detected or the change of the adjacent area of the site is detected to cause conflict and confusion or the deterioration of the monitoring index of the site is detected, judging whether the PCI configuration of the site needs to be optimized.

5. The method of claim 3, wherein determining the PCI value of the station through a multivariate model PCI selection algorithm based on the neighbor list in two hops comprises:

6. An apparatus for PCI self-configuration self-optimization, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the steps of:

7. The apparatus of claim 6, wherein the collecting the neighbor list within two hops of the base station site comprises:

8. The apparatus of claim 7, wherein the collecting the neighbor cell list within two hops of the base station site further comprises:

9. The apparatus of claim 6, wherein the determining whether the PCI configuration of the site needs to be optimized according to the variation of the site and its neighboring cells comprises:

10. The apparatus of claim 8, wherein determining the PCI value of the station through a multivariate model PCI selection algorithm based on the neighbor list in two hops comprises: