CN117676637A - Self-judging method and device for PCI configuration optimization in 5G network - Google Patents
Self-judging method and device for PCI configuration optimization in 5G network Download PDFInfo
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Abstract
The invention discloses a self-judging method and a self-judging device for PCI configuration optimization in a 5G network, which are used for collecting and classifying neighbor cell lists in two hops of a base station site, carrying out self-judging according to the change condition of the site and the neighbor cells thereof, judging whether to optimize the configuration of PCI, if the configuration is to be optimized, determining the PCI value through a PCI selection algorithm of a multivariate model based on the neighbor cell lists in the two hops, realizing PCI self-optimization, reducing the occurrence of PCI conflict and confusion, and further improving the network performance of the base station site.
Description
The scheme is a division application taking a patent application with the application number of 202110630168.0, the application date of 2021, 6 months and 7 days and the name of PCI self-configuration self-optimization method and device as a master application.
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for self-decision of PCI configuration optimization in a 5G network.
Background
With the large-scale promotion of 5G network construction work, the situation of 5G sites changes abnormally frequently, an ultra-dense network is a trend in a 5G communication system, a cell structure is miniaturized and distributed, and 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 existing network Lte network, network intellectualization becomes an urgent need for guaranteeing the performance of the 5G network, and SON (Self Organizing Network, self-organizing network) becomes an indispensable key technology of the 5G network.
SON refers to the self-organizing capability of a network, and mainly has three functions: self-configuration (Self-optimization), self-optimization (Self-healing), and Self-healing (Self-healing), respectively. The self-configuration function refers to self-configuration parameters in the base station establishment process, so that manual intervention is reduced, and the network construction cost is reduced; the self-optimizing function refers to that the network equipment adjusts parameters in a self-adaptive way 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 faults that can be resolved by an appropriate recovery procedure.
PCI (Physical Cell Identities, physical cell ID) self-configuring self-optimization is part of SON functionality. In the network, wrong, disordered and bad PCI planning affects signal synchronization, demodulation and switching, reduces network performance, and the PCI affects the network performance mainly in the following aspects:
PCI collision: referring to fig. 1, a PCI collision refers to that the same PCI cannot be used between two neighboring cells; if two adjacent cells use the same PCI, the terminal can only synchronize with one cell in the area of the cross-zone coverage, and the following problems can be caused: synchronizing the downlink of the delayed UE (User Equipment) in the overlapped coverage area; causing high block error rate and physical channel decoding failure; the handover fails.
PCI confusion: referring to fig. 2, two neighboring cells of a serving cell cannot use the same PCI; when PCI is the same, the terminal switches from the service cell, and the target cell is not clear, so that confusion is caused.
PCI modulo 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 the cells is equal, and the PSS is also equal. This will affect the UE's identification of cells and channel estimation errors, which will affect synchronization and user perception.
PCI modulo 4 interference: DMRS (Demodulation Reference Signal ) at PBCH (Physical Broadcast Channel, physical broadcast channel) channel subcarrier location in a 5G (NR) network; the subcarrier position carrying the DMRS follows the "divide by 4" principle; if the adjacent-region PCI divides 4 the result to be the same, the DMRS will interfere with each other, namely, the mutual interference is caused by the same position on the SSB (Synchronization Signal/PBCH, synchronous broadcast block).
PCI modulo 30 interference: DMRS and SRS (Sounding Reference Signal, channel sounding reference signals) on PUCCH (Physical Uplink Control Channel )/PUSCH (Physical Uplink Shared Channel, physical uplink shared channel) in a 5G (NR) network are generated according to ZC sequences, 30 groups per root; their roots are all related to PCI; therefore, there cannot be the same "PCI divide by 30" between neighboring cells, otherwise uplink interference will occur between cells.
The current research on PCI self-configuration self-optimization in the industry is less, only the PCI self-configuration is basically involved, and meanwhile, the PCI self-configuration self-optimization management system is basically in centralized management and does not accord with the self-configuration self-optimization thought of SON.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the self-judging method and the self-judging device for PCI configuration optimization in the 5G network can improve the network performance of a base station site.
In order to solve the technical problems, the invention adopts the following technical scheme:
a self-judging method for PCI configuration optimization in 5G network includes the steps:
collecting neighbor cell lists in two hops of a base station site, and classifying the neighbor cell lists in the two hops;
judging whether the PCI configuration of the station is required to be optimized according to the change conditions of the station and the adjacent cells of the station, if so, determining the PCI value of the station through a PCI selection algorithm of a multivariate model based on the adjacent cell list in the two hops.
In order to solve the technical problems, the invention adopts another technical scheme that:
a self-deciding apparatus for PCI configuration optimization in a 5G network, comprising a memory, a processor and a computer program stored on said memory and executable on the processor, said processor implementing the following steps when executing said computer program:
collecting neighbor cell lists in two hops of a base station site, and classifying the neighbor cell lists in the two hops;
judging whether the PCI configuration of the station is required to be optimized according to the change conditions of the station and the adjacent cells of the station, if so, determining the PCI value of the station through a PCI selection algorithm of a multivariate model based on the adjacent cell list in the two hops.
The invention has the beneficial effects that: collecting and classifying neighbor cell lists in two hops of a base station site, carrying out self-decision according to the change conditions of the site and neighbor cells, judging whether to optimize configuration of PCI, if PCI optimization is required, determining PCI values through a PCI selection algorithm of a multivariate model based on the neighbor cell lists in the two hops, and realizing PCI self-optimization so as to reduce the occurrence of PCI conflict and confusion, thereby improving network performance of the base station site.
Drawings
FIG. 1 is a schematic diagram of PCI collision;
FIG. 2 is a 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 schematic diagram of a PCI self-configuration self-optimizing device according to an embodiment of the present invention;
FIG. 5 is a flow chart of collecting and classifying neighbor cell lists when a base station of a PCI self-configuration self-optimizing method according to an embodiment of the present invention is established;
FIG. 6 is a flow chart of collecting and classifying neighbor cell lists at the base station runtime of a PCI self-configuration self-optimization method according to an embodiment of the present invention;
fig. 7 is a flowchart of determining a station PCI value by a multivariate model PCI selection algorithm of a PCI self-configuration self-optimization method according to an embodiment of the invention.
Detailed Description
In order to describe the technical contents, the achieved objects and effects of the present invention in detail, the following description will be made with reference to the embodiments in conjunction with the accompanying drawings.
Referring to fig. 3, an embodiment of the present invention provides a method for self-configuring and self-optimizing PCI, which includes the steps of:
collecting neighbor cell lists in two hops of a base station site, and classifying the neighbor cell lists in the two hops;
judging whether the PCI configuration of the station is required to be optimized according to the change conditions of the station and the adjacent cells of the station, if so, determining the PCI value of the station through a PCI selection algorithm of a multivariate model based on the adjacent cell list in the two hops.
From the above description, the beneficial effects of the invention are as follows: collecting and classifying neighbor cell lists in two hops of a base station site, carrying out self-decision according to the change conditions of the site and neighbor cells, judging whether to optimize configuration of PCI, if PCI optimization is required, determining the PCI value based on the neighbor cell lists in the two hops of the site through a PCI selection algorithm of a multivariate model, realizing PCI self-optimization, reducing the occurrence of PCI conflict and confusion, and improving network performance of the base station site.
Further, the collecting the neighbor list in the two hops of the base station site includes:
monitoring neighbor information in a coverage area when the base station is built;
and establishing a signaling node for the intercepted neighbor cell, collecting a one-hop neighbor cell list of the station through the signaling node, and collecting a two-hop neighbor cell list of the station through an updating signaling of the signaling node.
It can be seen from the above description that, when the base station is set up, the signaling node is used to collect the one-hop neighbor list of the station, and the signaling node is updated to collect the two-hop neighbor list of the station, so as to facilitate self-configuration of the initial PCI when the base station is set up.
Further, the collecting the neighbor list in the two hops of the base station further includes:
when a base station operates, 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 manually increasing or decreasing neighbor cells, or updating the one-hop neighbor list of the station through a method of reporting neighbor cells of user equipment;
updating the two-hop neighbor list of the station through the update signaling of the signaling node of the station.
According to the description, when the base station operates, the neighbor cell result or the neighbor cell reporting result of the user equipment can be manually increased or decreased through the signaling node or manually, so that the accurate update of the neighbor cell list is ensured, and the PCI selection is facilitated according to the updated neighbor cell list.
Further, determining whether the PCI configuration of the station needs to be optimized according to the change conditions of the station and the neighboring cells thereof includes:
and judging whether the PCI configuration of the station needs to be optimized when detecting that the station changes or detecting that the adjacent area of the station changes to cause conflict confusion or detecting that the monitoring index of the station is deteriorated.
According to the above description, according to the detected change conditions of the station and the neighboring cells thereof, it is correspondingly judged whether the PCI configuration of the station needs to be optimized, so that the self-judgment of PCI configuration optimization can be realized, PCI optimization can be accurately performed according to different change conditions, and the network performance of the base station is improved.
Further, determining the PCI value of the station by the PCI selection algorithm of the multivariate model based on the neighbor list in the two hops comprises:
acquiring a PCI first array arranged randomly through a PCI selection algorithm;
removing elements which are the same as the PCI of the one-hop neighbor cell list in the first array to obtain a second array, judging whether the second array is empty, and if yes, assigning the elements of the first array to the second array;
removing elements which are the same as the PCI of the two-hop neighbor cell list in the second array to obtain a third array, judging whether the third array is empty, and if yes, assigning the elements of the second array to the third array;
importing the third array into a multi-element model of a one-hop neighbor cell to obtain a first optimal PCI array;
and judging whether the number of the elements of the first optimal PCI array is equal to 1, if so, obtaining the value of the element in the first optimal PCI array as the PCI value of the station, and if not, importing the first optimal PCI array into a multi-element model of a two-hop neighbor cell to obtain a second optimal PCI array, and selecting the element with the minimum module value of the second optimal PCI array as the PCI value of the station.
As can be seen from the above description, element screening is performed on the PCI first array that is obtained by the PCI selection algorithm and is arranged randomly based on the neighbor cell list in the two hops, and then the screened elements are imported into the multivariate model of the neighbor cell, and the optimal PCI value is further selected as the PCI value of the station, so that the occurrence of PCI collision and confusion can be reduced, and the network performance of the base station can be improved.
Referring to fig. 4, another embodiment of the present invention provides a PCI self-configuring and self-optimizing apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:
collecting neighbor cell lists in two hops of a base station site, and classifying the neighbor cell lists in the two hops;
judging whether the PCI configuration of the station is required to be optimized according to the change conditions of the station and the adjacent cells of the station, if so, determining the PCI value of the station through a PCI selection algorithm of a multivariate model based on the adjacent cell list in the two hops.
As can be seen from the above description, the neighbor cell lists in the two hops of the base station are collected and classified, the self-decision is performed according to the change condition of the station and its neighbor cells, and whether to optimize the configuration of the PCI is determined, if the PCI is to be optimized, the PCI value is determined by the PCI selection algorithm of the multivariate model based on the neighbor cell list in the two hops of the station, so as to realize the PCI self-optimization, and reduce the occurrence of PCI collision and confusion, thereby improving the network performance of the base station.
Further, the collecting the neighbor list in the two hops of the base station site includes:
monitoring neighbor information in a coverage area when the base station is built;
and establishing a signaling node for the intercepted neighbor cell, collecting a one-hop neighbor cell list of the station through the signaling node, and collecting a two-hop neighbor cell list of the station through an updating signaling of the signaling node.
It can be seen from the above description that, when the base station is set up, the signaling node is used to collect the one-hop neighbor list of the station, and the signaling node is updated to collect the two-hop neighbor list of the station, so as to facilitate self-configuration of the initial PCI when the base station is set up.
Further, the collecting the neighbor list in the two hops of the base station further includes:
when a base station operates, 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 manually increasing or decreasing neighbor cells, or updating the one-hop neighbor list of the station through a method of reporting neighbor cells of user equipment;
updating the two-hop neighbor list of the station through the update signaling of the signaling node of the station.
According to the description, when the base station operates, the neighbor cell result or the neighbor cell reporting result of the user equipment can be manually increased or decreased through the signaling node or manually, so that the accurate update of the neighbor cell list is ensured, and the PCI selection is facilitated according to the updated neighbor cell list.
Further, determining whether the PCI configuration of the station needs to be optimized according to the change conditions of the station and the neighboring cells thereof includes:
and judging whether the PCI configuration of the station needs to be optimized when detecting that the station changes or detecting that the adjacent area of the station changes to cause conflict confusion or detecting that the monitoring index of the station is deteriorated.
According to the above description, according to the detected change conditions of the station and the neighboring cells thereof, it is correspondingly judged whether the PCI configuration of the station needs to be optimized, so that the self-judgment of PCI configuration optimization can be realized, PCI optimization can be accurately performed according to different change conditions, and the network performance of the base station is improved.
Further, determining the PCI value of the station by the PCI selection algorithm of the multivariate model based on the neighbor list in the two hops comprises:
acquiring a PCI first array arranged randomly through a PCI selection algorithm;
removing elements which are the same as the PCI of the one-hop neighbor cell list in the first array to obtain a second array, judging whether the second array is empty, and if yes, assigning the elements of the first array to the second array;
removing elements which are the same as the PCI of the two-hop neighbor cell list in the second array to obtain a third array, judging whether the third array is empty, and if yes, assigning the elements of the second array to the third array;
importing the third array into a multi-element model of a one-hop neighbor cell to obtain a first optimal PCI array;
and judging whether the number of the elements of the first optimal PCI array is equal to 1, if so, obtaining the value of the element in the first optimal PCI array as the PCI value of the station, and if not, importing the first optimal PCI array into a multi-element model of a two-hop neighbor cell to obtain a second optimal PCI array, and selecting the element with the minimum module value of the second optimal PCI array as the PCI value of the station.
As can be seen from the above description, element screening is performed on the PCI first array that is obtained by the PCI selection algorithm and is arranged randomly based on the neighbor cell list in the two hops, and then the screened elements are imported into the multivariate model of the neighbor cell, and the optimal PCI value is further selected as the PCI value of the station, so that the occurrence of PCI collision and confusion can be reduced, and the network performance of the base station can be improved.
The method and the device for PCI self-configuration self-optimization are suitable for self-configuration and self-optimization of the distributed base station site, can improve the network performance of the site, and are described by the following specific embodiments:
example 1
Referring to fig. 3 and fig. 5 to fig. 7, a method for self-configuring and self-optimizing PCI includes the steps of:
s1, collecting neighbor cell lists in two hops of a base station site, and classifying the neighbor cell lists in the two hops.
Specifically, the PCI self-configuration mainly self-configures initial PCI when the base station is established, and the PCI self-optimization mainly adjusts PCI in the running process of the base station, so that the neighbor cell collection comprises establishing neighbor cell collection and running neighbor cell collection.
The collecting the neighbor cell list in the two hops of the base station site comprises the following steps:
monitoring neighbor information in a coverage area when the base station is built;
and establishing a signaling node for the intercepted neighbor cell, collecting a one-hop neighbor cell list of the station through the signaling node, and collecting a two-hop neighbor cell list of the station through an updating signaling of the signaling node.
Specifically, referring to fig. 5, after a base station is started, neighbor information in a coverage area is monitored through a sniffer (sniffer) function, after a neighbor is found, an Xn signaling establishment request is actively initiated, after the Xn signaling is successfully established, base stations of both sides inform neighbor information of the other side by means of an Xn update signaling, collect one-hop neighbor information, namely neighbor information, collect two-hop neighbor information, namely neighbor information of the neighbor cell, by means of an Xn update signaling, and respectively classify a one-hop neighbor list and a two-hop neighbor list into three categories: a die 3 neighbor, a die 4 neighbor, and a die 30 neighbor.
The collecting the neighbor cell list in the two hops of the base station site further comprises:
when a base station operates, 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 manually increasing or decreasing neighbor cells, or updating the one-hop neighbor list of the station through a method of reporting neighbor cells of user equipment;
updating the two-hop neighbor list of the station through the update signaling of the signaling node of the station.
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, one-hop neighbor cell information is collected by the following three modes: xn establishment request signaling, UE neighbor report and artificial manual neighbor increase and decrease; and collecting the information of the two-hop neighbor cell in a mode of Xn node update signaling. After neighbor cell collection, the neighbor cells are classified into three classes, namely a mode 3 neighbor cell, a mode 4 neighbor cell and a mode 30 neighbor cell, which are defined when the base station is established.
S2, judging whether the PCI configuration of the station is required to be optimized according to the change conditions of the station and the adjacent cells, if so, determining the PCI value of the station through a PCI selection algorithm of a multivariate model based on the adjacent cell list in the two hops.
Wherein determining the PCI value of the station through the PCI selection algorithm of the multivariate model based on the neighbor list in the two hops comprises:
acquiring a PCI first array arranged randomly through a PCI selection algorithm;
removing elements which are the same as the PCI of the one-hop neighbor cell list in the first array to obtain a second array, judging whether the second array is empty, and if yes, assigning the elements of the first array to the second array;
removing elements which are the same as the PCI of the two-hop neighbor cell list in the second array to obtain a third array, judging whether the third array is empty, and if yes, assigning the elements of the second array to the third array;
importing the third array into a multi-element model of a one-hop neighbor cell to obtain a first optimal PCI array;
and judging whether the number of the elements of the first optimal PCI array is equal to 1, if so, obtaining the value of the element in the first optimal PCI array as the PCI value of the station, and if not, importing the first optimal PCI array into a multi-element model of a two-hop neighbor cell to obtain a second optimal PCI array, and selecting the element with the minimum module value of the second optimal PCI array as the PCI value of the station.
Specifically, referring to fig. 7, when the base station determines that the base station needs to modify its own PCI, generating an array a by using a PCI selection algorithm, and randomly ordering 1008 PCIs in the array a to generate an array B;
according to the one-hop neighbor cell list, removing elements equal to the PCI of the one-hop neighbor cell in the array B 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 cell list, removing elements equal to the PCI of the two-hop neighbor cell in the array C 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 led into a multi-element model of a one-hop neighbor cell, and the multi-element model is a ternary model in the embodiment, which comprises a modulo 3 element, a modulo 4 element and a modulo 30 element, so as to obtain a group of optimal PCI array E:
k1＝αx+βy+γz；
wherein x represents the number of adjacent cells of the input PCI model 30, y represents the number of adjacent cells of the model 4, z represents the number of adjacent cells of the model 3, alpha represents the model 30 parameter, the initial value is 0.7, beta represents the model 4 parameter, the initial value is 0.15, gamma represents the model 3 parameter, the initial value is 0.15, k represents the model value, and the smaller k is, the better the PCI is;
if the number of the elements of the array E is 1, PCI selection is finished, and finally PCI is the element in the array E; if the number of the array elements is greater than 1, entering the next flow.
And importing the elements in the array E into a ternary model k2=alpha x+beta y+gamma z of the two-hop neighbor cell to obtain a group of optimal PCI array F, and selecting the element with the minimum modulus k2 in the array F as the PCI value of the site.
The base station dynamically adjusts alpha, beta and gamma parameters of the multi-element model according to different KPI indexes at present. When the related uplink index is continuously deteriorated, increasing an alpha value, wherein the alpha value is not more than 1; when the relevant downlink index is deteriorated, the beta value is increased, and the beta value 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, parameters of the multivariate model are dynamically adjusted according to the current KPI indicator, so that the module value can be accurately calculated, and further an optimal PCI value can be obtained, so that accuracy of PCI optimization can be improved, and network performance of the station can be improved.
Example two
The difference between the present embodiment and the first embodiment is that how to determine whether to perform optimization of PCI configuration is further defined, specifically:
judging whether the PCI configuration of the station needs to be optimized according to the change conditions of the station and the adjacent cells thereof comprises the following steps:
and judging whether the PCI configuration of the station needs to be optimized when detecting that the station changes or detecting that the adjacent area of the station changes to cause conflict confusion or detecting that the monitoring index of the station is deteriorated.
The station change refers to the change of station parameters, including but not limited to manual change of station PCI/station frequency point/station bidirectional neighbor switch, manual change of neighbor list, and reporting of the changed neighbor list by the UE neighbor.
The change of the neighbor cell refers to the new addition of the neighbor cell or the change of neighbor cell parameters, wherein the neighbor cell parameters comprise the PCI of the neighbor cell, the frequency point of the neighbor cell and the neighbor cell list of the neighbor cell.
In this embodiment, the PCI configuration optimization self-determination mainly refers to determining whether to change the PCI according to a certain criterion when each distributed station detects that the PCI needs to be changed. The base station needs to select one PCI when building the self-configuration, so that the PCI configuration optimization self-judgment mainly occurs when PCI self-optimization, when a station monitors that PCI conflict occurs, PCI confusion occurs and KPI index deterioration is monitored, for example, the comprehensive KPI is less than 80%, the judgment flow of PCI configuration optimization is started.
Specifically, the PCI self-decision under PCI collision: the PCI collision occurs in several cases:
(1) The site actively initiates an Xn to establish and trigger PCI conflict: when the site bidirectional neighbor switch is turned on, when the sniffer discovers a new neighbor, or the UE reports the new neighbor, or manually adds the bidirectional neighbor, an Xn establishment request is initiated to the new neighbor, and after signaling interaction with the new neighbor, PCI collision can be detected. When such a PCI collision is triggered, then the base station itself needs to modify the PCI.
(2) Station passively receives an Xn setup trigger PCI collision: when the station receives an Xn establishment request initiated by the neighbor cell, a PCI collision may be detected through signaling interaction. When such a PCI collision is triggered, then there is no need to modify the own PCI.
(3) The station passively receives the PCI conflict triggered by the Xn node and the new signaling: when the neighbor cell parameters change, notifying a station through Xn node update signaling, when the station receives the signaling, detecting PCI conflict possibly, when the PCI conflict is triggered, judging the current KPI comprehensive index, if the current KPI comprehensive index is more than or equal to 95%, temporarily not modifying the PCI, starting a 2-minute PCI conflict timer, and if the PCI conflict still exists after the PCI conflict is exceeded, judging that the base station needs to modify the PCI; if the KPI comprehensive index is less than 95%, the base station needs to modify PCI, wherein the KPI ratio is configurable.
(4) Station PCI parameter variation triggers PCI conflict: when the site PCI parameters are manually changed, PCI conflicts may be detected. When such PCI collision is triggered, a 1-minute PCI collision timer is started, and if the PCI collision still exists after timeout, the base station itself needs to modify the PCI.
(5) PCI conflict is triggered by site neighbor list change: when a single neighbor is added, there may be a PCI collision. When such a PCI collision is triggered, then the base station itself needs to modify the PCI.
(6) PCI conflict is triggered by site frequency point parameter variation: when site frequency parameters are manually changed, a PCI collision may be detected. When such PCI collision is triggered, a 1-minute PCI collision timer is started, and if the PCI collision still exists after timeout, the base station itself needs to modify the PCI.
Specifically, the PCI self-decision under PCI confusion: there are two cases of PCI confusion monitored at present, one is that two adjacent cells with the same PCI exist in the adjacent cells, namely, the A case is monitored, and the other is that a base station with the same PCI exists in the adjacent cells and the same PCI exists in the adjacent cells is monitored, namely, the B case is monitored. The base station monitoring the condition A does not need to modify PCI itself; the base station for monitoring the B condition is divided into an event trigger party and an event receiver: after the event triggering monitors that PCI confusion is generated, the base station needs to modify the PCI itself; after the event receiver monitors the PCI confusion, a 2-minute PCI confusion timer is started, and if the confusion still exists after the time-out, the event receiver needs to modify the PCI.
Specifically, PCI self-decision under KPI indicator degradation: under different connection number densities, different KPI red line thresholds exist, and if the current comprehensive KPI is lower than the current red line threshold and the number of PCI (peripheral component interconnect) modification due to KPI deterioration is smaller than the modification threshold, the base station needs to modify the PCI.
Therefore, by the optimized self-judging 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 judged according to a certain criterion, so that the ping-pong effect caused by the bad judging criterion is avoided.
Example III
Referring to fig. 4, a PCI self-configuration self-optimizing apparatus includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the PCI self-configuration self-optimizing method of the first or second embodiment when executing the computer program.
In summary, the method and the device for self-configuring and self-optimizing the PCI provided by the invention collect and classify neighbor cell lists in two hops of a base station site, and because the PCI self-configuring is mainly to self-configure initial PCI when the base station is established, the PCI self-optimizing is mainly to adjust PCI in the operation process of the base station, the neighbor cell collection comprises establishing neighbor cell collection and in-operation neighbor cell collection, and can accurately acquire neighbor cell information of the current base station; when each distributed site detects that a site or a site neighbor cell is changed, whether the site itself needs to change the PCI is judged according to a certain criterion, if PCI optimization is to be performed, the PCI value is determined through a PCI selection algorithm of a multivariate model based on a neighbor cell list in two hops, PCI self-optimization is realized, the occurrence of PCI conflict and confusion is reduced, and therefore the network performance of the base station site is improved.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes made by the specification and drawings of the present invention, or direct or indirect application in the relevant art, are included in the scope of the present invention.
Claims (10)
1. A self-judging method for PCI configuration optimization in 5G network is characterized by comprising the following steps:
collecting neighbor cell lists in two hops of a base station site, and classifying the neighbor cell lists in the two hops;
if the station is detected to change or the adjacent area of the station is detected to change, performing self-judgment of PCI configuration optimization according to the PCI conflict or PCI confusion;
and if the monitor index of the station is detected to be deteriorated, performing self-decision of PCI configuration optimization according to the condition of the monitor index deterioration.
2. The method for self-judging PCI configuration optimization in a 5G network according to claim 1, wherein the self-judging PCI configuration optimization is performed according to the situation of PCI collision, comprising:
under the condition that a site bidirectional neighbor switch is started, when a sniffer discovers a new neighbor, or a terminal reports the new neighbor, or a bidirectional neighbor is manually added, an Xn interface establishment request is initiated to the new neighbor, and if PCI conflict is monitored after signaling interaction of the new neighbor, PCI configuration optimization is determined to be needed.
3. The method for self-judging PCI configuration optimization in 5G network according to claim 2, wherein the self-judging PCI configuration optimization is performed according to the situation of PCI collision, further comprising:
when a single neighbor cell is newly added, if the PCI conflict is detected, the PCI configuration optimization is determined to be needed.
4. The method for self-judging PCI configuration optimization in a 5G network according to claim 1, wherein the self-judging PCI configuration optimization is performed according to the situation of PCI collision, comprising:
when the station receives an Xn interface establishment request initiated by the neighbor cell, if PCI conflict is detected during signaling interaction, the station determines that PCI configuration optimization is not needed.
5. The method for self-judging PCI configuration optimization in a 5G network according to claim 4, wherein the self-judging PCI configuration optimization is performed according to the situation of PCI collision, further comprising:
when the station receives an Xn node update signaling sent by a neighbor cell due to parameter change and detects PCI conflict, if the monitoring index deterioration of the station is larger than or equal to a first threshold value, PCI configuration optimization is not performed, a PCI conflict timer with a first preset duration is started, and if the PCI conflict still exists after the first preset duration is exceeded, the PCI conflict is judged to be required to be performed;
if the monitor index deterioration of the station is smaller than the first threshold, the PCI configuration optimization is judged to be needed.
6. The method for self-judging PCI configuration optimization in a 5G network according to claim 1, wherein the self-judging PCI configuration optimization is performed according to the situation of PCI collision, comprising:
when the site PCI parameters or the site frequency point parameters are changed manually, if PCI conflict is detected, a PCI conflict timer with a second preset duration is started, and if the PCI conflict still exists after the second preset duration is exceeded, the PCI configuration optimization is judged to be needed.
7. The method for self-decision of PCI configuration optimization in a 5G network according to claim 1, wherein the self-decision of PCI configuration optimization is performed according to PCI confusion, comprising:
when the situation that two adjacent cells with the same PCI exist in the station is detected, the situation that PCI configuration optimization is not needed is judged.
8. The method for self-decision of PCI configuration optimization in a 5G network according to claim 7, wherein the self-decision of PCI configuration optimization is performed according to PCI confusion, further comprising:
when a base station with the same PCI as a site exists in a neighboring cell of the neighboring cell, if an event trigger side monitors that PCI confusion is generated, judging that PCI configuration optimization is needed;
if the event receiver monitors the PCI confusion, a PCI confusion timer with a first preset duration is started, and if the PCI confusion still exists after the first preset duration is exceeded, the PCI configuration optimization is judged to be needed.
9. The method for self-decision of PCI configuration optimization in a 5G network according to claim 1, wherein the self-decision of PCI configuration optimization is performed according to a condition that a monitor indicator is deteriorated, comprising:
if the current comprehensive KPI monitoring index is lower than the current red line threshold value and the number of PCI (peripheral component interconnect) modification times due to the degradation of the KPI monitoring index is lower than the modification threshold value, judging that PCI configuration optimization is needed.
10. A PCI configuration-optimized self-decision apparatus in a 5G network, comprising a memory, a processor and a computer program stored on said memory and executable on the processor, characterized in that said processor implements the steps of a PCI configuration-optimized self-decision method in a 5G network according to any one of claims 1 to 9 when said computer program is executed by said processor.
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