A self-determination method and device for PCI configuration optimization in a 5G network

Abstract

The application discloses a self-judgment method and device for PCI configuration optimization in a 5G network, collects and classifies a neighbor list within two hops of a base station site, performs self-judgment according to changes of the site and the neighbor list, judges whether to optimize the configuration of the PCI, and if the PCI optimization is to be performed, determines a PCI value based on the neighbor list within two hops through a multivariate model PCI selection algorithm, so that PCI self-optimization is realized, the occurrence of PCI conflict and confusion is reduced, and the network performance of the base station site is improved.

Description

[0001] The present case is a divisional application of the parent application with the application number 202110630168.0, the application date of June 7, 2021, and the name of “PCI self-configuration and self-optimization method and device”. TECHNICAL FIELD

[0002] The present application relates to the field of wireless communication technology, in particular to a self-determination method and device for PCI configuration optimization in a 5G network. BACKGROUND

[0003] With the large-scale promotion of 5G network construction, the situation of 5G sites changes exceptionally frequently, and the ultra-dense network will be a trend in the 5G communication system. The cell structure will be miniaturized and distributed, and the mutual cooperation between cells is becoming more and more important. With the substantial increase in sites, the complexity of network management far exceeds that of the existing Lte network, and network intelligence has become an urgent need to ensure the performance of the 5G network. SON (Self Organizing Network) will become an indispensable key technology for 5G.

[0004] SON refers to the self-organizing capability of the network, which mainly has three functions: self-configuration, self-optimization, and self-healing. The self-configuration function refers to the self-configuration of parameters during the establishment of the base station, which reduces manual intervention and reduces the cost of network construction. The self-optimization function refers to the adjustment of parameters by the network equipment according to its own operating conditions, so as to achieve the goal of optimizing the network performance. The purpose of the self-healing function is to eliminate or reduce the faults that can be solved through appropriate recovery processes.

[0005] PCI (Physical Cell Identities) self-configuration and self-optimization is part of the SON function. In the network, incorrect, chaotic, and poor PCI planning will affect signal synchronization, demodulation, and handover, and reduce network performance. The impact of PCI on network performance mainly includes the following aspects:

[0006] PCI conflict: please refer to Figure 1 PCI conflict refers to the use of the same PCI between two adjacent cells. If two adjacent cells use the same PCI, the terminal can only synchronize with one cell in the cross-coverage area, which will cause the following problems: delay of UE (User Equipment) in the overlapping coverage area; cause high block error rate, physical channel decoding failure; handover failure.

[0007] PCI confusion: please refer to Figure 2Two adjacent cells of a service cell cannot use the same PCI; when the PCIs are the same, the terminal cannot understand the target cell when switching out of the service cell, causing confusion.

[0008] PCI mod 3 interference: since the PCI is generated by the PSS (Primary Synchronization Signal, primary synchronization signal); there are only 3 PSS (0, 1, 2) in the network for cyclic utilization; the "PCI mod 3" of the cell is equal, and the PSS is also equal. This will affect the identification of the cell by the UE and the error of the channel estimation, which will affect the synchronization and user perception.

[0009] PCI mod 4 interference: in the 5G (NR) network, due to the DMRS (Demodulation Reference Signal, demodulation reference signal) on the PBCH (Physical Broadcast Channel, physical broadcast channel) channel subcarrier position; the subcarrier position carrying the DMRS follows the "divided by 4" principle; if the PCI divided by 4 results are the same between adjacent cells, the DMRS will interfere with each other, that is, mutual interference caused by the same position on the SSB (Synchronization Signal / PBCH, synchronization broadcast block).

[0010] PCI mod 30 interference: the DMRS and SRS (Sounding Reference Signal, channel sounding reference signal) on the PUCCH (Physical Uplink Control Channel, physical uplink control channel) / PUSCH (Physical Uplink Shared Channel, physical uplink shared channel) in the 5G (NR) network are generated according to the ZC sequence, and there are 30 groups for each root; their roots are related to the PCI; Therefore, adjacent cells cannot have the same "PCI divided by 30", otherwise uplink interference will occur between cells.

[0011] Currently, there is little research on PCI self-configuration and self-optimization in the industry, and basically only involves PCI self-configuration, and basically centralized management, which does not conform to the self-configuration and self-optimization idea of SON. SUMMARY

[0012] The technical problem to be solved by the present application is to provide a 5G network PCI configuration optimization self-determination method and device, which can improve the network performance of the base station site.

[0013] To solve the above technical problems, the technical scheme adopted by the present application is:

[0014] A 5G network PCI configuration optimization self-determination method, comprising the steps of:

[0015] collecting a list of neighboring cells within two hops of a base station site and classifying the list of neighboring cells within the two hops;

[0016] determining whether the PCI configuration of the site needs to be optimized based on changes in the site and its neighboring cells, and if so, determining a PCI value for the site based on the list of neighboring cells within the two hops using a multivariate model PCI selection algorithm.

[0017] To solve the above technical problems, another technical solution adopted by the present application is:

[0018] A self-determining device for PCI configuration optimization in a 5G network, comprising 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:

[0019] collecting a list of neighboring cells within two hops of a base station site and classifying the list of neighboring cells within the two hops;

[0020] determining whether the PCI configuration of the site needs to be optimized based on changes in the site and its neighboring cells, and if so, determining a PCI value for the site based on the list of neighboring cells within the two hops using a multivariate model PCI selection algorithm.

[0021] The present application has the beneficial effects of collecting and classifying a list of neighboring cells within two hops of a base station site, making a self-determination based on changes in the site and its neighboring cells to determine whether to optimize the PCI configuration, and if so, determining a PCI value based on the list of neighboring cells within the two hops using a multivariate model PCI selection algorithm to achieve PCI self-optimization, thereby reducing the occurrence of PCI conflicts and confusion and improving the network performance of the base station site. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 is a schematic diagram of PCI conflict;

[0023] Figure 2 is a schematic diagram of PCI confusion;

[0024] Figure 3 is a flowchart of a PCI self-configuration and self-optimization method according to an embodiment of the present application;

[0025] Figure 4 is a schematic diagram of a PCI self-configuration and self-optimization device according to an embodiment of the present application;

[0026] Figure 5 is a flowchart of collecting and classifying a list of neighboring cells when a base station is built according to a PCI self-configuration and self-optimization method according to an embodiment of the present application;

[0027] Figure 6 A flow chart of collecting and classifying the neighbor list for a base station of a PCI self-configuration and self-optimization method of an embodiment of the present application;

[0028] Figure 7 A flow chart of determining the PCI value of a site by a multi-element model PCI selection algorithm for a PCI self-configuration and self-optimization method of an embodiment of the present application. DETAILED DESCRIPTION

[0029] To make the technical content, the achieved purposes and effects of the present application clear, the following will be described in combination with the embodiments and the accompanying drawings.

[0030] Please refer to Figure 3 The embodiment of the present application provides a PCI self-configuration and self-optimization method, which comprises the following steps:

[0031] Collecting the neighbor list within two hops of a base station site, and classifying the neighbor list within the two hops;

[0032] Determining whether the PCI configuration of the site needs to be optimized according to the change of the site and its neighbors, and if yes, determining the PCI value of the site by a PCI selection algorithm of a multi-element model based on the neighbor list within the two hops.

[0033] From the above description, it can be seen that the embodiment of the present application has the following advantages: the neighbor list within two hops of a base station site is collected and classified, and self-determination is performed according to the change of the site and its neighbors to determine whether the PCI configuration needs to be optimized. If the PCI needs to be optimized, the PCI value is determined by a PCI selection algorithm of a multi-element model based on the neighbor list within the two hops of the site, so that PCI self-optimization is realized to reduce the occurrence of PCI conflict and confusion, thereby improving the network performance of the base station site.

[0034] Further, the collecting of the neighbor list within two hops of a base station site comprises:

[0035] Listening to the neighbor information within the coverage range when the base station site is built;

[0036] Establishing a signaling node for the listened neighbor, collecting a one-hop neighbor list of the site through the signaling node, and collecting a two-hop neighbor list of the site through the update signaling of the signaling node.

[0037] From the above description, it can be seen that the one-hop neighbor list of the site is collected through the signaling node when the base station is built, and the two-hop neighbor list of the site is collected through the update signaling of the signaling node, so that the initial PCI is self-configured when the base station is built.

[0038] Further, the collecting of the neighbor list within two hops of a base station site further comprises:

[0039] updating the one-hop neighbor list of the station through the signaling node of the station or updating the one-hop neighbor list of the station through the result of manual addition or deletion of the neighbor or updating the one-hop neighbor list of the station through the method of reporting the neighbor of the user equipment;

[0040] updating the two-hop neighbor list of the station through the updating signaling of the signaling node of the station.

[0041] As can be seen from the above description, when the base station is running, the neighbor list of the station can be updated through the signaling node or the result of manual addition or deletion of the neighbor or the result of reporting the neighbor of the user equipment, so as to ensure the accurate updating of the neighbor list and facilitate the subsequent PCI selection according to the updated neighbor list.

[0042] Further, judging whether the PCI configuration of the station needs to be optimized according to the change of the station and its neighbors includes:

[0043] detecting that the station changes or detecting that the change of the neighbor of the station causes conflict confusion or detecting that the monitoring index of the station deteriorates, and judging whether the PCI configuration of the station needs to be optimized.

[0044] As can be seen from the above description, according to the detected change of the station and its neighbors, it is judged whether the PCI configuration of the station needs to be optimized, so as to realize the self-judgment of the PCI configuration optimization, accurately perform the PCI optimization according to different change conditions and improve the network performance of the base station.

[0045] Further, determining the PCI value of the station through the PCI selection algorithm of the multivariate model based on the neighbor list within the two hops includes:

[0046] obtaining a first array of randomly arranged PCIs through the PCI selection algorithm;

[0047] removing the elements in the first array that are the same as the PCIs 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;

[0048] removing the elements in the second array that are the same as the PCIs 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;

[0049] importing the third array into the multivariate model of the one-hop neighbor to obtain a first optimal PCI array;

[0050] determining whether the number of elements of the first optimal PCI array is equal to 1, if yes, the value of the element in the first optimal PCI array is the PCI value of the station, if no, importing the first optimal PCI array into a multivariate model of the two-hop neighboring area to obtain a second optimal PCI array, and selecting the element with the minimum modulus of the second optimal PCI array as the PCI value of the station.

[0051] As can be seen from the above description, the PCI value of the station is selected from the first array of randomly arranged PCIs obtained by the PCI selection algorithm based on the neighboring area list within two hops, and the optimal PCI value is further selected as the PCI value of the station by importing the screened elements into the multivariate model of the neighboring area, so that the occurrence of PCI conflict and confusion is reduced, and the network performance of the base station is improved.

[0052] Please refer to Figure 4 Another embodiment of the present application provides a PCI self-configuration and self-optimization device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the following steps when executing the computer program:

[0053] collecting a neighboring area list within two hops of a base station, and classifying the neighboring area list within the two hops;

[0054] determining whether the PCI configuration of the station needs to be optimized according to the change of the station and its neighboring area, if yes, determining the PCI value of the station based on the PCI selection algorithm of the multivariate model and the neighboring area list within the two hops.

[0055] As can be seen from the above description, the neighboring area list within two hops of a base station is collected and classified, and whether the PCI configuration needs to be optimized is determined according to the change of the station and its neighboring area, if the PCI configuration needs to be optimized, the PCI value is determined based on the PCI selection algorithm of the multivariate model and the neighboring area list within two hops of the station, so that the PCI self-optimization is realized, the occurrence of PCI conflict and confusion is reduced, and the network performance of the base station is improved.

[0056] Further, the collection of the neighboring area list within two hops of a base station comprises:

[0057] listening to the neighboring area information within the coverage range when the base station is built;

[0058] establishing a signaling node for the listened neighboring area, collecting a one-hop neighboring area list of the station through the signaling node, and collecting a two-hop neighboring area list of the station through the update signaling of the signaling node.

[0059] From the above description, it can be known that the one-hop neighbor list of the station is collected through the signaling node when the base station is built, and the two-hop neighbor list of the station is collected through the updating signaling of the signaling node, so as to facilitate the self-configuration of the initial PCI when the base station is built.

[0060] Further, the collection of the neighbor list within the two hops of the base station further includes:

[0061] When the base station is running, the one-hop neighbor list of the station is updated through the signaling node of the station, or the one-hop neighbor list of the station is updated through the result of manual addition or reduction of the neighbor, or the one-hop neighbor list of the station is updated through the method of reporting the neighbor of the user equipment.

[0062] The two-hop neighbor list of the station is updated through the updating signaling of the signaling node of the station.

[0063] From the above description, it can be known that when the base station is running, the neighbor list of the station can be updated through the signaling node, the result of manual addition or reduction of the neighbor, or the result of reporting the neighbor of the user equipment, so as to ensure the accurate update of the neighbor list and facilitate the subsequent PCI selection according to the updated neighbor list.

[0064] Further, the judgment of whether the PCI configuration of the station needs to be optimized according to the change of the station and its neighbor includes:

[0065] When the change of the station is detected or the change of the neighbor of the station is detected to cause the conflict confusion or the monitoring index of the station is detected to deteriorate, it is judged whether the PCI configuration of the station needs to be optimized.

[0066] From the above description, it can be known that according to the change of the detected station and its neighbor, it is judged whether the PCI configuration of the station needs to be optimized, so as to realize the self-judgment of the PCI configuration optimization, accurately perform the PCI optimization according to different change conditions, and improve the network performance of the base station.

[0067] Further, the PCI value of the station is determined through the PCI selection algorithm of the multi-element model based on the neighbor list within the two hops, including:

[0068] The first array of randomly arranged PCI is obtained through the PCI selection algorithm;

[0069] The elements in the first array that are the same as the PCI of the one-hop neighbor list are removed to obtain a second array, and it is judged whether the second array is empty, if yes, the elements of the first array are assigned to the second array.

[0070] remove the same element as the two-hop neighbor list PCI in the second array to obtain a third array, and determine whether the third array is empty, if yes, the element of the second array is assigned to the third array;

[0071] Import the third array into the multivariate model of the one-hop neighbor to obtain a first optimal PCI array;

[0072] Determine whether the number of elements in the first optimal PCI array is equal to 1, if yes, the value of the element in the first optimal PCI array is the PCI value of the station, if not, import the first optimal PCI array into the multivariate model of the two-hop neighbor to obtain a second optimal PCI array, and select the element with the smallest modulus value in the second optimal PCI array as the PCI value of the station.

[0073] As can be seen from the above description, based on the neighbor list within two hops, the first array of randomly arranged PCI obtained by the PCI selection algorithm is subjected to element screening, and the screened elements are imported into the multivariate model of the neighbor, and the optimal PCI value is further selected as the PCI value of the station, which can reduce the occurrence of PCI conflict and confusion, and improve the network performance of the base station site.

[0074] The above-mentioned PCI self-configuration and self-optimization method and device are suitable for self-configuration and self-optimization of distributed base station sites, and can improve the network performance of the site, which will be described below through specific embodiments:

[0075] Embodiment one

[0076] Please refer to Figure 3 、 Figures 5 to 7 A PCI self-configuration and self-optimization method, comprising the steps of:

[0077] S1, collecting the neighbor list within two hops of the base station site, and classifying the neighbor list within two hops.

[0078] Specifically, PCI self-configuration mainly 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, so the neighbor collection includes the collection of the neighbor during the building of the station and the collection of the neighbor during the operation.

[0079] The collection of the neighbor list within two hops of the base station site includes:

[0080] Listen to the neighbor information in the coverage range when the base station is built;

[0081] Establish a signaling node for the listened neighbor, collect the one-hop neighbor list of the site through the signaling node, and collect the two-hop neighbor list of the site through the update signaling of the signaling node.

[0082] Specifically, please refer to Figure 5 After the base station is started, the sniffer function is used to detect the neighboring cell information in the coverage range, the neighboring cell is found, the Xn signaling establishment request is initiated actively, after the Xn signaling establishment is successful, the base stations on both sides inform each other of the neighboring cell information of the self through the Xn update signaling, the one-hop neighboring cell information, i.e., the information of the adjacent cell, is collected through the Xn establishment information, the two-hop neighboring cell information, i.e., the neighboring cell information of the adjacent cell, is collected through the Xn update signaling, and the one-hop neighboring cell list and the two-hop neighboring cell list are classified into three categories: the modulo 3 neighboring cell, the modulo 4 neighboring cell and the modulo 30 neighboring cell.

[0083] The collection of the neighboring cell list within two hops of the base station site further includes:

[0084] When the base station site is running, the one-hop neighboring cell list of the site is updated through the signaling node of the site, or the one-hop neighboring cell list of the site is updated through the result of manual addition or reduction of the neighboring cell, or the one-hop neighboring cell list of the site is updated through the method of reporting the neighboring cell by the user equipment;

[0085] The two-hop neighboring cell list of the site is updated through the update signaling of the signaling node of the site.

[0086] Specifically, please refer to Figure 6 During the running of the base station, the surrounding environment is complex and changeable, in the running process of the current base station, the one-hop neighboring cell information is collected through the following three ways: the Xn establishment request signaling, the UE neighboring cell reporting and the manual addition or reduction of the neighboring cell, and the two-hop neighboring cell information is collected through the Xn node update signaling. After the neighboring cell is collected, it is classified into the three categories of the modulo 3 neighboring cell, the modulo 4 neighboring cell and the modulo 30 neighboring cell defined when the base station is built.

[0087] S2, whether the PCI configuration of the site needs to be optimized is judged according to the change of the site and its neighboring cells, if yes, the PCI value of the site is determined through the PCI selection algorithm of the multivariate model based on the neighboring cell list within two hops.

[0088] The determination of the PCI value of the site through the PCI selection algorithm of the multivariate model based on the neighboring cell list within two hops includes:

[0089] A first array of randomly arranged PCIs is obtained through the PCI selection algorithm;

[0090] The elements in the first array that are the same as the PCIs of the one-hop neighboring cell list are removed to obtain a second array, whether the second array is empty is judged, if yes, the elements of the first array are assigned to the second array;

[0091] Remove the elements in the second array which are same as the two-hop neighbor list PCI to obtain a third array, and determine whether the third array is empty. If yes, assign the elements of the second array to the third array;

[0092] Import the third array into the one-hop neighbor multi-element model to obtain a first optimal PCI array;

[0093] Determine whether the number of elements in the first optimal PCI array is equal to 1. If yes, the value of the element in the first optimal PCI array is the PCI value of the station. If no, import the first optimal PCI array into the two-hop neighbor multi-element model to obtain a second optimal PCI array, and select the element with the smallest modulus value in the second optimal PCI array as the PCI value of the station.

[0094] Specifically, refer to Figure 7 When the base station determines to modify its own PCI, generate array A through the PCI selection algorithm, and randomly sort the 1008 PCIs in array A to generate array B;

[0095] According to the one-hop neighbor list, exclude the elements in array B which are equal to the one-hop neighbor PCI to obtain array C. If array C is empty, assign array B to array C;

[0096] According to the two-hop neighbor list, exclude the elements in array C which are equal to the two-hop neighbor PCI to obtain array D. If array D is empty, assign array C to array D.

[0097] Import the elements in array D into the one-hop neighbor multi-element model. In this embodiment, the multi-element model is a three-element model, including a modulo 3 element, a modulo 4 element and a modulo 30 element, to obtain a group of optimal PCI arrays E:

[0098] k1=αx+βy+γz;

[0099] In the formula, x represents the number of input PCI modulo 30 neighbor areas, y represents the number of modulo 4 neighbor areas, z represents the number of modulo 3 neighbor areas, α represents the modulo 30 parameter, the initial value is 0.7, β represents the modulo 4 parameter, the initial value is 0.15, γ represents the modulo 3 parameter, the initial value is 0.15, k represents the modulus, and the smaller the PCI is.

[0100] If the number of elements in array E is 1, the PCI selection ends, and the final PCI is the element in array E. If the number of array elements is greater than 1, enter the next process.

[0101] Import the elements in array E into the two-hop neighbor three-element model k2=αx+βy+γz to obtain a group of optimal PCI arrays F, and select the element with the smallest modulus value k2 in array F as the PCI value of the station.

[0102] Wherein, the base station will dynamically adjust the parameters of the multiple model according to the current different KPI indicators. When the relevant uplink indicators continue to deteriorate, the value of a is increased, and the value of a does not exceed 1; when the relevant downlink indicators deteriorate, the value of b is increased, and the value of b does not exceed 0.5. The step of each adjustment is 0.01, and the sum of a, b and g is 1.

[0103] Therefore, in the embodiment, the parameters of the multiple model are dynamically adjusted according to the current KPI indicators, the modulus calculation can be accurately performed, and then the optimal PCI value is obtained, which can improve the accuracy of PCI optimization and improve the network performance of the site.

[0104] Embodiment two

[0105] The difference between the embodiment and the embodiment one is that how to judge whether the PCI configuration optimization is performed is further limited, and specifically:

[0106] According to the change of the site and its adjacent area, whether the PCI configuration of the site needs to be optimized includes:

[0107] When it is detected that the site changes or it is detected that the adjacent area of the site changes to cause conflict confusion or it is detected that the monitoring indicators of the site deteriorate, whether the PCI configuration of the site needs to be optimized is judged.

[0108] The change of the site refers to the change of the site parameters, including but not limited to manual change of site PCI, site frequency point, site bidirectional adjacent area switch, manual change of adjacent area list and UE adjacent area report change of adjacent area list.

[0109] The change of the adjacent area refers to the addition of the adjacent area or the change of the adjacent area parameters, and the adjacent area parameters include the PCI of the adjacent area, the frequency point of the adjacent area and the adjacent area list of the adjacent area.

[0110] In the embodiment, the PCI configuration optimization self-determination mainly refers to that when the distributed sites detect that the PCI needs to be changed, whether the PCI needs to be changed according to certain criteria. The base station needs to select a PCI when it is built. Therefore, the PCI configuration optimization self-determination mainly occurs when the PCI is self-optimized. When the site monitors that the PCI conflict occurs, the PCI confusion occurs and the KPI indicators deteriorate, for example, the comprehensive KPI is less than 80%, the PCI configuration optimization determination process is started.

[0111] Specifically, the PCI self-determination under the PCI conflict: the PCI conflict occurs in the following several cases:

[0112] (1) Station initiatively triggers PCI conflict by Xn establishment: When sniffer discovers a new neighbor, or UE reports a new neighbor, or manually adds a bidirectional neighbor, the station initiates an Xn establishment request to the new neighbor, and after signaling interaction with the new neighbor, PCI conflict may be detected. When this type of PCI conflict is triggered, the base station itself needs to modify the PCI.

[0113] (2) Station passively receives Xn establishment triggered PCI conflict: When the station receives an Xn establishment request initiated by a neighbor, PCI conflict may be detected through signaling interaction. When this type of PCI conflict is triggered, the PCI of the station itself does not need to be modified.

[0114] (3) Station passively receives Xn node update signaling triggered PCI conflict: When the parameters of a neighbor change, the station will be notified through Xn node update signaling. When the station receives this type of signaling, PCI conflict may be detected. When this type of PCI conflict is triggered, the current KPI comprehensive index is judged. If it is greater than or equal to 95%, the PCI is temporarily not modified, and a 2-minute PCI conflict timer is started. If the PCI conflict still exists after the timer expires, the base station itself needs to modify the PCI. If the KPI comprehensive index is less than 95%, the base station itself needs to modify the PCI. The ratio of KPI can be configured.

[0115] (4) Station PCI parameter change triggers PCI conflict: When the station PCI parameter is manually changed, PCI conflict may be detected. When this type of PCI conflict is triggered, a 1-minute PCI conflict timer is started. If the PCI conflict still exists after the timer expires, the base station itself needs to modify the PCI.

[0116] (5) Station neighbor list change triggers PCI conflict: When a unidirectional neighbor is added, PCI conflict may exist. When this type of PCI conflict is triggered, the base station itself needs to modify the PCI.

[0117] (6) Station frequency point parameter change triggers PCI conflict: When the station frequency point parameter is manually changed, PCI conflict may be detected. When this type of PCI conflict is triggered, a 1-minute PCI conflict timer is started. If the PCI conflict still exists after the timer expires, the base station itself needs to modify the PCI.

[0118] Specifically, PCI self-judgment under PCI confusion: there are two cases of monitoring PCI confusion, one is monitoring that there are two PCI adjacent areas of the same PCI, referred to as case A, and the other is monitoring that the adjacent area of the adjacent area has a base station with the same PCI as itself, referred to as case B. The base station monitoring case A does not need to modify the PCI itself; the base station monitoring case B is divided into event triggering and event receiving: the event triggering base station needs to modify the PCI after monitoring that PCI confusion occurs; the event receiving base station needs to modify the PCI after monitoring that PCI confusion occurs. If the confusion still exists after the 2-minute PCI confusion timer expires, the base station itself needs to modify the PCI.

[0119] Specifically, PCI self-judgment under KPI index deterioration: there are different KPI index red line thresholds under different connection density, and if the current comprehensive KPI index is lower than the current red line threshold and the number of times of modifying the PCI due to KPI deterioration is less than the modification threshold, the base station itself needs to modify the PCI.

[0120] Therefore, by using the optimization self-judgment method in the embodiment, when the distributed sites detect that the PCI needs to be changed, it is determined according to certain criteria whether the PCI needs to be changed by the site itself, so as to avoid the ping-pong effect caused by a bad judgment criterion.

[0121] Embodiment three

[0122] Please refer to Figure 4 A device for PCI self-configuration and self-optimization, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements each step of the PCI self-configuration and self-optimization method of embodiment one or embodiment two when executing the computer program.

[0123] In summary, the PCI self-configuration and self-optimization method and device provided by the application collect and classify the adjacent area list within two hops of the base station site. Since PCI self-configuration is mainly to configure the initial PCI when the base station is built, and PCI self-optimization is mainly to adjust the PCI during the operation of the base station, the adjacent area collection includes the adjacent area collection during the building and the adjacent area collection during the operation, so that the adjacent area information of the current base station can be accurately obtained. When the distributed sites detect that a site or a site adjacent area is changed, it is determined according to certain criteria whether the site itself needs to change the PCI. If PCI optimization is required, the PCI value is determined based on the adjacent area list within two hops by using a multivariate model PCI selection algorithm, so as to realize PCI self-optimization, reduce the occurrence of PCI conflict and confusion, and improve the network performance of the base station site.

[0124] The above merely illustrates the embodiments of the present application, and is not intended to limit the patent scope of the present application. Any equivalent transformation or direct or indirect application in the related technical field based on the content of the present application specification and drawings is also included in the patent protection scope of the present application.

Claims

1. A self-determination method for PCI configuration optimization in a 5G network, characterized in that, The method comprises the steps of: collecting a list of neighboring cells within two hops of a base station site and classifying the list of neighboring cells within the two hops; making a self-judgment of PCI configuration optimization according to a PCI conflict situation when detecting a change in the site or detecting a change in a site neighboring cell; making a self-judgment of PCI configuration optimization according to a PCI confusion situation; the self-judgment of PCI configuration optimization refers to that, when detecting that a PCI needs to be changed, each site in distribution makes a judgment according to certain criteria whether the site itself needs to change the PCI; the self-judgment of PCI configuration optimization according to a PCI conflict situation comprises: when a new neighboring cell is found by a sniffer or a new neighboring cell is reported by a terminal or a new bidirectional neighboring cell is manually added under the condition that a bidirectional neighboring cell switch of the site is turned on, an Xn interface establishment request is initiated to the new neighboring cell, and if a PCI conflict is monitored after signaling interaction of the new neighboring cell, it is determined that PCI configuration optimization is needed; when a unidirectional neighboring cell is added, if a PCI conflict is detected, it is determined that PCI configuration optimization is needed; when the site receives an Xn interface establishment request initiated by a neighboring cell, if a PCI conflict is detected during signaling interaction, it is determined that PCI configuration optimization is not needed; when the site receives Xn node update signaling sent by a neighboring cell due to parameter change and a PCI conflict is detected, if a comprehensive KPI monitoring index of the site is greater than or equal to a first threshold value, PCI configuration optimization is not performed, a PCI conflict timer of a first preset duration is started, and if the PCI conflict still exists after the first preset duration, it is determined that PCI configuration optimization is needed; if the comprehensive KPI monitoring index of the site is less than the first threshold value, it is determined that PCI configuration optimization is needed; when a site PCI parameter or a site frequency point parameter is manually changed, if a PCI conflict is detected, a PCI conflict timer of a second preset duration is started, and if the PCI conflict still exists after the second preset duration, it is determined that PCI configuration optimization is needed; the self-judgment of PCI configuration optimization according to a PCI confusion situation comprises: when it is monitored that there are two neighboring cells of the site with the same PCI, it is determined that PCI configuration optimization is not needed; when it is monitored that a neighboring cell of a neighboring cell of the site has a base station with the same PCI as the site itself, if a PCI confusion is monitored by an event triggerer, it is determined that PCI configuration optimization is needed; if a PCI confusion is monitored by an event receiver, a PCI confusion timer of a first preset duration is started, and if the PCI confusion still exists after the first preset duration, it is determined that PCI configuration optimization is needed; the self-judgment of PCI configuration optimization according to a monitoring index deterioration situation comprises: 2.The self-determination method for PCI configuration optimization in a 5G network according to claim 1, wherein, if a current comprehensive KPI monitoring index is lower than a current red line threshold value and a number of times of modifying the PCI due to KPI monitoring index deterioration is less than a modification threshold value, it is determined that PCI configuration optimization is needed. ​ 3.A self-determination device for PCI configuration optimization in a 5G network, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein, The processor implements each step of the self-determination method for PCI configuration optimization in a 5G network according to any one of claims 1-2 when executing the computer program.

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