CN116419154A - Fingerprint map construction method, platform and storage medium - Google Patents

Fingerprint map construction method, platform and storage medium Download PDF

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Publication number
CN116419154A
CN116419154A CN202111659122.8A CN202111659122A CN116419154A CN 116419154 A CN116419154 A CN 116419154A CN 202111659122 A CN202111659122 A CN 202111659122A CN 116419154 A CN116419154 A CN 116419154A
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grid
fingerprint map
cell
same
wireless
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吴杰
李男
韩延涛
胡臻平
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/021Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • H04B17/318Received signal strength
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/10Scheduling measurement reports ; Arrangements for measurement reports
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/029Location-based management or tracking services

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Abstract

The invention discloses a fingerprint map construction method, a platform and a storage medium, comprising the following steps: acquiring data reported by terminal equipment and a base station; and constructing a fingerprint map in the coverage area of the service cell according to the reported data, wherein the fingerprint map is composed of grids, the acquired signal strength or signal quality information of the wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, and for each grid, the acquired data reported by the terminal equipment at the position are used for representing the wireless environment information of the terminal equipment of the grid, and the acquired data reported by the base station at the position are used for representing the influence information of the different same-frequency neighboring cells on the wireless environment of the terminal equipment of the grid. By adopting the method, the wireless fingerprint map based on the virtual grid is constructed, and the terminal is not required to acquire the geographic position information; the method can realize the construction and updating of the configurable and flexible cell-level wireless fingerprint map based on application requirements without the aid of information reported by the terminal during a cell change event.

Description

Fingerprint map construction method, platform and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a fingerprint map construction method, a platform, and a storage medium.
Background
The current fingerprint map construction method needs to generate position information in an environment in advance, and then needs to match wireless information with the position information by assistance of a terminal so as to construct a wireless fingerprint map. Or constructing a wireless fingerprint map formed by virtual grids, and taking the signal strength or signal quality indication information of wireless signals as the position indication of the grids without acquiring the geographic position information of the terminal. However, the method needs to construct a wireless fingerprint map by means of the information reported by the terminal during the cell change event, and the wireless fingerprint map cannot be updated in time according to the application requirements, and the personalized wireless fingerprint map cannot be customized for the cell.
The prior art has the following defects: the wireless fingerprint map based on the geographic position information needs to acquire the geographic position information of the environment, and the wireless fingerprint map construction method based on the virtual grid needs to report information by means of the terminal when the cell changes an event.
Disclosure of Invention
The invention provides a fingerprint map construction method, a fingerprint map construction platform and a fingerprint map storage medium, which are used for solving the problem that geographical position information of an environment needs to be acquired or information needs to be reported by a terminal during a cell change event.
The invention provides the following technical scheme:
a fingerprint map construction method comprises the following steps:
acquiring signal strength or signal quality information of wireless signals of a serving cell and a same-frequency neighbor cell from data reported by a terminal device and a base station, and data reported by the terminal device and data reported by the base station;
and constructing a fingerprint map in the coverage area of the service cell according to the reported data, wherein the fingerprint map is composed of grids, the acquired signal strength or signal quality information of the wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, for each grid, the acquired data reported by the terminal equipment at the position is used for indicating the wireless environment information of the terminal equipment of the grid, and the acquired data reported by the base station at the position is used for indicating the influence information of the wireless environment of the terminal equipment of the grid, which is caused by different same-frequency neighboring cells.
In the implementation, the data reported by the terminal equipment and the base station are obtained from the historical data collected by the OAM.
In implementation, the data used to represent the wireless environment information of the terminal device of the grid includes one or a combination of the following data fed back by the UE:
CQI、MCS、SINR、ACK、NACK。
in implementation, the data used for representing the influence information of different co-frequency adjacent cells on the wireless environment where the terminal equipment of the grid is located includes one or a combination of the following data fed back by the base station:
The PRB allocation bitmap of the serving cell, the PRB allocation bitmap of the same-frequency neighbor cell, the PRB utilization rate of the serving cell and the PRB utilization rate of the same-frequency neighbor cell.
In the implementation, in the fingerprint map formed by the grids, the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighbor cell are divided into intervals according to a preset step length.
In the implementation, when the RSRP is divided into sections according to a preset step length, the value range of the RSRP is divided into a plurality of sections according to the determined step length.
In practice, further comprising:
and determining the index value of the grid according to the selected same-frequency neighbor cell, the beam information and the RSRP value interval and interval number.
In practice, the co-frequency neighbor cell selected by each grid is determined according to one or a combination of the following modes:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
In implementation, when one or a combination of the following conditions occurs, acquiring data reported by the terminal equipment and the base station to update the fingerprint map:
the difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
The difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
the same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
the fingerprint is mapped more than a predetermined time from the last time.
In practice, the updating of the fingerprint map is initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform.
A wireless intelligent management platform, comprising:
a processor for reading the program in the memory, performing the following process:
acquiring signal strength or signal quality information of wireless signals of a serving cell and a same-frequency neighbor cell from data reported by a terminal device and a base station, and data reported by the terminal device and data reported by the base station;
constructing a fingerprint map in a coverage area of a service cell according to the reported data, wherein the fingerprint map is composed of grids, the acquired signal strength or signal quality information of wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, for each grid, the acquired data reported by terminal equipment at the position is used for representing wireless environment information of the terminal equipment of the grid, and the acquired data reported by a base station at the position is used for representing influence information of different same-frequency neighboring cells on the wireless environment of the terminal equipment of the grid;
And a transceiver for receiving and transmitting data under the control of the processor.
In the implementation, the data reported by the terminal equipment and the base station are obtained from the historical data collected by the OAM.
In implementation, the data used to represent the wireless environment information of the terminal device of the grid includes one or a combination of the following data fed back by the UE:
CQI、MCS、SINR、ACK、NACK。
in implementation, the data used for representing the influence information of different co-frequency adjacent cells on the wireless environment where the terminal equipment of the grid is located includes one or a combination of the following data fed back by the base station:
the PRB allocation bitmap of the serving cell, the PRB allocation bitmap of the same-frequency neighbor cell, the PRB utilization rate of the serving cell and the PRB utilization rate of the same-frequency neighbor cell.
In the implementation, in the fingerprint map formed by the grids, the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighbor cell are divided into intervals according to a preset step length.
In the implementation, when the RSRP is divided into sections according to a preset step length, the value range of the RSRP is divided into a plurality of sections according to the determined step length.
In practice, further comprising:
and determining the index value of the grid according to the selected same-frequency neighbor cell, the beam information and the RSRP value interval and interval number.
In practice, the co-frequency neighbor cell selected by each grid is determined according to one or a combination of the following modes:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
In implementation, when one or a combination of the following conditions occurs, acquiring data reported by the terminal equipment and the base station to update the fingerprint map:
the difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
the difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
the same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
the fingerprint is mapped more than a predetermined time from the last time.
In practice, the updating of the fingerprint map is initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform.
A wireless intelligent management platform, comprising:
the data module is used for acquiring signal strength or signal quality information of wireless signals of the serving cell and the same-frequency neighbor cell from data reported by the terminal equipment and the base station, and the data reported by the terminal equipment and the base station;
The map module is used for constructing a fingerprint map in the coverage area of the service cell according to the reported data, wherein the fingerprint map is composed of grids, the obtained signal strength or signal quality information of the wireless signals of the service cell and the same-frequency neighbor cells is used as a position indication of the grids, for each grid, the obtained data reported by the terminal equipment at the position are used for representing the wireless environment information of the terminal equipment of the grid, and the obtained data reported by the base station at the position are used for representing the influence information of the different same-frequency neighbor cells on the wireless environment of the terminal equipment of the grid.
In implementation, the data module is further configured to obtain data reported by the terminal device and the base station from the historical data collected by the OAM.
In implementation, the data module is further configured to obtain data including one or a combination of the following data fed back by the UE, where the data is used to represent wireless environment information of the terminal device of the grid:
CQI、MCS、SINR、ACK、NACK。
in an implementation, the data module is further configured to obtain data including one or a combination of the following data fed back by the base station, where the data is used to represent information about influence of different co-frequency neighboring cells on a wireless environment where the terminal device of the grid is located:
the PRB allocation bitmap of the serving cell, the PRB allocation bitmap of the same-frequency neighbor cell, the PRB utilization rate of the serving cell and the PRB utilization rate of the same-frequency neighbor cell.
In implementation, the map module is further configured to divide the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighboring cell into intervals according to a preset step size in the fingerprint map formed by the grids.
In implementation, the map module is further configured to divide the value range of the RSRP into a plurality of sections according to the determined step length when the map module is further configured to divide the section into sections according to the preset step length.
In implementation, the map module is further configured to determine an index value of the grid according to the selected co-frequency neighboring cell, the beam information, and the RSRP value interval and the interval number.
In an implementation, the map module is further configured to determine the co-frequency neighboring area selected by each grid according to one or a combination of the following manners:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
In implementation, the data module is further configured to obtain data reported by the terminal device and the base station to update the fingerprint map when one or a combination of the following conditions occur:
the difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
The difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
the same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
the fingerprint is mapped more than a predetermined time from the last time.
In implementation, the data module is further used for updating the fingerprint map initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform.
A computer readable storage medium storing a computer program which when executed by a processor implements the fingerprint map construction method described above.
The invention has the following beneficial effects:
in the technical scheme provided by the embodiment of the invention, a wireless fingerprint map based on a virtual grid is constructed, and the obtained signal strength or signal quality information of the wireless signals of the serving cell and the same-frequency neighbor cell is used as the position indication of the grid, so that the terminal is not required to obtain the geographic position information; the acquired data reported by the terminal equipment at the position are used for representing the wireless environment information of the terminal equipment of the grid, the acquired data reported by the base station at the position are used for representing the influence information of different same-frequency adjacent cells on the wireless environment of the terminal equipment of the grid, and the matching of the wireless environment of the terminal and the wireless information is realized by acquiring the signal strength indication values of the serving cell and the same-frequency adjacent cells, so that the information reported by the terminal in a cell change event is not needed;
Furthermore, because the construction of the fingerprint map can be realized based on the wireless intelligent management platform and the wireless intelligent control platform, the construction and updating of the configurable and flexible wireless fingerprint map can be realized based on application requirements;
furthermore, the wireless intelligent management platform establishes a construction strategy of the wireless fingerprint map meeting the requirements of each cell according to the application requirements, and collects and processes data, so that cell-level wireless fingerprint map construction and updating can be realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a schematic diagram of an implementation flow of a method for constructing a finger print map in an embodiment of the invention;
FIG. 2 is a schematic diagram of a wireless fingerprint map according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a wireless fingerprint map construction and update implementation flow in an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating interaction between a wireless fingerprint map building module and other modules in an embodiment of the present invention;
fig. 5 is a schematic diagram of secondary cell selection in an embodiment of the present invention;
Fig. 6 is a schematic structural diagram of a wireless intelligent management platform according to an embodiment of the present invention.
Detailed Description
The inventors noted during the course of the invention that:
the existing wireless fingerprint map construction method has the following problems:
1. wireless fingerprint map based on geographic location information: the geographic position information of the environment needs to be acquired, and meanwhile, the terminal is needed to assist in information matching;
2. the method for constructing the wireless fingerprint map based on the virtual grid comprises the following steps: the wireless fingerprint map is constructed by the information reported by the terminal during the cell change event, and cannot be updated in time according to the application requirement, and the individual wireless fingerprint map cannot be customized for the cell.
In view of the above problems, the solution provided by the embodiments of the present invention is at least one of the following aspects:
1. constructing a wireless fingerprint map based on a virtual grid, acquiring geographic position information without a terminal, and realizing the matching of the wireless environment where the terminal is positioned and the wireless information by acquiring signal strength indication values of a service cell and the same-frequency neighbor cells of the service cell;
2. based on a wireless intelligent management platform (Non-Real Time RIC) and a wireless intelligent control platform (Near-Real Time RAN Intelligent Controller (RIC)), the construction and updating of the configurable and flexible wireless fingerprint map are realized based on application requirements;
3. The wireless intelligent management platform establishes a construction strategy of a wireless fingerprint map meeting the requirements of each cell according to the application requirements, and performs data acquisition and processing to realize cell-level wireless fingerprint map construction and updating;
4. the wireless intelligent control platform sends data measurement and reporting requirements to the cell based on a strategy formulated by the wireless intelligent management platform.
The following describes specific embodiments of the present invention with reference to the drawings.
FIG. 1 is a schematic flow chart of a fingerprint map construction method, which may include:
step 101, acquiring signal strength or signal quality information of wireless signals of a serving cell and a same-frequency neighbor cell from data reported by a terminal device and a base station, and the data reported by the terminal device and the data reported by the base station;
step 102, constructing a fingerprint map in a coverage area of a service cell according to the reported data, wherein the fingerprint map is composed of grids, the obtained signal strength or signal quality information of wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, for each grid, the obtained data reported by terminal equipment at the position is used for representing wireless environment information of the terminal equipment of the grid, and the obtained data reported by a base station at the position is used for representing influence information of different same-frequency neighboring cells on the wireless environment of the terminal equipment of the grid.
Fig. 2 is a schematic diagram of a wireless fingerprint map, and as shown in the drawing, the wireless fingerprint map is constructed and updated in the scheme, and the wireless fingerprint map can represent a wireless channel environment of a "location" where a terminal is located, where the "location" can be a geographic location or a virtual location represented by a specific numerical value. As shown in fig. 2, the serving cell characterizes the wireless environment within the coverage area of the serving cell as a wireless fingerprint map composed of grids according to the signal strength or signal quality values of the serving cell and a plurality of (two in the example) co-frequency neighbor cells fed back by the UE (User Equipment) accessing the serving cell, and each grid stores a measured value capable of characterizing the wireless environment. The wireless intelligence application may describe or predict the wireless environment over a period of time based on historical data maintained within the grid.
Fig. 3 is a schematic diagram of a wireless fingerprint map construction and update implementation process, and as shown in the drawing, the following description will be divided into several parts, and it should be noted that the division is only for understanding and description, and is not an implementation step of the scheme itself or a necessary implementation part.
The wireless fingerprint map construction and updating can comprise the following parts:
1: and collecting data required for constructing (or updating) the wireless fingerprint map.
And aiming at each cell, collecting data reported by the terminal equipment and the base station, and constructing a wireless fingerprint map for the cell. The information reported by the terminal device includes, but is not limited to:
1) The signal intensity values of the service cell and the same-frequency neighbor cell are used for representing the 'position' of the terminal equipment;
2) The data representing the wireless environment information of the terminal equipment of the grid comprises one or a combination of the following data fed back by the UE:
CQI、MCS、SINR、ACK、NACK。
specifically, CQI (channel quality indicator ), MCS (modulation and coding scheme, modulation and coding scheme), SINR (signal-to-interference plus noise ratio), ACK (Acknowledgement), NACK (negative Acknowledgement ) and the like fed back by the UE are used to represent the radio environment information in which the terminal device is located.
3) The data used for representing the influence information of different co-frequency adjacent cells on the wireless environment where the terminal equipment of the grid is located comprises one or a combination of the following data fed back by the base station:
the PRB allocation bitmap of the serving cell, the PRB allocation bitmap of the same-frequency neighbor cell, the PRB utilization rate of the serving cell and the PRB utilization rate of the same-frequency neighbor cell.
Specifically, the information reported by the base station includes, but is not limited to, allocation bitmaps or PRB utilization rates of the serving cell and the co-frequency neighbor PRBs (physical resource blocks, physical Resource Block), which are used to characterize the use of radio resources by different co-frequency neighbor cells and influence on the radio environment.
2: the grid size and index are determined (or updated).
For each cell, determining or updating the size and index of each grid according to the acquired signal intensity values of the serving cell and the same-frequency neighbor cells, and auxiliary cell selection schemes, auxiliary cell quantity information and grid construction step length specified in a wireless fingerprint map construction or updating strategy.
In the implementation, in the fingerprint map formed by the grids, the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighbor cell are divided into intervals according to a preset step length.
Specifically, the rasterization is based on the serving cell and the co-frequency neighbor cell RSRP (reference signal received power ). Dividing the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighbor cell into a plurality of intervals according to a certain step length, such as 10 dBm. Each virtual grid represents a logical space within the range of the serving cell RSRP and the co-frequency neighbor RSRP intervals and is uniquely indexed by a combination of the cell IDs and RSRP segment numbers of the serving cell and the co-frequency neighbor.
3: the grid properties are determined (or updated).
For each cell, the collected historical data is processed using methods such as statistical averaging, machine learning, etc., and then each grid location is stored or updated:
1) CQI, MCS, SINR, ACK, NACK fed back by the terminal under the serving cell, etc.;
2) PRB allocation bitmaps or PRB utilization rates of the serving cell and the same-frequency neighbor cells;
as an attribute of each grid.
Typically, once a wireless fingerprint map is established, the size and index of the grid need not be updated later unless the cell configuration changes, such as a change in downlink transmit power resulting in a change in coverage and RSRP range, or a change in wireless fingerprint map configuration, such as a step change, or a change in grid attribute configuration.
Fig. 4 is an interaction schematic diagram of a wireless fingerprint map building module and other modules, and at least a network element capable of realizing fingerprint map building is a wireless intelligent management platform, and the architecture is shown as follows:
wireless intelligent management platform:
1) Acquiring a wireless fingerprint map construction strategy from a strategy customization module, wherein the wireless fingerprint map construction strategy comprises the following steps: cell ID (identification) of a wireless fingerprint map to be built, an auxiliary cell selection method, a grid construction step length, the number (or minimum value and maximum value) of auxiliary cells, an RSRP threshold value and data stored in a grid;
2) The data reported by the terminal equipment and the base station are obtained from the historical data collected by the OAM.
Acquiring the receiving quality values of reference signals such as RSRP or RSRQ (reference signal receiving quality, reference signal received quality) fed back by the serving cell and the same-frequency neighbor cells thereof from OAM (operation administration maintenance, operation Administration and Maintenance), and the data such as CQI, downlink MCS, uplink MCS, SINR, ACK, NACK, PRB utilization rate, PRB allocation bitmap and the like fed back by the UE of the serving cell;
3) According to a wireless fingerprint map construction strategy and a receiving quality value of a reference signal sent by a terminal, constructing a wireless fingerprint map grid according to a grid index value determination scheme;
4) Storing CQI, downlink MCS, uplink MCS, SINR, ACK, NACK, PRB utilization rate, PRB allocation bitmap and other data or the result after processing the data into a grid to complete the construction of a wireless fingerprint map;
5) The wireless intelligent management platform sends the wireless fingerprint map to the wireless intelligent control platform through the A1 interface.
Wireless intelligent control platform:
receiving a strategy sent by a wireless intelligent management platform through an A1 interface, wherein the strategy instructs the wireless intelligent control platform to send data measurement and reporting requirements to a base station, and the requirements comprise a measurement period, a measurement quantity, measurement report configuration and the like;
Sending data measurement and reporting requirements to a base station through an E2 interface;
and receiving the wireless fingerprint map sent by the wireless intelligent management platform through the A1 interface, and realizing intelligent application.
The following describes a wireless fingerprint map construction implementation scheme.
The wireless fingerprint map is composed of grids and is constructed by taking cells as units. The construction of the wireless fingerprint map includes two parts of content, namely grid index value representation and in-grid data processing.
1. The grid index value represents.
In the implementation, the index value of the grid is determined according to the selected same-frequency adjacent region, the beam information and the RSRP value interval and interval number.
Specifically, the grid index value may be expressed based on a downlink RSRP or RSRQ value fed back by the serving cell and the UEs in a certain number of co-frequency neighbors. The RSRP value range is divided into a plurality of value intervals, each interval is given a unique interval number, and then the index value of the grid is the combination of RSRP interval numbers, cell IDs and beam IDs of the referenced cells, i.e., the serving cell and the auxiliary cell (a certain number of co-frequency neighbor cells). Therefore, the grid index value represents the selection of the related auxiliary cell, the beam information and the RSRP value interval and interval number determination.
2. And (5) auxiliary cell selection.
In practice, the co-frequency neighbor cell selected by each grid is determined according to one or a combination of the following modes:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
Specifically, fig. 5 is a schematic diagram of auxiliary cell selection, and RSRP values of co-frequency neighboring cells need to be considered in the construction of a serving cell wireless fingerprint map. However, as shown in fig. 5, the coverage areas of the co-frequency neighboring cells (C1, C2, C3) do not necessarily all include the coverage area of the serving cell (P), so the construction of the wireless fingerprint map of the serving cell requires assistance of different co-frequency neighboring cells.
The selection of the auxiliary cells can be achieved by acquiring parameters and information such as an auxiliary cell selection method, the number (or minimum value and maximum value) of the auxiliary cells and the like from a strategy formulation module through a wireless intelligent management platform.
The auxiliary cell selection method can be to select several same-frequency adjacent cells with the largest RSRP value, or the same-frequency adjacent cells with the RSRP value larger than a threshold value, or several nearest same-frequency adjacent cells from a service cell.
The auxiliary cell number (or minimum, maximum) parameter values are exemplified by the following table:
data item Data type Calculation method Numerical value
Number of secondary cells Shaping device Setting value 3
Maximum number of secondary cells Shaping device Setting value 5
Minimum number of secondary cells Shaping device Setting value 1
And when the number of the auxiliary cells is smaller than the number value (or the minimum value), the wireless fingerprint map construction condition is not met. And (3) performing auxiliary cell selection beyond the upper limit of the number of the auxiliary cells, wherein the auxiliary cell selection process is as follows:
counting RSRP values of the same-frequency neighbor cells reported by UE in all service cells and cell IDs thereof;
if the number of secondary cells is set, then:
sequencing the RSRP values of the same-frequency neighbor cells reported by the UE, limiting the number value of the auxiliary cells, and taking the same-frequency neighbor cell with the largest RSRP value as the auxiliary cell;
or taking the same-frequency neighbor cells with the RSRP value larger than the threshold value and meeting the number of the auxiliary cells as the auxiliary cells, wherein the same-frequency neighbor cells with the maximum RSRP value are selected as the auxiliary cells;
if the number of secondary cells is not set, then:
if the RSRP threshold is set, selecting the same-frequency adjacent cells of which the RSRP value meets the RSRP threshold, and if the number of the same-frequency adjacent cells meeting the conditions meets the limit of the minimum value and the maximum value of the number of the auxiliary cells, completing the selection of the auxiliary cells, wherein the number of the auxiliary cells is the number of the selected same-frequency adjacent cells; if the number of the same-frequency adjacent cells meeting the condition meets the maximum value of the number of the auxiliary cells, selecting the same-frequency adjacent cell with the maximum RSRP value equal to the maximum value of the number of the auxiliary cells as the auxiliary cell; if the number of the same-frequency adjacent cells meeting the condition meets the minimum value smaller than the number of the auxiliary cells, the auxiliary cells cannot be selected, and the wireless fingerprint map building condition is not met;
If the RSRP threshold is not set, sorting is carried out according to the RSRP value, the same-frequency adjacent cells with the number smaller than the maximum value of the number of the auxiliary cells are selected as the auxiliary cells, and the number of the same-frequency adjacent cells is the number of the auxiliary cells.
According to the auxiliary cell selection method, an auxiliary cell set can be obtained as follows:
the secondary cell set is: [1,2,3,4,5], the size of the set plus one is the dimension of the grid index value;
grid index cell set: service cell ID U auxiliary cell set;
the dataset used to construct the fingerprint map contains cell IDs of:
Figure BDA0003449083010000131
Figure BDA0003449083010000141
3. and determining the RSRP value interval and the interval number.
The value range of the RSRP value is divided into a plurality of intervals, and each interval is assigned an interval number.
In the implementation, when the RSRP is divided into sections according to a preset step length, the value range of the RSRP is divided into a plurality of sections according to the determined step length.
Specifically, the grid division may employ an average division method. Dividing the value range of the RSRP into a plurality of intervals according to the determined step length average, and assigning an interval number to each interval.
As an example of this is the case,
assuming that the UE measures the downlink RSRP of a certain cell to have a value ranging from-140 to-41 dBm and sets the interval step length to 10dBm, the interval numbers of the intervals of the RSRP are shown in the following table.
RSRP value interval and interval number corresponding table
Sector number RSRP value (dBm)
0 No data
1 -140~-131
2 -130~-121
3 -120~-111
4 -110~-101
5 -100~-91
6 -90~-81
7 -80~-71
8 -70~-61
9 -60~-51
10 -50~-41
Wherein, the section number "0" is a special identifier, which indicates a dimension without data. The interval number set is {0,1,2,3,4,5,6,7,8,9, 10}, and the dimension depth is size { interval number set }.
4. The grid index represents.
As previously described, the grid index value is represented as a cell ID and RSRP zone number.
As an example of this is the case,
in the network environment shown in fig. 5, RSRP data reported by a UE accessing a serving cell 0 is as follows:
Figure BDA0003449083010000151
based on the above table and the RSRP segment number determination method, the RSRP values in the above table are converted into RSRP segment numbers.
Figure BDA0003449083010000152
The index value of the grid to which each piece of data collected by the UE belongs is the ID and RSRP interval number list (list) of each cell under the grid index cell set, that is, for the data item 1, the grid index value is [ (0, 1,2,3,4, 5), (1, 10,7,6,7,8) ].
The implementation of the intra-grid data processing is described below.
1. Implementation of data storage within a grid.
And the grids store the data of the serving cell and the same-frequency neighbor cell corresponding to the index value, wherein the data comprises a neighbor cell downlink PRB occupation bitmap and a downlink CQI or MCS value, meanwhile, each grid is used as the attribute of the grid, and stores grid type data, and 1 and 0 respectively represent an edge grid and a center grid.
The stored data sample table in the grid may be as follows:
Figure BDA0003449083010000161
2. implementation of grid type determination.
One classification of the grid types is to distinguish between cell edge grids and center grids, specifically: according to the RSRP information reported by the UE, the average or smooth value of the difference (delta) RSRP between the RSRP (RSRPsrv) of the cell and each neighboring cell RSRP (RSRPneib), that is, rsrp=rsrpsrv-RSRPneib, the grid with delta RSRP less than a certain threshold is attributed to the edge grid, and the other grids are attributed to the center grid. In the edge grid, the delta RSRP values of the serving cell and the neighbor cells are recorded and updated.
The implementation of the wireless fingerprint map update will be described below.
In implementation, when one or a combination of the following conditions occurs, acquiring data reported by the terminal equipment and the base station to update the fingerprint map:
the difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
the difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
the same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
The fingerprint is mapped more than a predetermined time from the last time.
Specifically, the updating of the wireless fingerprint map can be realized through a strategy making module in the wireless intelligent management platform, and the wireless fingerprint map updating strategy is modified according to the requirements of intelligent application, so that the updating is realized.
1. Wireless fingerprint map update conditions.
The conditions for updating the wireless fingerprint map can be divided into event triggering and periodic triggering:
condition one based on event trigger: statistics values of CQI, MCS, SINR, ACK, NACK fed back by the terminal, etc., and the difference value between the actual PRB utilization values of the serving cell and the same-frequency neighbor cells and the data stored in the grid exceeds a certain threshold;
condition two based on event triggering: the same-frequency neighbor cell of the serving cell is changed, or the configuration of the same-frequency neighbor cell is changed, such as transmitting power and the like;
the conditions based on periodic triggering are: after the distance is up to date and the wireless fingerprint map (or grid) is built (or updated) for a certain time, the wireless fingerprint map (or grid) is updated.
2. Wireless fingerprint map updating mode.
Wireless fingerprint map updates that include all grids, or partial grid updates.
3. And initiating a wireless fingerprint map updating process.
In practice, the updating of the fingerprint map is initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform.
Specifically, the update process may be initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform. And the wireless intelligent control platform sends an update message to the wireless intelligent management platform through an A1 interface based on the wireless fingerprint map performance fed back by the APP.
Based on the same inventive concept, the embodiment of the invention also provides a wireless intelligent management platform and a computer readable storage medium, and because the principle of solving the problems of the devices is similar to that of a fingerprint map construction method, the implementation of the devices can refer to the implementation of the method, and the repetition is omitted.
In implementing the technical scheme provided by the embodiment of the invention, the method can be implemented as follows.
Fig. 6 is a schematic structural diagram of a wireless intelligent management platform, where as shown in the drawing, the wireless intelligent management platform includes:
the processor 600, configured to read the program in the memory 620, performs the following procedures:
acquiring signal strength or signal quality information of wireless signals of a serving cell and a same-frequency neighbor cell from data reported by a terminal device and a base station, and data reported by the terminal device and data reported by the base station;
Constructing a fingerprint map in a coverage area of a service cell according to the reported data, wherein the fingerprint map is composed of grids, the acquired signal strength or signal quality information of wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, for each grid, the acquired data reported by terminal equipment at the position is used for representing wireless environment information of the terminal equipment of the grid, and the acquired data reported by a base station at the position is used for representing influence information of different same-frequency neighboring cells on the wireless environment of the terminal equipment of the grid;
a transceiver 610 for receiving and transmitting data under the control of the processor 600.
In the implementation, the data reported by the terminal equipment and the base station are obtained from the historical data collected by the OAM.
In implementation, the data used to represent the wireless environment information of the terminal device of the grid includes one or a combination of the following data fed back by the UE:
CQI、MCS、SINR、ACK、NACK。
in implementation, the data used for representing the influence information of different co-frequency adjacent cells on the wireless environment where the terminal equipment of the grid is located includes one or a combination of the following data fed back by the base station:
the PRB allocation bitmap of the serving cell, the PRB allocation bitmap of the same-frequency neighbor cell, the PRB utilization rate of the serving cell and the PRB utilization rate of the same-frequency neighbor cell.
In the implementation, in the fingerprint map formed by the grids, the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighbor cell are divided into intervals according to a preset step length.
In the implementation, when the RSRP is divided into sections according to a preset step length, the value range of the RSRP is divided into a plurality of sections according to the determined step length.
In practice, further comprising:
and determining the index value of the grid according to the selected same-frequency neighbor cell, the beam information and the RSRP value interval and interval number.
In practice, the co-frequency neighbor cell selected by each grid is determined according to one or a combination of the following modes:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
In implementation, when one or a combination of the following conditions occurs, acquiring data reported by the terminal equipment and the base station to update the fingerprint map:
the difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
the difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
The same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
the fingerprint is mapped more than a predetermined time from the last time.
In practice, the updating of the fingerprint map is initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform.
Wherein in fig. 6, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 600 and various circuits of memory represented by memory 620, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. Transceiver 610 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 600 is responsible for managing the bus architecture and general processing, and the memory 620 may store data used by the processor 600 in performing operations.
The embodiment of the invention also provides a wireless intelligent management platform, which comprises the following steps:
The data module is used for acquiring signal strength or signal quality information of wireless signals of the serving cell and the same-frequency neighbor cell from data reported by the terminal equipment and the base station, and the data reported by the terminal equipment and the base station;
the map module is used for constructing a fingerprint map in the coverage area of the service cell according to the reported data, wherein the fingerprint map is composed of grids, the obtained signal strength or signal quality information of the wireless signals of the service cell and the same-frequency neighbor cells is used as a position indication of the grids, for each grid, the obtained data reported by the terminal equipment at the position are used for representing the wireless environment information of the terminal equipment of the grid, and the obtained data reported by the base station at the position are used for representing the influence information of the different same-frequency neighbor cells on the wireless environment of the terminal equipment of the grid.
In implementation, the data module is further configured to obtain data reported by the terminal device and the base station from the historical data collected by the OAM.
In implementation, the data module is further configured to obtain data including one or a combination of the following data fed back by the UE, where the data is used to represent wireless environment information of the terminal device of the grid:
CQI、MCS、SINR、ACK、NACK。
in an implementation, the data module is further configured to obtain data including one or a combination of the following data fed back by the base station, where the data is used to represent information about influence of different co-frequency neighboring cells on a wireless environment where the terminal device of the grid is located:
The PRB allocation bitmap of the serving cell, the PRB allocation bitmap of the same-frequency neighbor cell, the PRB utilization rate of the serving cell and the PRB utilization rate of the same-frequency neighbor cell.
In implementation, the map module is further configured to divide the value range of the RSRP of the serving cell and the value range of the RSRP of each co-frequency neighboring cell into intervals according to a preset step size in the fingerprint map formed by the grids.
In implementation, the map module is further configured to divide the value range of the RSRP into a plurality of sections according to the determined step length when the map module is further configured to divide the section into sections according to the preset step length.
In implementation, the map module is further configured to determine an index value of the grid according to the selected co-frequency neighboring cell, the beam information, and the RSRP value interval and the interval number.
In an implementation, the map module is further configured to determine the co-frequency neighboring area selected by each grid according to one or a combination of the following manners:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
In implementation, the data module is further configured to obtain data reported by the terminal device and the base station to update the fingerprint map when one or a combination of the following conditions occur:
The difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
the difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
the same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
the fingerprint is mapped more than a predetermined time from the last time.
In implementation, the data module is further used for updating the fingerprint map initiated by the wireless intelligent control platform or initiated by the wireless intelligent management platform.
For convenience of description, the parts of the above apparatus are described as being functionally divided into various modules or units, respectively. Of course, the functions of each module or unit may be implemented in the same piece or pieces of software or hardware when implementing the present invention.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the fingerprint map construction method when being executed by a processor.
Specific implementation can be seen in the implementation of the fingerprint map construction method.
In summary, in the technical scheme provided by the embodiment of the invention, a wireless fingerprint map construction and update scheme based on a wireless intelligent management platform and a wireless intelligent control platform is provided; the scheme specifically comprises the following steps:
establishing a wireless fingerprint map construction strategy;
a data acquisition and processing scheme of a service cell and a same-frequency neighbor cell thereof;
a wireless fingerprint map grid construction or index value representation scheme;
an auxiliary cell selection scheme;
and selecting the grid attribute value of the wireless fingerprint map.
According to the scheme, a wireless fingerprint map based on a virtual grid is constructed, the terminal is not required to acquire geographical position information, and the matching of the wireless environment where the terminal is located and the wireless information is realized by acquiring signal strength indication values of a service cell and the same-frequency neighbor cells of the service cell;
based on a wireless intelligent management platform (Non-Real Time RAN Intelligent Controller (Near real-time RAN intelligent controller; RAN: wireless access network, radio Access Network)) and a wireless intelligent control platform (Near real-time RAN intelligent controller), constructing and updating a configurable and flexible wireless fingerprint map based on application requirements;
the wireless intelligent management platform establishes a construction strategy of a wireless fingerprint map meeting the requirements of each cell according to the application requirements, and performs data acquisition and processing to realize cell-level wireless fingerprint map construction and updating;
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (13)

1. The fingerprint map construction method is characterized by comprising the following steps of:
acquiring signal strength or signal quality information of wireless signals of a serving cell and a same-frequency neighbor cell from data reported by a terminal device and a base station, and data reported by the terminal device and data reported by the base station;
and constructing a fingerprint map in the coverage area of the service cell according to the reported data, wherein the fingerprint map is composed of grids, the acquired signal strength or signal quality information of the wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, for each grid, the acquired data reported by the terminal equipment at the position is used for indicating the wireless environment information of the terminal equipment of the grid, and the acquired data reported by the base station at the position is used for indicating the influence information of the wireless environment of the terminal equipment of the grid, which is caused by different same-frequency neighboring cells.
2. The method of claim 1, wherein the data reported by the terminal device and the base station is obtained from historical data collected by the operation administration maintenance OAM.
3. The method of claim 1, wherein the data representing the radio environment information in which the terminal device of the grid is located comprises one or a combination of the following data fed back by the UE:
Channel quality indication CQI, modulation and coding scheme MCS, signal to interference plus noise ratio SINR, positive acknowledgement ACK, negative acknowledgement NACK.
4. The method of claim 1, wherein the data representing information of influence of different co-frequency neighbors on the wireless environment in which the terminal device of the grid is located comprises one or a combination of the following data fed back by the base station:
the method comprises the steps of a physical resource block PRB allocation bitmap of a serving cell, a PRB allocation bitmap of a same-frequency neighbor cell, a PRB utilization rate of the serving cell and a PRB utilization rate of the same-frequency neighbor cell.
5. The method of claim 1 wherein the fingerprint map formed by the grids is divided into intervals according to a preset step size according to a range of RSRP of the reference signal received by the serving cell and a range of RSRP values of each co-frequency neighbor cell.
6. The method of claim 5 wherein dividing into intervals according to a predetermined step size is performed by dividing the range of RSRP values into a plurality of intervals according to a determined step size.
7. The method of any one of claims 1 to 6, further comprising:
and determining the index value of the grid according to the selected same-frequency neighbor cell, the beam information and the RSRP value interval and interval number.
8. A method according to any one of claims 1 to 6, wherein the co-frequency neighbors selected by each grid are determined according to one or a combination of the following:
selecting the same-frequency neighbor cells according to the RSRP value;
selecting the same-frequency neighbor cells with RSRP values larger than the threshold value;
and selecting the same-frequency neighbor cells according to the distance from the serving cell.
9. A method according to any one of claims 1 to 6, wherein the fingerprint map is updated by acquiring data reported by the terminal device and the base station when one or a combination of the following conditions occurs:
the difference between the statistical value of one or the combination of the following data fed back by the terminal and the numerical value used in the fingerprint map is larger than a preset value: a statistic of CQI, MCS, SINR, ACK, NACK;
the difference between the PRB utilization rate value of the serving cell and/or the same-frequency neighbor cell and the numerical value used in the fingerprint map is larger than a preset value;
the same-frequency neighbor cell of the serving cell is changed;
the configuration of the same-frequency neighbor cell of the serving cell is changed;
the fingerprint is mapped more than a predetermined time from the last time.
10. The method of any of claims 1 to 6, wherein updating the fingerprint map is initiated by a wireless intelligent control platform or initiated by a wireless intelligent management platform.
11. A wireless intelligent management platform, comprising:
a processor for reading the program in the memory, performing the following process:
acquiring signal strength or signal quality information of wireless signals of a serving cell and a same-frequency neighbor cell from data reported by a terminal device and a base station, and data reported by the terminal device and data reported by the base station;
constructing a fingerprint map in a coverage area of a service cell according to the reported data, wherein the fingerprint map is composed of grids, the acquired signal strength or signal quality information of wireless signals of the service cell and the same-frequency neighboring cells is used as a position indication of the grids, for each grid, the acquired data reported by terminal equipment at the position is used for representing wireless environment information of the terminal equipment of the grid, and the acquired data reported by a base station at the position is used for representing influence information of different same-frequency neighboring cells on the wireless environment of the terminal equipment of the grid;
and a transceiver for receiving and transmitting data under the control of the processor.
12. A wireless intelligent management platform, comprising:
the data module is used for acquiring signal strength or signal quality information of wireless signals of the serving cell and the same-frequency neighbor cell from data reported by the terminal equipment and the base station, and the data reported by the terminal equipment and the base station;
The map module is used for constructing a fingerprint map in the coverage area of the service cell according to the reported data, wherein the fingerprint map is composed of grids, the obtained signal strength or signal quality information of the wireless signals of the service cell and the same-frequency neighbor cells is used as a position indication of the grids, for each grid, the obtained data reported by the terminal equipment at the position are used for representing the wireless environment information of the terminal equipment of the grid, and the obtained data reported by the base station at the position are used for representing the influence information of the different same-frequency neighbor cells on the wireless environment of the terminal equipment of the grid.
13. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method of any of claims 1 to 10.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116721489A (en) * 2023-08-11 2023-09-08 南京财经大学 Intelligent lock control data processing method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116721489A (en) * 2023-08-11 2023-09-08 南京财经大学 Intelligent lock control data processing method and device
CN116721489B (en) * 2023-08-11 2023-10-13 南京财经大学 Intelligent lock control data processing method and device

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