KR20240040445A - Method for optimizing wireless network and management server using the same - Google Patents

Abstract

The present invention relates to a method for determining optimization priority in a wireless network and a management server for the same. The method for determining the optimization priority of a management server in a wireless network according to an embodiment of the present invention involves a terminal measuring Receiving measurement results for wireless signals measured while moving the route; Using the measurement results, calculating a cell interference index for each cell included in the measurement route; and setting priorities of the cells for applying wireless optimization based on the cell interference index.

Description

Method for determining optimization priority in a wireless network and management server for the same {Method for optimizing wireless network and management server using the same}

The present invention relates to a method for determining optimization priorities in a wireless network that can set priorities for each cell in order to optimize a wireless network to minimize interference between cells, and a management server for the same.

In general, optimization of a wireless communication network is a series of changes to optimize the quality of communication service provided to subscribers and minimize the probability of call interruption by changing the setting values of parameters such as the direction, tilt, and radio wave intensity of the base station antenna. It means procedure.

The manager of a wireless communication network can receive information about the quality of wireless communication from the terminal, analyze it using an analysis tool, and then proceed with optimization, such as adjusting parameters of a specific cell. However, analysis results may vary depending on the analysis capabilities of each manager, and problems such as analysis time taking a long time or optimization ineffectiveness may occur.

In other words, since it is not possible to provide standardized and accurate indicators on the impact of each cell, there is a problem that the result of wireless network quality improvement is determined by the manager's capabilities.

Republic of Korea Patent Publication No. 10-2019-0084716

The present invention provides a method for determining optimization priorities in a wireless network that can set priorities for each cell by defining new indicators for setting target cells for wireless network optimization, and a management server for the same. It is intended to provide.

The present invention provides a method for determining optimization priority in a wireless network that can improve the quality of the wireless network by allowing optimization to be performed preferentially starting from the target cell with high interference using the cell interference index, and the same. This is to provide a management server for

The present invention provides a method for determining optimization priorities in a wireless network that can provide a UI (User Interface) so that managers can easily optimize the wireless network, and a management server for the same. It is for this purpose.

A method of determining the optimization priority of a management server in a wireless network according to an embodiment of the present invention is to determine the wireless signal from each cell included in the measurement route in the wireless network measured while the terminal moves the measurement route. Receiving measurement results for; Using the measurement results, calculating a cell interference index for each cell included in the measurement route; and setting priorities of the cells for applying wireless optimization based on the cell interference index.

Here, the measurement results may include GPS coordinates of each measurement point included in the measurement route, measurement time, and wireless quality indicators of the serving signal and interference signal measured at the measurement point.

Here, the step of calculating the cell interference index is the interference maintenance time during which each cell operates as an interference source at the measurement point within the measurement route, and the interference intensity which is the sum of the wireless quality index of the interference signal when operating as the interference source. Using this, the cell interference index may be generated.

Here, the step of calculating the cell interference index involves setting a time vector and an intensity vector orthogonal to each other for the interference maintenance time and the interference intensity, and setting the size of the sum vector of the time vector and the intensity vector as the cell interference index. You can.

Here, in calculating the cell interference index, the intensity vector can be set by converting the interference intensity to the same scale as the interference time.

Here, the wireless quality indicators include reference signal received power (RSRP), reference signal received quality (RSRQ), received signal strength indicator (RSSI), and signal-to-interference and noise ratio ( It may include at least one of Signal to Interference-plus-Noise Ratio (SINR) and Channel Quality Indicator (CQI).

Here, in the step of setting the priority, the larger the cell interference index of the cell, the higher the priority can be set to the cell.

Here, the wireless network optimization method according to an embodiment of the present invention may further include setting the cell with the highest priority as a target cell for applying the wireless network optimization and modifying the wireless parameters of the target cell. You can.

Here, the step of modifying the radio parameters may be adjusting the signal transmission strength of the target cell or the mechanical or electrical tilt angle of the antenna included in the target cell.

According to one embodiment of the present invention, a computer program stored in a medium can be implemented in combination with hardware to execute the wireless network optimization method of the wireless network optimization device described above.

The management server according to an embodiment of the present invention includes a receiving unit that receives measurement results for wireless signals measured while the terminal moves along the measurement route; an index generator that calculates a cell interference index for each cell included in the measurement route using the measurement results; and a priority setting unit that sets priorities of the cells for applying wireless optimization based on the cell interference index.

Additionally, the means for solving the above problems do not enumerate all the features of the present invention. The various features of the present invention and the resulting advantages and effects can be understood in more detail by referring to the specific embodiments below.

According to a method for determining optimization priority in a wireless network and a management server for the same according to an embodiment of the present invention, a new index for setting a target cell for wireless network optimization can be defined, and using this, It is possible to set priorities for each cell. In other words, by using the cell interference index proposed in the present invention, anyone can perform optimization starting from the target cell with high interference according to priority, regardless of the manager's capabilities, thus easily improving the quality of the entire wireless network in the region. can do.

According to an embodiment of the present invention, a method for determining optimization priority in a wireless network and a management server for the same provide a UI (User Interface) that displays the serving area and the interference area separately on a map for each cell. can be provided. Therefore, the administrator can conveniently perform wireless network optimization by referring to the UI when optimizing the wireless network.

Figure 1 is a schematic diagram showing a wireless network optimization system according to an embodiment of the present invention.
Figure 2 is a schematic diagram showing a serving signal and an interference signal according to an embodiment of the present invention.
Figure 3 is a block diagram showing a management server according to an embodiment of the present invention.
Figure 4 is a schematic diagram showing a cell interference index according to an embodiment of the present invention.
Figure 5 is an exemplary diagram showing the cell interference index for each PCI according to an embodiment of the present invention.
Figures 6 and 7 are exemplary diagrams showing wireless network optimization according to an embodiment of the present invention.
Figure 8 is a schematic diagram showing a wireless network optimization UI according to an embodiment of the present invention.
Figure 9 is a flowchart showing a method for determining optimization priority in a wireless network according to an embodiment of the present invention.

Hereinafter, with reference to the attached drawings, preferred embodiments will be described in detail so that those skilled in the art can easily practice the present invention. However, when describing preferred embodiments of the present invention in detail, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, the same symbols are used throughout the drawings for parts that perform similar functions and actions.

In addition, throughout the specification, when a part is said to be 'connected' to another part, this does not only mean 'directly connected', but also 'indirectly connected' with another element in between. Includes. In addition, 'including' a certain component means that other components may be further included rather than excluding other components, unless specifically stated to the contrary. Additionally, terms such as “unit” and “module” used in the specification refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or as a combination of hardware and software.

Figure 1 is a schematic diagram showing a wireless network optimization system according to an embodiment of the present invention.

Referring to Figure 1, the wireless network optimization system according to an embodiment of the present invention may include a terminal 1 and a management server 100.

The terminal (1) can move along the measurement route (T) to measure the quality of the wireless network within the area (A), and can transmit the measurement results measured while moving to the management server (100). The terminal 1 is, depending on the network type, “mobile station”, “subscriber station”, “remote terminal”, “wireless terminal”, “user terminal”. It may be referred to as “UE” or “user device”. The terminal 1 may be transported on a vehicle, etc., and may be a cellular phone, a personal computer device, or the like. Terminal 1 may be a remote wireless device that wirelessly accesses the base station, whether considered a mobile device (eg, a mobile phone or smartphone) or a stationary device (eg, a desktop computer).

Base stations (B1, B2, B3) can be installed to provide wireless communication within area (A), and depending on the network type, they are called “Access Point (AP)”, “eNodeB”, “eNB”, etc. It can be called. The wireless communication provided by the base station (B1, B2, B3) may be 4G or 5G. Each base station (B1, B2, B3) may have depending on the coverage area.

As shown in Figure 2, the terminal 1 is connected to the first base station (B1) and can transmit and receive data with the first base station (B1). In this case, the first base station (B1) is a serving base station for the terminal (1), and the first cell (C1) of the first base station (B1) corresponds to a serving cell for the terminal (1). At this time, the signal received from the terminal 1 serving base station B1 corresponds to the serving signal S_S.

Meanwhile, the second base station (B2), which is adjacent to the first base station (B1) and causes interference to the first cell (C1), is an interference base station for the terminal (1), and the second cell (C2) of the second base station is an interference base station. Corresponds to a cell. At this time, the signal that the terminal 1 receives from the interference base station B2 corresponds to the interference signal N_S.

That is, when the terminal (1) is connected to the first base station (B1) and receives the serving signal (S_S) from the first base station (B1), the second base station (B2) operates as an interference source for the terminal (1). In addition, the quality of the wireless network, such as the received signal strength or signal-to-noise ratio for the terminal 1, may be deteriorated due to the interference signal (N_S) of the second base station (B2).

The management server 100 can receive measurement results about the quality of the wireless network measured at the measurement route (T) from the terminal 1, and based on this, each base station (B1, B2, You can adjust the wireless parameters of B3). Here, the management server 100 can provide wireless network optimization priorities for each cell for efficient wireless network optimization. That is, the management server 100 can define a cell interference index from the measurement results and provide priority by setting the priority starting from the base station with the highest interference based on the cell interference index. Accordingly, administrators, etc. can optimize each cell according to the priority provided by the management server 100, and through this, wireless network quality for the entire area (A) can be efficiently improved. Hereinafter, the management server 100 according to an embodiment of the present invention will be described.

Figure 3 is a block diagram showing a management server according to an embodiment of the present invention.

Referring to Figure 3, the management server 100 according to an embodiment of the present invention may include a receiving unit 110, an index generating unit 120, and a priority setting unit 130.

The receiver 110 can receive measurement results for the wireless signal measured while the terminal 1 moves the measurement route T. The measurement route (T) can be set arbitrarily within the area (A) and can be set to pass through areas where the coverage of a plurality of base stations (B1, B2, B3) overlaps.

The measurement results measured by the terminal (1) include the GPS coordinates of the measurement point within the measurement route (T) where the terminal (1) measured the wireless network quality, the measurement time when the wireless network quality was performed at the measurement point, and the measurement time at the measurement point. Wireless quality indicators of the measured serving signal (S_S) and interference signal (N_S) may be included. Here, the wireless quality indicators are Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Received Signal Strength Indicator (RSSI), and Signal-to-Interference and Noise Ratio (SINR). : Signal to Interference-plus-Noise Ratio), Channel Quality Indicator (CQI), etc. In addition, various types of wireless quality indicators can be used. Below, the case of using RSRP as a wireless quality indicator is explained as an example.

The index generator 120 may use the measurement results to obtain a cell interference index for each cell included in the measurement route (T). That is, in order to select a base station to which wireless network optimization will be preferentially applied among a plurality of base stations (B1, B2, B3), the cell interference index for each base station can be calculated.

The cell interference index can be generated using the interference strength, which is the sum of the interference maintenance time when each cell operates as an interference source and the radio quality index of the interference signal when it operates as an interference source. Referring to FIG. 4, the index generator 120 can set a time vector and an intensity vector that are orthogonal to each other for the interference maintenance time and the interference intensity, and the size of the sum vector of the time vector and the intensity vector is the cell of each cell. Corresponds to the interference index. Here, the intensity vector can be generated after converting the interference intensity to the same scale as the interference time. That is, if the scales of the interference intensity and the interference time are different, either one may be reflected too much when generating the cell interference index, so their scales can be adjusted to be the same.

Depending on the embodiment, RSRP for each PCI (Physical Cell Identity) of the interfering cells can be extracted from the measurement results, and each RSRP can be converted from dBm units to mW units. Afterwards, the interference time can be obtained from the number of times each PCI is measured as an interference cell in each measurement result, and set in the y-axis direction to generate a time vector. That is, since the terminal 1 performs measurements at regular time intervals, it is possible to obtain the interference time during which the corresponding PCI operated as an interference cell from the number of times the corresponding PCI was measured as an interference cell.

In addition, the interference strength can be obtained by adding up the RSRP when each PCI is measured as an interference cell and then converting it back to dBm. Here, the interference intensity can be converted to a positive number by adding 140, the scale of the interference intensity converted to match the scale of the interference time, and then set in the x-axis direction to generate an intensity vector.

Finally, the cell interference index for each cell can be obtained by taking the square root of the square of the magnitude of the time vector and the square of the magnitude of the intensity vector. The above description describes an example of calculating the cell interference index. In the present invention, the cell interference index can be obtained in various ways based on the interference maintenance time and interference intensity.

The priority setting unit 130 may set the priorities of cells for applying wireless optimization based on the cell interference index. That is, the larger the cell interference index of a cell, the higher the priority can be set to the cell, so that optimization for the corresponding cell can be performed first. A large cell interference index means that the corresponding cell operates as an interference source for a long time and the signal strength as an interference source is high. Therefore, it is possible to optimize wireless quality within the area by preferentially optimizing cells with a high cell interference index.

Depending on the embodiment, it is possible to distinguish whether each cell has ever operated as a serving cell from the measurement results. That is, the measurement results may include information on whether cells at each measurement point operate as serving cells or interference cells. Therefore, as shown in Figure 5, the cell interference index of cells that have operated as a serving cell at least once can be displayed with hatching, and the cell interference index of cells that have operated only as an interference cell can be displayed in white.

In this case, the priority setting unit 130 may preferentially select cells that have never operated as serving cells among cells when setting the priority.

That is, since only interference cells operate within the measurement route (T), the corresponding cells can be extracted preferentially and then priority can be set according to the size of the cell interference index. Thereafter, the cells that operated as serving cells can be prioritized according to the cell interference index, with the priority of cells that only operated as interference cells.

The optimization unit 140 can set the cells with the highest priority as target cells for applying wireless network optimization and modify the wireless parameters of the target cells. That is, the optimization unit 140 improves the quality of the wireless network by adjusting the signal transmission strength of the target cell or the mechanical tilt (M-tilt) angle or electrical tilt (E-tilt) angle of the antenna included in the target cell. You can do it.

Figures 6 and 7 are exemplary diagrams showing wireless network optimization according to an embodiment of the present invention. Figure 6(a) shows the cell interference index for each PCI before applying wireless network optimization. PCI 164, 152, 373, and 774 correspond to cells that operated as serving cells, and PCI 746, 483, 654, and 248 corresponds to a cell that has never operated as a serving cell. Therefore, although PCI 164 has the highest cell interference index, PCI 746, which has the highest cell interference index among cells that operate only as an interference cell, can be selected first as the target cell. Afterwards, the results of adjusting the wireless parameters of the PCI 746 can be displayed as shown in Figure 6(b), through which it can be seen that the cell interference index of the PCI 746 has been lowered from the existing 101.88 to 26.85.

In addition, after adjusting the wireless parameters for PCI 746, the cell interference index for each PCI may appear as shown in Figure 7(a), where the cell interference index of PCI 774 among cells operating only as interference cells appears to be the highest. Therefore, PCI 774 can be set as the target cell and wireless parameters for PCI 774 can be adjusted. In this case, as shown in Figure 7(b), it can be seen that the cell interference index of PCT 774 has been lowered from the existing 108.74 to 28.34.

In this way, among cells that operate only as interference cells, wireless parameters can be sequentially adjusted for cells with a high cell interference index, and through this, it is possible to implement wireless network optimization within area (A).

Additionally, depending on the embodiment, it is possible to have the optimizer 140 modify the radio parameters of the target cell according to the administrator's input. In this case, the optimization unit 140 may provide various UIs to make it easier for the administrator to modify wireless parameters.

Specifically, as shown in Figure 5, the priorities of a plurality of cells included in the measurement route can be provided by displaying them in a graph or the like. Here, the priority is determined according to the size of the cell interference index, and among each cell, cells that operate only as interference cells can be distinguished through color, hatching, contrast, etc. In other words, cells that operate only as interference cells can be visually distinguished, thereby encouraging managers to preferentially optimize those cells.

Additionally, as shown in Figure 8, when an administrator selects the PCI of a specific cell, an embodiment is also possible in which a UI is provided that displays the serving area and interference area of the corresponding cell on a map, respectively. In other words, since the measurement results include GPS for each measurement point, the measurement route (T) along which the terminal 1 moved can be displayed on the map, and among them, the point where a specific cell operates as a serving cell and Each point that operates as an interference cell can be displayed. Here, each point can display the measured signal strength (RSRP) by color, for example, red is over -70 dBm, yellow is -80 to -70 dBm, and green is -90 to -80. dBm, blue may indicate -100 to -90 dBm, and black may indicate -100 dBm or less.

In this case, the administrator can perform wireless network optimization by checking the point where the relevant cell operates as a serving cell and an interference cell and then adjusting radio parameters such as the antenna tilt angle of the relevant cell by considering this. For example, if the section in which the corresponding cell operates as a serving cell within the measurement route (T) is short, the administrator adjusts wireless parameters such as antenna tilt angle (E-tilt, M-tilt) or swing to Cells can be removed. Additionally, if there is a wide section where the cell operates as an interference cell, the antenna tilt angle can be adjusted to remove the interference signal.

Figure 9 is a flowchart showing a method for determining optimization priority in a wireless network according to an embodiment of the present invention.

Referring to Figure 9, the management server can receive measurement results for the wireless signal measured while the terminal moves the measurement route (S10). The measurement route can be set arbitrarily within the area and can be set to pass through areas where the coverage of multiple base stations overlaps.

The measurement results measured by the terminal include the GPS coordinates of the measurement point within the measurement route where the terminal measured the wireless network quality, the measurement time when the wireless network quality was performed at the measurement point, and the wireless information of the serving signal and interference signal measured at the measurement point. Quality indicators, etc. may be included. Here, the wireless quality indicators are Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Received Signal Strength Indicator (RSSI), and Signal-to-Interference and Noise Ratio (SINR). : Signal to Interference-plus-Noise Ratio), Channel Quality Indicator (CQI), etc. In addition, various types of wireless quality indicators can be used.

Afterwards, the management server can use the measurement results to obtain cell interference indexes for each cell included in the measurement route (S20). That is, in order to select a base station to which wireless network optimization will be preferentially applied among a plurality of base stations, the cell interference index for each base station can be calculated. The cell interference index can be generated using the interference strength, which is the sum of the interference maintenance time when each cell operates as an interference source and the radio quality index of the interference signal when it operates as an interference source.

Specifically, the management server can set the interference maintenance time and the interference intensity as time vectors and intensity vectors that are orthogonal to each other, and the size of the sum vector of the time vector and intensity vector can be generated as the cell interference index of each cell. . Here, when setting the intensity vector, the management server can convert the interference intensity to the same scale as the interference time. That is, if the scales of the interference intensity and the interference time are different, either one may be reflected too much when generating the cell interference index, so their scales can be adjusted to be the same.

Once the cell interference index is generated, the management server can set the priorities of cells for applying wireless optimization based on the cell interference index (S30). That is, the larger the cell interference index of a cell, the higher the priority can be set to the cell, so that optimization for the corresponding cell can be performed first. A large cell interference index means that the corresponding cell operates as an interference source for a long time and the signal strength as an interference source is high. Therefore, it is possible to optimize wireless quality within the area by preferentially optimizing cells with a high cell interference index.

Depending on the embodiment, it is possible to distinguish whether each cell has ever operated as a serving cell from the measurement results, and among cells, cells that have never operated as a serving cell can be preferentially selected. That is, since only interference cells operate within the measurement route, cells that only operate as interference cells can be extracted preferentially, and then priorities can be set according to the size of their cell interference index. Afterwards, the cells that operated as serving cells can be prioritized as lower priority according to the cell interference index.

Afterwards, the management server can set the cells with the highest priority as target cells for applying wireless network optimization and modify the wireless parameters of the target cells (S40). In other words, the management server can improve the quality of the wireless network by adjusting the signal transmission strength of the target cell or the mechanical or electrical tilt angle of the antenna included in the target cell. Depending on the embodiment, it is also possible to have the management server modify the wireless parameters of the target cell according to the administrator's input.

The present invention described above can be implemented as computer-readable code on a program-recorded medium. A computer-readable medium may continuously store a computer-executable program or temporarily store it for execution or download. In addition, the medium may be a variety of recording or storage means in the form of a single or several pieces of hardware combined. It is not limited to a medium directly connected to a computer system and may be distributed over a network. Examples of media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, And there may be something configured to store program instructions, including ROM, RAM, flash memory, etc. Additionally, examples of other media include recording or storage media managed by app stores that distribute applications, sites that supply or distribute various other software, or servers. Accordingly, the above detailed description should not be construed as restrictive in all respects and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

The present invention is not limited to the above-described embodiments and attached drawings. For those skilled in the art to which the present invention pertains, it will be clear that components according to the present invention can be replaced, modified, and changed without departing from the technical spirit of the present invention.

1: Terminal 100: Management server
110: receiving unit 120: index generating unit
130: Priority setting unit 140: Optimization unit

Claims (11)

In the method of determining the optimization priority of a management server in a wireless network including a plurality of cells,
Receiving measurement results of wireless signals from each cell included in the measurement route in the wireless network measured while the terminal moves the measurement route;
Using the measurement results, calculating a cell interference index for each cell included in the measurement route; and
A method of determining optimization priority in a wireless network, comprising setting priorities of the cells for applying wireless optimization based on the cell interference index.
The method of claim 1, wherein the measurement result is
A method of determining optimization priority in a wireless network, including GPS coordinates of each measurement point included in the measurement route, measurement time, and wireless quality indicators of the serving signal and interference signal measured at the measurement point.
The method of claim 1, wherein calculating the cell interference index comprises
Generating the cell interference index using the interference maintenance time during which each cell operated as an interference source at the measurement point within the measurement route and the interference intensity which is the sum of the radio quality index of the interference signal when operating as the interference source. How to determine optimization priorities in wireless networks.
The method of claim 3, wherein the step of calculating the cell interference index is
Determine the optimization priority in a wireless network by setting a time vector and an intensity vector that are orthogonal to each other for the interference maintenance time and the interference intensity, and setting the size of the sum vector of the time vector and the intensity vector as the cell interference index. How to.
The method of claim 4, wherein the step of calculating the cell interference index is
A method for determining an optimization priority in a wireless network, wherein the intensity vector is set by converting the interference intensity to the same scale as the interference time.
The method of claim 2, wherein the wireless quality indicator is
Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Received Signal Strength Indicator (RSSI), Signal to Interference-plus (SINR) A method of determining optimization priority in a wireless network that includes at least one of -Noise Ratio) and Channel Quality Indicator (CQI).
The method of claim 1, wherein the step of setting the priority is
A method for determining an optimized priority in a wireless network, where the larger the cell interference index of the cell, the higher the priority is set to the cell.
According to paragraph 1,
A method for determining optimization priority in a wireless network, further comprising setting cells with the highest priority as target cells for applying the wireless network optimization and modifying wireless parameters of the target cells.
The method of claim 8, wherein the step of modifying the wireless parameters is
A method of determining optimization priority in a wireless network that adjusts the signal transmission strength of the target cell or the mechanical or electrical tilt angle of the antenna included in the target cell.
A computer program combined with hardware and stored in a medium to execute the wireless network optimization method of the wireless network optimization device of any one of claims 1 to 9.
A receiving unit that receives measurement results for wireless signals measured while the terminal moves along the measurement route;
an index generator that calculates a cell interference index for each cell included in the measurement route using the measurement results; and
A management server comprising a priority setting unit that sets priorities of the cells for applying wireless optimization based on the cell interference index.

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