CN114158086A - Cell interference evaluation method, communication device, computing device and storage medium - Google Patents
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Abstract
The application provides a cell interference evaluation method, a communication device, a computing device and a storage medium, relates to the technical field of communication, and can simply and quickly determine SINR. The method comprises the following steps: acquiring MR of terminal equipment and network management data of access network equipment; determining a signal to interference plus noise ratio (SINR) corresponding to the MR according to the MR and the network management data; and evaluating the interference of the main service cell according to the SINR corresponding to the MR. The embodiment of the application is used in the process of evaluating the cell interference based on the MR.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a cell interference evaluation method, a communication apparatus, a computing device, and a storage medium.
Background
Currently, in order to evaluate the service quality of a cell and better optimize the network of the cell, interference evaluation needs to be performed on the cell, and a signal to interference plus noise ratio (SINR) is a currently commonly used cell interference evaluation index. The SINR refers to a ratio of the intensity of a useful downlink signal received by the terminal device to the sum of the intensity of a downlink interference signal received by the terminal device and the noise of the access network device corresponding to the terminal device. The SINR can effectively reflect the degree of interference experienced by the main serving cell of the terminal device.
Current methods of determining SINR are generally interference signal simulation. The interference signal simulation means that various indexes (for example, network load) of a network are simulated, and then the SINR is determined through the various indexes, but the complexity of the interference signal simulation is high, the limitation on a scene is large, and the efficiency of determining the SINR through the interference signal simulation is low.
Disclosure of Invention
The embodiment of the application provides a cell interference evaluation method, a communication device, a computing device and a storage medium, which can simply and quickly determine SINR.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, a method for evaluating cell interference is provided, where the method includes: acquiring (MR) of terminal equipment and network management data of access network equipment; determining a signal to interference plus noise ratio (SINR) corresponding to the MR according to the MR and the network management data; and evaluating the interference of the main service cell of the terminal equipment according to the SINR corresponding to the MR.
The technical scheme at least has the following beneficial effects: the cell interference evaluation method provided by the application can directly use data in the MR and network management data (namely network management data) of the access network equipment to determine the SINR. Because the data in the MR and the network management data have real-time performance, the SINR can be determined based on the MR and the network management data, the accuracy of the SINR can be improved, and the SINR can reflect the current network situation of the terminal equipment more truly. In addition, the cell interference evaluation method provided by the application can also avoid manual field survey for acquiring the data, so that the labor cost is reduced, and the SINR determination efficiency is improved.
In one possible implementation, the MR includes at least one of a Reference Signal Receiving Power (RSRP) of the primary serving cell and an RSRP of at least one neighbor cell of the primary serving cell; the network management data includes at least one of a utilization rate of a Physical Resource Block (PRB) of an average downlink of a coverage area of the primary serving cell and a device noise floor value of an access network device corresponding to the primary serving cell.
In one possible implementation, the average downlink PRB utilization includes at least one of a first average downlink PRB utilization within a first preset time period and a second average downlink PRB utilization within a second preset time period; under the condition that the MR is the MR reported in the first preset time period, the interference signal power of the SINR is determined according to the first average downlink PRB utilization rate and the RSRP of at least one adjacent cell of the main service cell; and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR is determined according to the utilization rate of the second average downlink PRB and the RSRP of at least one adjacent cell of the main service cell.
In a possible implementation manner, in the case that the MR is an MR reported within a first preset time period, the interference signal power of the SINR satisfies the following formula:
wherein I is the interference signal power of SINR; PRB1The first average downlink PRB utilization rate is obtained; RSRPkThe RSRP of the kth adjacent cell in the at least one adjacent cell; n is the number of at least one adjacent region; k. n is a positive integer, and k is less than or equal to N; and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR satisfies the following formula:
wherein PRB2And the second average downlink PRB utilization rate.
In a possible implementation manner, in the case that the MR is an MR reported within a first preset time period, the SINR corresponding to the MR satisfies the following formula:
wherein, RSRPMain service communityRSRP for the primary serving cell; the PN is the equipment background noise value of the access network equipment corresponding to the main service cell; under the condition that the MR is reported in a second preset time period, the SINR corresponding to the MR satisfies the following formula:
in a possible implementation manner, at least one neighbor cell is M neighbor cells with the largest RSRP value among all neighbor cells of the main serving cell; m is a positive integer.
In a second aspect, the present application provides a communication device comprising: a communication unit and a processing unit; the communication unit is used for acquiring a measurement report MR of the terminal equipment and network management data of the access network equipment; the processing unit is used for determining a signal to interference plus noise ratio (SINR) corresponding to the MR according to the MR and the network management data; and the processing unit is further used for evaluating the interference of the main serving cell of the terminal equipment according to the SINR corresponding to the MR.
In one possible implementation, the MR includes at least one of RSRP of the primary serving cell and RSRP of at least one neighbor cell of the primary serving cell; the network management data comprises at least one of the average downlink PRB utilization rate of the coverage area of the main service cell and the equipment noise floor value of the access network equipment corresponding to the main service cell.
In one possible implementation, the average downlink PRB utilization includes at least one of a first average downlink PRB utilization within a first preset time period and a second average downlink PRB utilization within a second preset time period; under the condition that the MR is the MR reported in the first preset time period, the interference signal power of the SINR is determined according to the first average downlink PRB utilization rate and the RSRP of at least one adjacent cell of the main service cell; and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR is determined according to the utilization rate of the second average downlink PRB and the RSRP of at least one adjacent cell of the main service cell.
In a possible implementation manner, in the case that the MR is an MR reported within a first preset time period, the interference signal power of the SINR satisfies the following formula:
wherein I is the interference signal power of SINR; PRB1The first average downlink PRB utilization rate is obtained; RSRPkThe RSRP of the kth adjacent cell in the at least one adjacent cell; n is the number of at least one adjacent region; k. n is a positive integer, and k is less than or equal to N; and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR satisfies the following formula:
wherein PRB2And the second average downlink PRB utilization rate.
In a possible implementation manner, in the case that the MR is an MR reported within a first preset time period, the SINR corresponding to the MR satisfies the following formula:
wherein, RSRPMain service communityRSRP for the primary serving cell; PN isThe equipment background noise value of the access network equipment corresponding to the main service cell; under the condition that the MR is reported in a second preset time period, the SINR corresponding to the MR satisfies the following formula:
in a possible implementation manner, at least one neighbor cell is M neighbor cells with the largest RSRP value among all neighbor cells of the main serving cell; m is a positive integer.
In a third aspect, the present application provides a communication apparatus, comprising: a processor and a communication interface; the communication interface is coupled to a processor for executing a computer program or instructions for implementing the cell interference assessment method as described in the first aspect and any possible implementation manner of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein instructions that, when executed on a terminal, cause the terminal to perform the method for cell interference assessment as described in the first aspect and any one of the possible implementations of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising instructions which, when run on a communication apparatus, cause the communication apparatus to perform the method for cell interference assessment as described in the first aspect and any one of the possible implementations of the first aspect.
In a sixth aspect, the present application provides a chip comprising a processor and a communication interface, the communication interface being coupled to the processor, the processor being configured to execute a computer program or instructions to implement the method for cell interference assessment as described in the first aspect and any possible implementation manner of the first aspect.
In particular, the chip provided herein further comprises a memory for storing computer programs or instructions.
Drawings
Fig. 1 is a block diagram of a communication system according to an embodiment of the present application;
fig. 2 is a flowchart of a cell interference evaluation method according to an embodiment of the present application;
fig. 3 is a flowchart of another cell interference evaluation method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a communication device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another communication device according to an embodiment of the present application.
Detailed Description
The method and apparatus for cell interference estimation provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the description and drawings of the present application are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.
Hereinafter, terms related to the embodiments of the present application are explained for the convenience of the reader.
One, SINR
The SINR refers to a ratio of the intensity of a useful downlink signal received by the terminal device to the sum of the intensity of a downlink interference signal received by the terminal device and the noise of the access network device corresponding to the terminal device.
In the current Long Term Evolution (LTE) and 5G networks, the scale of the network is continuously enlarged, and the structure of the network is more complex, which results in that the interference between cells is increased. If the interference between the cells becomes large, the data transmission rate and the data transmission quality of the terminal device will be continuously reduced. The data transmission rate and the data transmission quality of the terminal device may be affected by the following indexes: SINR, Channel Quality Indicator (CQI), Modulation and Coding Scheme (MCS) index value, channel Sounding Reference Signal (SRS), Rank Indication (RI), and terminal equipment rank. The SINR is one of the most important indicators affecting the data transmission rate and the data transmission quality of the terminal device.
Currently, there is no specific definition of SINR in communication protocols (e.g., the 3rd Generation Partner Project (3 GPP) protocol). The SINR is generally expressed as shown in the following equation 1:
here, signal (S) refers to the power of a useful signal received by the terminal device.
The useful signal may be a Reference Signal (RS) received by the terminal device, or may be a signal received by the terminal device from a Physical Downlink Shared Channel (PDSCH).
The interference (I) refers to the power of an interference signal received by a terminal device.
The interference signal includes: interference from other cells within the same system, and interference from cells within other systems.
noise (N) refers to a device noise floor of an access network device to which the terminal device is connected.
It should be noted that, in the 5G network, the SINR may also be referred to as secondary synchronization-SINR (SS-SINR). The SS-SINR refers to a ratio of a signal strength of a Secondary Synchronization Signal (SSs) received by the terminal device to a signal strength of an interference signal received by the terminal device.
Second, equipment bottom noise
The device noise floor refers to the thermal noise generated by the device during normal operation.
The calculation formula of the device background noise is shown in the following formula 2:
PN ═ 10 xlg (ktw) + NF equation 2
Where K is the Boltzmann constant. In the no-load condition, K is 1.38 multiplied by 10-23J/K。
T is the temperature in Kelvin. In the unloaded case, T is 290K.
W refers to the signal bandwidth of the device.
NF refers to the noise figure of the device. In the LTE system, NF is 9 dB. In the 5G system, the NF was 10 dB.
Example 1, the signal bandwidth of the device is 15000Hz, and the device is a device in an LTE system. The equipment background noise under no-load condition is as follows:
PN＝10×lg(1.38×10-23J/K×290K×15×1000Hz)+9dB＝-123.22dBm
example 2, the signal bandwidth of the device is 30000Hz, and the device is a device in a 5G system. The equipment background noise under no-load condition is as follows:
PN＝10×lg(1.38×10-23J/K×290K×30×1000Hz)+10dB＝-119.21dBm
third, RSRP
RSRP refers to a measurement value of the received power level of the terminal device in the LTE network or 5G network, i.e., a power value of a signal actually received by the terminal device. RSRP may be used for weak coverage and over-coverage analysis of cells.
Fourth, MR
The MR is a report reported by the terminal device and capable of reflecting the current network index of the terminal device. The network index may include at least one of: the RSRP of the main service cell, the RSRP of at least one adjacent cell and the longitude and latitude information of the terminal equipment.
In general, the terminal device reports the MR once every period of time, so the data in the MR has real-time performance. The time of the terminal device reporting the MR interval may be set by an operator according to the actual network condition, and the application is not limited at all.
The above is a brief introduction to some of the concepts involved in the embodiments of the present application.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application. The communication system may include: at least one access network device 101, at least one terminal device 102, and at least one computing device 103. Fig. 1 illustrates an access network device 101, a terminal device 102, and a computing device 103 as an example.
It should be noted that fig. 1 is only an exemplary framework diagram, the number of nodes included in fig. 1 is not limited, and other nodes may be included besides the functional nodes shown in fig. 1, such as: core network devices, gateway devices, application servers, etc., without limitation.
The access network device 101 is mainly used to implement the functions of resource scheduling, radio resource management, radio access control, and the like of the terminal device 102. Specifically, the access network device 101 may be any one of a small base station, a wireless access point, a transmission point (TRP), a Transmission Point (TP), and some other access node.
The terminal device 102 is located within the coverage of the access network device 101, is connected to the access network device 101, and can report a Measurement Report (MR) to the access network device 101. The terminal device 102 may be a terminal (terminal equipment) or a User Equipment (UE) or a Mobile Station (MS) or a Mobile Terminal (MT), etc. Specifically, the terminal device 102 may be a mobile phone (mobile phone), a tablet computer or a computer with a wireless transceiving function, and may also be a Virtual Reality (VR) terminal, an Augmented Reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in unmanned driving, a wireless terminal in telemedicine, a wireless terminal in a smart grid, a wireless terminal in a smart city (smart city), a smart home, a vehicle-mounted terminal, and the like. In the embodiment of the present application, the apparatus for implementing the function of the terminal device 102 may be the terminal device 102, or may be an apparatus capable of supporting the terminal device 102 to implement the function, for example, a chip system.
The computing device 103 is configured to determine a SINR corresponding to the MR of the terminal device. The computing device 103 is further configured to evaluate interference of the primary serving cell based on the SINR corresponding to the MR.
In addition, the communication system described in the embodiment of the present application is for more clearly illustrating the technical solution of the embodiment of the present application, and does not constitute a limitation to the technical solution provided in the embodiment of the present application, and it is known by a person of ordinary skill in the art that the technical solution provided in the embodiment of the present application is also applicable to similar technical problems with the evolution of network architecture and the appearance of new communication systems.
Currently, SINR determination methods generally include methods 1 and 2. Mode 1 and mode 2 will be described in detail below.
Mode 1, mode of manual test analysis.
The manual test analysis refers to that a worker tests data on the spot and then analyzes the data to obtain the SINR.
Problems with the mode 1: manual test analysis requires operators to go to the field for testing, which also results in high labor cost, low efficiency of SINR determination, and the like.
Mode 2, interference signal simulation mode.
The interference signal simulation means simulating various indexes (e.g., network load) of the network, and determining the SINR through the various indexes.
Problems with the mode 2: the complexity of interference signal simulation is high, the limitation on the scene is high, and the efficiency of determining the SINR through the interference signal simulation mode is low.
Compared with the method 1, the method for determining the SINR based on the MR is lower in cost and higher in efficiency, and compared with the method 2, the method for determining the SINR based on the MR can determine the SINR simply and quickly. However, SINR data is not typically included in current MRs,
for example, no specific definition of SINR is involved in the communication protocols of LTE/4G networks. The measurement of SINR by a terminal device in an LTE/4G network is performed based on Resource Blocks (RBs), that is, the terminal device needs to measure the SINR of each RB, convert the measured SINR into CQI, and report the CQI to an access network device. When the terminal device reports the CQI, the decoding capability of the terminal device itself is considered, so that the SINR corresponding to the CQI reported by the terminal device is an SINR corresponding to a Most Significant Character (MSC) that can be decoded by the terminal device, and is not an SINR actually measured by the terminal device. Therefore, the actual SINR is not included in the MR reported by the terminal device to the access network device in the LTE/4G network.
For another example, in a 5G/New Radio (NR) network, only a part of terminal devices can periodically report an MR including SINR, and another part of terminal devices cannot report an MR including SINR due to manufacturer limitation or self-capability limitation, which may result in that there is no SINR in the MRs reported by some terminal devices in the 5G/NR network.
In the case where the SINR is not included in the MR, the interference analysis of the cell based on the MR cannot be performed.
Therefore, the present application provides a cell interference evaluation method, which can determine an SINR corresponding to an MR based on an RSRP of a main serving cell in the MR reported by a terminal device and an RSRP of at least one neighboring cell of the main serving cell. As shown in fig. 2, the method includes:
s201, the computing device obtains a measurement report MR of the terminal device and network management data of the access network device.
In one possible implementation, the MR includes at least one of an RSRP of the primary serving cell and an RSRP of at least one neighbor of the primary serving cell. The network management data comprises at least one of the average downlink PRB utilization rate of the coverage area of the main service cell and the equipment noise floor value of the access network equipment corresponding to the main service cell.
In a possible implementation manner, a neighboring cell of the at least one neighboring cell is a neighboring cell whose RSRP is greater than or equal to a preset threshold among all neighboring cells of the primary serving cell.
The specific implementation process of the computing device determining at least one neighboring cell may be: the computing equipment acquires the MR from the terminal equipment, determines RSRPs of all adjacent cells included in the MR, screens the RSRPs which are larger than or equal to a preset threshold value from the RSRPs of all adjacent cells, and determines that the adjacent cell corresponding to the screened RSRPs which are larger than or equal to the preset threshold value is at least one adjacent cell.
Illustratively, RSRPs of 5 neighbors (e.g., neighbor #1, neighbor #2, neighbor #3, neighbor #4, and neighbor #5) are included in the MR. The RSRP of the adjacent cell #1 is-85 dBm; the RSRP of the neighbor cell #2 is-84 dBm; the RSRP of the neighbor cell #3 is-86 dBm; the RSRP of the neighbor cell #4 is-87 dBm; the RSRP of neighbor #5 is-89 dBm. If the preset threshold is-87 dBm, the RSRP of the adjacent region #1, the adjacent region #2, the adjacent region #3 and the adjacent region #4 is larger than or equal to the preset threshold, and the adjacent region #1, the adjacent region #2, the adjacent region #3 and the adjacent region #4 are determined to be at least one adjacent region.
Optionally, the specific implementation process of the computing device determining at least one neighboring cell may also be: the computing device obtains an MR from the terminal device, arranges RSRPs of all neighbor cells included in the MR in a descending order, and determines the RSRPs of M neighbor cells with the maximum RSRP values in the arrangement result as the RSRP of at least one neighbor cell of the main service cell.
Illustratively, RSRPs of 7 neighbors (e.g., neighbor #6, neighbor #7, neighbor #8, neighbor #9, neighbor #10, neighbor #11, and neighbor #12) are included in the MR. The RSRP of the neighbor cell #6 is-85 dBm; the RSRP of the neighbor cell #7 is-84 dBm; the RSRP of the neighbor cell #8 is-86 dBm; the RSRP of the neighbor cell #9 is-87 dBm; the RSRP of the neighbor cell #10 is-89 dBm; the RSRP of the neighbor cell #11 is-88 dBm; the RSRP of neighbor #12 is-83 dBm. The computing device sorts the 7 neighboring cells in the order of decreasing RSRP, and the ranking result is shown in table 1 below. If M is 5, then at least one neighbor is neighbor #12, neighbor #7, neighbor #6, neighbor #8, and neighbor # 9. In this case, the RSRP of at least one neighbor cell is-83 dBm, -84dBm, -85dBm, -86dBm, and-87 dBm, respectively.
TABLE 1
S202, the computing device determines the signal to interference plus noise ratio SINR corresponding to the MR according to the MR and the network management data.
It should be noted that, the specific implementation process of S202 may be: the computing device determines the RSRP of the primary serving cell in the MR as the corresponding useful signal power of the MR. And the computing equipment determines the interference signal power corresponding to the MR according to the RSRP of at least one neighbor cell of the main service cell in the MR and the average downlink PRB utilization rate of the coverage area of the main service cell. And the computing equipment determines the SINR corresponding to the MR according to the useful signal power corresponding to the MR, the interference signal power corresponding to the MR and the equipment background noise value of the access network equipment.
S203, the computing device evaluates the interference of the main service cell of the terminal device according to the SINR corresponding to the MR of the main service cell.
In a possible implementation manner, when performing cell interference evaluation based on SINR corresponding to MR, the computing device may perform rasterization interference evaluation by combining latitude and longitude information in MR, and may more accurately locate an interference cell or an interference grid, so that an operator may accurately optimize the interference cell or the interference grid, thereby improving service experience of a user.
The technical scheme at least has the following beneficial effects: according to the cell interference evaluation method provided by the application, the computing device can directly use the data in the MR and the data (namely network management data) in the network management system of the access network device to determine the SINR. Because the data in the MR and the data in the network management system are easy to obtain, the SINR can be simply and quickly determined by determining the SINR based on the MR and the network management data.
In addition, the cell interference evaluation method provided by the application can also avoid manual field survey for acquiring the data, so that the labor cost is reduced, and the SINR determination efficiency can be improved.
It should be noted that the MR may be any MR of the terminal devices, and the present application is not limited in this respect. The terminal device may also be any terminal device in a communication network, and the present application is not limited thereto.
With reference to fig. 2, as shown in fig. 3, in one possible implementation manner of S202, the following steps S301 to S304 may be specifically implemented.
S301, the computing device determines the useful signal power corresponding to the MR according to the RSRP of the main service cell.
In one possible implementation, the computing device determines the RSRP of the primary serving cell as the corresponding useful signal power of the MR.
S302, the computing device determines the average downlink PRB utilization rate of the coverage area of the main service cell and the device noise floor value of the access network device corresponding to the main service cell.
The specific implementation process of S302 is as follows: the calculation equipment firstly determines the downlink PRB utilization rate of all cells in the coverage area of the main service cell, and then determines the average value of the downlink PRB utilization rates of all the cells to obtain the average downlink PRB utilization rate of the coverage area of the main service cell.
Illustratively, all cells within the primary serving cell coverage area include: cell #1, cell #2, cell #3, and cell # 4. The utilization rate of the downlink PRB of the cell #1 is 60 percent; the utilization rate of the downlink PRB of the cell #2 is 50%; the downlink PRB utilization for cell #3 is 61%; the utilization rate of the downlink PRB of the cell #4 is 49%; the downlink PRB utilization for cell #5 is 55%. In this case, the computing device sums the downlink PRB utilization rates of the 5 neighboring cells (i.e. 275%), and then divides the sum result by the number of cells (i.e. 5), so as to obtain the average downlink PRB utilization rate (i.e. 55%) of the coverage area of the primary serving cell.
And the computing equipment computes the equipment background noise value of the access network equipment under the no-load condition according to the formula 2.
It should be noted that, under the condition that the access network device normally operates, the device noise floor value of the access network device is within a preset range. If the device background noise value of the access network device is not within the preset range, the access network device may be strongly interfered or the device of the access network device may be damaged.
And S303, the computing equipment determines the interference signal power corresponding to the MR according to the average downlink PRB utilization rate and the RSRP of at least one adjacent cell.
It should be noted that the frequency domain resources used by the main serving cell and the at least one neighboring cell when transmitting data are not necessarily completely overlapped, and therefore, the signal of the main serving cell and the signal of the at least one neighboring cell are not necessarily completely overlapped in the frequency domain. The signal of the main serving cell is interfered by a part of the signal of the at least one neighboring cell which is overlapped with the signal of the main serving cell in the frequency domain, and the signal of the main serving cell is not interfered by another part of the signal which is not overlapped in the frequency domain. In this case, if the computing device determines the RSRP sum of at least one neighboring cell as the interference signal power corresponding to the MR, the interference signal power is greater than the actual interference signal power, and further affects the subsequent SINR calculation. Therefore, the computing device uses the average downlink PRB utilization rate as a weight value, and multiplies the weight value by the RSRP of at least one adjacent cell to determine the interference signal power corresponding to the MR, so that the determined interference signal power is closer to the actual interference signal power.
S304, the computing device determines the SINR corresponding to the MR according to the useful signal power corresponding to the MR, the interference signal power corresponding to the MR and the device noise floor value of the access network device.
It should be noted that, the specific implementation process of S205 is as follows: and the computing equipment takes the useful signal power corresponding to the MR as S, the interference signal power corresponding to the MR as I and the equipment background noise value of the access network equipment as N. The computing device is again based on S, I, N above, and equation 1 (i.e.
) And determining the SINR corresponding to the MR.
The technical scheme at least has the following beneficial effects: according to the cell interference evaluation method provided by the application, a computing device acquires an MR from a terminal device, wherein the MR comprises Reference Signal Received Power (RSRP) of a main service cell of the terminal device and RSRP of at least one adjacent cell of the main service cell; and determining the average downlink Physical Resource Block (PRB) utilization rate of the coverage area of the main service cell and the equipment background noise value (namely N) of the access network equipment corresponding to the main service cell. The computing equipment determines the useful signal power (namely S) corresponding to the MR according to the RSRP of the main service cell; and determining the interference signal power (i.e. I) corresponding to the MR according to the average downlink PRB utilization rate and the RSRP of at least one adjacent cell. And the computing device determines the SINR corresponding to the MR according to the useful signal power (namely S) corresponding to the MR, the interference signal power (namely I) corresponding to the MR, and the device noise floor value (namely N) of the access network device. In this way, the data in the MR and the network management data of the access network device (e.g., average downlink PRB utilization, device noise floor of the access network device) can be directly used to determine the SINR. Because the data in the MR and the network management data are easy to obtain, the SINR can be simply and quickly determined by determining the SINR based on the MR and the network management data.
In addition, the cell interference evaluation method provided by the application can also avoid manual field survey for acquiring the data, so that the labor cost is reduced, and the SINR determination efficiency can be improved.
In one possible implementation, the average downlink PRB usage includes at least one of a first average downlink PRB usage within a first preset time period and a second average downlink PRB usage within a second preset time period. The first predetermined time period may be a time period (commonly referred to as a "busy hour" time period) during which the number of users is large in one day (i.e., 24 hours). For example, the first preset time period is 7:00-10:00, and 20:00-24: 00. The second preset time may be a time period other than the first preset time period in a day (generally referred to as an "idle time" period). For example, the first preset time period is 0:00-6:00, and 11:00-19: 00. The first preset time period and the second preset time period may be set according to actual situations, and the present application is not limited in any way.
The condition that the MR is reported in the first preset time period is recorded as a condition 1, and the condition that the MR is reported in the second preset time period is recorded as a condition 2.
In case 1, the MR is an MR reported within a first preset time period.
In case 1, the interference signal power of the SINR is determined according to the first average downlink PRB utilization and RSRP of at least one neighbor cell of the primary serving cell.
In a possible implementation manner, in a case that the MR is an MR reported within a first preset time period, the interference signal power of the SINR satisfies the following formula:
wherein, I is the interference signal power corresponding to MR. PRB1Is the first average downlink PRB utilization. RSRPkThe RSRP of the kth adjacent cell in the at least one adjacent cell is obtained. And N is the number of at least one adjacent region. k. N is a positive integer, and k is less than or equal to N.
In this case, the SINR for MR satisfies the following equation:
wherein, RSRPMain service communityIs the RSRP of the primary serving cell. Setting of access network equipment corresponding to PN serving cellAnd (5) preparing a background noise value.
It should be noted that, in the process of calculating the SINR according to the above formula 4, it needs to first determine whether the access network device corresponding to the MR is a device in the LTE system or a device in the 5G system. If the access network device corresponding to the MR is a device in the LTE system, the PN may be the value calculated in example 1 above; if the access network device corresponding to the MR is a device in a 5G system, the PN may be the value calculated in example 2 above.
Illustratively, table 2 below shows an example of the useful signal power corresponding to the MR, the interference signal power corresponding to the MR, the device noise floor of the access network device, and the SINR calculated by equation 4.
The PSPR of the primary serving cell included in the MR data is-100 dBm, and RSRP of 5 neighbor cells. The RSRP of the neighbor cell #13 is-110 dBm; the RSRP of the neighbor #14 is-112 dBm; the RSRP of the neighbor cell #15 is-115 dBm; the RSRP of neighbor #16 is-115 dBm; the RSRP of neighbor #17 is-118 dBm. The downlink average PRB utilization is 50%. The device noise floor was-123.22 dBm.
The specific calculation process of the SINR is as follows: the RSRP of the 5 neighboring cells is converted from dBm to mW by the computing device. The RSRP of the adjacent region #13 is converted into 1.00E-11 mW; the RSRP of the adjacent region #14 is converted into 6.31E-12 mW; the RSRP of the adjacent cell #15 is converted into 3.16E-12 mW; the RSRP of the adjacent cell #16 is converted into 3.16E-12 mW; the RSRP of the adjacent region #17 is converted into 1.58E-12 mW. And the computing equipment adds the RSRPs of the 5 adjacent cells to obtain the superposed signal intensity (namely 2.42E-11mW) of the adjacent cells. And the computing equipment multiplies the signal intensity of the adjacent cell by the downlink average PRB utilization rate to obtain the interference signal power (namely 1.21E-11 mW). The computing equipment converts the equipment background noise value into a unit of mW, namely the equipment background noise value is converted into 4.77E-13 mW. The computing equipment sums the interference signal power in mW and the equipment background noise value in mW to obtain a fitted interference signal power (i.e. interference signal power + equipment background noise value) of 1.26E-11 mW. The computing device scales the fitted interference signal power to units of dBm, i.e., the fitted interference signal power to-109.00 dBm. The computing device divides the RSRP of the primary serving cell (i.e., -100dBm) by the fitted interference signal power (i.e., -109dBm) to obtain an SINR (i.e., 9.00 dB).
In one possible implementation, the interference signal power may be further determined by: after converting the RSRPs of the 5 neighboring cells into units of mW, the computing device sequentially multiplies the RSRPs of the 5 neighboring cells by the average downlink PRB utilization rate (i.e., 50%). The multiplication of the RSRP of the adjacent cell #13 and the average downlink PRB utilization rate is 5.00E-12 mW; the multiplication of the RSRP of the adjacent cell #14 and the average downlink PRB utilization rate is 3.15E-12 mW; the multiplication of the RSRP of the adjacent cell #15 and the average downlink PRB utilization rate is 1.58E-12 mW; the multiplication of the RSRP of the adjacent cell #16 and the average downlink PRB utilization rate is 1.58E-12 mW; the multiplication of the RSRP of the adjacent region #17 and the average downlink PRB utilization rate is 7.92E-13 mW. The computing equipment then sums the results of the 5 multiplications to obtain the interference signal power (i.e. 1.21E-11 mW).
TABLE 2
And 2, the MR is reported in a second preset time period.
In case 2, the interference signal power of the SINR is determined according to the second average downlink PRB utilization and RSRP of at least one neighbor cell of the primary serving cell.
In a possible implementation manner, in the case that the MR is an MR reported within a second preset time period, the interference signal power of the SINR satisfies the following formula:
wherein PRB2And the second average downlink PRB utilization rate.
It should be noted that formula 5 can be understood by referring to formula 3 above, and is not described herein again.
In this case (i.e. the MR is the MR reported within the second preset time period), the SINR corresponding to the MR satisfies the following formula:
it should be noted that equation 6 can be understood by referring to equation 4 above, and is not described herein again.
The technical scheme at least has the following beneficial effects: according to the cell interference evaluation method provided by the application, the computing device determines the SINR corresponding to the MR according to the useful signal power (namely S) corresponding to the MR, the interference signal power (namely I) corresponding to the MR, and the device noise floor value (namely N) of the access network device, and adds the SINR to the MR. Therefore, SINR can be included in the MR, and then MR-based cell interference evaluation can be realized.
It is to be understood that the above cell interference estimation method can be implemented by a communication apparatus. In order to implement the above functions, the communication device includes a hardware structure and/or a software module for performing each function. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments disclosed herein.
The communication device generated according to the method example in the embodiments disclosed in the present application may perform division of the functional modules, for example, each functional module may be divided according to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiments disclosed in the present application is schematic, and is only one division of logic functions, and there may be another division manner in actual implementation.
Fig. 4 is a schematic structural diagram of a communication device according to an embodiment of the present invention. As shown in fig. 4, the communication device 40 may be configured to perform the cell interference assessment methods shown in fig. 2-3. The communication device 40 includes a communication unit 401 and a processing unit 402.
A communication unit 401, configured to obtain a measurement report MR of a terminal device and network management data of an access network device;
a processing unit 402, configured to determine, according to the MR and the network management data, a signal to interference plus noise ratio SINR corresponding to the MR;
the processing unit 402 is further configured to evaluate interference of the primary serving cell of the terminal device according to the SINR corresponding to the MR.
In one possible implementation, the MR includes at least one of RSRP of the primary serving cell and RSRP of at least one neighbor cell of the primary serving cell; the network management data comprises at least one of the average downlink PRB utilization rate of the coverage area of the main service cell and the equipment noise floor value of the access network equipment corresponding to the main service cell.
In one possible implementation, the average downlink PRB utilization includes at least one of a first average downlink PRB utilization within a first preset time period and a second average downlink PRB utilization within a second preset time period; under the condition that the MR is the MR reported in the first preset time period, the interference signal power of the SINR is determined according to the first average downlink PRB utilization rate and the RSRP of at least one adjacent cell of the main service cell; and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR is determined according to the utilization rate of the second average downlink PRB and the RSRP of at least one adjacent cell of the main service cell.
In a possible implementation manner, in the case that the MR is an MR reported within a first preset time period, the interference signal power of the SINR satisfies the following formula:
wherein the content of the first and second substances,i is the interference signal power of SINR; PRB1The first average downlink PRB utilization rate is obtained; RSRPkThe RSRP of the kth adjacent cell in the at least one adjacent cell; n is the number of at least one adjacent region; k. n is a positive integer, and k is less than or equal to N; and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR satisfies the following formula:
wherein PRB2And the second average downlink PRB utilization rate.
In a possible implementation manner, in the case that the MR is an MR reported within a first preset time period, the SINR corresponding to the MR satisfies the following formula:
wherein, RSRPMain service communityRSRP for the primary serving cell; the PN is the equipment background noise value of the access network equipment corresponding to the main service cell; under the condition that the MR is reported in a second preset time period, the SINR corresponding to the MR satisfies the following formula:
in a possible implementation manner, at least one neighbor cell is M neighbor cells with the largest RSRP value among all neighbor cells of the main serving cell; m is a positive integer.
Fig. 5 shows another hardware configuration of the communication apparatus in the embodiment of the present invention. As shown in fig. 5, the communication device 50 may include a processor 501, and a communication interface 502. The processor 501 is coupled to a communication interface 502.
The functions of the processor 501 may refer to the description of the processor 501 above. The processor 501 also has a memory function, and the function of the memory 502 can be referred to.
The communication interface 502 is used to provide data to the processor 501. The communication interface 502 may be an internal interface of the communication device, or may be an external interface of the communication device.
It should be noted that the configuration shown in fig. 5 does not constitute a limitation of the communication apparatus 50, and the communication apparatus 50 may include more or less components than those shown in fig. 5, or combine some components, or arrange different components, in addition to the components shown in fig. 5.
It should be noted that the communication device may specifically be the above-mentioned computing device.
Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.
Embodiments of the present invention provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of determining rich media in the above-described method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the apparatus, the device, the computer-readable storage medium, and the computer program product in the embodiments of the present invention may be applied to the method described above, for technical effects obtained by the apparatus, the computer-readable storage medium, and the computer program product, reference may also be made to the method embodiments described above, and details of the embodiments of the present invention are not repeated herein.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to be covered by the scope of the present invention.
Claims (14)
1. A method for cell interference assessment, comprising:
acquiring a measurement report MR of terminal equipment and network management data of access network equipment;
determining a signal to interference plus noise ratio (SINR) corresponding to the MR according to the MR and the network management data;
and evaluating the interference of the main service cell of the terminal equipment according to the SINR corresponding to the MR.
2. The method according to claim 1, wherein the MR comprises: at least one of a reference signal received power, RSRP, of the primary serving cell and an RSRP of at least one neighbor cell of the primary serving cell; the network management data comprises at least one of an average downlink Physical Resource Block (PRB) utilization rate of a coverage area of the main service cell and a device noise floor value of access network equipment corresponding to the main service cell.
3. The method of claim 2, wherein the average downlink PRB usage comprises at least one of a first average downlink PRB usage within a first preset time period and a second average downlink PRB usage within a second preset time period;
when the MR is the MR reported within the first preset time period, determining the interference signal power of the SINR according to the first average downlink PRB utilization and RSRP of at least one neighboring cell of the primary serving cell;
and when the MR is the MR reported in the second preset time period, determining the interference signal power of the SINR according to the second average downlink PRB utilization rate and RSRP of at least one neighboring cell of the primary serving cell.
4. The method of claim 3, wherein in a case that the MR is an MR reported within the first preset time period, the interference signal power of the SINR satisfies the following formula:
wherein, the I is the interference signal power of the SINR; the PRB1Obtaining the first average downlink PRB utilization; the RSRPkThe RSRP of the kth adjacent cell in the at least one adjacent cell; n is the number of the at least one adjacent cell; k. n is a positive integer, and k is less than or equal to N;
and when the MR is the MR reported within the second preset time period, the interference signal power of the SINR satisfies the following formula:
wherein the PRB2And the second average downlink PRB utilization rate is obtained.
5. The method according to claim 4, wherein, when the MR is the MR reported within the first preset time period, the SINR corresponding to the MR satisfies the following formula:
wherein the RSRPMain service communityAn RSRP for the primary serving cell; the PN is a device noise floor value of the access network device corresponding to the main service cell;
when the MR is the MR reported within the second preset time period, the SINR corresponding to the MR satisfies the following formula:
6. the method of claim 1, wherein the neighbor cells of the at least one neighbor cell are neighbor cells of which RSRP is greater than a preset threshold among all neighbor cells of the primary serving cell.
7. A communications apparatus, comprising: a communication unit and a processing unit;
the communication unit is used for acquiring a measurement report MR of the terminal equipment and network management data of the access network equipment;
the processing unit is configured to determine a signal to interference plus noise ratio SINR corresponding to the MR according to the MR and the network management data;
the processing unit is further configured to evaluate interference of a main serving cell of the terminal device according to the SINR corresponding to the MR.
8. The apparatus of claim 7, wherein the MR comprises: at least one of a reference signal received power, RSRP, of the primary serving cell and an RSRP of at least one neighbor cell of the primary serving cell; the network management data comprises at least one of an average downlink Physical Resource Block (PRB) utilization rate of a coverage area of the main service cell and a device noise floor value of access network equipment corresponding to the main service cell.
9. The apparatus of claim 8, wherein the average downlink PRB usage comprises at least one of a first average downlink PRB usage over a first preset time period and a second average downlink PRB usage over a second preset time period;
when the MR is the MR reported within the first preset time period, determining the interference signal power of the SINR according to the first average downlink PRB utilization and RSRP of at least one neighboring cell of the primary serving cell;
and when the MR is the MR reported in the second preset time period, determining the interference signal power of the SINR according to the second average downlink PRB utilization rate and RSRP of at least one neighboring cell of the primary serving cell.
10. The apparatus of claim 9, wherein in a case that the MR is an MR reported within the first preset time period, the interference signal power of the SINR satisfies the following formula:
wherein, the I is the interference signal power of the SINR; the PRB1Is the firstAveraging a downlink PRB utilization; the RSRPkThe RSRP of the kth adjacent cell in the at least one adjacent cell; n is the number of the at least one adjacent cell; k. n is a positive integer, and k is less than or equal to N;
and when the MR is the MR reported within the second preset time period, the interference signal power of the SINR satisfies the following formula:
wherein the PRB2And the second average downlink PRB utilization rate is obtained.
11. The apparatus of claim 10, wherein in a case that the MR is an MR reported within the first preset time period, the SINR corresponding to the MR satisfies the following formula:
wherein the RSRPMain service communityAn RSRP for the primary serving cell; the PN is a device noise floor value of the access network device corresponding to the main service cell;
when the MR is the MR reported within the second preset time period, the SINR corresponding to the MR satisfies the following formula:
12. the apparatus of claim 7, wherein the neighbor cells of the at least one neighbor cell are neighbor cells of which RSRP is greater than a preset threshold among all neighbor cells of the primary serving cell.
13. A computing device, comprising: a processor and a communication interface; the communication interface is coupled to the processor for executing a computer program or instructions for implementing the cell interference assessment method as claimed in any of claims 1-6.
14. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a computer, cause the computer to perform the method for cell interference estimation as claimed in any one of claims 1 to 6.
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