CN114158086B - Cell interference evaluation method, communication device, computing equipment and storage medium - Google Patents

Cell interference evaluation method, communication device, computing equipment and storage medium Download PDF

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Publication number
CN114158086B
CN114158086B CN202111545620.XA CN202111545620A CN114158086B CN 114158086 B CN114158086 B CN 114158086B CN 202111545620 A CN202111545620 A CN 202111545620A CN 114158086 B CN114158086 B CN 114158086B
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cell
rsrp
sinr
signal power
interference
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CN114158086A (en
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刘光海
肖天
薛永备
许国平
程新洲
李�一
郑雨婷
朱小萌
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Abstract

The application provides a cell interference assessment method, a communication device, a computing device and a storage medium, which relate to the technical field of communication and can simply and rapidly 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 serving cell according to the SINR corresponding to the MR. The embodiment of the application is used for the process of evaluating the cell interference based on MR.

Description

Cell interference evaluation method, communication device, computing equipment and storage medium
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a cell interference assessment method, a communications device, a computing device, and a storage medium.
Background
Currently, in order to evaluate the service quality of a cell, the cell is better optimized by the network, the interference evaluation needs to be performed on the cell, and the signal to interference plus noise ratio (signal to interference plus noise ratio, SINR) is a currently commonly used cell interference evaluation index. The SINR refers to the ratio of the strength of the useful downlink signal received by the terminal device to the sum of the strength of the downlink interference signal received by the terminal device and the noise of the access network device corresponding to the terminal device. The SINR may effectively reflect the extent to which the primary serving cell of the terminal device is interfered.
The current method of determining SINR is typically interference signal simulation. The interference signal simulation means that various indexes (such as network load) of the network are simulated, and then the SINR is determined through the various indexes, but the complexity of the interference signal simulation is higher, the restriction on the scene is more, and the efficiency of determining the SINR through the interference signal simulation mode is lower.
Disclosure of Invention
The embodiment of the application provides a cell interference assessment method, a communication device, a computing device and a storage medium, which can simply and rapidly determine SINR.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, a method for evaluating cell interference is provided, the method comprising: acquiring network management data of (measurement result, MR) of the terminal equipment and the 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 brings the following beneficial effects: the cell interference evaluation method provided by the application can directly use the data in the MR and the network management data (namely the 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, so that the accuracy of the SINR can be improved, and the SINR can more truly reflect the current network condition of the terminal equipment. In addition, the cell interference assessment method provided by the application can also avoid the acquisition of the data by manual field investigation, thereby reducing the labor cost and improving the SINR determination efficiency.
In one possible implementation, the MR includes at least one of a reference signal received power (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 an average downlink physical resource block (physical resource block, PRB) utilization of a coverage area of the primary serving cell and a device floor noise 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 over a first preset time period and a second average downlink PRB utilization over a second preset time period; under the condition that the MR is reported in a 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 neighbor cell of the main service cell; and under the condition that the MR is reported in a second preset time period, the interference signal power of the SINR is determined according to the second average downlink PRB utilization rate and the RSRP of at least one neighbor cell of the main service cell.
In one possible implementation manner, in a case where the MR is an MR reported in the first preset period, the interference signal power of the SINR satisfies the following formula:
Wherein, I is the interference signal power of SINR; PRB (physical resource block) 1 The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; RSRP k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of at least one neighbor cell; k. n is a positive integer, and k is less than or equal to N; and under the condition that the MR is reported in a second preset time period, the interference signal power of the SINR meets the following formula:
wherein PRB (physical resource block) 2 And the second average downlink PRB utilization rate.
In one possible implementation manner, in a case where the MR is an MR reported in the first preset period, the SINR corresponding to the MR satisfies the following formula:
wherein RSRP Main service district RSRP for the primary serving cell; PN is the device bottom noise value of the access network device corresponding to the main service cell; and 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 one possible implementation manner, at least one neighboring cell is M neighboring cells with the largest RSRP value among all neighboring 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 the 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 also used for evaluating the interference of the main service cell of the terminal equipment according to the SINR corresponding to the MR.
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 cell of the primary serving cell; the network management data includes at least one of average downlink PRB utilization of a coverage area of the primary serving cell and a device floor noise 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 over a first preset time period and a second average downlink PRB utilization over a second preset time period; under the condition that the MR is reported in a 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 neighbor cell of the main service cell; and under the condition that the MR is reported in a second preset time period, the interference signal power of the SINR is determined according to the second average downlink PRB utilization rate and the RSRP of at least one neighbor cell of the main service cell.
In one possible implementation manner, in a case where the MR is an MR reported in the first preset period, the interference signal power of the SINR satisfies the following formula:
Wherein, I is the interference signal power of SINR; PRB (physical resource block) 1 The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; RSRP k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of at least one neighbor cell; k. n is a positive integer, and k is less than or equal to N; and under the condition that the MR is reported in a second preset time period, the interference signal power of the SINR meets the following formula:
wherein PRB (physical resource block) 2 And the second average downlink PRB utilization rate.
In one possible implementation manner, in a case where the MR is an MR reported in the first preset period, the SINR corresponding to the MR satisfies the following formula:
wherein RSRP Main service district RSRP for the primary serving cell; PN is the device bottom noise value of the access network device corresponding to the main service cell; and 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 one possible implementation manner, at least one neighboring cell is M neighboring cells with the largest RSRP value among all neighboring cells of the main serving cell; m is a positive integer.
In a third aspect, the present application provides a communication device comprising: a processor and a communication interface; the communication interface is coupled to a processor for running a computer program or instructions to implement the cell interference assessment method as described in any one of the possible implementations of the first aspect and the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein which, when run on a terminal, cause the terminal to perform a cell interference assessment method as described in any one of the possible implementations of the first aspect and the first aspect.
In a fifth aspect, the present application provides a computer program product comprising instructions which, when run on a communication device, cause the communication device to perform a cell interference assessment method as described in any one of the possible implementations of the first aspect and the first aspect.
In a sixth aspect, the present application provides a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a computer program or instructions to implement a cell interference assessment method as described in any one of the possible implementations of the first aspect and the first aspect.
In particular, the chip provided in the present application further includes a memory for storing a computer program 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 method for evaluating cell interference according to an embodiment of the present application;
Fig. 3 is a flowchart of another method for evaluating cell interference 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 following describes in detail a cell interference evaluation method and device provided in an embodiment of the present application with reference to the accompanying drawings.
The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.
The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or for distinguishing between different processes of the same object and not for describing a particular sequential order of objects.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not 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 "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.
The following explains the terms related to the embodiments of the present application, so as to facilitate the understanding of the reader.
1. SINR (Signal to interference plus noise ratio)
The SINR refers to the ratio of the strength of the useful downlink signal received by the terminal device to the sum of the strength of the 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 (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 causes the interference between cells to become larger. If the interference between cells becomes large, the data transmission rate and the data transmission quality of the terminal device are continuously reduced. The data transmission rate and the data transmission quality of the above terminal device may be affected by the following indicators: SINR, channel quality indication (channel quanlity indicator, CQI), modulation and coding scheme (modulation and coding scheme, MCS) index value, channel sounding reference signal (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 data transmission quality of the terminal device.
Currently, there is no specific definition of SINR in communication protocols, such as the third generation partnership project (the 3rd Generation Partner Project,3GPP) protocol. The general expression of SINR is as follows in equation 1:
the signal (S) refers to the power of the 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 (physical downlink shared channel, PDSCH).
The interference (I) refers to the power of the interference signal received by the terminal device.
The interference signal includes: interference from other cells within the same system, and interference from cells within other systems.
noise (N for short) refers to the device floor noise value of the access network device to which the terminal device is connected.
In the 5G network, the SINR may also be referred to as a secondary synchronization-SINR (secondary synchronization-SINR, SS-SINR). The SS-SINR refers to the ratio of the signal strength of the secondary synchronization signal (secondary synchronization signal, SSs) received by the terminal device to the signal strength of the interference signal received by the terminal device.
2. Equipment noise floor
The device noise floor refers to 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×lg (KTW) +nf formula 2
Wherein K refers to the boltzmann constant. In the no-load condition, K is 1.38X10 -23 J/K。
T refers to the Kelvin temperature. In the no-load condition, 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 9dB. In a 5G system, NF is 10dB.
Example 1, the signal bandwidth of the device is 15000Hz, and the device is a device in the LTE system. The equipment bottom noise under the no-load condition is:
PN＝10×lg(1.38×10 -23 J/K×290K×15×1000Hz)+9dB＝-123.22dBm
example 2, the signal bandwidth of the device was 30000Hz and the device was a device in a 5G system. The equipment bottom noise under the no-load condition is:
PN＝10×lg(1.38×10 -23 J/K×290K×30×1000Hz)+10dB＝-119.21dBm
3. RSRP
RSRP refers to a measurement value of the received power level of a terminal device in an LTE network or a 5G network, i.e. the power value of a signal actually received by the terminal device. RSRP may be used for weak coverage and over coverage analysis of cells.
4. MR (magnetic resonance)
MR is a report reported by a terminal device that can reflect the current network metrics of the terminal device. The network index may include at least one of the following: the method comprises the steps of RSRP of a main serving cell, RSRP of at least one neighbor cell and longitude and latitude information of terminal equipment.
In general, the terminal device reports the MR once every a period of time, so that the data in the MR has real-time property. The time of reporting the MR interval by the terminal device can be set by an operator according to the actual condition of the network, and the application is not limited in any way.
The foregoing is a simplified description of some of the concepts involved in the embodiments of this application.
As shown in fig. 1, fig. 1 shows 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 examples.
It should be noted that fig. 1 is only an exemplary frame diagram, and the number of nodes included in fig. 1 is not limited, and other nodes may be included in addition to the functional nodes shown in fig. 1, for example: core network devices, gateway devices, application servers, etc., are not limited.
The access network device 101 is mainly used for implementing functions of resource scheduling, radio resource management, radio access control, etc. of the terminal device 102. In particular, the access network device 101 may be any of a small base station, a wireless access point, a transceiver point (transmission receive point, TRP), a transmission point (transmission point, TP), and some other access node.
The terminal device 102 is located within the coverage of the access network device 101, connects to the access network device 101, and may report measurement reports (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 transceiver function, and may also be a Virtual Reality (VR) terminal, an augmented reality (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 smart grid, a wireless terminal in smart city (smart home), a vehicle-mounted terminal, and the like. In the embodiment of the present application, the means for implementing the function of the terminal device 102 may be the terminal device 102, or may be a device capable of supporting the terminal device 102 to implement the function, for example, a chip system.
The computing device 103 is used to determine the MR-corresponding SINR 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 embodiments of the present application is for more clearly describing the technical solution of the embodiments of the present application, and does not constitute a limitation on the technical solution provided in the embodiments of the present application, and as a person of ordinary skill in the art can know, with evolution of the network architecture and appearance of a new communication system, the technical solution provided in the embodiments of the present application is equally applicable to similar technical problems.
Currently, SINR determination methods generally include method 1 and method 2. Mode 1 and mode 2 are described in detail below.
Mode 1, manual test analysis mode.
The manual test analysis refers to the field test of the data by the staff, and then the SINR is obtained by analyzing the data.
The problem with embodiment 1 is that: manual test analysis requires operators to go to the field for testing, which also causes problems of high labor cost, low efficiency of SINR determination, and the like.
Mode 2, mode of interference signal simulation.
The interference signal simulation means simulating various indexes (e.g., network load) of the network, and determining the SINR through the various indexes.
Mode 2 has the following problems: the complexity of the interference signal simulation is high, the restriction on the scene is more, and the efficiency of determining the SINR by the interference signal simulation is low.
The method for determining the SINR based on the MR is lower in cost and higher in efficiency compared with the method 1, and can simply and quickly determine the SINR compared with the method 2. SINR data is not typically included in current MRs, however,
for example, no specific definition of SINR is involved in the communication protocol of the LTE/4G network. The terminal equipment in the LTE/4G network measures SINR based on Resource Blocks (RBs), namely the terminal equipment needs to measure the SINR of each RB, converts the measured SINR into CQI, and reports the CQI to the access network equipment. When the terminal equipment reports the CQI, the decoding capability of the terminal equipment is considered, so that the SINR corresponding to the CQI reported by the terminal equipment is the SINR corresponding to the most significant character (most signification character, MSC) which can be decoded by the terminal equipment, and is not the SINR actually measured by the terminal equipment. 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 MR including SINR, and another part of terminal devices cannot report MR including SINR due to manufacturer limitations or own capability limitations, which may result in that there is no SINR in MR reported by a part of terminal devices in the 5G/NR network.
In the case where SINR is not included in the MR, interference analysis of the cell based on the MR will not be possible.
Therefore, the present application provides a method for evaluating cell interference, which can determine SINR corresponding to MR based on RSRP of a primary serving cell and RSRP of at least one neighbor cell of the primary serving cell in MR reported by a terminal device. As shown in fig. 2, the method includes:
s201, the computing device acquires a measurement report MR of the terminal device and network management data of the access network device.
In a possible implementation, the MR includes at least one of an 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 average downlink PRB utilization of a coverage area of the primary serving cell and a device floor noise value of an access network device corresponding to the primary serving cell.
In a possible implementation manner, the neighbor cell in the at least one neighbor cell is a neighbor cell with RSRP greater than or equal to a preset threshold value in all neighbor 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 RSRP of all adjacent cells included in the MR, screens out RSRP larger than or equal to a preset threshold value from the RSRP of all adjacent cells, and determines that the adjacent cell corresponding to the screened RSRP larger than or equal to the preset threshold value is at least one adjacent cell.
Illustratively, RSRP 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 neighbor 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 neighbor #4 is-87 dBm; the RSRP of neighbor #5 is-89 dBm. If the preset threshold is-87 dBm, RSRP of the adjacent cell #1, the adjacent cell #2, the adjacent cell #3 and the adjacent cell #4 are all larger than or equal to the preset threshold, and then the adjacent cell #1, the adjacent cell #2, the adjacent cell #3 and the adjacent cell #4 are determined to be at least one adjacent cell.
Optionally, the specific implementation process of determining at least one neighboring cell by the computing device may further be: the computing device obtains the MR from the terminal device, arranges the RSRP of all the neighbor cells included in the MR according to the sequence from big to small, and determines the RSRP of M neighbor cells with the largest RSRP value in the arrangement result as the RSRP of at least one neighbor cell of the main service cell.
Illustratively, RSRP 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 neighbor #6 is-85 dBm; the RSRP of neighbor cell #7 is-84 dBm; the RSRP of neighbor #8 is-86 dBm; the RSRP of neighbor #9 is-87 dBm; the RSRP of neighbor #10 is-89 dBm; the RSRP of neighbor #11 is-88 dBm; the RSRP of neighbor #12 is-83 dBm. The computing device ranks the 7 neighbor cells in order of RSRP from high to low, and the ranking result is shown in table 1 below. If M is 5, at least one neighbor cell is neighbor cell #12, neighbor cell #7, neighbor cell #6, neighbor cell #8, and neighbor cell #9. In this case, the RSRP of at least one neighbor 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 an RSRP of a primary serving cell in the MR as a useful signal power corresponding to the MR. The computing device determines interference signal power corresponding to the MR according to RSRP of at least one neighbor cell of the main serving cell in the MR and average downlink PRB utilization of a coverage area of the main serving 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 equipment evaluates the interference of the main service cell of the terminal equipment according to the SINR corresponding to the MR of the main service cell.
In a possible implementation manner, when the computing device performs cell interference evaluation based on the SINR corresponding to the MR, the computing device may perform rasterized interference evaluation in combination with longitude and latitude information in the MR, so that an interference cell or an interference grid may be more accurately located, so that an operator may accurately optimize the interference cell or the interference grid, and further service experience of a user is improved.
The technical scheme at least brings the following beneficial effects: according to the cell interference assessment method, the computing device can directly use data in the MR and 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 acquire, the SINR can be simply and quickly determined based on the MR and the network management data.
In addition, the cell interference assessment method provided by the application can also avoid the acquisition of the data by manual field investigation, thereby reducing the labor cost and improving the SINR determination efficiency.
It should be noted that the MR may be any MR of the terminal device, which is not limited in this application. The terminal device may be any terminal device in a communication network, which is not limited in this application.
In one possible implementation of S202, as shown in fig. 3 in connection with fig. 2, this may be achieved specifically by the following S301-S304.
And S301, the computing equipment 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 MR-corresponding useful signal power.
S302, the computing equipment determines the average downlink PRB utilization rate of the coverage area of the main service cell and the equipment bottom noise value of the access network equipment corresponding to the main service cell.
The specific implementation process of S302 is as follows: the computing 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 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 downlink PRB utilization of cell #1 is 60%; the downlink PRB utilization of cell #2 is 50%; the downlink PRB utilization of cell #3 is 61%; the downlink PRB utilization of cell #4 is 49%; the downlink PRB utilization of cell #5 is 55%. In this case, the computing device sums (i.e. 275%) the downlink PRB utilization of the 5 neighboring cells, and divides the sum by the number of cells (i.e. 5), to obtain an average downlink PRB utilization of the coverage area of the primary serving cell (i.e. 55%).
The computing device calculates a device floor noise value of the access network device under no-load conditions according to equation 2.
It should be noted that, under the condition that the access network device works normally, the device background noise 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 subjected to stronger interference or the device of the access network device may be damaged.
And S303, the computing equipment determines interference signal power corresponding to the MR according to the average downlink PRB utilization rate and the RSRP of at least one neighbor cell.
It should be noted that, the frequency domain resources used by the primary serving cell and the at least one neighboring cell when transmitting data do not necessarily coincide completely, and therefore, the signal of the primary serving cell and the signal of the at least one neighboring cell do not necessarily coincide completely in the frequency domain. The signal of the main service cell is interfered by a part of signals overlapping with the signal of the main service cell in the frequency domain in the signals of at least one adjacent cell, and the signal of the main service cell is not interfered by another part of signals not overlapping in the frequency domain. In this case, if the sum of RSRP of at least one neighboring cell is determined as the interference signal power corresponding to MR, the interference signal power will be greater than the actual interference signal power, which in turn affects the calculation of the subsequent SINR. Therefore, the computing device multiplies the average downlink PRB utilization by the sum of RSRP of at least one neighbor cell as a weight value to determine the interference signal power corresponding to the MR, and the interference signal power thus determined 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 background noise value of the access network device.
It should be noted that the specific implementation process of S205 is as follows: the computing device takes the useful signal power corresponding to the MR as S, the interference signal power corresponding to the MR as I, and the device background noise value of the access network device as N. The computing device then responds to S, I, N, equation 1 (i.e) And determining the SINR corresponding to the MR.
The technical scheme at least brings the following beneficial effects: according to the cell interference assessment method, a computing device acquires 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 neighbor cell of the main service cell; and determining the average utilization rate of the downlink physical resource blocks PRB of the coverage area of the main service cell and the equipment bottom noise value (namely N) of the access network equipment corresponding to the main service cell. The computing equipment determines the useful signal power (S) corresponding to the MR according to the RSRP of the main service cell; and determining the interference signal power (I) corresponding to the MR according to the average downlink PRB utilization rate and the RSRP of at least one neighbor cell. The computing device determines the SINR corresponding to the MR according to the useful signal power (i.e., S) corresponding to the MR, the interfering signal power (I) corresponding to the MR, and the device floor noise value (i.e., N) of the access network device. This allows the SINR to be determined directly using the data in the MR and the network management data of the access network device (e.g., average downlink PRB utilization, device floor noise value of the access network device). Because the data in the MR and the network management data are easy to acquire, the SINR can be simply and quickly determined based on the MR and the network management data.
In addition, the cell interference assessment method provided by the application can also avoid the acquisition of the data by manual field investigation, thereby reducing the labor cost and improving the SINR determination efficiency.
In a possible implementation, the average downlink PRB utilization includes at least one of a first average downlink PRB utilization over a first preset time period and a second average downlink PRB utilization over a second preset time period. The first preset time period may be a time period of a large number of users in a day (i.e., 24 hours) (commonly referred to as a "busy hour" time period). For example, the first preset time period is 7:00-10:00, and 20:00-24:00. The second preset time may be another time period (commonly referred to as an "idle" time period) of the day other than the first preset 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, which is not limited in any way in the present application.
The case where MR is reported in the first preset time period is referred to as case 1, and the case where MR is reported in the second preset time period is referred to as case 2.
The case 1 and the MR are reported MRs in 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 the RSRP of at least one neighbor cell of the primary serving cell.
In a possible implementation manner, in a case where the MR is an MR reported in a first preset period, the interference signal power of the SINR satisfies the following formula:
wherein I is the interference signal power corresponding to MR. PRB (physical resource block) 1 And the first average downlink PRB utilization rate. RSRP k Is the RSRP of the kth neighbor cell of the at least one neighbor cell. N is the number of at least one neighbor cell. k. N is a positive integer, and k is less than or equal to N.
In this case, the SINR corresponding to MR satisfies the following equation:
wherein RSRP Main service district RSRP for the primary serving cell. PN is the device bottom noise value of the access network device corresponding to the main service cell.
In the process of calculating the SINR according to the above formula 4, it is necessary to 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 the above example 1; if the access network device to which the MR corresponds is a device in a 5G system, the PN may be the value calculated in example 2 above.
Illustratively, table 2 below is an example of the MR-corresponding useful signal power, MR-corresponding interfering signal power, the device floor noise value 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, RSRP of 5 neighbor cells. The RSRP of neighbor #13 is-110 dBm; the RSRP of neighbor #14 is-112 dBm; the RSRP of neighbor #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 floor noise was-123.22 dBm.
The specific calculation process of the SINR is as follows: the computing device converts RSRP of the 5 adjacent cells from dBm to mW. The RSRP of the neighbor cell #13 is converted into 1.00E-11mW; the RSRP of the neighbor cell #14 is converted into 6.31E-12mW; the RSRP of the neighbor #15 is converted into 3.16E-12mW; the RSRP of the neighbor #16 is converted into 3.16E-12mW; the RSRP of neighbor #17 was converted to 1.58E-12mW. The computing device adds the RSRPs of the 5 adjacent cells to obtain the adjacent cell superposition signal intensity (namely 2.42E-11 mW). The computing device multiplies the neighbor signal strength by the downlink average PRB utilization to obtain interference signal power (i.e. 1.21E-11 mW). The computing device converts the device floor noise value to units of mW, i.e., the device floor noise value is converted to 4.77E-13mW. The computing device sums the interference signal power in mW and the device background noise value in mW to obtain a fitting interference signal power (i.e. interference signal power+device background noise value) of 1.26E-11mW. The computing device scales the fitted interference signal power to units of dBm, i.e., the fitted interference signal power scales to-109.00 dBm. The computing device divides the RSRP of the primary serving cell (i.e., -100 dBm) by the fitting interference signal power (i.e., -109 dBm) to obtain an SINR (i.e., 9.00 dB).
In a possible implementation, the interference signal power may also be determined by: after converting the RSRP of the 5 adjacent cells into the unit of mW, the computing device multiplies the RSRP of the 5 adjacent cells by the average downlink PRB utilization (i.e. 50%) in sequence. The RSRP of the neighbor cell #13 is multiplied by the average downlink PRB utilization rate to be 5.00E-12mW; the RSRP of the adjacent cell #14 is multiplied by the average downlink PRB utilization rate to be 3.15E-12mW; the RSRP of the neighbor cell #15 is multiplied by the average downlink PRB utilization rate to be 1.58E-12mW; the RSRP of the adjacent cell #16 is multiplied by the average downlink PRB utilization rate to be 1.58E-12mW; the RSRP of neighbor #17 is multiplied by the average downlink PRB utilization to 7.92E-13mW. The computing device then sums the 5 multiplication results to obtain the interference signal power (i.e., 1.21E-11 mW).
TABLE 2
And the case 2 and the MR are reported MR 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 the RSRP of at least one neighbor cell of the primary serving cell.
In a possible implementation manner, in a case where the MR is an MR reported in the second preset period, the interference signal power of the SINR satisfies the following formula:
wherein PRB (physical resource block) 2 And the second average downlink PRB utilization rate.
It should be noted that, the formula 5 can be understood with reference to the formula 3, and will not be repeated here.
In this case (i.e., MR is the MR reported in the second preset period), the SINR corresponding to MR satisfies the following equation:
it should be noted that, the formula 6 can be understood with reference to the formula 4, and will not be described herein.
The technical scheme at least brings the following beneficial effects: according to the cell interference assessment method, the computing device determines the SINR corresponding to the MR according to the useful signal power (S) corresponding to the MR, the interference signal power (I) corresponding to the MR and the device background noise value (N) of the access network device, and adds the SINR to the MR. This allows SINR to be included in the MR, which in turn allows MR-based cell interference assessment.
It will be appreciated that the above-described cell interference assessment method may be implemented by a communication device. In order to achieve 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 implemented as hardware or computer software driven 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 disclosed embodiments.
The communication device according to the embodiment of the present disclosure may perform division of functional modules according to the communication device generated by the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment disclosed in the present application, the division of the modules is merely a logic function division, and other division manners may be implemented in actual practice.
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 method shown in fig. 2-3. The communication device 40 comprises 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 a signal-to-interference-plus-noise ratio SINR corresponding to the MR according to the MR and the network management data;
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 an 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 average downlink PRB utilization of a coverage area of the primary serving cell and a device floor noise 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 over a first preset time period and a second average downlink PRB utilization over a second preset time period; under the condition that the MR is reported in a 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 neighbor cell of the main service cell; and under the condition that the MR is reported in a second preset time period, the interference signal power of the SINR is determined according to the second average downlink PRB utilization rate and the RSRP of at least one neighbor cell of the main service cell.
In one possible implementation manner, in a case where the MR is an MR reported in the first preset period, the interference signal power of the SINR satisfies the following formula:
Wherein, I is the interference signal power of SINR; PRB (physical resource block) 1 The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; RSRP k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of at least one neighbor cell; k. n is a positive integer, and k is less than or equal to N; and under the condition that the MR is reported in a second preset time period, the interference signal power of the SINR meets the following formula:
wherein PRB (physical resource block) 2 And the second average downlink PRB utilization rate.
In one possible implementation manner, in a case where the MR is an MR reported in the first preset period, the SINR corresponding to the MR satisfies the following formula:
wherein RSRP Main service district RSRP for the primary serving cell; PN is the device bottom noise value of the access network device corresponding to the main service cell; and 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 one possible implementation manner, at least one neighboring cell is M neighboring cells with the largest RSRP value among all neighboring 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 function of the processor 501 may be as described above with reference to the processor 501. 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 an external interface of the communication device.
It should be noted that the structure shown in fig. 5 does not constitute a limitation of the communication device 50, and that the communication device 50 may include more or less components than shown in fig. 5, or may combine some components, or may be arranged differently.
It should be noted that the communication apparatus may be specifically the above-mentioned computing device.
From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, when the computer executes the instructions, the computer executes each step in the method flow shown in the 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 of the method embodiments described above.
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 a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill 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. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In embodiments of the present 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, device, computer readable storage medium, and computer program product in the embodiments of the present invention can be applied to the above-mentioned method, the technical effects that can be obtained by the apparatus, device, computer readable storage medium, and computer program product can also refer to the above-mentioned method embodiments, and the embodiments of the present invention are not described herein again.
The present invention is not limited to the above embodiments, and any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention.

Claims (10)

1. A method for evaluating cell interference, comprising:
acquiring a measurement report MR of the terminal equipment and network management data of the 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;
evaluating the interference of a main service cell of the terminal equipment according to the SINR corresponding to the MR;
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 average downlink Physical Resource Block (PRB) utilization rate of a coverage area of the main service cell and equipment base noise value of access network equipment corresponding to the main service cell;
The average downlink PRB utilization rate comprises at least one of a first average downlink PRB utilization rate in a first preset time period and a second average downlink PRB utilization rate in a second preset time period;
if the MR is the MR reported in the first preset time period, determining interference signal power of the SINR according to the first average downlink PRB utilization and RSRP of at least one neighbor cell of the primary serving cell;
if 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 and the RSRP of at least one neighbor cell of the primary serving cell;
the determining the signal-to-interference-plus-noise ratio SINR corresponding to the MR according to the MR and the network management data includes:
determining the RSRP of a main serving cell in the MR as useful signal power corresponding to the MR; determining interference signal power corresponding to the MR according to RSRP of at least one neighbor cell of the main service cell in the MR and average downlink PRB utilization rate of a coverage area of the main service cell; and determining 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.
2. The method of claim 1, wherein the interference signal power of the SINR satisfies the following equation in the case where the MR is the MR reported in the first preset time period:
wherein, the I is the interference signal power of the SINR; the PRB (physical resource block) 1 The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; the RSRP k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of the at least one neighbor cell; 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 meets the following formula:
wherein the PRB is 2 And the second average downlink PRB utilization rate is the second average downlink PRB utilization rate.
3. The method of claim 2, wherein, in the case where the MR is an MR reported in the first preset period, the SINR corresponding to the MR satisfies the following formula:
wherein the RSRP Main service district RSRP for the primary serving cell; the PN is the equipment bottom noise value of the access network equipment corresponding to the main service cell;
and under the condition that the MR is the MR reported in the second preset time period, the SINR corresponding to the MR meets the following formula:
4. The method of claim 1, wherein a neighbor cell of the at least one neighbor cell is a neighbor cell of all neighbor cells of the primary serving cell having an RSRP greater than a preset threshold.
5. 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;
the processing unit is further configured to evaluate interference of a primary serving cell of the terminal device according to the SINR corresponding to the MR;
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 average downlink Physical Resource Block (PRB) utilization rate of a coverage area of the main service cell and equipment base noise value of access network equipment corresponding to the main service cell;
the average downlink PRB utilization rate comprises at least one of a first average downlink PRB utilization rate in a first preset time period and a second average downlink PRB utilization rate in a second preset time period;
If the MR is the MR reported in the first preset time period, determining interference signal power of the SINR according to the first average downlink PRB utilization and RSRP of at least one neighbor cell of the primary serving cell;
if 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 and the RSRP of at least one neighbor cell of the primary serving cell;
the processing unit is specifically configured to determine that an RSRP of a primary serving cell in the MR is useful signal power corresponding to the MR; determining interference signal power corresponding to the MR according to RSRP of at least one neighbor cell of the main service cell in the MR and average downlink PRB utilization rate of a coverage area of the main service cell; and determining 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.
6. The apparatus of claim 5, wherein the interference signal power of the SINR satisfies the following equation if the MR is an MR reported during the first preset time period:
Wherein, the I is the interference signal power of the SINR; the PRB (physical resource block) 1 The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; the RSRP k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of the at least one neighbor cell; 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 meets the following formula:
wherein the PRB is 2 And the second average downlink PRB utilization rate is the second average downlink PRB utilization rate.
7. The apparatus of claim 6, wherein, in the case where the MR is an MR reported in the first preset time period, the SINR corresponding to the MR satisfies the following formula:
wherein the RSRP Main service district RSRP for the primary serving cell; the PN is the equipment bottom noise value of the access network equipment corresponding to the main service cell;
and under the condition that the MR is the MR reported in the second preset time period, the SINR corresponding to the MR meets the following formula:
8. the apparatus of claim 5, wherein a neighbor cell of the at least one neighbor cell is a neighbor cell of all neighbor cells of the primary serving cell having an RSRP greater than a preset threshold.
9. A computing device, comprising: a processor and a communication interface; the communication interface being coupled to the processor for running a computer program or instructions to implement the cell interference assessment method as claimed in any one of claims 1-4.
10. A computer readable storage medium having instructions stored therein, characterized in that when executed by a computer, the computer performs the cell interference assessment method according to any of the preceding claims 1-4.
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