CN116033469A - Interference measurement method, base station and computer readable storage medium - Google Patents
Interference measurement method, base station and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses an interference measurement method, a base station and a computer readable storage medium, which are used for improving the accuracy of user terminal pairing interference measurement. The method comprises the following steps: the base station groups a plurality of user terminals in a sector to obtain N user groups, wherein the user terminals in each user group are positioned in the same area, and N is an integer greater than or equal to 2; the base station configures different channel state information interference measurement (CSI-IM) resources for N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
Description
Technical Field
The embodiments of the present application relate to the field of communications technologies, and in particular, to an interference measurement method, a base station, and a computer readable storage medium.
Background
Multiple input multiple output (multiple input multiple output, MIMO) enables multiple transmission and multiple reception through multiple antennas, greatly providing system capacity, and is an important transmission technology for current wireless communication systems. In the downlink direction, if the base station transmits data to a plurality of user terminals using the same time-frequency resources, it is called multi-user MIMO (MU-MIMO). The process of selecting multiple user space division multiplexed time frequency resources is referred to as pairing. After pairing, the system needs to dynamically select the modulation coding scheme (modulation and coding scheme, MCS) of the signal according to the channel state changing in real time to ensure the transmission quality of the link.
The base station configures an appropriate channel state information reference signal (CSI-RS) resource to the user terminal, where the CSI-RS includes a channel state information interference measurement (channel state information-interference measurement, CSI-IM) resource. The user terminal measures the CSI-RS, calculates the required CSI, reports the CSI to the base station, and the base station performs scheduling adjustment and beam management related work according to the reported CSI, so that the reporting of the CSI is very important. All users in one sector configure the same CSI-IM resources and different sectors configure different CSI-IM resources. On the configured CSI-IM resources, the base station does not send signals, and the signals measured by the user terminal are interference signals from the neighbor cells.
Because inter-sector interference signals are measured and inter-user interference is ignored, the CSI reported to the base station by the user terminal is inaccurate, the pairing of users is limited or the correlation of weight values cannot accurately reflect pairing interference, and the multi-user MCS is converted into inaccuracy.
Disclosure of Invention
The embodiment of the application provides an interference measurement method, a base station and a computer readable storage medium, which are used for solving the problem of inaccurate measurement of user pairing interference in a sector.
An embodiment of the present application provides an interference measurement method, including: the base station groups a plurality of user terminals in a sector to obtain N user groups, wherein the user terminals in each user group are positioned in the same area, and N is an integer greater than or equal to 2; the base station configures different channel state information interference measurement (CSI-IM) resources for N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
Thus, by dividing the user terminals located in the same area into the same user group and configuring different CSI-IM resources for different user groups, the user terminals of different user groups separately measure the interference signals. The user terminal can measure the interference from the adjacent sectors and the interference of other user terminals in the same sector, so that the accuracy of the measurement of the user pairing interference is improved, the accuracy of the CSI reported to the base station by the user terminal is further improved, the accuracy of the use is further improved, and the selection accuracy of the multi-user MCS is further improved.
In some possible implementations, the base station grouping a plurality of user terminals in a sector, obtaining N user groups includes: the base station acquires channel vectors of a plurality of user terminals; and the base station groups the plurality of user terminals according to the plurality of channel vectors to obtain N user groups.
In some possible implementations, grouping the plurality of user terminals according to the plurality of channel vectors includes: the base station calculates the correlation between each channel vector and N preset matrixes to obtain N correlation values corresponding to each user terminal, and each preset matrix corresponds to a region; and dividing the user terminals into user groups corresponding to the preset matrixes corresponding to the maximum values in the N correlation values by the base station. By calculating the correlation value between each channel vector and N preset matrixes, a plurality of user terminals are grouped, and the grouping accuracy of the user terminals can be improved.
In some possible implementations, grouping the plurality of user terminals according to the plurality of channel vectors includes: the base station calculates user channel correlation values between every two of the plurality of channel vectors; when the user channel correlation value of the two channel vectors is larger than a threshold value, the base station divides the user terminals corresponding to the two channel vectors into the same user group; when the user channel correlation value of the two channel vectors is smaller than or equal to the threshold value, the base station divides the user terminals corresponding to the two channel vectors into different user groups.
A second aspect of embodiments of the present application provides a base station, including: the grouping module is used for grouping a plurality of user terminals in the sector to obtain N user groups, wherein the user terminals in each user group are positioned in the same area, and N is an integer greater than or equal to 2; and the configuration module is used for configuring different CSI-IM resources for N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
In some possible implementations, the grouping module is specifically configured to: obtaining channel vectors of a plurality of user terminals; and grouping the plurality of user terminals according to the plurality of channel vectors to obtain N user groups.
In some possible implementations, the grouping module is specifically configured to: respectively calculating the correlation between each channel vector and N preset matrixes to obtain N correlation values corresponding to each user terminal, wherein each preset matrix corresponds to a region; dividing the user terminals into user groups corresponding to the preset matrixes corresponding to the maximum values in the N correlation values.
In some possible implementations, the grouping module is specifically configured to: calculating user channel correlation values between every two of the plurality of channel vectors; when the user channel correlation value of the two channel vectors is larger than a threshold value, dividing the user terminals corresponding to the two channel vectors into the same user group; and dividing the user terminals corresponding to the two channel vectors into different user groups when the user channel correlation values of the two channel vectors are smaller than or equal to the threshold value.
A third aspect of embodiments of the present application provides a base station, including: one or more central processing units, a memory, an input/output interface, a wired or wireless network interface, and a power supply; the memory is a short-term memory or a persistent memory; the central processor is configured to communicate with the memory and to execute the instructions in the memory on the base station to perform the method of any of the interference measurement methods described above or any of its possible implementations.
A fourth aspect of the embodiments of the present application includes instructions that, when executed on a computer, cause the computer to perform the method of any of the above-described interference measurement methods or any of their possible implementations.
Drawings
Fig. 1 is a schematic structural diagram of a communication system according to an embodiment of the present application;
fig. 2 is a schematic diagram of beam patterns based on a static shared beam scheme;
fig. 3 is a schematic flow chart of an interference measurement method provided in the present application;
fig. 4 is a schematic diagram of a base station for grouping user terminals provided in the present application;
fig. 5 is a flow chart of another embodiment of an interference measurement method provided in the present application;
fig. 6 is a schematic structural diagram of a base station according to an embodiment of the present application;
fig. 7 is another schematic structural diagram of a base station according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides an interference measurement method, a base station and a computer readable storage medium, which are used for improving the accuracy of interference detection of a terminal.
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the MIMO system, a large number of antennas are deployed at the base station side, and the antennas can be connected with a plurality of different user terminals in a cell, so that the base station can simultaneously provide services for the plurality of user terminals by using the same time-frequency resource, and the system spectrum utilization rate is improved.
The more the number of the antennas deployed at the base station side is, the more orthogonal the channel matrix among the users in the cell tends to be, and the less the interference among the users multiplexing the same time-frequency resource is. However, in an actual application scenario, the number of antennas deployed at the base station end is limited, so that channel vectors between users in a cell cannot be completely orthogonal, and common channel interference is generated between users multiplexing the same time-frequency resources. The existence of co-channel interference can reduce the system capacity and the system throughput, cause the waste of system resources and greatly affect the performance of the system. In order to eliminate co-channel interference generated between users multiplexing the same time-frequency resources, the time-frequency resources limited by the system are fully utilized, and in the related technology, similar user terminals such as channel quality indication (channel quality indicator, CQI) are generally used for attempting pairing.
When the CQI fed back by the ue to the base station is inaccurate, the pairing of the ue is inaccurate, so it is important how to improve the CSI parameters (including CQI) fed back by the ue.
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 embodiment of the application can be applied to a communication system, wherein the communication system comprises a base station and a user terminal, and the base station and the user terminal are in communication link and can perform information interaction. The number of user terminals may be plural and randomly distributed within the cell covered by the base station. The user terminal may be a 4G terminal or a 5G terminal. The base station may be an eNode or a gNode. A base station typically has an antenna array that can be used for sector beamforming, i.e., forming multiple beams, to signal coverage for multiple sectors, equivalent to achieving 360 ° (split by multiple sectors) omni-directional coverage. For example, if a sector corresponds to a coverage area of 120 °, the base station may perform beam forming based on three sectors, as shown in fig. 2, and fig. 2 is a schematic diagram of beam shapes based on a static shared beam scheme; the base station may form a plurality of fixed beams corresponding to one of the sectors (the other two sectors also each corresponding to a plurality of fixed beams), wherein each fixed beam is used to cover an area in that sector. Thus, different UEs located in the same sector can transmit uplink signals to the base station through the fixed beam corresponding to the sector.
The user terminal is configured to periodically or aperiodically transmit a channel sounding reference signal (sounding reference signal, SRS) to the base station. And the base station receives the SRS signal and performs channel estimation according to the SRS signal.
In the LTE system, the SRS is usually transmitted at the last two OFDM symbol positions of 1 slot, and may occupy only the last 1 OFDM symbol. In an NR system, 1 or 2 or 4 consecutive SRS signals may be transmitted within the last 6 OFDM symbols of 1 slot. The SRS supports a maximum of 4 antenna ports, while the CSI-RS supports a maximum of 32 antenna ports. The SRS may be multiplexed in a comb-like form in the frequency domain. The SRS signal has periodicity, configurability, and independent existence, that is, data need not be transmitted, and may be transmitted independently.
Specific effects of SRS signals are as follows: for channel quality estimation, thereby enabling frequency selective scheduling (e.g., corresponding to different parameters associated with uplink multi-antenna transmission), beam management, etc. in the uplink; various initialization functions can also be performed by the power control enhancement and the currently unscheduled UE; under the condition of mutual benefits of uplink and downlink channels, channel symmetry is utilized to estimate the quality of the downlink channels.
In the embodiment of the application, the base station further utilizes the SRS signal to group the user terminals in the sector, and configures different channel state information interference measurement (channel state information-interference measurement, CSI-IM) resources for different groups of user terminals. On the resource units configured with CSI-IM, the base station 0 transmits power to detect interference of neighboring cells, thereby better reflecting the transmission activity of neighboring cells. The base station configures different CSI-IM resources for the user terminals in different user groups, so that the user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains, the user terminals can obtain more accurate user pairing interference measurement results, and the user terminals can feed back more accurate CSI parameters to the base station.
Specifically, referring to fig. 3, fig. 3 is a flow chart of an interference measurement method provided in the present application, where an execution body of the embodiment is a base station, and the embodiment includes the following steps:
s301: the base station groups a plurality of user terminals in the sector to obtain N user groups.
The number of the user terminals is K, for example, where K is an integer greater than or equal to 2. It can be understood that the ue described in this application is currently a ue in a connection state with the base station. N is an integer greater than or equal to 2. The user group is used for indicating that the user terminals classified into the same user group are located in the same area. I.e. the distance between users within a group of users is relatively close and located in the same area. There may be greater interference in the channels between users within the same user group.
Specifically, the base station receives SRS signals transmitted by a plurality of user terminals in a certain sector. The base station estimates the uplink channel vector of each user terminal according to the SRS signals, calculates the correlation of the user channel vectors, and groups a plurality of users according to the channel vectorization of the user terminals.
There are various methods for calculating the correlation value of the user channel vector:
1. calculating correlation between channel vector of user and preset channel
The base station may determine, based on the N correlation values corresponding to the channel vectors, which user groups the user terminal corresponding to the channel vector is assigned to by calculating the correlation value of each channel vector and the N preset matrices.
The areas corresponding to the N preset matrices may cover the sector, so that the user terminals in the entire sector may be grouped, where the areas corresponding to the N preset matrices do not overlap or partially overlap.
The preset matrixes are matrixes corresponding to a plurality of fixed beams in a sector formed by the base station, and different preset matrixes have different weights, so that the shaped fixed beams point to different directions of the sector, namely each preset matrix indicates an area in the sector.
The formula for calculating the correlation of the preset matrix and the channel vector of the user is as follows:
wherein ρ is the correlation, w i Channel vector, w, for the ith user terminal of the K user terminals j The j preset matrix is the j preset matrix in the N preset matrixes. (. Cndot. H Is a conjugate transpose operation.
N may be 2, 4, 8 or 16, etc. Taking N as 4 as an example, a sector is divided into 4 areas, each area corresponds to a preset matrix, and a total of 4 preset matrices correspond to 4 user groups. The larger N is, the more the cell is divided into regions, the smaller the region range is, and the more accurate the positioning of the user terminal is, but the workload of calculating the correlation is increased. In practical application, the value of N may be determined according to the size of the coverage area of the base station or how many user terminals are in the cell. For example, when the number of user terminals in a cell is large, the cell may be divided into 4 or 8 areas, i.e., N is 4 or 8, so that users are reasonably grouped.
The larger the correlation value is, the closer the channel vector of the user terminal is to the direction indicated by the preset matrix, and the greater the possibility that the position of the user terminal is in the area corresponding to the preset matrix is; the smaller the correlation value, the farther the channel vector of the ue is from the direction indicated by the preset matrix, and the less likely the ue is located in the area corresponding to the preset matrix.
After the base station obtains N correlation values of the channel vector of each user terminal, determining a preset matrix corresponding to the maximum value in the N correlation values, and dividing the user terminal into user groups corresponding to the preset matrix with the maximum correlation value. The correlation value is the largest in the N correlation values, which indicates that the user terminal is closest to the area indicated by the preset matrix corresponding to the largest correlation value or is located in the area indicated by the preset matrix corresponding to the largest correlation value, so that the grouping of users can be more accurate by dividing the user terminal into the user groups corresponding to the preset matrix with the largest correlation value.
The base station respectively executes the correlation values of the calculated channel vectors and the preset matrix on a plurality of user terminals, and groups the user terminals according to the maximum correlation value so as to complete the grouping of K user terminals in the sector and obtain N user groups.
For example, as shown in fig. 4, fig. 4 is a schematic diagram of a base station for grouping user terminals provided in the present application, where there are 11 user terminals U1, U2, U3 … U10, U11 in a sector of the base station, and the base station configures 4 preset matrices H1, H2, H3, and H4 for the sector, that is, the sector is divided into 4 areas, and there are 4 user groups in total, where H1 corresponds to area 1 and user groups 1, H2 corresponds to area 2 and user groups 2, H3 corresponds to area 3 and user groups 3, and H4 corresponds to area 4 and user group 4.
The base station calculates a correlation value ρ1 between the channel vector of the user terminal U1 and H1, a correlation value ρ2 between H2 and H3, a correlation value ρ3 between H3, and a correlation value ρ4 between H4. If the base station determines that ρ2 is the largest from ρ1, ρ2, ρ3 and ρ4, the base station divides the user terminal U1 into the user group 2 corresponding to H2.
The base station performs the above-described operations on the channel vector of each user terminal until the grouping of 11 user terminals is completed: the user group 1 comprises U2, U3 and U6, the user group 2 comprises U1 and U5, the user group 3 comprises U4, U8 and U9, and the user group 4 comprises U7, U10 and U11.
The grouping of the user terminals is determined by calculating the correlation value between the channel vector of the user terminal and the preset matrix, so that a plurality of user terminals can be simply and accurately grouped.
2. Computing correlations between channel vectors of users
In other embodiments, the base station may also utilize correlations between channel vectors of multiple user terminals to group the user terminals.
Specifically, the base station calculates the correlation of channel vectors between every two users to obtain a user channel correlation value between two user terminals. If there are M user terminals in a sector, then M x (M-1)/2 user channel correlation values can be obtained.
The formula for calculating the correlation of the user channel is as follows:
wherein h is m Channel vector h representing user terminal m among K user terminals n Channel vector ρ representing user terminal n of the K user terminals m,n A user channel correlation value between user terminal m and user terminal n, 0 ρ m,n ≤1,(·) H Is a conjugate transpose operation. The expression |·| represents the euclidean paradigm of solving the channel vector.
Then the base station compares the user channel correlation value with a threshold value, and when the user channel correlation value is larger than the threshold value, the base station divides two user terminals corresponding to the user channel correlation value into the same user group; and when the user channel correlation value is smaller than or equal to the threshold value, the base station divides the two user terminals corresponding to the user channel correlation value into different user groups until grouping of all the user terminals is completed.
If the user terminal grouping conflicts, the sizes of the user channel correlation values can be compared for grouping. For example, the user channel correlation value of the a user terminal and the B user terminal is x, the user channel correlation value of the a user terminal and the C user terminal is y, and the user channel correlation value of the B user terminal and the C user terminal is z, where x and y are greater than a threshold value, and z is less than the threshold value, the magnitudes of x and y can be compared, if x is greater than y, the a user terminal and the B user terminal are in the same group, and the C user terminal is not in the same group as the a user terminal and the B user terminal; if y is greater than x, the A user terminal is in the same group as the C user terminal, and the B user terminal is not in the same group as the A user terminal and the C user terminal.
In addition to grouping the user terminals using channel vectors, the user terminals may also be grouped using the signal strength of the uplink reference signal received by the base station. Specifically, the base station receives an uplink reference signal sent by a user terminal through N fixed beams of a sector, and the base station detects the signal strength of each fixed beam for receiving the uplink reference signal, so as to obtain N signal strength values. The base station further determines a fixed beam corresponding to the maximum value from the N signal intensity values, and divides the user terminal into a user group corresponding to the fixed beam corresponding to the maximum signal intensity value.
S302: the base station configures different CSI-IM resources for N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
The base station specifically configures CSI-IM resources in different subframes for user terminals in different user groups, for example, so that the user terminals in different user groups measure interference in different time periods. Of course, the base station may also configure CSI-IM resources for different user groups on different frequency domains of the same subframe, so that detection efficiency may be improved.
On a target CSI-IM resource unit configured by a target user group (a user group performing interference detection among N user groups), the base station does not send a signal to a user terminal of the target user group, and user terminals of other user groups map data on the target CSI-IM resource unit, so that interference signals measured by user terminals in the target user group have interference signals from both neighboring cells and user terminals of other user groups in the same sector. Therefore, the interference signals detected by the user terminals in the target user group are more accurate, so that the CSI parameters reported to the base station by the user terminals in the target user group are more accurate, and the base station can pair the user terminals in the sector more accurately according to the accurate CSI parameters, thereby improving the transmission quality of the multi-user MIMO link.
Based on the illustration of fig. 4, the base station configures CSI-IM resources for the target resource elements of the user terminals in user group 1 in subframe 1, and maps data for the target resource elements of the user terminals in user group 2, user group 3, and user group 4 in subframe 1. On the target resource unit of subframe 1, for the user terminal of user group 1, the base station does not send a signal; for user terminals of other user groups, the base station transmits data. Therefore, on the time frequency corresponding to the target resource unit of the subframe 1, the user terminal in the user group 1 can detect the interference signals of the adjacent cells and the interference signals of the user terminals in other user groups in the same sector, so that the CSI parameters detected by the user terminal in the user group 1 are more accurate.
Similarly, the base station configures CSI-IM resources in the subframe 2 for the user terminals of the user group 2, and maps data for the target resource units of the user terminals in the subframe 2, the user group 3 and the user group 4, so that the user terminals in the user group 2 detect interference signals of neighboring cells and interference signals of the user terminals in other user groups in the same sector, and CSI parameters detected by the user terminals in the user group 2 are improved. User group 3 and user group 4 and so on.
Fig. 5 is a schematic flow chart of another embodiment of an interference measurement method provided in the present application. The implementation main body of the embodiment is a base station and a user terminal. The embodiment comprises the following steps:
s501: the plurality of user terminals transmit SRS signals to the base station.
The plurality of user terminals periodically or aperiodically transmit SRS signals to the base station, respectively. The plurality of user terminals may transmit SRS signals to the base station at the same time or may transmit SRS signals at different times within one time window.
S502: the base station receives SRS signals sent by a plurality of user terminals.
The base station may receive SRS signals transmitted by a plurality of user terminals simultaneously or within a time window.
S503: and the base station groups the plurality of user terminals in the sector according to the SRS signals to obtain N user groups.
The base station estimates corresponding channel vectors according to SRS signals from a plurality of user terminals.
The base station calculates a correlation value between the channel vector of each user and N preset matrixes, or calculates a correlation value of the channel vectors of the two-by-two user terminals, and groups the plurality of user terminals based on the correlation value. In particular, reference may be made to step S301, and thus will not be described herein.
S504: the base station configures different CSI-IM resources for N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
The present step is similar to step S302, and thus will not be described herein.
S505: user terminals in different user groups respectively finish interference detection based on corresponding CSI-IM resources.
When the CSI-IM of the user terminals in one user group is to be measured, the base station transmits data to the user terminals in other user groups at the time-frequency resource position occupied by the CSI-IM, the user terminal base station in the detected user group does not transmit signals, and the user terminals in the detected user group receive signals of the corresponding time-frequency resource position, so that the interference degree of the user terminals in the adjacent cells and other user groups on the user terminals in the user group can be estimated.
S506: and the plurality of user terminals send the CSI parameters to the base station.
And the user terminal generates and sends a CSI report to the base station according to the interference detected by the CSI-IM.
Among them, the CSI report includes Rank indication (RI: rank Indicator), precoding matrix indication (PMI: precoding Matrix Indicator), CQI, and the like.
S507: and the base station pairs the user terminal according to the CSI parameters.
Because the CSI parameters fed back by the user terminal to the base station are accurate, the base station can pair the user terminal more accurately. The base station can also select a modulation and coding scheme (MCS: modulation and Coding Scheme), i.e., adaptive modulation and coding (AMC: adaptive Modulation and Coding), of the signal for the user terminal according to the CSI parameter, thereby improving the transmission quality of the link.
The foregoing is a specific description of a method for interference measurement provided in the embodiment of the present application, hereinafter, a base station provided in the embodiment of the present application will be described, and fig. 6 is a schematic structural diagram of the base station provided in the embodiment of the present application, where the base station 600 includes:
the grouping module 601 is configured to group a plurality of user terminals in a sector to obtain N user groups, where the user terminals in each user group are located in the same area, and N is an integer greater than or equal to 2.
A configuration module 602, configured to configure different CSI-IM resources for N user groups, so that user terminals in different user groups perform user pairing interference measurement in different time domains or frequency domains.
Optionally, the grouping module 601 is specifically configured to: obtaining channel vectors of a plurality of user terminals; and grouping the plurality of user terminals according to the plurality of channel vectors to obtain N user groups.
Optionally, the grouping module 601 is specifically configured to: respectively calculating the correlation between each channel vector and N preset matrixes to obtain N correlation values corresponding to each user terminal, wherein each preset matrix corresponds to a region; dividing the user terminals into user groups corresponding to the preset matrixes corresponding to the maximum values in the N correlation values.
Optionally, the grouping module 601 is specifically configured to: calculating user channel correlation values between every two of the plurality of channel vectors; when the user channel correlation value of the two channel vectors is larger than a threshold value, dividing the user terminals corresponding to the two channel vectors into the same user group; and dividing the user terminals corresponding to the two channel vectors into different user groups when the user channel correlation values of the two channel vectors are smaller than or equal to the threshold value.
The embodiment of the application also provides a base station, and fig. 7 is another schematic structural diagram of the base station provided in the embodiment of the application, where the base station includes: one or more central processing units 701, a memory 702, an input output interface 703, a wired or wireless network interface 704, a power supply 705;
the central processor 701 is configured to communicate with the memory 702 and to execute the operations of the instructions in the memory 702 on the base station to perform the method steps performed by the base station in the embodiment shown in fig. 2.
Embodiments of the present application also relate to a computer storage medium for storing computer software instructions for use with the base station described above, including for executing a program designed for the base station.
The base station may be as described in fig. 6 or fig. 7.
Embodiments of the present application also relate to a computer program product comprising computer software instructions that may be loaded by a processor to implement the flow in the embodiment shown in fig. 2 described above.
It should be noted that, for convenience and brevity of description, the content of information interaction and execution process between the modules/units of the above-mentioned apparatus, because the content is based on the same concept as the method embodiment of the present application, the technical effects brought by the content are the same as the method embodiment of the present application, and specific content can be referred to the description in the method embodiment shown in the foregoing application, which is not repeated here.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (RAM, random access memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Claims (10)
1. A method of interference measurement, the method comprising:
the base station groups a plurality of user terminals in a sector to obtain N user groups, wherein the user terminals in each user group are positioned in the same area, and N is an integer greater than or equal to 2;
and the base station configures different channel state information interference measurement (CSI-IM) resources for the N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
2. The method of claim 1, wherein the base station grouping a plurality of user terminals in a sector to obtain N user groups comprises:
the base station acquires channel vectors of the plurality of user terminals;
and the base station groups the plurality of user terminals according to the plurality of channel vectors to obtain the N user groups.
3. The method of claim 2, wherein said grouping said plurality of user terminals according to a plurality of said channel vectors comprises:
the base station calculates the correlation between each channel vector and N preset matrixes respectively to obtain N correlation values corresponding to each user terminal, wherein each preset matrix corresponds to one region;
and dividing the user terminal into the user group corresponding to a preset matrix corresponding to the maximum value in the N correlation values by the base station.
4. The method of claim 2, wherein said grouping said plurality of user terminals according to a plurality of said channel vectors comprises:
the base station calculates user channel correlation values between every two of the plurality of channel vectors;
when the user channel correlation values of the two channel vectors are larger than a threshold value, the base station divides the user terminals corresponding to the two channel vectors into the same user group;
and when the user channel correlation values of the two channel vectors are smaller than or equal to a threshold value, the base station divides the user terminals corresponding to the two channel vectors into different user groups.
5. A base station, the base station comprising:
the grouping module is used for grouping a plurality of user terminals in a sector to obtain N user groups, wherein the user terminals in each user group are positioned in the same area, and N is an integer greater than or equal to 2;
and the configuration module is used for configuring different CSI-IM resources for the N user groups so that user terminals in different user groups can perform user pairing interference measurement in different time domains or frequency domains.
6. The base station of claim 5, wherein the grouping module is specifically configured to:
obtaining channel vectors of the plurality of user terminals;
and grouping the plurality of user terminals according to the plurality of channel vectors to obtain the N user groups.
7. The base station according to claim 6, wherein the grouping module is specifically configured to:
respectively calculating the correlation between each channel vector and N preset matrixes to obtain N correlation values corresponding to each user terminal, wherein each preset matrix corresponds to one region;
dividing the user terminal into the user group corresponding to a preset matrix corresponding to the maximum value in the N correlation values.
8. The base station according to claim 6, wherein the grouping module is specifically configured to:
calculating user channel correlation values between every two of the plurality of channel vectors;
when the user channel correlation values of the two channel vectors are larger than a threshold value, dividing the user terminals corresponding to the two channel vectors into the same user group;
and dividing the user terminals corresponding to the two channel vectors into different user groups when the user channel correlation values of the two channel vectors are smaller than or equal to a threshold value.
9. A base station, the base station comprising: one or more central processing units, a memory, an input/output interface, a wired or wireless network interface, and a power supply;
the memory is a short-term memory or a persistent memory;
the central processor is configured to communicate with the memory and to execute instruction operations in the memory on the base station to perform the method of any of claims 1 to 4.
10. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 4.
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