CN113453246B

CN113453246B - Interference measurement method, device, base station and storage medium

Info

Publication number: CN113453246B
Application number: CN202010226937.6A
Authority: CN
Inventors: 郭婧; 朱剑驰; 李南希; 佘小明; 陈鹏
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2020-03-27
Filing date: 2020-03-27
Publication date: 2024-03-26
Anticipated expiration: 2040-03-27
Also published as: CN113453246A

Abstract

The disclosure discloses an interference measurement method, an interference measurement device, a base station and a storage medium, and relates to the technical field of wireless communication. The method comprises the following steps: obtaining a mapping relation between CMR and IMR; and determining an L1-SINR interference measurement value corresponding to the IMR according to the mapping relation between the CMR and the IMR and the measurement result based on the CSI-RS resource. According to the method and the device, the mapping relation between the CMR for channel measurement and the IMR for interference measurement is configured, and the CMR measurement value can make a certain reference for the IMR measurement value, so that the CSI-RS resource is fully utilized, and the accuracy of L1-SINR interference measurement is improved.

Description

Interference measurement method, device, base station and storage medium

Technical Field

The disclosure relates to the technical field of wireless communication, and in particular relates to an interference measurement method, an interference measurement device, a base station and a storage medium.

Background

An NR (New Radio), new air interface interference measurement technology is one of the important issues of the 3GPP Rel-16 protocol version. In the application scenarios of Multi-TRP (Multi-transmit Receive Point, multi-transceiver node) and Multi-beam, the interference sources are numerous, and the Multi-user interference situations among cells and among cells, the same TRP and different TRPs, the same beam and different beams are more complex and various. Especially for MU-MIMO (Multi-User Multiple-Input Multiple-Output), it is very important to obtain accurate MU-CQI (Multi-User channel quality indication, multi-User channel quality index), and the scheduling and precoding optimization schemes of the relational base station have significant influence on the system performance. Therefore, how to obtain accurate interference measurements is extremely critical.

Disclosure of Invention

The technical problem to be solved by the present disclosure is to provide an interference measurement method, a device base station and a storage medium, which can improve the accuracy of L1-SINR interference measurement.

According to an aspect of the present disclosure, an interference measurement method is provided, including: obtaining a mapping relation between channel measurement resources CMR and interference measurement resources IMR; and determining a layer 1 signal-to-noise ratio L1-SINR interference measurement value corresponding to the IMR based on a measurement result of the channel state information reference signal (CSI-RS) resource according to the mapping relation of the CMR and the IMR.

In some embodiments, the mapping of CMR and IMR is: 1 CMR corresponds to N IMRs, wherein N is a positive integer greater than or equal to 1.

In some embodiments, the dedicated interference measurement resource type is configured in radio resource control, RRC, signaling as a non-zero power, NZP-IMR, type.

In some embodiments, determining the L1-SINR interference measurements corresponding to the IMR includes: determining each IMR measured value based on the measurement result of the CSI-RS resource according to the mapping relation between the CMR and the IMR; and carrying out logarithmic domain summation on the N IMR measured values to obtain an L1-SINR interference measured value.

In some embodiments, determining the L1-SINR interference measurements corresponding to the IMR includes: determining each IMR measured value based on the measurement result of the CSI-RS resource according to the mapping relation between the CMR and the IMR; selecting a preset number of IMR measured values with the largest measured value from N IMR measured values; and carrying out logarithmic domain summation on a preset number of IMR measurement values with the maximum measurement values to obtain L1-SINR interference measurement values.

According to another aspect of the present disclosure, there is also provided an interference measurement apparatus including: the mapping relation acquisition unit is configured to acquire the mapping relation between the channel measurement resource CMR and the interference measurement resource IMR; and the interference measurement unit is configured to determine a layer 1 signal-to-noise ratio L1-SINR interference measurement value corresponding to the IMR based on a measurement result of the channel state information reference signal (CSI-RS) resource according to the mapping relation of the CMR and the IMR.

According to another aspect of the present disclosure, there is also provided an interference measurement apparatus including: a memory; and a processor coupled to the memory, the processor configured to perform an interference measurement method as described above based on instructions stored in the memory.

According to another aspect of the present disclosure, there is also provided a base station including: the interference measuring device.

According to another aspect of the disclosure, a computer-readable storage medium is also presented, on which computer program instructions are stored, which instructions, when executed by a processor, implement the above-mentioned interference measurement method.

In the embodiment of the disclosure, the CMR measurement value can make a certain reference to the IMR measurement value by configuring the mapping relation between the CMR for channel measurement and the IMR for interference measurement, so that the CSI-RS resource is fully utilized, and the accuracy of L1-SINR interference measurement is improved.

Other features of the present disclosure and its advantages will become apparent from the following detailed description of exemplary embodiments of the disclosure, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.

The disclosure may be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings in which:

fig. 1 is a flow diagram of some embodiments of an interference measurement method of the present disclosure.

Fig. 2 is a flow chart of other embodiments of the interference measurement method of the present disclosure.

Fig. 3 is a schematic structural view of some embodiments of the interference measurement device of the present disclosure.

Fig. 4 is a schematic structural diagram of some embodiments of an interference measurement device of the present disclosure.

Detailed Description

Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless it is specifically stated otherwise.

Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.

Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but should be considered part of the specification where appropriate.

In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.

For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same.

On 3gpp ran1#97 conferences, it is discussed how to configure the reference signal type for interference measurement in case of configuring a dedicated IMR. For example, configuring the reference signal types for interference measurement at the network side includes: ZP CSI-RS (Non-Zero Power Channel State Information-Reference Signal), NZP (Non-zero power) CSI-RS, and both ZP CSI-RS and NZP CSI-RS are included.

Fig. 1 is a flow diagram of some embodiments of an interference measurement method of the present disclosure. The method is performed by the network side.

At step 110, a mapping relationship of CMR (Channel Measurement Resource, channel measurement resources) and IMR (Interference Measurement Resource, interference measurement resources) is obtained.

In some embodiments, the mapping of CMRs to IMRs is preconfigured. The mapping relation between the CMR and the IMR is, for example, 1-to-N mapping or N-to-1 mapping, where N is a positive integer greater than or equal to 1. CMR is used for channel measurement of the corresponding beam, and IMR mapped thereto can be used for L1-SINR (Level 1-Signal to Interference plus Noise Ratio, layer 1 signal to noise ratio) interference measurement. For the interference measurement of only configuring NZP-TMR, the mapping of the CMR and the IMR in the mode of N-to-1 can bring the complexity of pairing and the implementation difficulty, and the signaling overhead and the implementation complexity are considered, so that the mapping relation of the CMR and the IMR can be configured as follows: 1 CMR corresponds to N IMRs, where N is a special case when N is 1.

In step 120, according to the mapping relationship between the CMR and the IMR, based on the measurement result of the CSI-RS resource, an L1-SINR interference measurement value corresponding to the IMR is determined.

In some embodiments, each IMR measurement is determined based on the measurement of CSI-RS resources according to the mapping of CMR and IMR; and carrying out logarithmic domain summation on the N IMR measured values to obtain an L1-SINR interference measured value.

In some embodiments, each IMR measurement is determined based on the measurement of CSI-RS resources according to the mapping of CMR and IMR; selecting a preset number of IMR measured values with the largest measured value from N IMR measured values; and carrying out logarithmic domain summation on a preset number of IMR measurement values with the maximum measurement values to obtain L1-SINR interference measurement values.

In the above embodiment, by configuring the mapping relationship between the CMR for channel measurement and the IMR for interference measurement, the CMR measurement value may make a certain reference to the IMR measurement value, so that the CSI-RS resource is fully utilized, and the accuracy of L1-SINR interference measurement is improved.

In step 210, the base station configures a dedicated interference measurement resource type to be a NZP-IMR type in RRC (Radio Resource Control ) signaling. The base station is, for example, a 5G base station.

In some embodiments, the NZP-IMR is configured with NZP-CSI-RS-resource eForInterface in signaling.

In step 220, the mapping relationship between the CMR and the IMR is configured to be 1 to N. Wherein the CMR and IMR are mapped one by one as a special case.

In some embodiments, resource is used to configure the CMR. Wherein the basic configuration and application of CMR and IMR can multiplex the Rel-15CSI framework in the NR Rel-16 protocol version. That is, in this embodiment, the signaling parameters and configuration involved need not be changed, just before multiplexing.

In step 230, based on the information reported by the beam, an L1-SINR interference measurement is calculated according to the mapping relationship between the CMR and the IMR.

The beam report information includes the ID of the candidate beam, and the measured L1-SINR or L1-RSRP (Reference Signal Receiving Power, reference signal received power) of the beam, and the difference from the strongest beam.

The CSI-RS resources are reference signals that may be used for channel measurement CMR and interference measurement IMR. For example, the SINR value is relatively high, and the channel condition is considered to be good and the interference is small; the SINR value is relatively low, and the channel condition is considered to be poor, and the interference is serious. In some embodiments, after determining the CSI-RS resources and the CMR measurements, the base station then determines the IMR measurements based on the mapping of CMR and IMR.

When the L1-SINR interference measurement is calculated, the N IMR measurement values can be subjected to logarithmic domain summation, the N IMR measurement values can be sequenced, the K measurement values with the largest number is selected, and then the K IMR measurement values are subjected to logarithmic domain summation.

In the above embodiment, for the case of configuring only the dedicated NZP-IMR, the base station may configure a flexible CMR and IMR mapping relationship, and on the premise of ensuring the resource utilization, the accuracy of interference measurement is improved as much as possible, so as to effectively implement accurate measurement on complex interference conditions of Multi-beam, and assist the base station side and the terminal side in beam selection, beam management, beam failure recovery, and the like.

Fig. 3 is a schematic structural view of some embodiments of the interference measurement device of the present disclosure. The interference measurement apparatus includes a mapping relation acquisition unit 310 and an interference measurement unit 320.

The mapping relation acquiring unit 310 is configured to acquire a mapping relation of the channel measurement resource CMR and the interference measurement resource IMR.

In some embodiments, the mapping of CMR and IMR is: 1 CMR corresponds to N IMRs, where N is a special case when N is 1.

In some embodiments, the base station configures the dedicated interference measurement resource type to be NZP-IMR type in RRC signaling, and then configures the mapping relationship between CMR and IMR to be 1 to N.

The interference measurement unit 320 is configured to determine a layer 1 signal-to-noise ratio L1-SINR interference measurement corresponding to the IMR based on the measurement result of the channel state information reference signal CSI-RS resource according to the mapping relation of the CMR and the IMR.

In some embodiments, each IMR measurement is determined based on the measurement of CSI-RS resources according to the mapping of CMR and IMR; selecting a preset number of IMR measured values with the largest measured value from N IMR measured values; and carrying out logarithmic domain summation on a preset number of IMR measurement values with the maximum measurement values to obtain L1-SINR interference measurement values. For example, the N IMR measurements are sorted, the largest K values are selected, and then the K IMR measurements are summed in the logarithmic domain.

Fig. 4 is a schematic structural diagram of some embodiments of an interference measurement device of the present disclosure. The interference measurement device 400 includes a memory 410 and a processor 420. Wherein: memory 410 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is used to store instructions in the corresponding embodiments of fig. 1-2. Processor 420, coupled to memory 410, may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 420 is configured to execute instructions stored in the memory.

In some embodiments, processor 420 is coupled to memory 410 through BUS 430. The interference measurement device 400 may also be connected to an external storage system 450 via a storage interface 440 for invoking external data, and may also be connected to a network or another computer system (not shown) via a network interface 460. And will not be described in detail herein.

In this embodiment, the data instruction is stored by the memory, and then the processor processes the instruction, so that the accuracy of the interference measurement of the L1-SINR is improved.

In other embodiments of the present disclosure, a base station is also protected, which includes the interference measurement device in the above embodiments.

In other embodiments, a computer readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of the corresponding embodiment of fig. 1-2. It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Thus far, the present disclosure has been described in detail. In order to avoid obscuring the concepts of the present disclosure, some details known in the art are not described. How to implement the solutions disclosed herein will be fully apparent to those skilled in the art from the above description.

Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present disclosure. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A method of interference measurement, comprising:

obtaining a mapping relation between channel measurement resources CMR and interference measurement resources IMR;

determining each IMR measured value based on a measurement result of a channel state information reference signal (CSI-RS) resource according to the mapping relation between the CMR and the IMR;

and selecting a preset number of IMR measured values with the largest measured value from the N IMR measured values, carrying out logarithmic domain summation on the preset number of IMR measured values with the largest measured value, and determining a layer 1 signal to noise ratio L1-SINR interference measured value corresponding to the IMR.

2. The interference measuring method according to claim 1, wherein,

the mapping relation between the CMR and the IMR is as follows: and 1 CMR corresponds to N IMRs, wherein N is a positive integer greater than or equal to 1.

3. The interference measurement method according to claim 1 or 2, further comprising:

the dedicated interference measurement resource type is configured in the radio resource control, RRC, signaling as a non-zero power, NZP-IMR, type.

4. The interference measurement method according to claim 1 or 2, wherein determining the L1-SINR interference measurement corresponding to the IMR further comprises:

and carrying out logarithmic domain summation on the N IMR measured values to obtain the L1-SINR interference measured value.

5. An interference measurement device, comprising:

the mapping relation acquisition unit is configured to acquire the mapping relation between the channel measurement resource CMR and the interference measurement resource IMR;

an interference measurement unit configured to determine each IMR measurement value based on a measurement result of a channel state information reference signal CSI-RS resource according to a mapping relationship of the CMR and the IMR; and selecting a preset number of IMR measured values with the largest measured value from the N IMR measured values, carrying out logarithmic domain summation on the preset number of IMR measured values with the largest measured value, and determining a layer 1 signal to noise ratio L1-SINR interference measured value corresponding to the IMR.

6. The interference measuring device according to claim 5, wherein,

7. An interference measurement device, comprising:

a memory; and

a processor coupled to the memory, the processor configured to perform the interference measurement method of any one of claims 1 to 4 based on instructions stored in the memory.

8. A base station, comprising:

the interference measuring device of any one of claims 5 to 7.

9. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the interference measurement method of any of claims 1 to 4.