CN114866167A

CN114866167A - Channel parameter estimation method, device, equipment, storage medium and program product

Info

Publication number: CN114866167A
Application number: CN202210404485.5A
Authority: CN
Inventors: 王浪
Original assignee: Zeku Technology Beijing Corp Ltd
Current assignee: Zeku Technology Beijing Corp Ltd
Priority date: 2022-04-18
Filing date: 2022-04-18
Publication date: 2022-08-05

Abstract

The application discloses a channel parameter estimation method, a device, equipment, a storage medium and a program product, and relates to the technical field of communication. The method comprises the following steps: acquiring a first estimation result of a target channel parameter of a first channel, wherein the first estimation result is an estimation result of the target channel parameter of the first channel in a first time period; determining whether the target channel parameter of the first channel meets a gear shifting condition according to the first estimation result and at least one historical estimation result; the historical estimation result refers to an estimation result of a historical period of a target channel parameter of the first channel before the first period; and if the target channel parameter of the first channel meets the gear shifting condition, adjusting the target channel parameter of the first channel from the original gear value to a target gear value. The method and the device reduce the fluctuation of the adopted channel parameters.

Description

Channel parameter estimation method, device, equipment, storage medium and program product

Technical Field

Embodiments of the present invention relate to the field of communications technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for estimating channel parameters.

Background

When an NR PDCCH (New radio Downlink Control Channel, a physical Downlink Control Channel in a New air interface system) is in a blind detection stage, which RB (Resource block) positions of a DMRS (Demodulation Reference Signal) pilot in a frequency domain are unknown. For example, the SNR (Signal-to-noise ratio) estimation of PDCCH needs to be further studied.

Disclosure of Invention

The embodiment of the application provides a channel parameter estimation method, a device, equipment, a storage medium and a program product. The technical scheme is as follows:

according to an aspect of an embodiment of the present application, there is provided a channel parameter estimation method, including:

acquiring a first estimation result of a target channel parameter of a first channel, wherein the first estimation result refers to an estimation result of the target channel parameter of the first channel in a first time period;

determining whether the target channel parameter of the first channel meets a gear shifting condition according to the first estimation result and at least one historical estimation result; wherein the historical estimation result refers to an estimation result of a historical period of the target channel parameter of the first channel before the first period;

and if the target channel parameter of the first channel meets the gear shifting condition, adjusting the target channel parameter of the first channel from an original gear value to a target gear value.

According to an aspect of an embodiment of the present application, there is provided a channel parameter estimation apparatus, including:

a result obtaining module, configured to obtain a first estimation result of a target channel parameter of a first channel, where the first estimation result is an estimation result of the target channel parameter of the first channel in a first time period;

the condition determining module is used for determining whether the target channel parameter of the first channel meets a gear shifting condition according to the first estimation result and at least one historical estimation result; wherein the historical estimation result refers to an estimation result of a historical period of the target channel parameter of the first channel before the first period;

and the parameter adjusting module is used for adjusting the target channel parameter of the first channel from an original gear value to a target gear value if the target channel parameter of the first channel meets the gear shifting condition.

According to an aspect of the embodiments of the present application, there is provided a communication device including a processor and a memory, the memory having stored therein a computer program, the processor executing the computer program to implement the above-described channel parameter estimation method.

According to an aspect of the embodiments of the present application, there is provided a computer-readable storage medium having a computer program stored therein, the computer program being for execution by a processor to implement the above-mentioned channel parameter estimation method.

According to an aspect of the embodiments of the present application, there is provided a chip, which includes programmable logic circuits and/or program instructions, and when the chip is operated, is used for implementing the above channel parameter estimation method.

According to an aspect of embodiments of the present application, there is provided a computer program product or a computer program, the computer program product or the computer program comprising computer instructions stored in a computer-readable storage medium, from which a processor reads and executes the computer instructions to implement the above-mentioned channel parameter estimation method.

The technical scheme provided by the embodiment of the application can have the following beneficial effects:

the method and the device have the advantages that whether the channel parameters meet the gear shifting condition is judged by combining the estimation result and the historical estimation result of the channel parameters of the channel in the first time period, the gear of the channel parameters is adjusted under the condition that the gear shifting condition is met, and compared with the method and the device that the channel parameters are adjusted to the same value according to the estimation result of the channel parameters in the first time period, the fluctuation of the adopted channel parameters is reduced, and the stability of the adopted channel parameters is improved.

Drawings

FIG. 1 is a schematic diagram of a network architecture provided by one embodiment of the present application;

fig. 2 is a flowchart of a channel parameter estimation method according to an embodiment of the present application;

fig. 3 is a flowchart of a channel parameter estimation method according to another embodiment of the present application;

fig. 4 is a flowchart of a channel parameter estimation method according to another embodiment of the present application;

fig. 5 is a block diagram of a channel parameter estimation apparatus according to an embodiment of the present application;

fig. 6 is a block diagram of a channel parameter estimation apparatus according to another embodiment of the present application;

fig. 7 is a schematic structural diagram of a communication device according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The network architecture and the service scenario described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not constitute a limitation to the technical solution provided in the embodiment of the present application, and it can be known by a person skilled in the art that the technical solution provided in the embodiment of the present application is also applicable to similar technical problems along with the evolution of the network architecture and the appearance of a new service scenario.

The technical scheme of the embodiment of the application can be applied to various communication systems, for example: global System for Mobile communications (GSM) System, Code Division Multiple Access (CDMA) System, Wideband Code Division Multiple Access (WCDMA) System, General Packet Radio Service (GPRS), Long Term Evolution (Long Term Evolution, LTE) System, LTE-a System, NR System, Evolution System of NR System, LTE-U System on unlicensed spectrum, NR-b System on unlicensed spectrum, Non-Terrestrial communication network (UMTS) System, UMTS-b System, UMTS-WLAN System, Wireless Local Area network (UMTS) System, Wireless Local Area Network (WLAN) System, General Packet Radio Service (GPRS) System, LTE-a System, Evolution System of NR System, LTE-b System on unlicensed spectrum, NR-b System on unlicensed spectrum, and Wireless Local Area network (UMTS) System, Wireless Fidelity (WiFi), fifth Generation communication (5th-Generation, 5G) systems, or other communication systems, etc.

Generally, the conventional Communication system supports a limited number of connections and is easy to implement, however, with the development of Communication technology, the mobile Communication system will support not only conventional Communication but also, for example, Device-to-Device (D2D) Communication, Machine-to-Machine (M2M) Communication, Machine Type Communication (MTC), Vehicle-to-Vehicle (V2V) Communication, or Vehicle networking (V2X) Communication, and the embodiments of the present application can also be applied to these Communication systems.

The communication system in the embodiment of the present application may be applied to a Carrier Aggregation (CA) scenario, may also be applied to a Dual Connectivity (DC) scenario, and may also be applied to an independent (SA) networking scenario.

The communication system in the embodiment of the present application may be applied to an unlicensed spectrum, where the unlicensed spectrum may also be considered as a shared spectrum; alternatively, the communication system in the embodiment of the present application may also be applied to a licensed spectrum, where the licensed spectrum may also be regarded as an unshared spectrum.

The communication system in the embodiment of the application can be applied to the existing frequency band and can also be applied to the frequency band which is put into use in the future.

The embodiment of the application can be applied to a Non-Terrestrial network (NTN) system and can also be applied to a Terrestrial Network (TN) system.

Referring to fig. 1, a schematic diagram of a network architecture according to an embodiment of the present application is shown. The network architecture may include: terminal device 10, network device 20 and core network device 30.

Terminal Equipment 10 may refer to a UE (User Equipment), an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a wireless communication device, a User agent, or a User Equipment. In some embodiments, the terminal device 10 may also be a cellular phone, a cordless phone, a SIP (Session Initiation Protocol) phone, a WLL (Wireless Local Loop) station, a PDA (Personal digital processing), a handheld device with Wireless communication function, a computing device or other processing device connected to a Wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a 5GS (5th Generation System, fifth Generation mobile communication System) or a terminal device in a PLMN (Pub1ic Land mobile 1e Network) evolved in the future, and the like, which are not limited by the embodiments of the present application. For convenience of description, the above-mentioned devices are collectively referred to as terminal devices. The number of terminal devices 10 is usually plural, and one or more terminal devices 10 may be distributed in a cell managed by each network device 20. In the present embodiment, "terminal device" and "UE" generally express the same meaning, and both may be mixed, but those skilled in the art can understand the meaning.

The network device 20 is a device deployed in an access network to provide a wireless communication function for the terminal device 10. The network device 20 may include various forms of macro base stations, micro base stations, relay stations, access points, and the like. In systems using different radio access technologies, the names of devices with network device functions may differ, for example, in a 5G NR system, called a nodeb or a gNB. As communication technology evolves, the name "network device" may change. For convenience of description, in the embodiment of the present application, the above-mentioned apparatuses providing the terminal device 10 with the wireless communication function are collectively referred to as a network device. In some embodiments, a communication relationship may be established between the terminal device 10 and the core network device 30 via the network device 20. Illustratively, in an LTE (Long Term Evolution) system, the Network device 20 may be an EUTRAN (Evolved Universal Radio Access Network) or one or more enodebs in the EUTRAN; in the 5G NR system, the Network device 20 may be a RAN (Radio Access Network) or one or more gnbs in the RAN.

The core network device 30 is a device deployed in a core network, and the core network device 30 mainly provides user connection, user management, and service completion bearer, and serves as a bearer network to provide an interface to an external network. For example, the core network device in the 5G NR system may include an AMF (Access and Mobility Management Function) entity, a UPF (User Plane Function) entity, and an SMF (Session Management Function) entity.

In some embodiments, the network device 20 and the core network device 30 communicate with each other through some air interface technology, for example, an NG interface in a 5G NR system. The network device 20 and the terminal device 10 communicate with each other through some air interface technology, for example, a Uu interface.

The "5G NR system" in the embodiment of the present application may also be referred to as a 5G system or an NR system, but those skilled in the art can understand the meaning thereof. The technical solution described in the embodiment of the present application may be applicable to an LTE system, a 5G NR system, a subsequent evolution system of the 5G NR system, and other communication systems such as an NB-IoT (Narrow Band Internet of Things) system, which is not limited in the present application.

In this embodiment of the present application, a network device may provide a service for a cell, and a terminal device communicates with the network device through a transmission resource (for example, a frequency domain resource or a spectrum resource) on a carrier used by the cell, where the cell may be a cell corresponding to the network device (for example, a base station), and the cell may belong to a macro base station or a base station corresponding to a Small cell (Small cell), and the Small cell may include: urban cells (Metro cells), Micro cells (Micro cells), Pico cells (Pico cells), Femto cells (Femto cells), and the like, and the small cells have the characteristics of small coverage area and low transmission power, and are suitable for providing high-rate data transmission services.

In the description of the embodiments of the present application, the term "correspond" may indicate that there is a direct correspondence or an indirect correspondence between the two, and may also indicate that there is an association relationship between the two.

Before the technical solutions of the present application are introduced, some background knowledge related to the present application will be described. The following related arts as alternatives can be arbitrarily combined with the technical solutions of the embodiments of the present application, and all of them belong to the scope of the embodiments of the present application. The embodiment of the present application includes at least part of the following contents.

When the NR PDCCH is in the blind detection stage, many messages are unknown, for example, which RB positions of the DMRS pilot in the frequency domain are unknown, and when the high layer configures precoding granularity (precoding granularity) as sameaaseg-bundle (resource element group is the same) or configures as allcontigousrbs but the number of RBs scheduled by RBs is small, a channel estimation method based on MMSE (Minimum mean square error) and coefficients of MMSE filtering are generally adopted, and the number of RBs scheduled is small

Where θ is the cross-correlation matrix, σ ² For normalizing the noise,

Is an autocorrelation matrix, and σ ² 1/SNR, i.e. one SNR is needed as input at this time. While there are few DMRS pilots in PDCCH and the location is uncertain, which is a big challenge for SNR estimation. The current methods for estimating the SNR of the PDCCH include:

method 1): the empirical SNR is directly adopted and is not good, the SNR range considered by the common PDCCH is-10 dB to 15dB, the range is very large, the empirical SNR is difficult to cover a wide range, and the performance is always lost under partial scenes;

method 2): the SNR of other pilots is adopted, the method has no interference, and the pilot power used is consistent with the power transmitted by PDCCH DMRS; however, the interference under different pilots is different, which brings a problem that SNRs under different pilots cannot be used with each other well, because the different interference causes a large SNR difference, which finally causes a loss;

method 3): using the PDCCH DMRS pilot to estimate the SNR, when the precoding granularity is configured as sameaasereg-bundle by the higher layer, it means that the PDCCH may be sent in some REG bundles (Resource Element Group bundle/Resource Element set bundle), but specifically which REG bundles are unknown, which brings a great challenge to the SNR estimation of the PDCCH. In this case, the alternative method of estimating the signal power or the noise power is to distinguish different REG bundles for respective estimation, and then pick a maximum REG bundle as the final SNR. However, the number of pilot points in each REG bundle is too small, which results in a large SNR error and large fluctuation, and thus greatly affects performance.

Aiming at the problems of the SNR estimation method of the current PDCCH, the embodiment of the application provides a channel parameter estimation method.

Referring to fig. 2, a flowchart of a channel parameter estimation method according to an embodiment of the present application is shown. The method can be applied to the network architecture shown in fig. 1. The method can comprise the following steps (201-203):

step 201, obtaining a first estimation result of the target channel parameter of the first channel, where the first estimation result is an estimation result of the target channel parameter of the first channel in a first time period.

In some embodiments, it may be desirable to determine parameters of the first channel, such as target channel parameters. In some embodiments, the first channel is PDCCH and the target channel parameter is SNR.

In some embodiments, the first Channel may also be a PUSCH (Physical Uplink Shared Channel), a PDSCH (Physical Downlink Shared Channel), a PRACH (Physical Random Access Channel), a PCPCH (Physical Common Packet Channel), a PUCCH (Physical Uplink Control Channel), a PSCCH (Physical Downlink Shared Channel), or the like, which is not limited in this application.

In some embodiments, the target channel parameter may also be a channel parameter such as transmission delay, Doppler Shift (Doppler Shift), and the like, which is not limited in this embodiment.

In some embodiments, the first time period refers to a current time period, or a time period closest to the current time period during which the target channel parameters are acquired. The duration of each period may be one slot (slot). Optionally, the specific duration of the time period may be set by a related technician according to an actual situation, which is not specifically limited in the embodiment of the present application.

Step 202, determining whether the target channel parameter of the first channel meets the gear shifting condition according to the first estimation result and at least one historical estimation result.

The historical estimation result refers to an estimation result of a historical period of the target channel parameter of the first channel before the first period. After obtaining the first estimation result (i.e., the latest estimation result of the target channel parameter of the first channel), the target channel parameter is not necessarily adjusted, but it is determined whether the target channel parameter of the first channel satisfies the shift condition based on the first estimation result and at least one historical estimation result.

In some embodiments, the estimation result of the target channel parameter of the first channel in one time period is obtained at regular intervals, and the estimation results corresponding to the target channel parameter of the first channel in a plurality of time periods are obtained; wherein at least one of the historical estimation result and the first estimation result is an estimation result of n consecutive periods of the plurality of periods, and n is an integer greater than 1.

In some embodiments, the historical estimation results are estimation results that were acquired prior to acquiring the first estimation result. The plurality of periods (including the periods corresponding to the respective estimation results of the target channel parameter) may be referred to as a plurality of sampling periods, and the consecutive n periods may be consecutive n sampling periods including the first period. Optionally, the time intervals between adjacent sampling periods are the same. In some embodiments, the time periods corresponding to the at least one historical estimation result and the first estimation result respectively may also be discontinuous.

For example, if the plurality of time periods include time period 1, time period 2, time period 3, time period 4, time period 5, time period 6, time period 7, and time period 8 in chronological order; the time periods to which the at least one historical estimation and the first estimation correspond, respectively, may be time period 6, time period 7 and time period 8, respectively, in which case the time periods are consecutive; or respectively, period 4, period 6, and period 8, in which case the periods are not consecutive.

In step 203, if the target channel parameter of the first channel meets the gear shifting condition, the target channel parameter of the first channel is adjusted from the original gear value to the target gear value.

In some embodiments, the channel parameters of the first channel are divided into a plurality of bins. Optionally, the difference between the numerical values of two adjacent gears may be equal or unequal, and this is not specifically limited in the embodiment of the present application. For example, if the first channel is a PDCCH and the target channel parameter is SNR, the SNR of the PDCCH may be divided into three steps of 0dB (decibel), 5dB, and 10 dB; as another example, the SNR of the PDCCH may be divided into three steps of 0dB, 6dB, and 10 dB.

In some embodiments, the current target channel parameter of the first channel is the original gear value, and if the target channel parameter of the first channel does not satisfy the gear shifting condition, the target channel parameter of the first channel remains unchanged and remains the original gear value.

In summary, according to the technical scheme provided in the embodiment of the present application, it is determined whether the channel parameter meets the shift condition by combining the estimation result and the historical estimation result of the channel parameter of the channel in the first time period, and the shift of the channel parameter is adjusted only when the shift condition is met.

Referring to fig. 3, a flowchart of a channel parameter estimation method according to another embodiment of the present application is shown. The method can be applied to the network architecture shown in fig. 1. The method can comprise the following steps (301-306):

step 301, for multiple REG bundles of the first CORESET, obtaining SNR estimation results corresponding to the multiple REG bundles at the first time period, respectively.

In some embodiments, the first channel corresponds to a first CORESET (Control Resource Set). That is, in the embodiment of the present application, the channels correspond to the CORESET one to one. Optionally, the first core set includes a plurality of REG bundles, and thus the plurality of REG bundles included in the first core set are a plurality of REG bundles associated with the first channel.

In some embodiments, the number of REG bundles in the first period is multiple, and SNR estimation results corresponding to the multiple REG bundles in the first period can be obtained by estimating SNRs corresponding to the multiple REG bundles in the first period. The SNR estimation results of the plurality of REG bundles may be different in the first period.

Step 302, determining a first estimation result of the SNR of the first channel according to the SNR estimation results respectively corresponding to the multiple REG bundles.

In some embodiments, since the first channel corresponds to the first CORESET, and the first CORESET includes a plurality of REG bundles, the first estimation result of the SNR of the first channel may be determined based on SNR estimation results corresponding to the plurality of REG bundles, respectively. That is, the SNR estimation result corresponding to the first period of time of the first core may be obtained based on the SNR estimation results corresponding to the multiple REG bundles, respectively; and the first CORESET may be determined to correspond to the SNR estimate for the first time period as a first estimate of the SNR for the first channel.

Optionally, for different CORESET, the corresponding SNR estimation result and estimation manner may be independent and independent from each other.

In some embodiments, a maximum value is selected as the first estimation result of the SNR of the first channel from SNR estimation results respectively corresponding to the plurality of REG bundles.

For example, if the SNR estimation results of the multiple REG bundles in the first period are-2 dB, 4dB, and 6dB, respectively, the maximum value of 6dB is used as the first estimation result of the SNR of the first channel.

In some embodiments, the SNR estimation result greater than or equal to the threshold is selected from the SNR estimation results respectively corresponding to the multiple REG bundles; a first estimation result of the SNR of the first channel is determined according to an average value of the SNR estimation results which is greater than or equal to a threshold value.

That is, before determining the first estimation result of the SNR of the first channel, the SNR estimation results corresponding to the multiple REG bundles are screened, and it is not necessarily that all REG bundles can participate in the mean calculation. Specifically, for the REG bundle with a smaller SNR estimation result (e.g., the REG bundle with an SNR estimation result that does not reach the threshold), it can be considered that there is no corresponding information, and thus it can be ignored. In some embodiments, only the SNR estimation results greater than or equal to the threshold are averaged, and the calculated average is the first estimation result of the SNR of the first channel.

For example, if the SNR estimation results corresponding to the multiple REG bundles in the first time period are-2 dB, 4dB, and 6dB, respectively, the threshold is set to 0 dB; since-2 dB is less than 0dB, then-2 dB is truncated, and the mean value is calculated only for the two estimation results of 4dB and 6dB which are greater than 0dB, and the calculated mean value is 5dB, then 5dB is taken as the first estimation result of SNR of the first channel.

In some embodiments, the first core set only includes one REG bundle, that is, the REG bundle associated with the first channel is only the one REG bundle, and the SNR estimation result corresponding to the one REG bundle in the first time period is the first estimation result.

Step 303, determining a target gear matched with the first estimation result from a plurality of candidate gears.

In some embodiments, matching conditions corresponding to a plurality of candidate gears are obtained; and if the first estimation result meets the matching condition corresponding to the target gear, determining that the first estimation result is matched with the target gear.

Illustratively, the plurality of candidate steps may be 0dB, 5dB, and 10 dB; if the first estimation result is less than or equal to 0dB, the target gear matched with the first estimation result is 0 dB; if the first estimation result is larger than 0dB and smaller than 10dB, the target gear matched with the first estimation result is 5 dB; and if the first estimation result is greater than or equal to 10dB, the target gear matched with the first estimation result is 10 dB.

And step 304, updating the original accumulated matching times of the target gear to obtain updated accumulated matching times.

Wherein the original cumulative number of matches is determined based on at least one historical estimate.

In some embodiments, after determining the target gear matching the first estimation result, the target channel parameter of the first channel is not necessarily adjusted to the target gear value, but it is necessary to determine whether all the estimation results (i.e. at least one historical estimation result) corresponding to the last several historical time periods also meet the target gear. Optionally, 1 is added to the original cumulative matching times to obtain updated cumulative matching times. The updated cumulative number of matches may represent a number of consecutive times that the estimation result of the target gear is met.

For example, if the time intervals are time-ordered time interval 1, time interval 2, time interval 3, time interval 4, time interval 5, time interval 6, time interval 7, and time interval 8; if the gear matched with the estimation result in the time interval 5 is 0dB and the gear matched with the estimation result in the time interval 6 is 5dB, clearing the accumulated matching times corresponding to 0dB after the time interval 6, and setting the updated accumulated matching times corresponding to 5dB to 1 (namely adding 1 to the accumulated matching times); if the gear matched with the estimation result of the time period 7 is still 5dB, the updated cumulative matching frequency corresponding to the 5dB is 2 (the cumulative matching frequency is added with 1 again); if the gear matched with the estimation result of the time period 8 is still 5dB, the updated accumulated matching times corresponding to 5dB is 3.

In step 305, if the updated accumulated matching times is greater than or equal to the threshold, it is determined that the target channel parameter of the first channel meets the gear shifting condition.

In some embodiments, if the updated accumulated matching times is greater than or equal to the threshold value, which indicates that the estimation result of the target channel parameter has been continuously matched with the target gear multiple times, it is determined that the target channel parameter of the first channel satisfies the gear shifting condition, i.e., the target channel parameter may be adjusted to the target gear value. For example, under the condition that the threshold value is 3 and the original gear value is 5dB, if the estimation results for 3 consecutive times are all matched with 10dB, the gear value of the target channel parameter is jumped from 5dB to 10 dB; then, if the estimation results of 4, 5, and 6 consecutive times match 10dB, the step value of the target channel parameter is kept at 10 dB.

In some embodiments, if the updated accumulated matching times is smaller than the threshold, it indicates that there is a greater chance in the estimation result corresponding to the first time period, and therefore, in such a case, it is determined that the target channel parameter of the first channel does not meet the shift condition, and the target channel parameter is still maintained as the original shift value.

Step 306, if the target channel parameter of the first channel meets the gear shifting condition, the target channel parameter of the first channel is adjusted from the original gear value to the target gear value.

In some embodiments, the content of this step 306 is the same as or similar to that of step 203 in the embodiment of fig. 2, and is not described here again.

Based on the example in the above step 303, as shown in fig. 4 below, the method may include the following steps (401 to 411):

step 401, obtaining a maximum value and a minimum value of SNR estimation results respectively corresponding to a plurality of REG bundles in a first time period;

step 402, judging whether the maximum value is less than 0dB, if so, executing the following step 403; if not, the following step 404 is executed;

step 403, adding 1 to the cumulative matching times of the 0dB gear, and updating the cumulative matching times corresponding to the other gears to be 0;

step 404, judging whether the minimum value is larger than 5dB, if so, executing the following step 405; if not, the following step 406 is executed;

step 405, adding 1 to the accumulated matching times of the 10dB gear, and updating the accumulated matching times corresponding to the other gears to be 0;

step 406, adding 1 to the accumulated matching times of the 5dB gear, and updating the accumulated matching times corresponding to the other gears to be 0;

step 407, judging whether the accumulated matching times of the 10dB gear is greater than n, wherein n is a positive integer, if yes, executing the following step 408; if not, the following step 409 is executed;

step 408, determining the target channel parameter as 10 dB;

step 409, judging whether the accumulated matching times of the 0dB gear is greater than n, if so, executing the following step 410; if not, the following step 411 is executed;

step 410, determining the target channel parameter as 0 dB;

in step 411, the target channel parameter is determined to be 5 dB.

In some possible implementations, a plurality of candidate gears are determined according to the estimation result of the target channel parameter of the first channel in the first time period, and the gear shifting condition, the matching condition and the gear value respectively corresponding to each gear are determined.

In some embodiments, in the case of current gear division, if the time for the target channel parameter to remain at a certain gear value is too long, the gear may be further subdivided, and then the target channel parameter of the first channel is determined according to the newly divided gear.

For example, if the current gear is 0dB, 5dB and 10dB, respectively, as shown in the example in step 303, and the target channel parameter of the first channel has been 5dB for a long time so far, then:

(1) the gears can be further subdivided into 0dB, 3dB, 5dB, 7dB and 10dB by inserting new gear values between the original gear values, for example; if the first estimation result is less than or equal to 0dB, the target gear matched with the first estimation result is 0 dB; if the first estimation result is larger than 0dB and smaller than or equal to 3dB, the target gear matched with the first estimation result is 3 dB; if the first estimation result is larger than 3dB and smaller than or equal to 5dB, the target gear matched with the first estimation result is 5 dB; if the first estimation result is greater than 5dB and less than or equal to 7dB, the target gear matched with the first estimation result is 7 dB; if the first estimation result is larger than 7dB, the target gear matched with the first estimation result is 10 dB;

(2) or, the gears may be subdivided by canceling some or all of the original gears, for example, further dividing the gears into 0dB, 2dB, 4dB, 6dB, 8dB, and 10 dB; if the first estimation result is less than or equal to 0dB, the target gear matched with the first estimation result is 0 dB; if the first estimation result is larger than 0dB and smaller than or equal to 2dB, the target gear matched with the first estimation result is 2 dB; if the first estimation result is larger than 2dB and smaller than or equal to 4dB, the target gear matched with the first estimation result is 4 dB; if the first estimation result is larger than 4dB and smaller than or equal to 6dB, the target gear matched with the first estimation result is 6 dB; if the first estimation result is larger than 6dB and smaller than or equal to 8dB, the target gear matched with the first estimation result is 8 dB; and if the first estimation result is greater than 8dB, the target gear matched with the first estimation result is 10 dB.

According to the technical scheme provided by the embodiment of the application, by dividing the plurality of gears, each gear corresponds to the range of an estimation result, and the target channel parameter is adjusted to the gear value under the condition that the estimation result is continuously matched with a certain gear for multiple times, so that the fluctuation of the adopted channel parameter is reduced, and the stability of the adopted channel parameter is improved.

In the embodiment of the application, aiming at the condition that NR PDCCH DMRS SNR estimates that the number of pilot frequencies under different RGE bundles is small and the specific positions of the pilot frequencies are unknown, a channel parameter estimation method which gives consideration to the main SNR working range of a PDCCH, and has high robustness and small SNR fluctuation is provided. Simulation verification can be performed with case in NR PDCCH RAN 4. Table 1 below is a comparison of the corresponding SNR operating points at 1% BLER (BLock Error Rate). Wherein idealSNR represents that an ideal SNR is adopted to calculate a wiener coefficient, and realSNR represents that the SNR obtained under the condition of adopting the technical scheme provided by the embodiment of the application is adopted to calculate the wiener coefficient. As can be seen from table 1, the SNR obtained by the technical solution provided in the embodiment of the present application has smaller performance difference than the ideal SNR. Wherein, a positive value indicates that the SNR estimated by the scheme of the present application has a loss relative to the ideal SNR, and a negative value indicates a gain, as can be seen from the results in table 1 below, the effect of the scheme of the present application is substantially equivalent to that of the ideal SNR, which effectively solves the problem that NR PDCCH DMRS estimates the SNR more difficultly.

TABLE 1

It should be noted that the method provided in the embodiment of the present application may be executed by a terminal device, or may also be executed by a network device.

The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.

Referring to fig. 5, a block diagram of a channel parameter estimation apparatus according to an embodiment of the present application is shown. The device has the functions of realizing the method examples, and the functions can be realized by hardware or by executing corresponding software by hardware. The device can be a communication device (such as a terminal device or a network device) and can also be arranged in the communication device. As shown in fig. 5, the apparatus 500 may include:

a result obtaining module 510, configured to obtain a first estimation result of a target channel parameter of a first channel, where the first estimation result is an estimation result of the target channel parameter of the first channel in a first time period;

a condition determining module 520, configured to determine whether a target channel parameter of the first channel satisfies a shift condition according to the first estimation result and at least one historical estimation result; wherein the historical estimation result refers to an estimation result of a historical period of the target channel parameter of the first channel before the first period;

a parameter adjusting module 530, configured to adjust the target channel parameter of the first channel from an original gear value to a target gear value if the target channel parameter of the first channel meets the gear shifting condition.

In an exemplary embodiment, the estimation result of the target channel parameter of the first channel is obtained at regular intervals, and the estimation results corresponding to the target channel parameter of the first channel in multiple time periods are obtained; wherein the at least one historical estimation result and the first estimation result are estimation results of n consecutive periods in the plurality of periods, and n is an integer greater than 1.

In an exemplary embodiment, as shown in fig. 6, the condition determining module 520 includes:

a gear determining submodule 521, configured to determine, from a plurality of candidate gears, a target gear that matches the first estimation result;

the frequency updating submodule 522 is configured to update the original cumulative matching frequency of the target gear to obtain an updated cumulative matching frequency; wherein the original cumulative number of matches is determined based on the at least one historical estimation;

the condition determining submodule 523 is configured to determine that the target channel parameter of the first channel meets the gear shifting condition if the updated accumulated matching times are greater than or equal to a threshold value.

In an exemplary embodiment, as shown in FIG. 6, the range determination submodule 521 is operable to:

acquiring matching conditions corresponding to the candidate gears respectively;

and if the first estimation result meets the matching condition corresponding to the target gear, determining that the first estimation result is matched with the target gear.

In an exemplary embodiment, as shown in FIG. 6, the number update submodule 522 is configured to: and adding 1 to the original cumulative matching times to obtain the updated cumulative matching times.

In an exemplary embodiment, the first channel is a PDCCH and the target channel parameter is an SNR.

In an exemplary embodiment, as shown in fig. 6, the first channel corresponds to a first CORESET; the result obtaining module 510 includes:

a result obtaining sub-module 511, configured to obtain, for multiple REG bundles included in the first CORESET, SNR estimation results corresponding to the multiple REG bundles in the first time period, respectively;

a result determining submodule 512, configured to determine a first estimation result of the SNR of the first channel according to SNR estimation results corresponding to the multiple REG bundles, respectively.

In an exemplary embodiment, as shown in FIG. 6, the result determination submodule 512 is configured to:

selecting a maximum value from SNR estimation results respectively corresponding to the REG chunks as a first estimation result of the SNR of the first channel;

or, selecting an SNR estimation result greater than or equal to a threshold from SNR estimation results respectively corresponding to the plurality of REG bundles; and determining a first estimation result of the SNR of the first channel according to the average value of the SNR estimation results which are greater than or equal to the threshold value.

In an exemplary embodiment, the apparatus 500 further comprises:

the gear determining module 540 is configured to determine a plurality of candidate gears according to an estimation result of the target channel parameter of the first channel in a first time period, and a gear shifting condition, a matching condition, and a gear value respectively corresponding to each of the gears.

It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the above functional modules is illustrated, and in practical applications, the above functions may be distributed by different functional modules according to actual needs, that is, the content structure of the device is divided into different functional modules, so as to complete all or part of the functions described above.

With regard to the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.

Referring to fig. 7, a schematic structural diagram of a communication device 700 according to an embodiment of the present application is shown. The communication device 700 may be a terminal device or a network device. The communication device 700 may be configured to perform the channel parameter estimation method described above. The communication device 700 may include: a processor 701, a transceiver 702, and a memory 703.

The processor 701 includes one or more processing cores, and the processor 701 executes various functional applications and information processing by executing software programs and modules.

The transceiver 702 may include a receiver and a transmitter, which may be implemented as the same wireless communication component, which may include a wireless communication chip and a radio frequency antenna, for example.

A memory 703 may be coupled to the processor 701 and the transceiver 702.

The memory 703 may be used for storing a computer program executed by the processor 701, and the processor 701 is used for executing the computer program to implement the steps performed by the terminal device in the above-described method embodiments.

Further, the memory 703 may be implemented by any type or combination of volatile or non-volatile storage devices, including, but not limited to: magnetic or optical disks, electrically erasable programmable read-only memories, static random access memories, read-only memories, magnetic memories, flash memories, programmable read-only memories.

In an exemplary embodiment, the processor 701 is configured to obtain a first estimation result of a target channel parameter of a first channel, where the first estimation result refers to an estimation result of the target channel parameter of the first channel in a first time period; determining whether the target channel parameter of the first channel meets a gear shifting condition or not according to the first estimation result and at least one historical estimation result; wherein the historical estimation result refers to an estimation result of a historical period of the target channel parameter of the first channel before the first period; and if the target channel parameter of the first channel meets the gear shifting condition, adjusting the target channel parameter of the first channel from an original gear value to a target gear value.

For the details which are not described in detail in the above embodiments, refer to the description in the above method embodiments, and are not described herein again.

For details which are not described in detail in this embodiment, refer to the above embodiments, and are not described in detail here.

An embodiment of the present application further provides a communication device, where the communication device includes a processor and a memory, where the memory stores a computer program, and the processor executes the computer program to implement the above channel parameter estimation method. In some embodiments, the communication device may be a terminal device or a network device.

An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used for being executed by a processor of a communication device to implement the above channel parameter estimation method.

In some embodiments, the computer-readable storage medium may include: ROM (Read-Only Memory), RAM (Random-Access Memory), SSD (Solid State drive), or optical disk. The Random Access Memory may include a ReRAM (resistive Random Access Memory) and a DRAM (Dynamic Random Access Memory).

The embodiment of the present application further provides a chip, where the chip includes a programmable logic circuit and/or a program instruction, and when the chip runs on a communication device, the chip is configured to implement the channel parameter estimation method.

Embodiments of the present application further provide a computer program product or a computer program, where the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium, and are read by a processor of a communication device from the computer-readable storage medium and executed to implement the above-mentioned channel parameter estimation method.

It is to be understood that reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone.

The above description is only exemplary of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for estimating channel parameters, the method comprising:

2. The method according to claim 1, wherein the estimation result of the target channel parameter of the first channel in one time period is obtained at regular intervals, and the estimation results corresponding to the target channel parameter of the first channel in a plurality of time periods are obtained;

wherein the at least one historical estimation result and the first estimation result are estimation results of n consecutive periods in the plurality of periods, and n is an integer greater than 1.

3. The method of claim 1, wherein determining whether the target channel parameter of the first channel satisfies a shift condition based on the first estimation and at least one historical estimation comprises:

determining a target gear matched with the first estimation result from a plurality of candidate gears;

updating the original accumulated matching times of the target gear to obtain updated accumulated matching times; wherein the original cumulative number of matches is determined based on the at least one historical estimation;

and if the updated accumulated matching times is larger than or equal to a threshold value, determining that the target channel parameter of the first channel meets the gear shifting condition.

4. The method of claim 3, wherein said determining a target gear from a plurality of candidate gears that matches said first estimate comprises:

5. The method according to claim 3, wherein the updating the original cumulative number of matches for the target gear to obtain an updated cumulative number of matches comprises:

and adding 1 to the original cumulative matching times to obtain the updated cumulative matching times.

6. The method of claim 1, wherein the first channel is a Physical Downlink Control Channel (PDCCH), and the target channel parameter is a signal-to-noise ratio (SNR).

7. The method according to claim 6, characterized in that said first channel corresponds to a first set of control resources, CORESET; the obtaining of the first estimation result of the target channel parameter of the first channel includes:

for a plurality of resource element set bundles (REG bundle) contained in the first CORESET, obtaining SNR estimation results corresponding to the plurality of REG bundles in the first time period respectively;

and determining a first estimation result of the SNR of the first channel according to the SNR estimation results corresponding to the multiple REG bundles respectively.

8. The method of claim 7, wherein the determining the first estimation result of the SNR of the first channel according to the SNR estimation results corresponding to the plurality of REG bundles respectively:

alternatively, the first and second electrodes may be,

selecting SNR estimation results larger than or equal to a threshold value from SNR estimation results respectively corresponding to the REG bundles; and determining a first estimation result of the SNR of the first channel according to the average value of the SNR estimation results which are greater than or equal to the threshold value.

9. The method of claim 1, further comprising:

and determining a plurality of candidate gears and gear shifting conditions, matching conditions and gear values corresponding to the gears respectively according to the estimation result of the target channel parameter of the first channel in the first time period.

10. An apparatus for estimating channel parameters, the apparatus comprising:

11. The apparatus according to claim 10, wherein the estimation result of the target channel parameter of the first channel in one time period is obtained at regular intervals, and the estimation results corresponding to the target channel parameter of the first channel in a plurality of time periods are obtained;

12. The apparatus of claim 10, wherein the condition determining module comprises:

the gear determining submodule is used for determining a target gear matched with the first estimation result from a plurality of candidate gears;

the frequency updating submodule is used for updating the original accumulated matching frequency of the target gear to obtain the updated accumulated matching frequency; wherein the original cumulative number of matches is determined based on the at least one historical estimation;

and the condition determining submodule is used for determining that the target channel parameter of the first channel meets the gear shifting condition if the updated accumulated matching times are larger than or equal to a threshold value.

13. The apparatus of claim 12, wherein the range determination submodule is configured to:

14. The apparatus of claim 12, wherein the number update submodule is configured to:

15. The apparatus of claim 10, wherein the first channel is a Physical Downlink Control Channel (PDCCH), and wherein the target channel parameter is a signal-to-noise ratio (SNR).

16. The apparatus of claim 15, wherein the first channel corresponds to a first set of control resources, CORESET; the result obtaining module comprises:

a result obtaining sub-module, configured to obtain, for multiple resource element set bundles REG bundle included in the first CORESET, SNR estimation results corresponding to the multiple REG bundles respectively in the first time period;

and the result determining submodule is used for determining a first estimation result of the SNR of the first channel according to the SNR estimation results respectively corresponding to the plurality of REG bundles.

17. The apparatus of claim 16, wherein the result determination submodule is configured to:

alternatively, the first and second electrodes may be,

18. The apparatus of claim 10, further comprising:

and the gear determining module is used for determining a plurality of candidate gears and gear shifting conditions, matching conditions and gear values corresponding to the gears respectively according to the estimation result of the target channel parameter of the first channel in the first time period.

19. A communication device, characterized in that the communication device comprises a processor and a memory, in which a computer program is stored, which computer program is executed by the processor to implement the method according to any of claims 1 to 9.

20. A computer-readable storage medium, in which a computer program is stored which is adapted to be executed by a processor to implement the method according to any one of claims 1 to 9.

21. A chip comprising programmable logic circuitry and/or program instructions for implementing the method of any of claims 1 to 9 when the chip is run.

22. A computer program product comprising computer instructions stored in a computer readable storage medium, from which a processor reads and executes the computer instructions to implement the method of any one of claims 1 to 9.