CN112600773B - Channel estimation method and device, computer readable storage medium and terminal - Google Patents
Channel estimation method and device, computer readable storage medium and terminal Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0224—Channel estimation using sounding signals
- H04L25/0226—Channel estimation using sounding signals sounding signals per se
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver
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- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W72/12—Wireless traffic scheduling
- H04W72/1263—Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows
- H04W72/1273—Mapping of traffic onto schedule, e.g. scheduled allocation or multiplexing of flows of downlink data flows
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
A channel estimation method and device, a computer-readable storage medium and a terminal are provided, and the method comprises the following steps: receiving sub-band configuration information of BWP, wherein the sub-band configuration information comprises frequency domain resources of each sub-band; measuring each sub-band according to the sub-band configuration information to obtain a sub-band CSI-RS of each sub-band; determining the channel capacity of each sub-band CSI-RS, and determining the sub-band CSI-RS with the maximum channel capacity; expanding the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band as a center; and performing channel estimation by adopting the TRS in the target frequency domain resource. The invention can improve the efficiency of channel measurement and reduce the power consumption of the TRS signal processing of the UE.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a channel estimation method and apparatus, a computer-readable storage medium, and a terminal.
Background
In a New Radio (NR) communication system, a User Equipment (UE) may perform channel estimation using a Tracking Reference Signal (TRS), and specifically, may perform estimation of a channel, such as time offset, frequency offset, doppler spread, and delay spread, using a Synchronization Signal Block (SSB) and a TRS.
In the prior art, in a cell-level frequency band FR1 (e.g., sub 6 GHz) scenario in an NR system, at most 8 SSBs can be configured, and a wide beam (beam) appears on an air interface, which reduces the accuracy of estimating related channel parameters by using the SSBs by a UE.
Specifically, after each UE succeeds in random access, the network configures a TRS signal for each UE. In a non-big data transmission scenario, for UE Downlink shared Physical Channel (PDSCH) data Channel scheduling, resource Blocks (RBs) of scheduling data in a Bandwidth Part (BWP) are dynamic at random, resulting in that the UE performs Channel estimation using a full Bandwidth TRS in a TRS period.
In the prior art, channel estimation using a full bandwidth TRS is difficult to accurately reflect a channel measurement value of a data channel, and particularly, under the condition of co-channel interference or even inter-system interference, a measurement estimation error is easily caused, so that loop tracking performances such as Automatic Frequency Control (AFC)/automatic time domain control (ATC) are affected, and waste in power consumption is easily caused.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a channel estimation method and apparatus, a computer-readable storage medium, and a terminal, which can improve the efficiency of channel measurement and reduce the power consumption of the UE for processing the TRS signal.
To solve the above technical problem, an embodiment of the present invention provides a channel estimation method, including the following steps: receiving sub-band configuration information of BWP, wherein the sub-band configuration information comprises frequency domain resources of each sub-band; measuring each sub-band according to the sub-band configuration information to obtain a sub-band CSI-RS of each sub-band; determining the channel capacity of each sub-band CSI-RS, and determining the sub-band CSI-RS with the largest channel capacity; expanding the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band as a center; and performing channel estimation by adopting the TRS in the target frequency domain resource.
Optionally, the channel estimation method further includes: determining CQI of each sub-band CSI-RS; reporting the CQI of each sub-band CSI-RS, so that a network side schedules PDSCH data according to the sub-band CSI-RS exceeding a CQI threshold value, or schedules PDSCH data according to a preset number of sub-band CSI-RSs; the preset number of sub-band CSI-RSs are the preset number of sub-band CSI-RSs obtained after the CQI is arranged from large to small.
Optionally, the channel estimation method further includes: determining SNR of each sub-band and SNR of broadband in the BWP; judging whether the difference value between the SNR of the sub-band CSI-RS with the largest channel capacity and the SNR of the broadband in the BWP exceeds a preset difference value or not; if the preset difference value is exceeded, determining sub-bands smaller than a preset SNR threshold value in the sub-bands; and carrying out interference elimination processing on the sub-bands smaller than the preset SNR threshold value.
Optionally, the determining whether the difference between the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs and the SNR of the wideband in the BWP exceeds a preset difference includes: and judging whether the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs is more than 5db larger than the SNR of the broadband in the BWP.
Optionally, before determining the SNR of each sub-band and the SNR of the wideband in the BWP, the channel estimation method further includes: and carrying out filtering processing on each sub-band and the BWP data.
Optionally, the target frequency domain resource with the preset length is 52 RBs.
To solve the above technical problem, an embodiment of the present invention provides a channel estimation apparatus, including: a receiving module, configured to receive subband configuration information of BWP, where the subband configuration information includes frequency domain resources of each subband; the measuring module is used for measuring each sub-band according to the sub-band configuration information so as to obtain the sub-band CSI-RS of each sub-band; the channel capacity determining module is used for determining the channel capacity of each sub-band CSI-RS and determining the sub-band CSI-RS with the maximum channel capacity; the extension module is used for extending the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band as a center; and the estimation module is used for adopting the TRS in the target frequency domain resource to carry out channel estimation.
Optionally, the channel estimation apparatus further includes: a CQI determining module for determining CQI of each sub-band CSI-RS; the reporting module is used for reporting the CQI of each sub-band CSI-RS so that the network side schedules the PDSCH data according to the sub-band CSI-RS exceeding the CQI threshold value or schedules the PDSCH data according to the sub-band CSI-RS with the preset number; the preset number of sub-band CSI-RSs are the preset number of sub-band CSI-RSs obtained after the CQI is arranged from large to small.
To solve the above technical problem, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to perform the steps of the above channel estimation method.
In order to solve the above technical problem, an embodiment of the present invention provides a terminal, which includes a memory and a processor, where the memory stores a computer program capable of running on the processor, and the processor executes the steps of the above channel estimation method when running the computer program.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the sub-band CSI-RS with the largest channel capacity is determined by determining the sub-band CSI-RS, and the TRS is selected based on the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs.
Furthermore, the CQI of each sub-band CSI-RS reported by the UE is set, so that the network side can know the quality of the sub-band to which each sub-band CSI-RS belongs based on CQI feedback, and then schedule PDSCH data by referring to the CQI, thereby improving the possibility that the network side schedules PDSCH data at the position with the best signal quality.
Further, when the difference between the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs and the SNR of the broadband in the BWP exceeds the preset difference, only the sub-band smaller than the preset SNR threshold is subjected to interference cancellation.
Further, the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs is set to be more than 5db larger than the SNR of the broadband in the BWP, and the method can be used for indicating that other RBs in the current BWP frequency domain range have interference signals, and effectively improves the accuracy of judgment.
Drawings
Fig. 1 is a schematic diagram of a scheduling distribution of BWP, CSI, TRS, and SSB in a time-frequency domain in the prior art;
fig. 2 is a flow chart of a channel estimation method in an embodiment of the present invention;
fig. 3 is a schematic diagram of scheduling distribution of BWP, CSI, TRS, and SSB in a time-frequency domain according to an embodiment of the present invention;
FIG. 4 is a partial flow diagram of another channel estimation method in an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a channel estimation device according to an embodiment of the present invention.
Detailed Description
As described above, in a non-big data transmission scenario, for UE downlink PDSCH data channel scheduling, RBs for scheduling data in BWP is dynamic randomly, which causes UE to perform channel estimation using full-bandwidth TRS in TRS period, which easily causes measurement estimation error, thereby affecting loop tracking performance such as AFC/ATC, and also easily causes waste in power consumption.
Referring to fig. 1, fig. 1 is a schematic diagram of a scheduling distribution of BWP, CSI, TRS, and SSB in a time-frequency domain in the prior art.
Specifically, after each UE succeeds in random access, the network configures a TRS signal for the UE, as shown in fig. 1, taking the bandwidth of the NR system cell as 100M, the BWP bandwidth is 100m, and the TRS bandwidth is also 100M. In a non-big data transmission scenario, for UE downlink PDSCH data channel scheduling, frequency domain resources (for example, which RBs to use) for scheduling data in BWP are dynamic at random, so that the UE needs to use a full-bandwidth TRS for channel estimation in a TRS period, that is, a 100M TRS bandwidth. However, as shown in fig. 1, there are interfering signals, such as frequency interference or inter-system interference signals.
The inventor of the present invention finds, through research, that in the prior art, when full-bandwidth TRS is used for channel estimation, TRS carrying interference signals may be used, which may easily cause measurement estimation errors, and cause channel measurement value errors reflecting data channels, thereby affecting loop tracking performance such as AFC/ATC, and easily causing waste in power consumption.
In the embodiment of the invention, the sub-band CSI-RS with the maximum Channel capacity is determined by determining the sub-band CSI-RS (Channel State Information Reference Information, CSI-RS) and then selecting the TRS based on the frequency domain resource of the sub-band to which the sub-band CSI-RS with the maximum Channel capacity belongs.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Referring to fig. 2, fig. 2 is a flowchart of a channel estimation method according to an embodiment of the present invention. The channel estimation method may include steps S21 to S25:
step S21: receiving sub-band configuration information of BWP, wherein the sub-band configuration information comprises frequency domain resources of each sub-band;
step S22: measuring each sub-band according to the sub-band configuration information to obtain a sub-band CSI-RS of each sub-band;
step S23: determining the channel capacity of each sub-band CSI-RS, and determining the sub-band CSI-RS with the maximum channel capacity;
step S24: expanding the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band as a center;
step S25: and performing channel estimation by adopting the TRS in the target frequency domain resource.
In a specific implementation of step S21, the UE may receive the subband configuration information of BWP from the base station.
The subband configuration information may include frequency-domain resources of each subband (Sub-band), for example, an RB position of each subband.
In a specific implementation of step S22, each subband is measured according to the subband configuration information to obtain a subband CSI-RS of each subband.
In a specific implementation, the UE may measure CSI-RS of each subband according to the frequency domain resource (e.g., RB location) of each subband, and obtain the result.
In a specific implementation of step S23, the UE may determine the channel capacity of each sub-band CSI-RS, and determine the sub-band CSI-RS with the largest channel capacity.
In specific implementation, the channel capacity of the sub-band CSI-RS may be determined by using an appropriate conventional calculation method, and in the embodiment of the present invention, the specific calculation method is not limited.
In the specific implementation of step S24, the UE may extend to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs as a center.
Referring to fig. 3, fig. 3 is a schematic diagram of scheduling distribution of BWP, CSI, TRS, and SSB in a time-frequency domain according to an embodiment of the present invention.
As shown in fig. 3, after the UE succeeds in random access, the network side configures a TRS signal for the UE, taking the system cell bandwidth as 100M, the BWP bandwidth is 100m, and the TRS bandwidth is also 100M.
After the network side performs subband configuration, each subband CSI-RS can be marked as a subband CSI-RS 1, a subband CSI-RS 2, a subband CSI-RS 3 and a subband CSI-RS 4.
Referring to table 1, table 1 is a schematic diagram of a subband configuration of a CSI-RS report in an NR system.
TABLE 1
BWP(PRBs) | sub-Band Size (PRBs) |
<24 | N/A |
24–72 | 4,8 |
73–144 | 8,16 |
145–275 | 16,32 |
As shown in table 1, in a 100M bandwidth scenario, the number of RBs occupied by a subband may be 16 RBs or 32 RBs.
However, for a TRS, the minimum RB for the proposed process may exceed the number of RBs occupied for the subband, e.g., in one embodiment, the minimum RB for the proposed process is 52 RBs for a TRS.
Further, the target frequency domain resource of the preset length may be 52 RBs.
As shown in fig. 3, after determining that the sub-band CSI-RS with the largest channel capacity is the sub-band CSI-RS 3, the sub-band CSI-RS 3 may be centered and extended to a target frequency domain resource with a preset length, for example, to 52RB, where the 52RB is the optimal TRS frequency domain position.
With continued reference to fig. 2, in a specific implementation of step S25, the UE may perform channel estimation using the TRS in the target frequency domain resource.
Specifically, the UE may employ the TRS extended to a frequency domain position of 52 RBs for channel estimation.
In the embodiment of the invention, the sub-band CSI-RS with the largest channel capacity is determined by determining the sub-band CSI-RS, and the TRS is selected based on the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs.
Referring to fig. 4, fig. 4 is a partial flow chart of another channel estimation method according to an embodiment of the present invention. The steps of the other channel estimation method may include steps S41 to S42, and the respective steps are explained below.
In a specific implementation of step S41, the CQI for each sub-band CSI-RS may be determined.
In a specific implementation, the CQI of the sub-band CSI-RS may be determined by using an appropriate conventional calculation method, and in the embodiment of the present invention, the specific calculation method is not limited.
In the specific implementation of step S42, the UE may report the CQI of each sub-band CSI-RS to the network side, so that the network side schedules PDSCH data according to the sub-band CSI-RS exceeding the CQI threshold, or schedules PDSCH data according to a preset number of sub-band CSI-RS;
specifically, in the first specific implementation manner of the embodiment of the present invention, taking the example that the UE reports the CQI of 100 sub-band CSI-RSs, the network side may determine, according to the CQI threshold, the sub-band CSI-RS that exceeds the CQI threshold, for example, 40 sub-band CSI-RSs, and then the network side may schedule the PDSCH data with reference to the 40 sub-band CSI-RSs.
In a second specific implementation manner of the embodiment of the present invention, taking the CQI of 100 sub-band CSI-RSs reported by the UE as an example, the network side may arrange the CQI from large to small, and then select the front preset number of sub-band CSI-RSs, for example, select 50 sub-band CSI-RSs with the largest CQI, and further may refer to the 50 sub-band CSI-RSs to schedule PDSCH data.
It should be noted that, since the UE does not transmit the channel capacity of each sub-band CSI-RS to the network side, the network side cannot determine the sub-band quality according to the channel capacity. In the embodiment of the invention, the CQI of each sub-band CSI-RS reported by the UE is set, so that the network side can know the quality of the sub-band to which each sub-band CSI-RS belongs based on CQI feedback, and then the PDSCH data is scheduled by referring to the CQI, thereby improving the possibility that the network side schedules the PDSCH data at the position with the best signal quality.
Further, the channel estimation method may further include a step of interference cancellation processing.
Specifically, the channel estimation method may further include: determining SNR of each sub-band and SNR of broadband in the BWP; judging whether the difference value between the SNR of the sub-band CSI-RS with the largest channel capacity and the SNR of the broadband in the BWP exceeds a preset difference value or not; if the preset difference value is exceeded, determining sub-bands smaller than a preset SNR threshold value in the sub-bands; and carrying out interference elimination processing on the sub-bands smaller than the preset SNR threshold value.
In a specific implementation, an appropriate conventional calculation method may be used to determine the SNR of each subband, and in the embodiment of the present invention, a specific calculation method is not limited.
In the embodiment of the present invention, when the difference between the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs and the SNR of the broadband in the BWP exceeds the preset difference, only the sub-band smaller than the preset SNR threshold is subjected to interference cancellation processing, and in contrast to performing interference cancellation on the whole broadband, in the embodiment of the present invention, at least a part of the sub-bands are selected for interference cancellation, so that the power consumption of the UE can be effectively reduced.
Further, the step of judging whether the difference between the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs and the SNR of the wideband in the BWP exceeds a preset difference comprises: and judging whether the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs is more than 5db larger than the SNR of the broadband in the BWP.
In the embodiment of the invention, the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs is set to be more than 5db larger than the SNR of the broadband in the BWP, so that the method can be used for indicating that other RBs in the current BWP frequency domain range have interference signals, and the accuracy of judgment is effectively improved.
Further, before determining the SNR of each sub-band and the SNR of the wideband in the BWP, the channel estimation method may further include: and carrying out filtering processing on each sub-band and the BWP data.
In the embodiment of the present invention, by setting filtering processing, noise in each sub-band and data of the BWP can be effectively reduced, thereby further improving the SNR of each sub-band and the effectiveness of the SNR of the wideband in the BWP.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a channel estimation apparatus according to an embodiment of the present invention. The channel estimation apparatus may include:
a receiving module 51, configured to receive subband configuration information of BWP, where the subband configuration information includes frequency domain resources of each subband;
a measuring module 52, configured to measure each subband according to the subband configuration information to obtain a subband CSI-RS of each subband;
a channel capacity determining module 53, configured to determine channel capacities of the sub-band CSI-RSs and determine a sub-band CSI-RS with a largest channel capacity;
an extension module 54, configured to extend to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs as a center;
and an estimating module 55, configured to perform channel estimation by using the TRS in the target frequency domain resource.
Further, the channel estimation apparatus may further include: a CQI determining module for determining CQI of each sub-band CSI-RS; the reporting module is used for reporting the CQI of each sub-band CSI-RS so that the network side schedules PDSCH data according to the sub-band CSI-RS exceeding the CQI threshold value or schedules PDSCH data according to the sub-band CSI-RS with the preset number; the preset number of sub-band CSI-RSs are the preset number of sub-band CSI-RSs obtained after the CQI is arranged from large to small.
Further, the channel estimation apparatus may further include: an SNR determination module for determining SNR of each sub-band and SNR of wideband in the BWP; a difference value judging module, configured to judge whether a difference value between an SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs and an SNR of the wideband in the BWP exceeds a preset difference value; a sub-band determining module, configured to determine, when the preset difference is exceeded, a sub-band smaller than a preset SNR threshold in each sub-band; and the interference elimination module is used for carrying out interference elimination processing on the sub-band smaller than the preset SNR threshold.
In the embodiment of the invention, the sub-band CSI-RS with the largest channel capacity is determined by determining the sub-band CSI-RS, and the TRS is selected based on the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs.
For the principle, specific implementation and beneficial effects of the apparatus for channel estimation, please refer to the related description of the method for channel estimation described above, and will not be described herein again.
It should be noted that the technical solution of the present invention is applicable to 5G (5 Generation) communication systems, 4G and 3G communication systems, and various future communication systems, such as 6G and 7G.
Embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the above method. The storage medium may be a computer-readable storage medium, and may include, for example, a non-volatile (non-volatile) or non-transitory (non-transitory) memory, and may further include an optical disc, a mechanical hard disk, a solid state hard disk, and the like.
Specifically, in the embodiment of the present invention, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will also be appreciated that the memory in the embodiments of the subject application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example and not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (enhanced SDRAM), synchronous DRAM (SLDRAM), synchronous Link DRAM (SLDRAM), and direct bus RAM (DR RAM).
The embodiment of the invention also provides a terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program capable of running on the processor, and the processor executes the steps of the method when running the computer program. The terminal includes, but is not limited to, a mobile phone, a computer, a tablet computer and other terminal devices.
Specifically, a terminal in this embodiment may refer to various forms of User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a Mobile Station (MS), a remote station, a remote terminal, a mobile device, a user terminal, a terminal device (terminal device), a wireless communication device, a user agent, or a user equipment. The terminal device may also be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with a 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 future 5G Network or a terminal device in a future evolved Public Land Mobile Network (PLMN), and the like, which is not limited in this embodiment.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A channel estimation method, comprising the steps of:
receiving sub-band configuration information of a bandwidth part BWP, wherein the sub-band configuration information comprises frequency domain resources of each sub-band;
measuring each sub-band according to the sub-band configuration information to obtain sub-band channel state information-reference signal CSI-RS of each sub-band;
determining the channel capacity of each sub-band CSI-RS, and determining the sub-band CSI-RS with the maximum channel capacity; expanding the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band as a center;
and performing channel estimation by adopting the TRS in the target frequency domain resource.
2. The channel estimation method of claim 1, further comprising:
determining Channel Quality Indicator (CQI) of each sub-band CSI-RS;
reporting the CQI of each sub-band CSI-RS, so that a network side schedules Physical Downlink Shared Channel (PDSCH) data according to the sub-band CSI-RS exceeding a CQI threshold value, or schedules PDSCH data according to a preset number of sub-band CSI-RSs;
the preset number of sub-band CSI-RSs are the front preset number of sub-band CSI-RSs obtained after the CQIs are arranged from large to small.
3. The channel estimation method of claim 1, further comprising:
determining the SNR of each sub-band and the SNR of the broadband in the BWP;
judging whether the difference value between the SNR of the sub-band CSI-RS with the maximum channel capacity and the SNR of the broadband in the BWP exceeds a preset difference value or not;
if the preset difference value is exceeded, determining sub-bands smaller than a preset SNR threshold value in the sub-bands;
and carrying out interference elimination processing on the sub-bands smaller than the preset SNR threshold.
4. The channel estimation method of claim 3, wherein determining whether the difference between the SNR of the sub-band CSI-RS with the largest channel capacity and the SNR of the wideband in the BWP exceeds a preset difference comprises:
and judging whether the SNR of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs is more than 5db larger than the SNR of the broadband in the BWP.
5. The channel estimation method of claim 1, further comprising, before determining the SNR for each subband and the SNR for the wideband within the BWP:
and carrying out filtering processing on each sub-band and the BWP data.
6. The channel estimation method according to claim 1, wherein the target frequency domain resource of the preset length is 52 Resource Blocks (RBs).
7. A channel estimation device, comprising:
a receiving module, configured to receive subband configuration information of BWP, where the subband configuration information includes frequency domain resources of each subband;
the measuring module is used for measuring each sub-band according to the sub-band configuration information so as to obtain the sub-band CSI-RS of each sub-band;
the channel capacity determining module is used for determining the channel capacity of each sub-band CSI-RS and determining the sub-band CSI-RS with the maximum channel capacity;
the extension module is used for extending the frequency domain resource of the sub-band to which the sub-band CSI-RS with the largest channel capacity belongs to a target frequency domain resource with a preset length by taking the frequency domain resource of the sub-band as a center;
and the estimation module is used for adopting the TRS in the target frequency domain resource to carry out channel estimation.
8. The channel estimation device according to claim 7, further comprising:
a CQI determining module for determining CQI of each sub-band CSI-RS;
the reporting module is used for reporting the CQI of each sub-band CSI-RS so that the network side schedules the PDSCH data according to the sub-band CSI-RS exceeding the CQI threshold value or schedules the PDSCH data according to the sub-band CSI-RS with the preset number;
the preset number of sub-band CSI-RSs are the preset number of sub-band CSI-RSs obtained after the CQI is arranged from large to small.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of channel estimation according to one of claims 1 to 6.
10. A terminal comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, wherein the processor, when executing the computer program, performs the steps of the method of channel estimation according to any of claims 1 to 6.
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