CN110149180B

CN110149180B - Distribution method of search space channel estimation number and terminal equipment

Info

Publication number: CN110149180B
Application number: CN201810147557.6A
Authority: CN
Inventors: 纪子超; 潘学明
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2018-02-12
Filing date: 2018-02-12
Publication date: 2021-01-22
Anticipated expiration: 2038-02-12
Also published as: CN110149180A

Abstract

The invention discloses a distribution method and terminal equipment for searching space channel estimation number, wherein the method comprises the following steps: if the sum of the channel estimation numbers required by all the search spaces of the terminal equipment exceeds the maximum channel estimation number supported by the terminal equipment, performing first distribution on the channel estimation numbers corresponding to the search spaces of the terminal equipment; wherein the sum of the number of channel estimates needed for all search spaces after the first allocation by the terminal device is less than or equal to the maximum number of channel estimates supported by the terminal device. The embodiment of the invention redistributes the channel estimation numbers corresponding to the search space when the channel estimation numbers required by the terminal equipment exceed the preset number, so that the sum of the channel estimation numbers required by all the search spaces is less than or equal to the maximum channel estimation number supported by the terminal equipment, thereby fully utilizing the processing capacity of the terminal equipment, maximizing the control resource allocation, reducing the control channel allocation blocking probability and simultaneously ensuring that the maximum channel estimation number of the terminal equipment is not exceeded.

Description

Distribution method of search space channel estimation number and terminal equipment

Technical Field

The present invention relates to the field of communications/terminals, and in particular, to a method for allocating search space channel estimates and a terminal device.

Background

In a Long Term Evolution (LTE) system, a User Equipment (UE) monitors only one Physical Downlink Control Channel (PDCCH) channel. In the PDCCH, the UE blindly detects PDCCH candidates in a fixed search space, attempts to demodulate Downlink Control Information (DCI), and determines the total number of the blindly detected PDCCH candidates. The PDCCH performs channel estimation using a Cell-specific reference signal (CRS). Since CRS is cell-specific, the channel estimation complexity of the UE does not increase linearly with the number of blind detections.

The 5G NR system supports configuring a plurality of control resource sets (CORESET) and a plurality of search spaces for the UE, flexibly configures the number of blind tests for each search space, and can flexibly associate the CORESET with the search spaces. On the other hand, the PDCCH of the NR system supports UE-specific demodulation reference signals (URS) for the UE to perform channel estimation. In addition, to reduce the implementation complexity of the UE, the NR system also specifies that the maximum number of channel estimates per unit time for the UE, i.e. the sum of the channel estimates over all search spaces, cannot exceed this upper limit.

The channel estimation of the UE is performed in units of Control Channel Elements (CCEs), and PDCCH candidates allocated the same CCEs may share the channel estimation result. In the NR system, the positions of PDCCH candidates (equivalent to the numbers of CCEs to which they are allocated) at different Aggregation Levels (AL) within a search space are determined by a pseudo random function (hash function). Therefore, according to the hash result of the hash function, the CCEs allocated to PDCCH candidates for different ALs may be the same or different. Therefore, at different time points, the total number of channel estimates needed for the blind search space is different, and may exceed the maximum number of channel estimates supported by the UE.

If the search space is configured according to the channel estimates required in the worst case (i.e., assuming that the CCEs allocated by the candidates for different ALs never overlap), although it can be ensured that the maximum number of channel estimates supported by the UE is not exceeded, the number of allowed blind detections for configuration is greatly reduced, which may result in the system being able to use only a number of channel estimates that is much smaller than the maximum number of channel estimates supported by the UE. The allocation formula can not fully utilize the capability of the UE, thereby greatly reducing the control resource utilization rate of the system and improving the distribution blocking probability of the control channel.

Disclosure of Invention

The embodiment of the invention aims to provide a method for allocating search space channel estimation numbers and a terminal device, so as to fully utilize the processing capacity of the terminal device, maximize control resource allocation, reduce the control channel allocation blocking probability and ensure that the maximum channel estimation numbers of the terminal device are not exceeded.

In a first aspect, a method for allocating search space channel estimates is provided, which is applied to a terminal device, and includes:

if the sum of the channel estimation numbers required by all the search spaces of the terminal equipment exceeds the maximum channel estimation number supported by the terminal equipment, performing first distribution on the channel estimation numbers corresponding to the search spaces of the terminal equipment; wherein the sum of the number of channel estimates needed for all search spaces after the first allocation by the terminal device is less than or equal to the maximum number of channel estimates supported by the terminal device.

In a second aspect, a terminal device is provided, which includes:

a first allocation module, for performing a first allocation on the channel estimation numbers corresponding to the search space of the terminal device if the sum of the channel estimation numbers required by all the search spaces of the terminal device exceeds the maximum channel estimation number supported by the terminal device;

wherein the sum of the number of channel estimates needed for all search spaces after the first allocation by the terminal device is less than or equal to the maximum number of channel estimates supported by the terminal device.

In a third aspect, a terminal device is provided, the terminal device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method according to the first or third aspect.

In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when executed by a processor, implements the steps of the method according to the first or third aspect.

The method of the embodiment of the invention can realize at least one of the following beneficial effects:

the channel estimation numbers corresponding to the search spaces are redistributed when the channel estimation numbers required by the terminal equipment exceed the preset number, so that the sum of the channel estimation numbers required by all the search spaces is less than or equal to the maximum channel estimation number supported by the terminal equipment, the processing capacity of the terminal equipment can be fully utilized, the resource allocation is controlled to the maximum, the control channel allocation blocking probability is reduced, and meanwhile, the maximum channel estimation number not exceeding the terminal equipment is ensured.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a flow chart of a method for allocating search space channel estimates according to an embodiment of the present invention.

Fig. 2 is a diagram of a scenario in which search space PDCCH candidates do not overlap.

Fig. 3 is a diagram of a scenario in which search space PDCCH candidates overlap.

Fig. 4 is a flow chart of a method for allocating the number of search space channel estimates according to another embodiment of the present invention.

Fig. 5 is a diagram illustrating a scenario of PDCCH candidate allocation with different aggregation levels according to an embodiment of the present invention.

Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present invention.

Fig. 7 is a schematic structural diagram of a first distribution module according to an embodiment of the present invention.

Fig. 8 is a schematic structural diagram of a first distribution module according to another embodiment of the present invention.

Fig. 9 is a schematic structural diagram of a terminal device according to another embodiment of the present invention.

Fig. 10 is a schematic structural diagram of a second distribution module according to an embodiment of the present invention.

Fig. 11 is a schematic structural diagram of a second distribution module according to another embodiment of the present invention.

Fig. 12 is a schematic structural diagram of a second distribution module according to still another embodiment of the present invention.

Fig. 13 is a schematic structural diagram of a terminal device according to still another embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The technical scheme of the invention can be applied to various communication systems, such as: global System for Mobile communications (GSM), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), General Packet Radio Service (GPRS), Long Term Evolution (LTE), Long Term Evolution/enhanced Long Term Evolution (LTE-a), and nr new Radio.

A User Equipment (UE), also referred to as a Terminal Equipment (Mobile Terminal), a Mobile User Equipment (ms), etc., may communicate with one or more core networks via a Radio Access Network (RAN, Radio Access Network, for example), and the UE may be a Terminal Equipment, such as a Mobile phone (or a "cellular" phone) and a computer having the Terminal Equipment, such as a portable, pocket, handheld, computer-embedded or vehicle-mounted Mobile device, which exchange languages and/or data with the Radio Access Network.

The Base Station may be a Base Transceiver Station (BTS) in GSM or CDMA, a Base Station (NodeB) in WCDMA, or an evolved Node B (eNB or e-NodeB) and a 5G Base Station (gNB) in LTE.

The technical solutions provided by the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

Fig. 1 is a flow chart of a method for allocating search space channel estimates according to an embodiment of the present invention. The method of fig. 1 is applicable to a terminal device. The method comprises the following steps:

s101, if the sum of the channel estimation numbers required by all the search spaces of the terminal equipment exceeds the maximum channel estimation number supported by the terminal equipment, performing first distribution on the channel estimation numbers corresponding to the search spaces of the terminal equipment.

In the embodiment of the invention, the channel estimation numbers corresponding to the search spaces are redistributed when the channel estimation numbers required by the terminal equipment exceed the preset number, so that the sum of the channel estimation numbers required by all the search spaces is less than or equal to the maximum channel estimation number supported by the terminal equipment, thereby fully utilizing the processing capacity of the terminal equipment, maximizing the control resource allocation, reducing the control channel allocation blocking probability and ensuring that the maximum channel estimation number of the terminal equipment is not exceeded.

It should be understood, of course, that in the embodiments of the present invention, the channel estimates needed for all search spaces and the maximum channel estimate are compared in the same time unit. For example, the number of channel estimates required for all search spaces of the terminal device refers to the number of channel estimates required for all search spaces of the terminal device within a unit of time. The maximum number of channel estimates supported by the terminal device also refers to the maximum number of channel estimates supported by the terminal device in a unit of time. The time unit here may be a subframe, a slot, a symbol, or the like, and this is not limited in the embodiments of the present invention.

For ease of understanding, the method of the embodiment of the present invention is described below with reference to fig. 2 and 3. Fig. 2 is a schematic diagram of a scenario in which PDCCH candidates in search spaces do not overlap, where the slashed region number item is a PDCCH candidate. Fig. 3 is a diagram of a scenario in which search space PDCCH candidates overlap, where the slashed region number entry is a PDCCH candidate.

Optionally, step S101 may be specifically implemented as:

performing first distribution on channel estimation numbers corresponding to a search space of the terminal equipment based on the first parameter;

wherein the first parameter comprises at least one of:

the method comprises the steps of searching for a space type, a DCI format of a PDCCH candidate bearer in the searching space, the number of candidates in the searching space, the total number of PDCCH candidates in all the searching spaces of the terminal equipment, a scheduling type of the PDCCH candidates, a service type of the PDCCH candidates, the number of channel estimations required by the searching space, a monitoring period of the searching space, a priority of the searching space, and a DCI size of the PDCCH candidate bearer in the searching space.

For example, how to perform the first allocation may be determined according to the search space type and the total number of PDCCH candidates for all search spaces of the terminal device, or according to the priority of the search spaces, and so on.

Optionally, in some embodiments, the first allocating, based on the first parameter, the number of channel estimates corresponding to the search space of the terminal device may be implemented as:

performing priority ordering on the unit search space based on the first parameter;

and reducing the number of channel estimates of the unit search space with low priority according to the priority order until the sum of the number of channel estimates needed by all the search spaces is less than or equal to the maximum number of channel estimates.

For example, assume that the first parameter includes a search space type. The network side equipment configures two search spaces for the UE, wherein one search space is a public search space, the other search space is a UE specific search space, and each search space has different periods and PDCCH candidate configuration.

The UE may prioritize the search spaces based on the search space type, determine that the common search space priority is before and the UE-specific search space priority is after.

When the UE needs to perform blind detection on two search spaces in the same time slot (i.e., the search spaces overlap in time), and the number of required channel estimates exceeds the maximum number of channel estimates of the UE, the UE preferentially satisfies the number of channel estimates required for the common search space, and then allocates the remaining number of channel estimates to the UE-specific search space. That is, the UE first reduces the number of channel estimates for the UE-specific search space with low priority until the sum of the number of channel estimates needed for all the search spaces is less than or equal to the maximum number of channel estimates; if the sum of the number of channel estimates needed for all search spaces is still greater than the maximum number of channel estimates when the number of channel estimates for the UE-specific search space is 0, the number of channel estimates for the common search space is reduced.

It should be understood that, in the embodiment of the present invention, the channel estimation numbers are allocated based on the priorities corresponding to the unit search spaces, so that the allocation of the channel estimation numbers can ensure the requirement of the unit search spaces with high priorities.

It should be understood that in embodiments of the present invention, a unit search space may comprise one search space; or, the unit search space includes a search space group including a plurality of search spaces; alternatively, the unit search space may include all search spaces associated with one CORESET.

determining the scaling of the unit search space corresponding to each first parameter based on the first parameters;

and allocating the channel estimation numbers of each unit search space based on the scaling of each unit search space until the sum of the channel estimation numbers of all the search spaces is less than or equal to the maximum channel estimation number.

For example, it is also assumed that the first parameter includes a search space type. The network side equipment configures two UE specific search spaces for the UE, and each search space has different periods and PDCCH candidate configuration.

When a UE needs to blindly detect two search spaces within the same slot (i.e., the search spaces overlap in time), and the number of required channel estimates exceeds the maximum number of channel estimates for the UE, it is assumed that the number of channel estimates required for search space S1 is C1, the number of channel estimates required for search space S2 is C2, the maximum number of channel estimates supported by the UE is M, and C1+ C2> M.

UE according to the formula

Calculating the scaling of S1 and S2 respectively;

the UE scales the channel estimates of S1 and S2 according to the scaling.

Optionally, the UE may scale linearly S1 and S2 according to the scaling ratioThe number of channel estimates of (a) is,

it should be understood that, in the embodiment of the present invention, the scaling is performed based on the scaling corresponding to the unit search space, so that the channel estimation number can be allocated while balancing each unit search space.

It should be understood that in embodiments of the present invention, a unit search space may comprise one search space; or, the unit search space comprises a search space group, and the search space group comprises a plurality of search spaces; alternatively, the unit search space may include all search spaces associated with one CORESET.

Fig. 4 is a flow chart of a method for allocating the number of search space channel estimates according to another embodiment of the present invention. Optionally, as shown in fig. 4, after step S101, the method may further include:

and S102, if the channel estimation number required by the target unit search space of the terminal equipment exceeds the first channel estimation number, carrying out second distribution on the channel estimation number corresponding to the target unit search space.

The first channel estimation number is a channel estimation number configured by the network side device for the target unit search space, or a channel estimation number obtained after the terminal device performs the first allocation for the target unit search space;

the sum of the second channel estimates for the target unit search space after the second allocation is less than or equal to the first channel estimate.

In the embodiment of the invention, the channel estimation number required by the target unit search space of the terminal equipment exceeds the channel estimation number configured for the target unit search space by the network side equipment, and the channel estimation number corresponding to the target unit search space is redistributed, so that the processing capacity of the terminal equipment can be fully utilized, the resource allocation is controlled to the maximum extent, the blocking probability of the control channel allocation is reduced, and meanwhile, the channel estimation number configured for the network side equipment is ensured not to exceed.

Further, step S102 may be specifically implemented as:

performing second distribution on the channel estimation number corresponding to the target unit search space based on a second parameter;

wherein the second parameter comprises at least one of:

aggregation level of PDCCH candidates, scheduling type of PDCCH candidates, traffic type of PDCCH candidates, type of cell or carrier being scheduled, subcarrier spacing of cell or carrier being scheduled, DCI format carried by PDCCH candidates in a search space, number of PDCCH candidates in a search space.

Optionally, in some embodiments, performing a second allocation on the number of channel estimates corresponding to the target unit search space based on a second parameter may include:

prioritizing the PDCCH candidates of the target unit search space based on the second parameter;

the low priority PDCCH candidates are discarded until the number of channel estimates for the target unit search space is less than or equal to the first number of channel estimates.

For example, assume that the second parameter includes a scheduled cell type. Assume that a network side device configures a UE-specific search space for a UE, and the search space schedules a primary cell and a secondary cell simultaneously.

The UE may determine that the priority of the PDCCH candidate for the primary cell is higher than the priority of the PDCCH candidate for the secondary cell.

If the number of channel estimates allocated to the search space by the UE at a certain time is less than the number of channel estimates required for blind detection of all PDCCH candidates in the search space, the UE may preferentially satisfy the number of channel estimates required for scheduling the PDCCH candidates of the primary cell, and then allocate the remaining number of channel estimates to the PDCCH candidates of the scheduling secondary cell.

Optionally, in some embodiments, step S102 may be specifically implemented as:

dividing the PDCCH candidates of the target unit search space into a plurality of PDCCH candidate sets according to the aggregation level;

determining the discarding sequence of PDCCH candidates in each PDCCH candidate set based on the CCE numbers of the control channel elements corresponding to the PDCCH candidates;

and discarding PDCCH candidates with a discarding order being the front one by one in the plurality of PDCCH candidate sets in a polling mode according to the plurality of PDCCH candidate sets until the number of channel estimates of the target unit search space is less than or equal to the first number of channel estimates.

For example, suppose the network configures UE-specific search space for the UE, where the blind detection number of AL-4 is 2, the blind detection number of AL-2 is 4, and the blind detection number of AL-1 is 4.

If the maximum number of channel estimates allocated to the search space by the UE at a certain time is less than the number of channel estimates required for blind detection of all PDCCH candidates in the search space, the UE may select to discard the PDCCH candidates in the order of AL from small to large and CCE number from small to large. For example, a PDCCH candidate with the smallest CCE number AL-1 is discarded first, a PDCCH candidate with the smallest CCE number AL-2 is discarded, and so on, if there is no PDCCH candidate with a larger AL, the process is started from AL-1 again. Until the number of channel estimates required is less than the maximum number of channel estimates allocated to the search space.

Optionally, in some embodiments, step S102 may be specifically implemented as:

determining CCEs corresponding to PDCCH candidates of each aggregation level in the target unit search space;

classifying the PDCCH candidates in each aggregation level in the target unit search space, wherein CCEs corresponding to the PDCCH candidates of the first type do not overlap with CCEs corresponding to other PDCCH candidates in a control resource set CORESET associated with the target unit search space, PDCCH candidates of the second type share the CCEs with PDCCH candidates of a lower aggregation level, and PDCCH candidates of the third type share the CCEs with PDCCH candidates of a higher aggregation level;

circularly executing the following steps to adjust the number of the hyper-branch channel estimates until the number of the hyper-branch channel estimates is less than or equal to zero:

determining the equivalent channel estimation number of each PDCCH candidate in the target unit search space, and determining the number of the overbranched channel estimation, wherein the number of the overbranched channel estimation is equal to the number of the channel estimation actually needed by the target unit search space minus the first channel estimation number;

selecting a target PDCCH candidate from the first type or the second type of PDCCH candidates of the target unit search space and discarding;

and subtracting the equivalent channel estimation number corresponding to the target PDCCH candidate from the excess channel estimation number to serve as the adjusted excess channel estimation number.

It should be understood that, in the embodiment of the present invention, the categorized PDCCH candidates may be categorized into three categories, i.e., a first type, a second type, and a third type.

It should be understood that in the embodiments of the present invention, there may be one or more search spaces on one CORESET, and in this case, the CORESET is the CORESET associated with the one or more search spaces.

It is understood that the CCEs to which PDCCH candidates correspond may include CCEs allocated or occupied by PDCCH candidates.

Of course, it should be understood that the PDCCH candidates of the first type described above may also, instead, satisfy the following conditions:

the CCEs corresponding to PDCCH candidates of the first type do not overlap with CCEs corresponding to other PDCCH candidates of the target unit search space.

Further, determining the number of equivalent channel estimates for each PDCCH candidate in the target unit search space comprises:

determining the aggregation level of a first PDCCH candidate of a first type as the equivalent channel estimation number of the first PDCCH candidate;

determining the number of CCEs which are not overlapped with other PDCCH candidates of CORESET associated with the target unit search space in the CCEs allocated to the second PDCCH candidate of the second type as the equivalent channel estimation number of the second PDCCH candidate;

the number of equivalent channel estimates to determine a third PDCCH candidate of the third type is determined to be 0.

Of course, there may be other schemes for determining the number of equivalent channel estimates for PDCCH candidates, and embodiments of the present invention are not listed here.

It should be understood that the scheme for selecting the target PDCCH candidate from the first type or the second type of PDCCH candidates in the target unit search space may be predefined, for example, specified by a protocol, or configured by the network side, and the embodiment of the present invention is not limited herein.

For example, selecting and discarding a target PDCCH candidate from PDCCH candidates of the first type or the second type of the target unit search space may include:

alternately selecting a target PDCCH candidate from the first type or the second type of PDCCH candidates of the target unit search space and discarding;

or, selecting and discarding a target PDCCH candidate from the first type of PDCCH candidates of the target unit search space, and when the first type of PDCCH candidate of the target unit search space is empty, selecting and discarding a target PDCCH candidate from the second type of PDCCH candidates of the target unit search space;

or, selecting and discarding a target PDCCH candidate from the second type of PDCCH candidates of the target unit search space, and when the first type of PDCCH candidate of the target unit search space is empty, selecting and discarding a target PDCCH candidate from the first type of PDCCH candidates of the target unit search space;

or, a PDCCH candidate having the closest equivalent channel estimation number to the overbranched channel estimation number is preferentially selected as the target PDCCH candidate from the first type or the second type PDCCH candidates in the target unit search space.

Of course, it should be understood that when there are a plurality of PDCCH candidates closest to the number of overbranched channel estimates, the target PDCCH candidate is selected from the plurality of PDCCH candidates closest to the number of overbranched channel estimates in order of aggregation level from small to large; and when a plurality of PDCCH candidates with the lowest aggregation level exist in the PDCCH candidates closest to the number of the overbranched channel estimates, selecting the PDCCH candidate with the largest or smallest CCE number as the target PDCCH candidate from the PDCCH candidates with the lowest aggregation level according to the sequence of the CCE numbers corresponding to the PDCCH candidates.

For ease of understanding, the following is illustrated in connection with FIG. 5. Fig. 5 is a diagram illustrating a scenario of PDCCH candidate allocation with different aggregation levels according to another embodiment of the present invention.

Step 1, assuming that the CCE allocated (or occupied) by each AL blind test candidate at a certain time is determined according to the hash function of the search space, as shown in fig. 5.

And 2, dividing blind test candidates into three types, wherein the

blind test candidates

3 and 6 are of a first type, the blind test candidate 1 is of a second type, and the

blind test candidates

2, 4 and 5 are of a third type.

Calculating an equivalent channel estimation number (EC) of each blind detection candidate, wherein EC of the blind detection candidate 3 is 2, and EC of the blind detection candidate 6 is 1; EC of the blind test candidate 1 is 1; EC of the

blind detection candidates

2, 4, and 5 is 0.

And 4, selecting and discarding blind detection candidates according to the number (X) of the hyper-branch channel estimation. Wherein, if X is 2, blind test candidate 3 is selected; if X is 1, then blind

candidate

6 or 1 is selected. Blind candidates with low AL, i.e. blind candidate 6, are preferably selected.

It should be understood that, in the embodiment of the present invention, the target unit search space may include one search space; alternatively, the target unit search space may include a search space group including a plurality of search spaces; alternatively, the target unit search space may include all search spaces associated with one CORESET.

Fig. 6 is a schematic structural diagram of a terminal device 600 according to an embodiment of the present invention. As shown in fig. 6, the terminal device 600 may include:

a first allocation module 610, configured to perform first allocation on the channel estimation numbers corresponding to the search spaces of the terminal device if the sum of the channel estimation numbers required by all the search spaces of the terminal device exceeds the maximum channel estimation number supported by the terminal device;

Further, the first allocating module 610 is specifically configured to:

wherein the first parameter comprises at least one of:

the method comprises the steps of searching the space type, the format of Downlink Control Information (DCI) carried by PDCCH candidates in the searching space, the number of Physical Downlink Control Channel (PDCCH) candidates in the searching space, the total number of PDCCH candidates in all the searching spaces of the terminal equipment, the scheduling type of the PDCCH candidates, the service type of the PDCCH candidates, the number of channel estimations required by the searching space, the monitoring period of the searching space, the priority of the searching space and the DCI size carried by the PDCCH candidates in the searching space.

Fig. 7 is a schematic structural diagram of a first distribution module according to an embodiment of the present invention. Alternatively, in some embodiments, the first distribution module 610 of the terminal device 600 may be as shown in fig. 7, the first distribution module 610 comprising:

a first ordering sub-module 611 for performing a priority ordering on the unit search space based on the first parameter;

the first allocating submodule 612 reduces the number of channel estimates for the unit search space with low priority in order of priority until the sum of the number of channel estimates needed for all the search spaces is less than or equal to the maximum number of channel estimates.

Fig. 8 is a schematic structural diagram of a first distribution module according to another embodiment of the present invention. Alternatively, in some embodiments, the first distribution module 610 of the terminal device 600 may be as shown in fig. 8, the first distribution module 610 comprising:

a first determining submodule 613, configured to determine a scaling of each unit search space of the terminal device based on the first parameter;

the second allocating sub-module 614 allocates the number of channel estimates for each unit search space based on the scaling of each unit search space until the sum of the number of channel estimates for all search spaces is less than or equal to the maximum number of channel estimates.

Fig. 9 is a schematic structural diagram of a terminal device according to another embodiment of the present invention. Optionally, in some embodiments, the terminal device 600 may further include:

a second allocating module 620, for performing a second allocation on the channel estimation numbers corresponding to the target unit search space if the channel estimation number required by the target unit search space of the terminal device exceeds the first channel estimation number,

Further, the second allocating module 620 is specifically configured to:

wherein the second parameter comprises at least one of:

Fig. 10 is a schematic structural diagram of a second distribution module according to an embodiment of the present invention. Optionally, in some embodiments, the second allocating module 620 of the terminal device 600 may be as shown in fig. 10, where the second allocating module 620 includes:

a second sorting sub-module 621 configured to perform priority sorting on the PDCCH candidates in the target unit search space based on the second parameter;

the third sub-division module 622 discards PDCCH candidates with low priority until the number of channel estimates for the target unit search space is less than or equal to the first number of channel estimates.

Fig. 11 is a schematic structural diagram of a second distribution module according to another embodiment of the present invention. Optionally, in some embodiments, the second allocating module 620 of the terminal device 600 may be as shown in fig. 10, where the second allocating module 620 includes:

a dividing sub-module 623 configured to divide the PDCCH candidates of the target unit search space into a plurality of PDCCH candidate sets according to aggregation levels;

a second determining submodule 624, configured to determine a discarding order of PDCCH candidates in each PDCCH candidate set based on the CCE numbers of the control channel elements corresponding to the PDCCH candidates;

the fourth sub-module 625 discards PDCCH candidates in a discarding order from among the plurality of PDCCH candidate sets one by one in a polling manner for the plurality of PDCCH candidate sets until the number of channel estimates for the target unit search space is less than or equal to the first number of channel estimates.

Fig. 12 is a schematic structural diagram of a second distribution module according to still another embodiment of the present invention. Optionally, in some embodiments, the second allocating module 620 of the terminal device 600 may be as shown in fig. 10, where the second allocating module 620 includes:

a third determining sub-module 626 for determining the CCEs corresponding to the PDCCH candidate of each aggregation level in the target unit search space;

a classification submodule 627 configured to classify PDCCH candidates in each aggregation level in the target unit search space, where a CCE corresponding to a PDCCH candidate of a first type does not overlap with CCEs corresponding to other PDCCH candidates in a control resource set CORESET associated with the target unit search space, a PDCCH candidate of a second type shares a CCE with a PDCCH candidate of a lower aggregation level, and a PDCCH candidate of a third type shares a CCE with a PDCCH candidate of a higher aggregation level;

a fourth determining sub-module 628, configured to determine an equivalent channel estimation number of each PDCCH candidate in the target unit search space, and determine a number of channel estimation overbranching, where the number of channel estimation overbranching is equal to the number of channel estimation actually required by the target unit search space minus the first channel estimation number;

a fifth allocating module 629 for selecting a target PDCCH candidate from the first type or the second type PDCCH candidates of the target unit search space and discarding it;

an adjusting sub-module 630, which subtracts the equivalent channel estimation number corresponding to the target PDCCH candidate from the excess channel estimation number to obtain an adjusted excess channel estimation number;

the sixth allocating sub-module 631 loops the fourth determining sub-module, the fifth allocating sub-module and the adjusting sub-module to adjust the number of the channel estimation errors until the number of the channel estimation errors is less than or equal to zero.

Further, the fourth determining sub-module 628 is specifically configured to:

Optionally, the target unit search space comprises a search space; or, the target unit search space comprises a search space group, the search space group comprising a plurality of search spaces; alternatively, the target unit search space includes all search spaces associated with one CORESET.

The terminal device 600 may further execute the method executed by the terminal device or the UE in the embodiment shown in fig. 1 or fig. 4, and the specific implementation may refer to the embodiment shown in fig. 1 and fig. 4, which is not described herein again in the embodiment of the present invention.

Fig. 13 is a schematic diagram of a hardware structure of a terminal device for implementing various embodiments of the present invention. The terminal device 1300 includes but is not limited to: a radio frequency unit 1301, a network module 1302, an audio output unit 1303, an input unit 1304, a sensor 1305, a display unit 1306, a user input unit 1307, an interface unit 1308, a memory 1309, a processor 1310, a power supply 1311, and the like. Those skilled in the art will appreciate that the terminal device configuration shown in fig. 13 does not constitute a limitation of the terminal device, and that the terminal device may include more or fewer components than shown, or combine certain components, or a different arrangement of components. In the embodiment of the present invention, the terminal device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

Wherein, the processor 1310 is configured to:

if the sum of the channel estimation numbers required by all the search spaces of the UE exceeds the maximum channel estimation number supported by the UE, performing first distribution on the channel estimation numbers corresponding to the search spaces of the UE;

wherein the sum of the number of channel estimates required for all search spaces of the UE after the first allocation is less than or equal to the maximum number of channel estimates supported by the UE.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 1301 may be configured to receive and transmit signals during a message transmission or call process, and specifically, receive downlink data from a base station and then process the received downlink data to the processor 1310; in addition, the uplink data is transmitted to the base station. In general, radio unit 1301 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 1301 can also communicate with a network and other devices through a wireless communication system.

The terminal device provides wireless broadband internet access to the user through the network module 1302, such as helping the user send and receive e-mails, browse web pages, and access streaming media.

The audio output unit 1303 can convert audio data received by the radio frequency unit 1301 or the network module 1302 or stored in the memory 1309 into an audio signal and output as sound. Also, the audio output unit 1303 can also provide audio output related to a specific function performed by the terminal apparatus 1300 (e.g., a call signal reception sound, a message reception sound, and the like). The audio output unit 1303 includes a speaker, a buzzer, a receiver, and the like.

The input unit 1304 is used to receive audio or video signals. The input Unit 1304 may include a Graphics Processing Unit (GPU) 13041 and a microphone 13042, and the Graphics processor 13041 processes image data of still pictures or video obtained by an image capturing apparatus (such as a camera) in a video capture mode or an image capture mode. The processed image frames may be displayed on the display unit 1306. The image frames processed by the graphic processor 13041 may be stored in the memory 1309 (or other storage medium) or transmitted via the radio frequency unit 1301 or the network module 1302. The microphone 13042 can receive sounds and can process such sounds into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 1301 in case of a phone call mode.

Terminal device 1300 also includes at least one sensor 1305, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that adjusts the brightness of the display panel 13061 according to the brightness of ambient light, and a proximity sensor that turns off the display panel 13061 and/or backlight when the terminal device 1300 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the terminal device posture (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration identification related functions (such as pedometer, tapping), and the like; the sensors 1305 may also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be described in detail herein.

The display unit 1306 is used to display information input by a user or information provided to the user. The Display unit 1306 may include a Display panel 13061, and the Display panel 13061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 1307 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal device. Specifically, the user input unit 1307 includes a touch panel 13071 and other input devices 13072. Touch panel 13071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on touch panel 13071 or near touch panel 13071 using a finger, stylus, or any other suitable object or attachment). The touch panel 13071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 1310, and receives and executes commands sent from the processor 1310. In addition, the touch panel 13071 can be implemented by various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 1307 may include other input devices 13072 in addition to the touch panel 13071. In particular, the other input devices 13072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described herein again.

Further, the touch panel 13071 can be overlaid on the display panel 13061, and when the touch panel 13071 detects a touch operation on or near the touch panel, the touch operation can be transmitted to the processor 1310 to determine the type of the touch event, and then the processor 1310 can provide a corresponding visual output on the display panel 13061 according to the type of the touch event. Although in fig. 13, the touch panel 13071 and the display panel 13061 are two independent components to implement the input and output functions of the terminal device, in some embodiments, the touch panel 13071 and the display panel 13061 may be integrated to implement the input and output functions of the terminal device, and are not limited herein.

The interface unit 1308 is an interface for connecting an external device to the terminal apparatus 1300. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. Interface unit 1308 can be used to receive input from an external device (e.g., data information, power, etc.) and transmit the received input to one or more elements within terminal apparatus 1300 or can be used to transmit data between terminal apparatus 1300 and an external device.

The memory 1309 may be used to store software programs as well as various data. The memory 1309 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 1309 can include high-speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 1310 is a control center of the terminal device, connects various parts of the entire terminal device by using various interfaces and lines, and performs various functions of the terminal device and processes data by running or executing software programs and/or modules stored in the memory 1309 and calling data stored in the memory 1309, thereby performing overall monitoring of the terminal device. Processor 1310 may include one or more processing units; preferably, the processor 1310 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1310.

The terminal device 1300 may further include a power supply 1311 (e.g., a battery) for supplying power to the various components, and preferably, the power supply 1311 may be logically connected to the processor 1310 via a power management system, so that functions of managing charging, discharging, and power consumption are performed via the power management system.

In addition, the terminal device 1300 includes some functional modules that are not shown, and are not described herein again.

Preferably, an embodiment of the present invention further provides a terminal device, which includes a processor 1310, a memory 1309, and a computer program stored in the memory 1309 and capable of running on the processor 1310, where the computer program, when executed by the processor 1310, implements each process of the method embodiment in fig. 1 or fig. 4, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the method embodiment shown in fig. 1 or fig. 4, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A method for allocating search space channel estimates, comprising:

if the sum of the channel estimation numbers required by all the search spaces of the terminal equipment exceeds the maximum channel estimation number supported by the terminal equipment, performing first distribution on the channel estimation numbers corresponding to the search spaces of the terminal equipment;

after the first allocation, the sum of the channel estimation numbers required by all the search spaces of the terminal equipment is less than or equal to the maximum channel estimation number supported by the terminal equipment;

if the channel estimation number required by the target unit search space of the terminal equipment exceeds the first channel estimation number, carrying out second distribution on the channel estimation number corresponding to the target unit search space;

2. The method of claim 1, wherein first allocating channel estimates for a search space of a terminal device comprises:

wherein the first parameter comprises at least one of:

3. The method of claim 2,

performing first allocation on the channel estimation number corresponding to the search space of the terminal device based on the first parameter, including:

4. The method of claim 1,

determining the scaling of each unit search space of the terminal equipment based on the first parameter;

5. The method of any one of claims 1-4,

the unit search space includes one search space; or

The unit search space comprises a search space group, and the search space group comprises a plurality of search spaces; or

The unit search space includes all search spaces associated with one CORESET.

6. The method of claim 1,

performing second allocation on the channel estimation numbers corresponding to the target unit search space, including:

wherein the second parameter comprises at least one of:

7. The method of claim 6,

performing second allocation on the number of channel estimates corresponding to the target unit search space based on a second parameter, including:

and discarding the PDCCH candidates with low priority until the number of channel estimates of the target unit search space is less than or equal to the first number of channel estimates.

8. The method of claim 6,

dividing the PDCCH candidates of the target unit search space into a plurality of PDCCH candidate sets according to an aggregation level;

determining the discarding sequence of PDCCH candidates in each PDCCH candidate set based on the CCE numbers corresponding to the PDCCH candidates;

and discarding PDCCH candidates with a discarding order being the front in the plurality of PDCCH candidate sets one by one in a polling mode of the plurality of PDCCH candidate sets until the number of channel estimates of the target unit search space is less than or equal to the first number of channel estimates.

9. The method of claim 6,

and subtracting the equivalent channel estimation number corresponding to the target PDCCH candidate from the hyper-branch channel estimation number to serve as the adjusted hyper-branch channel estimation number.

10. The method of claim 9,

determining the number of equivalent channel estimates for each PDCCH candidate in the target unit search space, comprising:

determining an aggregation level of a first PDCCH candidate of a first type as an equivalent channel estimation number of the first PDCCH candidate;

11. The method of claim 1,

the target unit search space comprises a search space; or

The target unit search space comprises a search space group, and the search space group comprises a plurality of search spaces; or

The target unit search space comprises all search spaces related to one CORESET.

12. A terminal device is characterized by being applied to a terminal device and comprising:

a first allocation module, configured to perform first allocation on the channel estimation numbers corresponding to the search spaces of the terminal device if the sum of the channel estimation numbers required by all the search spaces of the terminal device exceeds the maximum channel estimation number supported by the terminal device;

after the terminal equipment performs the first allocation, the sum of the channel estimation numbers required by all the search spaces is less than or equal to the maximum channel estimation number supported by the terminal equipment;

a second allocation module, configured to perform second allocation on the channel estimation numbers corresponding to the target unit search space if the channel estimation number required by the target unit search space of the terminal device exceeds the first channel estimation number;

13. The terminal device of claim 12, wherein the first assignment module is specifically configured to:

wherein the first parameter comprises at least one of:

14. The terminal device of claim 13, wherein the first distribution module comprises:

the first sequencing submodule is used for carrying out priority sequencing on the unit search space based on the first parameter;

and the first distribution submodule reduces the channel estimation number of the unit search space with low priority according to the priority sequence until the sum of the channel estimation numbers required by all the search spaces is less than or equal to the maximum channel estimation number.

15. The terminal device of claim 12, wherein the first distribution module comprises:

the first determining submodule determines the scaling of each unit search space of the terminal equipment based on the first parameter;

and the second distribution sub-module distributes the channel estimation numbers of each unit search space based on the scaling of each unit search space until the sum of the channel estimation numbers of all the search spaces is less than or equal to the maximum channel estimation number.

16. The terminal device of any one of claims 12-15,

the unit search space includes one search space; or

The unit search space includes all search spaces associated with one CORESET.

17. The terminal device of claim 12, wherein the second allocating module is specifically configured to:

wherein the second parameter comprises at least one of:

18. The terminal device of claim 17,

the second allocating module includes:

a second sorting sub-module configured to perform priority sorting on the PDCCH candidates of the target unit search space based on the second parameter;

and the third sub-module discards PDCCH candidates with low priority until the number of channel estimates of the target unit search space is less than or equal to the first number of channel estimates.

19. The terminal device of claim 17, wherein the second allocating module comprises:

a dividing submodule for dividing the PDCCH candidates of the target unit search space into a plurality of PDCCH candidate sets according to the aggregation level;

the second determining submodule determines the discarding sequence of the PDCCH candidates in each PDCCH candidate set based on the CCE numbers of the control channel elements corresponding to the PDCCH candidates;

and the fourth sub-module discards PDCCH candidates with a discarding order being the front in the plurality of PDCCH candidate sets one by one in a polling mode of the plurality of PDCCH candidate sets until the number of channel estimates of the target unit search space is less than or equal to the first number of channel estimates.

20. The terminal device of claim 17, wherein the second allocating module comprises:

a third determining submodule for determining CCEs corresponding to PDCCH candidates of each aggregation level in the target unit search space;

a classification submodule for classifying the PDCCH candidates in each aggregation level in the target unit search space, wherein the CCE corresponding to the PDCCH candidate of the first type does not overlap with the CCE corresponding to other PDCCH candidates in a control resource set CORESET associated with the target unit search space, the PDCCH candidate of the second type shares the CCE with the PDCCH candidate of a lower aggregation level, and the PDCCH candidate of the third type shares the CCE with the PDCCH candidate of a higher aggregation level;

a fourth determining submodule, configured to determine an equivalent channel estimation number of each PDCCH candidate in the target unit search space, and determine an excess channel estimation number, where the excess channel estimation number is equal to the number of channel estimates actually required by the target unit search space minus the first channel estimation number;

a fifth allocating module which selects a target PDCCH candidate from the PDCCH candidates of the first type or the second type of the target unit search space and discards the target PDCCH candidate;

an adjusting submodule, which subtracts the equivalent channel estimation number corresponding to the target PDCCH candidate from the hyper-branch channel estimation number to be used as the adjusted hyper-branch channel estimation number;

and the sixth distribution submodule calls the fourth determination submodule, the fifth distribution submodule and the adjusting submodule in a circulating mode to adjust the number of the excess channel estimates until the number of the excess channel estimates is less than or equal to zero.

21. The terminal device of claim 20,

the fourth determination submodule is specifically configured to:

22. The terminal device of claim 12,

the target unit search space comprises a search space; or

23. A terminal device, comprising: memory, processor and computer program stored on the memory and executable on the processor, which computer program, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 11.

24. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 11.