CN114696962B

CN114696962B - Blind detection method, device, equipment and medium based on unknown RNTI

Info

Publication number: CN114696962B
Application number: CN202210618589.6A
Authority: CN
Inventors: 张海; 彭剑; 周建红
Original assignee: Nexwise Intelligence China Ltd
Current assignee: Nexwise Intelligence China Ltd
Priority date: 2022-06-02
Filing date: 2022-06-02
Publication date: 2022-08-09
Anticipated expiration: 2042-06-02
Also published as: CN114696962A

Abstract

The invention provides a blind detection method, a device, equipment and a medium based on unknown RNTI, belonging to the technical field of blind detection. The method comprises the following steps: extracting a Control Channel Element (CCE) space from an Orthogonal Frequency Division Multiplexing (OFDM) symbol in which a physical layer downlink control channel (PDCCH) included in a current subframe is located; determining a valid CCE group in a CCE space; determining a Radio Network Temporary Identifier (RNTI) of the effective CCE group based on the decoding information of the effective CCE group; and under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information. The blind detection method, device, equipment and medium based on the unknown RNTI are used for saving computing resources of terminal equipment.

Description

Blind detection method, device, equipment and medium based on unknown RNTI

Technical Field

The invention relates to the technical field of blind detection, in particular to a blind detection method, device, equipment and medium based on unknown RNTI.

Background

In Long Term Evolution (LTE) communication, a network device (e.g., a base station) may issue multiple Physical Downlink Control Channels (PDCCHs) in one subframe, where each PDCCH may carry one Downlink Control Information (DCI). A terminal device (e.g., an electronic device such as a mobile phone or a telephone watch) may find DCI carried by a PDCCH required by the terminal device in a whole Control Channel Element (CCE) space in one subframe, and perform parsing on the DCI to obtain an output result.

In the related art, a blind detection method of an unknown Radio Network Temporary Identity (RNTI) may be used to obtain an output result. The blind detection method (as shown in fig. 2) for unknown RNTI in the related art includes: traversing the CCE space based on all aggregation levels corresponding to the search space to obtain a plurality of CCE groups, determining decoding information and decoding measurement of each CCE group, calculating the RNTI corresponding to the decoding information under the condition that the decoding measurement is not less than a measurement threshold, determining an index to be verified of a first CCE in the CCE groups based on the RNTI, the subframe number of a current subframe, the total number of CCEs configured in the current subframe and a blind detection aggregation level corresponding to the CCE groups, and analyzing the decoding information under the condition that the real indexes of the first CCE to be verified are the same as the real indexes of the first CCE to obtain an analysis result.

In the related art, all traversed CCE groups are subjected to subsequent processing such as decoding, which wastes the computing resources of the terminal device.

Disclosure of Invention

The invention provides a blind detection method, a blind detection device, blind detection equipment and a blind detection medium based on unknown RNTI (radio network temporary identity), which are used for solving the problem of wasting computing resources of terminal equipment in the related technology.

The invention provides a blind detection method based on unknown RNTI, which comprises the following steps:

extracting a Control Channel Element (CCE) space from an Orthogonal Frequency Division Multiplexing (OFDM) symbol in which a physical layer downlink control channel (PDCCH) included in a current subframe is located;

determining a valid CCE group in a CCE space;

determining a Radio Network Temporary Identifier (RNTI) of the effective CCE group based on the decoding information of the effective CCE group;

and under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information.

According to the blind detection method based on the unknown RNTI, the effective CCE group is determined in the CCE space, and the method comprises the following steps:

acquiring a blind detection aggregation level;

determining at least one initial CCE group in the CCE space based on the blind detection aggregation level, wherein the total number of CCEs included in the initial CCE group is equal to the blind detection aggregation level;

for each initial CCE group in at least one initial CCE group, determining the power identifier of each CCE included in the initial CCE group; carrying out Viterbi decoding processing on the initial CCE group under the condition that the power identifiers of all CCEs are first preset identifiers to obtain group decoding measurement of the initial CCE; in the case where the coding metric of the initial CCE group is not less than the metric threshold, the initial CCE group is determined to be a valid CCE group.

According to the blind detection method based on the unknown RNTI, the power identification of each CCE in the initial CCE group is determined, and the method comprises the following steps:

determining the signal power of each CCE;

determining the average value of the signal power of each CCE as a power threshold corresponding to the initial CCE group;

determining the maximum power based on the signal power of the CCE of which the signal power is not less than the power threshold value in the initial CCE group;

determining the minimum power based on the signal power of the CCE of which the signal power is smaller than the power threshold value in the initial CCE group;

for each CCE, determining the power identifier of the CCE as a first preset identifier under the condition that the maximum power is greater than the product of the first weight and the minimum power and the signal power of the CCE is greater than the product of the second weight and the minimum power; otherwise, determining the power identifier of the CCE as a second preset identifier.

According to the blind detection method based on the unknown RNTI, provided by the invention, the signal power of each CCE is determined, and the method comprises the following steps:

determining, for each CCE, a signal power of each resource element RE included in the CCE; the average value of the signal power of each RE is determined as the signal power of the CCE.

According to the blind detection method based on the unknown RNTI, the method provided by the invention further comprises the following steps:

updating the blind detection aggregation level under the condition that the maximum power is not more than the product of the first weight and the minimum power or the signal power of the CCE is not more than the product of the second weight and the minimum power;

and based on the updated blind detection aggregation level, determining the effective CCE groups again in the rest CCEs in the CCE space except the CCEs included in the determined effective CCE groups.

According to the blind detection method based on the unknown RNTI, the method meeting the preset conditions comprises the following steps:

the RNTI is positioned in an RNTI range determined by the first upper layer parameters;

the format of the decoding information is the same as the DCI format determined by the second upper layer parameter;

the modulation mode of the decoded information is a quadrature phase shift keying QPSK modulation mode.

According to the blind detection method based on the unknown RNTI, provided by the invention, the blind detection aggregation level is obtained, and the method comprises the following steps:

acquiring a signal-to-noise ratio;

determining a blind detection aggregation level based on the signal-to-noise ratio, a target search space corresponding to the first upper layer parameter and a preset mapping relation; the preset mapping relationship comprises a plurality of signal-to-noise ratio ranges, a blind test aggregation level corresponding to each signal-to-noise ratio range and a common search space CSS, and a blind test aggregation level corresponding to each signal-to-noise ratio range and a user equipment specific search space USS.

The invention also provides a blind detection device based on the unknown RNTI, which comprises the following components:

an extraction module, configured to extract a control channel element CCE space from an orthogonal frequency division multiplexing OFDM symbol in which a physical layer downlink control channel PDCCH included in a current subframe is located;

a determining module for determining a valid CCE group in a CCE space;

the determining module is further used for determining the radio network temporary identifier RNTI of the effective CCE group based on the decoding information of the effective CCE group;

and the analysis module is used for analyzing the decoding information under the condition that the decoding information and the RNTI meet the preset conditions.

According to the blind detection device based on the unknown RNTI, the determination module is specifically used for:

acquiring a blind detection aggregation level;

for each initial CCE group in at least one initial CCE group, determining the power identifier of each CCE included in the initial CCE group; carrying out Viterbi decoding processing on the initial CCE group under the condition that the power identifiers of the CCEs are the first preset identifiers to obtain the decoding measurement of the initial CCE group; in the case where the coding metric of the initial CCE group is not less than the metric threshold, the initial CCE group is determined to be a valid CCE group.

determining the signal power of each CCE;

determining the maximum power based on the signal power of the CCE of which the signal power is not less than the power threshold in the initial CCE group;

According to the blind detection device based on the unknown RNTI, provided by the invention, the determination module is further used for:

According to the blind detection device based on the unknown RNTI, the condition that the preset conditions are met comprises the following steps:

acquiring a signal-to-noise ratio;

The invention also provides a terminal device, which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the processor realizes any one of the blind detection methods based on the unknown RNTI.

The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements any of the unknown RNTI based blind detection methods described above.

The present invention also provides a computer program product comprising a computer program which, when executed by a processor, implements any of the above blind detection methods based on unknown RNTI.

The invention provides a blind detection method, a device, equipment and a medium based on unknown RNTI, wherein the method comprises the following steps: extracting a Control Channel Element (CCE) space from an Orthogonal Frequency Division Multiplexing (OFDM) symbol in which a physical layer downlink control channel (PDCCH) included in a current subframe is located; determining a valid CCE group in a CCE space; determining a Radio Network Temporary Identifier (RNTI) of the effective CCE group based on the decoding information of the effective CCE group; and under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information. In the method, the effective CCE group is determined in the CCE space, the Radio Network Temporary Identifier (RNTI) of the effective CCE group is determined based on the decoding information of the effective CCE group, and the decoding information is analyzed under the condition that the decoding information and the RNTI meet the preset conditions, so that the follow-up processing such as Viterbi decoding on the invalid CCE group and the analysis processing on the wrong effective CCE group can be avoided, and the computing resources of the terminal equipment are saved.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

Fig. 1 is a diagram illustrating the relationship of the number of occurrences between CCEs, REGs and REs to which the present invention relates;

fig. 2 is a flowchart diagram corresponding to a blind detection method for an unknown RNTI in the related art;

fig. 3 is a schematic flow chart of a blind detection method based on an unknown RNTI according to the present invention;

fig. 4 is one of the flow diagrams for determining valid CCE groups in a CCE space according to the present invention;

fig. 5 is a schematic flow chart illustrating a process of determining power identifiers of CCEs included in an initial CCE group according to the present invention;

fig. 6 is a schematic diagram of a marked CCE provided by the present invention;

fig. 7 is a second schematic diagram of the process for determining valid CCE groups in a CCE space according to the present invention;

fig. 8 is a flowchart for determining valid CCE groups according to the present invention;

fig. 9 is a schematic structural diagram of a blind detection device based on an unknown RNTI provided in the present invention;

fig. 10 is a schematic physical structure diagram of a terminal device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but 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.

First, terms of art mentioned in the present application will be explained.

CCE refers to a minimum unit of transmission of a single PDCCH defined in Long Term Evolution (LTE). One CCE includes 9 Resource Element Groups (REGs). One REG includes 4 Resource Elements (REs).

RE is the minimum resource unit after LTE data (including control data and user data) is modulated. For DCI, the RE is a resource unit after modulating control data.

The search space includes information such as a starting Orthogonal Frequency Division Multiplexing (OFDM) symbol index of the encapsulated PDCCH in a time domain, a PDCCH monitoring period, and an associated core set (CORESET).

The Search Space has two types, namely Common Search Space (CSS) and user equipment Specific Search Space (USS).

Fig. 1 is a diagram illustrating the relationship of the number of CCEs, REGs, and REs according to the present invention. As shown in fig. 1, 1 CCE =9 REG, 1 REG =4 RE, so 1 CCE =9 REG =36 RE.

Fig. 2 is a flowchart of a blind detection method for an unknown RNTI in the related art. As shown in fig. 2, includes:

step S201, extracting CCE space from OFDM symbols where PDCCH included in the current subframe is located.

Step S202, the ith blind test aggregation level is obtained.

Step S203, based on the ith blind-detection aggregation level, at least one CCE group is acquired from the CCE space.

The total number of CCEs included in a CCE group is the same as the ith blind test aggregation level.

Step S204, aiming at each CCE group in at least one CCE group, carrying out Viterbi decoding (Viterbi) processing on the CCE group to obtain decoding information and decoding measurement.

In step S205, when the decoding metric is not less than the metric threshold, the RNTI corresponding to the decoding information is calculated.

Step S206, determining the to-be-verified index of the first CCE in the CCE group based on the RNTI, the subframe number of the current subframe, the total number of the CCEs configured in the current subframe and the blind test aggregation level corresponding to the CCE group.

Step S207, under the condition that the true index of the first CCE to be verified is the same as the true index of the first CCE, parsing the decoding information.

Step S208, the ith blind-detection aggregation level is updated to be the (i + 1) th blind-detection aggregation level, at least one CCE group is obtained again from other CCEs except the target CCE group in the CCE space based on the updated blind-detection aggregation level, and step S204 is executed aiming at the obtained at least one CCE group, wherein the target CCE group is the CCE group of which the detected decoding metric in the CCE space is not less than the metric threshold.

In the blind detection method for the unknown RNTI provided in fig. 2, the values of the blind detection aggregation levels are all the blind detection aggregation levels corresponding to the search space. For example, in case the search space is CSS, all blind aggregation levels comprise 8 and 4, and in case the search space is USS, all blind aggregation levels comprise 8, 4, 2 and 1.

It should be noted that, after the blind detection aggregation levels are taken as all the blind detection aggregation levels corresponding to the search space in steps S201 to S208, the blind detection process for the inside of the current subframe is considered to be finished.

As can be seen from steps S201 to S208 disclosed in fig. 2, for all the traversed CCE groups, viterbi decoding processing, RNTI reverse verification (including step S206), and parsing processing are required, which wastes computing resources of the terminal device and increases processing delay.

In the invention, in order to save the computing resources of the terminal equipment, the inventor thinks that an effective CCE group is determined in a CCE space, and the decoding information is analyzed under the condition that the decoding information and the RNTI of the effective CCE group meet the preset conditions, so that the decoding, RNTI calculation and analysis of an invalid CCE group are avoided, and the purpose of saving the computing resources of the terminal equipment is realized. In some designs, the valid CCE group is a CCE group including CCEs having a power identifier of a first preset identifier (e.g., 1) and a coding metric not less than a metric threshold.

The blind detection method based on unknown RNTI provided by the present invention is described below with reference to specific embodiments.

Fig. 3 is a schematic flow chart of a blind detection method based on an unknown RNTI provided in the present invention. As shown in fig. 3, the method includes:

step S301, extracting a CCE space from the OFDM symbol where the PDCCH included in the current subframe is located.

Optionally, an execution main body of the blind detection method based on the unknown RNTI provided by the present invention may be a terminal device, and may also be a blind detection device based on the unknown RNTI and arranged on the terminal device. Alternatively, the blind detection means based on unknown RNTI may be implemented by a combination of software and/or hardware.

The CCE space may comprise M CCEs, M being an integer greater than N. The specific value of M is determined by the bandwidth required for transmitting the current subframe and other parameters of the system, and the specific process for determining M is not described in detail herein.

In step S302, a valid CCE group is determined in a CCE space.

Alternatively, the number of valid CCE groups may be one or more.

The effective CCE groups are obtained based on the blind detection aggregation level. The total number of at least one CCE in the effective CCE group is equal to the blind detection aggregation level adopted by the effective CCE group.

For example, when the blind-detection aggregation level is 8, the effective CCE group includes 8 CCEs, when the blind-detection aggregation level is 4, the effective CCE group includes 4 CCEs, when the blind-detection aggregation level is 2, the effective CCE group includes 2 CCE blind-detection aggregation levels, and when the blind-detection aggregation level is 1, the effective CCE group includes 1 CCE blind-detection aggregation level.

Step S303, the RNTI of the effective CCE group is determined based on the decoding information of the effective CCE group.

In some embodiments, performing viterbi decoding processing on the effective CCE group to obtain decoding information of the effective CCE group;

the decoded information is subjected to CRC check processing using a known CRC16 sequence (CRC sequence specified by the PDCCH channel) to obtain a 16-bit (bit) CRC check value, and the 16-bit CRC check value is determined as the RNTI of the valid CCE group.

In the present invention, the decoding information is DCI.

In the present invention, when the number of active CCE groups is plural, step S303 and step S304 are performed for each active CCE group.

And step S304, under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information.

Specifically, the decoding information and the RNTI are filtered based on preset conditions, and the decoding information is analyzed under the condition that the decoding information and the RNTI meet the preset conditions.

In some embodiments, before filtering the coding information and the RNTI based on the preset condition, the method further includes:

determining an index to be verified of a first CCE in an effective CCE group based on the RNTI, the subframe number of the current subframe, the total number of CCEs configured in the current subframe and the blind test aggregation level corresponding to the effective CCE group;

under the condition that the index to be verified is the same as the real index of the first CCE, setting a preset detection zone bit as a first preset value;

and setting the preset detection zone bit as a second preset value under the condition that the index to be verified is different from the real index of the first CCE.

Further, under the condition that the detection flag bit is a first preset value, filtering processing is performed on the decoding information and the RNTI based on preset conditions.

It should be noted that the first preset value indicates that the RNTI is a valid RNTI value, and the second preset value indicates that the RNTI is an invalid RNTI value. The first preset value and the second preset value are different. For example, the first preset value is 1, and the second preset value is 0.

In other embodiments, the filtering the decoding information and the RNTI based on the preset condition includes:

under the condition that the index to be verified is the same as the real index of the first CCE, filtering the decoding information and the RNTI based on preset conditions

And under the condition that the index to be verified is different from the real index of the first CCE, setting a preset detection zone bit as a second preset value, and discarding the effective CCE group.

Optionally, the meeting of the preset condition includes:

the modulation scheme of the decoded information is the QPSK modulation scheme.

The first upper layer parameter is a search space selection parameter received by the terminal device.

Alternatively, the first upper layer parameter may be a USS selection parameter or a CSS selection parameter.

In the case where the first upper layer parameter is the USS selection parameter, the RNTI range determined by the first upper layer parameter includes 61 to 65533.

In the case where the first upper layer parameter is the CSS selection parameter, the RNTI range determined by the first upper layer parameter includes 1 to 60, 65534, and 65535.

The second upper layer parameter is a link configuration parameter received by the terminal device.

Alternatively, the second upper layer parameter may be a DownLink (DL) configuration parameter or an UpLink (UpLink, UL) configuration parameter.

And under the condition that the second upper layer parameter is the DL configuration parameter, the DCI format determined by the second upper layer parameter is a downlink DCI format.

When the second upper layer parameter is the UL configuration parameter, the DCI format determined by the second upper layer parameter is the uplink DCI format.

In some embodiments, for each valid CCE group, in a case that the decoding information and RNTI of the valid CCE group do not satisfy the preset condition, the valid CCE group (considered as an erroneous valid CCE group) is discarded without performing parsing, thereby saving the computing resources of the terminal device.

Optionally, the non-satisfaction of the preset condition includes:

the RNTI is not in the range of the RNTI determined by the first upper layer parameter;

the format of the decoding information is different from the DCI format determined by the second upper layer parameter;

the modulation scheme of the decoded information is not the QPSK modulation scheme.

For example, when the range of RNTI determined by the first upper layer parameter is 61 to 65533, if RNTI is 56, the decoding information and RNTI do not satisfy the preset condition.

For example, when the DCI format determined by the second upper layer parameter is a downlink DCI format, if the format of the decoding information is an uplink DCI format, the decoding information and the RNTI do not satisfy the preset condition.

For example, if the modulation scheme of the decoding information is a modulation scheme other than the QPSK modulation scheme, the decoding information and the RNTI do not satisfy the preset condition.

Furthermore, under the condition that the RNTI is a valid RNTI value, the decoding information and the RNTI are filtered based on preset conditions, so that the decoding information of wrong valid CCE groups is prevented from being analyzed, the accuracy of detecting the valid CCE groups is improved, and the computing resources of the terminal equipment are saved.

In the blind detection method based on unknown RNTI provided in the embodiment of fig. 3, the valid CCE group is determined in the CCE space, the RNTI of the valid CCE group is determined based on the decoding information of the valid CCE group, and then the decoding information is analyzed under the condition that the decoding information and the RNTI satisfy the preset condition, so that the subsequent processing such as decoding of the invalid CCE group can be avoided, the analysis processing of the valid CCE group in which the decoding information and the RNTI do not satisfy the preset condition is avoided, the calculation resource of the terminal device is saved, and the processing delay is reduced.

On the basis of the above-mentioned embodiment of fig. 3, the following describes the execution process of step S302 in detail with reference to fig. 4.

Fig. 4 is one of the flow diagrams for determining valid CCE groups in a CCE space according to the present invention. As shown in fig. 4, the method includes:

step S401, acquiring a blind detection aggregation level.

Optionally, the blind detection aggregation level may be determined based on a target search space corresponding to the first upper layer parameter.

For example, in the case where the first upper layer parameter is the USS selection parameter, if the target search space is the USS, the blind detection aggregation level may be 1, 2, 4, or 8.

For example, in the case that the first upper layer parameter is a CSS selection parameter, if the target search space is a CSS, the blind detection aggregation level may be 4 or 8.

Step S402, based on the blind detection aggregation level, at least one initial CCE group is determined in the CCE space, and the total number of CCEs included in the initial CCE group is equal to the blind detection aggregation level.

For example, when the target search space is a CSS and 20 CCEs are included in the CCE space, if the blind detection aggregation level is determined to be 8 based on the signal-to-noise ratio, 2 initial CCE groups (each including 8 CCEs) are determined in the CCE space based on 8.

Step S403, determining, for each initial CCE group in the at least one initial CCE group, a power identification of each CCE included in the initial CCE group.

Optionally, the power identifier of the CCE may be a first preset identifier or a second preset identifier. The first preset identification is different from the second preset identification. For example, the first preset flag is 1, and the second preset flag is 0.

Specifically, please refer to the embodiment in fig. 5 for a detailed description of determining the power identifier of each CCE included in the initial CCE group.

Step S404, under the condition that the power identifiers of the CCEs are the first preset identifiers, performing Viterbi decoding processing on the initial CCE group to obtain decoding information and decoding measurement of the initial CCE group.

Step S405, in the case that the decoding metric of the initial CCE group is not less than the metric threshold, determines the initial CCE group as an effective CCE group.

In the method for determining an effective CCE group in a CCE space provided in the embodiment of fig. 4, the initial CCE groups in which the power identifiers of each CCE in the CCE space are the first preset identifier and the decoding metric is not less than the metric threshold are determined as the effective CCE groups, and the effective CCE groups are screened out from the initial CCE groups based on the power and the decoding metric, so that subsequent processing such as decoding of an invalid CCE group (where the power identifier has the second preset identifier and/or the decoding metric is less than the metric threshold) is avoided, and the computing resources of the terminal device are saved.

On the basis of the above-mentioned embodiment of fig. 4, the following describes the execution process of step S403 in detail with reference to fig. 5.

Fig. 5 is a schematic flow chart illustrating a process of determining power identifiers of CCEs included in an initial CCE group according to the present invention. As shown in fig. 5, the method includes:

step S501 determines the signal power of each CCE included in the initial CCE group.

In some embodiments, for each CCE in the initial CCE group, determining a signal power of each RE included in the CCE; the average value of the signal power of each RE is determined as the signal power of the CCE.

Optionally, for each RE, the signal power of the RE is obtained by using the following formula 1:

pre = I + Q (formula 1);

where Pre represents the signal power of RE, I represents the in-phase component of RE, Q represents the quadrature component of RE, and x represents the multiplication.

Optionally, the signal power of the CCE is obtained by using the following formula 2:

pcce = sum (pre)/36 (equation 2);

where Pcce denotes the signal power of CCE, SUM denotes the summation operation, SUM (pre) denotes the SUM of the signal powers of REs included in CCE, 36 denotes the total number of REs included in CCE,/denotes the division operation.

Step S502 determines the average value of the signal power of each CCE as a power threshold value corresponding to the initial CCE group.

Alternatively, the power threshold corresponding to the initial CCE group may be obtained by using the following formula 3:

AVG _ P = sum (pcce)/N (formula 3);

wherein, AVG _ P represents a power threshold corresponding to the initial CCE group, sum (pcce) represents a sum of signal powers of CCEs included in the initial CCE group, and N represents a total number of CCEs included in the initial CCE group.

Step S503, based on the signal power of the CCE with the signal power not less than the power threshold in the initial CCE group, determining the maximum power.

Alternatively, the maximum power may be an average of signal powers of CCEs of which the signal power is not less than the power threshold value among the CCEs.

For example, when the initial CCE group includes 4 CCEs, and the 4 CCEs are CCE1, CCE2, CCE3, and CCE4, if the signal power of CCE1 and CCE3 is not less than the preset power threshold corresponding to the initial CCE group, the maximum power CCE _ HIGH = (P _ CCE1 + P _ CCE 3)/2 is obtained. Where P _ CCE1 is the CCE1 signal power and P _ CCE3 is the CCE3 signal power.

Step S504, based on the signal power of the CCE with the signal power smaller than the power threshold value in the initial CCE group, the minimum power is determined.

Alternatively, the minimum power may be an average of the signal powers of CCEs whose respective CCE signal powers are less than a power threshold.

For example, if the initial CCE group includes 4 CCEs, and the 4 CCEs are CCE1, CCE2, CCE3, and CCE4, the minimum power CCE _ LOW = (P _ CCE2 + P _ CCE 4)/2 is determined if the signal power of CCE2 and CCE4 is less than the preset power threshold corresponding to the initial CCE group. Where P _ CCE2 is the signal power of CCE2 and P _ CCE4 is the signal power of CCE 4.

Step S505, aiming at each CCE in the initial CCE group, under the condition that the maximum power is larger than the product of the first weight and the minimum power and the signal power of the CCE is larger than the product of the second weight and the minimum power, determining the power identifier of the CCE as a first preset identifier; otherwise, determining the power identifier of the CCE as a second preset identifier.

In the case that the maximum power and the product of the first weight and the minimum power satisfy the following formula 4, the signal power of the CCE with the power identification of the first preset identification satisfies the following formula 5:

CCE _ HIGH > C0 CCE _ LOW (formula 4);

pcce > C1 CCE _ LOW (formula 5);

wherein CCE _ HIGH is a maximum power corresponding to the initial CCE group, CCE _ LOW is a minimum power corresponding to the initial CCE group, Pcce is a signal power of CCEs in the initial CCE group, C0 is a predetermined first weight, and C1 is a predetermined second weight.

Wherein the first preset identifier is 1, and the second preset identifier is 0; or the first preset mark is 0 and the second preset mark is 1.

Wherein, the product of C0 and C1 is greater than a preset value (for example, 0.5), and C0 is not less than 1. For example, C0 may be 2 and C1 may be 1.

In case the maximum power and the product of the first weight and the minimum power do not satisfy CCE _ HIGH > C0 × CCE _ LOW, the initial CCE group is discarded.

Fig. 6 is a schematic diagram of a marked CCE provided by the present invention. As shown in fig. 6, when the initial CCE group includes 8 CCEs, if the maximum power and the minimum power corresponding to the initial CCE group satisfy CCE _ HIGH > C0 × CCE _ LOW, the signal power of each CCE from 0 th to 5 th CCEs satisfies Pcce > C1 × CCE _ LOW, and the signal power of each CCE from 6 th to 7 th CCEs does not satisfy Pcce > C1 × CCE _ LOW, then 0 th to 5 th CCEs are marked as 1, and 6 th to 7 th CCEs are marked as 0.

It should be noted that fig. 6 is exemplarily illustrated with the first preset flag being 1 and the second preset flag being 0.

On the basis of the above embodiments, the present invention also provides a method for determining valid CCEs in a CCE space, which is described below with reference to fig. 7.

Fig. 7 is a second flowchart for determining valid CCE groups in a CCE space according to the present invention. As shown in fig. 7, the method includes:

step S701, obtain a blind test aggregation level j (i).

Initially, i equals 1.

In some embodiments, initially, the blind aggregation level may be obtained by:

acquiring a signal-to-noise ratio; and determining the aggregation level of the blind detection based on the signal-to-noise ratio, the target search space corresponding to the first upper layer parameter and a preset mapping relation.

The Signal-to-Noise Ratio (SNR) is obtained by the terminal device measuring a Cell Reference Signal (CRS) in the current subframe.

The target search space may be a CSS or a USS.

The preset mapping relationship comprises a plurality of signal-to-noise ratio (SNR) ranges, a blind test aggregation level corresponding to each SNR range and the CSS, and a blind test aggregation level corresponding to each SNR range and the USS. For example, the preset mapping relationship is shown in table 1 below.

TABLE 1

Among them, S0, S1, S2, S3 and S4 are increasing SNRs, i.e., the larger the signal-to-noise ratio, the smaller the blind detection aggregation level.

In some embodiments, a target SNR range in which a signal-to-noise ratio is located is determined based on a preset mapping relation; and determining a target SNR range and a blind test aggregation level corresponding to a target search space based on a preset mapping relation.

For example, in the case where the target SNR range in which the signal-to-noise ratio is located is [ S2, S3), when the target search space is USS, the blind detection aggregation level is 2.

Step S702, assigning the blind test aggregation level J (1) to a preset variable Y.

Step S703 determines at least one initial CCE group in the CCE space based on Y.

The total number of CCEs included in the initial CCE group is equal to Y.

Step S704 determines the power id of each CCE included in the initial CCE group.

Step S705, determining whether the power identifiers of the CCEs are all the first preset identifiers.

If so, steps S706 to S708 are executed, otherwise step S709 is executed.

Step S706, performing Viterbi decoding processing on the initial CCE group to obtain the decoding metric of the initial CCE group.

In step S707, it is determined whether the decoding metric is not less than the metric threshold.

If so, go to step S708, otherwise go to step S709.

In step S708, the initial CCE group is determined to be a valid CCE group.

Step S709, in the case that the blind test aggregation level J (i + 1) is smaller than the blind test aggregation level i, assign the blind test aggregation level J (i + 1) to the preset variable Y.

Step S710 determines CCEs in the CCE space other than the CCEs included in the determined valid CCE group as remaining CCEs.

Step S711, determining at least one initial CCE group among the remaining CCEs based on Y, and repeatedly performing steps S706 to S710.

In the embodiment of fig. 7, the initial CCE group that satisfies the above formula 4 and formula 5 in the CCE space and has the decoding metric not less than the metric threshold is determined as the valid CCE group, so that the accuracy of obtaining the valid CCE group is improved, subsequent processing such as decoding on the invalid CCE group is avoided, and the calculation resources of the terminal device are saved.

In practical applications, the network device may transmit the PDCCH at a low aggregation level with a high probability in case of high SNR, and at a high aggregation level with a low SNR. Therefore, in the present invention, initially, a signal-to-noise ratio is obtained, a blind test aggregation level is determined based on the signal-to-noise ratio, a target search space corresponding to a first upper layer parameter, and a preset mapping relationship, and the above steps S702 to S711 are performed based on the initially obtained blind test aggregation level, so that the efficiency of determining an effective CCE can be improved, and further, the blind test efficiency on a CCE space can be improved.

Fig. 8 is a flowchart for determining valid CCE groups according to the present invention. On the basis of fig. 7, as shown in fig. 8, the CCE space includes, for example, 20 (i.e., M = 20) CCEs.

In the case where it is determined that the blind-detection aggregation level is equal to 8 (i.e., J (1)) based on the target search space (e.g., CSS), the signal-to-noise ratio, and the preset mapping relationship, 2 initial CCE groups, which are a 1 st initial CCE group (including 0 th to 7 th CCEs) and a 2 nd initial CCE group (8 th to 15 th CCEs), are acquired from the CCE space based on Y = J (1).

And under the condition that the power identifiers of the 0 th to 7 th CCEs are all the first preset identifiers and the decoding metric of the 1 st initial CCE group is greater than the metric threshold, determining the 1 st initial CCE group as an effective CCE group. And under the condition that the power identifications of 8 th to 15 th CCEs have second preset identifications and/or the decoding metric of the 2 nd initial CCE group is not greater than the metric threshold, the 2 nd initial CCE group is an invalid CCE group.

Further, the remaining CCEs (including 8 th to 19 th CCEs) are determined in the CCE space. Since for CSS there is a blind detection aggregation level of 4 (i.e., J (2)) less than the blind detection aggregation level of 8, 3 initial CCE groups are determined among the remaining CCEs based on Y = J (2), which are the 1 st initial CCE group (including 8 th to 11 th CCEs), the 2 nd initial CCE group (12 th to 15 th CCEs), and the 2 nd initial CCE group (16 th to 19 th CCEs), respectively.

And under the condition that the power identifications of the 8 th to 11 th CCEs are all the first preset identifications and the decoding metric of the 1 st initial CCE group is greater than the metric threshold, determining the 1 st initial CCE group as an effective CCE group. And under the condition that the power identifications of the 12 th to 15 th CCEs are all the first preset identifications and the decoding metric of the 2 nd initial CCE group is greater than the metric threshold, determining the 2 nd initial CCE group as an effective CCE group. And under the condition that the power identifications of the 16 th to 19 th CCEs have a second preset identification and/or the decoding metric of the 3 rd initial CCE group is not greater than the metric threshold, the 3 rd initial CCE group is an invalid CCE group.

Fig. 9 is a schematic structural diagram of a blind detection device based on an unknown RNTI provided in the present invention. As shown in fig. 9, the blind detection apparatus based on unknown RNTI includes:

an extracting module 110, configured to extract a control channel element CCE space from an orthogonal frequency division multiplexing OFDM symbol in which a physical layer downlink control channel PDCCH included in a current subframe is located;

a determining module 120 for determining valid CCE groups in a CCE space;

a determining module 120, configured to determine a radio network temporary identifier RNTI of the effective CCE group based on the coding information of the effective CCE group;

the parsing module 130 is configured to parse the decoding information when the decoding information and the RNTI satisfy a preset condition.

The blind detection device based on the unknown RNTI has the same beneficial effects as the blind detection method based on the unknown RNTI, and the description is omitted here.

According to the blind detection apparatus based on unknown RNTI provided by the present invention, the determining module 120 is specifically configured to:

acquiring a blind detection aggregation level;

determining the signal power of each CCE;

for each CCE in the initial CCE group, determining the power identifier of the CCE as a first preset identifier under the condition that the maximum power is larger than the product of the first weight and the minimum power and the signal power of the CCE is larger than the product of the second weight and the minimum power; otherwise, determining the power identifier of the CCE as a second preset identifier.

determining the signal power of each resource element RE included in the CCE aiming at each CCE in the initial CCE group; the average value of the signal power of each RE is determined as the signal power of the CCE.

According to the blind detection apparatus based on unknown RNTI provided by the present invention, the determining module 120 is further configured to:

acquiring a signal-to-noise ratio;

Fig. 10 is a schematic physical structure diagram of a terminal device provided in the present invention. As shown in fig. 10, the terminal device may include: a processor (processor)210, a communication Interface (communication Interface)220, a memory (memory)230 and a communication bus 240, wherein the processor 210, the communication Interface 220 and the memory 230 are communicated with each other via the communication bus 240. The processor 210 may call logic instructions in the memory 230 to perform a blind detection method based on an unknown RNTI, the method comprising: extracting a Control Channel Element (CCE) space from an Orthogonal Frequency Division Multiplexing (OFDM) symbol in which a physical layer downlink control channel (PDCCH) included in a current subframe is located; determining a valid CCE group in a CCE space; determining a Radio Network Temporary Identifier (RNTI) of the effective CCE group based on the decoding information of the effective CCE group; and under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information.

In addition, the logic instructions in the memory 230 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.

In another aspect, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, when the computer program is executed by a processor, the computer can execute the unknown RNTI based blind detection method provided by the above methods, the method includes: extracting a Control Channel Element (CCE) space from an Orthogonal Frequency Division Multiplexing (OFDM) symbol in which a physical layer downlink control channel (PDCCH) included in a current subframe is located; determining a valid CCE group in a CCE space; determining a Radio Network Temporary Identifier (RNTI) of the effective CCE group based on the decoding information of the effective CCE group; and under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements the unknown RNTI based blind detection method provided by the above methods, the method comprising: extracting a Control Channel Element (CCE) space from an Orthogonal Frequency Division Multiplexing (OFDM) symbol in which a physical layer downlink control channel (PDCCH) included in a current subframe is located; determining a valid CCE group in a CCE space; determining a Radio Network Temporary Identifier (RNTI) of the effective CCE group based on the decoding information of the effective CCE group; and under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A blind detection method based on unknown RNTI is characterized by comprising the following steps:

determining a valid CCE group in said CCE space;

under the condition that the decoding information and the RNTI meet preset conditions, analyzing the decoding information;

said determining valid CCE groups in said CCE space comprises:

acquiring a blind detection aggregation level;

determining at least one initial CCE group in the CCE space based on the blind detection aggregation level, the total number of CCEs included in the initial CCE group being equal to the blind detection aggregation level;

for each initial CCE group in the at least one initial CCE group, determining the power identifier of each CCE included in the initial CCE group; performing Viterbi decoding processing on the initial CCE group under the condition that the power identifiers of the CCEs are first preset identifiers to obtain the decoding measurement of the initial CCE group; determining the initial CCE group as the valid CCE group if the coding metric of the initial CCE group is not less than a metric threshold;

determining a power identifier of each CCE included in the initial CCE group, the determining including:

determining the signal power of each CCE;

determining a minimum power based on the signal power of the CCE in the initial CCE group whose signal power is less than the power threshold;

for each CCE, determining the power identifier of the CCE as the first preset identifier under the condition that the maximum power is larger than the product of a first weight and the minimum power and the signal power of the CCE is larger than the product of a second weight and the minimum power; otherwise, determining the power identifier of the CCE as a second preset identifier.

2. The blind unknown-RNTI-based detection method as claimed in claim 1, wherein the determining the signal power of each CCE comprises:

determining, for each CCE, a signal power of each resource element, RE, included in the CCE; and determining the average value of the signal power of each RE as the signal power of the CCE.

3. The blind unknown RNTI-based detection method as set forth in claim 2, further comprising:

updating the blind detection aggregation level in case that the maximum power is not greater than a product of a first weight and the minimum power or a signal power of the CCE is not greater than a product of a second weight and the minimum power;

and determining the effective CCE groups again in the rest CCEs in the CCE space except the CCEs included in the determined effective CCE groups based on the updated blind detection aggregation level.

4. The unknown RNTI-based blind detection method according to any one of claims 1 to 3, wherein the meeting of the preset condition comprises:

the RNTI is positioned in an RNTI range determined by first upper layer parameters;

the modulation mode of the decoding information is a quadrature phase shift keying QPSK modulation mode.

5. The unknown RNTI-based blind detection method according to any one of claims 2 to 3, wherein the obtaining the blind detection aggregation level comprises:

acquiring a signal-to-noise ratio;

determining the blind detection aggregation level based on the signal-to-noise ratio, a target search space corresponding to the first upper layer parameter and a preset mapping relation; the preset mapping relationship comprises a plurality of signal-to-noise ratio ranges, a blind test aggregation level corresponding to each signal-to-noise ratio range and a common search space CSS, and a blind test aggregation level corresponding to each signal-to-noise ratio range and a user equipment specific search space USS.

6. A blind detection device based on unknown RNTI, which is characterized by comprising:

a determining module for determining valid CCE groups in said CCE space;

a determining module, configured to determine a radio network temporary identifier RNTI of the valid CCE group based on the decoding information of the valid CCE group;

the analysis module is used for analyzing the decoding information under the condition that the decoding information and the RNTI meet preset conditions;

the determining module is specifically configured to:

acquiring a blind detection aggregation level;

the determining module is specifically configured to:

determining the signal power of each CCE;

7. A terminal device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the unknown RNTI based blind detection method according to any one of claims 1 to 5.

8. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the unknown RNTI based blind detection method according to any one of claims 1 to 5.