CN110012494B - A method for detecting the state of user equipment and related equipment - Google Patents

Abstract

Embodiments of the present application provide a method for detecting a state of a user equipment and related devices, which are used to detect whether a UE is an AU in a scheduling-free scenario, thereby improving the efficiency and accuracy of detecting an AU. The method includes: a receiving device receives user data sent by a user equipment, where the user data includes pilot data; the receiving device obtains a second potential user equipment list from a first potential user equipment list according to the pilot data; the receiving device obtains a second potential user equipment list according to the pilot data; The pilot data obtains channel information of each user equipment in the second potential user equipment list, where the channel information includes a channel fading coefficient vector of each user equipment; the receiving device calculates and obtains the each user equipment according to the channel information The feature value of each user equipment; the receiving device determines the active user equipment AU in each user equipment according to the feature value of each user equipment, so as to obtain an AU list.

Description

A method for detecting the state of user equipment and related equipment

technical field

The present application relates to the field of communications, and in particular, to a method for user equipment status detection and related equipment.

Background technique

With the development of communication technology, in the fifth generation (5G) communication system, a scheduling-free transmission mechanism is supported, that is, user equipment (UE) is allowed to directly transmit data without applying for scheduling to the attached receiving device. . A receiving device can access multiple UEs, so there may be multiple UEs sending data to the receiving device at the same time, so the receiving device needs to distinguish between active user equipment (Active UE, AU) and inactive user equipment (Inactive UE, IAU) , the AU is the UE that currently sends data, and the IAU is the UE that is not currently sending data.

In the existing solution, the receiving device includes an active UE detector (AUD) module, a channel estimator (CE) module, and a joint data and active codebook detection (JMPA) module. After a UE sends user data, the data may include sparse code division multiple access (Sparse Code Multiple Access, SCMA) data and pilot data. After the AUD module receives the pilot data, it filters out the second potential UE list from the first potential UE list. Each UE in the second potential UE list is regarded as a potential AU by the AUD module. The CE module uses the pilot data according to the pilot data. Calculate the channel fading coefficient vector of each UE in the second potential UE list. The IAU can be regarded as a UE that has sent a zero codeword, that is, a codeword whose symbol data is all 0. Then, the JMPA module calculates the probability that each UE sends data with zero code word according to the channel fading coefficient vector and SCMA code data. The UE with the zero code word probability higher than the threshold is judged as IAU, otherwise it is AU, and then the sent data is processed. Decoding obtains the decoding result.

In the existing scheme, the AU and IAU are distinguished by calculating the probability of each UE sending a zero codeword. The IAU is regarded as sending data with a zero codeword to the receiving device, while the data sent by the AU is a non-zero codeword, so the IAU sends The signal-to-noise ratio of the data is much lower than the signal-to-noise ratio of the data sent by the AU, so the probability that the data sent by the IAU will be decoded correctly may be reduced, and the probability of the IAU being judged as a zero code word may be reduced, and some IAUs will be judged. AU, resulting in inaccurate division of AU and IAU.

SUMMARY OF THE INVENTION

Embodiments of the present application provide a method for detecting a state of a user equipment and related devices, which are used to detect whether a UE is an AU in a scheduling-free scenario, thereby improving the efficiency and accuracy of detecting an AU.

In view of this, a first aspect of the present application provides a method for user equipment status detection, which may include:

The receiving device receives user data sent by the UE, where the user data includes pilot data; the receiving device filters out the second potential UE list from the first potential UE list according to the pilot data; the receiving device obtains the second potential UE list according to the pilot data Channel information of each UE in the second potential UE list, the channel information may include a channel fading coefficient vector of each UE; the receiving device calculates and obtains the characteristic value of each UE according to the channel information; the receiving device obtains the characteristic value of each UE according to the channel information The eigenvalues of each UE determine the AUs in each UE to obtain an AU list including the AUs in each UE.

In the embodiment of the present application, after receiving the user data sent by the UE, the receiving device obtains pilot data in the user data, filters out the second potential UE list from the first potential UE list according to the pilot data, and then selects the second potential UE list according to the pilot data. frequency data to obtain the channel information of each UE in the second potential UE list, the channel information includes a channel fading coefficient vector, and then obtain the eigenvalue of each UE according to the channel fading coefficient vector, and identify each UE according to the eigenvalue. AU, get a list of AUs. There is no need to distinguish AUs according to the probability of zero code words sent by the UE, which reduces the influence of the signal-to-noise ratio on the AU determination by the receiving device, and improves the accuracy of the UE determination by the receiving device. At the same time, calculating the eigenvalues of each UE through the channel fading coefficient vector of each UE can more accurately reflect the channel capability of each UE, especially in the scenario of frequency selection channel, the channel fading coefficient vector can reflect the The channel conditions on each subcarrier can therefore more accurately reflect the channel characteristics experienced by the UE, and further improve the accuracy of the AU distinction of the receiving device.

With reference to the first aspect of the present application, in the first implementation manner of the first aspect of the present application, the receiving device determines the AUs in the second potential UE list according to the characteristic value of each UE, so as to obtain the AU list, which may include:

The receiving device compares the eigenvalue of each UE with a preset eigenvalue threshold to obtain a comparison result, and the preset eigenvalue threshold may be calculated by the receiving device according to the current previously determined AU; The comparison result divides each UE into AU and IAU; the receiving device obtains the AU list according to the AU.

In the embodiment of the present application, the eigenvalue of each UE calculated by the receiving device is compared with the preset eigenvalue threshold to obtain a comparison result, and then the AU and IAU in the second potential UE list are distinguished according to the comparison result. A specific method for distinguishing AUs is provided.

With reference to the first embodiment of the first aspect of the present application, in the second embodiment of the first aspect of the present application, the receiving device divides each UE into an AU and an IAU according to the comparison result, which may include:

If the eigenvalue of the UE is not lower than the preset eigenvalue threshold, the receiving device determines that the UE is an AU; if the eigenvalue of the UE is lower than the preset eigenvalue threshold, the receiving device determines that the UE is an AU for IAU.

In this embodiment of the present application, the preset eigenvalue threshold may be calculated by the receiving device according to the determined AU, and if the eigenvalue of the UE is not less than the preset eigenvalue threshold, the UE may be determined as an AU, If the eigenvalue of the UE is smaller than the preset eigenvalue threshold, the UE can be determined as an IAU. In practical applications, the IAU can be regarded as having experienced infinite channel fading, and the calculated eigenvalue is also smaller than the preset eigenvalue. threshold.

In combination with the first aspect of the present application, any one of the first embodiment of the first aspect of the present application to the second embodiment of the first aspect of the present application, the third embodiment of the first aspect of the present application , the receiving device calculates and obtains the characteristic value of each UE according to the channel information, which may include:

The receiving device calculates and obtains the eigenvalue of each UE according to the channel fading coefficient vector and the monotonic positive correlation function.

In the embodiment of the present application, the receiving device calculates the channel fading coefficient by using the monotonic positive correlation function to obtain the eigenvalue of each UE, and then determines the AU in each UE according to the eigenvalue of each UE, without sending Whether the content of the data is zero codeword to determine whether the UE is an AU, the channel fading coefficient vector can better reflect the channel capability of each UE, especially when it comes to frequency selection channels, the channel fading coefficient vector can better reflect the channel capability of each UE, The accuracy of the AU determination by the receiving device can be improved.

In combination with the first aspect of the present application, any one of the first embodiment of the first aspect of the present application to the third embodiment of the first aspect of the present application, the fourth embodiment of the first aspect of the present application , the user data further includes sparse code division multiple access SCMA code data, and the receiving device determines the AU in each UE according to the characteristic value of each UE to obtain the AU list, the method may also include:

The receiving device decodes the SCMA code data through MPA and the AUs in the AU list to obtain a decoding result.

In the embodiment of the present application, the user data further includes SCMA code data, and the SCMA code data is composed of one or more SCMA codebooks. After the AU is determined, the SCMA code data is decoded by the MPA decoding algorithm to obtain The decoding result is used to complete the receiving and decoding of the user data.

A second aspect of the present application provides a receiving device, which may include:

a receiving module, configured to receive user data sent by the UE, where the user data includes pilot data;

The AUD module is used to obtain the second potential UE list from the first potential UE list according to the pilot data;

The CE module obtains channel information of each UE in the second potential UE list according to the pilot data, where the channel information includes a channel fading coefficient vector of each UE;

a fading channel analysis and active codebook detection (Fading channel analysis and Active codebook detection, FA) module, configured to calculate and obtain the characteristic value of each UE according to the channel information;

The FA module is further configured to determine the AU in each UE according to the characteristic value of each UE, so as to obtain the AU list.

Optionally, in some possible designs,

The FA module is also used to compare the eigenvalue of each UE with a preset eigenvalue threshold to obtain a comparison result;

The FA module is also used to divide each UE into an AU and an IAU according to the comparison result;

The FA module is further configured to obtain the AU list according to the AU.

Optionally, in some possible designs,

The FA module, if the eigenvalue of the UE is not lower than the preset eigenvalue threshold, is also used to determine that the UE is an AU;

The FA module is further configured to determine that the UE is an IAU if the feature value of the UE is lower than the preset feature value threshold.

Optionally, in some possible designs,

The FA module is further configured to calculate and obtain the eigenvalue of each UE according to the channel fading coefficient vector and the monotonic positive correlation function.

Optionally, in some possible designs,

The user data also includes sparse code division multiple access SCMA code data, and the receiving device further includes:

A message passing algorithm (message passing algorithm, MPA) decoding module is used for decoding the SCMA code data through the MPA algorithm and the AUs in the AU list to obtain a decoding result.

A third aspect of the embodiments of the present application provides a receiving device, which may include:

a processor and a memory, the processor being connected to the memory;

the memory for storing program codes;

When the processor invokes the program code in the memory, the processor executes the steps performed by the receiving device provided in the first aspect of the present application or any implementation manner of the first aspect.

A fourth aspect of the embodiments of the present application provides a storage medium. It should be noted that the technical solution of the present invention is essentially or a part that contributes to the prior art, or all or part of the technical solution can be produced in software. In the form of embodiment, the computer software product is stored in a storage medium for storing computer software instructions for the above-mentioned device, which includes a program for executing the above-mentioned first aspect designed for the receiving device.

The storage medium includes: U disk, mobile hard disk, read-only memory (English abbreviation ROM, English full name: Read-Only Memory), random access memory (English abbreviation: RAM, English full name: Random Access Memory), magnetic disk or CD, etc. Various media that can store program code.

A fifth aspect of the embodiments of the present application provides a computer program product including instructions, which, when run on a computer, causes the computer to execute the method described in the first aspect of the present application or any optional implementation manner of the first aspect.

As can be seen from the above technical solutions, the embodiments of the present application have the following advantages:

After receiving the user data sent by the UE, the receiving device may obtain pilot data from the user data, and then filter out a second potential UE list from the first potential UE list according to the pilot data, and then select a second potential UE list according to the second potential UE list. And the pilot data calculates the channel information of each UE in the second potential UE list, the channel information includes the channel fading coefficient vector of each UE in the second potential UE list, and then the receiving device can calculate the characteristics of each UE value, and then the receiving device determines the AU in the second potential UE list according to the characteristic value of each UE, and obtains the AU list. In this embodiment of the present application, the AU is determined by calculating the characteristic value of each UE in the second potential UE list. Under the same conditions, the characteristic value of the AU may be higher than the IAU, so the characteristic value of the UE can be determined. Whether the UE is an AU to get the AU list. The embodiment of the present application can directly use the feature value to reflect the characteristics of the data sent by the UE, so the influence of the signal-to-noise ratio on the AU determination by the receiving device can be reduced, the accuracy of the AU determination by the receiving device can be improved, and the inaccurate division of the AU and IAU by the receiving device can be reduced. In this case, the probability that the IAU is determined to be an AU, that is, a false alarm, and the probability that an AU is determined to be an IAU, that is, a missed detection, is reduced.

Description of drawings

1 is a system architecture diagram in an embodiment of the application;

FIG. 2 is a schematic diagram of an embodiment of a detection method for user equipment in an embodiment of the present application;

FIG. 3 is a schematic diagram of another embodiment of a detection method for user equipment in an embodiment of the present application;

FIG. 4 is a schematic diagram of another embodiment of a detection method for user equipment in an embodiment of the present application;

FIG. 5 is a schematic diagram of another embodiment of a detection method for user equipment in an embodiment of the present application;

FIG. 6 is a schematic diagram of an embodiment of a receiving device in an embodiment of the present application;

FIG. 7 is a schematic diagram of another embodiment of a receiving device in an embodiment of the present application.

Detailed ways

Embodiments of the present application provide a method for user equipment status detection and related devices, which are used to detect AUs by calculation in a scheduling-free scenario, thereby improving the accuracy of detecting AUs.

With the development of communication technology, in Long Term Evolution (Long Term Evolution, LTE for short), dynamic scheduling and semi-persistent scheduling are included. During data transmission, the dynamic scheduling mechanism has the characteristics of high data header overhead and high delay, while semi-static scheduling can reduce the data header overhead, but semi-static scheduling is more suitable for periodic communication, for example, VoIP ( voice over internet protocol, VoIP). In aperiodic communication, semi-persistent scheduling cannot effectively support UE access and data transmission. Therefore, in the fifth generation (5G) communication system, a scheduling-free transmission mechanism is also supported. In a scheduling-free scenario, the UE is allowed to directly perform data transmission without applying for scheduling to the attached receiving device. However, in the scheduling-free scenario, there are multiple UEs sending data to the receiving device at the same time. Therefore, the receiving device cannot directly determine the sending UE, but also needs to detect the current AU, and decode the received data after determining the AU. get the decoding result. For example, the receiving device may be a base station, and the base station is connected to multiple UEs. The multiple UEs may directly send user data to the base station without applying for scheduling to the base station. After receiving the user data sent by the user equipment, the base station needs to detect the current AU, and then decode the received user data.

When the receiving device is a base station, the system architecture of the solution application provided by the embodiment of the present application is shown in FIG. 1 , which is mainly composed of user equipment, a base station, and a core network. The receiving device in the embodiment of the present application is a base station, and multiple base stations There can be an Xn interface connection between them and access to the core network. The user equipment can access the base station through a wireless connection, and establish a connection with the core network through the base station. For example, UE1 accesses base station 1, and an Xn interface connection is established between base station 1, base station 2, and base station 3, UE2 accesses base station 3, and UE1 and The UE2 can establish a connection with the core network through the base station 1 and the base station 3, and perform communication and data transmission. The solutions provided by the embodiments of the present application may be applicable to LTE systems, or other wireless communication systems using scheduling-free scenarios, including fifth-generation 5G new radio access network (new radio, NR) systems.

In the scheduling-free scenario under the system architecture, the UE may directly perform data transmission with the base station without applying for scheduling to the base station. When the UE receives a request and needs to send data to the base station, or the UE needs to actively send data to the base station, it can directly send user data to the base station, that is, send user data to the receiving device. Before the UE sends data to the receiving device, it first selects a set of codebooks and pilot sequences from the codebook pool and pilot pool. The codebook corresponds to the pilot sequence. The receiving device knows or presets the codebook pool and the pilot sequence. The pilot frequency pool, and the corresponding relationship between the codebook and the pilot frequency sequence is known to the receiving device. The UE can complete the modulation of the user data and send the user data to the receiving device according to the transmission process of the SCMA code data.

It should be noted that the receiving device can be not only a base station, but also other network nodes that support scheduling-free scenarios, such as wireless terminal equipment (Customer Premise Equipment, CPE), routers, etc., which are not specifically limited here.

After receiving the user data sent by the UE, the receiving device first obtains the second potential UE list from the first potential UE list according to the pilot data in the user data, and stores the screened AUs in the second potential UE list, The first potential UE list is all UEs preset on the receiving device that access the receiving device. Then, the channel fading coefficient vector of each UE in the second potential UE list is calculated based on the pilot data, and then the second potential UE list is continuously screened by the channel fading coefficient to obtain the AU list. The specific screening method can be: The fading coefficient vector calculates the eigenvalue of each UE in the second potential UE list, and then distinguishes whether the corresponding UE is an AU according to the eigenvalue.

The following describes the method flow of the user equipment state detection provided in the embodiment of the present application. Please refer to FIG. 2 , which is a schematic diagram of an embodiment of the user equipment state detection method in the embodiment of the present application, including:

201. The receiving device receives the pilot data sent by the user equipment;

The receiving device receives user data sent by the UE, including pilot data and SCMA code data. The user data may be sent by one UE or simultaneously sent by multiple UEs, which is not specifically limited here. The pilot data is a pilot signal, including a pilot sequence. The SCMA code data is obtained by the UE after modulation, and may be composed of one or more SCMA codebooks.

The process for the UE to send user data may be as follows: both the UE and the receiving device are preset with a codebook pool and a pilot pool, and the codebook pool stores the SCMA codebook that can be transmitted between the UE and the receiving device, and the pilot sequence and SCMA The codebook correspondence may be that one pilot sequence corresponds to one codebook. The UE selects the SCMA codebook and the pilot sequence from the codebook pool and from the pilot pool, and the way of selecting the SCMA codebook and the pilot sequence may be randomly selected. The SCMA codebook is then modulated and sent to the receiving device.

202. The receiving device acquires a second potential user equipment list from the first potential user equipment list according to the pilot data;

After receiving the user data sent by the UE, the receiving device obtains pilot data from the user data, and obtains a second potential UE list from the first potential UE list according to the pilot data, where the first potential UE list is the receiving device The UE list preset in the first potential UE list may include all access devices on the receiving device, and the second potential list is a list determined as an AU after being screened by the receiving device according to the pilot signal. A specific screening method may be that the receiving device is screened by a preset formula.

203. The receiving device acquires the channel information of each user equipment in the second potential user equipment list according to the pilot data;

The receiving device acquires channel information of each UE in the second potential UE list according to the received pilot data, including a channel fading coefficient vector corresponding to each UE. In a practical application scenario, since the IAU has no data to transmit, it can be regarded as a channel where the IAU has experienced infinite fading. The channel information may also include channel capacity or other channel capability information of a channel corresponding to each UE, which is not specifically limited here.

204. The receiving device calculates and obtains the characteristic value of each user equipment according to the channel information;

After calculating the channel information of each UE in the second potential UE list, the receiving device calculates the eigenvalue of each UE according to the channel information, and the eigenvalue may be the channel fading coefficient corresponding to each UE by the receiving device according to the channel information. The vector and the monotonic positive correlation function are calculated. Whether the UE has sent user data, that is, whether it is an AU, can be identified according to the size of the eigenvalue. In practical applications, the eigenvalue of the AU is usually larger than the eigenvalue of the IAU, so it can be identified by the size of the eigenvalue. Whether the UE is an AU .

205. The receiving device determines the active user equipment AUs in each user equipment according to the characteristic value of each user equipment, so as to obtain an AU list.

After calculating the characteristic value of each UE, the receiving device can determine whether the UE is an AU according to the characteristic value of the UE, and can obtain the AU list after determining all the AUs in the second potential UE list. Specifically, the process of determining whether the UE is an AU according to the eigenvalue of the UE may be that there is a preset eigenvalue threshold on the receiving device, and the preset eigenvalue threshold may be calculated by the receiving device according to the determined AU. The receiving device determines whether the eigenvalue of the UE is not less than a preset eigenvalue threshold, and if so, determines that the UE is an AU, and if not, determines that the UE is an IAU.

In addition, after the receiving device determines the AU, it can determine that the user data is sent by the AU, and can decode the SCMA code data in the user data according to the AU, obtain a decoding result, and complete the reception of the user data.

In the embodiment of the present application, after receiving the user data sent by the UE, the receiving device obtains pilot data in the user data, and the receiving device filters out the second potential UE list from the first potential UE list according to the pilot data, Then, calculate the channel fading coefficient vector corresponding to each UE in the second potential UE list according to the pilot data, and then calculate the eigenvalue of each UE in the second potential UE list according to the channel fading vector, and judge according to the eigenvalue. Whether the UE is an AU, then get the AU list. Therefore, in the embodiment of the present application, the feature value is used to determine whether the UE is an AU, and a method for judging whether the UE is an AU is added. The influence of the signal-to-noise ratio is reduced, and the accuracy of determining that the UE is an AU is improved.

The foregoing describes the method for detecting the state of user equipment in the embodiment of the present application, and the following is an example of a practical application. Specifically, please refer to FIG.

The receiving device may include an AUD module, a CE module, an FA module, and an MPA decoding module. After receiving the user data sent by the UE, the receiving device divides the user data into pilot data and SCMA code data. The pilot signal includes a pilot sequence, and the pilot sequence corresponds to the SCMA codebook. As determined in the codebook pool, the SCMA code data includes one or more SCMA codebooks, and the SCMA code data can be obtained by mapping the bit data through the selected SCMA codebook.

其中，

为导频信号，

为噪声，

为信道衰落系数向量，q表示子载波的个数，即导频序列

的长度，I为实际的活跃用户个数。接收设备可以接收到导频信号

然后接收设备上预置了导频序列

可以根据公式计算得到信道衰落系数。此外，在实际应用中，频选信道中每一个子载波所对应的信道衰落系数h都不相同，即h₁≠h₂≠...≠h_q，而平坦衰落信道中h₁＝h₂＝...＝h_q。The formula for the actual pilot signal can be:

in,

is the pilot signal,

is noise,

is the channel fading coefficient vector, q represents the number of subcarriers, that is, the pilot sequence

The length of , I is the actual number of active users. The receiving device can receive the pilot signal

Then the pilot sequence is preset on the receiving device

The channel fading coefficient can be calculated according to the formula. In addition, in practical applications, the channel fading coefficient h corresponding to each subcarrier in the frequency selective channel is different, that is, h ₁ ≠h ₂ ≠...≠h _q , while in the flat fading channel h ₁ =h ₂ =... _=hq .

The AUD module uses the first potential UE list and the pilot data to obtain the second potential UE list. For example, the AUD module uses the pilot data and the pilot sequence of the pilot pool to filter out P potential active pilots (active pilots) from the K pilots. pilot, AP), therefore there are P AUs, and a second potential UE list can be obtained, that is, there are P potential AUs in the second potential UE list. For example, the specific calculation formula of the AUD module can be:

为导频接收信号，即接收到的导频数据，

为噪声，K为接收设备上预置的所有导频序列的个数，h_k为导频k的能量复数值，即用户设备k经过信道的能量值，

为导频k的导频序列。根据此公式可以从K个导频序列中筛选出P个潜在AP，因此可以确定出P个对该潜在AP对应的AU。in,

is the pilot received signal, i.e. the received pilot data,

is the noise, K is the number of all pilot sequences preset on the receiving device, h _k is the complex value of the energy of the pilot k, that is, the energy value of the user equipment k passing through the channel,

is the pilot sequence of pilot k. According to this formula, P potential APs can be screened from the K pilot sequences, and therefore P AUs corresponding to the potential APs can be determined.

After the CE module receives the pilot signal, it can calculate the channel fading coefficient vector of each UE in the second potential UE list according to the formula according to the pilot signal and the second potential UE list obtained by the AUD module, and the vector is compared to The complex value of the capability calculated by the AUD module can better reflect the channel characteristics of the channel corresponding to the UE. The specific calculation formula can be:

为导频接收信号，P为第二潜在UE列表中用户设备的个数，

为噪声，

为用户设备p的导频所经历的信道衰落向量，即用户设备p在每个子载波上的能量值，

为用户设备p所使用的导频序列，以此公式可以计算出第二潜在UE列表中P个UE的信道衰落系数向量

in,

is the pilot received signal, P is the number of user equipments in the second potential UE list,

is noise,

is the channel fading vector experienced by the pilot of user equipment p, that is, the energy value of user equipment p on each subcarrier,

is the pilot sequence used by user equipment p, and this formula can calculate the channel fading coefficient vector of P UEs in the second potential UE list

通过单调正相关函数计算得到特征值F，例如，

然后通过对比CE模块计算得到的特征值F与预置特征值，确定AU。其中，对比特征值F与预置特征值的方式可以是，若特征值F不低于预置的特征值阈值，则该特征值F对应的UE为AU，反之，则为IAU。因此，FA模块可以将第二潜在UE列表进行筛选得到AU列表。因AUD模块中的能量复数值无法准确的表达UE的信道能力，丢失了部分向量信息，FA模块可以利用AUD模块在频率选择性衰落信道下丢失的信道信息，达到提高免调度场景下接收系统AU检测准确度的目的。其中，该预置的特征值阈值可以是FA模块根据预置的AU计算得到。例如，FA模块在第一时间段内确定了第一AU列表，该第一AU列表中的UE已经确定为AU，在确定第一AU列表后计算该AU列表中的AU的第一特征值。在实际应用中，该第一AU列表中可以包含大量的AU，以提高第一特征值的有效性。当FA模块在第二时间段内需要对第二潜在UE列表中的UE进行筛选时，计算出第二潜在UE列表中的UE的第二特征值，然后将第二特征值与第一特征值进行对比，若第二特征值不低于第一特征值，则确定该第二特征值对应的UE为AU，反之则为IAU。Then the FA module uses the channel fading coefficient vector calculated by the CE module

The eigenvalue F is obtained by calculating the monotonic positive correlation function, for example,

Then, AU is determined by comparing the eigenvalue F calculated by the CE module with the preset eigenvalue. The method of comparing the feature value F with the preset feature value may be, if the feature value F is not lower than the preset feature value threshold, the UE corresponding to the feature value F is an AU, otherwise, it is an IAU. Therefore, the FA module can filter the second potential UE list to obtain the AU list. Because the complex value of energy in the AUD module cannot accurately express the channel capability of the UE, part of the vector information is lost. The FA module can use the channel information lost by the AUD module in the frequency selective fading channel to improve the AU of the receiving system in the scheduling-free scenario. The purpose of detection accuracy. The preset characteristic value threshold may be calculated by the FA module according to the preset AU. For example, the FA module determines the first AU list within the first time period, the UEs in the first AU list have been determined as AUs, and after determining the first AU list, the first feature value of the AUs in the AU list is calculated. In practical applications, the first AU list may contain a large number of AUs to improve the effectiveness of the first feature value. When the FA module needs to screen the UEs in the second potential UE list within the second time period, it calculates the second feature value of the UEs in the second potential UE list, and then compares the second feature value with the first feature value By comparison, if the second eigenvalue is not lower than the first eigenvalue, the UE corresponding to the second eigenvalue is determined to be an AU, otherwise it is an IAU.

After the FA module calculates the eigenvalues of each UE, the CE module can continue to calculate the channel fading coefficient vector for the AUs screened by the FA module, and then the FA module performs eigenvalue calculation and AU screening. The CE module calculates repeated The number of times may be one time or multiple times, which is not specifically limited here. A loop can be formed between the FA module and the CE module to further increase the accuracy of AU detection.

Afterwards, the MPA decoding module decodes the SCMA code data in the received user data through the MPA algorithm according to the AU list to obtain a decoding result, and the decoding is completed.

由CE模块计算得到，用户i的导频位时频资源格信道衰落系数为h_(i,1),h_(i,2),...,h_(i,q)，其中q为该用户的导频序列长度，此时定义一个单调正相关函数，F_i＝f(|h_(i,1)|，|h_(i,2)|,...,|h_(i,q)|)，通过函数f，可以得到用户i经过信道的能量大小，即特征值F_i。然后FA模块可以根据特征值F_i判断UE是否为AU，得到AU列表，该AU列表中包括FA模块确定的R个AU。且R个AU的信道衰落系数向量为

FA模块可通过判断预置的特征值阈值与计算得到的特征值进行对比判定UE是否为AU。In addition, the specific calculation process of the FA module to calculate the eigenvalues is shown in Figure 4.

Calculated by the CE module, the pilot bit time-frequency resource grid channel fading coefficient of user i is h _(i,1) ,h _(i,2) ,...,h _(i,q) , where q is the user The length of the pilot sequence is defined as a monotonic positive correlation function, F _{i =} f(|h _{(i,1) |} ), through the function f, the energy of the user i passing through the channel, that is, the eigenvalue F _i , can be obtained. Then, the FA module can judge whether the UE is an AU according to the characteristic value F _i , and obtain an AU list, where the AU list includes the R AUs determined by the FA module. And the channel fading coefficient vector of R AUs is

The FA module can determine whether the UE is an AU by comparing the preset eigenvalue threshold with the calculated eigenvalue.

The preset eigenvalue threshold may be a curve, as shown in FIG. 5 , the preset eigenvalue threshold curve includes the relationship between the preset eigenvalue and a signal-to-noise ratio (signal-to-noise ratio, SNR) as shown in the figure. The signal-to-noise ratio is calculated by the receiving device according to the data sent by the AU that has been previously determined. The characteristic value curve can pass through the AUD module, CE module and FA module in the receiving device. The eigenvalues of . The higher the signal-to-noise ratio, the lower the preset eigenvalue. The eigenvalue of AU is greater than that of IAU, and the eigenvalue of IAU is closer to 0 as the signal-to-noise ratio increases. If the eigenvalue calculated by the FA module is higher than the preset eigenvalue threshold, that is, located above the preset eigenvalue curve as shown in the figure, the UE corresponding to the eigenvalue is determined to be an AU. E.g. When the signal-to-noise ratio is 9dB, the eigenvalue threshold is 50. If the FA module calculates that the signal-to-noise ratio of a UE's received signal is 9dB and the eigenvalue is 80, the UE is determined to be an AU.

In the embodiment of the present application, the receiving device includes an AUD module, a CE module, an FA module, and an MPA decoding module. After the receiving device receives the user data sent by the UE, it acquires pilot data in the user data, and the AUD module obtains the pilot data according to the guide. The second potential UE list is screened from the first potential UE list by frequency data, and then the CE module calculates the channel fading coefficient vector corresponding to each UE in the second potential UE list according to the pilot data, and then the FA module calculates the channel fading coefficient vector according to the channel fading The vector calculates the eigenvalue of each UE in the second potential UE list, and then the FA compares the eigenvalue with the preset eigenvalue, and if the eigenvalue is not lower than the preset eigenvalue, then determines that the UE corresponding to the eigenvalue is AU, get a list of AUs. After the AU list is determined, the SCMA code data in the user data is decoded to obtain a decoding result. Therefore, in the embodiment of the present application, the feature value is used to determine whether the UE is an AU, and a method for judging whether the UE is an AU is added. The influence of the signal-to-noise ratio is reduced, and the accuracy of determining that the UE is an AU is improved.

The method for detecting the state of the user equipment in the embodiment of the present application has been described above. The following describes the receiving device provided in the embodiment of the present application in detail. Please refer to FIG. 6 , which is a schematic diagram of an embodiment of the receiving device in the embodiment of the present application. Can include:

a receiving module 601, configured to receive user data sent by a user equipment, the user data including pilot data;

AUD module 602, configured to obtain a second potential user equipment list from the first potential user equipment list according to the pilot data;

CE module 603, obtains channel information of each user equipment in the second potential user equipment list according to the pilot data, where the channel information includes a channel fading coefficient vector of each user equipment;

FA module 604, configured to calculate and obtain the characteristic value of each user equipment according to the channel information;

The FA module 604 is further configured to determine the active user equipment AU in each user equipment according to the characteristic value of each user equipment, so as to obtain an AU list.

Optionally,

The FA module 604 is further configured to compare the feature value of each user equipment with a preset feature value threshold to obtain a comparison result;

The FA module 604 is further configured to divide each user equipment into an active user equipment AU and an inactive user equipment IAU according to the comparison result;

The FA module 604 is further configured to obtain the AU list according to the AU.

Optionally,

The FA module 604 is also used to determine that the user equipment is an AU if the feature value of the user equipment is not lower than the preset feature value threshold;

The FA module 604 is further configured to determine that the user equipment is an IAU if the characteristic value of the user equipment is lower than the preset characteristic value threshold.

Optionally,

The FA module 604 is further configured to calculate and obtain the eigenvalue of each user equipment according to the channel fading coefficient vector and the monotonic positive correlation function.

Optionally, the user data also includes sparse code division multiple access SCMA code data, and the receiving device further includes:

The MPA decoding module 605 is configured to decode the SCMA code data through the MPA algorithm and the AUs in the AU list to obtain a decoding result.

FIG. 7 is a schematic structural diagram of a receiving device according to an embodiment of the present invention. The receiving device 700 may vary greatly due to different configurations or performances, and may include one or more central processing units (CPUs) 722 ( For example, one or more processors) and memory 732, one or more storage media 730 (eg, one or more mass storage devices) that store application programs 742 or data 744. Among them, the memory 732 and the storage medium 730 may be short-term storage or persistent storage. The program stored in the storage medium 730 may include one or more modules (not shown in the figure), and each module may include a series of instructions to operate on the receiving device. Further, the central processing unit 722 may be configured to communicate with the storage medium 730 to execute a series of instruction operations in the storage medium 730 on the receiving device 700 .

The central processing unit 722 can perform the following steps according to the instruction operation:

Obtain a second potential user equipment list from the first potential user equipment list according to the pilot data;

Acquire channel information of each user equipment in the second potential user equipment list according to the pilot data, where the channel information includes a channel fading coefficient vector of each user equipment;

Calculate the characteristic value of each user equipment according to the channel information;

An active user equipment AU in each user equipment is determined according to the characteristic value of each user equipment to obtain an AU list.

Receiving device 700 may also include one or more power supplies 726, one or more wired or wireless network interfaces 750, one or more input and output interfaces 758, and/or, one or more operating systems 741, such as Windows Server™, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM and many more.

The steps performed by the receiving device in the above embodiment may be based on the structure of the receiving device shown in FIG. 7 .

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above may refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, and the computer software products are stored in a storage medium , which includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in FIGS. 2 to 5 in various embodiments of the present application. The aforementioned storage medium includes: U disk, removable hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims (12)

1. a method for user equipment state detection, characterized in that, comprising: The receiving device receives user data sent by the user equipment, where the user data includes pilot data; acquiring, by the receiving device, a second list of potential user equipments from the first list of potential user equipments according to the pilot data; The receiving device acquires, according to the pilot data, channel information of each user equipment in the second potential user equipment list, where the channel information includes a channel fading coefficient vector of each user equipment; The receiving device calculates the eigenvalue of each user equipment according to the channel fading coefficient vector; The receiving device determines an active user equipment AU in each user equipment according to the characteristic value of each user equipment, so as to obtain an AU list. 2. The method according to claim 1, wherein the receiving device determines the active user equipment AU in each user equipment according to the characteristic value of each user equipment, so as to obtain an AU list, comprising: The receiving device compares the feature value of each user equipment with a preset feature value threshold to obtain a comparison result; The receiving device divides each user equipment into an active user equipment AU and an inactive user equipment IAU according to the comparison result; The receiving device obtains the AU list according to the AU. 3. The method according to claim 2, wherein the receiving device divides each user equipment into an active user equipment AU and an inactive user equipment IAU according to the comparison result, comprising: If the feature value of the user equipment is not lower than the preset feature value threshold, the receiving device determines that the user equipment is an AU; If the feature value of the user equipment is lower than the preset feature value threshold, the receiving device determines that the user equipment is an IAU. 4. The method according to any one of claims 1-3, wherein the receiving device calculates and obtains the characteristic value of each user equipment according to the channel fading coefficient vector, comprising: The receiving device calculates and obtains the eigenvalue of each user equipment according to the channel fading coefficient vector and the monotonic positive correlation function. 5. The method according to any one of claims 1-3, wherein the user data further comprises sparse code division multiple access (SCMA) code data, and the receiving device is based on the characteristic value of each user equipment After determining the active user equipment AU in each user equipment to obtain the AU list, the method further includes: The receiving device decodes the SCMA code data through the message passing algorithm MPA and the AUs in the AU list to obtain a decoding result. 6. A receiving device, characterized in that, comprising: a receiving module, configured to receive user data sent by the user equipment, where the user data includes pilot data; The AUD module is configured to obtain the second potential user equipment list from the first potential user equipment list according to the pilot data; a channel estimation CE module, obtaining channel information of each user equipment in the second potential user equipment list according to the pilot data, where the channel information includes a channel fading coefficient vector of each user equipment; A fading channel analysis and active codebook detection FA module, configured to calculate and obtain the eigenvalue of each user equipment according to the channel fading coefficient vector; The FA module is further configured to determine the active user equipment AU in each user equipment according to the characteristic value of each user equipment, so as to obtain an AU list. 7. The receiving device according to claim 6, wherein, The FA module is also used to compare the characteristic value of each user equipment with a preset characteristic value threshold to obtain a comparison result; The FA module is further configured to divide each user equipment into an active user equipment AU and an inactive user equipment IAU according to the comparison result; The FA module is further configured to obtain the AU list according to the AU. 8. The receiving device according to claim 7, wherein, The FA module is further configured to determine that the user equipment is an AU if the feature value of the user equipment is not lower than the preset feature value threshold; The FA module is further configured to determine that the user equipment is an IAU if the characteristic value of the user equipment is lower than the preset characteristic value threshold. 9. The receiving device according to any one of claims 6-8, characterized in that, The FA module is further configured to calculate and obtain the eigenvalue of each user equipment according to the channel fading coefficient vector and the monotonic positive correlation function. 10. The receiving device according to any one of claims 6-8, wherein the user data further comprises sparse code division multiple access (SCMA) code data, and the receiving device further comprises: The MPA decoding module is configured to decode the SCMA code data through the MPA algorithm and the AUs in the AU list to obtain a decoding result. 11. A receiving device, characterized in that, comprising: processor, memory, bus and input and output interface; A program code is stored in the memory; The processor executes the steps of the method of any one of claims 1 to 5 when the processor invokes the program code in the memory. 12. A computer-readable storage medium having stored thereon program code which, when executed on a computer, causes the computer to perform the method of any one of claims 1 to 5.

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