CN110012494B - Method for detecting state of user equipment and related equipment - Google Patents

Method for detecting state of user equipment and related equipment Download PDF

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CN110012494B
CN110012494B CN201810011538.0A CN201810011538A CN110012494B CN 110012494 B CN110012494 B CN 110012494B CN 201810011538 A CN201810011538 A CN 201810011538A CN 110012494 B CN110012494 B CN 110012494B
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user equipment
list
data
receiving
module
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CN110012494A (en
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王飞龙
赵慧
王晋超
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Huawei Technologies Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0047—Decoding adapted to other signal detection operation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/0224—Channel estimation using sounding signals

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  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application provides a method for detecting the state of User Equipment (UE) and related equipment, which are used for detecting whether the UE is an AU under a scheduling-free scene, so that the efficiency and the accuracy of detecting the AU are improved. The method comprises the following steps: receiving user data sent by user equipment by receiving equipment, wherein the user data comprises pilot frequency data; the receiving device obtains a second potential user equipment list from the first potential user equipment list according to the pilot frequency data; the receiving device obtains channel information of each user device in the second potential user device list according to the pilot frequency data, wherein the channel information comprises a channel fading coefficient vector of each user device; the receiving device calculates the characteristic value of each user device according to the channel information; and the receiving equipment determines an active user equipment AU in each user equipment according to the characteristic value of each user equipment to obtain an AU list.

Description

Method for detecting 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 detecting a status of a user equipment and a related device.
Background
With the development of communication technology, in a fifth generation (5G) communication system, a scheduling-free transmission mechanism is supported, that is, a User Equipment (UE) is allowed to directly transmit data without applying for scheduling to an attached receiving device. However, one receiving device may access multiple UEs, so that multiple UEs may send data to the receiving device at the same time, and therefore the receiving device needs to distinguish Active user equipment (AU) from Inactive user equipment (IAU), where AU is the UE currently sending data and IAU is the UE not currently sending data.
In the existing solution, the receiving device includes an Active User Detection (AUD) module, a Channel Estimation (CE) module, and a joint data and active Code book detection (JMPA) module, and after receiving user data sent by one UE, the receiving device may include Sparse Code Multiple Access (SCMA) data and pilot data. And after receiving the pilot data, the AUD module screens out a second potential UE list from the first potential UE list, each UE in the second potential UE list is used as a potential AU by the AUD module, and the CE module calculates a channel fading coefficient vector of each UE in the second potential UE list according to the pilot data. The IAU can be regarded as a UE that transmits a zero codeword, i.e., a codeword whose symbol data are all 0. And then, calculating the probability that the data sent by each UE is zero code word by a JMPA module according to the channel fading coefficient vector and SCMA code data, judging the UE with the zero code word probability higher than a threshold value as an IAU (inter-integrated path), and if the zero code word probability is not higher than the threshold value, judging the UE as an AU, and decoding the sent data to obtain a decoding result.
In the existing scheme, an AU and an IAU are distinguished by calculating the probability of each UE sending a zero codeword, the IAU is regarded as data sending the zero codeword to a receiving device, and the data sent by the AU is a non-zero codeword, so the signal-to-noise ratio of the data sent by the IAU is much lower than that of the data sent by the AU, and therefore the probability of correctly decoding the data sent by the IAU is reduced, the probability of judging the IAU as the zero codeword is reduced, some IAUs are judged to be the AU, and the division of the AU and the IAU is inaccurate.
Disclosure of Invention
The embodiment of the application provides a method for detecting the state of User Equipment (UE) and related equipment, which are used for detecting whether the UE is an AU under a scheduling-free scene, so that the efficiency and the accuracy of detecting the AU are improved.
In view of the above, a first aspect of the present application provides a method for detecting a status of a ue, which may include:
receiving user data sent by UE (user equipment), wherein the user data comprises pilot frequency data; the receiving equipment screens out a second potential UE list from the first potential UE list according to the pilot frequency data; the receiving device obtains channel information of each UE in the second potential UE list according to the pilot data, where the channel information may include a channel fading coefficient vector of each UE; the receiving equipment calculates the characteristic value of each UE according to the channel information; the receiving device determines the AU in each UE according to the characteristic value of each UE to obtain an AU list, wherein the AU list comprises the AU in each UE.
In the embodiment of the application, after receiving user data sent by UE, a receiving device obtains pilot data in the user data, screens out a second potential UE list from a first potential UE list according to the pilot data, then 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, obtains a feature value of each UE according to the channel fading coefficient vector, and identifies an AU in each UE according to the feature value to obtain an AU list. AUs do not need to be distinguished according to the zero code word probability sent by the UE, the influence of signal-to-noise ratio on the judgment of AUs by the receiving equipment is reduced, and the accuracy of the judgment of the UE by the receiving equipment is improved. Meanwhile, the characteristic value of each UE is calculated through the channel fading coefficient vector of each UE, so that the channel capacity of each UE can be more accurately reflected, and particularly, in the scene of frequency-selective channels, the channel fading coefficient vector can reflect the channel condition of each UE on each subcarrier, so that the channel characteristics experienced by the UE can be more accurately reflected, and the accuracy of distinguishing AUs by the receiving equipment is further improved.
With reference to the first aspect of the present application, in a first implementation manner of the first aspect of the present application, the determining, by the receiving device, an AU in the second potential UE list according to the feature value of each UE to obtain an AU list may include:
the receiving device compares the eigenvalue of each UE with a preset eigenvalue threshold to obtain a comparison result, where the preset eigenvalue threshold may be calculated by the receiving device according to the current AU determined before; the receiving device divides each UE into AUs and IAUs according to the comparison result; the receiving device obtains the AU list from the AU.
In the embodiment of the present application, the eigenvalue of each UE calculated by the receiving device is compared with a preset eigenvalue threshold to obtain a comparison result, and then the AU and the IAU in the second potential UE list are distinguished according to the comparison result. A specific method of distinguishing AUs is provided.
With reference to the first implementation manner of the first aspect of the present application, in a second implementation manner of the first aspect of the present application, the dividing, by the receiving device, each UE into an AU and an IAU according to the comparison result may include:
if the eigenvalue of the UE is not lower than the preset eigenvalue threshold, the receiving equipment 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 IAU.
In this embodiment of the present application, the preset eigenvalue threshold may be calculated by the receiving device according to a determined AU, if the eigenvalue of the UE is not less than the preset eigenvalue threshold, the UE may be determined as the AU, and if the eigenvalue of the UE is less than the preset eigenvalue threshold, the UE may be determined as the IAU.
With reference to the first aspect of the present application, the first implementation manner of the first aspect of the present application to any one implementation manner of the second implementation manner of the first aspect of the present application, in a third implementation manner of the first aspect of the present application, the calculating, by the receiving device, the eigenvalue of each UE according to the channel information may include:
and the receiving equipment calculates the characteristic value of each UE according to the channel fading coefficient vector and the monotone positive correlation function.
In the embodiment of the application, the receiving device calculates the channel fading coefficients through the monotone positive correlation function to obtain the characteristic value of each UE, and then determines the AU in each UE according to the characteristic value of each UE, and whether the UE is an AU is not required to be determined according to whether the data content sent by the UE is a zero codeword, the channel fading coefficient vector can better embody the channel capability of each UE, and particularly when the frequency selection channel is involved, the channel fading coefficient vector can better embody the channel capability of each UE, and the accuracy of determining the AU by the receiving device can be improved.
With reference to the first aspect of the present application, in a fourth implementation manner of the first aspect of the present application, the user data further includes sparse code division multiple access SCMA code data, and after the receiving device determines an AU in each UE according to the feature value of each UE to obtain an AU list, the method may further include:
the receiving device decodes the SCMA code data through the MPA and the AU in the AU list to obtain a decoding result.
In this embodiment, the user data further includes SCMA code data, where the SCMA code data is formed by one or more SCMA codebooks, and after determining the AU, the SCMA code data is decoded by using an MPA decoding algorithm to obtain a decoding result, so as to complete receiving and decoding of the user data.
A second aspect of the present application provides a receiving apparatus, which may include:
a receiving module, configured to receive user data sent by a UE, where the user data includes pilot data;
the AUD module is used for acquiring a second potential UE list from the first potential UE list according to the pilot data;
the CE module is used for acquiring channel information of each UE in the second potential UE list according to the pilot frequency data, wherein the channel information comprises a channel fading coefficient vector of each UE;
a Fading channel analysis and Active codebook detection (FA) module, configured to calculate a feature value of each UE according to the channel information;
the FA module is further configured to determine an AU in each UE according to the eigenvalue of each UE, so as to obtain an AU list.
Alternatively, the user may, in some possible designs,
the FA module is further configured to compare the eigenvalue of each UE with a preset eigenvalue threshold to obtain a comparison result;
the FA module is further configured to divide each UE into an AU and an IAU according to the comparison result;
the FA module is also used for obtaining the AU list according to the AU.
Alternatively, the user may, in some possible designs,
the FA module is further configured to determine that the UE is an AU if the eigenvalue of the UE is not lower than the preset eigenvalue threshold;
the FA module is further configured to determine that the UE is an IAU if the UE eigenvalue is lower than the preset eigenvalue threshold.
Alternatively, the user may, in some possible designs,
the FA module is further configured to calculate a feature value of each UE according to the channel fading coefficient vector and the monotonic positive correlation function.
Alternatively, the user may, in some possible designs,
the user data further includes sparse code division multiple access, SCMA, code data, the receiving device further including:
and the Message Passing Algorithm (MPA) decoding module is used for decoding the SCMA code data through the MPA algorithm and the AU 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:
the system comprises a processor and a memory, wherein the processor is connected with the memory;
the memory for storing program code;
the processor executes the steps executed by the receiving device provided in the first aspect of the present application or any one of the embodiments of the first aspect when calling the program code in the memory.
A fourth aspect of the embodiments of the present application provides a storage medium, it should be noted that a part of the technical solution of the present invention or a whole or part of the technical solution may be embodied in the form of a software product, and the computer software product is stored in a storage medium and used for storing computer software instructions for the above apparatus, and includes a program for executing the above first aspect designed for the receiving apparatus.
The storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
A fifth aspect of embodiments of the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method as described in the first aspect of the present application or any of the alternative embodiments of the first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
after receiving user data sent by the UE, the receiving device may obtain pilot data from the user data, then screen out a second potential UE list from the first potential UE list according to the pilot data, then calculate channel information of each UE in the second potential UE list according to the second potential UE list and the pilot data, where the channel information includes a channel fading coefficient vector of each UE in the second potential UE list, then the receiving device may calculate a feature value of each UE, and then determine an AU in the second potential UE list according to the feature value of each UE, so as to obtain an AU list. In the embodiment of the present application, the AU is determined by calculating the feature value of each UE in the second potential UE list, and under the same condition, the feature value of the AU may be higher than the IAU, so that whether the UE is an AU may be determined according to the feature value of the UE to obtain the AU list. The embodiment of the application can directly use the characteristic value to embody the characteristic of the UE sending data, so that the influence of the signal-to-noise ratio on the judgment of the AU by the receiving equipment can be reduced, the accuracy of the receiving equipment in determining the AU is improved, the condition that the receiving equipment inaccurately divides the AU and the IAU is reduced, the probability that the IAU is judged as the AU, namely false alarm is reduced, and the probability that the AU is judged as the IAU, namely missed detection is reduced.
Drawings
FIG. 1 is a diagram of a system architecture in an embodiment of the present application;
fig. 2 is a schematic diagram of an embodiment of a detection method of a user equipment in an embodiment of the present application;
fig. 3 is a schematic diagram of another embodiment of a detection method of a user equipment in an embodiment of the present application;
fig. 4 is a schematic diagram of another embodiment of a detection method of a user equipment in an embodiment of the present application;
fig. 5 is a schematic diagram of another embodiment of a detection method of a user equipment in an embodiment of the present application;
FIG. 6 is a schematic diagram of an embodiment of a receiving device in the embodiment of the present application;
fig. 7 is a schematic diagram of another embodiment of a receiving device in the embodiment of the present application.
Detailed Description
The embodiment of the application provides a method for detecting the state of user equipment and related equipment, which are used for improving the accuracy of detecting AU by calculating and detecting AU in a scheduling-free scene.
With the development of communication technology, in Long Term Evolution (Long Term Evolution, LTE for short), dynamic scheduling and semi-static scheduling are included. During data transmission, the dynamic scheduling mechanism has the characteristics of high data header overhead and high time delay, while the semi-static scheduling can reduce the data header overhead, but the semi-static scheduling is more suitable for periodic communication, such as voice over internet protocol (VoIP). In aperiodic communication, semi-persistent scheduling cannot efficiently support access of UEs and transmission of data. Therefore, in fifth generation (5G) communication systems, a schedule-free transmission mechanism is also supported. In the scheduling-free scenario, the UE is allowed to directly perform data transmission without applying for scheduling to the attached receiving device. However, in a scheduling-free scenario, there is a case that multiple UEs transmit data to the receiving device at the same time, so that the receiving device cannot directly determine the UE to be transmitted, and needs to detect the current AU, determine the AU, and decode the received data to obtain a decoding result. For example, the receiving device may be a base station, the base station is connected to a plurality of UEs, the plurality of UEs may directly send user data to the base station without applying for scheduling to the base station, and the base station needs to detect a current AU after receiving the user data sent by the user device, and then decode the received user data.
When the receiving device is a base station, a system architecture applied to the scheme provided by the embodiment of the present application is as shown in fig. 1, and mainly includes user equipment, the base station, and a core network. The UE may access the base station through a wireless connection and establish a connection with the core network through the base station, for example, the UE1 accesses the base station 1, an Xn interface connection is established between the base station 1, the base station 2 and the base station 3, the UE2 accesses the base station 3, and the UE1 and the UE2 establish a connection with the core network through the base station 1 and the base station 3, and perform communication and data transmission. The scheme provided by the embodiment of the application can be applied to an LTE system or other wireless communication systems adopting a scheduling-free scene, including a new radio access Network (NR) system of the fifth generation 5G.
In a scheduling-free scene under the system architecture, the UE can directly transmit data with the base station without applying for scheduling to the base station. When the UE receives a request to send data to the base station, or the UE needs to actively send data to the base station, the UE may directly send user data to the base station, that is, send user data to the receiving device. Before sending data to a receiving device, a set of codebook and pilot sequence is selected from a codebook pool and a pilot pool by a UE, the codebook corresponds to the pilot sequence, the codebook pool and the pilot pool are known or preset by the receiving device, and the corresponding relation between the codebook and the pilot sequence is known by the receiving device. The UE may perform modulation of the user data according to the SCMA code data transmission flow, and transmit the user data to the receiving device.
It should be noted that the receiving device may be a base station, and may also be a network node supporting a scheduling-free scenario, for example, a wireless terminal device (CPE), a router, and the like, and the specific details are not limited herein.
After receiving user data sent by the UE, the receiving device first obtains a second potential UE list from the first potential UE list according to pilot data in the user data, i.e. the screened AUs are stored in the second potential UE list, where the first potential UE list is all preset UEs accessing the receiving device on the receiving device. And then, calculating a channel fading coefficient vector of each UE in the second potential UE list through the pilot data, and then continuously screening the second potential UE list through the channel fading coefficient to obtain an AU list.
Referring to fig. 2, a flow of a method for detecting a state of a user equipment provided in an embodiment of the present application is described below, and an embodiment of the method for detecting a state of a user equipment in an embodiment of the present application is schematically illustrated, and includes:
201. receiving pilot frequency data sent by user equipment by receiving equipment;
the receiving device receives user data sent by the UE, wherein the user data comprises pilot data and SCMA code data. The user data may be sent by one UE or sent by multiple UEs simultaneously, which is not limited herein. The pilot data, i.e., pilot signal, includes a pilot sequence. The SCMA code data is obtained by modulating the UE and can be composed of one or more SCMA codebooks.
The process of the UE sending the user data may be that a codebook pool and a pilot pool are preset on both the UE and the receiving device, an SCMA codebook that can be transmitted between the UE and the receiving device is stored in the codebook pool, a pilot sequence corresponds to the SCMA codebook, or a codebook corresponds to a pilot sequence, the UE selects the SCMA codebook and the pilot sequence from the codebook pool and the pilot pool, and the selection of the SCMA codebook and the pilot sequence may be random. And then, modulating the SCMA codebook and transmitting the SCMA codebook to receiving equipment.
202. The receiving equipment acquires a second potential user equipment list from the first potential user equipment list according to the pilot frequency data;
the method comprises the steps that after receiving user data sent by UE, a receiving device obtains pilot frequency data from the user data, and obtains a second potential UE list from a first potential UE list according to the pilot frequency data, wherein the first potential UE list is a UE list preset in the receiving device, the first potential UE list can comprise all access devices on the receiving device, and the second potential list is a list which is determined to be AU after the receiving device screens according to pilot signals. The specific screening method may be that the receiving device screens through a preset formula.
203. The receiving equipment acquires the channel information of each user equipment in the second potential user equipment list according to the pilot frequency data;
and the receiving equipment acquires the channel information of each UE in the second potential UE list according to the received pilot frequency data, wherein the channel information comprises a channel fading coefficient vector corresponding to each UE. In an actual application scenario, the IAU may be regarded as a channel that experiences infinite fading because no data is transmitted. The channel information may also include channel capacity or other channel capability information of a channel corresponding to each UE, and the like, which is not limited herein.
204. The receiving equipment calculates the characteristic value of each user equipment according to the channel information;
after the receiving device calculates the channel information of each UE in the second potential UE list, the receiving device calculates a characteristic value of each UE according to the channel information, where the characteristic value may be calculated by the receiving device according to a channel fading coefficient vector corresponding to each UE and a monotonic positive correlation function. Whether the UE transmits user data, that is, whether the UE is an AU can be identified according to the size of the eigenvalue, and in practical applications, the eigenvalue of the AU is generally larger than the eigenvalue of the IAU, so that whether the UE is an AU can be identified according to the size of the eigenvalue.
205. And the receiving equipment determines an active user equipment AU in each user equipment according to the characteristic value of each user equipment to obtain an AU list.
After calculating the eigenvalue of each UE, the receiving device may determine whether the UE is an AU according to the eigenvalue of the UE, and may obtain an AU list after determining all AUs in the second potential UE list. Specifically, the process of determining whether the UE is an AU according to the feature value of the UE may be that a preset feature value threshold is also present on the receiving device, and the preset feature value threshold may be calculated by the receiving device according to the determined AU. And the receiving equipment judges whether the characteristic value of the UE is not less than a preset characteristic value threshold value, if so, the UE is determined to be an AU, and if not, the UE is determined to be an IAU.
In addition, after the receiving device determines the AU, it may be determined that the user data is sent by the AU, and the SCMA code data in the user data may be decoded according to the AU to obtain a decoding result, thereby completing the reception of the user data.
In the embodiment of the application, after receiving user data sent by UE, a receiving device obtains pilot frequency data in the user data, and the receiving device screens out a second potential UE list from the first potential UE list according to the pilot frequency data, then calculates a channel fading coefficient vector corresponding to each UE in the second potential UE list according to the pilot frequency data, then calculates a feature value of each UE in the second potential UE list according to the channel fading coefficient vector, determines whether the UE is an AU according to the feature value, and then obtains an AU list. Therefore, whether the UE is an AU is judged according to the characteristic value, a mode of judging whether the UE is the AU is added, and compared with the mode of judging whether the UE is the AU according to the probability of zero code words in the prior art, the method and the device reduce the influence of the signal-to-noise ratio, and improve the accuracy of judging the UE to be the AU.
The foregoing describes a method for detecting a state of a user equipment in an embodiment of the present application, and an example of practical application is described below, specifically, referring to fig. 3, where another embodiment of a method for detecting a state of a user equipment in an embodiment of the present application is shown.
The receiving device may include an AUD module, a CE module, an FA module, and an MPA decoding module. When receiving user data sent by UE, a receiving device divides the user data into pilot data and SCMA code data, the pilot signal comprises a pilot sequence, the pilot sequence corresponds to an SCMA codebook, the SCMA codebook is determined by the UE in a codebook pool, the SCMA code data comprises one or more SCMA codebooks, and the SCMA code data can be obtained by mapping bit data through the selected SCMA codebook.
The actual pilot signal formula may be:
Figure BDA0001540489580000061
wherein the content of the first and second substances,
Figure BDA0001540489580000062
in the case of a pilot signal, the pilot signal,
Figure BDA0001540489580000063
in order to be a noise, the noise is,
Figure BDA0001540489580000064
for the channel fading coefficient vector, q represents the number of subcarriers, i.e. the pilot sequence
Figure BDA0001540489580000065
I is the actual number of active users. The receiving device can receive the pilot signal
Figure BDA0001540489580000066
Then the pilot frequency sequence is preset on the receiving equipment
Figure BDA0001540489580000067
The channel fading coefficient can be calculated according to a formula. In addition, in practical application, the channel fading coefficients h corresponding to each subcarrier in the frequency selective channel are all different, that is, h1≠h2≠...≠hqIn flat fading channel h1＝h2＝...＝hq。
The AUD module obtains a second potential UE list using the first potential UE list and the pilot data, for example, the AUD module screens out P potential Active Pilots (APs) from the K pilots by using the pilot sequence of the pilot data and the pilot pool, so that there are P AUs, and can obtain the second potential UE list, that is, there are P potential AUs in the second potential UE list. For example, the specific calculation formula of the AUD module may be:
Figure BDA0001540489580000068
wherein the content of the first and second substances,
Figure BDA0001540489580000069
for pilot reception signals, i.e. received pilot data,
Figure BDA00015404895800000610
for noise, K is the number of all pilot sequences preset on the receiving device, hkThe complex value of the energy of pilot k, i.e. the energy value of user equipment k through the channel,
Figure BDA00015404895800000611
is the pilot sequence for pilot k. According to the formula, P potential APs can be screened out from K pilot frequency sequences, so that P AUs corresponding to the potential APs can be determined.
After receiving the pilot signal, the CE module may calculate, according to the pilot signal and the second potential UE list obtained by the AUD module, a channel fading coefficient vector of each UE in the second potential UE list according to a formula, where the vector may better reflect channel characteristics of a channel corresponding to the UE than a capability complex value calculated by the AUD module. The specific calculation formula may be:
Figure BDA00015404895800000612
wherein the content of the first and second substances,
Figure BDA00015404895800000613
for pilot received signals, P is the number of user equipments in the second list of potential UEs,
Figure BDA00015404895800000614
in order to be a noise, the noise is,
Figure BDA00015404895800000615
the channel fading vector experienced by the pilot of user equipment p, i.e. the energy value of user equipment p on each subcarrier,
Figure BDA0001540489580000071
for the pilot sequence used by the user equipment P, the channel fading coefficient vectors of P UEs in the second potential UE list can be calculated according to the formula
Figure BDA0001540489580000072
The FA module then utilizes the channel fading coefficient vector calculated by the CE module
Figure BDA0001540489580000073
The characteristic value F is calculated by a monotonic positive correlation function, for example,
Figure BDA0001540489580000074
then comparing the characteristic value F calculated by the CE module with the preset characteristicValue, AU is determined. The manner of comparing the eigenvalue F with the preset eigenvalue may be that if the eigenvalue F is not lower than the preset eigenvalue threshold, the UE corresponding to the eigenvalue F is an AU, and otherwise, the UE is an IAU. Therefore, the FA module may filter the second potential UE list to obtain an AU list. Because the energy complex value in the AUD module can not accurately express the channel capability of the UE and loses part of vector information, the FA module can utilize the channel information lost by the AUD module under the frequency selective fading channel to achieve the purpose of improving the AU detection accuracy of the receiving system under the scheduling-free scene. The preset eigenvalue threshold may be calculated by the FA module according to a preset AU. For example, the FA module determines a first AU list for a first time period, the UE in the first AU list having been determined to be an AU, and calculates a first feature value of the AU in the AU list after determining the first AU list. In practical applications, the first AU list may include a large number of AUs to improve the effectiveness of the first feature value. And when the FA module needs to screen the UE in the second potential UE list in a second time period, calculating a second characteristic value of the UE in the second potential UE list, comparing the second characteristic value with the first characteristic value, and if the second characteristic value is not lower than the first characteristic value, determining that the UE corresponding to the second characteristic value is AU, otherwise, the UE is IAU.
After the FA module performs the eigenvalue calculation of each UE, the CE module may further continue to perform channel fading coefficient vector calculation on the AU filtered by the FA module, and then perform eigenvalue calculation and AU screening by the FA module, where the number of times of the calculation repetition of the CE module may be one or multiple, and is not limited herein. A loop can be formed between the FA module and the CE module to further increase the accuracy of AU detection.
And then the MPA decoding module decodes the SCMA code data in the received user data through an MPA algorithm according to the AU list to obtain a decoding result, and the decoding is completed.
In addition, the specific calculation process of calculating the characteristic value by the FA module is shown in fig. 4,
Figure BDA0001540489580000075
by CE moduleThe block calculation is carried out, the channel fading coefficient of the pilot frequency bit time frequency resource grid of the user i is h(i,1),h(i,2),...,h(i,q)Wherein q is the pilot sequence length of the user, when a monotonic positive correlation function is defined, Fi＝f(|h(i,1)|，|h(i,2)|,...,|h(i,q)|), the energy of the user i passing through the channel, i.e. the characteristic value F, can be obtained through the function Fi. The FA module can then determine the characteristic value FiAnd judging whether the UE is an AU or not to obtain an AU list, wherein the AU list comprises R AUs determined by the FA module. And the channel fading coefficient vectors of R AUs are
Figure BDA0001540489580000076
Figure BDA0001540489580000077
The FA module can judge whether the UE is an AU or not by judging the comparison between a preset characteristic value threshold and a calculated characteristic value.
The preset eigenvalue threshold may be a curve, as shown in fig. 5, and the preset eigenvalue threshold curve includes a preset eigenvalue to signal-to-noise ratio (SNR) relationship as shown. The signal-to-noise ratio is calculated by the receiving device according to the data sent by the current AU which is determined before, and the characteristic value curve can be calculated by the FA module according to a large number of determined AU and IAU characteristic values through an AUD module, a CE module and the FA module in the receiving device. The higher the signal-to-noise ratio, the lower the preset eigenvalue. The eigenvalue of the AU is larger than that of the IAU, and the eigenvalue of the IAU is closer to 0 as the signal-to-noise ratio increases. And if the eigenvalue calculated by the FA module is higher than the preset eigenvalue threshold value, namely is positioned above the preset eigenvalue curve, determining the UE corresponding to the eigenvalue as the AU. For example. When the signal-to-noise ratio is 9dB, the eigenvalue threshold is 50, and if the FA module calculates that the signal-to-noise ratio of the received signal of one UE is 9dB and the eigenvalue is 80, the UE is determined to be AU.
In the embodiment of the application, the receiving device includes an AUD module, a CE module, an FA module, and an MPA decoding module, where after receiving user data sent by the UE, the receiving device obtains pilot data in the user data, the AUD module screens out a second potential UE list from the first potential UE list according to the pilot data, the CE module calculates a channel fading coefficient vector corresponding to each UE in the second potential UE list according to the pilot data, the FA module calculates a feature value of each UE in the second potential UE list according to the channel fading vector, the FA compares the feature value with a preset feature value, and if the feature value is not lower than the preset feature value, determines the UE corresponding to the feature value as an AU to obtain an AU list. And after the AU list is determined, decoding SCMA code data in the user data to obtain a decoding result. Therefore, whether the UE is an AU is judged according to the characteristic value, a mode of judging whether the UE is the AU is added, and compared with the mode of judging whether the UE is the AU according to the probability of zero code words in the prior art, the method and the device reduce the influence of the signal-to-noise ratio, and improve the accuracy of judging the UE to be the AU.
In the foregoing description of the method for detecting the state of the ue in this embodiment, referring to fig. 6, the following describes in detail a receiving device provided in this embodiment, and an embodiment of the receiving device in this embodiment is schematically illustrated, which may include:
a receiving module 601, configured to receive user data sent by a user equipment, where the user data includes pilot data;
an AUD module 602, configured to obtain a second potential user equipment list from the first potential user equipment list according to the pilot data;
the CE module 603, obtaining channel information of each ue in the second list of potential ues according to the pilot data, where the channel information includes a channel fading coefficient vector of each ue;
the FA module 604, configured to calculate a characteristic value of each ue according to the channel information;
the FA module 604 is further configured to determine an active user equipment AU in each user equipment according to the feature value of each user equipment, so as to obtain an AU list.
Alternatively,
the FA module 604 is further configured to compare the eigenvalue of each ue with a preset eigenvalue threshold to obtain a comparison result;
the FA module 604 is further configured to divide each ue into an active ue AU and an inactive ue IAU according to the comparison result;
the FA module 604 is further configured to obtain the AU list according to the AU.
Alternatively,
the FA module 604 is further configured to determine that the ue is an AU if the eigenvalue of the ue is not lower than the preset eigenvalue threshold;
the FA module 604 is further configured to determine that the ue is an IAU if the ue characteristic value is lower than the preset characteristic value threshold.
Alternatively,
the FA module 604 is further configured to calculate a characteristic value of each ue according to the channel fading coefficient vector and the monotonic positive correlation function.
Optionally, the user data further includes sparse code division multiple access SCMA code data, and the receiving device further includes:
and the MPA decoding module 605 is configured to decode the SCMA code data through the MPA algorithm and the AU in the AU list to obtain a decoding result.
Fig. 7 is a schematic structural diagram of a receiving device 700 according to an embodiment of the present invention, where the receiving device 700 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 722 (e.g., one or more processors) and a memory 732, and one or more storage media 730 (e.g., one or more mass storage devices) for storing applications 742 or data 744. Memory 732 and storage medium 730 may be, among other things, transient storage or persistent storage. The program stored in the storage medium 730 may include one or more modules (not shown), each of which may include a series of instruction operations for a receiving device. Further, the central processor 722 may be configured to communicate with the storage medium 730, and execute a series of instruction operations in the storage medium 730 on the receiving device 700.
The cpu 722 may perform the following steps according to the instruction operation:
acquiring a second potential user equipment list from the first potential user equipment list according to the pilot frequency data;
acquiring channel information of each user equipment in the second potential user equipment list according to the pilot frequency data, wherein the channel information comprises a channel fading coefficient vector of each user equipment;
calculating a characteristic value of each user equipment according to the channel information;
and determining an active user equipment AU in each user equipment according to the characteristic value of each user equipment to obtain an AU list.
The receiving apparatus 700 may also include one or more power supplies 726, one or more wired or wireless network interfaces 750, one or more input-output interfaces 758, and/or one or more operating systems 741, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The steps performed by the receiving device in the above embodiments may be based on the receiving device structure shown in fig. 7.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a storage medium, and including several 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 methods described in fig. 2 to 5 in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should 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 the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims (12)

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