CN113708861B - UE baseband combining prediction method, system, equipment and storage medium - Google Patents

UE baseband combining prediction method, system, equipment and storage medium Download PDF

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Publication number
CN113708861B
CN113708861B CN202111082021.9A CN202111082021A CN113708861B CN 113708861 B CN113708861 B CN 113708861B CN 202111082021 A CN202111082021 A CN 202111082021A CN 113708861 B CN113708861 B CN 113708861B
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list
select
baseband
channel quality
neighbor
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CN113708861A (en
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任恩贤
周国勇
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Shenzhen Jiaxian Communication Technology Co ltd
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Shenzhen Jiaxian Communication Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/373Predicting channel quality or other radio frequency [RF] parameters

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application relates to the technical field of communication, and aims to improve the accuracy, timeliness and transmission efficiency of baseband combination. The method comprises the following steps: collecting channel quality of RU; selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select; and the UE performs baseband merging, and only acquires information in a neighbor RU list corresponding to the RU_select of the current UE during merging.

Description

UE baseband combining prediction method, system, equipment and storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a UE baseband combining prediction method, a system, a computer device, and a storage medium.
Background
The separation of communication using nFAPI interface between DU and RU in O-RAN of 5G is called option6, where DU contains RLC and MAC, RU contains PHY, RF and antenna. One DU may connect multiple RUs through the EU. On the other hand, GPON is a broadband access technology commonly adopted by large operators at present, and if the 5 goltion 6 base station uses the existing GPON transmission network for forwarding, the 5G networking cost can be greatly saved.
This scenario 5G base station needs to share bandwidth with GPON existing traffic. N-selected M baseband combining is needed to solve the problem of uplink congestion, and the accuracy, timeliness and transmission efficiency of the N-selected M baseband combining directly determine the uplink service experience of 5G users, and the patent provides a prediction method for improving the baseband combining quality.
Disclosure of Invention
The application provides a method, a system, computer equipment and a storage medium for predicting baseband combination of UE (user equipment), which are used for improving the prediction of baseband combination quality and improving the accuracy, timeliness and transmission efficiency of baseband combination.
In a first aspect, the present application provides a UE baseband combining prediction method, where the method includes:
collecting channel quality of UE in different RUs;
selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select;
and the UE performs baseband merging, and only acquires information in a neighbor RU list corresponding to the RU_select of the current UE during merging.
In a second aspect, the present application further provides a UE baseband combining prediction system, where the system includes:
a channel quality collection unit for collecting channel quality of RUs;
a list establishing unit, configured to select one RU with the best channel quality for the same preamble ID, denoted as ru_select, and list some or all of the remaining detected same preamble IDs as neighbor RU lists of ru_select;
and the merging unit is used for the UE to execute baseband merging, and only acquires the information in the adjacent RU list corresponding to the RU_select of the current UE during merging.
In a third aspect, the present application also provides a computer device comprising a memory and a processor; the memory is used for storing a computer program; the processor is configured to execute the computer program and implement the UE baseband combining prediction method as described above when executing the computer program.
In a fourth aspect, the present application also provides a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to implement a UE baseband combining prediction method as described above.
The application discloses a method, a system, equipment and a storage medium for predicting the combination of UE baseband, which collect the channel quality of RU; selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select; and the UE performs baseband merging, and only acquires information in a neighbor RU list corresponding to the RU_select of the current UE during merging. The method and the device are used for improving the prediction of the baseband combining quality, so that the accuracy, timeliness and transmission efficiency of baseband combining are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a UE baseband combining prediction method according to an embodiment of the present application;
fig. 2 is a schematic block diagram of a UE baseband combining prediction system according to an embodiment of the present application;
fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
Some terms are explained first below. The nFAPI is an interface communication mode, the UE is user equipment, the DU is a distribution unit, the EU is an expansion unit, the RU is an EU expanded remote unit, the SINR is a signal to interference plus noise ratio, the PUCCH is a physical uplink control channel, the PUSCH is a physical uplink shared channel, the SRS is a signal detection reference signal, the RSSI is a received signal strength indication, the BBU is a baseband processing unit, the OAM is an operation maintenance management system of the network, the GPON is a gigabit passive optical network or a gigabit passive optical network, the GPON technology is the latest generation broadband passive optical comprehensive access standard based on the ITU-TG.984.X standard, and the system has the advantages of high bandwidth, high efficiency, large coverage, rich user interfaces and the like.
The embodiment of the application provides a method, a system, computer equipment and a storage medium for predicting UE baseband combination. The method for predicting the baseband combination of the UE can be applied to a terminal or a server to improve the prediction of the baseband combination quality, so that the accuracy, timeliness and transmission efficiency of the baseband combination are improved. The application is applied to the 5G options 6+GPon scene, and the DU and the RU are communicated through the nFAPI interface and are transmitted by using the existing GPON transmission network.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart of a UE baseband combining prediction method according to an embodiment of the present application. The identification method comprises steps S1 to S3.
S1, collecting channel quality of the UE in different RUs.
S2, selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select.
And S3, the UE performs baseband combination, and only acquires information in an adjacent RU list corresponding to the RU_select of the current UE during combination.
The baseband combining method provided in the above embodiment collects the channel quality of RU; selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select; and the UE performs baseband merging, and only acquires information in a neighbor RU list corresponding to the RU_select of the current UE during merging. In the application, when the baseband is combined, an adjacent RU list with good channel quality is maintained first, and then the baseband is combined, and only the information in the adjacent RU list corresponding to the RU_select of the current UE is used in the combination, thereby improving the accuracy, timeliness and transmission efficiency of the baseband combination and improving the use satisfaction of users.
In an alternative embodiment, in step S2, when the portion of RU whose identical preamble ID is detected next time is listed as the neighbor RU list for ru_select, the channel techniques of RU in the neighbor RU list are ordered.
In this embodiment, the number of RUs in the neighbor RU list is a fixed preset number or all RUs whose channel quality is higher than a set value. For example, the fixed preset number is 5, and all RUs with channel quality higher than the set value are all RUs with channel quality above a certain threshold.
In an alternative embodiment, after step S2, maintaining an inactivity timer for each RU in the neighbor RU list, and deleting any RU that is inactive for a preset time; if a new active RU exists within the preset time, adding the new RU to the adjacent RU list. The RUs in the neighbor RU list are re-detected by the UE or the UE baseband combining and reselection are successful, the inactivity timer is restarted. And updating RUs in the adjacent RU list by adding an inactivity timer so as to improve the real-time performance of EU access and improve the accuracy, timeliness and transmission efficiency of baseband merging.
When the UE baseband combined prediction method is applied to a global information acquisition scene, global information can be acquired through SRS channels, PUCCH channels and PUSCH channels. When the SRS channel and the PUCCH channel are acquired, only RUs in the adjacent RU list are configured for demodulation and reporting. And when global information is collected through the PUSCH, sequentially configuring RUs in the adjacent RU list to demodulate and report. Since the information of the PUSCH channel is relatively large, the RUs in the neighbor RU list are sequentially configured (i.e., the RUs with high channel quality are preferentially configured) to avoid uplink congestion.
Referring to fig. 2, fig. 2 is a schematic block diagram of a UE baseband combining prediction system according to an embodiment of the present application, where the identifying system may be configured in a server to perform the UE baseband combining prediction method described above.
As shown in fig. 2, the identification system includes 200, including: channel quality collection unit 201, setup list unit 202, and merging unit 203.
A channel quality collection unit 201, configured to collect channel quality of RU.
The list unit 202 is configured to select one RU with the best channel quality for the same preamble ID, denoted as ru_select, and list some or all of the remaining neighbor RUs that detect the same preamble ID as ru_select.
And the merging unit 203 is configured to perform baseband merging by the UE, and only acquire information in a neighbor RU list corresponding to the ru_select of the current UE during merging.
It should be noted that, for convenience and brevity of description, the specific working process of the above-described system and each unit may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
The system described above may be implemented in the form of a computer program which is executable on a computer device as shown in fig. 3.
Referring to fig. 3, fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device may be a server or a terminal.
With reference to FIG. 3, the computer device includes a processor, memory, and a network interface connected by a system bus, where the memory may include a non-volatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program comprises program instructions that, when executed, cause a processor to perform any one of the UE baseband combining prediction methods.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in a non-volatile storage medium, which when executed by a processor, causes the processor to perform any one of the UE baseband combining prediction methods.
The network interface is used for network communication such as transmitting assigned tasks and the like. It will be appreciated by those skilled in the art that the structure shown in FIG. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein in one embodiment the processor is configured to run a computer program stored in the memory to implement the steps of:
collecting channel quality of UE in different RUs; selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select; and the UE performs baseband merging, and only acquires information in a neighbor RU list corresponding to the RU_select of the current UE during merging.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, the computer program comprises program instructions, and the processor executes the program instructions to realize any one of the UE baseband combining prediction methods provided by the embodiment of the application.
The computer readable storage medium may be an internal storage unit of the computer device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, which are provided on the computer device.
While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims (8)

1. A UE baseband combining prediction method, comprising:
s1, collecting channel quality of UE in different RUs;
s2, selecting one RU with the best channel quality for the same preamble ID, marking the RU as RU_select, and listing part or all of the rest detected same preamble ID as an adjacent RU list of RU_select;
and S3, the UE performs baseband combination, and only acquires information in an adjacent RU list corresponding to the RU_select of the current UE during combination.
2. The UE baseband combining prediction of claim 1, wherein channel quality of RUs in a neighbor RU list is ordered when a portion of the next remaining detected same preamble ID is listed as ru_select.
3. The UE baseband combining prediction method according to claim 2, wherein the number of the neighbor RU list is a fixed preset number or all RUs having channel quality higher than a set value.
4. The UE baseband combining prediction method according to claim 1, wherein S2 further comprises maintaining an inactivity timer for each RU in the neighbor RU list, and deleting the RU for a preset period of inactivity; if new active RUs exist within the preset time, adding the new RUs into the adjacent RU list; wherein, RU in the neighbor RU list is re-detected by the UE or UE baseband combining and reselection is successful, the inactivity timer is restarted.
5. The UE baseband combining prediction method according to claim 1, wherein the method is applied to a global information acquisition scenario, and only RU demodulation and reporting in a neighbor RU list is configured when the UE acquires the UE through an SRS channel and a PUCCH channel; when global information is collected through PUSCH, RU demodulation and reporting in the neighbor RU list need to be configured in sequence.
6. A UE baseband combining prediction system, comprising:
a channel quality collection unit for collecting channel quality of RUs;
a list establishing unit, configured to select one RU with the best channel quality for the same preamble ID, denoted as ru_select, and list some or all of the remaining detected same preamble IDs as neighbor RU lists of ru_select;
and the merging unit is used for the UE to execute baseband merging, and only acquires the information in the adjacent RU list corresponding to the RU_select of the current UE during merging.
7. A computer device, the computer device comprising a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute the computer program and implement the UE baseband combining prediction method according to any of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, which when executed by a processor causes the processor to implement the UE baseband combining prediction method according to any of claims 1 to 5.
CN202111082021.9A 2021-09-15 2021-09-15 UE baseband combining prediction method, system, equipment and storage medium Active CN113708861B (en)

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