CN113708861A - UE baseband combination prediction method, system, computer equipment and storage medium - Google Patents

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

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Publication number
CN113708861A
CN113708861A CN202111082021.9A CN202111082021A CN113708861A CN 113708861 A CN113708861 A CN 113708861A CN 202111082021 A CN202111082021 A CN 202111082021A CN 113708861 A CN113708861 A CN 113708861A
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list
baseband
select
channel quality
adjacent
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CN113708861B (en
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任恩贤
周国勇
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Shenzhen Jiaxian Communication Equipment Co ltd
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Shenzhen Jiaxian Communication Equipment 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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  • Quality & Reliability (AREA)
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Abstract

The application relates to the technical field of communication, and aims to improve accuracy, timeliness and transmission efficiency of baseband combination. Specifically disclosed are a UE baseband combination prediction method, a system, a computer device and a storage medium, wherein the method comprises the following steps: collecting channel quality of RUs; selecting an RU with the best channel quality for the same preamble ID, recording 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 executes baseband combination, and only acquires the information in the adjacent RU list corresponding to the RU _ Select of the current UE during combination.

Description

UE baseband combination prediction method, system, computer equipment and storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a UE baseband merging prediction method, a system, a computer device, and a storage medium.
Background
The separation between the use of the nFAPI interface for communication between the DU and RU in the 5G O-RAN is called option6, when the DU contains the RLC and MAC and the RU contains the PHY, RF and antenna. Wherein one DU can connect multiple RUs through EU. On the other hand, GPON is a broadband access technology commonly adopted by large-scale operators at present, and if a 5G GPON 6 base station forwards by using the existing GPON transmission network, 5G network construction cost can be greatly saved.
This scenario 5G base station needs to share bandwidth with the GPON existing traffic. The problem of uplink congestion needs to be solved by combining the N-from-M base bands, the accuracy, timeliness and transmission efficiency of combining the N-from-M base bands directly determine the uplink service experience of the 5G user, and the prediction method for improving the base band combining quality is provided by the patent.
Disclosure of Invention
The application provides a UE baseband combination prediction method, a system, computer equipment and a storage medium, 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 merging prediction method, where the method includes:
collecting channel quality of UE in different RUs;
selecting an RU with the best channel quality for the same preamble ID, recording 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 executes baseband combination, and only acquires the information in the adjacent RU list corresponding to the RU _ Select of the current UE during combination.
In a second aspect, the present application further provides a UE baseband merging prediction system, including:
a channel quality collecting unit for collecting channel quality of RUs;
a list establishing unit, configured to select an RU with the best channel quality for the same preamble ID, which is recorded as RU _ select, and list part or all of the rest detected same preamble ID as an adjacent RU list 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 further 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 to implement the UE baseband merging 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 the UE baseband merging prediction method as described above.
The application discloses a UE baseband merging prediction method, a system, equipment and a storage medium, which are used for predicting the UE baseband merging prediction by collecting the channel quality of RUs; selecting an RU with the best channel quality for the same preamble ID, recording 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 executes baseband combination, and only acquires the information in the adjacent RU list corresponding to the RU _ Select of the current UE during combination. The method and the device are used for improving the prediction of the baseband combination quality, so that the accuracy, timeliness and transmission efficiency of baseband combination are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a UE baseband merging prediction method provided in an embodiment of the present application;
fig. 2 is a schematic block diagram of a UE baseband merging prediction system according to an embodiment of the present disclosure;
fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Some nouns are explained first below. The nAPI is an interface communication mode, UE is user equipment, DU is a distribution unit, EU is an extension unit, RU is a remote unit extended by EU, SINR is a signal to interference plus noise ratio, PUCCH is a physical uplink control channel, PUSCH is a physical uplink shared channel, SRS is a signal detection reference signal, RSSI is a received signal strength indication, BBU is a baseband processing unit, OAM is an operation maintenance management system of a network, GPON is a gigabit passive optical network or a gigabit passive optical network, GPON technology is a latest generation broadband passive optical integrated access standard based on ITU-TG.984.x standard, and the system has the advantages of high bandwidth, high efficiency, large coverage range, rich user interfaces and the like.
The embodiment of the application provides a UE baseband merging prediction method, a system, computer equipment and a storage medium. The UE baseband combination prediction method can be applied to a terminal or a server to improve the prediction of baseband combination quality, so that the accuracy, timeliness and transmission efficiency of baseband combination are improved. The method is applied to a scene of 5G option6+ GPon, the DU and the RU communicate through an nAPI interface, and the existing GPON transmission network is used for transmission.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a UE baseband merging prediction method according to an embodiment of the present application. The identification method includes steps S1 through S3.
And S1, collecting the channel quality of the UE in different RUs.
S2, selecting an RU with the best channel quality for the same preamble ID, and marking as RU _ select, and listing part or all of the rest detected with the same preamble ID as the neighboring RU list of RU _ select.
S3, the UE performs baseband combination, and only acquires information in the neighboring RU list corresponding to the RU _ Select of the current UE during combination.
The baseband combination method provided by the above embodiment collects the channel quality of the RU; selecting an RU with the best channel quality for the same preamble ID, recording 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 executes baseband combination, and only acquires the information in the adjacent RU list corresponding to the RU _ Select of the current UE during combination. According to the method and the device, when the base bands are combined, one adjacent RU list with good channel quality is maintained firstly, then the base bands are combined, and only the information in the adjacent RU list corresponding to the RU _ Select of the current UE is used during combination, so that the accuracy, the timeliness and the transmission efficiency of the base band combination are improved, and the use satisfaction degree of a user is improved.
In an alternative embodiment, the channel techniques of the RUs in the neighboring RU list are sorted when the next remaining part of the RU detecting the same preamble ID is listed as the neighboring RU list for RU _ select in step S2.
In this embodiment, the number of RUs in the adjacent RU list is a fixed predetermined number or all RUs having a channel quality higher than a predetermined value. For example, the fixed preset number is 5, and all RUs whose channel quality is higher than the set value are all RUs whose channel quality is above a certain threshold.
In an alternative embodiment, step S2 is followed by maintaining an inactivity timer for each RU in the neighboring RU list, and deleting any RU if the RU is inactive for a preset time; if a new active RU exists within a preset time, the new RU is added to the neighboring RU list. And the RUs in the adjacent RU list are re-detected by the UE or the UE baseband combination reselection is successful, and the inactivity timer is restarted. The RUs in the adjacent RU list are updated by adding the inactivity timer so as to improve the real-time performance of EU access, and further improve the accuracy, timeliness and transmission efficiency of baseband combination.
When the UE baseband combination prediction method is applied to a global information acquisition scene, the global information can be acquired through an SRS channel, a PUCCH channel and a PUSCH channel. When the signals are acquired through the SRS channel and the PUCCH channel, only the RUs in the adjacent RU list are configured to demodulate and report. When the global information is collected through a PUSCH, RUs in an adjacent RU list are configured in sequence to demodulate and report. Since the information of the PUSCH channel is relatively large, RUs in the adjacent RU list are sequentially configured (i.e., 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 merging prediction system according to an embodiment of the present application, where the identification system may be configured in a server for executing the UE baseband merging prediction method.
As shown in fig. 2, the identification system includes 200, including: a channel quality collection unit 201, a build list unit 202 and a merging unit 203.
A channel quality collecting unit 201 for collecting channel quality of the RU.
A list establishing unit 202, configured to select an RU with the best channel quality for the same preamble ID, which is recorded as RU _ select, and list part or all of the remaining detected preambles as a list of neighboring RUs of RU _ select.
A merging unit 203, configured to perform baseband merging on the UE, and acquire only information in an adjacent RU list corresponding to the RU _ Select of the current UE during merging.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the system and the units described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The system described above may be implemented in the form of a computer program which may be run on a computer device as shown in figure 3.
Referring to fig. 3, fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present disclosure. The computer device may be a server or a terminal.
Referring to fig. 3, the computer device includes a processor, a memory, and a network interface connected through a system bus, wherein the memory may include a nonvolatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause a processor to perform any one of the UE baseband combining prediction methods.
The processor is used for providing calculation and control capability and supporting the operation of the whole computer equipment.
The internal memory provides an environment for the execution of a computer program on a non-volatile storage medium, which when executed by the 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 sending assigned tasks and the like. Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. Wherein a 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 execute a computer program stored in the memory to implement the steps of:
collecting channel quality of UE in different RUs; selecting an RU with the best channel quality for the same preamble ID, recording 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 executes baseband combination, and only acquires the information in the adjacent RU list corresponding to the RU _ Select of the current UE during combination.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, where the computer program includes program instructions, and the processor executes the program instructions to implement any UE baseband combination prediction method provided in the embodiment of the present application.
The computer-readable storage medium may be an internal storage unit of the computer device described in 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), and the like provided on the computer device.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (8)

1. A UE baseband combination prediction method is characterized by comprising the following steps:
s1, collecting the channel quality of UE in different RUs;
s2, selecting an RU with the best channel quality for the same preamble ID, recording 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;
s3, the UE performs baseband combination, and only acquires information in the neighboring RU list corresponding to the RU _ Select of the current UE during combination.
2. The UE baseband merging prediction according to claim 1, wherein when the next remaining part detecting the same preamble ID is listed as a neighboring RU list for RU _ select, the channel quality of the RUs in the neighboring RU list is sorted.
3. The UE baseband combination prediction method of claim 2, wherein the number of the neighboring RU list is a fixed preset number or all RUs with channel quality higher than a set value.
4. The UE baseband merging prediction method of claim 1, wherein the S2 further comprises maintaining an inactivity timer for each RU in the neighboring RU list, and deleting an RU if the RU is inactive for a preset time; if a new active RU exists within a preset time, adding the new RU to the adjacent RU list; and restarting the inactivity timer if the RU in the adjacent RU list is re-detected by the UE or the UE baseband combination reselection is successful.
5. The UE baseband merging prediction method of claim 1, wherein the method is applied to a global information acquisition scenario, and when the UE baseband merging prediction method is acquired through an SRS channel and a PUCCH channel, only RUs in an adjacent RU list are configured to demodulate and report; when collecting global information through the PUSCH, RUs in the adjacent RU list need to be configured in sequence to demodulate and report.
6. A UE baseband combining prediction system, comprising:
a channel quality collecting unit for collecting channel quality of RUs;
a list establishing unit, configured to select an RU with the best channel quality for the same preamble ID, which is recorded as RU _ select, and list part or all of the rest detected same preamble ID as an adjacent RU list 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, wherein the computer device comprises a memory and a processor;
the memory is used for storing a computer program;
the processor configured to execute the computer program and to implement the UE baseband merging prediction method according to any of claims 1 to 5 when executing the computer program.
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 one 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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