CN113260074B

CN113260074B - Uplink data processing method, system, device, equipment and storage medium

Info

Publication number: CN113260074B
Application number: CN202110801480.1A
Authority: CN
Inventors: 唐懿夫; 周楠清; 丁琦; 袁航
Original assignee: Chengdu Airui Wireless Technology Co ltd
Current assignee: Chengdu Airui Wireless Technology Co ltd
Priority date: 2021-07-15
Filing date: 2021-07-15
Publication date: 2022-04-22
Anticipated expiration: 2041-07-15
Also published as: CN113260074A

Abstract

The invention discloses an uplink data processing method, a system, a device, equipment and a storage medium, wherein the method comprises the following steps: generating an uplink data processing strategy based on the scheduling information; processing the multi-path uplink data according to the uplink data processing strategy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy. The invention generates the uplink data processing strategy through the scheduling information, thereby realizing the scheduling of the combination and/or selection of the uplink data.

Description

Uplink data processing method, system, device, equipment and storage medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method, a system, an apparatus, a device, and a storage medium for processing uplink data in a distributed base station system.

Background

For indoor coverage of wireless communications, distributed base stations are one of the most dominant deployment modalities today. The distributed base station has lower cost and high construction flexibility. The core of the initial distributed base station structure is to separate a conventional macro base station Baseband processing Unit (BBU) from a Radio frequency processing Unit (RU), and connect the two units through an optical fiber. In network deployment, the BBU, the core network and the wireless network indicating equipment are centralized in a machine room, and then are connected with the RUs deployed on the planning station through optical fibers to complete network coverage. Thereby reducing the construction cost and improving the efficiency. With the demands for increasing the communication range and reducing the construction cost, modules for forwarding and converging uplink and downlink data between the user and the base station are separated to form an Extended Unit (EU, also called rHub).

There are many options for the functionality split of a distributed base station based on the third generation partnership project (3 GPP) protocols. The most widely accepted distributed base station consists of three parts: the first part is a host unit (BBU or DU) which completes the modulation and demodulation of baseband signals, the second part is an expansion unit (EU or rHub) which forwards and merges uplink and downlink data, and the third part is a Remote Unit (RU) which receives and transmits uplink and downlink radio frequency signals.

Fig. 1 shows a schematic diagram of a protocol stack 100 of a physical layer (PHY layer), a medium access indication layer (MAC layer) and a radio resource indication layer (RRC layer) in an access network of a distributed base station.

First, Radio Resource management, indication, and scheduling are performed by a Radio Resource Control (RRC) protocol. Specifically, the following functions are mainly included: broadcasting of system information; paging information (paging); establishing and releasing RRC (radio Resource control) connection; transmitting NAS (Non-Access Stratum) information including session management, user management, security management, and charging management; transmitting AS (Access stratum) information including radio bearer management, radio channel processing and encryption; transmission of user radio access capability; configuring wireless resources; measurement configuration and reporting; and a movement indication.

Then, an ip (internet Protocol) header of an upper layer is compressed and decompressed through a Packet Data Convergence Protocol (PDCP), and user Data is transmitted and maintained. Meanwhile, encryption and decryption of user data and an indication plane protocol are supported, so that the integrity of the data is guaranteed.

Subsequently, the segmentation and retransmission services are provided to the user through a Radio Link Control (RLC).

Next, the Media Access Control (MAC) defines the way data frames are propagated, physical addressing and logical topology on the medium. For data transmission, the MAC protocol first determines whether data can be transmitted, and if so, the data and indication information are transmitted to the physical layer in a prescribed format. For data reception, the MAC protocol first determines whether there is a transmission error in the input information, and if there is no error, removes the indication information and sends it to the upper link.

Then, a data path is provided for the data side device through a Physical layer Protocol (PHY) to transmit data.

Finally, data is transmitted and received via a radio frequency link (RF chain).

Three units in the distributed base station: the functional partitioning of BBU (or DU), rHub (or EU), and RU, as a general understanding, is generally believed that BBU (or DU) will implement the processing functions of RRC, PDCP, High RLC (High-RLC), Low RLC (Low-RLC), High MAC (High-MAC), Low MAC (Low-MAC), and High PHY (High-PHY) protocol modules, rHub will implement the processing functions of Low PHY (Low-PHY) protocol modules, and RU will implement the processing functions of RF modules. But this division of functional blocks is not exclusive. For example, rHub can also perform High-PHY and MAC layer protocol processing.

As described above, rHub in the existing distributed base station system has a function of aggregating and forwarding data. In fact, when the rHub receives the upstream data of multiple RUs, or multiple RUs and other rhubs, or BBUs receives the upstream data of multiple rhubs:

if the data is only merged during uploading, for the rHub, if the data on the rHub without data transmission is also merged, background noise is raised; when the transmission of the uplink data uses a common public radio interface (CPRI interface) to transmit time domain data, multipath fading may be caused due to different time delays of different paths, however, when the transmission of the uplink data uses an enhanced common public radio interface (eccri interface) to transmit frequency domain data, a large amount of path resources are required for hardware implementation due to the need to convert the uncombined time domain data into frequency domain data to transmit on the eccri interface; additional information may be required for data merging, for example, an existing pre-stored domain or a new custom domain is required to indicate in the current CPRI or eccri interface, which may increase signaling load.

If only one path of data is selected for uploading during uploading, signal gain caused by combination cannot be obtained, and for the situation with low signal-to-noise ratio, the signal can even be submerged by noise; the useful signals are discarded due to the missing selection or the error selection of the signals when the data selection is carried out.

As described above, there are problems in selecting and combining uplink data in the conventional distributed base station system. Therefore, for the distributed base station system, it is necessary to provide a scheduling method for combining and/or selecting uplink data.

Disclosure of Invention

In view of the above drawbacks of the prior art, the present invention provides an uplink data processing method, system, apparatus, device and storage medium for a distributed base station system, which generate an uplink data processing policy through scheduling information, thereby implementing scheduling for combining and/or selecting uplink data.

In order to achieve the above object, an embodiment of the present invention provides an uplink data processing method, used in a distributed base station system, where the method includes: generating an uplink data processing strategy based on the scheduling information; processing the multi-path uplink data according to the uplink data processing strategy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The embodiment of the present invention further provides an uplink data processing system, which is used for a distributed base station system, and the system includes: the strategy generating node is used for generating an uplink data processing strategy based on the scheduling information; and the data processing node is used for processing the multi-path uplink data according to the uplink data processing strategy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The embodiment of the invention also provides an uplink data processing method, which is used for a distributed base station system and comprises the following steps: receiving scheduling information associated with multiple paths of uplink data; generating an uplink data processing strategy based on the scheduling information; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The embodiment of the present invention further provides an uplink data processing apparatus, which is used for a distributed base station system, and the apparatus includes: the receiving module is used for receiving scheduling information associated with the multipath uplink data; the generating module is used for generating an uplink data processing strategy based on the scheduling information; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The embodiment of the invention also provides an uplink data processing method, which is used for a distributed base station system and comprises the following steps: receiving an uplink data processing strategy; processing the multi-channel uplink data to be uploaded according to the uplink data processing strategy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

An embodiment of the present invention further provides an uplink data processing device, which is used in a distributed base station system, and the device includes: the receiving device is used for receiving the uplink data processing strategy and the multi-channel uplink data to be uploaded; and a processing device for processing the multi-path uplink data according to the uplink data processing strategy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for processing uplink data according to any of the above embodiments is implemented.

The method, the system, the device, the equipment and the storage medium for processing the uplink data have the advantages that the scheduling information indicates that data selection processing or data combination processing or data selection and data combination processing is carried out at a node (BBU or rHub) of multi-path data transmission, so that the transmission of the uplink data is scheduled.

Drawings

The technical solution and other advantages of the present invention will become apparent from the following detailed description of specific embodiments of the present invention, which is to be read in connection with the accompanying drawings.

Fig. 1 shows a schematic diagram of a protocol stack of a distributed base station.

Fig. 2A to fig. 2C respectively show schematic diagrams of networking topologies of the distributed base station system of the present invention.

Fig. 3 shows a block diagram of an uplink data processing system for a distributed base station system according to an embodiment of the present invention.

Fig. 4 is a flowchart illustrating an uplink data processing method for a distributed base station system according to an embodiment of the present invention.

Fig. 5A to 5D are schematic diagrams respectively illustrating data flows for performing uplink data processing on multiple paths of data according to different uplink data processing strategies according to embodiments of the present invention.

Fig. 6 shows a block diagram of an uplink data processing apparatus for a distributed base station system according to an embodiment of the present invention.

Fig. 7 shows a block diagram of an uplink data processing device for a distributed base station system according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the objects so described are interchangeable under appropriate circumstances. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover a non-exclusive inclusion. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware circuits or integrated circuits, or in different networks and/or processor means and/or micro-indicator means.

In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

The present invention will be described in further detail with reference to the accompanying drawings and detailed description, in order to make the objects, features and advantages thereof more comprehensible.

Fig. 2A to fig. 2C respectively show networking topology diagrams of the distributed base station system of the present invention. In particular, the distributed base station system comprises at least one host unit (BBU or DU) configured to be able to perform at least the processing of data in communication and to complete the modulation and demodulation of baseband signals, as an example only one host unit being shown in the figure; at least one extension unit (rHub) connected to the host unit and configured to perform at least forwarding and merging of uplink and downlink data; at least one Remote Unit (RU) coupled to the expansion unit and configured to perform at least reception and transmission of uplink and downlink radio frequency signals; and at least one communication terminal (not shown) configured to communicate directly with the remote unit.

As shown in fig. 2A to fig. 2C in sequence, the structure of the distributed base station system in this embodiment may be of the following three types: star distributed systems, chain distributed systems, and hybrid distributed systems. Specifically, as shown in fig. 2A, in a star distributed system, one BBU within the same cell connects one or more rhubs, each of which is connected to one or more RUs, and the rhubs may be interconnected; as shown in fig. 2B, in the chain-type distributed system, one BBU in the same cell is connected to one master rHub, the remaining multiple slave rhubs are communicated with the BBU through the rHub at the previous stage, each rHub is connected to one or more RUs, and the multiple rhubs may or may not have any difference in function (e.g., master rHub and slave rHub); as shown in fig. 2C, in the hybrid distributed system (i.e., combination of the star distributed system and the chain distributed system), one DU in the same cell is respectively connected to two rhubs, one rHub is connected to a third rHub other than the two rhubs, the third rHub is communicated with the DU through a previous-stage rHub, and each rHub is connected to one or more RUs.

Fig. 3 is a block diagram illustrating an uplink data processing system 200 for a distributed base station system according to an embodiment of the present invention. The upstream data processing system 200 includes: a policy generating node 210, configured to generate an uplink data processing policy based on the scheduling information; the data processing node 220 is configured to process multiple uplink data according to the uplink data processing policy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The data processing node 220 further includes an uplink data merging processing unit 221, an uplink data selecting processing unit 222, and an uplink data merging and selecting processing unit 223, where the uplink data merging processing unit 221 is configured to perform data merging processing on multiple paths of uplink data; the uplink data selection processing unit 222 is configured to perform data selection processing on multiple paths of uplink data; and the uplink data merging and selecting processing unit 223 is configured to perform data merging and data selecting processing on the multiple paths of uplink data.

The data processing node 220 further comprises a weight calculation unit 224, wherein the weight calculation unit 224 is configured to: when merging processing is performed on the uplink data based on at least one type of scheduling information, calculating respective weighted values of the multiple paths of uplink data based on a preset rule, performing weighting operation on the multiple paths of uplink data according to the weighted values, and then performing merging processing on the weighted multiple paths of uplink data.

In this embodiment, the policy generating node 210 and the data processing node 220 may be located in the same or different units of the distributed base station system, for example, the policy generating node 210 and the data processing node 220 may be located in a host unit at the same time, and the policy generating node 210 and the data processing node 220 may also be located in the host unit and an extension unit, respectively, which is not limited in this disclosure.

The following describes the uplink data processing method for the distributed base station system according to the present invention and the specific functions of each node and unit in the aforementioned uplink data processing system 200 in detail with reference to fig. 4.

Fig. 4 is a flowchart illustrating an uplink data processing method for a distributed base station system according to an embodiment of the present invention. The method comprises the following steps:

step S10, generating an uplink data processing policy based on the scheduling information, wherein the uplink data processing policy includes one of the following: an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy;

and step S20, processing the multipath uplink data according to the uplink data processing strategy.

Specifically, in conjunction with fig. 3, in step S10, the policy generation node 210 in the upstream data processing system 200 receives the scheduling information associated with uploading the multiple paths of upstream data. Wherein the scheduling information comprises at least one or more of the following information:

1. noise floor tolerance information: this information may indicate the maximum tolerable value of the noise floor directly or may indicate the tolerance of the noise floor indirectly, for example, by the noise floor level. The above-mentioned noise floor tolerance varies according to the communication service. For communication types where reliability requirements are relatively high, such as ultra-high reliability and low latency communication (URLLC), the noise floor is relatively low-tolerant. Whereas for communication types with relatively low reliability requirements (e.g., enhanced mobile broadband (eMBB)), the noise floor is relatively tolerant.

2. Uplink path number information: the information may indicate the maximum number of lanes on which upstream transmission may be performed in parallel, i.e. the information may be used to decide the number of lanes selected at the time of data combining and/or selection.

Number of rHub or RU information: when performing data merging processing, the number of RUs or rHub may determine a parameter of data merging when data is merged at rHub or BBU, respectively, for example, the number of merges; or when performing data selection processing, the number of RUs or rhubs may determine the number of lanes over which data is transmitted at the rHub or BBU, respectively.

4. Channel type information of transmission data: the uplink data channel may be a Physical Uplink Control Channel (PUCCH), or a Physical Uplink Shared Channel (PUSCH), or a Physical Random Access Channel (PRACH). Different channels are more or less tolerant to noise due to the amount of channel resources specified by the protocol and the reliability of decoding information transmitted on different channels. For example, the control channel occupies less resources and therefore needs to be decoded as successfully as possible as a precondition for decoding the shared channel, so the control channel is relatively low tolerant to noise.

5. Uplink signals: such as an uplink Sounding Reference Signal (SRS), a demodulation reference signal (DMRS) of PUCCH or PUSCH.

In addition to the above scheduling information, it may further include: geographic location information of rHub or RU, stage number information of rHub (for chain type and hybrid type distributed base station systems), and delay amount of multi-path time domain data.

After receiving the scheduling information, the policy generating node 210 in the uplink data processing system 200 generates an uplink data processing policy according to the scheduling information, where the uplink data processing policy includes an uplink data merging processing policy, an uplink data selection processing policy, or an uplink data merging and selection processing policy, where: the uplink data merging processing strategy comprises a first preset rule for executing data merging processing on the multi-path uplink data; the uplink data selection processing strategy comprises a second preset rule for executing data selection processing on the multi-path uplink data; and the uplink data merging and selecting processing strategy comprises at least one sub-strategy for executing data merging and data selecting processing on the multi-path uplink data. The uplink data merging processing strategy, the uplink data selection processing strategy, and the uplink data merging and selection processing strategy will be described in detail below.

In this embodiment, the uplink data merging processing policy generated based on the scheduling information includes at least one or more of the following first rules:

1. the number N of the combiners: for example, when there are M data paths in the uplink, all M data may be selected to be combined into one data (N = 1), or M data may be combined into N data (1 < N < M).

2. The selection mode of the combination: when the M-path data is combined into N (N > 1) -path data, all paths may participate in the combining process. For example, the M paths of data need to be combined into 2 paths of data, wherein the M/2 paths of data are combined into 1 path of data, and the rest M/2 paths of data are combined into 1 path of data. Or there may be paths not participating in the combining process, for example, if the M-path data needs to be combined into 2-path data, the M-1-path data is combined into 1-path data, and the remaining 1-path data is not combined and is used alone as 1-path data.

3. Weight of each path: a weight may be attached to the data for each lane when performing the merging on the data. For example, the location of the terminal and the resources used for wireless communication can be clarified by the scheduling information, and the influence of noise on the useful signal can be effectively reduced by adding a large weight to one of the useful signals and adding a small weight or zero-valued weight to the other of the useless signals or simple noise by using the information. Specifically, the weight calculating unit 224 of the uplink data processing system 200 calculates a weighted value W of each path data according to a preset rule, indicates the weighted value W to a unit (rHub or RU) of each relevant node in the distributed base station system, and when performing data combining, multiplies the weighted value first and then performs data combining. For example, the preset rule may include calculating a weight value W of each channel data according to an uplink reference signal (e.g., an uplink Sounding Reference Signal (SRS), a demodulation reference signal (DMRS) of a PUCCH or a PUSCH).

It should be noted that when selecting the path to be merged, it may be selected randomly or by the following exemplary rules:

(1) considering the amount of time delay: when data combination processing is carried out, time domain data with the difference value of the delay quantities within a certain range are combined through estimation of the delay quantities, and the influence caused by delay difference when different signals are combined can be reduced.

(2) Consider the geographical location of an RU or rHub: for example, since the relatively distant RUs or rHub may cause higher combining gain due to less mutual interference, the relatively distant RUs or rHub may be combined.

(3) Consider the correlation between RUs or rHub. For example, multiple RUs that do not belong to the same rHub are not merged.

It should be appreciated that the data combining process may be performed in the time domain as well as in the frequency domain. In addition, the above data merging manner and the configuration of the related parameters may be the same for each BBU and rHub in the same cell. Different data merging modes and configurations of related parameters can also be used for different BBU or rHub indications.

In this embodiment, the uplink data selection processing policy generated based on the scheduling information includes at least one or more of the following second rules:

1. the number K of transmitted lanes is selected. For example, for a total of M data paths in the uplink, K data paths in the M data paths are selected (1 ≦ K < M), and the remaining M-K data paths are discarded, wherein the discarded data may be unwanted signals or pure noise (e.g., noise higher than a preset threshold).

2. The selection of the path may include the following exemplary selection:

(1) the K channels of data with the highest signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR) are selected.

(2) And selecting data of all paths of which the SNR or the SINR exceeds a preset threshold value.

(3) According to the scheduling information, for example, if the uploaded data is time division multiplexed, the corresponding paths can be selected at different times.

In this embodiment, the data that is not selected and discarded may be all data on one path or may be part of data on one path. For example, when selecting frequency domain data, a part of the frequency domain data of the frequency band may be selected; in selecting the time domain data, the time domain data for a period of time may be selected.

It should be noted that the data selection process may be selected in the time domain or in the frequency domain, similar to the data merging process. In addition, the above data selection manner and configuration of the related parameters may be the same for each BBU and rHub in the same cell. Different data selection modes and configurations of relevant parameters can also be used for different BBU or rHub indications.

In this embodiment, the uplink data merging and selecting processing strategy generated based on the scheduling information at least includes a first sub-strategy for performing merging before selection on the multiple uplink data, a second sub-strategy for performing selecting before merging on the multiple uplink data, and a third sub-strategy for performing data merging on a part of the multiple uplink data and performing data selection on another part of the multiple uplink data. The specific method for performing the data merging processing or the data selecting processing may refer to the above description of the uplink data merging processing policy and the uplink data selecting processing policy, and is not described herein again. In addition, the order in which data selection and data combining are performed may be adjusted according to the requirements of the scheduling signal and the actual data transmission.

In this embodiment, the three uplink data processing strategies (i.e., the uplink data merging processing strategy, the uplink data selecting processing strategy, and the uplink data merging and selecting processing strategy) mainly perform switching according to the following decision parameters or restriction requirements, and the three strategies may be switched by the BBU or switched by issuing the decision parameters or restriction requirements to the rHub:

1. bottom noise tolerance: it may indicate the maximum tolerable value of the noise floor directly or may indicate the tolerance information of the noise floor indirectly by, for example, the noise floor level. The above-mentioned noise floor tolerance varies according to the communication service. For communication types where reliability requirements are relatively high, such as ultra-high reliability and low latency communication (URLLC), the noise floor is relatively low-tolerant. Whereas for communication types with relatively low reliability requirements (e.g., enhanced mobile broadband (eMBB)), the noise floor is relatively tolerant.

2. Number of upstream paths: it may indicate the maximum number of lanes on which upstream transmission may be performed in parallel, i.e. this information may determine the number of lanes selected at the time of data combining and/or selection.

Number of rHub or RU: when performing data merging processing, the number of RUs or rHub may determine a parameter of data merging when data is merged at rHub or BBU, respectively, for example, the number of merges; or when performing data selection processing, the number of RUs or rhubs may determine the number of lanes over which data is transmitted at the rHub or BBU, respectively.

4. Channel type of transmission data: the uplink data channel may be a Physical Uplink Control Channel (PUCCH), or a Physical Uplink Shared Channel (PUSCH), or a Physical Random Access Channel (PRACH). Different channels are more or less tolerant to noise due to the amount of channel resources specified by the protocol and the reliability of decoding information transmitted on different channels. For example, the control channel occupies less resources and therefore needs to be decoded as successfully as possible as a precondition for decoding the shared channel, so the control channel is relatively low tolerant to noise.

In addition to the above decision parameters, it may further include: geographic location information of rHub or RU, stage number information of rHub (for chain and hybrid distributed base station systems).

Specifically, switching the three uplink data processing strategies according to the determination parameter or the restriction requirement may specifically include the following examples:

in an example, when an rHub is connected with 8 RUs at most, and a path resource between the rHub and a BBU supports transmission of 4 paths of data at most, according to a restriction requirement of the path, the policy generation node 210 generates an uplink data merging processing policy and uploads 4 paths of data at most.

In the second example, when the rHub only supports data merging and does not support data selection, when the rHub can connect 8 RUs at most, one of the 8 data paths is noise, and the path resource between the rHub and the BBU supports transmission of 4 data paths at most, the policy generating node 210 generates an uplink data merging processing policy to upload 4 data paths at most. Meanwhile, the weight calculation unit 224 may generate weight value information to add a larger weight to a useful signal (non-noise path) in the multi-path data, and add a smaller weight or a zero value weight to a simple noise. When data combination is performed, the weighted value is multiplied before the data combination is performed, so that the influence of noise is reduced.

In the third example, in the case that the rHub supports data selection, when the rHub can connect 8 RUs at most, 4 paths of the 8 paths of data are noise, and at the same time, the path resource between the rHub and the BBU supports transmission of 4 paths of data at most, the policy generating node 210 generates the uplink data selection processing policy, and can directly select 4 paths of data for transmission of useful signals.

Fourth, rHub can connect up to 8 RUs and each data transmission has the same or different time delay, and the path resource between rHub and BBU supports up to 4 data transmissions. The policy generating node 210 generates an uplink data merging processing policy to upload 4 paths of data at most. The 8 paths of data to be merged are respectively S1, S2, … and S8, wherein the transmission delay of S1 is T1, the transmission delay of S2 is T1+ T, the transmission delays of S3, S4 and S5 are T1+2T, and the transmission delays of S6, S7 and S8 are T1+ 3T. It is assumed that when the delay difference of two time domain signals is in the range of τ (τ < T), the effect of delay can be neglected. In this case, the 4-way data uploaded would select S1, S2, the signals combined by S3, S4, S5, and the signals combined by S6, S7, S8. Because the delay differences of S1 and S2 with other signals are greater than τ, the delay differences between S3, S4, S5 (or S6, S7, S8) are less than τ. It should be understood that as a variation of the fourth example, if one of the 8 paths of data is noise, the noise may be directly discarded, and then the remaining 7 paths of data are merged according to the merging processing policy; or data selection and data merging can be performed simultaneously.

It should be understood that the configuration (selection and/or combination) of the uplink data processing policy may be a static configuration, for example, the processing method of data at a single node or unit (BBU and rHub) in the distributed base station system is fixed and unchangeable. The configuration (selection or combination) of the uplink data processing policy may also be a semi-static configuration, for example, the processing method of data at a single node or unit (BBU and rHub) in the distributed base station system is fixed and unchangeable within a time period. At a new time period, the method of data processing needs to be reconfigured. The configuration (selection or combination) of the uplink data processing policy may be dynamic configuration, for example, the processing method of data at a single node or unit (BBU and rHub) in the distributed base station system needs to be configured by the processing system in real time.

In step S20, the multiple uplink data are processed according to the uplink data processing policy. Specifically, after the data processing node 220 receives the multiple uplink data to be uploaded and the uplink data processing policy generated based on the scheduling information, the multiple uplink data are processed according to the uplink data processing policy. Specifically, fig. 5A to 5D respectively show schematic diagrams of data flows for performing uplink data processing on multiple paths of data according to different uplink data processing strategies. In the embodiment depicted in fig. 5A through 5D, the data processing node 220 that processes the multiple upstream data is within a rHub or BBU.

Fig. 5A shows a schematic diagram of data flow when performing multi-way data merging processing at BBUs and rhubs according to an embodiment of the present invention. In this embodiment, a cPRI interface is used between rHub and RU, and an eccri interface is used between BBU and rHub. The rHub receives the time domain data uploaded by the plurality of RUs, and the BBU receives the frequency domain data uploaded by the plurality of rhubs. The uplink data processing system 200 instructs the data processing manner at each unit (BBU and rHub) to be data merging, and the merged data path is 1. Specifically, the uplink data merging processing unit 221 in the data processing node 220 merges the multiple paths of time domain data received on each rHub into one path of time domain data according to the uplink data merging processing strategy. Next, after time-frequency transformation, the uplink data merging processing unit 221 in the data processing node 220 merges the multiple paths of frequency domain data received on the BBU into one path of frequency domain data.

Fig. 5B shows a schematic diagram of data flow when performing multi-path data weighted combining processing at the BBUs and rHub according to an embodiment of the present invention. In this embodiment, a CPRI interface is used between rHub and RU, and an eccri interface is used between BBU and rHub. The rHub receives the time domain data uploaded by the plurality of RUs, and the BBU receives the frequency domain data uploaded by the plurality of rhubs. The uplink data processing system 200 instructs the data processing manner at each unit (BBU and rHub) to be data merging, and the merged data path is 1. Specifically, the uplink data merging processing unit 221 in the data processing node 220 weights the multiple paths of time domain data received at each rHub according to the uplink data merging processing policy and merges the multiple paths of time domain data into one path of time domain data, and specifically, the uplink data merging processing unit 221 instructs each rHub to weight the time domain data of n1 RUs downstream from the rHub and merges the time domain data into one path of time domain data, and instructs the weighting value to be W_1,1, W_1,2, … W_1,n1Wherein W is_1,n1Represents the weighted value of the time domain data uploaded in the nth 1 RUs downstream of the first rHub. For different rhubs, the number of RUs downstream of the rHub and the weighting value of each RU may be different, for example, the uplink data merging processing unit 221 instructs the nm time domain data downstream of the mth rHub to be weighted and then merged into one path of time domain data, and instructs the weighting value to be W_m,1, W_m,2, … W_m,nmWherein W is_m,nmRepresents the weighted value of the time domain data uploaded by the nm RU downstream of the mth rHub. Next, after time-frequency transformation, the uplink data merging processing unit 221 in the data processing node 220 instructs the BBU to weight the multiple paths of frequency domain data received by the BBU from each rHub and then combine the multiple paths of frequency domain data into one path of frequency domain data, and instructs the weighted value to be W₁, W₂, … W_mWherein W is_mRepresents the weighted value of the frequency domain data uploaded by the mth rHub.

FIG. 5C shows a schematic diagram of data flow for multi-way data selection at the BBU and rHub, according to an embodiment of the present invention. In this embodiment, a CPRI interface is used between rHub and RU, and an eccri interface is used between BBU and rHub. The rHub receives the time domain data uploaded by the plurality of RUs, and the BBU receives the frequency domain data uploaded by the plurality of rhubs. The uplink data processing system 200 instructs the data processing manner at each unit (BBU and rHub) to select for data and depends on the strength of the signal-to-noise ratio SNR. Specifically, the uplink data selection processing unit 222 in the data processing node 220 selects, according to the uplink data selection processing strategy, data of a path in which the SNR value of the multipath signal received by each rHub or BBU is higher than a threshold value, and transmits the selected data to the next node or performs further data processing.

Fig. 5D shows a schematic diagram of a data flow for multi-way data selection and merging at BBUs and rhubs, according to an embodiment of the invention. In this embodiment, a CPRI interface is used between rHub and RU, and an eccri interface is used between BBU and rHub. The rHub receives the time domain data uploaded by the plurality of RUs, and the BBU receives the frequency domain data uploaded by the plurality of rhubs. The uplink data processing system 200 instructs the data processing manner at each unit (BBU and rHub) to be data selection and combination, and instructs the data selection processing to include data of which path is selected depending on the strength of the signal-to-noise ratio SNR. Specifically, the uplink data merging and selection processing unit 223 in the data processing node 220 may use different data processing methods for different nodes (BBU or rHub) according to the uplink data merging and selection processing policy, that is, perform data merging after data selection, or perform data selection after data merging before data selection, or perform merging processing on a part of data and perform selection processing on a part of the rest of data for multiple paths of data in the same node.

Since the CPRI or eccri interface is used for data transmission between the units (BBU and rHub) of the distributed base station system, the relevant information related to the scheduling may be stored in an ethernet packet of a control plane or a data plane for transmitting the CPRI or eccri. For example, the weight value information at the time of combining is added to the ethernet packet carrying the control plane information.

In another embodiment, an uplink data processing method is provided, where the uplink data processing method is used in a distributed base station system, and the method includes: receiving scheduling information associated with multiple paths of uplink data; generating an uplink data processing strategy based on the scheduling information; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The scheduling information includes one or more of: the tolerance of the background noise, the number of uplink paths, the number of extension units and remote units, the channel type of the transmission data, the uplink signals, the geographical positions of the extension units and the remote units, and the number of stages of the extension units.

The uplink data merging processing strategy comprises a first preset rule for executing data merging processing on the multi-path uplink data; the uplink data selection processing strategy comprises a second preset rule for executing data selection processing on the multi-path uplink data; and the uplink data merging and selecting processing strategy comprises at least one sub-strategy for executing data merging and data selecting processing on the multi-path uplink data. The uplink data merging and selecting processing strategy comprises a first sub-strategy for executing merging and then selecting on the multi-path uplink data, a second sub-strategy for executing selecting and then merging on the multi-path uplink data, and a third sub-strategy for executing data merging on one part of the multi-path uplink data and executing data selecting on the other part of the multi-path uplink data.

Wherein the first preset rule comprises at least one of: when the multi-channel uplink data are time domain data and the difference value of the time delay amount of each channel of time domain data is within a threshold range, merging the multi-channel time domain data; merging the uplink data from the devices with the geographic positions more than a threshold range; or the multi-path uplink data are merged according to the membership between the equipment for sending the multi-path uplink data and the equipment for processing the multi-path uplink data according to the first preset rule.

The second preset rule includes at least one of: selecting at least one uplink data meeting preset requirements from the multiple uplink data to be uploaded; or when the scheduling information indicates that at least one path of uplink data in the multiple paths of uplink data only includes noise or the noise is higher than a preset threshold, discarding the at least one path of uplink data, wherein discarding the at least one path of uplink data includes discarding all data or part of data in the at least one path of data.

It should be understood that, for specific steps of the uplink data processing method, reference may be made to the contents in the foregoing embodiments, and details are not described here.

Fig. 6 shows a block diagram of an uplink data processing apparatus 300 for a distributed base station system according to an embodiment of the present invention, where the uplink data processing apparatus 300 includes: a receiving module 310, configured to receive scheduling information associated with multiple uplink data; and a generating module 320, configured to generate an uplink data processing policy based on the scheduling information; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

It should be understood that the execution principle of each module in the uplink data processing apparatus 300 may specifically refer to the content in the foregoing embodiments, and is not described herein again.

In another embodiment, an uplink data processing method for a distributed base station system is provided, where the method includes: receiving an uplink data processing strategy; processing the multi-channel uplink data to be uploaded according to the uplink data processing strategy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

Wherein processing the plurality of uplink data according to the uplink data processing policy comprises one of: and performing data merging processing on the multi-channel uplink data according to an uplink data merging processing strategy, performing data selection processing on the multi-channel uplink data according to an uplink data selection processing strategy, and performing data merging and selection processing on the multi-channel uplink data according to an uplink data merging and selection processing strategy.

When data merging processing is executed, the weighted value of each of the multiple paths of uplink data is calculated based on a preset rule, and the weighted multiple paths of uplink data are merged after weighted operation is executed on the multiple paths of uplink data according to the weighted value.

Fig. 7 shows a block diagram of an uplink data processing apparatus 400 for a distributed base station system according to an embodiment of the present invention, where the uplink data processing apparatus 400 includes: a receiving device 410, configured to receive an uplink data processing policy and multiple paths of uplink data to be uploaded; and a processing device 420, configured to process the multiple uplink data according to the uplink data processing policy; wherein the uplink data processing strategy comprises one of the following: the system comprises an uplink data merging processing strategy, an uplink data selection processing strategy and an uplink data merging and selection processing strategy.

The processing device 420 comprises: an uplink data merging processing element 421, configured to perform data merging processing on the multiple paths of uplink data when the uplink data processing policy includes an uplink data merging processing policy; an uplink data selection processing element 422, configured to perform data selection processing on the multiple paths of uplink data when the uplink data processing policy includes an uplink data selection processing policy; and an uplink data merging and selecting processing element 423, configured to perform data merging and data selecting processing on the multiple uplink data when the uplink data processing policy includes an uplink data merging and selecting processing policy.

The upstream data processing apparatus 400 further comprises a computing element 424, the computing element 424 being configured to: and when the multi-path uplink data are subjected to merging processing, calculating respective weighted values of the multi-path uplink data based on a preset rule, and performing weighting operation on the multi-path uplink data according to the weighted values and then performing merging processing on the weighted multi-path data.

It should be understood that the implementation principle of each device and element in the uplink data processing apparatus 400 for a distributed base station system may specifically refer to the content in the foregoing embodiments, and is not described herein again.

In another embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements any of the above-described uplink data processing methods for a distributed base station system.

For specific limitations and implementation of the above steps, reference may be made to an embodiment of an uplink data processing method for a distributed base station system, which is not described herein again.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The method, system, apparatus, device and storage medium for processing uplink data of a distributed base station system according to the embodiments of the present invention are described in detail above, and a specific example is applied in the description to explain the principle and implementation manner of the present invention, and the description of the above embodiments is only used to help understanding the technical solution and the core idea of the present invention; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An uplink data scheduling method for a distributed base station system, the method comprising:

in the distributed base station system, generating an uplink data processing strategy at a node of multi-path data transmission based on scheduling information indication; and

processing the multi-path uplink data according to the uplink data processing strategy;

wherein the uplink data processing strategy comprises one of the following: an uplink data selection processing strategy and an uplink data combination and selection processing strategy;

the uplink data selection processing strategy generated based on the scheduling information comprises:

selecting the number K of the transmission paths based on the indicated maximum number of the paths capable of performing uplink transmission in parallel;

selecting K paths of data with the highest signal-to-noise ratio or signal-to-interference-plus-noise ratio in the M paths of uplink data, wherein K is more than or equal to 1 and is less than M; alternatively, the first and second electrodes may be,

selecting data of all channels of which the signal-to-noise ratio or the signal-to-interference-plus-noise ratio in the M channels of uplink data exceeds a certain preset threshold;

the uplink data merging and selection processing strategy generated based on the scheduling information comprises the following steps:

selecting the number of paths for transmission based on the indicated maximum number of paths on which uplink transmission can be performed in parallel;

selecting and combining multiple paths of uplink data in the uplink data with the time delay difference within a preset range; alternatively, the first and second electrodes may be,

the method comprises the steps of selecting and discarding data of at least one path with a signal-to-noise ratio lower than a certain preset threshold value based on a preset rule, and then selecting and combining multiple paths of uplink data in the remaining uplink data with the time delay difference within a preset range.

2. The uplink data scheduling method for a distributed base station system as claimed in claim 1, wherein the uplink data combining and selecting processing strategy further comprises:

and executing a sub-strategy of selecting first and then merging on the multi-path uplink data, and executing a sub-strategy of executing data merging on one part of the multi-path uplink data and executing data selection on the other part of the multi-path uplink data.

3. The uplink data scheduling method for a distributed base station system according to claim 1, wherein the scheduling information includes one or more of the following: the tolerance of the background noise, the number of uplink paths, the number of extension units and remote units, the channel type of the transmission data, the uplink signals, the geographical positions of the extension units and the remote units, and the number of stages of the extension units.

4. The uplink data scheduling method for a distributed base station system according to claim 1,

the uplink data selection processing strategy comprises a second preset rule for executing data selection processing on the multi-path uplink data; and

the uplink data merging and selecting processing strategy comprises the step of executing data merging and data selecting processing on the multipath uplink data.

5. The uplink data scheduling method for the distributed base station system as claimed in claim 4, wherein the second predetermined rule includes at least one of:

selecting at least one uplink data meeting preset requirements from the multiple uplink data to be uploaded; or

And when the scheduling information indicates that at least one piece of uplink data in the multiple paths of uplink data only comprises noise or the noise is higher than a preset threshold value, discarding the at least one piece of uplink data.

6. The method as claimed in claim 4, wherein when the data combining process is performed, the method further comprises calculating a weighted value of each of the multiple uplink data based on a predetermined rule, performing a weighting operation on the multiple uplink data according to the weighted value, and then performing the combining process on the weighted multiple uplink data.

7. The uplink data scheduling method for a distributed base station system according to claim 4, wherein when performing data selection processing, all or part of the data of one of the multiple uplink data paths is selected to be uploaded.

8. The uplink data scheduling method for a distributed base station system as claimed in claim 1, wherein the device for processing the multiple uplink data is a host unit or an extension unit.

9. An uplink data scheduling system for a distributed base station system, the system comprising:

the strategy generating node is used for generating an uplink data processing strategy at the node of the multi-channel data transmission based on the scheduling information indication; and

the data processing node is used for processing the multi-path uplink data according to the uplink data processing strategy;

selecting data of all channels with signal-to-noise ratios or signal-to-interference-plus-noise ratios exceeding a certain preset threshold in the M channels of uplink data;

10. The uplink data scheduling system for a distributed base station system according to claim 9, wherein the data processing node comprises:

the uplink data selection processing unit is used for performing data selection processing on the multipath uplink data when the uplink data processing strategy comprises an uplink data selection processing strategy; and

and the uplink data merging and selecting processing unit is used for executing data merging and data selecting processing on the multi-path uplink data when the uplink data processing strategy comprises an uplink data merging and selecting processing strategy.

11. The uplink data scheduling system for a distributed base station system as claimed in claim 10, wherein the data processing node further comprises a weight calculation unit, wherein the weight calculation unit is configured to:

and when the multi-path uplink data are subjected to merging processing, calculating respective weighted values of the multi-path uplink data based on a preset rule, and performing weighting operation on the multi-path uplink data according to the weighted values and then performing merging processing on the weighted multi-path data.

12. An uplink data processing strategy generating method for a distributed base station system is characterized by comprising the following steps:

receiving scheduling information associated with multiple paths of uplink data; and

generating an uplink data processing strategy based on the scheduling information;

13. The method for generating uplink data processing strategy for distributed base station system according to claim 12, wherein the uplink data combining and selecting processing strategy further comprises:

14. The method of claim 12, wherein the scheduling information comprises one or more of the following: the tolerance of the background noise, the number of uplink paths, the number of extension units and remote units, the channel type of the transmission data, the uplink signals, the geographical positions of the extension units and the remote units, and the number of stages of the extension units.

15. The uplink data processing strategy generating method for a distributed base station system according to claim 12,

16. The method for generating uplink data processing policy for distributed base station system according to claim 15, wherein the second preset rule includes at least one of:

And when the scheduling information indicates that at least one piece of uplink data in the multiple paths of uplink data only comprises noise or the noise is higher than a preset threshold value, discarding the at least one piece of uplink data, wherein discarding the at least one piece of uplink data comprises discarding all data or part of data in the at least one piece of uplink data.

17. An uplink data processing strategy generating device for a distributed base station system, the device comprising:

the receiving module is used for receiving scheduling information associated with the multipath uplink data; and

a generating module, configured to generate an uplink data processing policy at a node of the multi-path data transmission based on the scheduling information indication;

18. An uplink data processing method for a distributed base station system, the method comprising:

receiving an uplink data processing strategy; and

processing the multi-path uplink data to be uploaded according to the uplink data processing strategy;

the uplink data selection processing strategy comprises the following steps:

the uplink data merging and selecting processing strategy comprises the following steps:

selecting and discarding data of at least one path with a signal-to-noise ratio lower than a certain preset threshold value based on a preset rule, and then selecting and combining multiple paths of uplink data in the remaining uplink data with the time delay difference within a preset range;

the uplink data selection processing strategy and the uplink data combination and selection processing strategy are respectively generated based on scheduling information.

19. The uplink data processing method for the distributed base station system as claimed in claim 18, wherein processing the plurality of uplink data according to the uplink data processing policy comprises: and performing data selection processing on the multi-path uplink data according to the uplink data selection processing strategy, and performing data merging and selection processing on the multi-path uplink data according to the uplink data merging and selection processing strategy.

20. The method as claimed in claim 19, wherein when the data combining process is performed, the method further comprises calculating a weighted value of each of the multiple uplink data based on a predetermined rule, performing a weighting operation on the multiple uplink data according to the weighted value, and then performing the combining process on the weighted multiple uplink data.

21. An uplink data processing apparatus for a distributed base station system, the apparatus comprising:

the receiving module is used for receiving the uplink data processing strategy and the multi-channel uplink data to be uploaded; and

the processing module is used for processing the multi-path uplink data according to the uplink data processing strategy;

the uplink data selection processing strategy comprises the following steps:

22. The uplink data processing apparatus for the distributed base station system according to claim 21, wherein the processing module includes:

23. The apparatus for processing uplink data of a distributed base station system according to claim 22, wherein said apparatus further comprises a calculating module, said calculating module is configured to:

24. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when executed by a processor, the computer program implements the uplink data scheduling method for a distributed base station system according to any one of claims 1 to 8.

25. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method for generating an uplink data processing policy for a distributed base station system according to any one of claims 12 to 16 is implemented.

26. A computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the computer program implements the uplink data processing method for a distributed base station system according to any one of claims 18 to 20.