CN115835339A

CN115835339A - Collaborative computing method, device and system

Info

Publication number: CN115835339A
Application number: CN202310153950.7A
Authority: CN
Inventors: 王晓云; 孟令同; 邓伟; 江天明; 何继伟
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Communications Ltd Research Institute
Priority date: 2023-02-23
Filing date: 2023-02-23
Publication date: 2023-03-21
Anticipated expiration: 2043-02-23
Also published as: CN115835339B

Abstract

The invention provides a cooperative computing method, a device and a system, which relate to the technical field of communication, wherein the method comprises the following steps: the target cluster node determines a target RN for performing collaborative aggregation calculation based on the target channel state quality reported by the terminal, wherein the target RN comprises at least two RNs in the RNs; the target cluster node sends a notification message to the target RN through the aggregation layer equipment, and the notification message is used for notifying the target RN to carry out collaborative aggregation calculation; performing collaborative aggregation calculation on the basis of terminal service data sent by a target RN by a target cluster node; the target cluster node is one cluster node in a plurality of cluster nodes in the cooperative computing system, the cooperative computing system further comprises aggregation layer equipment and a plurality of RNs, and each cluster node comprises at least two BBUs. The embodiment of the invention can improve the performance of the computing cooperative mobile access network.

Description

Collaborative computing method, device and system

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method, an apparatus, and a system for collaborative computing.

Background

The radio access network architecture C-RAN is widely applied to 5G, and the architecture breaks through the inter-station cooperative processing limitation under the traditional fully distributed architecture of one Base station and one machine room around the design concepts of centralization (centralization), pooling (Cloud), cooperation (Coordination) and green (Clean), and realizes a multi-station and one machine room, wherein a Base Band Unit (BBU) is centralized in a central machine room.

Although the C-RAN mobile access network architecture can improve the spectrum efficiency of the system by using the wireless remote module and the antenna, the cooperative computing architecture has the problem of limited cooperative range. As shown in fig. 1, a cooperative computing architecture in the related art is an architecture in which N Remote Radio Units (RRUs)/Active Antenna processing units (AAUs) correspond to one Centralized BBU (C-BBU), so that aggregation computing between N RRUs/AAUs directly connected to a single C-BBU can only be performed, and thus performance of a computing cooperative mobile access network is poor.

Disclosure of Invention

The embodiment of the invention provides a cooperative computing method, a device and a system, which aim to solve the problem of poor performance of the conventional computing cooperative mobile access network.

In order to solve the technical problem, the invention is realized as follows:

in a first aspect, an embodiment of the present invention provides a cooperative computing method, which is applied to a target cluster node in a cooperative computing system, where the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes aggregation layer equipment and a plurality of RNs, each cluster node includes at least two baseband processing units BBUs, and each RN includes at least two remote radio units RRU or at least two active antenna processing units AAU, and the method includes:

determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the RNs;

sending a notification message to the target RN through the aggregation layer equipment, wherein the notification message is used for notifying the target RN to carry out collaborative aggregation calculation;

and performing collaborative aggregation calculation based on the terminal service data sent by the target RN.

Optionally, the determining, based on the target channel state quality reported by the terminal, the target RN for performing the cooperative aggregation calculation includes:

determining the spectrum efficiency of cooperative aggregation calculation based on the channel state quality of a terminal neighboring cell reported by a terminal or the channel state quality of an uplink reference signal (SRS);

and determining a target RN for performing cooperative aggregation calculation based on the spectral efficiency of the cooperative aggregation calculation.

Optionally, the determining the spectrum efficiency of the cooperative aggregation calculation based on the channel state quality of the terminal neighboring cell reported by the terminal or the channel state quality of the uplink reference signal SRS includes:

determining whether to start cooperative aggregation calculation based on an A3 event measurement result reported by a terminal;

and under the condition that the cooperative aggregation calculation is determined to be started, determining the spectrum efficiency of the cooperative aggregation calculation based on the channel state quality of the terminal adjacent cell reported by the terminal or the channel state quality of the uplink reference signal SRS.

Optionally, the target RN is an RN that receives the target channel state quality reported by the terminal.

Optionally, the performing collaborative aggregation calculation based on the terminal service data sent by the target RN includes:

receiving terminal service data sent by the target RN through the aggregation layer equipment;

determining a cooperative cluster node for performing cooperative aggregation calculation, wherein the cooperative cluster node is a cluster node in the plurality of cluster nodes;

and performing collaborative aggregation calculation on the terminal service data based on the collaborative cluster nodes.

Optionally, the performing collaborative aggregation calculation on the terminal service data based on the collaborative cluster node includes:

sending first service data to the cooperative cluster node through the aggregation layer device, wherein the first service data is at least part of service data in the terminal service data;

and executing calculation operation based on second service data, wherein the second service data is service data except the first service data in the terminal service data.

Optionally, the determining a cooperative cluster node for performing cooperative aggregation computation includes:

determining cooperative cluster nodes for performing cooperative aggregation calculation under the condition that the number of terminals connected with the target cluster nodes is greater than a first preset threshold or the residual calculation power of the target cluster nodes is less than a second preset threshold;

the number of terminals connected with the cooperative cluster nodes is smaller than a third preset threshold, the residual calculation power of the cooperative cluster nodes is larger than that of the target cluster nodes, and the calculation force difference between the cooperative cluster nodes and the target cluster nodes is larger than a fourth preset threshold.

In a second aspect, an embodiment of the present invention provides a cooperative computing method, which is applied to a target RN in a cooperative computing system, where the cooperative computing system includes multiple RNs, the target RN includes at least two RNs in the multiple RNs, the cooperative computing system further includes a aggregation layer device and multiple cluster nodes, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, and the method includes:

receiving a notification message sent by a target cluster node through aggregation layer equipment, wherein the notification message is used for notifying the target RN to perform collaborative aggregation calculation, and the target cluster node is a cluster node in the collaborative calculation system;

receiving terminal service data sent by a terminal based on the notification message;

and sending the terminal service data to the target cluster node through the aggregation layer equipment.

In a third aspect, an embodiment of the present invention provides a cooperative computing method, which is applied to aggregation layer devices in a cooperative computing system, where the cooperative computing system further includes multiple RNs and multiple cluster nodes, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, and the method includes:

receiving a notification message sent by a target cluster node, where the notification message is used to notify a target RN to perform cooperative aggregation calculation, the target cluster node is one of the multiple cluster nodes, and the target RN includes at least two RNs of the multiple RNs;

sending the notification message to the target RN;

and receiving the terminal service data sent by the target RN, and sending the terminal service data to the target cluster node.

In a fourth aspect, an embodiment of the present invention provides a cooperative computing apparatus, where a target cluster node in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes aggregation layer equipment and a plurality of RNs, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, and the apparatus includes:

a determining module, configured to determine, based on a target channel state quality reported by a terminal, a target RN for performing cooperative aggregation calculation, where the target RN includes at least two RNs in the multiple RNs;

a sending module, configured to send a notification message to the target RN through the aggregation layer device, where the notification message is used to notify the target RN to perform cooperative aggregation calculation;

and the calculation module is used for performing collaborative aggregation calculation based on the terminal service data sent by the target RN.

Optionally, the determining module includes:

the first determining unit is used for determining the spectrum efficiency of the collaborative aggregation calculation based on the channel state quality of the terminal neighboring cell reported by the terminal or the channel state quality of the uplink reference signal SRS;

and a second determining unit, configured to determine a target RN for performing cooperative aggregation calculation based on the spectral efficiency of the cooperative aggregation calculation.

Optionally, the first determining unit is specifically configured to:

Optionally, the calculation module comprises:

a receiving unit, configured to receive, through the aggregation layer device, terminal service data sent by the target RN;

a third determining unit, configured to determine a cooperative cluster node for performing cooperative aggregation calculation, where the cooperative cluster node is a cluster node in the multiple cluster nodes;

and the computing unit is used for performing collaborative aggregation computation on the terminal service data based on the collaborative cluster nodes.

Optionally, the computing unit is specifically configured to:

Optionally, the third determining unit is specifically configured to:

In a fifth aspect, an embodiment of the present invention provides a cooperative computing apparatus, where a target RN in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes multiple RNs, the target RN includes at least two RNs in the multiple RNs, the cooperative computing system further includes aggregation layer equipment and multiple cluster nodes, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, and the apparatus includes:

a first receiving module, configured to receive, through aggregation layer equipment, a notification message sent by a target cluster node, where the notification message is used to notify the target RN to perform cooperative aggregation calculation, and the target cluster node is one cluster node in the multiple cluster nodes;

a second receiving module, configured to receive terminal service data sent by a terminal based on the notification message;

and the sending module is used for sending the terminal service data to the target cluster node through the aggregation layer equipment.

In a sixth aspect, an embodiment of the present invention provides a cooperative computing apparatus, where an aggregation layer device in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system further includes a plurality of RNs and a plurality of cluster nodes, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, and the apparatus includes:

a first receiving module, configured to receive a notification message sent by a target cluster node, where the notification message is used to notify a target RN to perform cooperative aggregation calculation, the target cluster node is one of the multiple cluster nodes, and the target RN includes at least two RNs in the multiple RNs;

a sending module, configured to send the notification message to the target RN;

and the second receiving module is used for receiving the terminal service data sent by the target RN and sending the terminal service data to the target cluster node.

In a seventh aspect, an embodiment of the present invention provides a cooperative computing apparatus, where a target cluster node in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes aggregation layer equipment and a plurality of RNs, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, the cooperative computing apparatus includes a transceiver and a processor,

the processor is configured to: determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the RNs;

the transceiver is configured to: sending a notification message to the target RN through the aggregation layer equipment, wherein the notification message is used for notifying the target RN to carry out collaborative aggregation calculation;

the processor is further configured to: and performing collaborative aggregation calculation based on the terminal service data sent by the target RN.

Optionally, the processor is specifically configured to:

Optionally, the transceiver is specifically configured to: receiving terminal service data sent by the target RN through the aggregation layer equipment;

the processor is specifically configured to: determining a cooperative cluster node for performing cooperative aggregation calculation, wherein the cooperative cluster node is a cluster node in the plurality of cluster nodes;

Optionally, the transceiver is specifically configured to: sending first service data to the cooperative cluster node through the aggregation layer device, wherein the first service data is at least part of service data in the terminal service data;

the processor is specifically configured to: and executing calculation operation based on second service data, wherein the second service data is service data except the first service data in the terminal service data.

Optionally, the processor is specifically configured to:

In an eighth aspect, an embodiment of the present invention provides a cooperative computing apparatus, where a target RN in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes multiple RNs, the target RN includes at least two RNs in the multiple RNs, the cooperative computing system further includes aggregation layer equipment and multiple cluster nodes, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, the cooperative computing apparatus includes a transceiver and a processor,

the transceiver is configured to: receiving a notification message sent by a target cluster node through aggregation layer equipment, wherein the notification message is used for notifying the target RN of performing collaborative aggregation calculation, and the target cluster node is one of the cluster nodes;

the transceiver is further configured to: receiving terminal service data sent by a terminal based on the notification message;

the transceiver is further configured to: and sending the terminal service data to the target cluster node through the aggregation layer equipment.

In a ninth aspect, an embodiment of the present invention provides a cooperative computing apparatus, where an aggregation layer device in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system further includes a plurality of RNs and a plurality of cluster nodes, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, the cooperative computing apparatus includes a transceiver and a processor,

the transceiver is configured to: receiving a notification message sent by a target cluster node, where the notification message is used to notify a target RN to perform cooperative aggregation calculation, the target cluster node is one of the multiple cluster nodes, and the target RN includes at least two RNs of the multiple RNs;

the transceiver is further configured to: sending the notification message to the target RN;

the transceiver and is also used for: receiving terminal service data sent by the target RN, and to the target cluster node and sending the terminal service data.

In a tenth aspect, an embodiment of the present invention provides a cluster node, including: a processor, a memory and a program stored on the memory and executable on the processor, the program implementing the steps of the collaborative computing method according to the first aspect when executed by the processor.

In an eleventh aspect, an embodiment of the present invention provides an RN, including: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the collaborative computing method according to the second aspect.

In a twelfth aspect, an embodiment of the present invention provides a polymerization layer apparatus, including: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the collaborative computing method according to the third aspect.

In a thirteenth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps of the collaborative computing method according to the first aspect; or the computer program, when executed by a processor, implements the steps of the collaborative computing method of the second aspect; or the computer program, when executed by a processor, implements the steps of the collaborative computing method according to the third aspect.

In this embodiment of the present invention, a cooperative computing system includes a plurality of cluster nodes, a target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes aggregation layer equipment and a plurality of RNs, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, and the method includes: determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the RNs; sending a notification message to the target RN through the aggregation layer equipment, wherein the notification message is used for notifying the target RN to carry out collaborative aggregation calculation; and performing collaborative aggregation calculation based on the terminal service data sent by the target RN. Therefore, the cooperative computing system is formed by the cluster nodes, the RNs and the aggregation layer device, the cluster nodes and the RNs are communicated through the aggregation layer device to achieve cooperative aggregation computing, and the performance of the computing cooperative mobile access network can be improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a schematic diagram of a centralized deployment architecture of a radio access network;

FIG. 2 is a flowchart of a collaborative computing method according to an embodiment of the present invention;

fig. 3 is a second schematic diagram of a centralized deployment architecture of radio access network;

fig. 4 is a schematic diagram of a mobile access network architecture according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a mobile access network architecture protocol stack according to an embodiment of the present invention;

fig. 6 is a second flowchart of a collaborative computing method according to an embodiment of the present invention;

FIG. 7 is a third flowchart of a collaborative computing method according to an embodiment of the present invention;

FIG. 8 is a schematic structural diagram of a collaborative computing apparatus according to an embodiment of the present invention;

FIG. 9 is a second schematic structural diagram of a collaborative computing apparatus according to an embodiment of the present invention;

fig. 10 is a third schematic structural diagram of a cooperative computing apparatus according to an embodiment of the present invention;

fig. 11 is a fourth schematic structural diagram of a collaborative computing apparatus according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present 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 embodiment of the invention provides a cooperative computing method, a device and a system, which are used for solving the problem of poor performance of the conventional computing cooperative mobile access network.

Referring to fig. 2, fig. 2 is a flowchart of a cooperative computing method provided in an embodiment of the present invention, where the cooperative computing method is applied to a target cluster node in a cooperative computing system, where the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes an aggregation layer device and a plurality of radio nodes RN, each cluster node includes at least two baseband processing units BBUs, and each RN includes at least two remote radio units RRU or at least two active antenna processing units AAU, as shown in fig. 2, the method includes the following steps:

step 101, determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the RNs;

step 102, sending a notification message to the target RN through the aggregation layer device, where the notification message is used to notify the target RN to perform cooperative aggregation calculation;

and 103, performing collaborative aggregation calculation based on the terminal service data sent by the target RN.

The target channel state quality may include a channel state quality of a terminal neighboring cell or a channel state quality of the SRS. The aggregation calculation may include joint transceiving of uplink and downlink data by a plurality of Radio Nodes (RNs), and/or resource sharing or computational power balancing by a plurality of cluster nodes.

In one embodiment, each of the target RNs receives the notification message jointly and then receives the terminal service data of the terminal.

In addition, the BBU included by the cluster node may be a C-BBU.

As shown in fig. 3, the current configuration that N RRUs/AAUs correspond to one centralized BBU results in that only cooperative calculation between N RRUs/AAUs directly connected to a single C-BBU can be performed, and cooperative calculation across C-BBUs cannot be supported, that is, joint transceiving of more AAUs and calculation resource sharing across C-BBUs cannot be performed, so that the performance of the wireless mobile access network cannot be fully exerted. In order to break through the RRU/AAU concentration degree constraint and the solidified BBU resource calculation constraint in the C-RAN network architecture, realize more RRU/AAU aggregation calculation (namely, the C-BBU of M machine rooms is connected with N RRU/AAU cooperative calculation) and resource sharing among cross C-BBUs, fully exert the multi-station cooperative capability, and improve the spectrum efficiency and the calculation efficiency of a wireless network, the embodiment of the invention provides a cooperative calculation system which is provided with a mobile access network architecture oriented to the aggregation calculation, and the architecture is the further evolution of a wireless access network architecture (C-RAN).

As shown in fig. 4, the cooperative computing system according to the embodiment of the present invention is composed of a C-BBU, an aggregation layer device, and a plurality of RRUs/AAUs. The C-BBU carries out information interaction through aggregation layer equipment to realize aggregation calculation and resource management and control of the cross-C-BBU, the aggregation layer equipment mainly carries out information interaction and data aggregation on a plurality of RRU/AAU data, and the plurality of RRU/AAU carry out data receiving and sending. The aggregation calculation may refer to joint transceiving of uplink and downlink data and sharing/computational power balancing of C-BBU resources by multiple RRUs/AAUs.

In one embodiment, a cluster node is formed by C-BUU of the same computer room.

It should be noted that the mobile access network architecture oriented to aggregation computing may have the following features:

three-layer structure: a Radio communication Protocol stack is divided into a Radio Node (Radio Node, RN) of an RRU/AAU (RF + Low order (Low) PHY), a High order (High) PHY of multiple BBUs in different equipment rooms, a Cluster (Cluster) Node formed by an upper layer of the High PHY, and an aggregation layer (i.e., a layer where aggregation layer equipment is located) between the Radio Node and the Cluster (Cluster) Node, where the upper layer of the High PHY may include Medium Access Control (MAC), radio Link Control (Radio Link Control, RLC), packet Data Convergence Protocol (PDCP) and Radio Resource Control (RRC);

interworking of aggregation layers: the multiple RNs are communicated with the multiple cluster nodes through a middle aggregation layer;

the logical cell is decomposed into two layers: the concept of the conventional Cell (Cell) will exist only on the RN, and mobility and radio resource management among cluster nodes are handled by the cluster nodes.

The NR node and the cluster node of the architecture can be independently deployed, and can realize the intercommunication of a plurality of C-BBUs and a plurality of RRU/AAUs through an aggregation layer, break through the one-to-many mapping relation of the traditional solidified C-BBUs and AAUs and the boundary range of multi-station cooperation, and realize the aggregation calculation of more RRU/AAU nodes in a larger range and the sharing of BBU calculation resources. The frequency spectrum efficiency of the system is improved, and meanwhile, the mobile communication target taking the user as the center is realized through intra-cluster/inter-cluster calculation force sharing.

The protocol stack of the mobile access network architecture facing the aggregation calculation is shown in fig. 5, and the protocol stack of the Low-PHY continues the original protocol stack and keeps taking a cell as a unit; the High-PHY and above protocol stacks keep the original structure, but use the cluster node as the processing unit.

In one embodiment, the function of a cluster node is defined as:

the user is managed by the cluster node attribution, that is, the information such as the context information of a single user is processed to the attribution cluster node, and the management is carried out by taking the cluster node as a unit.

The data processing of the user service plane is still processed according to the original protocol stack frame, i.e. the High-PHY/MAC/RLC/PDCP function is processed in units of users, and the control plane data (RRC) is processed in units of cluster nodes.

And managing mobility, resource coordination and the like of the user among the cluster nodes. For a User Equipment (UE, i.e. terminal), radio resource management (including handover, reselection, paging, etc.) and resource scheduling among clusters are managed and controlled by a cluster node. The user performs L1/L2 handover within cluster nodes and L3 RRC handover between cluster nodes. In addition, the cluster nodes can perform resource coordination, such as dynamic lossless carrier migration, and the cluster nodes receive the migration request and initiate the creation process of the migration target in advance, so that smooth migration among user clusters is realized, and the service quality is ensured.

Wherein, L1 switching: the BBU physical layer performs an interoperation process such as switching/reselection according to quality (e.g., reference Signal Received Power (RSRP)/Signal-to-noise and interference plus noise ratio (SINR)) of a Reference Signal (e.g., synchronization Signal Block (SSB)/CSI Reference Signal (CSI-RS)) reported by a terminal;

l2 switching: and the BBU MAC/RLC/PDCP layer performs interoperation processes such as switching/reselection and the like according to the quality (for example, RSRP/SINR) of a reference signal (for example, SSB/CSI-RS) reported by the terminal.

And (3) computing power balance management among clusters: the framework constructs a distributed cooperative cluster computing power pool by aggregating computing power of a plurality of base stations, so that cross-cluster computing power aggregation sharing, scheduling according to needs and flexible allocation of resources are realized, and the spectrum efficiency is continuously improved. For example, in a load imbalance scenario, a cluster node provides stable and continuous computing and storage resources for deployed data analysis and network element intelligent functions such as Artificial Intelligence (AI) computation through computational power balancing.

And performing collaborative aggregation calculation on the data of the plurality of RNs by taking the user as a unit. The multi-station cooperative aggregation calculation comprises joint transceiving. On one hand, the cluster node controls the multiple RNs to simultaneously receive uplink service data of the UE in the overlapped region, and performs joint receiving on the received data to obtain a combining gain and improve user experience. On the other hand, the cluster node distributes the downlink data to a plurality of RRU/AAU by taking the user as a unit to carry out joint data transmission.

It should be noted that, a plurality of interfaces of aggregation layer devices may be newly added, where the plurality of interfaces are used for the RN to communicate with a plurality of cluster nodes, and fields with different functions in table 1 are defined under the interfaces to be used for data transmission in different scenarios:

TABLE 1

Newly added function field	Means of	Application scenario
			Ownership of cluster node	Representing user-level cluster node affiliation	Clustering nodes by using context information of registration, authentication, capability reporting, reconfiguration and the like of users Managing and interacting on a unit basis
Mobility management of cluster node	Inter-cluster mobility pipe on behalf of a user Reason information	The user performs interoperation such as switching and reselection among clusters, such as cluster ID and inter-cluster reference signal Measurement of (2) and the like
			Cluster node resource management	Representing resource coordination information between clusters	Interaction of information such as inter-cluster carrier waves, bandwidth and the like is carried out in load unbalance scene
Joint transmit-receive of NR node	NR representing user-level joint transceiving Node information	Multi-station Coordination (COMP), including joint transmission, joint reception, etc., such as transmitting RN ID, RN joint receiving module and the like
			Computational surplus of cluster	Computing power residual representing clusters	For computing power balance between clusters

The embodiment of the invention provides a novel wireless access network architecture, and breaks through the design that a three-layer architecture is provided, a new aggregation layer is added to carry out intercommunication of a plurality of wireless nodes and a plurality of cluster nodes, a logic cell is decomposed into two layers, and the like; the embodiment of the invention provides a protocol stack of a new wireless access network architecture and functions of cluster nodes under the architecture, wherein the functions comprise cluster node attribution of a user, user plane and control plane protocol stack management of the user, mobility management of users among clusters, computing power management among clusters, joint receiving and sending of the user and the like; in the embodiment of the invention, an aggregation layer interface for the intercommunication of a plurality of RNs and a plurality of cluster nodes is newly added; in the embodiment of the invention, fields with different functions are added for data transmission in different scenes, for example, the added Ownership of cluster node fields are used for cluster node attribution management of users; the embodiment of the invention provides a multi-station joint receiving method under a novel wireless access network architecture.

The aggregation calculation-oriented mobile access network architecture in the embodiment of the invention breaks through the one-to-many corresponding relation between the traditional solidified C-BBU and AAU, realizes the intercommunication between a plurality of wireless nodes and a plurality of cluster nodes, solves the problem that the calculation-coordinated mobile access network architecture cannot realize cross-C-BBU cooperative calculation, realizes wider aggregation calculation and calculation resource sharing, and improves the spectrum efficiency; meanwhile, a mobile communication target with a user as the center can be realized through methods such as cluster node management and computational power cloud sharing.

The embodiment of the invention can be applied to a wireless mobile access network in a large scale, such as a TDD network or an FDD network.

In this embodiment of the present invention, a cooperative computing system includes a plurality of cluster nodes, a target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes aggregation layer equipment and a plurality of RNs, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, and the method includes: determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the RNs; sending a notification message to the target RN through the aggregation layer equipment, wherein the notification message is used for notifying the target RN to carry out collaborative aggregation calculation; and performing collaborative aggregation calculation based on the terminal service data sent by the target RN. Therefore, the cooperative computing system is formed by the cluster nodes, the RNs and the aggregation layer device, the cluster nodes and the RNs communicate through the aggregation layer device to achieve cooperative aggregation computing, and the performance of the computing cooperative mobile access network can be improved.

Optionally, the determining, based on the target channel state quality reported by the terminal, the target RN for performing cooperative aggregation calculation includes:

The spectrum efficiency of the collaborative aggregation calculation can be determined based on the channel state quality of a plurality of neighboring cells reported by the terminal or the channel state quality of the SRS. For example, the spectral efficiency may be a ratio of a channel rate to a channel spacing, and the channel state quality may include the channel rate and the channel spacing.

In addition, the determining the target RN for performing cooperative aggregation calculation based on the spectral efficiency of cooperative aggregation calculation may include determining the target RN for performing cooperative aggregation calculation based on the spectral efficiency of cooperative aggregation calculation and the spectral efficiency of single-station transmission; or, the target RN for performing the cooperative aggregation calculation may be determined when the spectral efficiency of the cooperative aggregation calculation is greater than a preset spectral efficiency.

In one embodiment, in a case that the spectral efficiency of the cooperative aggregation calculation is greater than the spectral efficiency of single-station transmission, the target RN for performing the cooperative aggregation calculation is determined. For example, the spectral efficiency of transmission by the target RN may be taken as the spectral efficiency of cooperative aggregation calculation, the spectral efficiency of transmission by a single RN may be taken as the spectral efficiency of single-station transmission, and in the case that the spectral efficiency of transmission by the target RN is greater than the spectral efficiency of transmission by a single RN, the target RN may be taken as the RN of cooperative aggregation calculation.

In the embodiment, the spectrum efficiency of the cooperative aggregation calculation is determined based on the channel state quality of the terminal neighboring cell reported by the terminal or the channel state quality of the uplink reference signal (SRS); and determining the target RN for cooperative aggregation calculation based on the spectral efficiency of the cooperative aggregation calculation, so that the determination of the target RN for cooperative aggregation calculation can be realized by considering the dimensionality of the spectral efficiency.

Optionally, the determining the spectral efficiency of the cooperative aggregation calculation based on the channel state quality of the terminal neighboring cell reported by the terminal or the channel state quality of the uplink reference signal SRS includes:

The A3 event measurement result may include RSRP, reference Signal Received Quality (RSRQ), and the like. The A3 event can be an event that a neighbor cell is better than a serving cell; the occurrence of the A3 event may be used to decide whether the terminal is handed over to a neighbor cell. For example, the cooperative aggregation calculation may be started when the A3 event measurement result reported by the terminal meets a preset measurement result. For example, the preset measurement result may include that RSRP of the neighboring cell is higher than the serving cell by a preset value, or RSRQ of the neighboring cell is higher than the serving cell by a preset value.

In this embodiment, whether to start the cooperative aggregation calculation is determined by the event measurement result A3, and when it is determined to start the cooperative aggregation calculation, the spectral efficiency of the cooperative aggregation calculation is determined based on the channel state quality of the terminal neighboring cell reported by the terminal or the channel state quality of the SRS, so that the cooperative aggregation calculation can be started at a more appropriate time.

In order to reduce transmission bandwidth and multi-station cooperative computing amount, based on an auto-negotiation design method of "transmission on demand and hierarchical processing", a cooperative computing system of the embodiment of the present invention implements a multi-station joint reception process as follows:

(1): the cluster node informs the terminal under the RN of periodically measuring an A3 event and reporting Channel state quality, including SSB-RSRP, channel Quality Indicator (CQI), and the like.

(2): and the cluster node judges whether the joint reception of the multiple RNs is started or not according to the A3 event measurement result, starts the joint reception of the multiple RNs when the A3 event measurement result is greater than a certain threshold (for example, the service quality RSRP of the adjacent cell is 9dB higher than that of the serving cell), and stops the reception otherwise.

(3): and (2) calculating by the cluster node according to the channel state quality of the terminal neighbor cell reported by the terminal in the step (1) or the channel state quality (SRS-SINR) of the uplink reference signal SRS to obtain the spectrum efficiency of multi-RN cooperation, and judging which RNs under the cluster nodes perform joint receiving.

(4): the cluster node informs the multiple RNs under different cluster nodes of Joint reception of data as required through an interface (such as a newly added field Joint transmit-receive id) of an aggregation layer, so that the requirement on transmission bandwidth is reduced.

Wherein, in addition to the selection of the number of RNs (for example, whether to select several RNs across a cluster or under the same cluster), different module data (for example, radio frequency, medium radio frequency, digital-to-analog conversion, channel estimation/equalization, demodulation) of low-PHY of different RNs can be selected according to the requirement (for example, rate, etc.) of the terminal as required, for example, when the requirement of the terminal rate is not high, the demodulated soft bit is transmitted; and whether the compressed data is jointly received or not to obtain different receiving benefits.

(5): the cluster nodes in the collaborative computing system utilize the newly added interface Computational tasks of cluster to perform task allocation of joint computation and share computing resources to achieve balance of computation power, for example, when the data volume is small and the real-time delay requirement is high, cluster nodes between clusters and the nearest cluster nodes with margins are adopted to perform collaborative computation.

It should be noted that the cooperative cluster may communicate with the target cluster through the aggregation layer, and the state of the cooperative cluster is normal. A cluster node satisfying a preset condition among the plurality of cluster nodes may be determined as a cooperative cluster node, and the preset condition may include, for example: the residual calculation force difference between the cooperative cluster and the target cluster is greater than a certain threshold and lasts for a certain time, and the number of terminals connected with the cooperative cluster is lower than a certain threshold. After determining the cooperative cluster nodes, the decision may be made to perform computational power equalization. The collaboration cluster and the target cluster can perform residual computing interaction through an aggregation layer interface Computational tasks of cluster. When at least two cluster nodes in the plurality of cluster nodes meet a preset condition, the at least two cluster nodes may be sorted from high to low according to the remaining computation power, and one or more cluster nodes with higher remaining computation power are selected as the cooperative cluster nodes.

In this embodiment, a cooperative cluster node for performing cooperative aggregation calculation is determined, and based on the cooperative cluster node, the cooperative aggregation calculation is performed on the terminal service data, so that inter-cluster computational power balance and computational power sharing among a plurality of cluster nodes can be achieved.

It should be noted that the cooperative cluster node and the target cluster node perform computation task intercommunication through aggregation layer equipment, and the cooperative cluster node performs cooperative computation. The embodiment can be used for computing power balance among BBUs in different machine rooms, or can be used for computing power balance among BBUs in the same machine room, and the computing power balance among the BBUs in the same machine room can be achieved through interaction of the switch or the BBU frame back plate.

In this embodiment, the aggregation layer device sends first service data to the cooperative cluster node, where the first service data is at least part of the service data in the terminal service data; and executing calculation operation based on second service data, wherein the second service data is service data except the first service data in the terminal service data, so that the cooperative aggregation calculation of the target cluster node and the cooperative cluster node can be realized.

The third preset threshold may be smaller than the first preset threshold, and the remaining computational power of the cooperative cluster node may be greater than the second preset threshold.

It should be noted that inter-cluster computational power balance judgment can be performed, inter-cluster computational power balance can be started for clusters with more connected terminals and high loads, and therefore a target cluster needing the computational power balance is locked; when the number of terminals connected with the target cluster is higher than a certain threshold or the residual computing power of the target cluster is lower than a certain threshold and lasts for a certain time, computing power balance among clusters is started to realize triggering of computing power balance; and when the number of terminals connected with the target cluster is lower than a certain threshold or the residual computing power of the target cluster is higher than the certain threshold and lasts for a certain time, closing the computing power balance among the clusters to realize closing of the computing power balance.

In this embodiment, when the number of terminals connected to the target cluster node is greater than a first preset threshold or the remaining computation power of the target cluster node is less than a second preset threshold, the target cluster node starts inter-cluster computation power balancing to determine a cooperative cluster node for performing cooperative aggregation computation, and the target cluster node and the cooperative cluster node perform cooperative aggregation computation, so that inter-cluster computation power balancing and computation power sharing among a plurality of cluster nodes can be achieved.

Referring to fig. 6, fig. 6 is a flowchart of a cooperative computing method, where the cooperative computing method is applied to a target RN in a cooperative computing system, where the cooperative computing system includes multiple RNs, the target RN includes at least two RNs in the multiple RNs, the cooperative computing system further includes a aggregation layer device and multiple cluster nodes, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, and the method includes, as shown in fig. 1, the following steps:

step 201, receiving a notification message sent by a target cluster node through aggregation layer equipment, where the notification message is used to notify the target RN to perform cooperative aggregation calculation, and the target cluster node is a cluster node in the cooperative calculation system;

step 202, receiving terminal service data sent by a terminal based on the notification message;

step 203, sending the terminal service data to the target cluster node through the aggregation layer device.

It should be noted that, this embodiment is used as an implementation manner of the target RN corresponding to the embodiment shown in fig. 1, and specific implementation manners thereof may refer to relevant descriptions of the embodiment shown in fig. 1, so that, in order to avoid repeated descriptions, this embodiment is not described again, and the same beneficial effects may also be achieved.

Referring to fig. 7, fig. 7 is a flowchart of a cooperative computing method provided in an embodiment of the present invention, where the cooperative computing method is applied to aggregation layer devices in a cooperative computing system, and the cooperative computing system further includes a plurality of RNs and a plurality of cluster nodes, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, and the method includes:

step 301, receiving a notification message sent by a target cluster node, where the notification message is used to notify a target RN to perform cooperative aggregation calculation, the target cluster node is one cluster node in the multiple cluster nodes, and the target RN includes at least two RNs in the multiple RNs;

step 302, sending the notification message to the target RN;

step 303, receiving the terminal service data sent by the target RN, and sending the terminal service data to the target cluster node.

It should be noted that, this embodiment is used as an implementation of the polymerization layer device corresponding to the embodiment shown in fig. 1, and specific implementation thereof may refer to relevant descriptions of the embodiment shown in fig. 1, so that, in order to avoid repeated descriptions, the embodiment is not described again, and the same beneficial effects may also be achieved.

Referring to fig. 8, fig. 8 is a schematic structural diagram of a cooperative computing apparatus according to an embodiment of the present invention, a target cluster node in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes an aggregation layer device and a plurality of RNs, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, as shown in fig. 8, the cooperative computing apparatus 400 includes:

a determining module 401, configured to determine, based on a target channel state quality reported by a terminal, a target RN for performing cooperative aggregation calculation, where the target RN includes at least two RNs in the multiple RNs;

a sending module 402, configured to send a notification message to the target RN through the aggregation layer device, where the notification message is used to notify the target RN to perform cooperative aggregation calculation;

a calculating module 403, configured to perform collaborative aggregation calculation based on the terminal service data sent by the target RN.

Optionally, the determining module includes:

the first determining unit is used for determining the spectrum efficiency of the cooperative aggregation calculation based on the channel state quality of a terminal neighboring cell reported by a terminal or the channel state quality of an uplink reference signal (SRS);

Optionally, the first determining unit is specifically configured to:

Optionally, the calculation module comprises:

a receiving unit, configured to receive, by the aggregation layer device, terminal service data sent by the target RN;

Optionally, the computing unit is specifically configured to:

Optionally, the third determining unit is specifically configured to:

determining cooperative cluster nodes for performing cooperative aggregation calculation under the condition that the number of terminals connected with the target cluster nodes is greater than a first preset threshold value or the residual calculation power of the target cluster nodes is less than a second preset threshold value;

The cooperative computing apparatus can implement each process implemented by the method embodiment shown in fig. 2, and can achieve the same beneficial effects, and is not described herein again to avoid repetition.

Referring to fig. 9, fig. 9 is a schematic structural diagram of a cooperative computing apparatus according to an embodiment of the present invention, a target RN in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes a plurality of RNs, the target RN includes at least two RNs in the plurality of RNs, the cooperative computing system further includes a aggregation layer device and a plurality of cluster nodes, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, and the cooperative computing apparatus 500 includes:

a first receiving module 501, configured to receive, by an aggregation layer device, a notification message sent by a target cluster node, where the notification message is used to notify the target RN to perform cooperative aggregation calculation, and the target cluster node is one of the multiple cluster nodes;

a second receiving module 502, configured to receive terminal service data sent by a terminal based on the notification message;

a sending module 503, configured to send the terminal service data to the target cluster node through the aggregation layer device.

Referring to fig. 10, fig. 10 is a schematic structural diagram of a cooperative computing apparatus according to an embodiment of the present invention, an aggregation layer device in the cooperative computing system includes the cooperative computing apparatus, the cooperative computing system further includes a plurality of RNs and a plurality of cluster nodes, each cluster node includes at least two BBUs, each RN includes at least two RRUs or at least two AAUs, and the cooperative computing apparatus 600 includes:

a first receiving module 601, configured to receive a notification message sent by a target cluster node, where the notification message is used to notify a target RN to perform cooperative aggregation calculation, the target cluster node is one cluster node in the multiple cluster nodes, and the target RN includes at least two RNs in the multiple RNs;

a sending module 602, configured to send the notification message to the target RN;

a second receiving module 603, configured to receive the terminal service data sent by the target RN, and send the terminal service data to the target cluster node.

An embodiment of the present invention further provides a cluster node, including: the processor, the memory, and the program stored in the memory and capable of running on the processor, where the program, when executed by the processor, implements each process of the above-described cooperative computing method embodiment, and can achieve the same technical effect, and are not described herein again to avoid repetition.

An embodiment of the present invention further provides an RN, including: the processor, the memory, and the program stored in the memory and capable of running on the processor, where the program is executed by the processor to implement the processes of the cooperative computing method embodiment, and can achieve the same technical effect, and are not described herein again to avoid repetition.

An embodiment of the present invention further provides a polymerization layer device, including: the processor, the memory, and the program stored in the memory and capable of running on the processor, where the program, when executed by the processor, implements each process of the above-described cooperative computing method embodiment, and can achieve the same technical effect, and are not described herein again to avoid repetition.

Referring to fig. 11, an embodiment of the present invention further provides a cooperative computing apparatus, which includes a bus 701, a transceiver 702, an antenna 703, a bus interface 704, a processor 705, and a memory 706.

In one embodiment, a target cluster node in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one of the plurality of cluster nodes, the cooperative computing system further includes an aggregation layer device and a plurality of RNs, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs.

The processor 705 is configured to: determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the RNs;

the transceiver 702 is configured to: sending a notification message to the target RN through the aggregation layer equipment, wherein the notification message is used for notifying the target RN to carry out collaborative aggregation calculation;

the processor 705 is further configured to: and performing collaborative aggregation calculation based on the terminal service data sent by the target RN.

Optionally, the processor 705 is specifically configured to:

Optionally, the transceiver 702 is specifically configured to: receiving terminal service data sent by the target RN through the aggregation layer equipment;

the processor 705 is specifically configured to: determining a cooperative cluster node for performing cooperative aggregation calculation, wherein the cooperative cluster node is a cluster node in the plurality of cluster nodes;

Optionally, the transceiver 702 is specifically configured to: sending first service data to the cooperative cluster node through the aggregation layer device, wherein the first service data is at least part of service data in the terminal service data;

the processor 705 is specifically configured to: and executing calculation operation based on second service data, wherein the second service data is service data except the first service data in the terminal service data.

Optionally, the processor 705 is specifically configured to:

In one embodiment, a target RN in a cooperative computing system includes the cooperative computing apparatus, the cooperative computing system includes a plurality of RNs, the target RN includes at least two RNs in the plurality of RNs, the cooperative computing system further includes an aggregation layer device and a plurality of cluster nodes, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs.

The transceiver 702 is configured to: receiving a notification message sent by a target cluster node through aggregation layer equipment, wherein the notification message is used for notifying the target RN of performing collaborative aggregation calculation, and the target cluster node is one of the cluster nodes;

the transceiver 702 is further configured to: receiving terminal service data sent by a terminal based on the notification message;

the transceiver 702 is further configured to: and sending the terminal service data to the target cluster node through the aggregation layer equipment.

In one embodiment, an aggregation layer device in a cooperating computing system comprises the cooperating computing apparatus, the cooperating computing system further comprises a plurality of RNs and a plurality of cluster nodes, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, the cooperating computing apparatus comprises a transceiver 702 and a processor 705,

the transceiver 702 is configured to: receiving a notification message sent by a target cluster node, where the notification message is used to notify a target RN to perform cooperative aggregation calculation, the target cluster node is one of the multiple cluster nodes, and the target RN includes at least two RNs of the multiple RNs;

the transceiver 702 is further configured to: sending the notification message to the target RN;

the transceiver 702 is further configured to: and receiving the terminal service data sent by the target RN, and sending the terminal service data to the target cluster node.

In fig. 11, a bus architecture (represented by the bus 701), the bus 701 may include any number of interconnected buses and bridges, with the bus 701 linking various circuits including one or more processors 705, represented by the processor 705, and memory, represented by the memory 706, together. The bus 701 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 704 provides an interface between the bus 701 and the transceiver 702. The transceiver 702 may be one element or multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. Data processed by processor 705 is transmitted over a wireless medium via antenna 703, and further, antenna 703 receives data and transmits data to processor 705.

The processor 705 is responsible for managing the bus 701 and general processing, and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 706 may be used for storing data used by processor 705 in performing operations.

Optionally, the processor 705 may be a CPU, ASIC, FPGA or CPLD.

The embodiment of the present invention further provides a cooperative computing system, where the cooperative computing system includes multiple cluster nodes, multiple RNs, and aggregation layer devices, each cluster node includes at least two BBUs, and each RN includes at least two RRUs or at least two AAUs, where a target cluster node in the multiple cluster nodes is used to execute a cooperative computing method applied to the target cluster node; a target RN in the RNs is used for executing a cooperative computing method applied to the target RN; the aggregation layer device is used for executing the steps of the collaborative computing method applied to the aggregation layer device.

The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the foregoing collaborative computing method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer readable storage medium is, for example, ROM, RAM, magnetic disk or optical disk.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the particular illustrative embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalent arrangements, and equivalents thereof, which may be made by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. A cooperative computing method is applied to a target cluster node in a cooperative computing system, wherein the cooperative computing system includes a plurality of cluster nodes, the target cluster node is one cluster node in the plurality of cluster nodes, the cooperative computing system further includes aggregation layer equipment and a plurality of Radio Nodes (RNs), each cluster node includes at least two baseband processing units (BBUs), and each RN includes at least two RRUs (remote radio units) or at least two active antenna processing units (AAUs), and the method includes:

determining a target RN for performing cooperative aggregation calculation based on the target channel state quality reported by a terminal, wherein the target RN comprises at least two RNs in the plurality of wireless nodes RN;

2. The method of claim 1, wherein the determining the target RN for performing the cooperative aggregation calculation based on the target channel state quality reported by the terminal comprises:

3. The method of claim 2, wherein the determining the spectral efficiency of the cooperative aggregation calculation based on the channel state quality of the terminal neighboring cell reported by the terminal or the channel state quality of the uplink reference signal (SRS) comprises:

4. The method of claim 1, wherein the target RN is an RN that receives a target channel state quality reported by the terminal.

5. The method of claim 1, wherein the performing cooperative aggregation calculation based on the terminal service data sent by the target RN comprises:

6. The method according to claim 5, wherein the performing collaborative aggregation computation on the terminal service data based on the collaborative cluster nodes includes:

7. The method of claim 5, wherein determining the cooperative cluster nodes for cooperative aggregation computation comprises:

8. A cooperative computing method is applied to a target RN in a cooperative computing system, wherein the cooperative computing system comprises a plurality of RNs, the target RN comprises at least two RNs in the plurality of RNs, the cooperative computing system further comprises aggregation layer equipment and a plurality of cluster nodes, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, and the method comprises the following steps:

receiving a notification message sent by a target cluster node through aggregation layer equipment, wherein the notification message is used for notifying the target RN of performing cooperative aggregation calculation, and the target cluster node is a cluster node in the cooperative calculation system;

9. A cooperative computing method is applied to aggregation layer equipment in a cooperative computing system, and is characterized in that the cooperative computing system further comprises a plurality of RNs and a plurality of cluster nodes, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, and the method comprises the following steps:

sending the notification message to the target RN;

10. A cooperative computing apparatus, wherein a target cluster node in a cooperative computing system comprises the cooperative computing apparatus, wherein the cooperative computing system comprises a plurality of cluster nodes, wherein the target cluster node is one of the plurality of cluster nodes, wherein the cooperative computing system further comprises an aggregation layer device and a plurality of RNs, wherein each cluster node comprises at least two BBUs, and each RN comprises at least two RRUs or at least two AAUs, and wherein the apparatus comprises:

11. A cooperating computing device, a target RN in a cooperating computing system comprising the cooperating computing device, wherein the cooperating computing system comprises a plurality of RNs, the target RN comprises at least two RNs in the plurality of RNs, the cooperating computing system further comprises a aggregation layer device and a plurality of cluster nodes, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, and the apparatus comprises:

a first receiving module, configured to receive, by an aggregation layer device, a notification message sent by a target cluster node, where the notification message is used to notify the target RN to perform cooperative aggregation calculation, and the target cluster node is one of the multiple cluster nodes;

12. A cooperating computing device, an aggregation layer apparatus in a cooperating computing system comprising the cooperating computing device, wherein the cooperating computing system further comprises a plurality of RNs and a plurality of cluster nodes, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, the apparatus comprising:

a sending module, configured to send the notification message to the target RN;

13. A cooperative computing apparatus, a target cluster node in a cooperative computing system comprising the cooperative computing apparatus, wherein the cooperative computing system comprises a plurality of cluster nodes, the target cluster node is one cluster node in the plurality of cluster nodes, the cooperative computing system further comprises an aggregation layer device and a plurality of RNs, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, the cooperative computing apparatus comprises a transceiver and a processor,

14. A cooperative computing device, a target RN in a cooperative computing system comprising the cooperative computing device, wherein the cooperative computing system comprises a plurality of RNs, wherein the target RN comprises at least two RNs of the plurality of RNs, wherein the cooperative computing system further comprises a aggregation layer device and a plurality of cluster nodes, wherein each cluster node comprises at least two BBUs, wherein each RN comprises at least two RRUs or at least two AAUs, wherein the cooperative computing device comprises a transceiver and a processor,

15. A cooperative computing apparatus, an aggregation layer device in a cooperative computing system comprising the cooperative computing apparatus, characterized in that the cooperative computing system further comprises a plurality of RNs each comprising at least two BBUs and a plurality of cluster nodes each comprising at least two RRUs or at least two AAUs, the cooperative computing apparatus comprising a transceiver and a processor,

the transceiver is further configured to: and receiving the terminal service data sent by the target RN, and sending the terminal service data to the target cluster node.

16. A collaborative computing device, comprising: a processor, a memory and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps of the collaborative computing method according to any of claims 1 to 7; or, the program when executed by the processor implements the steps of the collaborative computing method according to claim 8; alternatively, the program realizes the steps of the cooperative computing method according to claim 9 when executed by the processor.

17. A collaborative computing system, characterized in that the collaborative computing system comprises a plurality of cluster nodes, a plurality of RNs and aggregation layer devices, each cluster node comprises at least two BBUs, each RN comprises at least two RRUs or at least two AAUs, wherein a target cluster node of the plurality of cluster nodes is configured to perform the steps of the collaborative computing method according to any one of claims 1 to 7; a target RN of the plurality of RNs is configured to perform the steps of the collaborative computing method of claim 8; the aggregation layer device is configured to perform the steps of the collaborative computing method according to claim 9.

18. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, realizes the steps of the collaborative computing method according to any one of claims 1 to 7; or the computer program when executed by a processor implements the steps of the collaborative computing method according to claim 8; or which computer program, when being executed by a processor, carries out the steps of the collaborative computing method according to claim 9.