CN111510959B - Method and equipment for deploying nRT RIC function - Google Patents

Method and equipment for deploying nRT RIC function Download PDF

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CN111510959B
CN111510959B CN201910090585.3A CN201910090585A CN111510959B CN 111510959 B CN111510959 B CN 111510959B CN 201910090585 A CN201910090585 A CN 201910090585A CN 111510959 B CN111510959 B CN 111510959B
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function
nrt ric
deployed
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CN111510959A (en
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孙军帅
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10—Dynamic resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/08—Load balancing or load distribution
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08—Access point devices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention provides a method and equipment for deploying an nRT RIC function, which are used for solving the problem that no nRT RIC deployment scheme exists at present. The embodiment of the invention deploys the function of meeting the regulation of the nRT RIC distribution deployment characteristic value in the wireless resource management on the network side equipment based on the existing hardware and computing resources on the network side equipment, thereby realizing the minimization of the hardware cost of the base station; the method is characterized in that functions except for the function deployed on network side equipment in the nRT RIC function are deployed on a cloud platform or all the functions of the nRT RIC are deployed on the cloud platform, the function requirements of large storage and large calculation amount are met through an IT technology, and the scale controllable expansion of the cloud platform is realized through the distributed hardware function of the cloud platform, so that the expansion of the cloud platform part, the flexible increase of the calculation capacity and the storage capacity are realized, and the blank of an nRT RIC deployment scheme in an O-RAN alliance is filled.

Description

Method and equipment for deploying nRT RIC function
Technical Field
The invention relates to the technical field of communication, in particular to a method and equipment for deploying an nRT RIC function.
Background
In the month of 2, this year, during the mobile congress of the Barcelona world, the xRAN (Radio Access Network) forum and the C-RAN alliance have announced that they merge to form a global O-RAN alliance.
So-called O-RANs, open RANs, radio access networks range from D-RANs (distributed RANs) to C-RANs (centralized RANs) to v-RANs (virtualized or clouded RANs), now formally beginning to evolve into the O-RAN (Open RANs) era.
An important research direction of the ora is to improve environmental adaptability of radio resource management and radio transmission technology by using an artificial intelligence technology, enable a wireless device to better adapt to environmental requirements in different scenes by using machine learning, and better meet the requirements of future 5G complex application scenes while improving network performance. For example, the Near Real-Time Radio Intelligent Controller (nRT RIC) function proposed by the O-RAN removes Radio Resource control (RRM) related to Dynamic Resource Allocation (RRM) from a Radio Resource Management (Radio Resource Management, rrc) function described in the 38.300 protocol, and the O-RAN proposes to introduce an artificial intelligence technology into the nRT RIC, so as to implement Intelligent Management of Radio resources under the drive of big data and artificial intelligence, and improve the adaptability of the device to a complex environment.
The concept of the O-RAN for nRT RIC functions is still in the theoretical stage, how to deploy nRT RIC becomes the key to prove the rationality of nRT RIC, and there is no actual deployment scheme of nRT RIC at present.
In summary, no nRT RIC deployment scheme exists.
Disclosure of Invention
The invention provides a method and equipment for deploying an nRT RIC function, which are used for solving the problem that no nRT RIC deployment scheme exists at present.
In a first aspect, a method for deploying an nRT RIC function provided in an embodiment of the present invention includes:
the network side equipment determines that an nRT RIC function needs to be executed;
the network side equipment executes an nRT RIC function deployed on the network side equipment; wherein the nRT RIC function deployed on the network side device is a function satisfying nRT RIC distribution deployment characteristic value conditions in wireless resource management.
According to the method, based on existing hardware and computing resources on the current network side equipment, the function meeting the requirement of adjusting the nRT RIC distribution deployment characteristic value in the wireless resource management is deployed on the network side equipment, so that the minimization of the hardware cost of the base station is realized; the method is characterized in that functions except for the function deployed on network side equipment in the nRT RIC function are deployed on a cloud platform or all the functions of the nRT RIC are deployed on the cloud platform, the function requirements of large storage and large calculation amount are met through an IT technology, and the scale controllable expansion of the cloud platform is realized through the distributed hardware function of the cloud platform, so that the flexible expansion of the cloud platform part and the flexible increase of the computing capacity and the storage capacity are realized, and the blank of an nRT RIC deployment scheme in an O-RAN alliance is filled.
In an alternative embodiment, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and the function of which the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than a preset threshold value.
In an optional embodiment, the nRT RIC distribution deployment characteristic value corresponding to the function is determined by some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
In a second aspect, a method for deploying nRT RIC functions provided in an embodiment of the present invention includes:
the cloud platform determines that an nRT RIC function needs to be executed;
the cloud platform executing nRT RIC functions deployed on the cloud platform; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management; or a function other than a function deployed on a network-side device in the wireless resource management; the function deployed on the network side equipment is a function which meets the condition of nRT RIC distribution deployment characteristic value in wireless resource management.
In an alternative embodiment, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and the function of which the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than a first preset threshold value.
In an optional embodiment, the nRT RIC distribution deployment characteristic value corresponding to the function is determined by some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
In a third aspect, an embodiment of the present invention provides a network side device for deploying an nRT RIC function, including: a processor and a transceiver:
the processor is configured to determine, via the transceiver, that an nRT RIC function needs to be performed; executing an nRT RIC function deployed on the network-side device; wherein the nRT RIC function deployed on the network side device is a function satisfying nRT RIC distribution deployment characteristic value conditions in wireless resource management.
Optionally, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and (4) except the function of the dynamic resource allocation DRA, wherein the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than the preset threshold value.
Optionally, the processor is specifically configured to determine an nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
Optionally, if the network side device is a base station, the nRT RIC function deployed on the network side device is connected to the protocol stack of the base station through an E2 interface; or
And if the network side equipment is a server or a cloud platform, the function of the nRT RIC deployed on the network side equipment is connected with the protocol stack of at least one base station through an E2 interface.
In a fourth aspect, an embodiment of the present invention provides a cloud platform device for nRT RIC function deployment, including: a processor and a transceiver:
the processor is configured to determine, via the transceiver, that an nRT RIC function needs to be performed; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management; or a function other than a function deployed on a network-side device in the wireless resource management; the function deployed on the network side equipment is a function which meets the condition of nRT RIC distribution deployment characteristic value in wireless resource management.
Optionally, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and the function of which the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than a first preset threshold value.
Optionally, the processor is specifically configured to determine an nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
In a fifth aspect, an embodiment of the present invention further provides an apparatus for deploying an nRT RIC function, where the apparatus includes:
at least one processing unit and at least one memory unit, wherein the memory unit stores program code that, when executed by the processing unit, causes the processing unit to perform the functions of the embodiments of the first or second aspect.
In a sixth aspect, embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method of the first or second aspect.
In addition, for technical effects brought by any one implementation manner of the third aspect to the sixth aspect, reference may be made to technical effects brought by different implementation manners of the first aspect and the second aspect, and details are not described here.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings may be obtained according to the drawings without inventive labor.
Fig. 1 is a schematic flowchart of a method for deploying an nRT RIC function according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another method for deploying nRT RIC functions according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a distributed deployment scenario of a first deployment scenario according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a distributed deployment scenario of a second deployment scenario according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a first network-side device that deploys an nRT RIC function according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a second network-side device that deploys an nRT RIC function according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a first cloud platform device deploying an nRT RIC function according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a second cloud platform device deploying an nRT RIC function according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Some of the words that appear in the text are explained below:
1. in the embodiment of the present invention, the term "and/or" describes an association relationship of an associated object, and indicates that three relationships may exist, for example, a and/or B, and may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
2. In the embodiment of the present invention, the term "network side device" refers to a macro base station, a micro base station, a server, a cloud platform, or the like that supports deployment of nRT RIC functions.
The nRT RIC function in the embodiment of the present invention includes a radio resource control function related to removing dynamic resource allocation (this function is implemented in a scheduler placed in the MAC) from the radio resource management function described in the 38.300 protocol, wherein the details of the functions included in the radio resource management described in the 38.300 protocol are shown in table 1.
Figure GDA0003986387100000061
TABLE 1
According to the embodiment of the invention, the nRT RIC is subjected to division deployment according to functions, the functions meeting the distribution deployment characteristic values of the nRT RIC can be deployed on the base station, and can also be deployed outside the gNB, so that the minimization of the hardware cost of the gNB is realized. The following describes in detail a specific deployment scenario in an embodiment of the present invention with reference to the drawings of the specification.
A first deployment scheme: and deploying one part of functions on the base station, and deploying the other part of functions on the cloud platform.
The method comprises the following steps: determining nRT RIC functions that can be deployed on a base station;
as shown in fig. 1, a method for deploying an nRT RIC function provided in an embodiment of the present invention specifically includes the following steps:
step 100, the network side equipment determines that an nRT RIC function needs to be executed;
step 101, the network side equipment executes nRT RIC function deployed on the network side equipment; wherein the nRT RIC function deployed on the network side device is a function satisfying nRT RIC distribution deployment characteristic value conditions in wireless resource management.
It is understood that the network side device herein refers to a base station, and the base station performs part of nRT RIC functions deployed on the base station. Therefore, to determine nRT RIC functions that can be deployed on the base station, the embodiments of the present invention determine by nRT RIC distribution deployment characteristic values, deploy an algorithm or a function that satisfies nRT RIC distribution deployment characteristic value conditions on the base station, and deploy a function that does not satisfy the conditions on the cloud platform. When determining nRT RIC distribution deployment characteristic values corresponding to a certain algorithm or function, some or all of the following parameters need to be used:
1. real-Time requirements (denoted as TC (Time constrainnt));
the real-time property means that a certain function or algorithm receives the measurement or detection data of the response, and the time required by the final decision is determined after calculation; the real-time requirement means that the real-time performance of the algorithm or the function is lower than a first preset threshold value, the algorithm or the function meeting the real-time performance requirement is deployed on the base station, and if the real-time performance of the algorithm or the function is higher than the threshold value, the algorithm is deployed outside the base station.
Generally, the time (i.e. real-time performance) required from response to decision is required to be lower than a first preset threshold (i.e. real-time performance requirement), for example, the real-time performance requirement of an algorithm or function deployed on a base station is required to be lower than 10ms, and if the real-time performance of a load balancing algorithm is 11ms, the algorithm needs to be deployed outside the base station.
2. Computing power requirements (denoted as CC (Computing Capability));
the computing power requirement refers to the requirement of a certain function or algorithm on hardware, and generally the computing power requirement on the function or algorithm is lower than a second preset threshold value. It can be understood that in the scheme of deploying nRT RIC functions, a function or algorithm with a lower requirement on computing power is deployed to the base station, and a function or algorithm with a higher requirement on computing power is deployed to the cloud platform with a higher processing speed, so as to reduce the load of the base station and improve the overall performance. Therefore, for an algorithm or a function exceeding a second preset threshold, the embodiment of the present invention provides a feasible manner, in which the algorithm or the function is segmented, the non-core part with high requirement on the calculation capability is separated, the core part with low requirement on the calculation capability is placed on the base station, and if the requirement on the algorithm capability of the core part still exceeds the second preset threshold, the algorithm or the function can be further decomposed until the atomic layer cannot be segmented, and then the atomic layer is deployed on the base station for the part of the atomic layer after the algorithm or the function is segmented, so as to control the cost of the base station.
3. Storage space requirements (denoted as BR (Buffer Request));
it will be appreciated that the management and use of memory space is not only a cost issue, but also a power consumption issue, and therefore, for a calculation or function deployed on a base station, it is required that its memory space requirement is below a third predetermined threshold, and if the threshold is exceeded, the data exceeding the threshold is placed in a memory outside the base station.
4. The Frequency with which data is Used (denoted as UF (Used Frequency));
the added data recorder records the number of times of calling the data each time, and for the calculation or function deployed on the base station, generally, the usage frequency of the data used by the data is required to exceed a fourth threshold value, for example, the fourth threshold value is 1000 times/s, the data with the frequency exceeding the threshold value is put on the base station, so as to reduce the time of calling the data, and the data with the frequency lower than the threshold value is put outside the base station.
In the following, a manner of calculating nRT RIC distribution deployment characteristic values of an algorithm or a function is described by taking four parameters that satisfy respective threshold conditions as an example, it can be understood that the four parameters have different units and are not comparable, so that the four parameters are normalized or mapped according to predefined conditions, so as to unify the measurements of the four parameters, and after normalization, fitting is performed to determine a characteristic value formula as follows:
R Split ＝k 1 *TC+k 2 *CC+k 3 *BR+k 4 *UF,
wherein: k1+ k2+ k3+ k4=1; if the characteristic value corresponding to the algorithm or the function is calculated to be more than or equal to the preset threshold value; put the function or algorithm outside the base station; otherwise, the function or algorithm is deployed to the base station.
The ways of normalizing TC, CC, BR, UF are many, and the following examples are given:
mode 1, convert the above parameters into decimal between (0,1);
the conversion was carried out by the following formula:
TC/(TC+CC+BR+UF)；
CC/(TC+CC+BR+UF)；
BR/(TC+CC+BR+UF)；
UF/(TC+CC+BR+UF)；
for example, the four parameters are { 2.5.3.5.0.5.1.5 };
solution: 2.5+3.5+0.5+1.5=8;
2.5/8＝0.3125；
3.5/8＝0.4375；
0.5/8＝0.0625；
1.5/8＝0.1875；
the normalization is to change the sum between brackets to 1, then the ratio of each number is written to { 0.3125.4375.0625.1875 }.
In the mode 2, the dimensional expression is changed into a dimensionless expression;
and transforming the dimensional expression into a dimensionless expression to obtain the pure quantity.
The following description will be given by taking a load balancing algorithm as an example, how to determine nRT RIC distribution deployment characteristic values corresponding to the algorithm:
for example, assuming that the preset threshold is 0.8, in the current load balancing algorithm, the real-time TC required by the data service in the cell is 10ms, the computing power requirement CC is 5 ten thousand cycles per second, the storage space requirement BR is 1Gbyte (1024M), and the frequency UF of using the data used by the service in the cell is 1000 times per second, the four parameters are normalized to obtain:
TC＝10/(10+50000+1024+1000)＝10/52034；
CC＝50000/(10+50000+1024+1000)＝50000/52034；
BR＝1024/(10+50000+1024+1000)＝1024/52034；
UF＝1000/(10+50000+1024+1000)＝1000/52034；
and determining the nRT RIC distribution deployment characteristic value corresponding to the algorithm according to the following formula:
R spli t＝k 1 *TC+＝k 2 *CC+＝k 3 *BR+＝k 4 * UF, wherein k1+ k2+ k3+ k4=1;
let k1=1/2, k2= k4=1/8, k3=1/4; the computed nRT RIC distribution deployment characteristic value corresponding to the algorithm is as follows:
1/2*10/52034+1/8*50000/52034+1/4*1024/52034+1/8*1000/52034＝6636/52034≈0.13。
according to the principle that the algorithm or the function with the characteristic value being more than or equal to the preset threshold value is deployed outside the base station, the data service transmission function in the cell in the load balancing algorithm can be deployed on the base station as 0.13 is less than 0.8.
It should be noted that the threshold values for k1, k2, k3, and k4, the preset threshold values, and the respective threshold values of the four parameters participating in the calculation of the feature value may be obtained in a simulation manner.
Step two: deploying functions except the functions deployed on the server in the nRT RIC on the cloud platform;
as shown in fig. 2, a method for deploying nRT RIC functions provided in an embodiment of the present invention specifically includes the following steps:
step 200, the cloud platform determines that an nRT RIC function needs to be executed;
step 201, a cloud platform executes nRT RIC functions deployed on the cloud platform; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management (see deployment scenario two); or a function other than a function deployed on a network-side device in the wireless resource management; the function deployed on the network side equipment is a function which meets the condition of nRT RIC distribution deployment characteristic value in wireless resource management.
Fig. 3 is a schematic diagram of distributed deployment of a first deployment scenario provided in the embodiment of the present invention;
the nRT RIC function deployed on the cloud platform is denoted as part1, the nRT RIC function deployed on the base station is denoted as part2 (the part is an algorithm or a function meeting nRT RIC distribution deployment characteristic values), and the part1 and the part2 form a complete nRT RIC function; the cloud platform and the base station perform data interaction through a proprietary interface; and carrying out data interaction between part2 and the protocol stack in the base station through a standard and open E2 interface.
For example, when the base station wants to establish a DRB through RRC, the base station sends an RB establishment request to the Part2 through the standard E2 interface from RRC, and the Part2 allocates the RB with QoS parameters, transmission modes, administration and mapping rules, etc. that meet the needs of the RB.
According to the scheme, functions except functions deployed on network side equipment in wireless resource management are deployed on the cloud platform, algorithm or function requirements of large storage and large calculated amount are met through an IT technology, and controllable scale expansion of part1 is achieved through a distributed hardware function of the cloud platform, so that flexible expansion of part1 and flexible increase of computing capacity and storage capacity are achieved.
For Part2, the most core radio resource management function of the base station is mainly centralized, and the base station is basically deployed based on the existing hardware and computing resources on the current base station, so that the hardware cost of the base station is minimized.
The Interface connecting the Part1 and the Part2 is a Proprietary Interface (pro Proprietary Interface), and is mainly used for transmitting the interaction of the split private information or parameters between the Part1 and the Part2, so as to ensure the integrity and exclusive right of the manufacturer algorithm and the consistency and unity of the whole nRT RIC. The private interface may be connected by a dedicated physical connection channel, such as a dedicated optical fiber.
And a deployment scheme II: and deploying one part of functions on the server, and deploying the other part of functions on the cloud platform.
In the foregoing embodiment, the functions meeting the nRT RIC distribution deployment characteristic value condition in the wireless resource management are deployed on the base station, and another possible implementation manner is to deploy these functions on the server, and deploy the functions other than the functions deployed on the server in the nRT RIC on the cloud platform; that is to say, all the functions of the nRT RIC are not placed on the base station, as shown in fig. 4, which is a schematic diagram of distribution and deployment of the deployment scheme two according to the embodiment of the present invention.
The manner of determining the function meeting the nRT RIC distribution deployment characteristic value condition may refer to a specific execution step in the deployment scenario one, which is not described herein again.
When the function (part 2) meeting the nRT RIC distribution deployment characteristic value condition is deployed in the server, part1 is deployed in the cloud platform, the cloud platform performs data interaction with the server through a proprietary interface, and the server performs data interaction with the protocol stack of at least one base station through a standard E2 interface, that is, the server can control and manage a plurality of base stations at the same time.
The Part1 is a function of the nRT RIC except a function deployed in the server, and a specific execution manner may refer to the content of the Part1 cloud platform in the first deployment scheme, which is not described herein again.
It should be noted that, in the second deployment scheme, the functions deployed on the server may also be deployed on other cloud platforms or on the cloud platform of part 1.
As shown in fig. 5, an embodiment of the present invention provides a network side device for deploying an nRT RIC function, including: processor 500 and transceiver 501:
the processor 500 is configured to determine, via the transceiver 501, that an nRT RIC function needs to be performed; executing an nRT RIC function deployed on the network-side device; wherein the nRT RIC function deployed on the network side device is a function satisfying nRT RIC distribution deployment characteristic value conditions in wireless resource management.
Optionally, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and (4) except the function of the dynamic resource allocation DRA, wherein the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than the preset threshold value.
Optionally, the processor 500 is specifically configured to determine an nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
Optionally, if the network side device is a base station, the nRT RIC function deployed on the network side device is connected to the protocol stack of the base station through an E2 interface; or
And if the network side equipment is a server or a cloud platform, the function of the nRT RIC deployed on the network side equipment is connected with the protocol stack of at least one base station through an E2 interface.
As shown in fig. 6, the present invention provides a network-side device for nRT RIC function deployment, where the device includes:
at least one processing unit 600 and at least one memory unit 601, wherein the memory unit 601 stores program code that, when executed by the processing unit 600, causes the processing unit 600 to perform the following:
determining that an nRT RIC function needs to be performed; executing an nRT RIC function deployed on the network-side device; the nRT RIC function deployed on the network side device is a function that satisfies nRT RIC distribution deployment characteristic value conditions in wireless resource management.
Optionally, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and (4) except the function of the dynamic resource allocation DRA, wherein the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than the preset threshold value.
Optionally, the processing unit 600 is specifically configured to determine an nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
Optionally, if the network side device is a base station, the nRT RIC function deployed on the network side device is connected to the protocol stack of the base station through an E2 interface; or
And if the network side equipment is a server or a cloud platform, the function of the nRT RIC deployed on the network side equipment is connected with the protocol stack of at least one base station through an E2 interface.
As shown in fig. 7, an embodiment of the present invention provides a cloud platform device for deploying an nRT RIC function, including: processor 700 and transceiver 701:
the processor 700 is configured to determine, via the transceiver 701, that an nRT RIC function needs to be performed; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management; or a function in the wireless resource management except for a function deployed on the network side device; the function deployed on the network side equipment is a function which meets the condition of nRT RIC distribution deployment characteristic value in wireless resource management.
Optionally, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and the nRT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than a function of a first preset threshold.
Optionally, the processor 700 is specifically configured to determine an nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
As shown in fig. 8, the present invention provides a cloud platform device for nRT RIC function deployment, where the device includes:
at least one processing unit 800 and at least one memory unit 801, wherein the memory unit 801 stores program code that, when executed by the processing unit 800, causes the processing unit 800 to perform the following:
determining that an nRT RIC function needs to be performed; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management; or a function other than a function deployed on a network-side device in the wireless resource management; the function deployed on the network side equipment is a function which meets the condition of nRT RIC distribution deployment characteristic value in wireless resource management.
Optionally, the function of satisfying the nRT RIC distribution deployment characteristic value condition is: and the function of which the nrT RIC distribution deployment characteristic value corresponding to the function in the wireless resource management is lower than a first preset threshold value.
Optionally, the processing unit 800 is specifically configured to determine an nRT RIC distribution deployment characteristic value corresponding to the function through some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
In some possible embodiments, the various aspects of deploying nRT RIC functionality provided by embodiments of the present invention may also be implemented in the form of a program comprising program code for causing a computer device to perform the steps of the method of deploying nRT RIC functionality according to various exemplary embodiments of the present invention described in this specification, when the program code is run on the computer device.
The memory unit 801 may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A program for performing a function of deploying nRT RIC according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a server device. In the context of this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an information delivery, apparatus, or device.
A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the periodic network action system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In situations involving remote computing devices, the remote computing devices may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to external computing devices.
The embodiment of the invention also provides a storage medium readable by computing equipment aiming at the method for deploying the nRT RIC function, namely, the content is not lost after the power is cut off. The storage medium stores therein a software program comprising program code which, when executed on a computing device, when read and executed by one or more processors, implements any of the above aspects of embodiments of the present invention for deploying an nRT RIC enabled network-side device.
The embodiment of the invention also provides a readable storage medium of the computing equipment aiming at the method for deploying the nRT RIC function, namely, the content is not lost after the power is cut off. The storage medium has stored therein a software program comprising program code which, when read and executed by one or more processors, implements any of the above schemes for deploying nRT RIC functionality of embodiments of the present invention when said program code is run on a computing device.
The present application is described above with reference to block diagrams and/or flowchart illustrations of methods, apparatus (systems) and/or computer programs according to embodiments of the application. It will be understood that one block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, and/or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer and/or other programmable data processing apparatus, create means for implementing the functions/acts specified in the block diagrams and/or flowchart block or blocks.
Accordingly, the present application may also be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.). Furthermore, the application may take the form of a computer program on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. In the context of this application, a computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (12)

1. A method of deploying nRT RIC functions, the method comprising:
the network side equipment determines that a near real-time wireless intelligent controller nRT RIC function needs to be executed;
the network side equipment executes an nRT RIC function deployed on the network side equipment; the nRT RIC function deployed on the network side device is a function which satisfies that nRT RIC distribution deployment characteristic value is lower than a preset threshold in wireless resource management.
2. The method of claim 1, wherein the nRT RIC distribution deployment characteristic value corresponding to the function is determined by some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
3. The method of claim 1, wherein if the network side device is a base station, the function of nRT RIC deployed on the network side device is connected to the protocol stack of the base station through an E2 interface; or
And if the network side equipment is a server or a cloud platform, the function of the nRT RIC deployed on the network side equipment is connected with the protocol stack of at least one base station through an E2 interface.
4. A method for deploying nRT RIC functions, which is characterized by comprising the following steps:
the cloud platform determines that an nRT RIC function needs to be executed;
the cloud platform executing nRT RIC functions deployed on the cloud platform; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management; or a function other than a function deployed on a network-side device in the wireless resource management; the function deployed on the network side equipment is a function which meets the condition that the nRT RIC distribution deployment characteristic value is lower than a first preset threshold value in wireless resource management.
5. The method of claim 4, wherein the nRT RIC distribution deployment characteristic value corresponding to the function is determined by some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
6. A network side device for deploying nRT RIC function, comprising: a processor and a transceiver:
the processor is configured to determine, via the transceiver, that an nRT RIC function needs to be performed; executing an nRT RIC function deployed on the network-side device; the nRT RIC function deployed on the network side device is a function which satisfies that nRT RIC distribution deployment characteristic value is lower than a preset threshold in wireless resource management.
7. The network-side device of claim 6, wherein the processor is specifically configured to determine the nRT RIC distribution deployment characteristic value corresponding to the function by using some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
8. The network side device of claim 6, wherein if the network side device is a base station, the nRT RIC function deployed on the network side device is connected to the protocol stack of the base station through an E2 interface; or
And if the network side equipment is a server or a cloud platform, the function of the nRT RIC deployed on the network side equipment is connected with the protocol stack of at least one base station through an E2 interface.
9. A cloud platform device for deploying nRT RIC functions, comprising: a processor and a transceiver:
the processor is configured to determine, via the transceiver, that an nRT RIC function needs to be performed; wherein the nRT RIC functions deployed on the cloud platform are functions of radio resource management; or a function other than a function deployed on a network-side device in the wireless resource management; the function deployed on the network side equipment is the function meeting the condition that the nRT RIC distribution deployment characteristic value is lower than a first preset threshold value in the wireless resource management.
10. The cloud platform device of claim 9, wherein the processor is specifically configured to determine an nRT RIC distribution deployment feature value corresponding to the function by some or all of the following parameters:
the real-time requirements of the function;
a computing power requirement of the function;
a storage space requirement for the function;
how often the data used by the function is used.
11. An apparatus for deploying nRT RIC functionality, the apparatus comprising: at least one processing unit and at least one memory unit, wherein the memory unit stores program code that, when executed by the processing unit, causes the processing unit to perform the steps of the method of any of claims 1~3 or the steps of the method of any of claims 4~5.
12. A computer-readable medium, on which a computer program is stored, which program, when executed by a processor, performs the steps of the method of any of claims 1~3 or the steps of the method of any of claims 4~5.
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AU2016344036A1 (en) * 2015-10-31 2018-06-07 Parallel Wireless, Inc. Elastic scheduling
US9798649B1 (en) * 2016-05-04 2017-10-24 Landis+Gyr Innovations, Inc. Debugging code controlling resource-constrained intelligent devices contemporaneously with executing object code
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