METHODS AND SYSTEMS FOR ENABLING CI-CD IN WIRELESS NETWORK
20220330063 · 2022-10-13
Inventors
- Joseph THALIATH (Bangalore, IN)
- Deepanshu GAUTAM (Bangalore, IN)
- Avinash BHAT (Bangalore, IN)
- Sukhdeep SINGH (Bangalore, IN)
Cpc classification
H04W24/06
ELECTRICITY
International classification
Abstract
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by an operation, administration and maintenance (OAM) controller for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system is provided. The method includes transmitting, to a network slice management service (NSMS) consumer, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC); receiving, from the NSMS consumer, a trigger test response based on the request to trigger the test upgraded technique; and configuring at least one user equipment (UE) with at least one test slice identifier based on the trigger test response.
Claims
1. A method performed by an operation, administration and maintenance (OAM) controller for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system, the method comprising: transmitting, to a network slice management service (NSMS) consumer, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC); receiving, from the NSMS consumer, a trigger test response based on the request to trigger the test upgraded technique; and configuring at least one user equipment (UE) with at least one test slice identifier based on the trigger test response.
2. The method of claim 1, wherein the request to trigger the test upgraded technique is based on at least one of a UE capability required for a testing at least one feature, a UE characteristic, or a trigger deployment of the at least one UE configured with a test slice created to test an OAM technique in at least one geographical location, and wherein the request to trigger the test upgraded technique is used for testing purpose in a fifth generation (5G) slice network resource model (NRM).
3. The method of claim 1, wherein the at least one UE is configured with the at least one test slice identifier based on an availability of radio and cloud resources, availability of the at least one UE, and an operator defined restriction, and wherein the at least one UE is selected based on at least one of a location of at least one network node in which an OAM technique is executed, a load condition of the at least one network node, a UE characteristic, or a UE capability.
4. The method of claim 1, further comprising: transmitting, to the NSMS consumer, a request to stop testing; receiving, from the NSMS consumer, a stop test response based on the request to stop testing; and reconfiguring the at least one UE to remove the at least one test slice identifier.
5. The method of claim 1, further comprising: transmitting, to the NSMS consumer, a request to modify a test configuration, wherein the request to modify the test configuration comprises the at least one parameter indicated as part of the test network slice IOC, and the at least one parameter comprises at least one of a new NF to be upgraded, new features to be tested, update test parameters or an update deployment location; receiving, from the NSMS consumer, a modify test response based on the request to modify the test configuration; and reconfiguring the at least one UE to remove or add the at least one test slice identifier based on the modify test response.
6. A method performed by a network slice management service (NSMS) consumer, for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system, the method comprising: receiving, from an operation, administration and maintenance (OAM) controller, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC); generating at least one test slice identifier based on the request to trigger the test upgraded technique; and transmitting, to the OAM controller, a trigger test response including the at least one test slice identifier based on the request to trigger the test upgraded technique, wherein at least one user equipment (UE) is configured to with the at least one test slice identifier.
7. The method of claim 6, wherein the request to trigger the test upgraded technique is based on at least one of a UE capability required for a testing at least one feature, a UE characteristic, or a trigger deployment of the at least one UE configured with a test slice created to test an OAM technique in at least one geographical location, and wherein the request to trigger the test upgraded technique is used for testing purpose in a fifth generation (5G) slice network resource model (NRM).
8. The method of claim 6, wherein the at least one UE is configured with the at least one test slice identifier based on an availability of radio and cloud resources, availability of the at least one UE, and an operator defined restriction, and wherein the at least one UE is selected based on at least one of a location of at least one network node in which an OAM technique is executed, a load condition of the at least one network node, a UE characteristic, or a UE capability.
9. The method of claim 6, further comprising: receiving, from the OAM controller, a request to stop testing; triggering an NSI de-allocating based on a test duration; and transmitting, to the OAM controller, a stop test response based on the request to stop testing, wherein the at least one UE is reconfigured to remove the at least one test slice identifier.
10. The method of claim 6, further comprising: receiving, from the OAM controller, a request to modify a test configuration, wherein the request to modify the test configuration comprises the at least one parameter indicated as part of the test network slice IOC, and the at least one parameter comprises at least one of a new NF to be upgraded, new features to be tested, update test parameters or an update deployment location; and transmitting, to the OAM controller, a modify test response based on the request to modify the test configuration, wherein the at least one UE is reconfigured to remove or add the at least one test slice identifier based on the modify test response.
11. An operation, administration and maintenance (OAM) controller for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system, the OAM controller comprising: a transceiver; and a processor configured to: transmit, to a network slice management service (NSMS) consumer via the transceiver, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC), receive, from the NSMS consumer via the transceiver, a trigger test response based on the request to trigger the test upgraded technique, and configure at least one user equipment (UE) with at least one test slice identifier based on the trigger test response.
12. The OAM controller of claim 11, wherein the request to trigger the test upgraded technique is based on at least one of a UE capability required for a testing at least one feature, a UE characteristic, or a trigger deployment of the at least one UE configured with a test slice created to test an OAM technique in at least one geographical location, and wherein the request to trigger the test upgraded technique is used for testing purpose in a fifth generation (5G) slice network resource model (NRM).
13. The OAM controller of claim 11, wherein the at least one UE is configured with the at least one test slice identifier based on an availability of radio and cloud resources, availability of the at least one UE, and an operator defined restriction, and wherein the at least one UE is selected based on at least one of a location of at least one network node in which an OAM technique is executed, a load condition of the at least one network node, a UE characteristic, or a UE capability.
14. The OAM controller of claim 11, wherein the processor is further configured to: transmit, to the NSMS consumer via the transceiver, a request to stop testing, receive, from the NSMS consumer via the transceiver, a stop test response based on the request to stop testing, and reconfigure the at least one UE to remove the at least one test slice identifier.
15. The OAM controller of claim 11, wherein the processor is further configured to: transmit, to the NSMS consumer via the transceiver, a request to modify a test configuration, wherein the request to modify the test configuration comprises the at least one parameter indicated as part of the test network slice IOC, and the at least one parameter comprises at least one of a new NF to be upgraded, new features to be tested, update test parameters or an update deployment location, receive, from the NSMS consumer via the transceiver, a modify test response based on the request to modify the test configuration, and reconfigure the at least one UE to remove or add the at least one test slice identifier based on the modify test response.
16. A network slice management service (NSMS) consumer, for facilitating continuous integration and continuous deployment (CI-CD) in a wireless communication system, the NSMS consumer comprising: a transceiver; and a processor configured to: receive, from an operation, administration and maintenance (OAM) controller via the transceiver, a request to trigger a test upgraded technique for a network function (NF), wherein the request to trigger the test upgraded technique comprises at least one parameter indicated as part of a test network slice information object class (IOC), generate at least one test slice identifier based on the request to trigger the test upgraded technique, and transmit, to the OAM controller via the transceiver, a trigger test response including the at least one test slice identifier based on the request to trigger the test upgraded technique, wherein at least one user equipment (UE) is configured to with the at least one test slice identifier.
17. The NSMS consumer of claim 16, wherein the request to trigger the test upgraded technique is based on at least one of a UE capability required for a testing at least one feature, a UE characteristic, or a trigger deployment of the at least one UE configured with a test slice created to test an OAM technique in at least one geographical location, and wherein the request to trigger the test upgraded technique is used for testing purpose in a fifth generation (5G) slice network resource model (NRM).
18. The NSMS consumer of claim 16, wherein the at least one UE is configured with the at least one test slice identifier based on an availability of radio and cloud resources, availability of the at least one UE, and an operator defined restriction, and wherein the at least one UE is selected based on at least one of a location of at least one network node in which an OAM technique is executed, a load condition of the at least one network node, a UE characteristic, or a UE capability.
19. The NSMS consumer of claim 16, wherein the processor is further configured to: receive, from the OAM controller via the transceiver, a request to stop testing, trigger an NSI de-allocating based on a test duration, and transmit, to the OAM controller, a stop test response based on the request to stop testing, wherein the at least one UE is reconfigured to remove the at least one test slice identifier.
20. The NSMS consumer of claim 16, wherein the processor is further configured to: receive, from the OAM controller via the transceiver, a request to modify a test configuration, wherein the request to modify the test configuration comprises the at least one parameter indicated as part of the test network slice IOC, and the at least one parameter comprises at least one of a new NF to be upgraded, new features to be tested, update test parameters or an update deployment location, and transmit, to the OAM controller via the transceiver, a modify test response based on the request to modify the test configuration, wherein the at least one UE is reconfigured to remove or add the at least one test slice identifier based on the modify test response.
Description
BRIEF DESCRIPTION OF DRAWINGS
[0031] The above and other aspects, features, and advantages of certain embodiments of the disclosure will be more apparent from the following description taken in conjunction with the accompanying drawings, in which:
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[0044] The same reference numerals are used to represent the same elements throughout the drawings.
DETAILED DESCRIPTION
[0045] The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of various embodiments of the disclosure as defined by the claims and their equivalents. It includes various specific details to assist in that understanding but these are to be regarded as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the various embodiments described herein can be made without departing from the scope and spirit of the disclosure. In addition, descriptions of well-known functions and constructions may be omitted for clarity and conciseness.
[0046] The terms and words used in the following description and claims are not limited to the bibliographical meanings, but, are merely used by the inventor to enable a clear and consistent understanding of the disclosure. Accordingly, it should be apparent to those skilled in the art that the following description of various embodiments of the disclosure is provided for illustration purpose only and not for the purpose of limiting the disclosure as defined by the appended claims and their equivalents.
[0047] It is to be understood that the singular forms “a,” “an,” and “the” include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to “a component surface” includes reference to one or more of such surfaces.
[0048] The embodiments herein achieve methods for facilitating continuous integration and continuous deployment (CI-CD) in Fifth Generation (5G) networks. The method includes sending, by an Operations, Administration and Maintenance (OAM) controller, a request to trigger test upgraded technique for a network function (NF) to a Network Slice Management Service (NSMS) consumer. The request includes a parameter indicated as part of a test network slice Information Object Class (IOC). The parameter includes test slice information, managed function information test duration, a pre-emption indicator, and a use prediction and procedures to be tested. Further, the method includes receiving, by the OAM controller, a trigger test response from the NSMS consumer based on the request to trigger test upgraded technique. Further, the method includes configuring, by the OAM controller, at least one user equipment (UE) with a test slice identifier based on the trigger test response.
[0049] Referring now to the drawings, and more particularly to
[0050] Based on the proposed method, the ability to test upgraded network nodes in a live network will increase the agility of 5G networks. The network slicing can be used to assist in live testing. A test slice can be created/deployed, consisting the upgraded network functions, for testing purpose. The basic principles of the live testing should be: [0051] 1. Test-slice creation with appropriate information e.g., test cases, test duration, target network nodes etc. [0052] 2. Automatic UE selection: The UE to be assigned to the test network slice can be selected minimizing the impact of testing; e.g., the UEs can be selected based on the location of the network nodes where the upgraded software is deployed. This can be based on the current load conditions of the Network nodes. UEs can also be selected based on the UE characteristics like UE mobility and UE capabilities like Dual connectivity. [0053] 3. Deployment location selection for the upgraded node: The location of the node can be selected minimizing the impact of testing; e.g., the location of the Networks nodes that needs to be upgraded and tested can be selected based on load conditions of the Network nodes at a given time. The location of the node can also be based on the availability of UEs for testing in a given location. [0054] 4. Feature testing: It should be possible to select a set of features, among the list of all features, to be tested. For example, if Network function next generation NodeB (gNB) centralized unit (CU) is upgraded with features X, Y, Z but feature Y has dependency on the next generation (NG) interface with 5G core (5GC). In this case, only feature X, Z should be tested till the 5GC is also upgraded with feature Y. [0055] 5. Drone UE: The test UE (operator controlled) can be created and deployed in the target location.
X.1.2 Requirements
[0056] 1. REQ-CICD-FUN-1: The third generation partnership project (3GPP) Management system shall be able to support testing the upgraded software in the live network. [0057] 2. REQ-CICD-FUN-1: The 3GPP Management system shall be able to support creating/deploying a slice for testing the upgraded network functions in the live network. [0058] 3. REQ-CICD-FUN-1: The 3GPP Management system shall be able to support selecting appropriate UE(s) to be assigned to the test slice minimizing the service impacts, if any. [0059] 4. REQ-CICD-FUN-1: The 3GPP Management system shall be able to support selecting appropriate location for the upgrade network functions deployment minimizing the service impacts, if any. [0060] 5. REQ-CICD-FUN-1: The 3GPP Management system shall be able to support testing partial feature testing of the upgraded network functions.
[0061] Based on the proposed method, a new network slice IOC is modelled exclusively for testing purpose in the 5G slice Network Resource Model (NRM). The method can reuse existing NetworkSlice IOC. An optional testSliceInfo informational element for testing purpose can be added. The method can create a new testNetworkSlice IOC.
[0062] Based on the proposed method, the CI-CD mechanism will result in expedite network deployments. The CI-CD mechanism used in information technology (IT) domains can also be achieved in telecom domain using the proposed method. The proposed method will allow operators to test new features and bug fixes directly in production environment with no service impact.
[0063]
[0064] Referring to
[0065]
[0066] Referring to
[0067]
[0068] Referring to
[0069]
[0070] Referring to
[0071] The proposed method can provide a better CI/CD mechanisms which will result in expedite network deployments. The proposed method can be used to achieve CI/CD mechanisms used in IT domains in telecom domain. The proposed method allows the operators to test new features and bug fixes directly in a production environment with no service impact.
[0072]
[0073] Referring to
[0074] The CI-CD controller (140) is configured to send the request to trigger test upgraded technique for the NF to the NSMS consumer (200). The request includes the parameter indicated as part of the test network slice IOC. The parameter can be, for example, but not limited to a test slice information, a managed function information test duration, a pre-emption indicator, and a use prediction and procedures to be tested. The request to trigger test upgraded technique for the NF to the NSMS consumer (200) is based on the UE capability required for the testing the feature, UE characteristic, and trigger deployment of UEs (500) configured with the test slice created to test the OAM technique in the geographical location. The request to trigger test upgraded technique for the NF to the NSMS consumer (200) is used for testing purpose in the 5G slice NRM.
[0075] Based on the request to trigger test upgraded technique, the CI-CD controller (140) is configured to receive a trigger test response from the NSMS consumer (200). Based on the trigger test response, the CI-CD controller (140) configures the UE (500) with the test slice identifier. The UE (500) with the test slice identifier is configured based on based on the availability of radio and cloud resources, availability of the UE (500), and an operator defined restriction. The UE (500) is selected based on the location of the network node in which the OAM technique is executed, the load condition of the network node, the UE characteristics and a UE capability.
[0076] Further, the CI-CD controller (140) is configured to send the request to stop testing to the NSMS consumer (200). Based on the request to stop testing, the CI-CD controller (140) is configured to receive the stop test response from the NSMS consumer (200). Further, the CI-CD controller (140) reconfigures the UE (500) to remove the test slice ID.
[0077] Further, the CI-CD controller (140) is configured to send the request to modify test configuration to the NSMS consumer (200). The request includes the parameter indicated as part of the test Network slice IOC. The parameter can be, for example, but not limited to the new NF to be upgraded, the new features to be tested, the update test parameters, and the update deployment location. Further, the CI-CD controller (140) is configured to receive the modify test response from the NSMS consumer (200) based on the request to modify test configuration. Based on the modify test response, the CI-CD controller (140) reconfigures the UE (500) to remove the test slice ID or add the test slice ID.
[0078] Further, the CI-CD controller (140) is configured to determine whether test slice is activated or deactivated based on an availability of the UE (500) for testing. Based on the determination, the CI-CD controller (140) is configured to send the request to one of activate test NSI and deactivate test NSI to the NSMS consumer (200). Based on the request, the CI-CD controller (140) is configured to receive the modify test response from the NSMS consumer (200). Further, the CI-CD controller (140) is configured to reconfigure the UE (500) to remove the test slice ID or add the test slice ID based on the modify test response.
[0079] The CI-CD controller (140) is physically implemented by analog or digital circuits such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits, or the like, and may optionally be driven by firmware.
[0080] Further, the processor (110) is configured to execute instructions stored in the memory (130) and to perform various processes. The communicator (120) is configured for communicating internally between internal hardware components and with external devices via one or more networks. The memory (130) also stores instructions to be executed by the processor (110). The memory (130) may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of erasable programmable read only memories (EPROMs) or electrically erasable programmable ROMs (EEPROMs). In addition, the memory (130) may, in some examples, be considered a non-transitory storage medium. The term “non-transitory” may indicate that the storage medium is not embodied in a carrier wave or a propagated signal. However, the term “non-transitory” should not be interpreted that the memory (130) is non-movable. In certain examples, a non-transitory storage medium may store data that can, over time, change (e.g., in Random Access Memory (RAM) or cache).
[0081] Further, at least one of the pluralities of modules/controller may be implemented through the AI model using a data driven controller (not shown). The data driven controller can be an ML model based controller and AI model based controller. A function associated with the AI model may be performed through the non-volatile memory, the volatile memory, and the processor (110). The processor (110) may include one or a plurality of processors. At this time, one or a plurality of processors may be a general purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and/or an AI-dedicated processor such as a neural processing unit (NPU).
[0082] The one or a plurality of processors control the processing of the input data in accordance with a predefined operating rule or AI model stored in the non-volatile memory and the volatile memory. The predefined operating rule or artificial intelligence model is provided through training or learning.
[0083] Here, being provided through learning means that a predefined operating rule or AI model of a desired characteristic is made by applying a learning algorithm to a plurality of learning data. The learning may be performed in a device itself in which AI according to an embodiment is performed, and/o may be implemented through a separate server/system.
[0084] The AI model may comprise of a plurality of neural network layers. Each layer has a plurality of weight values, and performs a layer operation through calculation of a previous layer and an operation of a plurality of weights. Examples of neural networks include, but are not limited to, convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), restricted Boltzmann Machine (RBM), deep belief network (DBN), bidirectional recurrent deep neural network (BRDNN), generative adversarial networks (GAN), and deep Q-networks.
[0085] The learning algorithm is a method for training a predetermined target device (for example, a robot) using a plurality of learning data to cause, allow, or control the target device to make a determination or prediction. Examples of learning algorithms include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.
[0086] Although
[0087]
[0088] Referring to
[0089] The CI-CD controller (240) is configured to receive the request to trigger test upgraded technique for the NF from the OAM controller (100). The request includes the parameter indicated as part of the test network slice IOC. Based on the request, the CI-CD controller (240) is configured to create the test slice identifier. Based on the created test slice identifier, the CI-CD controller (240) is configured to allocate the NSI request to the NSMS producer (300). Further, the CI-CD controller (240) is configured to receive the NSI response from the NSMS producer (300) based on the NSI request.
[0090] Further, the CI-CD controller (240) is configured to receive the request to stop testing from the OAM controller (100) and trigger de-allocating NSI based on the test duration. Further, the CI-CD controller (240) is configured to receive the request to activate test NSI and deactivate test NSI from the OAM controller (100) and determine to activate or deactivate test slice if pre-emption condition is satisfied.
[0091] The CI-CD controller (240) is physically implemented by analog or digital circuits such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits, or the like, and may optionally be driven by firmware.
[0092] Further, the processor (210) is configured to execute instructions stored in the memory (230) and to perform various processes. The communicator (220) is configured for communicating internally between internal hardware components and with external devices via one or more networks. The memory (230) also stores instructions to be executed by the processor (210). The memory (230) may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. In addition, the memory (230) may, in some examples, be considered a non-transitory storage medium. The term “non-transitory” may indicate that the storage medium is not embodied in a carrier wave or a propagated signal. However, the term “non-transitory” should not be interpreted that the memory (230) is non-movable. In certain examples, a non-transitory storage medium may store data that can, over time, change (e.g., in Random Access Memory (RAM) or cache).
[0093] Further, at least one of the pluralities of modules/controller may be implemented through the AI model using a data driven controller (not shown). The data driven controller can be an ML model based controller and AI model based controller. A function associated with the AI model may be performed through the non-volatile memory, the volatile memory, and the processor (210). The processor (210) may include one or a plurality of processors. At this time, one or a plurality of processors may be a general purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and/or an AI-dedicated processor such as a neural processing unit (NPU).
[0094] The one or a plurality of processors control the processing of the input data in accordance with a predefined operating rule or AI model stored in the non-volatile memory and the volatile memory. The predefined operating rule or artificial intelligence model is provided through training or learning.
[0095] Here, being provided through learning means that a predefined operating rule or AI model of a desired characteristic is made by applying a learning algorithm to a plurality of learning data. The learning may be performed in a device itself in which AI according to an embodiment is performed, and/o may be implemented through a separate server/system.
[0096] The AI model may comprise of a plurality of neural network layers. Each layer has a plurality of weight values, and performs a layer operation through calculation of a previous layer and an operation of a plurality of weights. Examples of neural networks include, but are not limited to, convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), restricted Boltzmann Machine (RBM), deep belief network (DBN), bidirectional recurrent deep neural network (BRDNN), generative adversarial networks (GAN), and deep Q-networks.
[0097] The learning algorithm is a method for training a predetermined target device (for example, a robot) using a plurality of learning data to cause, allow, or control the target device to make a determination or prediction. Examples of learning algorithms include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.
[0098] Although
[0099]
[0100] Referring to
[0101] The CI-CD controller (440) is configured to receive the NSSI request from the NSMS producer (300). The request includes the parameter indicated as part of the test network slice IOC. Based on the NSSI request, the CI-CD controller (440) is configured to perform NS instantiation and NF provisioning and send the NSSI response to the NSMS producer (300), where the NSSI response indicates NS instantiation and NF provisioning.
[0102] Further, the CI-CD controller (440) is configured to receive the de-allocation NSSI request from the NSMS producer (300). Based on the de-allocation NSSI request, the CI-CD controller (440) is configured to perform NS termination and NF provisioning and send the de-allocation NSSI response to the NSMS producer (300), where the NSSI response indicates NS termination and NF provisioning.
[0103] Further, the CI-CD controller (440) is configured to receive the modify NSSI request from the NSMS producer (300) and perform NS modification and NF provisioning based on the modify NSSI request. Further, the CI-CD controller (440) is configured to send the modify NSSI response to the NSMS producer (300), where the modify NSSI response indicates NS modification and NF provisioning. The modify NSSI request corresponds to a change in an operational state.
[0104] The CI-CD controller (440) is physically implemented by analog or digital circuits such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits, or the like, and may optionally be driven by firmware.
[0105] Further, the processor (410) is configured to execute instructions stored in the memory (430) and to perform various processes. The communicator (420) is configured for communicating internally between internal hardware components and with external devices via one or more networks. The memory (430) also stores instructions to be executed by the processor (410). The memory (430) may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories. In addition, the memory (430) may, in some examples, be considered a non-transitory storage medium. The term “non-transitory” may indicate that the storage medium is not embodied in a carrier wave or a propagated signal. However, the term “non-transitory” should not be interpreted that the memory (430) is non-movable. In certain examples, a non-transitory storage medium may store data that can, over time, change (e.g., in Random Access Memory (RAM) or cache).
[0106] Further, at least one of the pluralities of modules/controller may be implemented through the AI model using a data driven controller (not shown). The data driven controller can be a machine learning (ML) model based controller and artificial intelligence (AI) model based controller. A function associated with the AI model may be performed through the non-volatile memory, the volatile memory, and the processor (410). The processor (410) may include one or a plurality of processors. At this time, one or a plurality of processors may be a general purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and/or an AI-dedicated processor such as a neural processing unit (NPU).
[0107] The one or a plurality of processors control the processing of the input data in accordance with a predefined operating rule or AI model stored in the non-volatile memory and the volatile memory. The predefined operating rule or artificial intelligence model is provided through training or learning.
[0108] Here, being provided through learning means that a predefined operating rule or AI model of a desired characteristic is made by applying a learning algorithm to a plurality of learning data. The learning may be performed in a device itself in which AI according to an embodiment is performed, and/o may be implemented through a separate server/system.
[0109] The AI model may comprise of a plurality of neural network layers. Each layer has a plurality of weight values, and performs a layer operation through calculation of a previous layer and an operation of a plurality of weights. Examples of neural networks include, but are not limited to, convolutional neural network (CNN), deep neural network (DNN), recurrent neural network (RNN), restricted Boltzmann Machine (RBM), deep belief network (DBN), bidirectional recurrent deep neural network (BRDNN), generative adversarial networks (GAN), and deep Q-networks.
[0110] The learning algorithm is a method for training a predetermined target device (for example, a robot) using a plurality of learning data to cause, allow, or control the target device to make a determination or prediction. Examples of learning algorithms include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.
[0111] Although
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[0113] The operations S802 to S806 are performed by the CI-CD controller (140).
[0114] Referring to
[0115]
[0116] The operations S902 to S908 are performed by the CI-CD controller (240).
[0117] Referring to
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[0119] The operations S1002 and S1006 are performed by the CI-CD controller (440).
[0120] Referring to
[0121]
[0122] The
[0123] In an example, a drone UE can be automatically deployed based on the trigger deployment of the drone UEs configured with the new test slices created to test the upgraded software in different geographical locations. Embodiments herein select the deployment location of the upgraded software for testing. The deployment location can be selected based on the availability of radio and cloud resources, the availability of the selected UEs (e.g., UEs 100a, 100b, 100c, and 100d) and operator defined restrictions.
[0124]
[0125] Referring to
[0126] Option 1 (Table 1 is to use the existing NetworkSlice IOC with new testSliceInfo):
TABLE-US-00001 <NetworkSlice> <testSliceInfo></testSliceInfo> <NetworkSliceSubnet> </NetworkSliceSubnet> </NetworkSlice>
[0127] Option 2 (Table 2 is to use new testNetworkSlice IOC):
TABLE-US-00002 <TestNetworkSlice> <testSliceInfo></testSliceInfo> <NetworkSliceSubnetRef> <ServiceProfileRef> <SliceProfileRef> </NetworkSlice>
[0128] The existing slice profile and service profile can be reused for creation of the test slices. The references of existing NetworkSlice and NetworkSliceSubnet IOC can be reused. The testSliceInfo and its parameters are new additions, required in the 3GPP TS 28.541 specifications.
[0129] At operation 1206, Network Slice allocation procedures according to 3GPP TS 28.531 are executed. At operation 1208, the instance of Network slice IOC with testSliceInfo or TestNetworkSlice IOC is created and activated. At operation 1210, the UEs (500) that are required for the testing (e.g., operator controlled drones) can be configured with these slice IDs. The UEs (500) selected for testing can be: [0130] 1. Based on UE capability (Carrier aggregation, Dual connectivity capability). [0131] 2. Based on UE characteristics (Based on User Mobility (which can be determined based on UemobilityLevel)). [0132] 3. Based on UE RRC State (which can be determined based on the UE history information stored with the operator).
[0133] If the UE with the above criteria does not exist or if there is an operator restriction not to use customer Ues, then Trigger deployment of the drone Ues configured with the new slices created to test the upgraded software in different geographical locations based on the testing location criteria.
[0134] Selection of deployment location of the test software in the field can be based on: [0135] a. the availability of radio and cloud resources; [0136] b. the availability of UE selected; and [0137] c. operator defined restrictions.
[0138] At operation 1212, if further upgrade of any managed element is required or any modification of the TestNetworkSlice IOC instance is required, Network slicing modification procedures can be triggered, according to 3GPP TS 28.531. Additional Managed element can be included with new software package and new features. Parameters like coverageArea, maxNumberofConns, kPlMonitoring can be modified based on the test configuration changes, UE selection and deployment location updates.
TABLE-US-00003 TABLE 1 New Attributes for the existing Networkslice IOC Attributes Description operationalState Existing parameter administrativeState Existing parameter serviceProfileList Existing parameter networkSliceRef Existing parameter networkSliceSubnetRef Existing parameter testSliceInfo >> Managed Function This parameter is a list of Information (List) ManagedElement that needs to be upgraded to test the new feature. List of feature IDs that needs to be activated for each ManagedElement that is upgraded. This parameter is a list of software versions for the ManagedElement to be upgraded to test the new feature. >>Test duration The slice can be deactivated after completion of this duration. 1. Total testing time (e.g. 200 hours). 2. Minimum Continuous testing period (e.g. 24 hours). >> Pre-emption indicator This parameter is a Boolean value indicating if the slice can be pre-empted and deactivated during high load scenarios and there is resource constraint. >> Use Prediction Use of AI/ML To determine the ideal timings for the test based on the scenarios to tested. To determine the location area to be tested based on Scenarios and configurations required for the testing. >> Procedures This could be list of 3GPP procedures to be tested (e.g. RRC connection setup, handover etc.). This can be used to decide the geographical location where the test slices need to be deployed and when it needs to be deployed.
TABLE-US-00004 TABLE 2 New TestNetworkSlice IOC Attributes Description operationalState Existing parameter administrativeState Existing parameter serviceProfileList Existing parameter networkslice Existing parameter networkSliceSubnet Existing parameter testSliceInfo >> Managed Function This parameter is a list of Information (List) ManagedElement that needs to be upgraded to test the new feature. List of feature IDs that needs to be activated for each ManagedElement that is upgraded. This parameter is a list of software versions for the ManagedElement to be upgraded to test the new feature. >>Test duration The slice can be deactivated after completion of this duration. 1. Total testing time (e.g. 200 hours). 2. Minimum Continuous testing period (e.g. 24 hours). >> Pre-emption indicator This parameter is a Boolean value indicating if the slice can be pre-empted and deactivated during high load scenarios and there is resource constraint. >> Use Prediction Use of AI/ML To determine the ideal timings for the test based on the scenarios to tested. To determine the location area to be tested based on Scenarios and configurations required for the testing. >> Procedures to This could be list of 3GPP procedures be tested (e.g. RRC connection setup, handover etc.). This can be used to decide the geographical location where the test slices need to be deployed and when it needs to be deployed.
[0139] The various actions, acts, blocks, steps, operations, or the like in the flow charts (S800-S1000 and S1200) may be performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some of the actions, acts, blocks, steps, operations, or the like may be omitted, added, modified, skipped, or the like without departing from the scope of the disclosure.
[0140] The embodiments disclosed herein can be implemented through at least one software program running on at least one hardware device and performing network management functions to control the elements.
[0141] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation.
[0142] While the disclosure has been shown and described with reference to various embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims and their equivalents.