CN111628887A - Internet of things slice resource allocation system and method, electronic equipment and storage medium - Google Patents

Internet of things slice resource allocation system and method, electronic equipment and storage medium Download PDF

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Publication number
CN111628887A
CN111628887A CN202010358301.7A CN202010358301A CN111628887A CN 111628887 A CN111628887 A CN 111628887A CN 202010358301 A CN202010358301 A CN 202010358301A CN 111628887 A CN111628887 A CN 111628887A
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China
Prior art keywords
resource
wireless network
slice
chip controller
service request
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CN202010358301.7A
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CN111628887B (en
Inventor
温向明
李晦龄
李航
陈亚文
路兆铭
汪洋
王智慧
汤亿则
孟萨出拉
姚继明
吴鹏
郭云飞
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State Grid Corp of China SGCC
Beijing University of Posts and Telecommunications
China Electric Power Research Institute Co Ltd CEPRI
Global Energy Interconnection Research Institute
Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
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State Grid Corp of China SGCC
Beijing University of Posts and Telecommunications
China Electric Power Research Institute Co Ltd CEPRI
Global Energy Interconnection Research Institute
Information and Telecommunication Branch of State Grid Zhejiang Electric Power Co Ltd
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Priority to CN202010358301.7A priority Critical patent/CN111628887B/en
Publication of CN111628887A publication Critical patent/CN111628887A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0893Assignment of logical groups to network elements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/53Allocation or scheduling criteria for wireless resources based on regulatory allocation policies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/56Allocation or scheduling criteria for wireless resources based on priority criteria

Abstract

The embodiment of the disclosure discloses a system and a method for allocating slicing resources of the Internet of things, electronic equipment and a storage medium, wherein the system comprises an inter-chip controller and an on-chip controller; the inter-chip controller is suitable for receiving a resource service request of a terminal, calculating wireless network resource information required by the resource service request, determining a target slice allocated for the resource service request according to the wireless network resource information, and sending the wireless network resource information to an on-chip controller corresponding to the target slice; and the on-chip controller corresponding to the target slice receives the resource service request and the wireless network resource information sent by the inter-chip controller, and allocates wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.

Description

Internet of things slice resource allocation system and method, electronic equipment and storage medium
Technical Field
The disclosure relates to the technical field of computers, in particular to a system and a method for allocating slice resources of the internet of things, electronic equipment and a storage medium.
Background
In recent years, with the high-speed development and construction of a power grid, diversified service demands, increased data flow and massive terminal devices pose new challenges to the programmability, isolation, customization and other capabilities of the current power communication Network architecture, many defects of the traditional Network cause service and resource providers to find a more dynamic and more predictive resource management system architecture, and a 5G Network slice architecture based on Network Function Virtualization (NFV) technology and Software Defined Networking (SDN) technology is generated due to operation, so that the flexibility of the Network is enhanced, the differentiated service demands are met, and meanwhile, the Network construction cost is saved.
Network slicing is based on virtualization technology, which cuts physical infrastructure resources (e.g., access networks, transport networks, core networks) into multiple logically independent virtual end-to-end logical networks, each of which can obtain the network functions and related resources (e.g., computing, network, memory, and storage resources) needed to meet specific service requirements. The network slice supports high dynamic expansion of a network structure, and can meet the requirements of most of power grid services on high bandwidth, low time delay and large-scale connection in the future. The network slice is introduced to realize the flexible, differentiated and large-scale connection communication capability of the power grid, so that the system cost can be greatly reduced, the communication time delay is reduced and the network service efficiency is improved while the user service quality is ensured. Meanwhile, the use of the network slice can create customized service for users in the power industry, so that the requirements of future power grid service scenes are better met, and the application innovation of energy Internet services is promoted. However, the existing network slicing solution brings higher complexity in calculating the required resource amount, increases the time delay of the user service request response and the calculation amount of resource allocation, and affects the user service quality and the network efficiency. On the other hand, the current situation of lack of radio resources provides a new challenge for resource allocation of current slices, the use scenes of each frequency band are basically specified, the fixed allocation mode of spectrum resources causes that the bandwidth required by emerging services is increased and limited, and the radio bandwidth is difficult to meet the requirement of rapidly increasing mobile data traffic. Most of the existing network slice solutions have defects in the aspects of efficiently utilizing limited spectrum resources, ensuring resource isolation among different slices and among different users, and cannot efficiently utilize resources under the condition of network resource shortage, thereby causing low network benefits.
Disclosure of Invention
The embodiment of the disclosure provides a system and a method for allocating slice resources of the internet of things, electronic equipment and a storage medium.
In a first aspect, an embodiment of the present disclosure provides an internet of things slicing resource allocation system, including an inter-chip controller and an intra-chip controller; wherein the content of the first and second substances,
the inter-chip controller is suitable for receiving a resource service request of a terminal, calculating wireless network resource information required by the resource service request, determining a target slice allocated for the resource service request according to the wireless network resource information, and sending the wireless network resource information to an on-chip controller corresponding to the target slice;
and the on-chip controller corresponding to the target slice receives the resource service request and the wireless network resource information sent by the inter-chip controller, and allocates wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
Further, the on-chip controller is further adapted to obtain a wireless network resource requirement of a terminal allocated in a slice, and predict a wireless network resource required by the slice in a next resource allocation period; and/or the presence of a gas in the gas,
the on-chip controller is also suitable for evaluating the priority of the resource service request of the terminal and distributing wireless network resources for the resource service request according to the priority.
Further, the system further comprises:
the virtual resource management and orchestrator is suitable for dividing physical resource blocks in a system into different physical resource block groups, setting different resource types for each physical resource block group, dividing the physical resource block groups into different slices in advance according to the resource types required by each slice, forming virtual network resource information according to the division results, and feeding the virtual network resource information back to the inter-slice controller.
Further, the on-chip controller feeds back the wireless network resource information allocated to the terminal to the inter-chip controller; the inter-chip controller feeds the wireless network resource information back to the virtual resource management and orchestrator; and the virtual resource management and orchestrator counts the unallocated wireless network resources and types according to the wireless network resource information.
Further, the on-chip controller is further adapted to periodically check the state of the terminal, and after the state of the terminal is switched from the active mode to the idle mode, reallocate the radio network resources released by the terminal to other terminals in the active mode in the slice.
In a second aspect, an embodiment of the present disclosure provides an internet of things slice resource allocation method, where the method is executed on an inter-slice controller, and includes:
receiving a resource service request of a terminal;
calculating wireless network resource information required by the resource service request; the wireless network resource information comprises wireless network resource types and/or physical resource block numbers;
and determining a target slice allocated to the resource service request according to the wireless network resource information, and sending the wireless network resource information to an on-chip controller of the target slice so that the on-chip controller allocates wireless network resources in the target slice to the terminal.
In a third aspect, an embodiment of the present disclosure provides an internet of things slice resource allocation method, where the method is executed on an on-chip controller, and includes:
receiving a resource service request of a terminal currently allocated by an inter-chip controller and wireless network resource information;
and distributing the wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
In a fourth aspect, an embodiment of the present disclosure provides an internet of things slicing resource allocation apparatus, where the apparatus is located in an inter-slice controller, and the apparatus includes:
a first receiving module configured to receive a resource service request of a terminal;
a computing module configured to compute wireless network resource information required by the resource service request; the wireless network resource information comprises wireless network resource types and/or physical resource block numbers;
and the determining module is configured to determine a target slice allocated to the resource service request according to the wireless network resource information, and send the wireless network resource information to an on-chip controller of the target slice, so that the on-chip controller allocates the wireless network resource in the target slice to the terminal.
In a fifth aspect, an embodiment of the present disclosure provides an internet of things slice resource allocation device, where the device is located in an on-chip controller, and includes:
the second receiving module is configured to receive a resource service request of a terminal currently allocated by the inter-chip controller and wireless network resource information;
and the allocation module is configured to allocate the wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
The functions can be realized by hardware, and the functions can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above-described functions.
In one possible design, the structure of the internet of things slice resource allocation device includes a memory for storing one or more computer instructions for supporting the internet of things slice resource allocation device to perform the method described in the fourth aspect and/or the fifth aspect, and a processor configured to execute the computer instructions stored in the memory. The internet of things slice resource allocation device can further comprise a communication interface, and the communication interface is used for the internet of things slice resource allocation device to communicate with other equipment or a communication network.
In a sixth aspect, an embodiment of the present disclosure provides an electronic device, including a memory and a processor; wherein the memory is configured to store one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method of any of the above aspects.
In a seventh aspect, the disclosed embodiment provides a computer-readable storage medium for storing computer instructions for any one of the above apparatuses, which contains computer instructions for performing the method according to any one of the above aspects.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
the embodiment of the disclosure provides a system and a method for allocating slicing resources of the internet of things from the perspective of comprehensive consideration, based on a virtualization technology and combined with the current development situation of the internet of things such as a power communication network, so as to realize the response of terminal requests in the internet of things, the creation of slicing examples, the calculation and estimation of resources required by the slices, and the efficient allocation of the required resources for each slice to meet the specific requirements of different terminals on services of the internet of things, and simultaneously, considering the resource isolation between different slices and terminals in the slices, and improving the utilization rate of wireless resources by monitoring the activity state of the terminals and the multiplexing of the resources.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
Other features, objects, and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. In the drawings:
fig. 1 shows a block diagram of an internet of things slice resource allocation system according to an embodiment of the present disclosure;
fig. 2 shows a flowchart of an internet of things slice resource allocation method according to an embodiment of the present disclosure;
fig. 3 shows a flowchart of an internet of things slice resource allocation method according to another embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating an implementation architecture of an internet of things slice resource allocation system applied to a power grid according to an embodiment of the present disclosure;
fig. 5 shows a block diagram of an internet of things slice resource allocation apparatus according to an embodiment of the present disclosure;
fig. 6 shows a block diagram of an internet of things slice resource allocation apparatus according to another embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an electronic device suitable for implementing an internet of things slice resource allocation method according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.
In the present disclosure, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, behaviors, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, behaviors, components, parts, or combinations thereof may be present or added.
It should be further noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
The details of the embodiments of the present disclosure are described in detail below with reference to specific embodiments.
Fig. 1 shows a block diagram of an internet of things slice resource allocation system according to an embodiment of the present disclosure. As shown in fig. 1, the system for allocating slice resources of the internet of things comprises an inter-slice controller and an intra-slice controller; wherein the content of the first and second substances,
the inter-chip controller is suitable for receiving a resource service request of a terminal, calculating wireless network resource information required by the resource service request, determining a target slice allocated for the resource service request according to the wireless network resource information, and sending the wireless network resource information to an on-chip controller corresponding to the target slice;
and the on-chip controller corresponding to the target slice receives the resource service request and the wireless network resource information sent by the inter-chip controller, and allocates wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
In this embodiment, the internet of things may be, for example, an electric power internet of things, but it is understood that other internet of things are also applicable to the embodiment of the present disclosure.
Taking an electric power internet of things as an example, the physical grid slice resource allocation system in the embodiment of the disclosure may receive resource service requests of a power grid terminal, such as a substation terminal monitoring request, an electric meter data acquisition request, and the like, at a slice example layer by dividing physical resources into a plurality of network slices, define the resource service requests and calculate physical resource requirements according to communication demand characteristics of different power grid services, and construct different service slices to better meet the resource service requirements of different power grid terminals.
The slice instance layer of the slice resource allocation system in the embodiment of the present disclosure at least includes an inter-slice controller and an intra-slice controller; the inter-chip controller is responsible for responding to a resource service request of the terminal to the network slice, processing wireless network resource information, managing the life cycle of the network slice and the like, is used for ensuring the isolation of wireless network resources among the slices, and interacts with other layers in a system architecture; and the on-chip controller is responsible for the distribution of wireless network resources in the slice, ensures the wireless network resource isolation of each terminal in the slice, and distributes the wireless network resources according to the priority of the service when the resource service request exceeds the load bearing of the slice too much.
In some embodiments, after receiving a resource service request of a terminal, an inter-chip controller calculates wireless network resource information required by the resource service request, where the wireless network resource information may include, but is not limited to, the number of physical resource blocks and the type of wireless network resource. The pre-divided network slices can be preset to different resource types according to different physical resources allocated to the network slices, such as dedicated resources, continuous resources, discontinuous resources, and the like. The inter-chip controller may allocate a suitable target slice to the resource service request according to the wireless network resource information, and send the wireless network resource information to the on-chip controller corresponding to the target slice.
In some embodiments, the internet of things slice resource allocation system may create a logical platform on top of physical resources in advance and divide the logical platform into different logical instances, where each logical instance represents a network slice. The wireless network physical resources within the system may be pre-partitioned to different network slices. Different network slices may be managed by different on-chip controllers. For example, n network slices are divided in the system, and m < ═ n on-chip controllers can be set, and in a preferred embodiment, m can be equal to n, that is, the network slices and the on-chip controllers have a one-to-one correspondence relationship. And after the on-chip controller corresponding to the target slice receives the resource service request and the wireless network resource information sent by the inter-chip controller, allocating the wireless network resource in the target slice for the current resource service request of the terminal according to the wireless network resource information so as to be used by the terminal.
In some embodiments, the on-chip controller and the inter-chip controller may be implemented in hardware, for example, the on-chip controller and the inter-chip controller may be implemented in a processor. It is of course understood that in other embodiments, the on-chip controller and the inter-chip controller may be implemented using software.
In an optional implementation manner of this embodiment, the on-chip controller is further adapted to obtain a radio network resource requirement of a terminal allocated in a slice, and predict a radio network resource required by the slice in a next resource allocation period.
In this optional implementation manner, a resource estimation module may be disposed on the on-chip controller, and configured to estimate, according to a wireless network resource requirement of a terminal in a current slice, a resource that may be needed by the slice in a next resource allocation period, so as to provide a reference for the on-chip controller to adjust a resource allocation policy.
In an optional implementation manner of this embodiment, the on-chip controller is further adapted to evaluate a priority of a resource service request of the terminal, and allocate a wireless network resource to the resource service request according to the priority.
In this optional implementation manner, a service evaluation module may be further disposed on the on-chip controller, and configured to evaluate a priority of a resource service request of the terminal, and enable the on-chip controller to allocate available wireless network resources to the terminal according to the priority.
In an optional implementation manner of this embodiment, the system for allocating slice resources of the internet of things further includes: the virtual resource management and orchestrator is suitable for dividing physical resource blocks in a system into different physical resource block groups, setting different resource types for each physical resource block group, dividing the physical resource block groups into different slices in advance according to the resource types required by each slice, forming virtual network resource information according to the division results, and feeding the virtual network resource information back to the inter-slice controller.
In the optional implementation manner, the virtual Resource management and orchestrator optionally combines disjoint Physical Resource blocks PRB into a Physical Resource Block Group (PRBG) according to service requirements; and defining the resource block group PRBG as different resource types (dedicated resources, continuous resources and discontinuous resources) according to a physical resource mapping mode; according to the type of the resource needed by the slices, the PRBG is divided into each slice in advance, and the pre-allocation result is fed back to the inter-slice controller; and virtualizing the wireless resources according to different resource types to form a wireless resource virtual view, wherein the on-chip controller can form the slice resource pool according to the virtual view. Each slice can only see the virtual view of the virtualized resources but cannot see the exact physical frequency position of the virtualized resources, so that other slices are prevented from accessing and even deducing the actual physical resources allocated to the current slice, and the isolation of wireless network resources is effectively guaranteed. The on-chip controller may adapt the radio network resources within a chip to the physical resources when allocating them to the terminal. But such adaptation may not follow the physical resources pre-allocated to the network slice by the virtual resource management and orchestrator, but may be adjusted according to the actual situation. For example, the virtual resource management and orchestrator allocates x physical resource blocks to the current slice, and the on-chip controller may allocate y (y < ═ x) physical resource blocks to the current slice for the terminal to use.
In an optional implementation manner of this embodiment, the intra-chip controller feeds back the radio network resource information allocated to the terminal to the inter-chip controller; the inter-chip controller feeds the wireless network resource information back to the virtual resource management and orchestrator; and the virtual resource management and orchestrator counts the unallocated wireless network resources and types according to the wireless network resource information.
In this optional implementation manner, after the on-chip controller completes the allocation of the on-chip resources, the on-chip controller may feed back a resource allocation result to the inter-chip controller, and the inter-chip controller feeds back the resource allocation result to the virtualized resource layer, and the virtualized resource layer may count the number and type of the unallocated resources, and then adjust the physical resource block groups allocated to the slices.
In an optional implementation manner of this embodiment, the on-chip controller is further adapted to periodically check the state of the terminal, and after the state of the terminal is switched from the active mode to the idle mode, reallocate the radio network resources released by the terminal to other terminals in the active mode in the slice.
In this alternative implementation, a terminal state controller may be further configured to periodically check the state (active or idle) of the terminal, and when the terminal to which the wireless network resource is allocated transitions from the active mode to the idle mode, it will release the allocated resource. Then, the chip controller redistributes the released resources to other terminals in the active mode in the chip, and the resource utilization rate is improved.
The embodiment of the disclosure adopts a two-stage management idea between chips and inside a chip, and improves the utilization rate of wireless resources by combining the active state of a monitoring terminal of an on-chip controller with the reuse of idle resources between chips; while inter-slice and intra-slice resource isolation is achieved by a combination of intra-slice presentation of a virtual view of the wireless resources separate from the physical resource locations and inter-slice allocation of disjoint physical resource blocks. Meanwhile, by predicting the resources possibly required in the next stage, reference is provided for the inter-chip controller to adjust the resource allocation strategy, the complexity in the aspect of calculating the required resource amount is reduced, the service request response time delay is reduced, and the overall system benefit is improved.
Fig. 2 shows a flowchart of an internet of things slice resource allocation method according to an embodiment of the present disclosure. As shown in fig. 2, the method for allocating slice resources of the internet of things includes the following steps:
in step S201, a resource service request of a terminal is received;
in step S202, wireless network resource information required by the resource service request is calculated; the wireless network resource information comprises wireless network resource types and/or physical resource block numbers;
in step S203, a target slice allocated to the resource service request is determined according to the wireless network resource information, and the wireless network resource information is sent to an on-chip controller of the target slice, so that the on-chip controller allocates a wireless network resource in the target slice to the terminal.
In this embodiment, the method is executed on an inter-chip controller of the internet of things slice resource allocation system, and details of the internet of things slice resource allocation system may be referred to the above description of the internet of things slice resource allocation system, which is not described herein again.
In some embodiments, the above method further comprises:
receiving virtualized wireless network resource information sent by a virtual resource management and orchestrator; the virtualized wireless network resource information comprises virtualized information corresponding to physical resource groups pre-allocated to each slice, and each physical resource group comprises a plurality of disjoint physical resource blocks.
In other embodiments, the method further comprises:
receiving an inter-chip resource allocation request of an on-chip controller for a high-priority resource service;
and allocating physical resources in other slices for the high-priority resource service.
Fig. 3 shows a flowchart of an internet of things slice resource allocation method according to another embodiment of the present disclosure. As shown in fig. 3, the method for allocating slice resources of the internet of things includes the following steps:
in step S301, a resource service request of a terminal currently allocated by an inter-chip controller and wireless network resource information are received;
in step S302, the wireless network resource in the current slice is allocated to the resource service request of the terminal according to the wireless network resource information.
In this embodiment, the method is executed on an on-chip controller of the internet of things slice resource allocation system, and details of the internet of things slice resource allocation system may be referred to the above description of the internet of things slice resource allocation system, which is not described herein again.
In some embodiments, the above method further comprises:
and acquiring the wireless resource requirements of the terminals distributed in each slice, and estimating the physical resources required by the slice in the next resource distribution period.
In other embodiments, the method further comprises:
evaluating a priority of the resource service request;
and sending the priority to the on-chip controller of the target slice so that the on-chip controller allocates physical resources to the resource service request according to the priority.
In other embodiments, the method further comprises:
and feeding back the physical wireless network resource information distributed to the terminal to the inter-chip controller.
In other embodiments, the method further comprises:
receiving the priority of the resource service request of the terminal sent by the inter-chip controller;
and after the resource service request distributed to the current slice exceeds a preset threshold, adjusting the physical resource distributed to the resource service request according to the priority.
The embodiment of the disclosure provides a system and a method for allocating slicing resources of the internet of things from the perspective of comprehensive consideration, based on a virtualization technology and combined with the current development situation of the internet of things such as a power communication network, so as to realize the response of terminal requests in the internet of things, the creation of slicing examples, the calculation and estimation of resources required by the slices, and the efficient allocation of the required resources for each slice to meet the specific requirements of different terminals on services of the internet of things, and simultaneously, considering the resource isolation between different slices and terminals in the slices, and improving the utilization rate of wireless resources by monitoring the activity state of the terminals and the multiplexing of the resources.
Fig. 4 shows an implementation architecture diagram of the internet of things slice resource allocation system applied to a power grid according to an embodiment of the present disclosure. As shown in fig. 4, the system architecture may include a slice instance layer, a virtualized resources layer, an infrastructure layer, and a management and orchestration module.
1. The slice example layer can receive communication requests of the power grid terminal, such as power distribution station terminal monitoring, electric meter data acquisition and the like, define service requests and computing resource requirements according to communication requirement characteristics of different power grid services, and construct different service slices to best meet the service requirements of the different power grid terminals.
The slice instance layer may include the following functional components:
(1) the inter-chip controller is responsible for service request response of the chips, wireless network resource information processing and chip life cycle management, ensures inter-chip resource isolation and interacts with other layers in the architecture;
(2) the on-chip controller is responsible for allocating wireless resources in the slice, ensures that each terminal resource in the slice is isolated, and allocates the wireless resources according to the priority of service when the service request exceeds the load bearing capacity of the slice too much;
(3) a service evaluation module for evaluating the requested service and defining a service priority;
(4) the terminal information database stores the terminal information and the resource demand information, and can retrieve the terminal demand from the terminal information database when needed;
(5) a Resource demand calculation module for calculating the number of Physical Resource Blocks (PRBs) required by the terminal service request;
(6) a terminal state controller periodically checks the state (active or idle) of the terminal, and when the terminal to which the resource is allocated is converted from the active mode to the idle mode, it releases the allocated resource. Then, the chip controller redistributes the released resources to other terminals in the active mode in the chip, so that the resource utilization rate is improved;
(7) and the resource pre-estimation module is used for pre-estimating the resources possibly required by the slice in the next resource allocation period according to the wireless resource requirement of the terminal in the current slice, and providing reference for the slice controller to adjust the resource allocation strategy.
2. The resource layer is virtualized, creating a logical platform on top of the physical resources and dividing the platform into different logical instances, where each logical instance represents a slice. The virtualized resource management and orchestrator is responsible for the virtualization of radio resources and allocates appropriate virtual resources for different slices to complete on-demand service data encapsulation for a specific service.
3. The infrastructure layer, which provides the corresponding physical resources, is the infrastructure of the entire system architecture.
4. The management and arrangement module is responsible for the management and control of the network slice architecture, and can include the following functional components:
(1) the network element management is responsible for the communication of each network entity;
(2) the data storage stores resource demand information of all slices, has a resource demand global view angle, dynamically monitors network resource states, periodically calculates resource utilization rate and feeds back the resource utilization rate to the slice controller, and if the utilization rate is too low, the slice controller adjusts a resource allocation mode. The information of the resource estimation module is collected regularly, and the resource allocation among the slices is taken as reference, so that the purposes of efficiently managing the slices and allocating the virtual resources are achieved.
The response flow of the system to the resource service request of the terminal comprises the following steps:
(1) the terminal initiates a service request;
(2) the inter-chip controller receives a terminal service request and transmits service request information to the service evaluation module and the resource demand calculation module;
(3) the service evaluation module carries out priority evaluation on the service request and feeds back the result to the on-chip controller;
(4) the resource demand calculation module calculates the number and the type of the wireless resources required by the service request and feeds back the result to the inter-chip controller;
(5) the on-chip controller carries out wireless resource scheduling and allocates resources to the terminal to meet the service requirement.
The process of the system for the virtualization of the wireless resources comprises the following steps:
(1) selectively combining disjoint Physical Resource blocks PRB into a Physical Resource Block Group (PRBG) according to service requirements;
(2) defining resource block group PRBG as different abstract types (dedicated resource, continuous resource, discontinuous resource) according to physical resource mapping mode;
(3) according to the type of the resource needed by the slices, the PRBG is divided into each slice in advance, and the pre-allocation result is fed back to the inter-slice controller;
(4) and virtualizing the wireless resources according to different abstract types to form a wireless resource virtual view, and forming the slice resource pool by the on-chip controller according to the virtual view. Each slice can only see the virtual view of the virtualized resource but cannot see the exact physical frequency position of the virtualized resource, so that other slices are prevented from accessing and even inferring the resource allocated to the slice, and the resource isolation is effectively guaranteed;
(5) the on-chip controller performs on-chip resource allocation and adapts to the physical resources. This adaptation does not have to follow the pre-allocation at stage 3 and can be adjusted to the actual situation. For example, in step 3, n physical resource blocks are allocated to a slice, and in this step, only m (m ≦ n) physical resource blocks may be allocated to the slice for the terminal to use;
(6) after the on-chip resource allocation is finished, the inter-chip controller feeds back a resource allocation result to the virtualized resource layer, and the virtualized resource layer counts the number and the type of unallocated resources;
(7) the high-priority service can utilize the unallocated resources of other slices to improve the resource multiplexing gain, thereby improving the network resource utilization efficiency.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 5 shows a block diagram of an internet of things slice resource allocation apparatus according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device through software, hardware, or a combination of the two. As shown in fig. 5, the internet of things slice resource allocation device includes:
a first receiving module 501 configured to receive a resource service request of a terminal;
a calculating module 502 configured to calculate wireless network resource information required by the resource service request; the wireless network resource information comprises wireless network resource types and/or physical resource block numbers;
a determining module 503, configured to determine a target slice allocated for the resource service request according to the wireless network resource information, and send the wireless network resource information to an on-chip controller of the target slice, so that the on-chip controller allocates a wireless network resource in the target slice to the terminal.
The device for allocating slice resources of the internet of things in this embodiment corresponds to and is consistent with the method for allocating slice resources of the internet of things in the embodiment and the related embodiments shown in fig. 3, and specific details can be referred to the above description of the method for allocating slice resources of the internet of things in the embodiment and the related embodiments shown in fig. 3, and are not described herein again.
Fig. 6 shows a block diagram of an internet of things slice resource allocation apparatus according to another embodiment of the present disclosure, which may be implemented as part or all of an electronic device through software, hardware or a combination of both. As shown in fig. 6, the internet of things slice resource allocation apparatus includes:
a second receiving module 601, configured to receive a resource service request of a terminal currently allocated by an inter-chip controller and wireless network resource information;
an allocating module 602, configured to allocate the wireless network resource in the current slice for the resource service request of the terminal according to the wireless network resource information.
The device for allocating slice resources of the internet of things in this embodiment corresponds to and is consistent with the method for allocating slice resources of the internet of things in the embodiment and the related embodiments shown in fig. 4, and specific details can be referred to the description of the method for allocating slice resources of the internet of things in the embodiment and the related embodiments shown in fig. 4, and are not described herein again.
Fig. 7 is a schematic structural diagram of an electronic device suitable for implementing an internet of things slice resource allocation method according to an embodiment of the present disclosure.
As shown in FIG. 7, electronic device 700 includes processing unit 701, which may be implemented as a CPU, GPU, FPAG, NPU, or other processing unit. The processing unit 701 may execute various processes in the embodiment of any one of the methods described above of the present disclosure according to a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing unit 701, the ROM702, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to embodiments of the present disclosure, any of the methods described above with reference to embodiments of the present disclosure may be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing any of the methods of the embodiments of the present disclosure. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units or modules described in the embodiments of the present disclosure may be implemented by software or hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.
As another aspect, the present disclosure also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the above-described embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the present disclosure.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Claims (10)

1. An Internet of things slicing resource allocation system comprises an inter-chip controller and an on-chip controller; wherein the content of the first and second substances,
the inter-chip controller is suitable for receiving a resource service request of a terminal, calculating wireless network resource information required by the resource service request, determining a target slice allocated for the resource service request according to the wireless network resource information, and sending the wireless network resource information to an on-chip controller corresponding to the target slice;
and the on-chip controller corresponding to the target slice receives the resource service request and the wireless network resource information sent by the inter-chip controller, and allocates wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
2. The system of claim 1, wherein the on-chip controller is further adapted to obtain radio network resource requirements of terminals allocated within a slice, and to predict radio network resources required for the slice in a next resource allocation period; and/or the presence of a gas in the gas,
the on-chip controller is also suitable for evaluating the priority of the resource service request of the terminal and distributing wireless network resources for the resource service request according to the priority.
3. The system of claim 1 or 2, wherein the system further comprises:
the virtual resource management and orchestrator is suitable for dividing physical resource blocks in a system into different physical resource block groups, setting different resource types for each physical resource block group, dividing the physical resource block groups into different slices in advance according to the resource types required by each slice, forming virtual network resource information according to the division results, and feeding the virtual network resource information back to the inter-slice controller.
4. The system of claim 1 or 2, wherein the on-chip controller feeds back radio network resource information allocated to the terminal to the inter-chip controller; the inter-chip controller feeds the wireless network resource information back to the virtual resource management and orchestrator; and the virtual resource management and orchestrator counts the unallocated wireless network resources and types according to the wireless network resource information.
5. A system according to claim 1 or 2, wherein said on-chip controller is further adapted to periodically check the status of said terminal and to reallocate radio network resources released by said terminal to other terminals in active mode within a chip after switching the status of said terminal from active mode to idle mode.
6. An internet of things slice resource allocation method, executed on an inter-slice controller, comprising:
receiving a resource service request of a terminal;
calculating wireless network resource information required by the resource service request; the wireless network resource information comprises wireless network resource types and/or physical resource block numbers;
and determining a target slice allocated to the resource service request according to the wireless network resource information, and sending the wireless network resource information to an on-chip controller of the target slice so that the on-chip controller allocates wireless network resources in the target slice to the terminal.
7. An internet of things slice resource allocation method, which is executed on an on-chip controller, comprises the following steps:
receiving a resource service request of a terminal currently allocated by an inter-chip controller and wireless network resource information;
and distributing the wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
8. An internet of things slicing resource allocation device, the device located at an inter-slice controller, comprising:
a first receiving module configured to receive a resource service request of a terminal;
a computing module configured to compute wireless network resource information required by the resource service request; the wireless network resource information comprises wireless network resource types and/or physical resource block numbers;
and the determining module is configured to determine a target slice allocated to the resource service request according to the wireless network resource information, and send the wireless network resource information to an on-chip controller of the target slice, so that the on-chip controller allocates the wireless network resource in the target slice to the terminal.
9. An internet of things slicing resource allocation device, the device being located in an on-chip controller, comprising:
the second receiving module is configured to receive a resource service request of a terminal currently allocated by the inter-chip controller and wireless network resource information;
and the allocation module is configured to allocate the wireless network resources in the current slice for the resource service request of the terminal according to the wireless network resource information.
10. An electronic device, comprising a memory and a processor; wherein the content of the first and second substances,
the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the processor to implement the method of any one of claims 6-7.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112367711A (en) * 2020-12-02 2021-02-12 中国联合网络通信集团有限公司 Resource allocation method, device and system for network slices
CN112671562A (en) * 2020-12-14 2021-04-16 全球能源互联网研究院有限公司 Electric power Internet of things network virtualization system and method
CN112770399A (en) * 2020-12-31 2021-05-07 联想(北京)有限公司 Wireless resource scheduling method, device and equipment
CN113473543A (en) * 2021-07-27 2021-10-01 深圳市广和通无线股份有限公司 Method, device, equipment and medium for sharing network slice resources
CN113612635A (en) * 2021-07-29 2021-11-05 西安电子科技大学 Network slice instance resource allocation method based on horizontal/vertical expansion and contraction combination

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104219788A (en) * 2014-09-29 2014-12-17 王波 Access method and access device of Internet-of-Things terminal
CN106954267A (en) * 2017-04-14 2017-07-14 北京邮电大学 A kind of method for managing resource cut into slices based on wireless network
CN107071782A (en) * 2017-04-01 2017-08-18 北京邮电大学 The wireless resource allocation methods cut into slices based on network
WO2018188767A1 (en) * 2017-04-13 2018-10-18 NEC Laboratories Europe GmbH Joint iot broker and network slice management component
US20180367980A1 (en) * 2017-06-19 2018-12-20 Samsung Electronics Co., Ltd. Method and apparatus for network virtualization and session management
CN109218046A (en) * 2017-06-30 2019-01-15 中国移动通信有限公司研究院 The management method and system and storage medium of network slice
CN109379754A (en) * 2018-12-18 2019-02-22 国家电网有限公司 A kind of network in wireless access network is sliced optimization method
CN110740477A (en) * 2018-07-18 2020-01-31 中国移动通信集团重庆有限公司 Method, manager, device and medium for managing network slice information

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104219788A (en) * 2014-09-29 2014-12-17 王波 Access method and access device of Internet-of-Things terminal
CN107071782A (en) * 2017-04-01 2017-08-18 北京邮电大学 The wireless resource allocation methods cut into slices based on network
WO2018188767A1 (en) * 2017-04-13 2018-10-18 NEC Laboratories Europe GmbH Joint iot broker and network slice management component
CN106954267A (en) * 2017-04-14 2017-07-14 北京邮电大学 A kind of method for managing resource cut into slices based on wireless network
US20180367980A1 (en) * 2017-06-19 2018-12-20 Samsung Electronics Co., Ltd. Method and apparatus for network virtualization and session management
CN109218046A (en) * 2017-06-30 2019-01-15 中国移动通信有限公司研究院 The management method and system and storage medium of network slice
CN110740477A (en) * 2018-07-18 2020-01-31 中国移动通信集团重庆有限公司 Method, manager, device and medium for managing network slice information
CN109379754A (en) * 2018-12-18 2019-02-22 国家电网有限公司 A kind of network in wireless access network is sliced optimization method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨德龙等: "基于网络切片的能源互联网系统架构", 《电力信息与通信技术》 *
马璐等: "服务化的5G 核心网切片管理系统研究与实现", 《北京邮电大学学报》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112367711A (en) * 2020-12-02 2021-02-12 中国联合网络通信集团有限公司 Resource allocation method, device and system for network slices
CN112367711B (en) * 2020-12-02 2024-02-09 中国联合网络通信集团有限公司 Resource allocation method, device and system for network slice
CN112671562A (en) * 2020-12-14 2021-04-16 全球能源互联网研究院有限公司 Electric power Internet of things network virtualization system and method
CN112671562B (en) * 2020-12-14 2023-05-05 全球能源互联网研究院有限公司 Electric power internet of things network virtualization system and method
CN112770399A (en) * 2020-12-31 2021-05-07 联想(北京)有限公司 Wireless resource scheduling method, device and equipment
CN112770399B (en) * 2020-12-31 2023-05-02 联想(北京)有限公司 Wireless resource scheduling method, device and equipment
CN113473543A (en) * 2021-07-27 2021-10-01 深圳市广和通无线股份有限公司 Method, device, equipment and medium for sharing network slice resources
CN113473543B (en) * 2021-07-27 2024-03-15 深圳市广和通无线股份有限公司 Network slice resource sharing method, device, equipment and medium
CN113612635A (en) * 2021-07-29 2021-11-05 西安电子科技大学 Network slice instance resource allocation method based on horizontal/vertical expansion and contraction combination
CN113612635B (en) * 2021-07-29 2022-08-12 西安电子科技大学 Network slice instance resource allocation method based on combination of horizontal and vertical expansion and contraction

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