CN115734229A - Resource pre-estimation method and related equipment - Google Patents
Resource pre-estimation method and related equipment Download PDFInfo
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- CN115734229A CN115734229A CN202111015646.3A CN202111015646A CN115734229A CN 115734229 A CN115734229 A CN 115734229A CN 202111015646 A CN202111015646 A CN 202111015646A CN 115734229 A CN115734229 A CN 115734229A
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Abstract
The embodiment of the application discloses a resource estimation method and related equipment, which are used for reasonably estimating and planning access network resources. The method in the embodiment of the application comprises the following steps: acquiring communication system parameters and service requirements of a target service; determining the access network requirement according to the service requirement; and determining first resource configuration information according to the communication system parameters and the access network requirements, wherein the first resource configuration information is information of first access network resources allocated to the target service.
Description
Technical Field
The embodiment of the application relates to the field of communication, in particular to a resource pre-estimation method and related equipment.
Background
The communication technology is applied in an enterprise (to business, to B) oriented scene, and needs to meet the business requirements in the area. The service requirement may include requirements of delay, rate, reliability, and the like.
In order to meet the above service requirements, appropriate communication resources need to be planned, and currently, there is no accurate planning method, which can configure sufficient and not excessively redundant communication resources for the service requirements.
Disclosure of Invention
The embodiment of the application provides a resource pre-estimation method and related equipment, which are used for reasonably pre-estimating and planning access network resources.
In a first aspect, an embodiment of the present application provides a resource estimation method, including:
acquiring communication system parameters and service requirements of a target service; determining the access network requirement according to the service requirement; and determining first resource configuration information according to the communication system parameters and the access network requirements, wherein the first resource configuration information is information of first access network resources allocated to the target service.
In the embodiment of the application, the communication system parameter reflects the air interface resource which can be provided by the communication system; the service requirement of the target service reflects the air interface resource required by the service. The first resource configuration information is determined according to the communication system parameters and the service requirements, the resources are configured based on the requirements and the capacity of the communication system, appropriate air interface resources can be provided based on the target service, and excessive redundancy of the communication resources can be prevented while the service requirements are met.
In one possible implementation, the business requirements include: at least one of a rate requirement, a latency reliability requirement, and a user concurrency requirement.
In one possible implementation, the communication system parameters include: at least one of operator, frequency band, bandwidth, time slot ratio, system and far, middle and near point position information of users.
The standard may be 4G, and besides 4G, the standard may also be 5G, time Division Duplexing (TDD), frequency Division Duplexing (FDD), and the like, which is not limited herein.
In a possible implementation manner, the step of determining the access network requirement according to the service requirement may specifically include: determining the access network requirement according to the service decomposition algorithm and the service requirement; the step of determining the first resource configuration information according to the communication system parameter and the access network requirement may specifically include: and obtaining first resource configuration information according to the access network requirements, communication system parameters and a resource pre-estimation algorithm.
In the embodiment of the application, the first resource configuration information is determined through a service decomposition algorithm and a resource pre-estimation algorithm, the algorithm is expandable and high in flexibility, and the flexibility of the method shown in the embodiment of the application is improved.
In a possible implementation manner, the step of obtaining the first resource configuration information according to the access network requirement, the communication system parameter, and the resource estimation algorithm may specifically include: determining a scheduling period corresponding to the communication system parameters according to the communication system parameters; determining the packet loss rate BLER required by an access network according to the requirement of the access network; determining the inherent resources occupied by the access network according to the system signaling configuration and/or the system symbol configuration; determining the frequency spectrum efficiency and the number of space division layers according to the SINR and the BLER; and obtaining first resource configuration information according to the scheduling period, the packet loss rate BLER, the inherent resources, the frequency spectrum efficiency, the number of space division layers and a resource estimation algorithm.
The number of space division layers is the number of Multiple Input Multiple Output (MIMO) layers. Optionally, the number of space division layers may be a number of single-user multiple input multiple output (SU MIMO) layers, or a number of multi-user multiple input multiple output (MU MIMO) layers.
In a possible implementation manner, the step of determining the spectrum efficiency and the number of space division layers according to the SINR and the packet loss ratio BLER may specifically include: determining a Modulation and Coding Scheme (MCS) order and a space division layer number according to the SINR and the BLER; and determining the spectral efficiency according to the order of the modulation coding scheme.
In the embodiment of the application, the RTT baseline can be inquired through the MCS order and the number of space division layers, and the spectrum efficiency is determined.
In a possible implementation manner, the step of determining the order of the modulation and coding scheme according to the packet loss ratio BLER and the SINR may specifically include: inquiring a modulation coding scheme MCS order-packet loss rate BLER grade table according to the SINR, and determining the order of the modulation coding scheme; an MCS order-BLER level table comprises BLER level table items corresponding to target levels; the target level includes 10 -2 Grade, 10 -3 Grade, 10 -4 Grade, and 10 -n At least one of grades, wherein n is greater than or equal to 6.
In the embodiment of the present application, the MCS order-BLER level table is also called MCS base line, and currently only 10 -1 Grade sum 10 -5 The MCS base line of the level, the embodiment of the application expands the BLER level range suitable for the MCS base line.
In one possible embodiment, the business requirements include requirements of a target business within a target area; first resource configuration information comprising: the number of base stations allocated to the target service in the target area.
In the embodiment of the application, the number of base stations allocated to the target service in the target area is determined, so that sufficient access network resources which are not excessively redundant can be provided for the target service in the target area through the base stations with the number.
In one possible embodiment, the traffic demand comprises a demand for a target traffic within a target cell; first resource configuration information, comprising: and allocating the proportion of the air interface resources of the target service in the target cell.
In the real-time application, the target service in the target cell is a slice service, which is used as a unit for dividing resources in the cell. By the method of the embodiment of the application, appropriate access network resources are divided for the slices in the cell, and smooth operation of services in the slices is ensured.
In a possible embodiment, after determining the first resource configuration information, the method further comprises: determining the current air interface quality and/or RB number, wherein the RB number represents the number of scheduling resources used by a single network device for providing service for a target service; and determining second resource configuration information according to the communication system parameters, the access network requirements, the air interface quality and/or the RB number, wherein the second resource configuration information is the information of second access network resources allocated to the target service.
In this embodiment of the present application, the quality of the air interface and/or the number of RBs reflect a communication state of a network device that provides access network resources for a target service. After the first resource configuration information is determined, if a proper communication state cannot be guaranteed based on the first resource configuration information, the resource allocation of the access network is adjusted according to the communication state, so that the allocated access network resources can be more adaptive to the actual access network state, and the normal operation of the target service is ensured.
In a possible embodiment, after determining the first resource configuration information, the method further comprises: and sending first resource configuration information to the network equipment, wherein the first resource configuration information is used for the network equipment to provide first access network resources for the target service.
In the embodiment of the application, the network management equipment performs resource estimation and allocation and sends the allocation result (the first resource allocation information) to the network equipment, and the network equipment only needs to provide access network resources for a target service based on the first resource allocation information and does not need to determine the allocation of the access network resources through other operations, so that the operation resources of the network equipment are saved.
In a possible implementation, after determining the first resource configuration information, the method further includes: and providing the first access network resource for the target service according to the first resource configuration information.
In the embodiment of the application, the estimation and allocation of the access network resources and the action of providing the access network resources for the target service are realized by the network equipment, and the network equipment does not need to obtain the allocation result (first resource configuration information) from other equipment, so that the time delay of providing the access network resources for the target service is reduced, and the efficiency is improved.
In a second aspect, an embodiment of the present application provides a network management device, including a processor and a memory, where the processor is coupled to the memory;
a memory for storing a program;
a processor for executing the program in the memory so that the processor performs the data processing method of the first aspect.
In a third aspect, an embodiment of the present application provides a network device, including a processor and a memory, where the processor is coupled with the memory;
a memory for storing a program;
a processor for executing the program in the memory so that the processor performs the data processing method of the first aspect.
In a fourth aspect, an embodiment of the present application provides a chip, including at least one processor and an interface;
the interface is used for providing program instructions or data for at least one processor;
at least one processor is configured to execute the program instructions to implement the method of the first aspect.
In a fifth aspect, the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed, the method of the first aspect is implemented.
In a sixth aspect, an embodiment of the present application provides a computer program product, where the computer program product includes: computer program code for implementing the method of the first aspect when executed.
Advantageous effects of the second to sixth aspects are referred to the first aspect, and are not described herein.
Drawings
Fig. 1 is a schematic view of an application scenario of a resource estimation method according to an embodiment of the present application;
fig. 2 is a schematic network architecture diagram of a resource estimation method according to an embodiment of the present application;
FIG. 3 is a schematic flowchart of a resource estimation method according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a resource estimation method according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of another network architecture of a resource estimation method according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a network management device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a network device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a chip according to an embodiment of the present application.
Detailed Description
As shown in fig. 1, fig. 1 is a schematic diagram of a possible application scenario applicable to this embodiment, and includes a terminal device 110 and an access network device 120. Terminal device 110 and access network device 120 may communicate with each other to effect data transmission.
Optionally, in the network architecture shown in fig. 1, a core network device 130 may also be included. Terminal device 110 may be wirelessly connected to access network device 120, and access network device 120 may be connected to core network device 130 in a wired or wireless manner. Core network device 130 and access network device 120 may be separate and distinct physical devices, or core network device 130 and access network device 120 may be the same physical device having all/part of the logical functions of core network device 130 and access network device 120 integrated thereon.
In the network architecture shown in fig. 1, the terminal device 110 may be fixed or mobile, and is not limited. The network architecture shown in fig. 1 may further include other network devices, such as a wireless relay device and a wireless backhaul device, without limitation. In the architecture shown in fig. 1, the number of terminal devices, access network devices, and core network devices is not limited.
The technical scheme in the embodiment of the application can be applied to various communication systems. Such as Long Term Evolution (LTE) system, fifth generation (5 g) mobile communication system, and future mobile communication system.
Some terms or expressions used in the present application are explained below, and the terms or expressions are also included as a part of the summary of the invention.
1. And (4) terminal equipment.
A terminal device, which may be referred to as a terminal for short, also called a User Equipment (UE), is a device with a radio transceiving function. The terminal equipment can be deployed on land, including indoors or outdoors; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, drones, balloons, satellites, etc.). The terminal device may be a mobile phone, a tablet computer, a Personal Digital Assistant (PDA), a computer with a wireless transceiving function, a virtual reality terminal device, an augmented reality terminal device, a wireless terminal device in industrial control, a wireless terminal device in telemedicine, a wireless terminal device in a smart grid, a wireless terminal device in a smart city, and a wireless terminal device in a smart home. The terminal equipment may also be fixed or mobile. The embodiments of the present application do not limit this.
2. Network device
The network device may be an access network device, and the access network device may also be referred to as a Radio Access Network (RAN) device, which is a device providing a wireless communication function for the terminal device. Access network equipment includes, for example but is not limited to: a next generation base station (gbb) in 5G, an evolved node B (eNB), a baseband unit (BBU), a Transmit and Receive Point (TRP), a Transmission Point (TP), a base station in a future mobile communication system or an access point in a WiFi system, and the like. The access network device may also be a wireless controller, a Centralized Unit (CU), and/or a Distributed Unit (DU) in a Cloud Radio Access Network (CRAN) scenario, or the network device may be a relay station, a vehicle-mounted device, a network device in a PLMN network that is evolved in the future, and the like.
The terminal device may communicate with multiple access network devices of different technologies, for example, the terminal device may communicate with an access network device supporting Long Term Evolution (LTE), may communicate with an access network device supporting 5G, and may simultaneously communicate with an access network device supporting LTE and an access network device supporting 5G. The embodiments of the present application are not limited.
In some toB scenarios, such as an industrial park, an intelligent orchard base, etc., a user puts forward a Service Level Agreement (SLA) requirement on communication quality in the park, where the SLA requirement is an Agreement agreed between a communication Service provider and a communication user, and the Agreement defines the type of Service provided by the communication Service provider for the communication user, the quality of Service, and a commitment to the performance and reliability of the user for guaranteeing Service.
For example, in different scenarios, there are SLA requirements as shown in table 1 below:
TABLE 1
In these scenarios, sufficient communication resources need to be provided in order to meet the requirements of the SLA. In the process of establishing an access network for a park, a public network and the like, communication resources required by a scene need to be estimated based on SLA requirements. In the embodiment of the present application, the SLA requirements are also referred to as service requirements.
Currently, there is no accurate communication resource pre-estimation scheme, which can allocate sufficient and not excessively redundant communication resources for service requirements.
As shown in fig. 2, an embodiment of the present application provides a network architecture, which includes a network management device and an access network device, where the access network device may be the access network device 120 in fig. 1, and is configured to provide access network resources for a terminal device of a target service. The network management equipment comprises a service demand decomposition module and a resource estimation module and is used for realizing the estimation and distribution of the access network resources according to the service demand of the target service and the communication system parameters of the access network equipment. Optionally, the architecture may further include a user interaction interface, configured to enable the network management device to obtain a service requirement of the target service and a communication system parameter of the access network device.
Optionally, the network management device may be an Operation Support System (OSS), and the network management device may also be other devices besides the OSS, such as a network management server, and the like, which is not limited herein. Hereinafter, the method according to the embodiment of the present application will be described with OSS as the network management device, which does not cause limitation to the network management device.
As shown in fig. 3, based on the architecture shown in fig. 2, the embodiment of the present application provides a resource estimation method, which may be executed by a network management device, or may also be executed by a chip in the network management device. Next, taking the network management device as an OSS as an example, the method shown in fig. 3 is described, where the method may include the following operations:
301. and acquiring communication system parameters and the service requirement of the target service.
The OSS obtains communication system parameters representing parameters of communication resources that the access network device is capable of providing. Alternatively, the network management device may obtain the communication system parameters from the user interaction interface through the communication system parameter table shown in table 2. The header is a description of the items included in the table, and the filling description is used for indicating the user to fill the corresponding table entry.
TABLE 2
It is noted that table 2 is merely an example of a table of parameters of a communication system, and more or less information may be included in the table, which is not limited herein.
It should be noted that, besides through the user interaction interface, the network management device may also obtain the communication system parameters through other manners, such as a human-machine interface, a machine-machine interface, and the like, which is not limited herein.
Optionally, the content in the entry may be configured in advance by the operator, the user only needs to select one or more access network devices with different configurations, and the OSS obtains the selection result of the access network device of the user, that is, the communication system parameter of the access network device selected by the user can be obtained according to the parameter configured in advance by the operator.
The communication system parameters may include a network performance baseline, which is used to represent a signal to interference plus noise ratio (SINR) range for far, middle, far and excellent points (far, middle, near and excellent points), as shown in table 3. Through the network performance baseline, the excellent point range, the near point range, the middle point range and the far point range near the access network equipment can be distinguished according to the SINR value.
TABLE 3
Optionally, the network performance baseline may further represent a Reference Signal Receiving Power (RSRP) range of the far, middle and far extreme points, and may distinguish an excellent point range, a near point range, a middle point range and a far point range near the access network device according to the RSRP value, which is not limited herein.
Optionally, the RSRP and/or SINR may be RSRP and/or SINR of a synchronization signal and PBCH block (SSB), which is not limited herein.
The network performance baseline defines an excellent near-middle-far point range near the access network equipment, the area range of the excellent near-middle-far point near the access network equipment can be tested according to the network performance baseline, the division of the area range is presented to a user, and the user determines the ratio of the far-middle-near excellent points in the following table 4 based on the actual position of the terminal equipment.
Optionally, in addition to the division of the far, middle and near superiority points, in the embodiment of the present application, the range near the access network device, the corresponding network performance baseline, and the manner of determining the range according to the SINR value or the RSRP value may also be divided in a grid form, see the description in table 3 above, and are not described here again.
The OSS obtains the service requirement of the target service. Optionally, the network management device may obtain the service requirement from the user interaction interface through the service requirement table shown in table 4. The header is a description of the items included in the table, and the filling description is used for indicating the user to fill in the corresponding table entry.
TABLE 4
It should be noted that table 4 shows various items included in the service requirement, and specific parameters of some or all of the items may be filled in according to different application scenarios, for example, items such as a client name, a UC number, and the like are filled in the example of table 4.
It is noted that table 4 is only an example of a service requirement table, and more or less information may be included in the table, which is not limited herein.
It should be noted that, besides through the user interaction interface, the network management device may also obtain the service requirement of the target service through other manners, such as a human-machine interface, a machine-machine interface, and the like, which is not limited herein.
Optionally, the service requirement may include a requirement of a target service in the target area, and in this scenario, the OSS is configured to determine the number of base stations that need to be deployed in the target area to meet the requirement of the target service.
302. And determining the access network requirement according to the service requirement.
The service requirement is the requirement of the target service on the whole communication network, and the OSS can distribute the service requirement to different parts such as an access network, a transmission network, a core network and the like through the service requirement, so as to obtain the requirement of the access network.
For example, taking the E2E delay requirement in table 3 as an example, the OSS may obtain a formula 2 according to a delay calculation formula (formula 1), and then calculate the delay requirement of the access network part according to the formula 2. Wherein, T E2E Representing the total delay, T, from end to end (E2E) UE Representing the time delay, T, of the target service at the terminal device AN Indicating the delay, T, of the target service in the access network TN Representing the time delay, T, of the target service in the transmission network CN Representing the delay of the target service in the core network.
T E2E ＝T UE +T AN +T TN +T CN 8230A formula 1
In the formula 2, T Access network Indicating a delay requirement, T, in the access network requirements Business requirements Representing the E2E latency requirement in the traffic demand.
In the embodiment of the present application, formula 2 is also referred to as a service decomposition algorithm, and the service decomposition algorithm is used for decomposing a service requirement to obtain an access network requirement. It should be noted that formula 2 is only an example of the service decomposition algorithm, and the service decomposition algorithm may also be used to calculate other access network requirements, such as an uplink transmission rate, a downlink message length, and the like, which is not limited herein.
303. And determining first resource configuration information according to the communication system parameters and the access network requirements, wherein the first resource configuration information is information of first access network resources allocated to the target service.
The communication system parameter indicates an access network resource that can be provided by the access network device, the access network requirement indicates an access network resource required to complete the target service, and the OSS may determine information of the access network resource allocated to the target service according to the communication system parameter and the access network requirement, which is referred to as first resource configuration information in this embodiment of the present application.
Optionally, the first resource configuration information may include a cell number. Since the number of cells that can be supported by one base station is fixed, the number of cells depends on the number of base stations, and therefore, in the embodiment of the present application, determining the number of cells is equivalent to determining the number of base stations, and is not limited herein.
Optionally, the OSS may determine the first configuration information through a resource prediction algorithm. As shown in fig. 4, the OSS calculates the following 4 parameters according to the communication system parameters and the access network requirements, respectively: 1. a scheduling period; 2. packet loss rate BLER; 3. inherent resources; 4. spectral efficiency and number of spatial division layers. These 4 parameters are described below:
1. and scheduling a period.
And the OSS determines a scheduling period corresponding to the communication system parameters according to the communication system parameters. Specifically, the OSS may determine the number of slots of the scheduling period according to a slot configuration (slot configuration) in a parameter of the communication system; then, determining the length of the time slot according to subcarrier spacing (SCS) in the communication system parameters; and determining a scheduling period according to the product of the number of the time slots and the length of the time slots. For example, in the case that the slot ratio shown in table 2 is 7+3 and the subcarrier spacing is 30kHz, the scheduling period is determined to be 7+3=10slot, and the slot length corresponding to the subcarrier spacing of 30kHz is determined to be 0.5ms, so that the scheduling period is determined to be 10 × 0.5ms =5ms. Wherein, the scheduling period is the period scheduled by the access network equipment.
Optionally, after the scheduling period is determined, the OSS may further determine the number of uplink and downlink scheduling units of each scheduling period according to the timeslot ratio. For example, if the timeslot ratio in table 2 is 7.
The requirements for the scheduling unit are also different for different access network requirements. For example, if the access network requirements include rate requirements, the rate (datarate) of each scheduling unit (resource block, RB) is user rate/(scheduling period x number of scheduling units). Alternatively, if the access network requirement includes a delay requirement, it may require one scheduling unit RB in the scheduling period to transmit the received data completely, in this case, the rate of each scheduling unit is x (scheduling period/packet transmission interval).
2. Packet error rate (BLER).
And the OSS determines the packet loss rate BLER corresponding to the access network requirement according to the access network requirement.
The determination method of the packet loss rate BLER is different for different access network requirements. For example, if the access network requirement includes a rate requirement, the corresponding BLER may be directly obtained according to the rate requirement of the access network.
Optionally, when the target service is a service of different users, the delay reliability requirement of the corresponding application may be determined according to different grades of the users, so as to provide corresponding BLER for different applications.
3. The inherent resources.
The OSS determines the inherent resource occupied by the access network according to the system signaling configuration and/or the system symbol configuration in the communication system parameters. The system signaling configuration includes configuration information of control signaling, and the system symbol configuration includes symbol configurations other than data symbols in a subframe, such as pilot symbol configuration and the like; both the system signaling configuration and the system symbol configuration are used for determining inherent resources occupied by the transmission of other contents except the transmission of service data in the access network.
Optionally, the inherent resource is determined, and the OSS may also determine a resource minimum element (RE) number in each scheduling unit RB according to the inherent resource. Optionally, the number of REs in the RB may be set to be the number of subcarriers × the number of symbols — the number of symbols occupied by the inherent resource.
4. Spectral efficiency and number of spatial separation layers.
And the OSS determines the frequency spectrum efficiency and the number of space division layers according to the SINR and the BLER.
Through the network performance baseline, the OSS may query an SINR value of a terminal device in a corresponding area (e.g., near point), so that the OSS may query an MCS baseline according to the SINR value of the terminal device, and determine a Modulation and Coding Scheme (MCS) order; the OSS may also determine the number of space division layers based on the antenna number configuration and user location in the communication system parameters; and inquiring an RTT base line based on the determined MCS order and the number of space division layers, and determining the corresponding spectrum efficiency.
For the determination of the spectral efficiency and the number of spatial separation layers, the following two baselines need to be determined in advance:
a) MCS rank selection baseline.
Illustratively, the BLER level is 10 -1 The MCS rank selection baseline for the levels is shown in table 5:
TABLE 5
For different packet loss rate (reliability) BLER levels, different MCS step baselines are constructed, e.g., BLER can be 10 -2 Class 10 -3 Grade, 10 -4 Grade, and 10 -n At least one of the grades, wherein n is greater than or equal to 6. By constructing MCS order selection baselines with different BLER levels, the estimation accuracy and efficiency of MCS order selection can be effectively improved.
b) RTT demodulates the baseline.
For example, the RTT demodulation baseline may be as shown in table 6:
TABLE 6
Different traffic scenarios (industrial manufacturing, ports, etc.) have different BLER. Therefore, in the embodiment of the application, RTT demodulation baselines inquired in different scenes are different, and the estimation accuracy can be improved.
Optionally, RTT demodulation baselines in different industries may be constructed through on-site channel characteristic measurement and simulation.
As shown in fig. 4, after determining 4 parameters, namely, the scheduling period, the packet loss ratio BLER, the inherent resource, and the spectral efficiency and the number of space division layers, the 4 parameters may be input into a resource estimation algorithm to obtain first resource configuration information through calculation.
Optionally, a service scenario may also be determined through a resource pre-estimation algorithm, and the service scenario may be determined according to a service requirement.
In different application scenarios, the service requirements are different, and the obtained first resource configuration information is also different, and the following description will be given by taking the scenario of cell (base station) number calculation and slice resource reservation as an example:
it should be noted that there may be multiple target services, and multiple target services may be allocated to multiple base stations or cells for communication, or may be allocated to the same base station or cell for communication, which is not limited herein.
1) Cell (base station) number calculation scenario.
Illustratively, when the traffic demand includes a demand for a target service within the target area, the first resource configuration information includes a number of base stations allocated to the target service within the target area.
The OSS divides a target area into a plurality of areas according to a base station coverage or service deployment area, and inputs CASE requirements of the areas, wherein the CASE requirements represent service requirements, and each industry corresponds to one CASE;
(a) The OSS calculates the number of the time delay required cells:
the number of available RBs of the scheduling unit = the total number of RBs of the scheduling unit — the number of RBs of the channel overhead (inherent resource), and specific reference is made to the description of the inherent resource, which is not described herein again.
Optionally, for a scenario with low latency requirement,
wherein, the value of X is determined according to the time delay processing capacity of the product and the like.
(b) When the OSS allocates the scheduling resources of the cell, the scheduling resources can be allocated to the service requiring time delay, and then the unallocated scheduling resources in the cell are allocated to the non-time delay service, so that the number of the cells can not be increased by the resources allocated to the non-time delay service; optionally, these scheduling resources allocated to non-latency traffic may be used to achieve rate requirements.
The number of RBs allocated to non-delay service = the total number of RBs required by the target service rate-the number of delay cells x (the number of scheduling units of a scheduling cycle-the number of scheduling units occupied by delay) x the number of RBs available for each scheduling unit; the target service may be a single-user service or a multi-user service, which is not limited herein.
(c) And then calculating the number of the rate required cells:
wherein, the number of remaining RBs needed by the target service rate is the service remaining without resource allocation after allocating scheduling resources in the delay cell for the non-delay service in step (b).
(d) The number of cells within the target area is then calculated:
the number of cells in the target area = the number of cells required for time delay + the number of cells required for rate;
in the calculation process, the number of the cells is rounded up; and the number of the cells is respectively calculated in the uplink and downlink directions, and finally the maximum value in the uplink and downlink calculation results is taken.
If the target service needs to deploy terminal equipment in more than one area, the number of cells needed in multiple areas needs to be calculated, and the total number of cells in the areas is obtained by adding the number of cells.
2) Slice resource reservation scenarios.
Illustratively, when the service requirement includes a requirement of a target service in the target cell, specifically, a requirement of the target service allocated to the same slice in the target cell, the first resource configuration information includes a proportion of air interface resources allocated to the target service in the target cell.
The OSS needs to plan in advance, determine the CASE requirements of a single cell, and reserve resources in units of cells.
The average value, the minimum value or the maximum value of the reserved proportion can be determined by multiplying the reserved proportion by different redundancy coefficients according to the value strategies of all input parameters in the resource and estimation algorithm and different application scenes of the slice.
The total RB number of the target service scheduling unit in the slice can be obtained by referring to a 3GPP standard according to channel bandwidth and subcarrier spacing. The target service may be a single-user service or a multi-user service, which is not limited herein.
Optionally, the reservation ratio may be calculated and reserved in uplink and downlink directions respectively.
Optionally, the method in the embodiment of the present application may also implement that the allocation of the intra-cell slice resources is completed while determining the number of base stations in the target area.
It should be noted that the scenario of calculating the number of cells (base stations) and reserving slice resources is only an example of an application scenario of the embodiment of the present application, and based on the architecture and the method of the embodiment of the present application, the access network configuration may also be determined in other scenarios, which is not limited herein.
Optionally, after step 304, the OSS may transmit first resource configuration information to the access network device, and the access network device receives the first resource configuration information and provides access network resources for the terminal device of the target service according to the first resource configuration information.
304. And determining the current air interface quality and/or RB number.
Optionally, after step 303, the OSS may further receive a current air interface quality and/or RB number from the access network device; the number of RBs is the number of scheduling resources used by a single network device (access network device) serving the target service.
305. And determining second resource configuration information according to the current air interface quality and/or RB number, wherein the second resource configuration information is information of second access network resources allocated to the target service.
The current quality of the air interface and/or the number of RBs reflect the communication state of the access network equipment providing access network resources for the target service, and whether the access network equipment meets the service requirement of the target service currently can be known according to the current quality of the air interface and/or the number of RBs; if not, the access network resources allocated to the target service are re-planned to obtain second resource configuration information.
For example, if the number of RBs allocated to the target service is 300, but the current number of RBs is 280, a base station or a cell needs to be reallocated for the target service to provide more RB resources; or, the terminal of the target service is allocated in the area of the midpoint of the base station, but actually, the quality of the air interface in the area does not meet the quality requirement of the air interface at the midpoint (for example, the SINR value is too low), and then, phenomena such as too high packet loss rate may occur, so that the target service needs to be subdivided into a very good near-to-middle-to-far range, and then, access network resources are reallocated.
It should be noted that, the steps 304 and 305 are optional steps, and the steps 304 and 305 may not be executed, which is not limited herein.
In the embodiment of the application, the information (supply) of the access network resources which can be provided by the access network equipment is determined through the communication system resources, and the information (demand) of the access network resources required by the target service is determined through the service demand, so that the access network resources are reasonably distributed based on the supply and the demand, and insufficient or excessive redundancy of the distributed resources is avoided.
Optionally, in this embodiment of the present application, the functions of the network management device in fig. 2 or fig. 3 may also be integrated on the access network device. As shown in fig. 5, the service decomposition module, the resource pre-estimation (resource allocation module) and the status monitoring module on the network management device in fig. 2 are all integrated on the access network device. Based on the network architecture shown in fig. 5, the process shown in fig. 3 may be implemented, where in the architecture shown in fig. 5, an execution main body of each step in fig. 3 is access network equipment, and details are not described here again.
The method provided by the embodiment of the application is explained above, and the equipment for realizing the method is explained below.
Referring to fig. 6, an embodiment of the present application provides a network management device 600, which includes a processor 601 and a memory 602, where the processor 601 is coupled to the memory 602;
a memory 602 for storing programs;
the processor 601 is configured to execute the program in the memory 602, so that the processor 601 executes the steps executed by the network management device in any one of the foregoing embodiments in fig. 3 to fig. 4, thereby implementing the corresponding resource estimation method.
Referring to fig. 7, an embodiment of the present application provides a network device 700, which includes a processor 701 and a memory 702, where the processor 701 is coupled to the memory 702;
a memory 702 for storing programs;
the processor 701 is configured to execute the program in the memory 702, so that the processor 701 executes the steps performed by the network device in any one of the foregoing embodiments in fig. 3 to fig. 4, thereby implementing the corresponding resource estimation method.
Referring to fig. 8, the present application provides a chip 800, where the chip 800 includes at least one processor 801 and a communication interface 802, the communication interface 802 and the at least one processor 801 are interconnected by a line, and the at least one processor 801 is configured to run a computer program or instructions to perform the resource estimation method corresponding to any one of the foregoing embodiments in fig. 3 to fig. 4.
The communication interface 802 in the chip may be an input/output interface, a pin, a circuit, or the like.
In one possible implementation, the chip 800 described above in this application further includes at least one memory 803, where the at least one memory 803 stores instructions. The memory 803 may be a storage unit inside the chip, such as a register, a cache memory, etc., or may be a storage unit of the chip (e.g., a read-only memory, a random access memory, etc.).
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Claims (17)
1. A method for resource estimation is characterized by comprising the following steps:
acquiring communication system parameters and service requirements of a target service;
determining the access network requirement according to the service requirement;
and determining first resource configuration information according to the communication system parameters and the access network requirements, wherein the first resource configuration information is information of first access network resources allocated to the target service.
2. The method of claim 1, wherein the traffic demand comprises:
at least one of a rate requirement, a latency reliability requirement, and a user concurrency requirement.
3. The method according to claim 1 or 2, wherein the communication system parameters comprise:
at least one of operator, frequency band, bandwidth, time slot ratio, system and user position information.
4. The method of any of claims 1 to 3, wherein the determining access network requirements according to the traffic requirements comprises:
determining the access network requirement according to a service decomposition algorithm and the service requirement;
the determining first resource configuration information according to the communication system parameter and the access network requirement includes:
and obtaining the first resource allocation information according to the access network requirement, the communication system parameters and a resource pre-estimation algorithm.
5. The method of claim 4, wherein obtaining the first resource allocation information according to the access network requirements, the communication system parameters, and a resource pre-estimation algorithm comprises:
determining a scheduling period corresponding to the communication system parameters according to the communication system parameters;
determining the packet loss rate BLER required by the access network according to the requirement of the access network;
determining the inherent resources occupied by the access network according to the system signaling configuration and/or the system symbol configuration;
determining the frequency spectrum efficiency and the number of space division layers according to the SINR and the BLER;
and obtaining the first resource configuration information according to the scheduling period, the packet loss ratio BLER, the inherent resource, the spectrum efficiency, the number of space division layers and the resource pre-estimation algorithm.
6. The method of claim 5, wherein the determining the spectral efficiency and the number of space division layers according to the SINR and the packet loss ratio BLER comprises:
determining the order of a modulation coding scheme and the number of space division layers according to the SINR and the BLER;
and determining the spectrum efficiency according to the modulation coding scheme order.
7. The method of claim 6, wherein determining the order of the modulation and coding scheme according to the SINR and the packet loss ratio BLER comprises:
inquiring a modulation coding scheme MCS order-packet loss rate BLER level table according to the SINR, and determining the order of the modulation coding scheme;
the MCS order-BLER level table comprises a BLER level table item corresponding to a target level; the target level includes 10 -2 Grade, 10 -3 Grade, 10 -4 Grade, and 10 -n At least one of grades, wherein n is greater than or equal to 6.
8. The method according to any one of claims 1 to 7,
the service requirements comprise requirements of target services in a target area;
the first resource configuration information includes: a number of base stations assigned to the target service within the target area.
9. The method according to any one of claims 1 to 7,
the service requirements comprise requirements of target services in a target cell;
the first resource configuration information includes: the proportion of air interface resources allocated to the target service in the target cell.
10. The method according to any of claims 1 to 9, wherein after said determining first resource configuration information, the method further comprises:
determining the current air interface quality and/or RB number, wherein the RB number represents the number of scheduling resources used by a single network device for providing service for the target service;
and determining second resource configuration information according to the communication system parameters, the access network requirements, the air interface quality and/or the RB number, wherein the second resource configuration information is information of second access network resources allocated to the target service.
11. The method according to any of claims 1 to 10, wherein after said determining first resource configuration information, the method further comprises:
and sending the first resource configuration information to network equipment, wherein the first resource configuration information is used for the network equipment to provide the first access network resource for the target service.
12. The method according to any of claims 1 to 10, wherein after said determining first resource configuration information, the method further comprises:
and providing the first access network resource for the target service according to the first resource configuration information.
13. A network management device comprising a processor and a memory, the processor being coupled to the memory;
the memory is used for storing programs;
the processor, configured to execute a program in the memory, to cause the processor to perform the method of any of claims 1 to 12.
14. A network device comprising a processor and a memory, the processor coupled with the memory;
the memory is used for storing programs;
the processor, configured to execute a program in the memory, to cause the processor to perform the method of any of claims 1 to 12.
15. A chip comprising at least one processor and an interface;
the interface is used for providing program instructions or data for the at least one processor;
the at least one processor is configured to execute the program instructions to implement the method of any of claims 1 to 12.
16. A computer-readable storage medium, characterized in that it stores a computer program which, when executed, implements the method of any one of claims 1 to 12.
17. A computer program product, the computer program product comprising: computer program code which, when executed, implements the method of any one of claims 1 to 12.
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| CN202111015646.3A CN115734229A (en) | 2021-08-31 | 2021-08-31 | Resource pre-estimation method and related equipment |
| PCT/CN2022/104899 WO2023029757A1 (en) | 2021-08-31 | 2022-07-11 | Resource estimation method and related device |
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| US20040203658A1 (en) * | 2002-12-06 | 2004-10-14 | Raja Narayanan | Method and system for improving radio resource allocation and utilization on a per application and per service basis |
| KR101329163B1 (en) * | 2006-09-28 | 2013-11-14 | 퀄컴 인코포레이티드 | PREDICTIVE QoS RESOURCE ALLOCATION FOR RAPID SESSION ESTABLISHMENT |
| CN105491569A (en) * | 2014-09-19 | 2016-04-13 | 电信科学技术研究院 | Spectrum resource distribution, acquisition method and device |
| CN111107651B (en) * | 2019-12-27 | 2022-05-17 | 中国联合网络通信集团有限公司 | Method and device for scheduling wireless resources |
| CN113115376B (en) * | 2021-03-17 | 2022-06-07 | 中国联合网络通信集团有限公司 | Downlink resource block reservation method and device |
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