CN109041092B - Network resource allocation method and network controller - Google Patents

Network resource allocation method and network controller Download PDF

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Publication number
CN109041092B
CN109041092B CN201710438286.5A CN201710438286A CN109041092B CN 109041092 B CN109041092 B CN 109041092B CN 201710438286 A CN201710438286 A CN 201710438286A CN 109041092 B CN109041092 B CN 109041092B
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access point
tenant
network resource
network
occupation amount
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CN109041092A (en
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刘鹏
张军平
唐飞龙
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Huawei Technologies Co Ltd
Shanghai Jiaotong University
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Huawei Technologies Co Ltd
Shanghai Jiaotong University
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Priority to PCT/CN2018/089648 priority patent/WO2018228227A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10Dynamic resource partitioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/52Allocation or scheduling criteria for wireless resources based on load
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/54Allocation or scheduling criteria for wireless resources based on quality criteria
    • H04W72/542Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality

Abstract

A network resource allocation method and a network controller are provided, the network resource allocation method comprises the following steps: when the user experience value of a first tenant on a first access point meets a preset condition, the network resource occupation amount of the first tenant occupying the first access point is increased or user equipment of the first tenant accessing the first access point is switched to the first tenant on a second access point. By adopting the embodiment of the invention, the utilization rate of network resources can be improved.

Description

Network resource allocation method and network controller
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a network resource allocation method and a network controller.
Background
At present, in a Wireless Local Area Network (WLAN) networking, a wireless Access Point (AP) may be used as a bridge between a wired network and an ethernet network to establish a shared wireless network, and the wireless network is accessed to the ethernet network. The network resources can be allocated to multiple tenants through each AP, and the user equipment can select to establish network connection with one of the tenants by identifying Service Set Identifiers (SSIDs) of different tenants to share the network resources. When a plurality of tenants share network resources, the network resource occupation amount of each AP occupied by each tenant can be distributed through the network controller.
However, in the prior art, when the occupancy of network resources is allocated, the occupancy of the network resources of each AP by each tenant is fixed, and when the user equipment accesses the network through the tenant, the occupied network resources are also limited by the occupancy of the network resources of the corresponding tenant on the AP.
Disclosure of Invention
Embodiments of the present invention provide a network resource allocation method and a network controller, which adjust the network resource occupation amount according to user experience of tenants, and improve the network resource utilization rate.
In a first aspect, an embodiment of the present invention provides a network resource allocation method, including: when the user experience value of the first tenant on the first access point meets the preset condition, the network resource occupation amount of the first tenant occupying the first access point is increased or the user equipment of the first tenant accessed to the first access point is switched to the first tenant on the second access point.
In one embodiment, when the user experience value of the first tenant on the first access point does not meet the preset condition, the occupancy amount of the network resources of the first tenant on the first access point can be kept unchanged.
In one embodiment, the user experience value of the first tenant on the first access point meets a preset condition, which includes: the reduction amount of the user experience value of the first tenant on the first access point is greater than or equal to a first threshold value; the user experience value is determined by the average transmission delay value of the service transmitted by the user equipment on the first tenant on the first access point, whether the preset condition is met or not can be judged through whether the reduction amount of the user experience value of the tenant on the access point is larger than a first threshold value, and when the preset condition is met, the occupied amount of the network resources occupied by the tenant on the first access point or the number of users accessed by the tenant is adjusted, so that the utilization rate of the network resources can be improved.
In one embodiment, when the decrease amount of the user experience value of the first tenant on the first access point is smaller than the first threshold, indicating that the user experience value of the first tenant on the first access point does not satisfy the preset condition, the occupancy amount of the network resources occupied by the first tenant on the first access point may be kept unchanged.
In one embodiment, the user experience value is an average of user experience values of N user equipments on a first tenant accessing a first access point, where N is a positive integer; wherein, the user experience value Xi of the user equipment i in the N user equipments is:
Figure BDA0001319107120000021
wherein i is a positive integer of 1 or more and N or less, A, B and C are both constants, and
Figure BDA0001319107120000022
avg is the average transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point, and S is the standard deviation of the transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point. By executing the steps, the user experience value of each tenant on each access point is obtained by calculating the user experience values of all the user equipment on the tenant, and whether the reallocation of the network resources is carried out or not can be determined by monitoring whether the user experience value of each tenant meets the preset condition, so that the utilization rate of the network resources can be improved.
In one embodiment, when detecting that a user experience value of a first tenant on a first access point meets a preset condition, judging whether the proportion of network resources allocated on the first access point by the first tenant in the last network resource reallocation is reduced, and switching a user device accessing the first tenant on the first access point to a first tenant on a second access point if the proportion of network resources allocated on the first access point by the first tenant in the last network resource reallocation is reduced; and if the proportion of the network resources distributed by the first tenant on the first access point is not reduced in the last time of redistributing the network resources, the occupation amount of the network resources occupied by the first tenant on the first access point is increased.
By executing the steps, the reallocation of the network resources or the switching of the users on the tenants is selected according to the reallocation condition of the network resources of the first tenant when the reallocation of the network resources is carried out last time, the network resources occupied by the tenants on the access point can be adjusted according to the user experience value, the condition that the allocation of the network resources among the tenants on the AP is unbalanced is avoided, meanwhile, the cyclic and invalid reallocation process of the network resources can be avoided, and therefore the utilization rate of the network resources can be improved.
In one embodiment, the user experience value of the first tenant on the first access point meets a preset condition, which includes: the user experience value of the first tenant on the first access point is smaller than or equal to the second threshold, whether the preset condition is met can be judged through whether the user experience value of the tenant on the access point is larger than the second threshold, and when the preset condition is met, the occupied network resource of the tenant is adjusted or the number of users accessed to the tenant is adjusted, so that the utilization rate of network resources can be improved.
In one embodiment, before the step of increasing the network resources of the first access point occupied by the first tenant or switching the user equipment occupying the network resources of the first access point to the first tenant on the second access point, the method further includes: reading a network use state table corresponding to a first tenant on a first access point, wherein the network use state table comprises at least one of time period information corresponding to the network use state table, a network resource type of the first access point occupied by the first tenant, a network resource parameter value of the first access point occupied by the first tenant and a preset user experience requirement value, and a second threshold is the preset user experience requirement value; constructing a prediction model according to a network use state table; performing effectiveness test on the prediction model, wherein the effectiveness test comprises at least one of stationarity test, causal relationship test and pulse reaction test; when the prediction model passes the validity check, reading the updated network use state table; and calculating a user experience value according to the updated network use state table and the prediction model.
In one embodiment, when the prediction model fails the validity check, which indicates that the prediction model cannot effectively predict the user experience value, the network usage state table corresponding to the first tenant on the first access point is read again, and the prediction model is built.
In an embodiment, when the user experience value calculated in the above manner does not satisfy the preset condition, the network resource occupation amount of the first tenant occupying the first access point may be kept unchanged, the network usage state table is still updated, and the user experience value is calculated according to the updated network usage state table and the prediction model.
By executing the steps, the user experience value can be predicted according to the established prediction model, whether the current user experience required value is met or not is detected according to the user experience value and the current user experience required value, and if the current user experience required value is not met, the network resources occupied by the tenants on the access point can be adjusted or the tenants can be switched according to the user experience value, so that the condition of unbalanced network resource distribution among the tenants on the AP is avoided, and the utilization rate of the network resources can be improved.
In one embodiment, after calculating the user experience value, the method further comprises: and re-reading the network use state table and updating the prediction model. The table can be used through the network state which is read again, the autoregressive model which is adjusted to the time series can generate prediction errors due to accidental errors at the initial construction stage, and the prediction model is optimized by using a preset algorithm, so that the prediction errors are reduced.
In one embodiment, the predictive model includes at least one of a vector autoregressive model, a linear autoregressive model, and a multivariate autoregressive model.
In one embodiment, increasing the network resource occupancy of the first tenant at the first access point comprises: increasing the occupation amount of the network resources of the first access point occupied by the first tenant, and reducing the occupation amount of the network resources of the first access point occupied by other tenants except the first tenant on the first access point, wherein the increased numerical value of the occupation amount of the network resources of the first access point occupied by the first tenant is equal to the reduced numerical value of the occupation amount of the network resources of the first access point occupied by other tenants; or increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of the first tenant occupying other access points except the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the first tenant occupying other access points except the first access point; or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other access points except the first access point, and adjusting the network resource occupation amount of the first tenant occupying other access points except the first tenant, wherein the increased value of the network resource occupation amount of the first access point occupied by the first tenant is equal to the adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other access points and the adjustment value of the network resource occupation amount of the other tenants occupying the access points.
In one embodiment, the second access point is an access point with the highest strength of receiving the signal of the user equipment from the other access points except the first access point and/or an access point with the highest user experience value of the first tenant from the other access points except the first access point, and the second access point is an access point providing network resources for the first tenant. The access point with the highest signal strength of the user equipment to be switched can be selected, and/or the access point with the highest user experience value of the first tenant on the first access point can be selected as the target access point for switching the user equipment of the first tenant on the first access point, so that the utilization rate of network resources can be improved.
In one embodiment, when there is no access point with the highest received signal strength of the user equipment and/or no access point with the highest user experience value of the first tenant among other access points except the first access point, the user equipment may not be handed over, and a second access point to which the next user equipment may be handed over is detected.
In one embodiment, after switching a user equipment accessing a first tenant on a first access point to the first tenant on a second access point, the method further comprises: and when the number of the user equipment switched to the second access point is larger than or equal to a third threshold value, rejecting to switch other tenants to the second access point. The number of the user equipment switched on each access point cannot be more than the third threshold, so that the resource amount occupied by the tenant on each access point is ensured, and the utilization rate of network resources can be improved.
In a second aspect, an embodiment of the present invention provides a network controller, where the network controller is configured to perform resource allocation, and the network controller includes a module or a unit configured to perform the network resource allocation method provided in the first aspect or any one of the possible implementations of the first aspect.
In a third aspect, an embodiment of the present invention provides a network controller, including: a processor, a memory, a communication module and a bus; the processor, the communication module and the memory are communicated with each other through a bus; a communication module for receiving and transmitting data; a memory to store instructions; a processor configured to invoke instructions in a memory to perform the network resource allocation method of the first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which includes instructions that, when executed on a network controller, cause the network controller to perform the network resource allocation method provided in the first aspect or any possible implementation manner of the first aspect.
In a fifth aspect, an embodiment of the present invention provides a computer program, where the computer program includes instructions that, when run on a network controller, cause the network controller to execute the network resource allocation method provided in the first aspect or any possible implementation manner of the first aspect.
By implementing the embodiment of the invention, when the reduction amount of the user experience value of the first tenant on the first access point is greater than or equal to the first threshold value, or the user experience value of the first tenant on the first access point is less than or equal to the second threshold value, the network resource occupied by the tenant on the AP can be adjusted according to the user experience value by improving the network resource occupied by the first tenant on the first access point or switching the user equipment of the first tenant accessed to the first tenant on the first access point to the first tenant on the second access point, so that the condition of unbalanced network resource distribution among the tenants on the AP is avoided, and the utilization rate of the network resource can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present invention, the drawings required to be used in the embodiments or the background art of the present invention will be described below.
FIG. 1 is a system architecture diagram according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a network resource allocation method according to an embodiment of the present invention;
FIG. 3 is a graph of the variation of the function f1 with respect to the average value Avg provided by an embodiment of the present invention;
fig. 4 is a flowchart illustrating another network resource allocation method according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a further network resource allocation method according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a network controller according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of another network controller according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described below with reference to the drawings.
The embodiment of the invention discloses a network resource allocation method and a network controller, which are used for improving the utilization rate of network resources. The following are detailed below.
In order to better understand the network resource allocation method and the network controller disclosed in the embodiments of the present invention, a system architecture used in the embodiments of the present invention is described below. Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention. As shown in fig. 1, the system is a networking architecture of a WLAN, and may include a network controller 101, a wireless access point, referred to as an access point 102, a network 103, a tenant 104, and a user equipment 105. The network 103 provides network resources to the tenants 104 through the access points 102, where the network resources refer to air interface resources, and may include air interface usage time, bandwidth, and the like, the network controller 101 controls the multiple access points 102 to access the network 103, each access point 102 may access multiple tenants 104, the same tenant 104 may access multiple access points 102 at the same time, and multiple user equipments 105 may select a tenant 102 accessed to a certain access point 102 to associate with the network of the tenant. The ue 105 may distinguish the network of the tenant 104 by the SSID, network resources are controlled by the network controller 101 in a unified manner, and the network controller 101 may send a message to the ap 102 through a Control Protocol or a Transmission Control Protocol (TCP) between the network controller 101 and the ap 102, so as to Control the ap 102.
The network controller 101 performs centralized management functions on the access points 102 in the WLAN network, including radio channel management, device management and maintenance, and user equipment access management. The network controller 101 may be a local controller or a cloud (remote) controller. The local controller is suitable for central control of private networks such as enterprise networks, and the cloud-end controller is suitable for public networks such as home networks and wireless networks used in shopping malls. The network controller 101 communicates with the access point 102 through a wired network, and if the network controller 101 is deployed locally, the network controller 101 and the access point 102 can communicate through a local area network; if network controller 101 is deployed in the cloud, then network controller 101 and access point 102 may communicate over a metropolitan area network or an Internet network. Network controller 101 may obtain the status of access points 102 including, and not limited to, the network resources occupied by various tenants 104 on various access points 102. The access point 102 is a small wireless base station device of the WLAN service network, and is a bridge connecting a wired network and a wireless network, and completes wireless access of the WLAN standard. The tenant 104 refers to a network operator that provides basic communication and internet connection for the user equipment 105. The user equipment 105 may be a wireless local area network terminal device, including a computer with a wireless network card, a handheld computer, a mobile phone, a tablet computer, and the like, which support a wireless-fidelity (WiFi) function.
The access point 102 allocates different network resource occupancy amounts to different tenants 104, that is, multiple tenants 104 may share the network resource in the same access point 102. In the prior art, when the occupancy of network resources is distributed, the occupancy of network resources of each tenant occupying each AP is fixed, and the situation of unbalanced network resource distribution among tenants on an AP occurs, thereby reducing the utilization rate of network resources. In the embodiment of the present invention, the network resource occupation amounts occupied by different tenants 104 can be dynamically adjusted or allocated, so as to improve the network resource utilization rate of the access point 102.
Based on the system architecture of fig. 1, please refer to fig. 2, fig. 2 is a flowchart illustrating a method for allocating network resources according to an embodiment of the present invention, wherein the method is described from the perspective of a network controller, as shown in fig. 2, the method includes, but is not limited to, the following steps:
s201: and monitoring the user experience value of the tenant on each AP.
Specifically, the network controller monitors the status of each tenant on each AP in real time. The state of the tenant may include the number and traffic of active user equipments on each tenant, and also includes user experience values of each tenant on each AP. The active user equipment may be user equipment with network traffic greater than a threshold value for a certain time. The network controller may also monitor the state of each AP, such as the total number of user equipments accessed to each AP, the ratio of network resources occupied by each tenant in the AP, and the like.
S202: when detecting that the user experience value of the first tenant on the first access point meets the preset condition, the network resource occupation amount of the first tenant occupying the first access point is increased or the user equipment of the first tenant accessing the first access point is switched to the first tenant on the second access point.
Specifically, when it is detected that the user experience value of the first tenant on the first access point meets the preset condition, it indicates that the network resources occupied by the first tenant on the first access point are insufficient or the number of user devices of the first tenant on the first access point is increased, so that the user experience value of the first tenant on the first access point is not ideal. The network controller can increase the network resource occupied by the first tenant on the first access point by increasing the network resource occupied by the first tenant on the first access point. Or a user device accessing a first tenant on a first access point may be handed over to the first tenant on a second access point. After the switching, the second access point of the user equipment of the first tenant on the first access point accesses the network, and occupies the network resources on the second access point. By reducing the number of user devices of the first tenant on the first access point, the amount of network resources occupied by each user device of the first tenant on the first access point can be increased, thereby improving user experience.
In one embodiment, the user experience value of the first tenant on the first access point satisfying the preset condition can be interpreted as: the reduction amount of the user experience value of the first tenant on the first access point is greater than or equal to a first threshold. Here, the user experience value is determined by a transmission delay average of traffic transmitted by the user equipment on the first tenant on the first access point.
Specifically, the network controller determines whether the user experience value of each tenant on each AP is significantly decreased in a period of time according to the user experience value of each tenant on each AP acquired in real time. Here, the period of time may be several minutes, several hours, or the like. The significant decrease may be a decrease in the user experience value of greater than or equal to 30% of the theoretical maximum user experience value. The theoretical maximum user experience value may be pre-stored in the network controller.
In addition, the network controller may monitor that multiple tenants on one AP simultaneously satisfy the preset condition, or may monitor that tenants on multiple APs simultaneously satisfy the preset condition. One tenant with the largest user experience value reduction amount can be selected as a first tenant, and the network resource occupation amount of the first tenant occupying a first access point is increased or user equipment of the first tenant accessed to the first access point is switched to the first tenant accessed to a second access point; or simultaneously taking a plurality of tenants meeting the preset condition as first tenants, and executing to improve the network resource occupation amount of the first tenants occupying the first access point or switch the user equipment accessing the first tenants on the first access point to the first tenants on the second access point.
In one embodiment, the user experience value is an average of user experience values of N user equipments on a first tenant accessing a first access point, where N is a positive integer; wherein, the user experience value Xi of the user equipment i in the N user equipments is:
Figure BDA0001319107120000061
wherein i is a positive integer of 1 or more and N or less, A, B and C are both constants, and
Figure BDA0001319107120000062
avg is the average transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point, and S is the standard deviation of the transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point.
Specifically, the transmission delay of the traffic transmitted by the user equipment i on the first tenant on the first access point may be the response time of the logging ping command, and Avg may be an average of the response times of 5 or more ping commands; the transmission delay of the service may also be measured by a network delay measurement tool based on a network Protocol, for example, a network delay measurement tool iperf of a TCP/User Datagram Protocol (UDP).
It should be noted that the measurement of the transmission delay of the service transmitted by the first tenant is not limited to the two methods, and may be measured by other methods, which is not limited in this embodiment.
Where a is to make the function f1 equal to 1.0 when Avg is 0ms, please refer to fig. 3, fig. 3 is a diagram of an embodiment of the present inventionThe provided graph of the variation of the user experience value function f1 and the average value Avg is shown in fig. 3, and the influence of the constants A, B and C on f1 is as follows: the larger C, the larger f1 the region that falls rapidly with increasing Avg, and B determines the location of the region that falls rapidly with increasing value of Avg, the larger B, the further away the region that falls rapidly from Avg by 0 ms. In general, the constants may range from 10<B<100,1<B/C<10. Empirically, the transmission delay of the traffic is usually detected by using a ping command, which has a large delay around 100ms, and the size of B determines the center position of the region where the function decreases greatly, so that the value is set to be less than 100, and B/C is set to be between 1 and 10 in order to make the function have a smooth region and the range of the region where the function decreases greatly (around 20ms or more), for example, a ═ e may be used(-50/20),B=50,C=20。
In one embodiment, the user experience value of the first tenant on the first access point meets the preset condition, which may be understood as that the user experience value of the first tenant on the first access point is less than or equal to the second threshold.
Specifically, it may be determined whether the user experience value of each tenant on each AP is too low in a period of time, and when the user experience value is lower than a preset second threshold, it indicates that the user experience value of the AP on the tenant is too low.
In one embodiment, increasing the network resource occupancy of the first tenant at the first access point may be interpreted as:
the method comprises the steps of increasing the network resource occupation amount of a first tenant occupying a first access point, and reducing the network resource occupation amount of other tenants except the first tenant occupying the first access point on the first access point, wherein the increased numerical value of the network resource occupation amount of the first access point occupied by the first tenant is equal to the reduced numerical value of the network resource occupation amount of the first access point occupied by other tenants.
Specifically, when it is detected that the user experience value of the first tenant at the first access point meets the preset condition, it indicates that the network resources occupied by the first tenant at the first access point are insufficient. Only the network resource reallocation on the first access point may be considered, and under the condition that the network resource occupied on the first access point is not changed, the amount of the network resource occupied by the first tenant on the first access point may be increased, and the amount of the network resource occupied by the other tenants on the first access point may be decreased. For example, before the reallocation of the network resources, the first tenant occupies 30% of the total network resources of the first access point, and the other tenants on the first access point occupy 70% of the total network resources of the first access point, after the reallocation of the network resources, the first tenant occupies 40% of the total network resources of the first access point, and the other tenants on the first access point occupy 60% of the total network resources of the first access point. The increase amount of the first tenant occupying the network resources of the first access point may be a preset threshold, and is not limited to be adjusted by 10%. In the process of reallocating the network resources, only the amount of the network resources occupied by each tenant on the first access point is changed, and each tenant on other access points controlled by the network controller may not participate in the reallocation of the network resources.
It should be noted that the method for reallocating network resources is not limited to the above embodiment, and other allocation methods may also be used, for example, all tenants or part of tenants on a plurality of access points including the first access point may participate in the reallocation of network resources, all APs may participate in the reallocation of network resources, and the like.
In one embodiment, the increase of the network resource occupation of the first tenant on the first access point may also be interpreted as: the method comprises the steps of increasing the network resource occupation amount of a first tenant occupying a first access point, and reducing the network resource occupation amount of the first tenant occupying other APs except the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the first tenant occupying other APs except the first access point.
Specifically, only the network resources occupied by the first tenant may be reallocated, and under the condition that the network resources of all the APs controlled by the network controller are occupied by the first tenant are not changed, the amount of the resources occupied by the first tenant on the first access point on the network resources of all the APs may be increased, and the amount of the network resources occupied by the first tenant on the other APs except the first access point may be decreased. For example, before the reallocation of the network resources, the first tenant on the first access point occupies 20% of the network resources of the sum of the network resources occupied by the first tenant, and the first tenant on the other AP occupies 80% of the network resources of the sum of the network resources occupied by the first tenant, then after the reallocation of the network resources, the first tenant on the first access point may be adjusted to occupy 25% of the network resources of the sum of the network resources occupied by the first tenant, and the first tenant on the other AP occupies 75% of the network resources of the sum of the network resources occupied by the first tenant. The increase amount of the sum of the network resources occupied by the first tenant may be a preset threshold, and is not limited to be adjusted by 5%. In the network resource reallocation process, only the network resource amount of the first tenant occupying the sum of the network resources occupied by the first tenant on each AP is changed, and other tenants may not participate in the network resource reallocation.
It should be noted that the method for reallocating network resources is not limited to the foregoing embodiment, and other allocation methods are also possible, for example, a plurality of tenants including the first tenant may participate in the foregoing reallocation of network resources, or all tenants may participate in the foregoing reallocation of network resources, and so on.
In one embodiment, increasing the network resource occupation of the first tenant on the first access point may be further interpreted as: the method comprises the steps of increasing the network resource occupation amount of a first access point occupied by a first tenant, adjusting the network resource occupation amount of other APs occupied by the first tenant except the first access point, and adjusting the network resource occupation amount of each AP occupied by other tenants except the first tenant, wherein the increased network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of other APs and the adjustment value of the network resource occupation amount of each AP occupied by other tenants.
Specifically, the network resource reallocation can be realized by using linear programming, assuming that m tenants and n APs are shared under a network controller, each tenant is named tenti, 1< ═ i < ═ m, the sequence is meaningless, each AP is named APj, 1< ═ j < ═ n, the sequence is meaningless, and m, n, i and j are positive integers. The total network resource of the APj is Aj, the network resource may be air interface time × total bandwidth, the proportion of tenant i occupying network resources on the APj is a (i, j), that is, the proportion of occupied air interface time × bandwidth, and 0 ═ a (i, j) < ═ 1. Let a (i,1) × a1+ a (i,2) × a2+ … + a (i, n) × An ═ Ci, Ci is the total amount of network resources occupied by tenant i (the proportion of occupied air interface time × bandwidth). When the user experience of tenant k (1< ═ k < ═ m) on APt (1< ═ t < ═ n) is degraded, it is assumed that a (k, t) needs to be adjusted to be equal to or greater than a (k, t) + 10%. The following set of equations may be listed:
Figure BDA0001319107120000081
when Aj and Ci are known, a (i, j) before can be redistributed according to network resources0Solving the equation system to obtain a solution a (i, j), and performing network resource reallocation according to the obtained a (i, j) correspondence. If the equation has multiple solutions, the objective function is defined as
Figure BDA0001319107120000082
A solution a (i, j) that minimizes the objective function value may be selected, and when the sum of the number of user equipments on each tenant on all APs is smaller than a preset threshold, the proportion of network resources occupied by each tenant on each AP may be reallocated according to a (i, j).
It should be noted that the method for reallocating network resources is not limited to the above embodiments, and the examples are only used for explaining the embodiments of the present invention, and should not be construed as limiting.
In one embodiment, the second access point is an AP with the highest strength for receiving the signal of the user equipment from the other APs except the first access point and/or an AP with the highest user experience value of the first tenant from the other APs except the first access point, and the second access point is an AP for providing network resources for the first tenant.
Specifically, if there are p pieces of user equipment accessing the first tenant on the first access point, it may be first detected whether there are AP suitable for migration of the p pieces of user equipment, that is, a set of AP each of the p pieces of user equipment is migratable, the set does not include the first access point, an rssi value received by the AP in the set by receiving the user equipment is not less than an rssi value received by the first access point, and an AP with a largest user experience value of the first tenant may be selected in the set as a second access point to which the user equipment migrates. In addition, the number of the user equipments already accessed to the APs in the set may also be referred to, and the AP with the smallest number of the user equipments already accessed to the set is selected as the second access point to be migrated, and if a certain user equipment does not have a set of migratable APs, the migration of the user may be skipped. The examples are intended to illustrate embodiments of the invention and should not be construed as limiting.
In one embodiment, after switching a user equipment accessing a first tenant on a first access point to the first tenant on a second access point, the method further comprises: and when the number of the user equipment switched to the second access point is larger than or equal to a third threshold value, rejecting to switch other tenants to the second access point.
Specifically, in order to avoid excessive user equipment migrating to a certain AP, in a user equipment migration process, the AP migrated with the third threshold number may be marked as an unfetachable AP, the third threshold number may be one or more, and the AP migrated with the third threshold number may need to know whether enough resources are available to accept other migrated users after a period of time, so that after each AP in the whole process accepts the third threshold number of users, it may be detected whether the user experience of the first tenant on the first access point rises to no longer meet the preset condition, and if not, adjustment is performed again. And after the user equipment of the first tenant on the first node is migrated, clearing the mark of the non-migratable AP. After a period of time (x minutes or x hours), detecting whether the experience of the first tenant on the first access point rises to a better level, wherein the better level can be 70% or more of the theoretical maximum score of the user experience. The examples are intended to illustrate embodiments of the invention and should not be construed as limiting.
In the network resource allocation method described in fig. 2, when the decrease amount of the user experience value of the first tenant on the first access point is greater than or equal to the first threshold, or the user experience value of the first tenant on the first access point is less than or equal to the second threshold, by increasing the network resource occupation amount of the first tenant occupying the first access point or switching the user equipment of the first tenant accessing the first access point to the first tenant on the second access point, the network resource occupied by the tenant on the AP can be adjusted according to the user experience value, thereby avoiding the situation of unbalanced network resource allocation among tenants on the AP, and thus improving the utilization rate of network resources.
Based on the system architecture of fig. 1, please refer to fig. 4, fig. 4 is a flowchart illustrating another network resource allocation method according to an embodiment of the present invention, wherein the method is described from the perspective of a network controller, as shown in fig. 4, the method includes, but is not limited to, the following steps:
s401: and monitoring the user experience value of the tenant on each AP.
Specifically, the specific implementation of the network controller monitoring the user experience values of the APs may refer to S301 of the embodiment described in fig. 3, which is not described herein again.
S402: when detecting that the user experience value of the first tenant on the first access point meets the preset condition, judging whether the proportion of the network resources allocated on the first access point by the first tenant in the last time of reallocating the network resources is reduced, if the proportion of the network resources allocated on the first access point by the first tenant in the last time of reallocating the network resources is reduced, executing the step S403; if the first tenant does not decrease the ratio of the network resources allocated on the first access point in the last re-allocation of the network resources, step S404 is executed.
Specifically, if the proportion of the network resources allocated by the first tenant on the first access point in the last time of network resource reallocation is decreased, it indicates that the decrease in the user experience value of the first tenant on the first access point at this time may be caused by the network resources allocated by the first tenant on the first access point at the last time of network resource reallocation, and if the network resources allocated by the first tenant on the first access point at this time is increased again, the state before the network resources are reallocated at the last time may be returned again, and the decrease in the user experience value of the tenant corresponding to the last time may be caused again.
For example, the reason for adjusting the network resource allocation last time is that the user experience value of the tenant k on the APt decreases, if the user experience value of the detected first tenant still decreases for the tenant q on the APt, and the network resource occupied by the tenant q on the APt decreases in the last time of network resource reallocation, it indicates that the decrease in the user experience value of the tenant q this time may be due to the fact that the network resource occupied by the tenant q decreases in the APt last time of network resource reallocation, and if the network resource occupied by the tenant q on the APt this time increases, the network resource occupied by each tenant on the APt may still return to the situation before the last time of network resource reallocation, resulting in the user experience value of the tenant k on the APt decreasing again.
To avoid entering the above-mentioned loop and invalid network resource reallocation process, step S304 may be executed when it is detected that the first tenant allocates network resources on the first access point in the last network resource reallocation process is decreased.
It should be noted that the number of times of the network resource reallocation between the two tenants on the first node is not limited to two, and the step S303 may be executed when the number of times of the network resource reallocation between the two tenants on the first node is detected to be three times or more. For example, for the first time, as the user experience value of the tenant k on the APt decreases, the network resources occupied by the tenant q on the APt are reduced after the network resources are reallocated; secondly, as the user experience value of the tenant q on the APt is reduced, the network resources occupied by the tenant k on the APt after the network resources are redistributed are reduced; the third time, when the network resource re-allocation is detected twice, step S303 is executed.
S403: and switching user equipment accessing the first tenant on the first access point to the first tenant on the second access point.
Specifically, if the proportion of the network resources allocated by the first tenant on the first access point in the last time of reallocating the network resources is decreased, the user equipment accessing the first tenant on the first access point is switched to the first tenant on the second access point, and the specific implementation may refer to S302 of the embodiment described in fig. 3, which is not described again here.
S404: and increasing the network resource occupation of the first tenant occupying the first access point.
Specifically, if the proportion of the network resources allocated by the first tenant on the first access point in the last time of reallocating the network resources is not decreased, the occupancy amount of the network resources occupied by the first tenant on the first access point is increased, and the specific implementation may refer to S302 of the embodiment described in fig. 3, which is not described herein again.
In the network resource allocation method described in fig. 4, the reallocation of network resources or the switching of users on tenants is selected according to the reallocation of network resources of the first tenant when the reallocation of network resources is performed last time, and the network resources occupied by tenants on the access point can be adjusted according to the user experience value, so that the situation that the allocation of network resources among tenants on the AP is unbalanced is avoided, and meanwhile, a cyclic and invalid network resource reallocation process can be avoided, thereby improving the utilization rate of network resources.
Referring to fig. 5 based on the system architecture of fig. 1, fig. 5 is a flowchart illustrating a further network resource allocation method according to an embodiment of the present invention, where the method is described from the perspective of a network controller, as shown in fig. 5, the method includes, but is not limited to, the following steps:
s501: and reading a network use state table corresponding to a first tenant on the first access point.
Specifically, the network usage state table includes at least one of time period information corresponding to the network usage state table, a type of network resource occupied by the first tenant at the first access point, a parameter value of network resource occupied by the first tenant at the first access point, and a preset user experience requirement value, and the second threshold is the preset user experience requirement value. The acquired network resource parameter value is the value of the network resource type in the time period information; the network resource type can be parameters such as bandwidth, air interface time, channels and the like, and different tenants can have different network resource types; the user experience demand value may be provided by a user or a network administrator. The network usage status table may further include an identity of the tenant, such as a tenant identity number (ID).
S502: and constructing a prediction model according to the network use state table.
Specifically, the relationship between the user experience value and the network resource type may be established through a prediction model, and the prediction model includes at least one of a vector autoregressive model, a linear autoregressive model, and a multivariate autoregressive model.
S503: detecting whether the prediction model passes validity check, and executing step S504 when the prediction model passes the validity check; when the above prediction model fails the validity check, step S501 is executed.
Specifically, the validity check includes at least one of a stationarity check, a causal relationship check and an impulse response check, when the prediction model passes the validity check, it indicates that the prediction model can effectively predict the user experience value, and step S504 is executed; when the prediction model fails the validity check, it indicates that the prediction model cannot effectively predict the user experience value, and the prediction model needs to be reconstructed again according to the network usage state table, and step S501 is executed.
S504: and reading the updated network use state table when the prediction model passes the validity check.
Specifically, the network controller may read the latest network usage status table, including at least one of updated currently read time period information, a type of network resource the first tenant occupies the first access point, a value of a network resource parameter the first tenant occupies the first access point, and a preset user experience requirement value. Wherein, the updated network usage state table may contain the network resource type consistent with the network usage state table before updating.
Because the requirement of the overall user experience value of each tenant has the characteristic of periodicity, after the prediction model is built, the network condition usage table can be used as input to obtain the overall user experience value of a certain tennt at present, and if the value has a difference with the user experience value requirement in the good storage (time period, user experience value requirement and network resource configuration condition) in the prediction model building process, the configuration of the network resource at present is adjusted towards the stored network resource configuration condition.
S505: and calculating a user experience value according to the updated network use state table and the prediction model.
Specifically, the network resource type in the network usage state table may be substituted into the prediction model to obtain the user experience value through calculation, and meanwhile, the network resource configuration condition may be obtained according to the prediction model, and the obtaining process may be similar to the user experience value, which is not described herein again.
S506: when the user experience value of the first tenant on the first access point meets the preset condition, the network resource occupation amount of the first tenant occupying the first access point is increased or the user equipment of the first tenant accessing the first access point is switched to the first tenant on the second access point.
Specifically, for a specific implementation that the network resource occupation amount of the first tenant occupying the first access point is increased or the user equipment accessing the first tenant on the first access point is switched to the first tenant on the second access point, reference may be made to S302 in the embodiment described in fig. 3, which is not described herein again.
Specifically, the network resource configuration policy, i.e. the migration policy, of the user based on the probability method may also be adopted to implement user handover: A. the probability that each user on the first tenant migrates to a certain AP or allocates a certain network resource (denoted as k) is PukIs recorded as a migration probability of
Figure BDA0001319107120000111
Where n is the total number of APs migratable to user equipment u, akIs the average user experience of the user on the APk. For all user equipments, eachThe migration probability of each user equipment forms a complete set of migration strategy views. B. An expected value of the user experience value under each view is calculated. According to the basic properties desired: at least, the migration strategy corresponding to the expected value is existed, and the strategy with the expected value not less than the user experience requirement value is selected for migration. C. And D, verifying whether the user experience value after the migration meets the requirement, and if not, repeating the step B.
S507: and re-reading the network use state table and updating the prediction model.
Specifically, the content of the network usage state table is periodically updated, so that the time series-based autoregressive model can be adjusted to be predicted incorrectly at the initial construction stage due to accidental errors, and the mapping relation is collected in two ways, namely an active way and a passive way: the former refers to the network controller periodically collecting the network resource usage and user experience of the ue on each tenant, and the latter refers to the ue actively feeding back to update the network condition usage table, where the update period may be a lagging unit, for example, the lagging unit is 1 day, and the period for updating the network state usage table may be set to one day.
Specifically, the network resource allocation method described in fig. 5 may be used in a scheme of performing resource allocation when the proportion of network resources occupied by each tenant is uncertain.
For example, assuming that a tenant provides a network usage table of k network resource types in each of p usage periods, the initially determined user experience value in the regression prediction model based on time series may be ytAnd yt-iTo express, the prediction model can be expressed as:
yt=c+A1yt-1+A2yt-2+…+Apyt-p+et
wherein, ytIs a vector which can be k × 1 and represents a set of values of k network parameters in the t time period, wherein the network parameters can include user experience values of tenants and network resource configuration conditions, and the network resource configuration conditions can be the conditions of occupancy of each tenant on each APThe proportion of network resources of the AP; y ist-iValues of k network parameters, A, representing i time periods behindiRepresenting the impact factor on the k variables of the t period lagging by i periods. c is a constant vector of kX 1, etAn error vector of k x 1 is used to model the error values during the fitting process.
Specifically, the determination process of the prediction model may include, but is not limited to, the following steps:
firstly, the network controller reads a network usage status table configured by each tenant: sufficient information is obtained, as many variables as possible can be provided, and parameters such as bandwidth, air interface time, channels and the like can be included for subsequently constructing a vector autoregressive prediction model.
Secondly, preliminarily determining the type of the variable and the hysteresis order of the variable, preliminarily screening information in a network use condition table, and determining the type of the variable in the established prediction model, such as determining the relationship between a user experience value and air interface time; determining the hysteresis order of each variable, and preliminarily determining the variable information collected several times before, which may have an influence on the predicted value of the prediction model, for example, the user experience value may be influenced by the air interface time collected before, two, or three times.
Thirdly, the prediction model is checked for validity, firstly, for stationarity, and when the model meets the stationarity condition, namely the characteristic equation, det (I)k-A1z+Z2z2+…+Apzp) The modes of the root being 0 are all located outside the unit circle, i.e. z>1, or |1/z<1, the model is confirmed to be valid, namely, the model passes the validity check, wherein k represents the number of variables in the model system; secondly, checking the causal relationship: common cause and effect tests are the grand cause and effect test and the impulse response test. The method aims to check whether the constructed model can truly reflect the causal relationship among the variables, if the constructed model passes the causal relationship check, the prediction model can be used for prediction, otherwise, the method returns to the first step to reconstruct the prediction model.
And finally, optimizing the prediction model, wherein the established prediction model can be continuously optimized by using the table according to the collected updated network state. The optimized content of the model may include: (1) the influence factor of the variable and the change of the constant influence factor; (2) a change in an error adjustment coefficient; (3) a change in the hysteresis order of the variable; (4) variation in the kind of variable. A probability method-based (probability method) adjusting scheme can be used, the upper and lower bounds of the accuracy of the random solution are analyzed through a probability method, specific parameter values are determined through the random method under the condition that the accuracy is guaranteed, and the iterative adjusting effect of the prediction model is verified through a fitting and regression method.
For example, assuming that the user experience value of a certain tenant is only related to a single network parameter of the air interface time of the user, the well-established time series prediction model with a hysteresis order of 3 may be represented as:
X=1.4+0.4T1+0.7T2+0.6T3–0.1
T1/T2/T3 respectively represent the average air interface time of a user in the previous day, the previous two days and the previous three days, 0.4, 0.7 and 0.6 respectively represent the influence factors of the average air interface time of three days on the air interface time of the day, 1.4 is a constant influence shadow, and-0.1 is an error adjustment coefficient. X is a user experience value.
And after the third day, substituting the air interface time of the three days before the instant day into the prediction model to obtain the user experience value of the day.
The initially established model is continuously optimized according to the active feedback information of the user equipment or the network information periodically collected by the controller, for example, the form of the prediction model in the last example after being optimized may be as follows:
X=1.1+0.2T1+0.5T2+0.9T3+0.2T4+0.1R1–0.1
r1 is the average transmission rate one day ago, and the variable influence factor, the constant influence factor, the error adjustment coefficient, the variable lag order and the variable category are optimized.
It should be noted that the examples are only for explaining the embodiments of the present invention, and should not be construed as limiting.
In the network resource allocation method described in fig. 5, the user experience value is predicted according to the established prediction model, and whether the current user experience requirement value is satisfied is detected according to the user experience value and the current user experience requirement value, and if not, the network resource occupied by the tenant on the AP can be adjusted or tenant switching can be performed according to the user experience value, so that the situation of unbalanced network resource allocation among tenants on the AP is avoided, and the utilization rate of the network resource can be improved.
The method of the embodiments of the present invention is explained in detail above, and the network controller of the embodiments of the present invention is provided below.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a network controller according to an embodiment of the present invention, as shown in fig. 6, the network controller may include a processing unit 601 and a communication unit 602, where:
the processing unit 601 is configured to increase the network resource occupation amount of a first tenant occupying a first access point when a user experience value of the first tenant on the first access point meets a preset condition;
or, the processing unit 601 is configured to switch, when the user experience value of the first tenant on the first access point meets a preset condition, the user equipment accessing the first tenant on the first access point to the first tenant on the second access point.
A communication unit 602, configured to implement data transmission between the network controller and the access point and the network.
As a possible implementation manner, the user experience value of the first tenant on the first access point meets the preset condition, which includes: the reduction amount of the user experience value of the first tenant on the first access point is greater than or equal to a first threshold value; the user experience value is determined by the average transmission delay of the traffic transmitted by the user equipment on the first tenant at the first access point.
As a possible implementation manner, the user experience value is an average value of user experience values of N user equipments on a first tenant accessed to the first access point, where N is a positive integer; wherein, the user experience value Xi of the user equipment i in the N user equipments is:
Figure BDA0001319107120000131
wherein i is a positive integer of 1 or more and N or less, A, B and C are both constants, and
Figure BDA0001319107120000132
avg is the average transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point, and S is the standard deviation of the transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point.
As a possible implementation manner, the user experience value of the first tenant on the first access point meets the preset condition, which includes: the user experience value of the first tenant on the first access point is less than or equal to a second threshold.
As a possible implementation manner, the processing unit 601 is configured to increase network resources occupied by the first tenant on the first access point or before switching a user equipment occupying the network resources of the first tenant on the first access point to the first tenant on the second access point, the processing unit 601 is further configured to read a network usage state table corresponding to the first tenant on the first access point, where the network usage state table includes at least one of time period information corresponding to the network usage state table, a type of network resources occupied by the first tenant on the first access point, a parameter value of the network resources occupied by the first tenant on the first access point, and a preset user experience requirement value, and the second threshold is the preset user experience requirement value;
the processing unit 601 is further configured to construct a prediction model according to the network usage state table;
the processing unit 601 is further configured to perform validity check on the prediction model, where the validity check includes at least one of a stationarity check, a causal relationship check, and a pulse response check;
the processing unit 601 is further configured to read the updated network usage state table when the prediction model passes the validity check;
the processing unit 601 is further configured to calculate a user experience value according to the updated network usage state table and the prediction model.
As a possible implementation manner, after the processing unit 601 calculates the user experience value, the processing unit 601 is further configured to re-read the network usage state table and update the prediction model.
As a possible embodiment, the prediction model includes at least one of a vector autoregressive model, a linear autoregressive model, and a multivariate autoregressive model.
As a possible implementation manner, the processing unit 601 is configured to increase an occupied amount of network resources of a first tenant occupying a first access point, specifically:
increasing the occupation amount of the network resources of the first access point occupied by the first tenant, and reducing the occupation amount of the network resources of the first access point occupied by other tenants except the first tenant on the first access point, wherein the increased numerical value of the occupation amount of the network resources of the first access point occupied by the first tenant is equal to the reduced numerical value of the occupation amount of the network resources of the first access point occupied by other tenants;
or increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of the first tenant occupying other APs except the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the first tenant occupying other APs except the first access point;
or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other APs except the first access point, and adjusting the network resource occupation amount of the first tenant occupying other APs except the first tenant, wherein the increased network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other APs and the adjustment value of the network resource occupation amount of the other tenants occupying the APs.
As a possible implementation manner, the second access point is an AP with the highest strength for receiving the signal of the user equipment in the APs except the first access point and/or an AP with the highest user experience value of the first tenant in the APs except the first access point, and the second access point is an AP for providing network resources for the first tenant.
As a possible implementation manner, after switching the user equipment accessing the first tenant on the first access point to the first tenant on the second access point, the processing unit 601 is further configured to reject to switch other tenants to the second access point when the number of user equipment switched to the second access point is greater than or equal to a third threshold.
It should be noted that the implementation of each unit may also correspond to the corresponding description of the network resource allocation method embodiments shown in fig. 2, fig. 4, and fig. 5.
In the network controller described in fig. 6, when the decrease amount of the user experience value of the first tenant on the first access point is greater than or equal to the first threshold, or the user experience value of the first tenant on the first access point is less than or equal to the second threshold, by increasing the network resource occupation amount of the first tenant occupying the first access point or switching the user equipment of the first tenant accessing the first access point to the first tenant on the second access point, the network resource occupied by the tenant on the AP can be adjusted according to the user experience value, thereby avoiding the situation of network resource distribution imbalance among tenants on the AP, and thus improving the utilization rate of network resources.
Based on the system architecture of fig. 1, please refer to fig. 7, fig. 7 is a schematic structural diagram of another network controller according to an embodiment of the present invention, as shown in fig. 7, the network controller 70 includes a processor 701, a memory 702, a communication module 703 and a bus 704, where the processor 701, the memory 702 and the communication module 703 may be connected by the bus or in another manner, and fig. 7 takes the connection by the bus 704 as an example.
Optionally, the network controller 70 may further include a power module 705.
The processor 701 may be a Digital Signal Processing (DSP) chip. The processor 701 is configured to perform network resource allocation. In a specific implementation, the processor 701 may be a general-purpose processor, such as a Central Processing Unit (CPU), and the processor 701 may further include a hardware chip, where the hardware chip may be a combination of one or more of the following: an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), and a Complex Programmable Logic Device (CPLD).
The memory 702 is used for storing a program code of network resource allocation, and in a specific implementation, the memory 702 may be a read-only memory (ROM) or a Random Access Memory (RAM), and may be configured to store the program code of network resource allocation and transmit the program code to the processor 701.
The network controller 70 communicates with a network and an access point using a communication module 703, and the communication mode is wired communication.
The bus 704 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an extended standard architecture (EISA) bus, an integrated circuit bus (IIC), or the like.
The power supply module 705 is used to supply power to the various modules of the network controller 70.
In this embodiment of the present invention, the processor 701 is further configured to call a transmission program code of the system message in the memory 702, and perform the following operations:
when the user experience value of the first tenant on the first access point meets the preset condition, the network resource occupation amount of the first tenant occupying the first access point is increased or the user equipment of the first tenant accessing the first access point is switched to the first tenant on the second access point.
In one embodiment, the user experience value of the first tenant on the first access point meets a preset condition, which includes: the reduction amount of the user experience value of the first tenant on the first access point is greater than or equal to a first threshold value; the user experience value is determined by the average transmission delay of the traffic transmitted by the user equipment on the first tenant at the first access point.
In one embodiment, the user experience value is an average of user experience values of N user equipments on a first tenant accessing a first access point, where N is a positive integer; wherein, the user experience value Xi of the user equipment i in the N user equipments is:
Figure BDA0001319107120000151
wherein i is a positive integer of 1 to N, A, B and C are both constants,
Figure BDA0001319107120000152
avg is the average transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point, and S is the standard deviation of the transmission delay of the service transmitted by the user equipment i on the first tenant on the first access point.
In one embodiment, the user experience value of the first tenant on the first access point meets a preset condition, which includes: the user experience value of the first tenant on the first access point is less than or equal to a second threshold.
In one embodiment, the processor 701 is further configured to read the program code stored in the memory 702 before the processor 701 increases the network resource of the first access point occupied by the first tenant or switches the user equipment occupying the network resource of the first access point to the first tenant on the second access point, and perform the following operations:
reading a network use state table corresponding to a first tenant on a first access point, wherein the network use state table comprises at least one of time period information corresponding to the network use state table, a network resource type of the first access point occupied by the first tenant, a network resource parameter value of the first access point occupied by the first tenant and a preset user experience requirement value, and a second threshold is the preset user experience requirement value;
constructing a prediction model according to a network use state table;
performing effectiveness test on the prediction model, wherein the effectiveness test comprises at least one of stationarity test, causal relationship test and pulse reaction test;
when the prediction model passes the validity check, reading the updated network use state table;
and calculating a user experience value according to the updated network use state table and the prediction model.
In one embodiment, after the processor 701 calculates the user experience value, the processor 701 is further configured to read the program code stored in the memory 702, and perform the following operations:
and re-reading the network use state table and updating the prediction model.
In one embodiment, the predictive model includes at least one of a vector autoregressive model, a linear autoregressive model, and a multivariate autoregressive model.
In an embodiment, the increasing, by the processor 701, the network resource occupation amount of the first tenant occupying the first access point specifically includes:
increasing the occupation amount of the network resources of the first access point occupied by the first tenant, and reducing the occupation amount of the network resources of the first access point occupied by other tenants except the first tenant on the first access point, wherein the increased numerical value of the occupation amount of the network resources of the first access point occupied by the first tenant is equal to the reduced numerical value of the occupation amount of the network resources of the first access point occupied by other tenants;
or increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of the first tenant occupying other APs except the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the first tenant occupying other APs except the first access point;
or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other APs except the first access point, and adjusting the network resource occupation amount of the first tenant occupying other APs except the first tenant, wherein the increased network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other APs and the adjustment value of the network resource occupation amount of the other tenants occupying the APs.
In one embodiment, the second access point is an AP with the highest strength for receiving the signal of the user equipment from the other APs except the first access point and/or an AP with the highest user experience value of the first tenant from the other APs except the first access point, and the second access point is an AP for providing network resources for the first tenant.
In one embodiment, after the processor 701 switches the user equipment accessing the first tenant on the first access point to the first tenant on the second access point, the processor 701 is further configured to read the program code stored in the memory 702, and perform the following operations:
and when the number of the user equipment switched to the second access point is larger than or equal to a third threshold value, rejecting to switch other tenants to the second access point.
It should be noted that the functions of the functional modules described in the embodiments of the present invention may be described according to the corresponding descriptions of the network resource allocation method embodiments shown in fig. 2, fig. 4, and fig. 5, and are not described again here.
In the network controller described in fig. 7, when the decrease amount of the user experience value of the first tenant on the first access point is greater than or equal to the first threshold, or the user experience value of the first tenant on the first access point is less than or equal to the second threshold, by increasing the network resource occupation amount of the first tenant occupying the first access point or switching the user equipment of the first tenant accessing the first access point to the first tenant on the second access point, the network resource occupied by the tenant on the AP can be adjusted according to the user experience value, thereby avoiding the situation of network resource distribution imbalance among tenants on the AP, and thus improving the utilization rate of network resources.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
One of ordinary skill in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by hardware related to instructions of a computer program, which may be stored in a computer-readable storage medium, and when executed, may include the processes of the above method embodiments. And the aforementioned storage medium includes: various media capable of storing program codes, such as ROM or RAM, magnetic or optical disks, etc.

Claims (20)

1. A method for allocating network resources, comprising:
when the reduction amount of the user experience value of a first tenant on a first access point is larger than or equal to a first threshold value, increasing the network resource occupation amount of the first tenant occupying the first access point or switching user equipment accessing the first tenant on the first access point to the first tenant on a second access point;
wherein, the user experience value of a first tenant on the first access point is determined by the average value of the user experience values of N user equipments on the first tenant accessed on the first access point, N is a positive integer; wherein, the user experience value Xi of the user equipment i in the N user equipments is:
Figure FDA0002807828210000011
wherein i is a positive integer of 1 or more and N or less, A, B and C are both constants, and
Figure FDA0002807828210000012
avg is a transmission delay average value of a service transmitted by the user equipment i on the first tenant on the first access point, and S is a transmission delay standard deviation of the service transmitted by the user equipment i on the first tenant on the first access point.
2. The method of claim 1, wherein the increasing the network resource occupancy of the first tenant with the first access point comprises:
increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of other tenants except the first tenant occupying the first access point on the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the other tenants occupying the first access point;
or increasing the network resource occupation amount of the first tenant occupying the first access point, and decreasing the network resource occupation amount of the first tenant occupying the other access points except the first access point, wherein the increased value of the network resource occupation amount of the first tenant occupying the first access point is equal to the decreased value of the network resource occupation amount of the first tenant occupying the other access points except the first access point;
or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other access points except the first access point, and adjusting the network resource occupation amount of the first tenant occupying each access point except the first tenant, wherein the increased value of the network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other access points and the adjustment value of the network resource occupation amount of each access point occupied by the other tenants.
3. The method of claim 1 or 2, wherein the second access point is an access point with the highest strength of a signal received by the user equipment among other access points except the first access point and/or an access point with the highest user experience value of the first tenant among other access points except the first access point, and the second access point is an access point providing network resources for the first tenant.
4. The method of claim 1 or 2, wherein after the handing over a user device accessing the first tenant on the first access point to the first tenant on a second access point, further comprising:
and when the number of the user equipment switched to the second access point is larger than or equal to a third threshold value, rejecting other tenants to be switched to the second access point.
5. A method for allocating network resources, comprising:
reading a network use state table corresponding to a first tenant on a first access point, wherein the network use state table comprises at least one of time period information corresponding to the network use state table, a network resource type of the first access point occupied by the first tenant, a network resource parameter value of the first access point occupied by the first tenant and a preset user experience requirement value;
constructing a prediction model according to the network use state table;
performing an effectiveness test on the prediction model, wherein the effectiveness test comprises at least one of a stationarity test, a causal relationship test and an impulse response test;
reading the updated network usage state table when the prediction model passes the validity check;
calculating a user experience value according to the updated network use state table and the prediction model;
when the user experience value is smaller than or equal to a second threshold value, increasing the network resource occupation amount of the first tenant occupying the first access point or switching the user equipment of the first tenant accessing the first access point to the first tenant on a second access point, wherein the second threshold value is the preset user experience requirement value.
6. The method of claim 5, wherein after calculating the user experience value, further comprising:
and re-reading the network use state table and updating the prediction model.
7. The method of claim 6, wherein the predictive model comprises at least one of a vector autoregressive model, a linear autoregressive model, and a multivariate autoregressive model.
8. The method of any of claims 5 to 7, wherein said increasing the network resource occupancy of the first tenant with the first access point comprises:
increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of other tenants except the first tenant occupying the first access point on the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the other tenants occupying the first access point;
or increasing the network resource occupation amount of the first tenant occupying the first access point, and decreasing the network resource occupation amount of the first tenant occupying the other access points except the first access point, wherein the increased value of the network resource occupation amount of the first tenant occupying the first access point is equal to the decreased value of the network resource occupation amount of the first tenant occupying the other access points except the first access point;
or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other access points except the first access point, and adjusting the network resource occupation amount of the first tenant occupying each access point except the first tenant, wherein the increased value of the network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other access points and the adjustment value of the network resource occupation amount of each access point occupied by the other tenants.
9. The method according to any one of claims 5 to 7, wherein the second access point is an access point with highest strength of receiving the signal of the user equipment among other access points except the first access point and/or an access point with highest user experience value of the first tenant among other access points except the first access point, and the second access point is an access point providing network resources for the first tenant.
10. The method of any of claims 5 to 7, wherein after the handing over a user device accessing the first tenant on the first access point to the first tenant on a second access point, further comprising:
and when the number of the user equipment switched to the second access point is larger than or equal to a third threshold value, rejecting other tenants to be switched to the second access point.
11. A network controller, comprising a processing unit, wherein,
the processing unit is used for increasing the network resource occupation amount of a first tenant occupying a first access point when the reduction amount of the user experience value of the first tenant on the first access point is larger than or equal to a first threshold value;
or, the processing unit is configured to switch, when a decrease amount of a user experience value of a first tenant on a first access point is greater than or equal to the first threshold, a user equipment accessing the first tenant on the first access point to the first tenant on a second access point;
wherein, the user experience value of a first tenant on the first access point is determined by the average value of the user experience values of N user equipments on the first tenant accessed on the first access point, N is a positive integer; wherein, the user experience value Xi of the user equipment i in the N user equipments is:
Figure FDA0002807828210000031
wherein i is a positive integer of 1 or more and N or less, A, B and C are both constants, and
Figure FDA0002807828210000032
avg is a transmission delay average value of a service transmitted by the user equipment i on the first tenant on the first access point, and S is a transmission delay standard deviation of the service transmitted by the user equipment i on the first tenant on the first access point.
12. The network controller according to claim 11, wherein the processing unit is configured to increase an occupation amount of network resources of the first tenant occupying the first access point, specifically:
increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of other tenants except the first tenant occupying the first access point on the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the other tenants occupying the first access point;
or increasing the network resource occupation amount of the first tenant occupying the first access point, and decreasing the network resource occupation amount of the first tenant occupying the other access points except the first access point, wherein the increased value of the network resource occupation amount of the first tenant occupying the first access point is equal to the decreased value of the network resource occupation amount of the first tenant occupying the other access points except the first access point;
or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other access points except the first access point, and adjusting the network resource occupation amount of the first tenant occupying each access point except the first tenant, wherein the increased value of the network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other access points and the adjustment value of the network resource occupation amount of each access point occupied by the other tenants.
13. The network controller according to claim 11 or 12, wherein the second access point is an access point with highest strength of receiving the signal of the user equipment among other access points except the first access point and/or an access point with highest user experience value of the first tenant among other access points except the first access point, and the second access point is an access point providing network resources for the first tenant.
14. The network controller according to claim 11 or 12, wherein the processing unit, after switching the user equipment accessing the first tenant on the first access point to the first tenant on a second access point, is further configured to reject switching other tenants on the second access point when the number of user equipment switched on the second access point is greater than or equal to a third threshold.
15. A network controller, comprising a processing unit,
the processing unit is configured to read a network usage state table corresponding to a first tenant on a first access point, where the network usage state table includes at least one of time period information corresponding to the network usage state table, a network resource type of the first tenant occupying the first access point, a network resource parameter value of the first tenant occupying the first access point, and a preset user experience requirement value;
the processing unit is further used for constructing a prediction model according to the network use state table;
the processing unit is further used for carrying out effectiveness test on the prediction model, and the effectiveness test comprises at least one of stationarity test, causal relationship test and pulse reaction test;
the processing unit is further used for reading the updated network use state table when the prediction model passes the validity check;
the processing unit is further configured to calculate a user experience value according to the updated network usage state table and the prediction model;
the processing unit is further configured to, when the user experience value is less than or equal to a second threshold value, increase the network resource occupation amount of the first access point occupied by the first tenant or switch a user equipment of the first tenant accessing the first access point to the first tenant accessing a second access point, where the second threshold value is the preset user experience requirement value.
16. The network controller of claim 15, wherein the processing unit, after computing the user experience value, is further configured to re-read the network usage state table and update the predictive model.
17. The network controller of claim 16, wherein the predictive model comprises at least one of a vector autoregressive model, a linear autoregressive model, and a multivariate autoregressive model.
18. The network controller according to any one of claims 15 to 17, wherein the processing unit is configured to increase an occupation amount of network resources of the first tenant occupying the first access point, specifically:
increasing the network resource occupation amount of the first tenant occupying the first access point, and reducing the network resource occupation amount of other tenants except the first tenant occupying the first access point on the first access point, wherein the increased numerical value of the network resource occupation amount of the first tenant occupying the first access point is equal to the reduced numerical value of the network resource occupation amount of the other tenants occupying the first access point;
or increasing the network resource occupation amount of the first tenant occupying the first access point, and decreasing the network resource occupation amount of the first tenant occupying the other access points except the first access point, wherein the increased value of the network resource occupation amount of the first tenant occupying the first access point is equal to the decreased value of the network resource occupation amount of the first tenant occupying the other access points except the first access point;
or increasing the network resource occupation amount of the first access point occupied by the first tenant, adjusting the network resource occupation amount of the first tenant occupying other access points except the first access point, and adjusting the network resource occupation amount of the first tenant occupying each access point except the first tenant, wherein the increased value of the network resource occupation amount of the first access point occupied by the first tenant is equal to an adjustment value, and the adjustment value is the sum of the adjustment value of the network resource occupation amount of the other access points and the adjustment value of the network resource occupation amount of each access point occupied by the other tenants.
19. The network controller according to any one of claims 15 to 17, wherein the second access point is an access point with highest strength of receiving the signal of the user equipment among other access points except the first access point and/or an access point with highest user experience value of the first tenant among other access points except the first access point, and the second access point is an access point providing network resources for the first tenant.
20. The network controller according to any one of claims 15 to 17, wherein the processing unit is configured to, after switching a user equipment accessing the first tenant on the first access point to the first tenant on a second access point, refuse to switch other tenants to the second access point when the number of user equipment switched to the second access point is greater than or equal to a third threshold.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101267651A (en) * 2008-04-01 2008-09-17 华为技术有限公司 A method and device for multiple operators to share carrier resources
CN103491556A (en) * 2012-06-13 2014-01-01 华为技术服务有限公司 Method and device for network adjustment
CN104113844A (en) * 2014-07-24 2014-10-22 电信科学技术研究院 Spectrum allocation method and apparatus and information reporting method and apparatus
CN104955101A (en) * 2014-03-28 2015-09-30 中国移动通信集团公司 Load balancing method and balancing device
CN105007210A (en) * 2015-08-05 2015-10-28 东南大学 Network virtualization frame in long term evolution system and resource blocks allocation method
CN105050187A (en) * 2015-06-29 2015-11-11 厦门大学 Method of configuring time frequency resource between household base stations cooperatively and device of configuring time frequency resource between household base stations cooperatively
CN105072620A (en) * 2015-07-08 2015-11-18 东南大学 Network visualization-based resource sharing method among service providers
WO2016076933A1 (en) * 2014-11-12 2016-05-19 T-Mobile Usa, Inc. Quality of experience-based handover management

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8305999B2 (en) * 2007-01-05 2012-11-06 Ravi Palanki Resource allocation and mapping in a wireless communication system
CN102511155B (en) * 2011-12-05 2014-11-05 华为技术有限公司 IP path negotiation method, system and device
EP2621234A1 (en) * 2012-01-30 2013-07-31 Alcatel Lucent Providing information on a mobile terminal to a radio resource management entity of a wireless communication network
US9226193B2 (en) * 2013-05-28 2015-12-29 Rivada Networks, Llc Methods and systems for performing dynamic spectrum arbitrage based on eNodeB transition states
CN103442399B (en) * 2013-08-26 2016-04-06 东莞宇龙通信科技有限公司 Method for switching network, network switched system and terminal
WO2015071704A1 (en) * 2013-11-13 2015-05-21 Nokia Technologies Oy Spectrum sharing for small cells in multi-operator networks
CN105578610B (en) * 2014-11-05 2019-04-02 电信科学技术研究院 A kind of channel access method and equipment
US9596689B2 (en) * 2014-12-18 2017-03-14 Alcatel-Lucent Usa Inc. Radio resource allocation for D2D communications
WO2017034340A1 (en) * 2015-08-25 2017-03-02 엘지전자(주) Method for resource allocation in wireless communication system and apparatus therefor
CN106657183A (en) * 2015-10-30 2017-05-10 中兴通讯股份有限公司 Caching acceleration method and apparatus

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101267651A (en) * 2008-04-01 2008-09-17 华为技术有限公司 A method and device for multiple operators to share carrier resources
CN103491556A (en) * 2012-06-13 2014-01-01 华为技术服务有限公司 Method and device for network adjustment
CN104955101A (en) * 2014-03-28 2015-09-30 中国移动通信集团公司 Load balancing method and balancing device
CN104113844A (en) * 2014-07-24 2014-10-22 电信科学技术研究院 Spectrum allocation method and apparatus and information reporting method and apparatus
WO2016076933A1 (en) * 2014-11-12 2016-05-19 T-Mobile Usa, Inc. Quality of experience-based handover management
CN105050187A (en) * 2015-06-29 2015-11-11 厦门大学 Method of configuring time frequency resource between household base stations cooperatively and device of configuring time frequency resource between household base stations cooperatively
CN105072620A (en) * 2015-07-08 2015-11-18 东南大学 Network visualization-based resource sharing method among service providers
CN105007210A (en) * 2015-08-05 2015-10-28 东南大学 Network virtualization frame in long term evolution system and resource blocks allocation method

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