CN114828132A - User load balancing method for multi-frequency networking - Google Patents
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- H04W36/16—Performing reselection for specific purposes
- H04W36/165—Performing reselection for specific purposes for reducing network power consumption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
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- H04W36/0055—Transmission or use of information for re-establishing the radio link
Abstract
The present disclosure relates to a user load balancing method for multi-frequency networking, which includes: a load balancing parameter setting step, in which a load threshold difference value between multiple carrier frequencies and an initial set of cell reselection parameters are preset; a service load obtaining step, wherein the base station monitors or intelligently predicts the actual service load of each carrier frequency; a service load judging step, judging whether the user service load difference between two carrier frequencies is higher than the load threshold difference between multiple carrier frequencies; a cell reselection parameter adjusting step, when the difference value of the user service load is judged to be lower than the threshold difference value of the load among the multiple carrier frequencies, the cell reselection parameter broadcasted by the base station at present is kept unchanged, and when the difference value of the user service load is judged to be higher than the threshold difference value of the load among the multiple carrier frequencies, the cell reselection parameter is adjusted so as to carry out user load balance control of the multi-frequency networking; and a system message sending step, wherein the base station periodically broadcasts and sends the updated cell reselection parameters as system messages.
Description
Technical Field
The present disclosure relates generally to the field of mobile communications, and more particularly, to a method for user load balancing in a multi-frequency networking.
Background
With the development of communication technology, LTE (Long Term Evolution) technology, which is a 4G wireless standard, has been widely popularized, and technology oriented to the future 5G NR (New Radio) standard is also rapidly expanding as a New generation of cellular mobile communication technology. In a wireless communication network, different communication systems are generally divided into different frequency bands. Since the resources of a single frequency band are limited, it is usually necessary to plan a plurality of different frequency bands to form a network pattern of a multi-frequency network. For example, under the 4G communication architecture, a certain telecom operator has built a multi-frequency networking LTE system with three high and low frequencies, 800M, 1800M and 2100M. Similar multi-frequency networking modes will still be used under future 5G communication architectures.
Under the condition of multi-frequency networking, in order to effectively improve the utilization efficiency of limited frequency spectrum resources and improve the user experience of a user in utilizing a network, user load balancing among multiple frequencies becomes a key point of attention of telecommunication operators.
Regarding the distribution and coordination of user loads among Multiple frequencies, in an existing CDMA (Code Division Multiple Access) technology system, a terminal calculates a frequency point where the terminal resides by a Hash algorithm according to a frequency point list transmitted in a CDMA channel list. Due to the randomness of the Hash algorithm, the number of terminals residing on each frequency point is basically balanced.
On the other hand, in the existing technical systems such as LTE, for a connected terminal, Mobility Load Balancing (MLB) of a Self-Organizing Network (SON) can effectively solve the problem of user migration from a high-Load cell to a co-frequency neighboring cell or a co-frequency neighboring cell. Or when the terminal accesses the network, the base station enables the terminal to access to another frequency band across the frequency bands based on the user service type by a method of assigning a service channel across the frequency bands, thereby adjusting the loads of different frequency bands; however, this method increases the access duration and risks reducing the access success rate. For an idle terminal, a UE (User Equipment) performs cell selection and cell reselection by reading a System Information Block (SIB) to implement cell camping.
At present, under the condition of LTE or NR multi-frequency networking, a static configuration mode is adopted for system messages, so that users basically reside in a high-priority frequency band planned by an operator in a centralized manner, and therefore, users mostly access and develop services on the high-priority frequency band, which causes unbalanced service load statistics in multi-frequency networking of the existing network and may seriously affect the mobile experience of users in a high-load area.
Disclosure of Invention
The present disclosure aims to provide a user load balancing method for a multi-frequency networking, which aims at solving the problem that an idle terminal is centrally resided on a high-priority frequency band planned by an operator due to static configuration of a system message containing cell reselection parameters under the existing multi-frequency networking condition, so that the service load of a user is unbalanced.
The following presents a simplified summary of the disclosure in order to provide a basic understanding of some aspects of the disclosure. However, it should be understood that this summary is not an exhaustive overview of the disclosure. It is not intended to identify key or critical elements of the disclosure or to delineate the scope of the disclosure. Its sole purpose is to present some concepts of the disclosure in a simplified form as a prelude to the more detailed description that is presented later.
According to an aspect of the present disclosure, a method for balancing user load in a multi-frequency networking is provided, the method comprising: a step of setting load balancing parameters, which is to respectively preset a load threshold difference value between multiple carrier frequencies and set an initial set of cell reselection parameters for each multiple carrier frequency cell in a multi-frequency networking system; a service load obtaining step, wherein the base station monitors or intelligently predicts the actual service load of each carrier frequency aiming at each carrier frequency in the multi-carrier frequency; a service load judging step, judging whether the user service load difference between any two carrier frequencies in a plurality of carrier frequencies in a multi-carrier frequency cell is higher than the set load threshold difference between the multi-carrier frequencies according to the actual service load; a cell reselection parameter adjusting step of keeping a system message currently broadcasted by the base station and including cell reselection parameters unchanged when the difference value of the user service load is judged to be lower than the set load threshold difference value among the multiple carrier frequencies in the service load judging step, and adjusting the cell reselection parameters to be broadcasted by the base station when the difference value of the user service load is judged to be higher than the set load threshold difference value among the multiple carrier frequencies so as to perform user load balance control of the multi-frequency networking; and a system message sending step, wherein the base station periodically broadcasts and sends the updated cell reselection parameters as system messages.
According to another aspect of the present disclosure, there is provided a user load balancing apparatus for a multi-frequency networking, the apparatus may include: a memory having instructions stored thereon; and a processor configured to execute instructions stored on the memory to perform the method for user load balancing for a multi-frequency network of the above aspect of the disclosure.
According to yet another aspect of the present disclosure, a computer-readable storage medium is provided, which may include computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform a method of user load balancing for a multi-frequency network set according to the above-described aspect of the present disclosure.
According to yet another aspect of the present disclosure, a computer program product is provided, which comprises computer program/instructions, characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method for user load balancing for multi-frequency networking according to the above aspect of the present disclosure.
According to the user load balancing method of the multi-frequency networking, the method is particularly suitable for LTE and NR multi-frequency networking scenes, cell reselection parameters are dynamically configured to serve as system messages automatically according to the load threshold difference value among the multi-carrier frequencies, so that the balance of the number of users and the user load among the multi-carrier frequencies can be effectively achieved, and signaling load brought by user inter-frequency migration is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:
fig. 1 illustrates an example flow diagram of a method 100 for user load balancing for multi-frequency networking in accordance with an embodiment of the present disclosure;
FIG. 2 illustrates an exemplary configuration of a computing device 200 in which embodiments in accordance with the present disclosure may be implemented.
Detailed Description
The following detailed description is presented with reference to the accompanying drawings to assist in a comprehensive understanding of various exemplary embodiments of the disclosure. The following description includes various details to aid understanding, but these details are to be regarded as examples only and are not intended to limit the disclosure, which is defined by the appended claims and their equivalents. The words and phrases used in the following description are used only to provide a clear and consistent understanding of the disclosure. In addition, descriptions of well-known structures, functions, and configurations may be omitted for clarity and conciseness. Those of ordinary skill in the art will recognize that various changes and modifications of the examples described herein can be made without departing from the spirit and scope of the disclosure.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail and are intended to be part of the specification where appropriate. The techniques of this disclosure can be applied to a variety of products.
For ease of understanding and explanation, the user load balancing method for multi-frequency networking according to the embodiment of the present disclosure is mainly illustrated in the example of the 5G network architecture so far in the telecommunication industry and the number of multi-carrier frequencies is two carrier frequencies, but this is not limiting. The technical gist of the present disclosure may be applied not only to any general network architecture, such as any existing network architecture, but also to a network architecture of a future communication system, and the like; of course, the method can also be applied to any suitable scene with more than 3 carrier frequencies.
Hereinafter, an overall flow of a user load balancing method of a multi-frequency networking according to an embodiment of the present disclosure will be described first. Fig. 1 illustrates an example flow diagram of a method 100 for user load balancing for multi-frequency networking in accordance with an embodiment of the disclosure. Preferably, the method 100 for balancing user load of multi-frequency networking according to the embodiment of the present disclosure may be performed in, for example, a base station for multi-frequency networking, and may generally include the following steps S110 to S150. The details of each of steps S110 to S150 are as follows:
load balancing parameter setting step S110: the method comprises the steps of presetting a load threshold difference value among multiple carrier frequencies respectively for each multi-carrier frequency cell in a multi-frequency networking system, and setting an initial set of cell reselection parameters.
Preferably, the cell reselection parameters may include one or more selected from the group of: a multi-carrier frequency, a frequency priority, a high priority frequency signal quality threshold, a low priority frequency signal quality threshold. The multicarrier frequency included in the initial set of cell reselection parameters may be (f1, f2), the frequency priority may be f1 higher than f2, and the like. As the Signal Quality, parameters such as RSRP (Reference Signal Receiving Power) and RSRQ (Reference Signal Receiving Quality) can be used.
A service load acquisition step S120: and aiming at each carrier frequency in the multi-carrier frequency, the base station monitors or intelligently predicts the actual service load of each carrier frequency.
The parameter representing the load of a specific carrier frequency in a specific cell may be, for example, the number of RRC (Radio Resource Control) connected users, the utilization rate of PRB (Physical Resource Block), and the like. As the intelligent prediction of the traffic load by the base station, for example, a time series analysis method, a prediction method using an autoregressive-moving average model, or the like can be used.
Traffic load determination step S130: and judging whether the user service load difference between any two carrier frequencies in the multiple carrier frequencies in the multi-carrier frequency cell is higher than the set load threshold difference between the multiple carrier frequencies or not according to the actual service load.
Cell reselection parameter adjustment step S140: when it is determined in the service load determining step S130 that the user service load difference is lower than the set inter-multiple-carrier load threshold difference, the system message including the cell reselection parameter currently broadcast by the base station is kept unchanged, and when it is determined that the user service load difference is greater than the set inter-multiple-carrier load threshold difference, the cell reselection parameter to be broadcast by the base station is adjusted to perform user load balancing control of the multi-frequency networking.
System message sending step S150: periodically broadcasting, by the base station, the updated cell reselection parameters as system messages.
As shown in fig. 1, according to the method 100 for balancing user load in a multi-frequency networking of the embodiment of the present disclosure, a cyclic judgment is continuously performed, and by setting a load threshold difference between multiple carrier frequencies and performing dynamic differential configuration on cell reselection parameters, idle terminals are more evenly distributed on each frequency band, so that the unbalanced distribution of current user services can be fundamentally solved, the efficiency of wireless spectrum resources is improved, the mobility experience of users is improved, and the balance of user load in the multi-frequency networking is achieved.
Preferably, the difference value of the loading threshold between the multiple carriers can be dynamically differentiated and set within a certain range in the following way: the inter-multi-carrier load threshold difference is automatically set to a larger value within the certain range when the service is idle, and automatically set to a smaller value within the certain range when the service is busy. This can reduce the frequency of adjusting the cell reselection parameter.
Preferably, in the step S140 of adjusting the cell reselection parameter, when it is determined that the difference between the user traffic loads is greater than or equal to the set threshold difference between the multiple carrier frequencies, the frequency priority of the carrier frequency with low load may be increased, and the frequency priority of the carrier frequency with high load may be decreased. This makes it possible to set the frequency priority of the carrier frequency having the low original frequency priority higher than the frequency priority of the carrier frequency having the high original frequency priority.
Preferably, in the cell reselection parameter adjusting step S140, when it is determined that the user service load difference is greater than or equal to the set inter-multiple-carrier load threshold difference, the high-priority frequency signal quality threshold and/or the low-priority frequency signal quality threshold may be adjusted.
Specifically, when it is determined that the user traffic load difference is greater than or equal to the set inter-multi-carrier load threshold difference, at least one of the high-priority frequency signal quality threshold and the low-priority frequency signal quality threshold may be adjusted. In general, when a terminal reselects a cell, the terminal reselects the cell with a high priority frequency point by default, and only when the signal quality of the high priority frequency point is poor and the signal quality of the low priority frequency point is good, the terminal may reselect the low priority frequency point. For example, when the high priority frequency signal quality threshold is increased, the signal quality of the terminal residing in the cell of the high priority frequency point is more likely to decrease to the threshold in the current residing cell; and when the signal quality of the terminal is reduced to the threshold, measuring the signal quality of the cell of the low-priority frequency point, and if the signal quality of the cell of the low-priority frequency point is higher than a certain degree, reselecting the cell of the low-load low-priority frequency point by the terminal. On the other hand, for the low-priority frequency signal quality threshold, when the signal quality of the cell residing in the low-priority frequency point is lower than the low-priority frequency signal quality threshold, the terminal directly reselects to the cells of other high-priority frequency points without detecting the signal quality of the cells of other high-priority frequency points. Therefore, if the low-priority frequency signal quality threshold is lowered, the signal quality of the terminal residing in the cell of the low-priority frequency point in the current residing cell is less likely to be lowered to the threshold, so that the terminal residing in the cell of the low-priority frequency point can more easily continue to reside in the cell of the relatively low-load and low-priority frequency point.
In the cell reselection parameter adjusting step S140, the frequency priority may be adjusted alone, the signal quality threshold may be adjusted alone, or both the frequency priority and the signal quality threshold may be adjusted at the same time, and the adjustments of these parameters may be combined appropriately according to actual situations.
Therefore, the user in the idle state can more easily reselect the carrier frequency with the current low load to reside, so that the user in the idle state can more access and expand services on the current low-load frequency band, the user load balance of the multi-frequency networking is realized, and the user mobile experience in a high-load area is improved.
Through testing, under the condition that the user load balancing method of the multi-frequency networking is adopted, compared with the condition that the method is not adopted, the load of each frequency band in a plurality of carrier frequencies is obviously more balanced according to user load indexes such as PRB utilization rate or the number of RRC connected users. The user mobile experience with the switching success rate as an index can be obviously improved.
In addition, according to the user load balancing method for the multi-frequency networking of the embodiment of the disclosure, inter-frequency migration of a user in a service access or use process can be avoided as much as possible, and a network load generated by air interface signaling interaction and a network load generated by traffic migration are saved.
Further, according to an embodiment of the present disclosure, there may be provided a user load balancing apparatus for multi-frequency networking, including: a memory having instructions stored thereon; and a processor configured to execute instructions stored on the memory to perform a method 100 of user load balancing for multi-frequency networking in accordance with an embodiment of the present disclosure.
According to an embodiment of the present disclosure, there may also be provided a computer-readable storage medium comprising computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the method 100 of user load balancing for multi-frequency networking according to an embodiment of the present disclosure.
According to an embodiment of the present disclosure, there may also be provided a computer program product comprising computer program/instructions, characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method 100 for user load balancing of a multi-frequency networking according to an embodiment of the present disclosure.
Fig. 2 illustrates an exemplary configuration diagram of a computing device 200 capable of implementing embodiments in accordance with the present disclosure.
As shown in fig. 2, computing device 200 may include one or more elements that may be connected to or in communication with bus 202 via one or more interfaces. Bus 202 may include, but is not limited to: industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, enhanced ISA (eisa) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus. Computing device 200 may include, for example, one or more processors 204, one or more input devices 206, and one or more output devices 208. The one or more processors 204 may be any kind of processor and may include, but are not limited to, one or more general purpose processors or special purpose processors (such as special purpose processing chips). The processor 204 may be configured to implement the method 100 for user load balancing for multi-frequency networking according to the above-described aspects of the present disclosure, for example. Input device 206 may be any type of input device capable of inputting information to a computing device and may include, but is not limited to, a mouse, a keyboard, a touch screen, a microphone, and/or a remote controller. Output device 208 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, a video/audio output terminal, a vibrator, and/or a printer.
The computing device 200 may also include or be connected to a non-transitory storage device 214, which non-transitory storage device 214 may be any non-transitory and may implement a storage device for data storage, and may include, but is not limited to, a disk drive, an optical storage device, a solid state memory, a floppy disk, a flexible disk, a hard disk, a magnetic tape, or any other magnetic medium, a compact disk, or any other optical medium, a cache memory, and/or any other memory chip or module, and/or any other medium from which a computer may read data, instructions, and/or code. The computing device 200 may also include Random Access Memory (RAM)210 and Read Only Memory (ROM) 212. The ROM 212 may store programs, utilities or processes to be executed in a nonvolatile manner. The RAM 210 may provide volatile data storage and store instructions related to the operation of the computing device 200. Computing device 200 may also include a network/bus interface 216 that couples to a data link 218. The network/bus interface 216 may be any kind of device or system capable of enabling communication with external devices and/or networks, and may include, but is not limited to, a modem, a network card, an infrared communication device, a wireless communication device, and/or a chipset (such as bluetooth) TM Devices, 802.11 devices, WiFi devices, WiMax devices, cellular communications facilities, etc.).
The present disclosure may be implemented as any combination of apparatus, systems, integrated circuits, and computer programs on non-transitory computer readable media. One or more processors may be implemented as an Integrated Circuit (IC), an Application Specific Integrated Circuit (ASIC), or a large scale integrated circuit (LSI), a system LSI, or a super LSI, or as an ultra LSI package that performs some or all of the functions described in this disclosure.
The present disclosure includes the use of software, applications, computer programs or algorithms. Software, applications, computer programs, or algorithms may be stored on a non-transitory computer readable medium to cause a computer, such as one or more processors, to perform the steps described above and depicted in the figures. For example, one or more memories store software or algorithms in executable instructions and one or more processors may associate a set of instructions to execute the software or algorithms to provide various functionality in accordance with embodiments described in this disclosure.
Software and computer programs (which may also be referred to as programs, software applications, components, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural, object-oriented, functional, logical, or assembly or machine language. The term "computer-readable medium" refers to any computer program product, apparatus or device, such as magnetic disks, optical disks, solid state storage devices, memories, and Programmable Logic Devices (PLDs), used to provide machine instructions or data to a programmable data processor, including a computer-readable medium that receives machine instructions as a computer-readable signal.
By way of example, computer-readable media can comprise Dynamic Random Access Memory (DRAM), Random Access Memory (RAM), Read Only Memory (ROM), electrically erasable read only memory (EEPROM), compact disk read only memory (CD-ROM) or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired computer-readable program code in the form of instructions or data structures and which can be accessed by a general-purpose or special-purpose computer or a general-purpose or special-purpose processor. Disk or disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above are also included within the scope of computer-readable media.
The subject matter of the present disclosure is provided as examples of apparatus, systems, methods, and programs for performing the features described in the present disclosure. However, other features or variations are contemplated in addition to the features described above. It is contemplated that the implementation of the components and functions of the present disclosure may be accomplished with any emerging technology that may replace the technology of any of the implementations described above.
Additionally, the above description provides examples, and does not limit the scope, applicability, or configuration set forth in the claims. Changes may be made in the function and arrangement of elements discussed without departing from the spirit and scope of the disclosure. Various embodiments may omit, substitute, or add various procedures or components as appropriate. For example, features described with respect to certain embodiments may be combined in other embodiments.
Additionally, in the description of the present disclosure, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In some cases, multitasking and parallel processing may be advantageous.
Claims (9)
1. A user load balancing method for multi-frequency networking comprises the following steps:
a step of setting load balancing parameters, which is to respectively preset a load threshold difference value between multiple carrier frequencies and set an initial set of cell reselection parameters for each multiple carrier frequency cell in a multi-frequency networking system;
a service load obtaining step, wherein the base station monitors or intelligently predicts the actual service load of each carrier frequency aiming at each carrier frequency in the multi-carrier frequency;
a service load judging step, judging whether the user service load difference between any two carrier frequencies in a plurality of carrier frequencies in a multi-carrier frequency cell is higher than the set load threshold difference between the multi-carrier frequencies according to the actual service load;
a cell reselection parameter adjusting step of keeping a system message currently broadcasted by the base station and including cell reselection parameters unchanged when the difference value of the user service load is judged to be lower than the set load threshold difference value among the multiple carrier frequencies in the service load judging step, and adjusting the cell reselection parameters to be broadcasted by the base station when the difference value of the user service load is judged to be higher than the set load threshold difference value among the multiple carrier frequencies so as to perform user load balance control of the multi-frequency networking; and
and a system message sending step, wherein the base station periodically broadcasts and sends the updated cell reselection parameters as system messages.
2. The method for user load balancing for multi-frequency networking according to claim 1, wherein,
the difference value of the load threshold between the multiple carrier frequencies is dynamically and differentially set in a certain range, so that the difference value of the load threshold between the multiple carrier frequencies is automatically set to be a larger value in the certain range when the service is idle, and the difference value of the load threshold between the multiple carrier frequencies is automatically set to be a smaller value in the certain range when the service is busy.
3. The method for user load balancing for multi-frequency networking according to claim 1, wherein,
the cell reselection parameters include one or more selected from the group of: a multi-carrier frequency, a frequency priority, a high priority frequency signal quality threshold, a low priority frequency signal quality threshold.
4. The method for user load balancing for multi-frequency networking according to claim 3,
in the step of adjusting the cell reselection parameters, when the difference value of the user service load is judged to be more than the set load threshold difference value among the multiple carrier frequencies, the frequency priority of the carrier frequency with low load is increased, and the frequency priority of the carrier frequency with high load is decreased.
5. The method for user load balancing for multi-frequency networking according to claim 3 or 4,
in the step of adjusting the cell reselection parameters, when the difference value of the user service load is judged to be more than the set load threshold difference value among the multiple carrier frequencies, the quality threshold of the high-priority frequency signal and/or the quality threshold of the low-priority frequency signal are/is adjusted.
6. The method for user load balancing for multi-frequency networking according to claim 5, wherein,
in the cell reselection parameter adjusting step, when the difference value of the user service load is judged to be more than the set load threshold difference value among the multiple carrier frequencies, the high priority frequency signal quality threshold is adjusted to be higher and/or the low priority frequency signal quality threshold is adjusted to be lower.
7. A user load balancing apparatus for multi-frequency networking, comprising:
a memory having instructions stored thereon; and
a processor configured to execute instructions stored on the memory to perform a method of user load balancing for a multi-frequency networking according to any one of claims 1 to 6.
8. A computer-readable storage medium comprising computer-executable instructions that, when executed by one or more processors, cause the one or more processors to perform the method for user load balancing for a multi-frequency network set as claimed in any one of claims 1 to 6.
9. A computer program product comprising computer programs/instructions, characterized in that the computer programs/instructions, when executed by a processor, implement the steps of the method for user load balancing for multi-frequency networks according to any of claims 1 to 6.
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| CN110784893A (en) * | 2019-11-07 | 2020-02-11 | 中国联合网络通信集团有限公司 | Multi-carrier load balancing method, device, core network equipment and storage medium |
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