CN110381536B - Load balancing method and system based on L WIP architecture - Google Patents

Load balancing method and system based on L WIP architecture Download PDF

Info

Publication number
CN110381536B
CN110381536B CN201910554921.5A CN201910554921A CN110381536B CN 110381536 B CN110381536 B CN 110381536B CN 201910554921 A CN201910554921 A CN 201910554921A CN 110381536 B CN110381536 B CN 110381536B
Authority
CN
China
Prior art keywords
threshold
interference
signal
user equipment
noise ratio
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910554921.5A
Other languages
Chinese (zh)
Other versions
CN110381536A (en
Inventor
王莹
宋文昊
吕鑫鹏
宁伟宸
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing University of Posts and Telecommunications
Original Assignee
Beijing University of Posts and Telecommunications
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing University of Posts and Telecommunications filed Critical Beijing University of Posts and Telecommunications
Priority to CN201910554921.5A priority Critical patent/CN110381536B/en
Publication of CN110381536A publication Critical patent/CN110381536A/en
Application granted granted Critical
Publication of CN110381536B publication Critical patent/CN110381536B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/0231Traffic management, e.g. flow control or congestion control based on communication conditions
    • H04W28/0236Traffic management, e.g. flow control or congestion control based on communication conditions radio quality, e.g. interference, losses or delay
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/08Load balancing or load distribution

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention provides a load balancing method and system based on L WIP architecture, the method comprises the steps of obtaining the signal-to-interference-and-noise ratio of user equipment at the current moment, calculating and obtaining the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio, obtaining the channel utilization rate and the time delay parameter of a cell to which the user equipment belongs at the current moment, calculating and obtaining a multi-parameter combined influence threshold according to the qualification rate of the signal-to-interference-and-noise ratio, the channel utilization rate and the time delay parameter, calculating and obtaining a preset dynamic threshold according to the multi-parameter combined influence threshold and an initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell when a switching condition meets a preset condition.

Description

Load balancing method and system based on L WIP architecture
Technical Field
The invention relates to the technical field of communication, in particular to a load balancing method and system based on L WIP architecture.
Background
L WIP (L TE W L AN Radio L ev el Integration with IPsec Tunnel) also faces some load balancing problems, the proportion of mobile data is more and more important in the increase of data traffic, and the mobility of users is a very important characteristic attribute.
L WIP structure is very different compared with L WA, the branching strategy of L0 WA mostly carries out data branching or aggregation in PDCP layer, and L WIP data carries out data branching and aggregation in its self-defined L A L layer, at the same time, because L WIP has no reordering support, it can not transmit and then aggregate respectively through L TE and W L AN, only can support single bearer, this way is to transmit data completely through W L AN link or L TE link, it can be seen that this transmission way has poor load balancing capability.
In the existing research, the research on L WIP load balancing is almost blank, and since L WIP and L WA have different architectures and carrying manners, the load balancing method of L WA cannot be directly applied, so that intensive research on L WIP is needed.
Disclosure of Invention
In order to solve the problems that the L WIP architecture cannot apply the L WA load balancing method and the L WIP architecture lacks a load balancing means in the prior art, a load balancing method and system based on the L WIP architecture are provided.
In a first aspect, an embodiment of the present invention provides a load balancing method based on L WIP architecture, including:
acquiring the signal-to-interference-and-noise ratio of user equipment at the current moment, and calculating to obtain the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio;
acquiring the channel utilization rate and the time delay parameter of a cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter;
and calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
The method comprises the steps of sending AN IP detection packet to the user equipment through a W L AN path, receiving feedback information returned by the user equipment, and carrying out data transmission through a W L AN path if the feedback information meets preset conditions.
Wherein, the step of determining if the feedback information satisfies a preset condition specifically includes: and if the number of lost probes in the feedback information is judged and obtained to be less than the maximum loss number allowed by a preset threshold, the average detection time delay is less than the maximum time delay allowed by the threshold, and the average detection rate is greater than the maximum rate allowed by the threshold, judging that the feedback information meets the preset condition.
The step of obtaining the signal to interference plus noise ratio of the user equipment at the current moment and calculating the qualification rate of the signal to interference plus noise ratio according to the signal to interference plus noise ratio specifically comprises the following steps:
obtaining the signal-to-interference-and-noise ratio of the cell to which the user equipment belongs at the current moment
Figure BDA0002106601980000021
By the formula:
Figure BDA0002106601980000022
calculating to obtain the qualification rate of the signal to interference and noise ratio, wherein PRS is the qualification rate of the signal to interference and noise ratio and SINRmaxIs a preset parameter.
The step of calculating and obtaining a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter specifically comprises the following steps:
according to the formula:
Thmix=α·PRS+β·CUR+χ·PRD
calculating to obtain a combined influence threshold of multiple parameters, wherein ThmixFor the multi-parameter combined influence threshold, the PRS is the signal-to-interference-and-noise ratio qualification rate, the CUR is the channel utilization rate, the PRD is the delay parameter, α, β and χ are preset parameters, and α + β + χ is 1, α > β > χ.
Wherein, the step of obtaining a preset dynamic threshold by calculation according to the multi-parameter combined influence threshold and the initial fixed threshold specifically comprises:
according to the formula:
Thdy=max{Thfix,Thmix}
calculating to obtain a preset dynamic threshold value, wherein ThdyTo preset dynamic threshold, ThfixTo initially fix the threshold, ThmixThe threshold is affected for a multi-parameter combination.
The step of determining, according to the preset dynamic threshold, that the cell to which the user equipment currently belongs is in an overload state, and if a switching condition meets a preset condition, switching the user equipment to an adjacent cell specifically includes: and when the cell to which the user equipment belongs currently is judged to be in an overload state according to the preset dynamic threshold value and the signal quality and the offset of the adjacent cell meet preset conditions, switching the user equipment to the adjacent cell.
In a second aspect, an embodiment of the present invention provides a load balancing system based on the L WIP architecture, including:
the signal-to-interference-and-noise ratio acquisition module is used for acquiring the signal-to-interference-and-noise ratio of the user equipment at the current moment and calculating and acquiring the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio;
the multi-parameter joint influence threshold calculation module is used for acquiring the channel utilization rate and the time delay parameter of the cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter joint influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter;
and the load balancing module is used for calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
In a third aspect, an embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the L WIP architecture-based load balancing method provided in the first aspect.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the L WIP architecture-based load balancing method provided in the first aspect.
The load balancing method and system based on L WIP architecture provided by the embodiment of the invention provide appropriate network configuration and management, can estimate the load state of the current overload cell and the candidate target cell, and determine the switching of UE (user equipment) so as to effectively distribute load.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a load balancing method based on L WIP architecture according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating an A3 event trigger in a load balancing method based on L WIP architecture according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the triggering of an event A5 in the L WIP based load balancing method according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a load balancing system based on the L WIP architecture according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flowchart of a load balancing method based on L WIP architecture according to an embodiment of the present invention, where the method includes:
s1, acquiring the signal to interference plus noise ratio of the user equipment at the current moment, and calculating to obtain the qualification rate of the signal to interference plus noise ratio according to the signal to interference plus noise ratio;
s2, obtaining the channel utilization rate and the time delay parameter of the cell to which the user equipment belongs at the current moment, and calculating to obtain a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter;
s3, calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
Specifically, in this embodiment, the L WIP features enable dense deployment of small cells, which can significantly increase network capacity, and therefore, a mobility load balancing scheme supplement is proposed for the problems of user mobility and small cell coverage.
It is known from the W L AN boost scheme that the L TE base station can provide the most suitable access scheme for each user in the initial stage, but when all users access and move in a small cell, the situation of partial cell overload and partial cell light load occurs, which results in incomplete resource Utilization.
Calculating the qualification rate of the SINR of the cell by acquiring the time T in the cell i and the SINR of the user equipment within the given duration T and according to the SINR of the user equipment, and on the other hand, calculating and acquiring a multi-parameter combined influence threshold Th according to the channel utilization rate and the delay qualification rate of the cellmix
Whether overload is judged by introducing a threshold value, in order to fully balance network performance, the fixed threshold value is not suitable for the scene in the embodiment, therefore, a dynamic threshold value is provided in the embodiment, the dynamic threshold value is obtained by calculation according to the multi-parameter combined influence threshold value and the initial fixed threshold value, whether the cell is in an overload state is judged according to the dynamic threshold value, if the cell is in the overload state, whether the adjacent cell meets a switching condition is judged, and when the adjacent cell meets the switching condition, the user equipment is switched from the current cell to the adjacent cell.
By the method, appropriate network configuration and management are provided, the load state of the current overload cell and the candidate target cell can be estimated, and the switching of the UE is determined so as to effectively distribute the load.
On the basis of the embodiment, before the step of acquiring the signal-to-interference-and-noise ratio of the user equipment at the current moment, the method further comprises the steps of sending AN IP detection packet to the user equipment through a W L AN path, receiving feedback information returned by the user equipment, and carrying out data transmission through a W L AN path if the feedback information meets preset conditions.
The step of determining whether the feedback information meets a preset condition specifically includes: and if the number of lost probes in the feedback information is judged and obtained to be less than the maximum loss number allowed by a preset threshold, the average detection time delay is less than the maximum time delay allowed by the threshold, and the average detection rate is greater than the maximum rate allowed by the threshold, judging that the feedback information meets the preset condition.
Specifically, in a heterogeneous network with L TE as the primary node and W L AN as the secondary node, due to the limitations of W L AN, such as the capture effect (a phenomenon that occurs when two signals have nearly equal amplitudes at the receiving end-a small difference in relative amplitudes will dominate the stronger of the two signals, replacing the other signal at the demodulation output) -different APs that are close to the UE will cause interference problems with U L, resulting in poor quality of service-conversely, L TE systems with centralized dispatch access do not have the problem of U L collisions.
Because the UE is intended to be connected to the W L AN path, the path is switched to the L TE path in the event of congestion being detected in the W L AN path, and when congestion relief is detected, the path is switched back to W L AN. and when a connection request is initiated, the L TE base station will determine the best path to which the UE is connected.
Radio link statistics can be obtained from the MAC of the L TE eNB for the L TE path, but such statistics cannot be obtained from the W L AN AP, probing the W L AN path for evaluating its performance and generating the necessary statistics, IP congestion detection in L WIP is specifically done by co-operation of the RAN Connectivity Manager (RCM) at the L TE base station side and the UE Connectivity Manager (UCM) at the UE side, in the initial phase, for probing the W L AN path, the RCM sends AN IP probe packet of size s to user u at rate r over the W L AN path x in t seconds, at the UCM 1 is collected, probe loss part, 2, average probe delay, and 3, average probe throughput.
Number of lost probes < threshold allowed maximum number of losses
Average probe delay < threshold allowed maximum delay
Average probe rate > threshold allowed minimum rate
When the three meet the condition of being better than the threshold value, the transmission is carried out by using a W L AN path, otherwise, the transmission is carried out by using L TE, meanwhile, no extra user switching is generated in one switching time, so that the large-scale switching is ensured not to occur, and the instability problem is avoided.
The scheme can improve the performance of L WIP heterogeneous network to a certain extent, but has some defects due to the fixation of threshold and the mobility of users, so that the mobile load balancing scheme is utilized for joint optimization to achieve the best performance.
On the basis of the above embodiment, the step of obtaining the sir of the ue at the current time and calculating the qualification rate of the sir according to the sir specifically includes:
obtaining the signal-to-interference-and-noise ratio of the cell to which the user equipment belongs at the current moment
Figure BDA0002106601980000071
By the formula:
Figure BDA0002106601980000072
calculating to obtain the qualification rate of the signal to interference and noise ratio, wherein PRS is the qualification rate of the signal to interference and noise ratio and SINRmaxIs a preset parameter.
The step of calculating and obtaining a multi-parameter combined influence threshold according to the SINR qualification rate, the channel utilization rate and the delay parameter specifically comprises:
according to the formula:
Thmix=α·PRS+β·CUR+χ·PRD
calculating to obtain a combined influence threshold of multiple parameters, wherein ThmixIs a multi-parameter combined influence threshold, PRS is the signal-to-interference-and-noise ratio qualification rate, CUR is the channel utilization rate, PRD is the delay parameter, α, β and χ are preset parameters, and α + β +χ=1,α>β>>χ。
The step of calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold specifically includes:
according to the formula:
Thdy=max{Thfix,Thmix}
calculating to obtain a preset dynamic threshold value, wherein ThdyTo preset dynamic threshold, ThfixTo initially fix the threshold, ThmixThe threshold is affected for a multi-parameter combination.
Specifically, for a given duration T, the signal to interference plus noise ratio (snr) yield PRS at time T in cell i is expressed as:
Figure BDA0002106601980000081
Figure BDA0002106601980000082
is the SINR of the user at time t in cell imaxSet to a higher constant value when
Figure BDA0002106601980000083
Greater than SINRmaxThe user is considered to have reached the best performance, so when
Figure BDA0002106601980000084
Greater than SINRmaxSeason
Figure BDA0002106601980000085
Equal to SINRmaxThe formula is written as:
Figure BDA0002106601980000086
wherein PRS is the qualification rate of signal to interference and noise ratio and SINRmaxIs a preset parameter.
The CUR is represented as:
Figure BDA0002106601980000087
wherein N iscIs the total number of channels available in cell i,
Figure BDA0002106601980000088
is the number of channels utilized at time τ. When the CUR is less than 1, it indicates that there are idle channels in the cell, and when the CUR is equal to 1, it can be considered that the channels are completely occupied, and the cell is overloaded.
PRD is expressed as:
Figure BDA0002106601980000089
Figure BDA00021066019800000810
denoted as the time Delay, of the user at time τ in cell imaxIs the maximum time Delay allowed by the user, and when the user time Delay is greater than DelaymaxWhen it is used, order
Figure BDA00021066019800000811
Equals to DelaymaxThe formula can be rewritten as:
Figure BDA00021066019800000812
when the PRD is 1, the user experience is low, and the smaller the PRD is, the smaller the user delay is. The scheme is to transfer the load to the adjacent light load cell aiming at the overload cell, and the network is balanced by distributing the cell edge user connection target in the scene of the embodiment of the invention.
In order to fully balance network performance, the fixed threshold is not applicable to the scene in the invention, so the dynamic threshold Th is provided in the inventiondy
Thdy=max{Thfix,Thmix}
In the formula, ThfixIs an initial fixed threshold, ThmixIs a multi-parameter joint influence threshold, where ThmixExpressed as:
Thmix=α·PRS+β·CUR+χ·PRD
α+β+χ=1
α>β>>χ
the α & gt β & gt x is because the SINR directly represents the performance index of the user, and whether the channel condition is good or not can only indirectly indicate the user performance (for example, cell edge users have good channels, the performance is inferior to the performance of a central user due to the large path loss of distance factors), so α & gt β is provided, and the delay can also affect the performance of the user, but the W L AN scheduling time is in the microsecond level, so the user demand can be met quickly, and the delay influence obtained by analysis is not as large as the first two factors, so β & gt x is provided.
At ThmixWhen the load is low, the whole load of the network is low, and Th is usedfixThe higher threshold avoids frequent handover, causing network fluctuations. At ThmixAt higher time, Th is usedmixHigher threshold, avoiding using ThfixA low threshold results in a large number of cells being overloaded without starting equalization.
On the basis of the foregoing embodiment, the step of determining, according to the preset dynamic threshold, that the cell to which the user equipment currently belongs is in an overload state, and if a switching condition meets a preset condition, switching the user equipment to an adjacent cell specifically includes: and when the cell to which the user equipment belongs currently is judged to be in an overload state according to the preset dynamic threshold value and the signal quality and the offset of the adjacent cell meet preset conditions, switching the user equipment to the adjacent cell.
Specifically, six events a1-a6 are related to handover in 3 gpppi36.842, and a L TE base station determines whether to trigger the handover according to event information reported by the UE, wherein the triggering condition of the a5 event is that the signal quality of the serving cell is inferior to a threshold and the signal quality of the neighboring cell is superior to the threshold, the triggering condition of the A3 event is that the quality of the neighboring cell is higher than that of the serving cell by a certain bias amount, and the events a5 and A3 are used for the UE of the candidate handover and for triggering the handover in the embodiment of the present invention.
The a3 event may be represented as:
RSRPn+offsetn-Hyst>RSRPs+offsets+off
wherein RSRPnAnd RSRP represents the RSRP value, offset of the neighbor cell and the serving cell, respectivelynAnd offsetsIt is indicated as the cell offset of the target cell and the serving cell, Hyst indicates the following parameter, and off is the offset of the trigger event.
The a3 event is shown in fig. 2a, where the middle cell 2 is overloaded and has four users, and the two adjacent cells on the left and right have only two users, and are in a light load state. Cell 2 has edge users that interact with cell 1. Therefore, when the trigger condition of the A3 event is satisfied, the offset is increasednOr reduce offsetsTo complete the switch if the offset is reducedsThis will result in the serving cell affecting all neighboring cells, so it can be seen from the analysis that the offset is adjusted in order to transfer the user to a specific neighboring cellnMore suitably as shown in figure 2 b.
Prior to handover, the system needs information about UEs that are peripheral to the cell and can move, so the information of edge UEs is collected with an a5 event, which can be represented as:
RSRPn+offsetn-Hyst>threshold
RSRPs+offsets<threshold
thresh is the threshold in the a5 event the a5 event is shown in fig. 3, in fig. 3a, cell 2 has edge users interacting with both neighboring cells, when cell 2 is overloaded and the neighboring cells are lightly loaded, the a5 event is triggered and uploaded, the neighboring cells become the offload candidate cells, as shown in fig. 3b, and when there are no neighboring cells in the neighboring cells that meet the handover condition, the service can be switched to the L TE path.
In summary, the method provided in the embodiments of the present invention can estimate the load status of the currently overloaded cell and the candidate target cell, and determine the handover of the UE, so as to effectively distribute the load.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a load balancing system based on L WIP framework according to an embodiment of the present invention, where the system includes a signal to interference plus noise ratio obtaining module 41, a multi-parameter joint impact threshold calculating module 42, and a load balancing module 43.
The sir obtaining module 41 is configured to obtain an sir of the user equipment at the current time, and calculate a sir qualification rate according to the sir;
the multi-parameter joint influence threshold calculation module 42 is configured to obtain a channel utilization rate and a delay parameter of a cell to which the user equipment belongs at the current time, and calculate a multi-parameter joint influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate, and the delay parameter;
the load balancing module 43 is configured to calculate and obtain a preset dynamic threshold according to the multi-parameter joint impact threshold and the initial fixed threshold, determine that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switch the user equipment to an adjacent cell if a switching condition meets a preset condition.
It should be noted that, the sir obtaining module 41, the multi-parameter joint impact threshold calculating module 42 and the load balancing module 43 cooperate to execute a load balancing method based on the L WIP architecture in the above embodiment, and specific functions of the system refer to the above embodiment of the load balancing method based on the L WIP architecture, which is not described herein again.
Fig. 5 illustrates a schematic structural diagram of an electronic device, and as shown in fig. 5, the server may include: a processor (processor)510, a communication Interface (Communications Interface)520, a memory (memory)530, and a bus 540, wherein the processor 510, the communication Interface 520, and the memory 530 communicate with each other via the bus 540. The communication interface 540 may be used for information transmission between the server and the smart tv. Processor 510 may call logic instructions in memory 530 to perform the following method: acquiring the signal-to-interference-and-noise ratio of user equipment at the current moment, and calculating to obtain the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio; acquiring the channel utilization rate and the time delay parameter of a cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter; and calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
The present embodiments also provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments, for example, including: acquiring the signal-to-interference-and-noise ratio of user equipment at the current moment, and calculating to obtain the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio; acquiring the channel utilization rate and the time delay parameter of a cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter; and calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: acquiring the signal-to-interference-and-noise ratio of user equipment at the current moment, and calculating to obtain the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio; acquiring the channel utilization rate and the time delay parameter of a cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter; and calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A load balancing method based on L WIP architecture is characterized by comprising the following steps:
acquiring the signal-to-interference-and-noise ratio of user equipment at the current moment, and calculating to obtain the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio;
acquiring the channel utilization rate and the time delay parameter of a cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter combined influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter;
and calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
2. The method of claim 1, wherein the step of obtaining the signal-to-interference-and-noise ratio of the ue at the current time is preceded by the step of:
sending AN IP probe packet to the user equipment through a W L AN path;
and receiving feedback information returned by the user equipment, and if the feedback information meets a preset condition, performing data transmission through a W L AN path.
3. The method according to claim 2, wherein the step of determining if the feedback information satisfies a predetermined condition specifically comprises:
and if the number of lost probes in the feedback information is judged and obtained to be less than the maximum loss number allowed by a preset threshold, the average detection time delay is less than the maximum time delay allowed by the threshold, and the average detection rate is greater than the minimum rate allowed by the threshold, judging that the feedback information meets the preset condition.
4. The method according to claim 1, wherein the step of obtaining the sir of the ue at the current time and calculating the qualification rate of the sir according to the sir specifically comprises:
obtaining the signal-to-interference-and-noise ratio of the cell to which the user equipment belongs at the current moment
Figure FDA0002503466500000011
By the formula:
Figure FDA0002503466500000012
calculating to obtain the qualification rate of the signal to interference and noise ratio, wherein PRS is the qualification rate of the signal to interference and noise ratio and SINRmaxIs a preset parameter.
5. The method according to claim 1, wherein the step of calculating the obtained multi-parameter combined impact threshold according to the sinr qualification rate, the channel utilization rate, and the delay parameter specifically comprises:
according to the formula:
Thmix=α·PRS+β·CUR+χ·PRD
calculating to obtain a combined influence threshold of multiple parameters, wherein ThmixFor a multi-parameter combined influence threshold, PRS is signal-to-interference-and-noise-ratio qualification rate, CUR is channel utilization rate, PRD is delay parameter, α, β and χ are preset parameters, α + β + χ is 1, α>β>>χ。
6. The method according to claim 5, wherein the step of calculating a preset dynamic threshold according to the multi-parameter joint impact threshold and the initial fixed threshold specifically comprises:
according to the formula:
Thdy=max{Thfix,Thmix}
calculating to obtain a preset dynamic threshold value, wherein ThdyTo preset dynamic threshold, ThfixTo initially fix the threshold, ThmixThe threshold is affected for a multi-parameter combination.
7. The method according to claim 1, wherein the step of determining, according to the preset dynamic threshold, that the cell to which the ue belongs is in an overload state, and if a handover condition meets a preset condition, handing over the ue to an adjacent cell specifically includes:
and when the cell to which the user equipment belongs currently is judged to be in an overload state according to the preset dynamic threshold value and the signal quality and the offset of the adjacent cell meet preset conditions, switching the user equipment to the adjacent cell.
8. An L WIP architecture based load balancing system, comprising:
the signal-to-interference-and-noise ratio acquisition module is used for acquiring the signal-to-interference-and-noise ratio of the user equipment at the current moment and calculating and acquiring the qualification rate of the signal-to-interference-and-noise ratio according to the signal-to-interference-and-noise ratio;
the multi-parameter joint influence threshold calculation module is used for acquiring the channel utilization rate and the time delay parameter of the cell to which the user equipment belongs at the current moment, and calculating to acquire a multi-parameter joint influence threshold according to the signal-to-interference-and-noise ratio qualification rate, the channel utilization rate and the time delay parameter;
and the load balancing module is used for calculating to obtain a preset dynamic threshold according to the multi-parameter combined influence threshold and the initial fixed threshold, judging that the cell to which the user equipment belongs currently is in an overload state according to the preset dynamic threshold, and switching the user equipment to an adjacent cell if a switching condition meets a preset condition.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the L WIP architecture based load balancing method of any one of claims 1 to 7.
10. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the L WIP architecture based load balancing method as recited in any one of claims 1 to 7.
CN201910554921.5A 2019-06-25 2019-06-25 Load balancing method and system based on L WIP architecture Active CN110381536B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910554921.5A CN110381536B (en) 2019-06-25 2019-06-25 Load balancing method and system based on L WIP architecture

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910554921.5A CN110381536B (en) 2019-06-25 2019-06-25 Load balancing method and system based on L WIP architecture

Publications (2)

Publication Number Publication Date
CN110381536A CN110381536A (en) 2019-10-25
CN110381536B true CN110381536B (en) 2020-08-04

Family

ID=68249279

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910554921.5A Active CN110381536B (en) 2019-06-25 2019-06-25 Load balancing method and system based on L WIP architecture

Country Status (1)

Country Link
CN (1) CN110381536B (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108924945A (en) * 2015-12-25 2018-11-30 华为技术有限公司 A kind of cut-in method and device

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8243670B2 (en) * 2009-08-19 2012-08-14 Chunghwa Telecom Co., Ltd. User grouping method for inter-cell interference coordination in mobile telecommunication
US9179363B2 (en) * 2011-08-12 2015-11-03 Telefonaktiebolaget Lm Ericsson (Publ) Systems and methods for determining a coupling characteristic in a radio communications network
CN103096382B (en) * 2013-01-25 2015-04-08 西安电子科技大学 Load balancing method among nonadjacent heterogeneous cells in ubiquitous network
CN104244276A (en) * 2014-07-25 2014-12-24 中兴通讯股份有限公司 Reconfiguration request method and reconfiguration method and device
CN104581829B (en) * 2014-12-03 2018-08-14 重庆邮电大学 Mobile load balancing method based on step analysis in a kind of LTE system
EP3282632A1 (en) * 2016-08-12 2018-02-14 ASUSTek Computer Inc. Method and apparatus for determining numerology bandwidth for measurement in a wireless communication system
CN109257773B (en) * 2017-07-14 2020-11-03 大唐移动通信设备有限公司 Load balancing method and device

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108924945A (en) * 2015-12-25 2018-11-30 华为技术有限公司 A kind of cut-in method and device

Also Published As

Publication number Publication date
CN110381536A (en) 2019-10-25

Similar Documents

Publication Publication Date Title
US11483720B2 (en) Communications device and method
Mishra et al. Load balancing optimization in LTE/LTE-A cellular networks: a review
CN105979542B (en) WiFi separate system and method based on SDN in a kind of 5G heterogeneous network
US9516548B2 (en) Communication system, base station, and communication method
CN104080118B (en) The method, apparatus and system of biasing adjustment about cell coverage expansion
US9860808B2 (en) Method for handover judgment in coordinated multiple point
US10034243B2 (en) Method and device for interworking between access technology networks
US9210638B2 (en) Apparatus and method for controlling selection of a handover destination
WO2013113202A1 (en) Information processing method and base station for network switching of ue
CN108064050B (en) Configuration method and device
CN108055677B (en) Load balancing method based on software defined wireless network
CN108541022B (en) Method and device for realizing network load balance
US11330494B2 (en) Methods, apparatuses, computer programs and computer program products for load balancing
Pocovi et al. Analysis of heterogeneous networks with dual connectivity in a realistic urban deployment
WO2015192578A1 (en) Method and apparatus for processing cell resource state information, and base station
CN110381536B (en) Load balancing method and system based on L WIP architecture
Cui et al. Load-balanced AP association in multi-hop wireless mesh networks
Jiang et al. TDOCP: A two-dimensional optimization integrating channel assignment and power control for large-scale WLANs with dense users
CN112566182B (en) Network cooperative control method, controller, control system, device and medium
Kimura et al. A Novel RAT Virtualization System with Network-Initiated RAT Selection Between LTE and WLAN
Balan et al. RSRP-based LTE-WLAN traffic steering
CN114258071A (en) Measurement reporting method and device, storage medium and terminal
Roy et al. Optimal radio access technology selection in an SDN based LTE-WiFi network
WO2023078042A1 (en) Terminal camping load balancing method and apparatus, electronic device, and storage medium
Zhang et al. C-RAN Enabled Seamless Mobility Mechanism in Autonomous Driving

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant