CN103813387A - Method and network system for balancing inter-cell load of LTE system - Google Patents

Method and network system for balancing inter-cell load of LTE system Download PDF

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CN103813387A
CN103813387A CN201310719236.6A CN201310719236A CN103813387A CN 103813387 A CN103813387 A CN 103813387A CN 201310719236 A CN201310719236 A CN 201310719236A CN 103813387 A CN103813387 A CN 103813387A
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parameter
load
enb
community
module
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CN201310719236.6A
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张振荣
王雪峰
何动
李融融
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Guangxi University
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Guangxi University
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Abstract

The invention discloses a method and a network system for balancing inter-cell load of an LTE (Long Term Evolution) system. The method comprises the steps that an eNB (evolved Node B) detects the service load of each cell under the eNB and the detection time is divided into different time-domain intervals, eNB counts the service loads of all cells in different time-domain intervals to obtain a time-domain interval in which a network service load peak appears, the results are periodically reported to an MME (Mobility Management Entity), the MME estimates the service load of each cell under the eNB at next moment according to the received time-domain interval of the network service load peak, the MME sends a parameter adjustment policy to the eNB according to the estimation, and the eNB adjusts parameters according to the parameter adjustment policy; in this way, the load condition of each cell can be estimated in advance and the parameters can be adjusted in advance, so that overload can be avoided and the service experience of a user can be enhanced.

Description

Method and the network system of load balancing between a kind of LTE system cell
Technical field
The invention belongs to wireless communication technology field, relate in particular to method and the network system of load balancing between a kind of LTE system cell.
Background technology
At present, the mobile communication technology development that shooting ahead, and be widely used in each field.And, along with development in pluralism and the more and more higher requirement of user to service experience degree of communication carrier business, craving for of the data radio communication of user to higher rate becomes more and more stronger, simultaneously to system faster response speed also have than in the past higher expectation, this has just proposed two directions that need to simultaneously carry out, two-forty and low time delays to following Mobile Communication Development.The requirement of these two developing direction has just been catered in the birth of LTE technology just, and its message transmission rate is at a high speed all other 2G with lower time delay standard, (as WCDMA) is incomparable for 3G technology.
But, LTE system has been abandoned the communication pattern that circuit domain and packet domain coexist, adopt single packet switch mode, voice service and data service adopt packet switching jointly, this has proposed a challenge with regard to the Business Processing for LTE system, under multiple business the communication pattern deposited, need to effectively improve the throughput of whole system, limited resource can be utilized to a greater degree.
System load balancing be exactly wherein most important one improve the means of system effectiveness.The generation of wireless terminal and service traffics thereof has randomness and time variation, in cellular system, between different districts, usually present unbalanced load Distribution situation, the i.e. resident a large amount of user of possibility in some community, and in other communities, there is too much resource redundancy.The appearance of this phenomenon, will reduce the efficiency of whole cellular communication system greatly, is unfavorable for the efficient utilization of radio spectrum resources.Load-balancing technique, by the load between equalizing system small area, can make the frequency spectrum resource of wireless communication system obtain utilization efficiently.In the time detecting that cell load is heavier, base station initiated load balancing process, transfers to the fractional load in community around in the middle of load compare Qing community.This process not only can reduce call blocking rate and the cutting off rate of heavy duty community, improves user QoS, can improve entire system performance simultaneously, guarantees the efficient utilization of radio spectrum resources.Especially in LTE system, based on SON technology, between community by the measurement in wireless environment around, the wireless parameters such as adaptive adjustment handoff threshold, between different districts, distribute uniformly cell load, or the partial service in community more congested duty ratio is transferred to other community.The randomness that the pattern of this self-organizing makes load balancing process more can adapt to cell business volume changes, and gives full play to the effect of load balancing process, improves system peak data rate and spectrum utilization efficiency.
In prior art, the operating process of load balancing is as shown in Figure 1:
(1) periodically monitor this cell load;
(2) if this cell load arrives high load condition, collect the loading condition of neighbor cell;
(3) select suitable neighbor cell;
(4) carry out parameter negotiation and adjust accordingly with neighbor cell;
(5) if high load condition is alleviated, return to (1) step and continue executable operations; Otherwise continue to select suitable neighbours to operate.
But load balancing scheme of the prior art, be merely able to cell-overload phenomenon occur after, by the adjustment of wireless parameter, the certain customers' terminal UE in overloaded cells is shifted, reach the object of load balancing.But the UE being transferred for those can exert an influence to its ongoing business in handoff procedure, as postponed or call drop, has reduced user's service experience.
Summary of the invention
For the problems referred to above, the object of the present invention is to provide the load-balancing method in a kind of LTE system, the generation of cell-overload phenomenon is avoided in the adjustment that can carry out in advance wireless parameter, improves user's service experience, improve the performance of network, avoid the waste to system resource.
For achieving the above object, the invention provides the load-balancing method in a kind of LTE system, it is characterized in that: eNB detects the business load amount of its lower each community, being divided into different time domain intervals detection time; ENB adds up the each Zone load capacity in different time domain interval, obtains occurring the time domain interval on network traffic load peak; And periodically result is reported to MME; MME is according to the time domain interval on the described network traffic load peak receiving, business load amount to each community lower a moment under this eNB is made estimation, MME sends to described eNB according to described estimation by parameter strategy, described eNB carries out parameter adjustment according to this parameter strategy, carries out the load balancing of each community.
Further, eNB adopts timing cycle T1 to detect the business load amount of its lower each community.
Further, if the variation of offered load amount is fast, T1 value is set less, if the variation of offered load amount is slow, T1 value is set larger.
Further, described parameter is handoff threshold.
Further, in a time domain interval after parameter adjustment, eNB monitors the network performance of described community, if parameter adjustment back loading transfer amount is less than desired value, increases each parameter value step-length in this parameter strategy; If the cutting off rate after parameter adjustment in community rises, execution parameter rollback immediately, is made as the each value before adjustment again by adjusted parameter value.
Further, be 24 hours described detection time.
The present invention also provides a kind of LTE system that realizes load balancing, and this system comprises MME and eNB, it is characterized in that, described eNB comprises: load detecting module, and it is responsible for detecting the business load amount of its lower each community; Statistical module, is divided into different time domain intervals its detection time, and the each Zone load capacity in different time domain interval is added up, and obtains occurring the time domain interval on network traffic load peak; Load reporting module, is responsible for periodically statistics being reported to MME; Parameter adjustment module, it is responsible for receiving the parameter strategy that MME issues, and carries out parameter adjustment according to this parameter strategy.
Described MME comprises: load receiver module, be responsible for receiving the described statistics that eNB reports; Module is estimated in load, and it is responsible for the business load amount at each community lower a moment under this eNB to make estimation; Parameter strategy is formulated module, is responsible for formulating parameter strategy and sending to described eNB according to described estimation.
Further, the described load detecting module of eNB adopts timing cycle T1 to detect the business load amount of its lower each community.
Further, if the variation of offered load amount is fast, T1 value is set less, if the variation of offered load amount is slow, T1 value is set larger.
Further, described parameter is handoff threshold.
Further, in a time domain interval after parameter adjustment, the network performance of each community, if parameter adjustment back loading transfer amount is less than desired value, increases each parameter value step-length in this parameter strategy described in the supervision module monitors of eNB; Further, if the cutting off rate after parameter adjustment in community rises, eNB execution parameter rollback immediately, is made as the each value before adjustment again by adjusted parameter value.
Further, be 24 hours described detection time.
Beneficial effect of the present invention is, can estimate in advance the loading condition of each community, makes in advance the adjustment of parameter, avoids the appearance of overload situations, improves user's service experience.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the method flow diagram of load balancing in prior art.
Fig. 2 is the method flow diagram of the load balancing in the embodiment of the present invention.
Fig. 3 is the system architecture schematic diagram that carries out load balancing in the embodiment of the present invention.
Fig. 4 is the eNB schematic diagram that carries out load balancing in the embodiment of the present invention
Embodiment
Clearer for what technical scheme advantage of the present invention was described, below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail, obvious described embodiment is part embodiment of the present invention, rather than whole embodiment.Embodiments of the invention can be expanded on this basis, in the situation that overall architecture is consistent, be obtained more evolution schemes.According to embodiments of the invention, those of ordinary skill in the art can realize every other embodiment of the present invention on the basis without creative work, all belongs to protection scope of the present invention.
Fig. 2 is the method flow diagram of load balancing in the embodiment of the present invention.As shown in Figure 2, this flow process comprises following steps:
101:eNB detects the business load amount of its lower each community.
102:eNB is being divided into different time domain intervals detection time; Each Zone load capacity in different time domain interval is added up, obtain occurring the time domain interval on network traffic load peak.
103:eNB periodically reports MME by statistics.
104:MME is according to the time domain interval on described network traffic load peak receiving, and the business load amount at each community lower a moment under this eNB is made to estimation.
105:MME sends to described eNB according to described estimation by parameter strategy.
106: described eNB carries out parameter adjustment according to this parameter strategy, carry out the load balancing of each community.
LTE network can adopt method initiatively to detect the load of each community, as establishes load detecting timer T1, the overtime detected cells of T1 load capacity, and T1 zero clearing, restarts timing simultaneously.The length in timer cycle can be set according to concrete networking operational environment, and fast if the load capacity of network changes, the length of timing cycle is difficult for excessive; Otherwise the load capacity of network changes slow, the length of timing cycle should be larger; The object of doing is like this to alleviate the burden of network.
For the load of each community is carried out to equilibrium, can be by adjusting the mode of handoff threshold parameter, for load Gao community, reduce the thresholding that in it, UE switches to adjacent cell, improve the thresholding that switch adjacent cell UEXiang Zhe community, and for load Di community, take contrary adjustment mode, improve the thresholding that in it, UE switches to adjacent cell, reduce the thresholding that switch adjacent cell UEXiang Zhe community.
In a time domain interval after parameter adjustment, eNB monitors the network performance of described each community, if parameter adjustment back loading transfer amount is less than our desired value, can carries out the operation that increases each parameter step length in this parameter strategy, and report MME to put on record; Wherein, step length, can set as the case may be; Also can again ask for new adjustment scheme to MME.If after parameter adjustment, cutting off rate rises in the scope that cannot accept: now can carry out immediately, parameter rollback, by adjusted parameter value from being newly made as the each value parameter adjustment; And report MME to put on record; Again ask for and adjust strategy from MME.By which, can farthest optimize described parameter strategy, the impact of avoiding parameter adjustment mistake to bring.
For described detection time, should be take one day as unit, 24 hours.
Fig. 3 is the system architecture schematic diagram that carries out load balancing in the embodiment of the present invention.As shown in Figure 3, this system comprises enode b (eNB) 20 and mobile management entity (MME) 21, wherein, eNB20 comprises load detecting module 201, statistical module 202, load reporting module 203, parameter adjustment module 204, and MME21 comprises that module 212 is estimated in load receiver module 211, load, parameter strategy is formulated module 213.
Described load detecting module 201 is responsible for detecting the business load amount of its lower each community;
Described statistical module 202 is responsible for being divided into different time domain intervals detection time, and the each Zone load capacity in different time domain interval is added up, and obtains occurring the time domain interval on network traffic load peak;
Described load reporting module 203, is responsible for periodically statistics being reported to MME;
Described parameter adjustment module 204, its parameter strategy of being responsible for receiving MME is formulated the parameter strategy that module 213 issues, and carries out parameter adjustment according to this parameter strategy.
Described load receiver module 211 is responsible for receiving the statistics sending from load reporting module 203;
Described load is estimated module and is made estimation for the business load amount at each community lower a moment under this eNB, and sends to parameter strategy to formulate module 213 estimated result;
Described parameter strategy is formulated the parameter adjustment module 204 that module 213 is formulated parameter strategy according to described estimation and sent to described eNB20.
Load detecting module 201 can adopt method initiatively to detect the load of each community, and it can comprise load detecting timer T1, the overtime detected cells of T1 load capacity, and T1 zero clearing, restarts timing simultaneously.The length in timer cycle can be set according to concrete networking operational environment, and fast if the load capacity of network changes, the length of timing cycle is difficult for excessive; Otherwise the load capacity of network changes slow, the length of timing cycle should be larger; The object of doing is like this to alleviate the burden of network.
For the load of each community is carried out to equilibrium, can be by adjusting the mode of handoff threshold parameter, be that parameter strategy is formulated the adjustment that the parameter strategy formulated of module 213 comprises Dui Ge community handoff threshold, parameter adjustment module 204 realizes load balancing by the handoff threshold of adjusting described each community, wherein for load Gao community, reduce the thresholding that in it, UE switches to adjacent cell, improve the thresholding that switch adjacent cell UEXiang Zhe community, and for load Di community, take contrary adjustment mode, improve the thresholding that in it, UE switches to adjacent cell, reduce the thresholding that switch adjacent cell UEXiang Zhe community.
As shown in Figure 4, wherein eNB20 can also comprise supervision module 205, in a time domain interval after parameter adjustment, monitors the network performance of described each community.
If parameter adjustment back loading transfer amount is less than our desired value, send corresponding report to parameter adjustment module 204, parameter adjustment module 204 can be carried out the operation that increases each parameter step length in this parameter strategy, and reports MME to put on record; Wherein, step length, can set as the case may be; Also can again ask for new adjustment scheme to MME.
If after parameter adjustment, cutting off rate rises in the scope that cannot accept, sends corresponding report equally to parameter adjustment module 204, and parameter adjustment module 204 can be carried out immediately, parameter rollback, by adjusted parameter value from being newly made as the each value parameter adjustment; And report MME to put on record; Again ask for and adjust strategy from MME.By which, can farthest optimize described parameter strategy, the impact of avoiding parameter adjustment mistake to bring.
For the detection time of described load detecting module 201, should be take one day as unit, 24 hours.
Above-described embodiment; object of the present invention, technical scheme and beneficial effect are further described; institute is understood that; the foregoing is only the specific embodiment of the present invention; the protection range being not intended to limit the present invention; within the spirit and principles in the present invention all, any modification of making, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (10)

1. a method for load balancing between LTE system cell, is characterized in that:
ENB detects the business load amount of its lower each community, being divided into different time domain intervals detection time;
ENB adds up the each Zone load capacity in different time domain interval, obtains occurring the time domain interval on network traffic load peak; And periodically result is reported to MME;
MME is according to the time domain interval on described network traffic load peak receiving, and the business load amount at each community lower a moment under this eNB is made to estimation;
MME sends to described eNB according to described estimation by parameter strategy, and described eNB carries out parameter adjustment according to this parameter strategy, carries out the load balancing of each community.
2. the method for claim 1, is characterized in that: eNB adopts timing cycle T1 to detect the business load amount of its lower each community.
3. method as claimed in claim 2, is characterized in that: if the variation of offered load amount is fast, T1 value is set less, if the variation of offered load amount is slow, T1 value is set larger.
4. the method for claim 1, is characterized in that: described parameter is handoff threshold.
5. the method as described in claim 1-4, it is characterized in that: in a time domain interval after parameter adjustment, eNB monitors the network performance of described community, if parameter adjustment back loading transfer amount is less than desired value, increases each parameter value step-length in this parameter strategy; If the cutting off rate after parameter adjustment in community rises, execution parameter rollback immediately, is made as the each value before adjustment again by adjusted parameter value.
6. the method for claim 1, is characterized in that: be 24 hours described detection time.
7. a LTE system that realizes load balancing, this system comprises MME and eNB, it is characterized in that:
Described eNB comprises:
Load detecting module, it is responsible for detecting the business load amount of its lower each community;
Statistical module, is divided into different time domain intervals its detection time, and the each Zone load capacity in different time domain interval is added up, and obtains occurring the time domain interval on network traffic load peak;
Load reporting module, is responsible for periodically statistics being reported to MME;
Parameter adjustment module, it is responsible for receiving the parameter strategy that MME issues, and carries out parameter adjustment according to this parameter strategy;
Described MME comprises: load receiver module, be responsible for receiving the described statistics that eNB reports;
Module is estimated in load, and it is responsible for the business load amount at each community lower a moment under this eNB to make estimation; Parameter strategy is formulated module, is responsible for formulating parameter strategy and sending to described eNB according to described estimation;
ENB also comprises supervision module, in a time domain interval after parameter adjustment, monitors the network performance of described community;
If parameter adjustment back loading transfer amount is less than desired value, send corresponding report to parameter adjustment module 204, parameter adjustment module is carried out the operation that increases each parameter step length in this parameter strategy;
If after parameter adjustment, cutting off rate rises in the scope that cannot accept, monitors that module sends corresponding report to parameter adjustment module, and parameter adjustment module 204 is execution parameter rollback immediately, by adjusted parameter value, from being newly made as the each value parameter adjustment, be 24 hours described detection time.
8. system as claimed in claim 7, is characterized in that: described load detecting module adopts timing cycle T1 to detect the business load amount of its lower each community.
9. system as claimed in claim 8, is characterized in that: if the variation of offered load amount is fast, T1 value is set less, if the variation of offered load amount is slow, T1 value is set larger.
10. system as claimed in claim 7, is characterized in that: described parameter is handoff threshold.
CN201310719236.6A 2013-12-24 2013-12-24 Method and network system for balancing inter-cell load of LTE system Pending CN103813387A (en)

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Cited By (4)

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Publication number Priority date Publication date Assignee Title
CN104507036A (en) * 2014-12-08 2015-04-08 西安交通大学 ACB (Access Class Barring)-based method for dynamically adjusting network load condition by sensing M2M (Machine-to-Machine) network load
CN107396376A (en) * 2016-05-16 2017-11-24 中兴通讯股份有限公司 Cell preload equalization methods and device
CN108696904A (en) * 2018-05-23 2018-10-23 南京欣网通信科技股份有限公司 A kind of LTE automatic Loads sharing method and system, the information processing terminal
CN114401531A (en) * 2021-12-21 2022-04-26 京信网络系统股份有限公司 Load balancing method, device, system and storage medium

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104507036A (en) * 2014-12-08 2015-04-08 西安交通大学 ACB (Access Class Barring)-based method for dynamically adjusting network load condition by sensing M2M (Machine-to-Machine) network load
CN104507036B (en) * 2014-12-08 2017-10-20 西安交通大学 A kind of method that M2M network loads based on ACB perceive dynamic adjustment Network load status
CN107396376A (en) * 2016-05-16 2017-11-24 中兴通讯股份有限公司 Cell preload equalization methods and device
CN108696904A (en) * 2018-05-23 2018-10-23 南京欣网通信科技股份有限公司 A kind of LTE automatic Loads sharing method and system, the information processing terminal
CN114401531A (en) * 2021-12-21 2022-04-26 京信网络系统股份有限公司 Load balancing method, device, system and storage medium

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