CN101895934B - Method and device for optimizing system capacity dynamically - Google Patents
Method and device for optimizing system capacity dynamically Download PDFInfo
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- CN101895934B CN101895934B CN 200910084797 CN200910084797A CN101895934B CN 101895934 B CN101895934 B CN 101895934B CN 200910084797 CN200910084797 CN 200910084797 CN 200910084797 A CN200910084797 A CN 200910084797A CN 101895934 B CN101895934 B CN 101895934B
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Abstract
The invention relates to a method and a device for optimizing system capacity dynamically. The method comprises the following steps of: acquiring cell traffic; and adjusting system capacity parameters according to the acquired cell traffic. The device comprises an acquisition unit for acquiring the cell traffic and an adjustment unit for adjusting the system capacity parameters according to the traffic acquired by the acquisition unit. By adopting the method and the device of the invention, the cell traffic is acquired by the statistics of various parameters, and the system capacity parameters are adjusted dynamically according to the cell traffic to perform tradeoff on user capacity and service quality so as to optimize the system capacity; and thus, the requirements of different scenes on the peak period and low-ebb period of a cell or hotspot or non-hotspot cells are met, resources are fully utilized and errors caused by configuration threshold are reduced.
Description
Technical field
The present invention relates to wireless communication technology field, relate in particular to a kind of method and apparatus of optimizing system capacity dynamically.
Background technology
Development along with mobile communication technology, in Next-Generation Wireless Communication Systems, especially E-UTRA (Evolved-UMTS Terrestrial Radio Access, the universal mobile telecommunications system terrestrial wireless access of evolution) in the system, reduce the artificial participation of the network planning and Operation and Maintenance by introducing self-organization of network mechanism, reduce construction and the operation cost of network.And SON (Self-Organization Network, the self-organizing networking) of paramount importance characteristic is the optimization of power system capacity in the technology, and the parameter that affects power system capacity that it is mainly concerned with comprises admits thresholding, load congestion threshold and QoS (service quality) etc.; Based on aforementioned several parameters, the mode that has proposed several optimization system capacity in the prior art is as follows:
(1) adopts acceptance controlling method optimization system capacity
Mode commonly used is to preset (perhaps for different a plurality of of a type of service) suitable resource utilization thresholding, also claim to admit thresholding, admit successfully, otherwise exclude when [the total available resources number of (access bearer resource occupation amount+request is admitted the predicted value of bearing resource demand)/system＜admittance thresholding] time; This mode can be described by following acceptance judging formula:
R
old+ΔR＜R
total×η％ (1)
R wherein
OldBe all access bearer least resource that need to take; The resource that Δ R represents to ask the carrying of admitting to increase newly; R
TotalExpression local resource total amount, η % is that acceptance controlling method is admitted thresholding;
And for R
OldCalculating, according to belonging to GBR (Guaranteed Bit Rate, guarantee bit rate) or the professional difference of NGBR (non-Guaranteed Bit Rate, non-assurance bit rate) also can be different: professional for GBR, directly add up its transfer resource occupancy; Professional for NGBR, add up its average transmission bit rate and transfer resource occupancy, calculate spectrum efficiency (being the resource occupation amount of unit of transfer's bit rate), calculate again the minimum resources demand of each NGBR business according to each professional required lowest bit rate and each service bearer number of NGBR; In the residential quarter the access bearer stock number that need to take be GBR service resources occupancy and the professional minimum resource requirements amount of NGBR sum.For the calculating of Δ R, also different according to belonging to the difference of GBR or NGBR business: professional for GBR, the ratio of the resource occupation total amount of this type of service and this type of service carrying number is for asking the predicted value of admittance bearing resource demand the residential quarter in; Professional for NGBR, the spectrum efficiency that statistics obtains admits the product of the lowest bit rate of carrying to admit the predicted value of bearing resource demand for request with request.And acceptance algorithm admits thresholding η % to obtain according to test after emulation and the networking, also can be obtained by fitting formula.
Based on above content, acceptance controlling method process of the prior art is as follows:
Step 1: be the suitable admittance threshold value of cell configuration in advance;
Step 2: at RAN (Radio Access Network, Radio Access Network) side is carried out real-time resource statistics, different according to GBR and NGBR business, the resource occupation amount of statistics GBR business and carrying number, the resource occupation amount of statistics NGBR business and average transmitted bit speed;
Step 3: when the request of generation is admitted, according to the statistical value in the step 2, calculate respectively the resource occupation amount that accessed the GBR service bearer in the residential quarter and the minimum resources demand of NGBR service bearer, and then obtain in the residential quarter stock number that access bearer need to take; Request is admitted when being carried as the GBR business, and the predicted value of resource requirement is the resource occupation total amount of this type of service in the residential quarter and the ratio of this type of service carrying number; Request is admitted when being carried as the NGBR business, and the predicted value of resource requirement is the product that the lowest bit rate of carrying is admitted in spectrum efficiency and request;
Step 4: adjudicate according to the acceptance judging formula; If adjudicate unsuccessfully, exclude request, admit operation otherwise carry out.
(2) adopt load congestion control optimization system capacity
This mode mainly is by periodically load condition and the congestion condition of monitoring system, and makes a policy, and so that the appropriate rationally congested scheme that deals with to be provided, makes as far as possible system continue to keep normal load condition.From the specific implementation process, be divided into load calculating/measurement, congestion detection, congested processing procedure, congested recovery detection and the several processes of congested Recovery processing:
A, load calculate/measure; Different according to the standard of jamming judgment, the object of load measurement can be abstract stressor, reception/transmitted power, resource occupation ratio etc., also user's Mean Speed;
B, congested/as to recover to detect; Result by the calculating/measurement of will loading compares in Preset Time with the load congestion threshold value of being scheduled to, congested/congested recovery the condition of judging whether system satisfies is also judged congested/congested recovery extent or grade according to testing result, if detect congested/congested recovery, then trigger accordingly congested/congested Recovery processing;
C, congested/Recovery processing; Congested processing is after receiving the triggering that congested/congested recovery detects, to select suitable processing scheme, make system as early as possible, seamlessly as far as possible get back to stable normal duty state, thereby effectively utilize system resource.
In addition, can also come the optimization system capacity by QoS is set: wherein, the QoS attribute can be divided into GBR and NGBR two large classes, can use Standardized QCI (QoS Class Identifier, the service quality class indication) characteristic is described, and relevant with scheduling; Simultaneously, professional for NGBR, QoS has defined PBR (Prioritized Bit Rate, priority bit speed, uplink) and minBR (Minimum Bit Rate, minimum bit rate, downlink transfer) come the QoS of descriptive system, and then the capacity of the system of embodiment.
But, the upper limit of the accessible carrying of the direct restricted cell of acceptance controlling method of adopting in the wireless communication system at present, but can not dynamically adjust the admittance upper limit according to the service load quantity of dynamic change or the long-term business load of different districts, fully not reach the optimization of power system capacity; Simultaneously, the load congestion control has also determined the accessible carrying in the residential quarter upper limit, but strict load congestion threshold value can cause the waste of resource, and it does not have the method for dynamic adjusted threshold value yet; In addition, affect QoS and the unscientific fixed value that can not change of power system capacity, it can be in reasonably scope or magnitude fluctuation for different scenes, but in existing wireless communication system, QoS does not often adjust mechanism flexibly usually by standard code or operator's configuration owing to adopting fixed value.
Summary of the invention
In view of this, the invention provides a kind of method and apparatus of optimizing system capacity dynamically, traffic carrying capacity according to the residential quarter is optimized power system capacity, satisfy different periods and the not requirement of equal different scenes of Zone load of different districts, residential quarter, and realized taking full advantage of resource.
For addressing the above problem, technical scheme provided by the invention is as follows:
A kind of method of optimizing system capacity dynamically comprises:
Obtain cell business volume;
According to the described cell business volume Adjustment System capacity parameter that gets access to.
Preferably, by statistics local resource occupancy or the residential quarter has been accessed the radio bearer number or the cell call arrival rate is obtained cell business volume.
Preferably, when cell business volume is higher than the first default thresholding, trigger the first regularization condition, improve system capacity parameters; When cell business volume is lower than the second thresholding, trigger the second regularization condition, reduce system capacity parameters.
Preferably, the described cell business volume of obtaining realizes by following steps:
Carry out and admit the request judgement, carry out according to court verdict and admit operation, statistics is admitted success rate, according to admitting success rate to determine the traffic carrying capacity of described residential quarter.
Preferably, when described admittance success rate is lower than the first admittance success rate thresholding, trigger the first regularization condition, improve system capacity parameters; When described admittance success rate is higher than the second admittance success rate thresholding, trigger the second regularization condition, reduce system capacity parameters; Wherein, described first admit the success rate thresholding to admit the success rate thresholding less than described second;
Described system capacity parameters comprises at least admits a kind of in thresholding, load congestion threshold, packet permissible delay and the packet loss.
Preferably, when described system capacity parameters is the admittance thresholding, also comprise after the described raising system capacity parameters:
Whether detected cells qos measurement amount reaches critical thresholding; If so, the admittance threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to improve the admittance thresholding.
Preferably, when described system capacity parameters is the admittance thresholding, also comprise after the described reduction system capacity parameters:
Detect and admit thresholding whether to be higher than minimum admittance thresholding, if so, then continue to reduce and admit thresholding; Otherwise, do not adjust.
Preferably, when described system capacity parameters is the load congestion threshold, also comprise after the described raising system capacity parameters:
Whether detected cells qos measurement amount reaches critical thresholding; If so, the load congestion threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to improve the load congestion threshold.
Preferably, when described system capacity parameters is the load congestion threshold, also comprise after the described reduction system capacity parameters:
Whether the detection load congestion threshold is lower than minimum congestion control thresholding, and if so, the load congestion threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to reduce the load congestion threshold.
Preferably, when described admittance success rate is lower than the first admittance success rate thresholding, trigger the second regularization condition, reduce system capacity parameters; When described admittance success rate is higher than the second admittance success rate thresholding, trigger the first regularization condition, improve system capacity parameters; Wherein, described first admit the success rate thresholding to admit the success rate thresholding less than described second;
Described system capacity parameters comprises priority bit speed and minimum bit rate at least.
Preferably, when described system capacity parameters is priority bit speed and minimum bit rate, also comprise after the described reduction system capacity parameters:
Whether detected cells qos measurement amount reaches critical thresholding; If so, priority bit speed and minimum bit rate after then keeping adjusting are constant, finish to adjust; Otherwise, continue to reduce priority bit speed and minimum bit rate.
Preferably, when described system capacity parameters is priority bit speed and minimum bit rate, also comprise after the described raising system capacity parameters:
Detect priority bit speed and minimum bit rate and whether be higher than respectively lowest priority bit rate and minimum bit rate minimum, if so, priority bit speed and minimum bit rate after then keeping adjusting are constant, finish to adjust; Otherwise, continue to improve priority bit speed and minimum bit rate.
Preferably, described adjusting operation carries out in default residential quarter qos measurement weight range, when the described system capacity parameters of adjustment causes the qos measurement amount to surpass default thresholding, finishes to adjust.
A kind of device of optimizing system capacity dynamically, this device comprises: obtain the acquiring unit of cell business volume and the adjustment unit of the traffic carrying capacity Adjustment System capacity parameter that gets access to according to described acquiring unit.
Preferably, described adjustment unit comprises: comparison module and trigger module; Wherein,
Described comparison module is used for cell business volume that more described acquiring unit respectively gets access to and default the first thresholding and the size of the second thresholding; And when described cell business volume was higher than the first default thresholding, the notification triggers module triggered the first regularization condition; When described cell business volume was lower than the second thresholding, the notification triggers module triggered the second regularization condition;
Described trigger module is used for receiving the notice of described comparison module, when triggering the first regularization condition, improves system capacity parameters, when triggering the second regularization condition, reduces system capacity parameters.
Preferably, described acquiring unit comprises: Executive Module, statistical module and determination module; Wherein,
Described Executive Module is used for carrying out admits the request judgement, carries out according to court verdict and admits operation;
Described statistical module is used for adding up described Executive Module and carries out the admittance success rate of admitting operation;
Described determination module is used for determining according to the admittance success rate of described statistical module counts the traffic carrying capacity of described residential quarter.
Preferably, described adjustment unit comprises: judge module and trigger module; Wherein,
Described judge module is used for judging that described admittance success rate admits success rate thresholding and the second size of admitting the success rate thresholding with default first respectively, and notifies described trigger module with judged result;
Described trigger module is used for receiving the notice of described judge module, triggers regularization condition, improves or reduce system capacity parameters.
Preferably, the system capacity parameters of described trigger module adjustment comprises at least and admits a kind of in thresholding, load congestion threshold, packet permissible delay and packet loss, priority bit speed and the minimum bit rate.
Preferably, this device also comprises: first detection module and the second detection module; Wherein,
Whether described first detection module reaches critical thresholding for detection of residential quarter qos measurement amount; If so, the system capacity parameters after then keeping adjusting is constant, finishes to adjust; Otherwise, continue the Adjustment System capacity parameter;
Whether described the second detection module is higher than the minimum of described system capacity parameters for detection of the current system capacity parameter, if so, the system capacity parameters after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to adjust described system capacity parameters.
Can find out, adopt method and apparatus of the present invention, by adding up the traffic carrying capacity of various parameter acquiring residential quarter, and according to the traffic carrying capacity dynamic debugging system capacity parameter of described residential quarter, user capacity and service quality are traded off, realizing the optimization of power system capacity, satisfied the different scene requirements of peak period, residential quarter and low ebb phase or focus and non-Hot Spot, realized the taking full advantage of of resource, and reduced the error that configured threshold is brought.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the method flow schematic diagram of the embodiment of the invention 1;
Fig. 2 is the method flow schematic diagram of the embodiment of the invention 2;
Fig. 3 is the method flow schematic diagram of the embodiment of the invention 3;
Fig. 4 is the method flow schematic diagram of the embodiment of the invention 4;
Fig. 5 is the method flow schematic diagram of the embodiment of the invention 5;
Fig. 6 is the apparatus structure schematic diagram of the embodiment of the invention 6.
Embodiment
Basic thought of the present invention is according under the different scenes, wireless communication system need to be guaranteed the difference of target, by adding up the traffic carrying capacity of determining the residential quarter, and according to the traffic carrying capacity dynamic debugging system capacity parameter of described residential quarter, to realize the optimization of power system capacity, satisfied the different scene requirements of peak period, residential quarter and low ebb phase or focus and non-Hot Spot, realized the taking full advantage of of resource, and reduced the error that configured threshold is brought.
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described; Obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
The embodiment of the invention 1 provides a kind of method of optimizing system capacity dynamically, and as shown in Figure 1, the method comprises:
In step 101, obtain cell business volume;
Concrete, obtaining cell business volume in the present embodiment can have various ways to realize, include but not limited to: the admittance success rate of summarizing cell service or local resource occupancy or residential quarter have been accessed radio bearer number or cell call arrival rate etc. and have been obtained cell business volume, wherein the concrete statistical method of every kind of mode can adopt prior art to realize, does not repeat them here; It should be noted that, obtaining cell business volume in the embodiment of the invention is in order to determine the residing state of current area and scene, and the parameter in above-mentioned several mode can be in various degree the residing state of reflection cell business volume and scene, so can realize that by the statistics of adding up above-mentioned several parameters the qualitative of residential quarter status and scene determine in the embodiment of the invention; For example admit the request judgement according to existing based on the acceptance controlling method of resource utilization, and carry out the admittance operation according to court verdict, then statistics is admitted success rate, according to admitting success rate can obtain the traffic carrying capacity of described residential quarter;
In addition, obtaining of embodiment of the invention small area traffic carrying capacity can comprise multiple strategy: as determining the cell business volume of a plurality of residential quarters according to long-time statistical, and different adjustment modes is taked in the residential quarter of different business amount; Determine traffic carrying capacity peak value and the low valley of current area according to the short-term statistics, and take different adjustment modes for different business amount state; Wherein, long-time statistical can be take tens of day as unit, and hour be unit, preferred mode that the short-term statistics can be worked as in a few days are that long-time statistical is the cell business volume in the statistics 1 month, and the short-term statistics is for measuring in real time cell business volume.
In step 102, according to the described cell business volume Adjustment System capacity parameter that gets access to;
Concrete, when described cell business volume triggers the first default regularization condition, improve system capacity parameters; When described cell business volume triggers default the second regularization condition, reduce system capacity parameters.
In the specific implementation, the cell business volume that the embodiment of the invention is obtained can show the residing different scenes in residential quarter: for example when cell business volume is higher than the first thresholding, show that the residential quarter is in peak traffic phase or hot zones, can trigger the first regularization condition this moment; When cell business volume is lower than the second thresholding, show that the residential quarter is in professional low ebb phase or non-hot zones, can trigger the second regularization condition this moment; Accordingly, when cell business volume judgement triggered adjusting operation, the corresponding system capacity parameters of adjusting included but not limited at least a in the packet permissible delay admitting thresholding, load congestion threshold and characterize QoS and the packet loss in the present embodiment;
It should be noted that, in order to satisfy the requirement of existing system, realize the seamless link with existing system, the present embodiment proposes described adjusting operation can carry out in the residential quarter QoS measuring amount scope that limits, when the described system capacity parameters of adjustment causes the QoS measuring amount to surpass thresholding, finish to adjust or do not adjust; Wherein, described residential quarter QoS measuring amount includes but not limited to residential quarter packet loss and residential quarter cutting off rate; The residential quarter packet loss is the packet loss of all kinds of type of service carryings in the residential quarter, can be RLC (Radio Link Control, Radio Link control) layer SDU (Service Data Unit, Service Data Unit) or MAC (Media AccessControl, the media access control) packet loss of layer PDU (Packet Data Unit, Packet Data Unit); And residential quarter cutting off rate and the ratio of all kinds of service bearer generation call drops in the residential quarter.
In addition, based on the above-mentioned multiple implementation of obtaining cell business volume, the default regularization condition of described triggering also has various ways: for example, when admitting success rate to obtain cell business volume by statistics, when described admittance success rate is lower than the first admittance success rate thresholding, show that the traffic carrying capacity of current area is very large, the residential quarter is in peak traffic phase or hot zones, trigger the first regularization condition this moment, improves described system capacity parameters; When described admittance success rate is higher than the second admittance success rate thresholding, show that the traffic carrying capacity of current area is very little, the residential quarter is in professional low ebb phase or non-hot zones, and trigger the second regularization condition this moment, reduces described system capacity parameters; Wherein, described first admit the success rate thresholding to admit the success rate thresholding less than described second; Accordingly, during described triggering adjusting operation, the corresponding system capacity parameters of adjusting include but not limited to admit thresholding, load congestion threshold and characterize the packet permissible delay of QoS and packet loss at least a.
The below adopts with the obtain manner of cell business volume and admits success rate to be embodied as example, and the method for optimizing system capacity dynamically is elaborated:
Embodiment 2 as shown in Figure 2, take based on the acceptance method of resource utilization as example, the obtain manner of cell business volume adopts the success rate mode of admitting: admit success rate to obtain cell business volume by statistics, and when the residential quarter is in the peak traffic phase (or hot zones), heighten the admittance thresholding, until residential quarter QoS measuring amount m
QosSurpass residential quarter QoS thresholding th
Qos_highWhen the residential quarter is in the professional low ebb phase (or non-hot zones), reduces and admit thresholding, until residential quarter QoS measuring amount m
QosBe lower than residential quarter QoS thresholding th
Qos_lowConcrete,
In step S201, admit the request judgement according to existing based on the acceptance controlling method of resource utilization, and carry out the admittance operation according to court verdict, then statistics is admitted success rate;
In step S202, detect and admit success rate μ
Rac_successWhether % is lower than first is admitted success rate thresholding th
Rac_success_low% if so, then triggers the first regularization condition; In step S203, will admit threshold value to improve Δ η
Up%; Wherein, Δ η
Up% is the increment that predefined admittance thresholding improves, and can be provided by emulation or networking test; Otherwise, do not adjust;
In step S204, detect described admittance success rate μ
Rac_successWhether % is higher than second is admitted successful thresholding th
Rac_success_high% if so, then triggers the second regularization condition; In step S205, will admit thresholding to reduce Δ η
Down%; Δ η wherein
Down% is similar to Δ η
Up% is predefined admittance thresholding reduction amount, can be provided by emulation or networking test; Otherwise, do not adjust;
In addition, the present embodiment also comprises step S206 after above-mentioned steps S203, detected cells QoS measuring amount m
QosWhether reach critical thresholding th
Qos_lowIf reached this critical thresholding, the admittance threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue execution in step S203;
The present embodiment also comprises step S207 after above-mentioned steps S205, detect and admit thresholding whether to be higher than minimum admittance thresholding η
Min% if so, then continues execution in step S205; Otherwise, finish to adjust.
Pass through above-mentioned steps, according to admitting success rate to admitting thresholding to adjust, Indirect method QoS, or reduce the requirement of QoS with access user more, or the access of restriction more users is with guaranteed qos, thereby adapted to the different scenes that the residential quarter is in peak period (hot zone) or low ebb phase (non-hot zone), optimized power system capacity.
Embodiment 3 as shown in Figure 3, take based on the acceptance method of resource utilization as example, the obtain manner of cell business volume adopts the success rate mode of admitting: admit success rate to obtain cell business volume by statistics, when the residential quarter is in the peak traffic phase (or hot zones), heighten the load congestion threshold, until residential quarter QoS measuring amount m
QosSurpass residential quarter QoS thresholding th
Qos_highWhen the residential quarter is in the professional low ebb phase (or non-hot zones), reduce the load congestion threshold, until residential quarter QoS measuring amount m
QosBe lower than residential quarter QoS thresholding th
Qos_lowConcrete,
In step S301, admit the request judgement according to existing based on the acceptance controlling method of resource utilization, and carry out the admittance operation according to court verdict, then statistics is admitted success rate;
In step S302, detect described admittance success rate μ
Rac_successWhether % is lower than is admitted success rate thresholding th
Rac_success_low% if so, then triggers the first regularization condition; In step S303, the congestion control thresholding of will loading improves Δ ρ
Up, Δ ρ wherein
UpIncrement for predefined load congestion control thresholding improves can be provided by emulation or networking test; Otherwise, do not adjust;
In step S304, detect described admittance success rate μ
Rac_successWhether % is higher than second is admitted successful thresholding th
Rac_success_high% if so, then triggers the second regularization condition; In step S305, the congestion control thresholding of will loading reduces Δ ρ
Down, Δ ρ wherein
DownBe predefined load congestion control thresholding reduction amount, can be provided by emulation or networking test; Otherwise, do not adjust;
In addition, the present embodiment also comprises step S306 after above-mentioned steps S303, detected cells QoS measuring amount m
QosWhether reach critical thresholding th
Qos_lowIf, reached this thresholding, keep adjusting afterload congestion control threshold value ρ constant, finish to adjust; If residential quarter QoS measuring amount m
QosDo not reach th
Qos_low, then continue execution in step S303;
The present embodiment also comprises step S307 after above-mentioned steps S305, whether detection load congestion control threshold value ρ is lower than minimum congestion control thresholding ρ
MinIf load congestion control thresholding ρ is lower than minimum congestion control thresholding ρ
Min, the parameter constant after then keeping adjusting finishes to adjust; If load congestion control thresholding ρ is higher than minimum threshold, then continue execution in step S305;
Above-mentioned steps by the present embodiment, according to admitting success rate the load congestion threshold is adjusted, adapted to the difference that the residential quarter is in peak period (hot zone) or low ebb phase (non-hot zone), thereby make the peak traffic phase (hot zone) hold more users or traffic carrying capacity, make the professional low ebb phase (non-hot zone) stricter to the control of load, and then optimized dynamically power system capacity.
In addition, the residential quarter QoS measuring amount m described in above-described embodiment 2 and the embodiment 3
QosCritical threshold value th
Qos_lowAlso can adjust according to the cell business volume size, adjusting range and step-length can be obtained by emulation or networking test, do not repeat them here.
As everyone knows, when being in traffic carrying capacity peak period or hot zones in the residential quarter, the primary goal that communication system guarantees realizes communication as far as possible for guaranteeing the user, therefore can sacrifice the lifting that certain QoS exchanges power system capacity for; Simultaneously, when being in the sparse area of traffic carrying capacity low ebb phase or user (non-hot zones) in the residential quarter, therefore the primary goal of communication system can suitably reduce power system capacity with guaranteed qos for guaranteeing user's communication quality.For this, the embodiment of the invention 4 as shown in Figure 4 proposes to admit success rate to obtain cell business volume by statistics, and suitably user's QoS is adjusted according to described cell business volume, the particular content of wherein adjusting includes but not limited to maximum packet delay D and packet loss θ %: when the residential quarter is in the peak traffic phase (or hot zones), heighten maximum data packet time delay D and packet loss θ %, until residential quarter QoS measuring amount m
QosSurpass residential quarter QoS thresholding th
Qos_highWhen the residential quarter is in the professional low ebb phase (or non-hot zones), reduce maximum packet delay D and packet loss θ %, until residential quarter QoS measuring amount m
QosBe lower than residential quarter QoS thresholding th
Qos_lowConcrete, take based on the acceptance method of resource utilization as example, the obtain manner of cell business volume adopts the success rate mode of admitting:
In step S401, admit the request judgement according to existing based on the acceptance controlling method of resource utilization, and carry out the admittance operation according to court verdict, then statistics is admitted success rate;
In step S402, detect described admittance success rate μ
Rac_successWhether % is lower than is admitted success rate thresholding th
Rac_success_low% if so, then triggers the first regularization condition; In step S403, packet permissible delay D and packet loss θ % are improved respectively D
Up% and θ
Up%, wherein D
Up% and θ
Up% is the increment of predefined packet permissible delay and packet loss, can be provided by emulation or networking test; Otherwise, do not adjust;
In step S404, detect described admittance success rate μ
Rac_successWhether % is higher than second is admitted successful thresholding th
Rac_success_high% if so, then triggers the second regularization condition; In step S405, packet permissible delay D and packet loss θ % are reduced respectively D
Down% and θ
Down%, wherein D
Down% and θ
Down% is the reduction amount of predefined packet permissible delay and packet loss, can be provided by emulation or networking test; Otherwise, do not adjust.
In addition, for the NGBR business, can adjust PBR and minBR according to the traffic carrying capacity size, adjusting range and step-length can be obtained by emulation or networking test; By adjusting PBR and minBR, can affect to the resource of access bearer distribute and acceptance algorithm in accessed the calculating of NGBR minimum resources demand, and then affect the residential quarter and can be accessed by and carry quantity, thereby affect the capacity of system; Concrete, embodiment 5 as shown in Figure 5, take based on the acceptance method of resource utilization as example, the obtain manner of cell business volume adopts the success rate mode of admitting, when described admittance success rate is lower than the first admittance success rate thresholding, trigger the second regularization condition, reduce system capacity parameters; When described admittance success rate is higher than the second admittance success rate thresholding, trigger the first regularization condition, improve system capacity parameters; Equally, described first admit the success rate thresholding to admit the success rate thresholding less than described second; The system capacity parameters of described adjustment this moment comprises priority bit speed and minimum bit rate at least:
In step S501, admit the request judgement according to existing based on the acceptance controlling method of resource utilization, and carry out the admittance operation according to court verdict, then statistics is admitted success rate;
In step S502, detect and admit success rate μ
Rac_successWhether % is lower than first is admitted success rate thresholding th
Rac_success_low% if so, then triggers the second regularization condition; In step S503, PBR/minBR is reduced Δ P
DownWherein, Δ P
DownBe predefined reduction amount, can be provided by emulation or networking test; Otherwise, do not adjust;
In step S504, detect described admittance success rate μ
Rac_successWhether % is higher than second is admitted successful thresholding th
Rac_success_high% if so, then triggers the first regularization condition; In step S505, PBR/minBR is improved Δ P
UpΔ P wherein
UpBe similar to Δ P
Down, being predefined reduction amount, can be provided by emulation or networking test; Otherwise, do not adjust;
In addition, the present embodiment also comprises step S506 after above-mentioned steps S503, detected cells QoS measuring amount m
QosWhether reach critical thresholding th
Qos_lowIf reached this critical thresholding, the PBR/minBR after then keeping adjusting is constant, finishes to adjust; Otherwise, continue execution in step S503;
The present embodiment also comprises step S507 after above-mentioned steps S505, detect PBR/minBR and whether be higher than minimum PBR
Min/ minBR
Min, if so, the PBR/minBR after then keeping adjusting is constant, finishes to adjust; Otherwise, continue execution in step S505.
Can find out, adopt the method for the embodiment of the invention, by adding up the traffic carrying capacity of determining the residential quarter, and according to the traffic carrying capacity dynamic debugging system capacity parameter of described residential quarter, user capacity and service quality are traded off, realizing the optimization of power system capacity, satisfied the different scene requirements of peak period, residential quarter and low ebb phase or focus and non-Hot Spot, realized the taking full advantage of of resource, and reduced the error that configured threshold is brought.
Based on above-mentioned thought, the embodiment of the invention 6 has proposed again a kind of device of optimizing system capacity dynamically, as shown in Figure 6, this device 600 comprises: obtain the acquiring unit 601 of cell business volume and the adjustment unit 602 of the traffic carrying capacity Adjustment System capacity parameter that gets access to according to described acquiring unit 601.
Wherein, described adjustment unit comprises: comparison module and trigger module; Described comparison module is used for cell business volume that more described acquiring unit respectively gets access to and default the first thresholding and the size of the second thresholding; And when described cell business volume was higher than the first default thresholding, the notification triggers module triggered the first regularization condition; When described cell business volume was lower than the second thresholding, the notification triggers module triggered the second regularization condition; Described trigger module is used for receiving the notice of described comparison module, when triggering the first regularization condition, improves system capacity parameters, when triggering the second regularization condition, reduces system capacity parameters.
In addition, described acquiring unit comprises: Executive Module, statistical module and determination module; Wherein, described Executive Module is used for carrying out admits the request judgement, carries out according to court verdict and admits operation; Described statistical module is used for adding up described Executive Module and carries out the admittance success rate of admitting operation; Described determination module is used for determining according to the admittance success rate of described statistical module counts the traffic carrying capacity of described residential quarter.
Preferably, described adjustment unit also can comprise: judge module and trigger module; Wherein, described judge module is used for judging that described admittance success rate admits success rate thresholding and the second size of admitting the success rate thresholding with default first respectively, and notifies described trigger module with judged result; Described trigger module is used for receiving the notice of described judge module, triggers regularization condition, improves or reduce system capacity parameters.
The system capacity parameters that it should be noted that described trigger module adjustment comprises at least admits a kind of in thresholding, load congestion threshold, packet permissible delay and packet loss, priority bit speed and the minimum bit rate.
In addition, this device also can comprise: first detection module and the second detection module; Wherein, whether described first detection module reaches critical thresholding for detection of residential quarter qos measurement amount; If so, the system capacity parameters after then keeping adjusting is constant, finishes to adjust; Otherwise, continue the Adjustment System capacity parameter; Whether described the second detection module is higher than the minimum of described system capacity parameters for detection of the current system capacity parameter, if so, the system capacity parameters after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to adjust described system capacity parameters.
It will be understood by those skilled in the art that and to represent information, message and signal with many different techniques and in the technology any one.For example, the message of mentioning in the above-mentioned explanation, information can be expressed as voltage, electric current, electromagnetic wave, magnetic field or magnetic particle, light field or above combination in any.
The professional can also further should be able to recognize, unit and the algorithm steps of each example of describing in conjunction with embodiment disclosed herein, can realize with electronic hardware, computer software or the combination of the two, for the interchangeability of hardware and software clearly is described, composition and the step of each example described in general manner according to function in the above description.These functions are carried out with hardware or software mode actually, depend on application-specific and the design constraint of technical scheme.The professional and technical personnel can specifically should be used for realizing described function with distinct methods to each, but this realization should not thought and exceeds scope of the present invention.
The method of describing in conjunction with embodiment disclosed herein or the step of algorithm can directly use the software module of hardware, processor execution, and perhaps the combination of the two is implemented.Software module can place the storage medium of any other form known in random asccess memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or the technical field.
To the above-mentioned explanation of the disclosed embodiments, make this area professional and technical personnel can realize or use the present invention.Multiple modification to these embodiment will be apparent concerning those skilled in the art, and General Principle as defined herein can be in the situation that do not break away from the spirit or scope of the present invention, in other embodiments realization.Therefore, the present invention will can not be restricted to these embodiment shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
The above only is preferred embodiment of the present invention, and is in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of doing, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the method for an optimizing system capacity dynamically is characterized in that, comprising:
Obtain cell business volume;
According to the described cell business volume Adjustment System capacity parameter that gets access to;
Wherein, the described cell business volume of obtaining realizes by following steps:
Carry out and admit the request judgement, carry out according to court verdict and admit operation, statistics is admitted success rate, according to admitting success rate to determine the traffic carrying capacity of described residential quarter;
When described system capacity parameters comprises when admitting a kind of in thresholding, load congestion threshold, packet permissible delay and the packet loss at least, then the mode of Adjustment System capacity parameter is: when described admittance success rate is lower than the first admittance success rate thresholding, trigger the first regularization condition, improve system capacity parameters; When described admittance success rate is higher than the second admittance success rate thresholding, trigger the second regularization condition, reduce system capacity parameters;
When described system capacity parameters comprises priority bit speed and minimum bit rate at least, then the mode of Adjustment System capacity parameter is: when described admittance success rate is lower than the first admittance success rate thresholding, trigger the second regularization condition, reduce system capacity parameters; When described admittance success rate is higher than the second admittance success rate thresholding, trigger the first regularization condition, improve system capacity parameters;
Wherein, described first admit the success rate thresholding to admit the success rate thresholding less than described second.
2. method according to claim 1 is characterized in that, when described system capacity parameters is when admitting thresholding, also to comprise after the described raising system capacity parameters:
Whether detected cells qos measurement amount reaches critical thresholding; If so, the admittance threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to improve the admittance thresholding.
3. method according to claim 1 is characterized in that, when described system capacity parameters is when admitting thresholding, also to comprise after the described reduction system capacity parameters:
Detect and admit thresholding whether to be higher than minimum admittance thresholding, if so, then continue to reduce and admit thresholding; Otherwise, do not adjust.
4. method according to claim 1 is characterized in that, when described system capacity parameters is the load congestion threshold, also comprises after the described raising system capacity parameters:
Whether detected cells qos measurement amount reaches critical thresholding; If so, the load congestion threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to improve the load congestion threshold.
5. method according to claim 1 is characterized in that, when described system capacity parameters is the load congestion threshold, also comprises after the described reduction system capacity parameters:
Whether the detection load congestion threshold is lower than minimum congestion control thresholding, and if so, the load congestion threshold value after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to reduce the load congestion threshold.
6. method according to claim 1 is characterized in that, when described system capacity parameters is priority bit speed and minimum bit rate, also comprises after the described reduction system capacity parameters:
Whether detected cells qos measurement amount reaches critical thresholding; If so, priority bit speed and minimum bit rate after then keeping adjusting are constant, finish to adjust; Otherwise, continue to reduce priority bit speed and minimum bit rate.
7. method according to claim 1 is characterized in that, when described system capacity parameters is priority bit speed and minimum bit rate, also comprises after the described raising system capacity parameters:
Detect priority bit speed and minimum bit rate and whether be higher than respectively lowest priority bit rate and minimum bit rate minimum, if so, priority bit speed and minimum bit rate after then keeping adjusting are constant, finish to adjust; Otherwise, continue to improve priority bit speed and minimum bit rate.
8. according to claim 1 to the described method of 7 any one, it is characterized in that:
Described adjusting operation carries out in default residential quarter qos measurement weight range, when the described system capacity parameters of adjustment causes the qos measurement amount to surpass default thresholding, finishes to adjust.
9. the device of an optimizing system capacity dynamically is characterized in that, this device comprises: obtain the acquiring unit of cell business volume and the adjustment unit of the traffic carrying capacity Adjustment System capacity parameter that gets access to according to described acquiring unit;
Described acquiring unit comprises: Executive Module, statistical module and determination module; Wherein,
Described Executive Module is used for carrying out admits the request judgement, carries out according to court verdict and admits operation;
Described statistical module is used for adding up described Executive Module and carries out the admittance success rate of admitting operation;
Described determination module is used for determining according to the admittance success rate of described statistical module counts the traffic carrying capacity of described residential quarter;
Described adjustment unit comprises: judge module and trigger module; Wherein,
Described judge module is used for judging that described admittance success rate admits success rate thresholding and the second size of admitting the success rate thresholding with default first respectively, and notifies described trigger module with judged result; Wherein, concrete deterministic process is, when described system capacity parameters comprises when admitting a kind of in thresholding, load congestion threshold, packet permissible delay and the packet loss at least, then the mode of Adjustment System capacity parameter is: when described admittance success rate is lower than the first admittance success rate thresholding, trigger the first regularization condition by described trigger module, improve system capacity parameters; When described admittance success rate was higher than the second admittance success rate thresholding, described trigger module triggered the second regularization condition, reduces system capacity parameters; When described system capacity parameters comprises priority bit speed and minimum bit rate at least, then the mode of Adjustment System capacity parameter is: when described admittance success rate is lower than the first admittance success rate thresholding, described trigger module triggers the second regularization condition, reduces system capacity parameters; When described admittance success rate was higher than the second admittance success rate thresholding, described trigger module triggered the first regularization condition, improves system capacity parameters; Wherein, described first admit the success rate thresholding to admit the success rate thresholding less than described second;
Described trigger module is used for receiving the notice of described judge module, triggers regularization condition, improves or reduce system capacity parameters.
10. device according to claim 9 is characterized in that, this device also comprises: first detection module and the second detection module; Wherein,
Whether described first detection module reaches critical thresholding for detection of residential quarter qos measurement amount; If so, the system capacity parameters after then keeping adjusting is constant, finishes to adjust; Otherwise, continue the Adjustment System capacity parameter;
Whether described the second detection module is higher than the minimum of described system capacity parameters for detection of the current system capacity parameter, if so, the system capacity parameters after then keeping adjusting is constant, finishes to adjust; Otherwise, continue to adjust described system capacity parameters.
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| CN102573072B (en) * | 2010-12-29 | 2014-10-01 | 中国移动通信集团湖南有限公司 | Self-adaptive regulating method and device of network resource allocation as well as communication system |
| CN102355736B (en) * | 2011-08-04 | 2014-04-02 | 大唐移动通信设备有限公司 | Method and device of determining and packet scheduling of thresholds for invocation |
| CN103516624B (en) * | 2012-06-27 | 2017-06-27 | 华为技术有限公司 | Network resource allocation method and device |
| CN103581982B (en) * | 2012-07-19 | 2018-02-02 | 华为技术有限公司 | A kind of detection method of traffic hotspots, determine method, localization method and device |
| CN104185308B (en) * | 2013-05-23 | 2018-05-29 | 华为技术有限公司 | The traffic hotspots detection method and device of cell |
| EP3068162B1 (en) * | 2013-11-13 | 2021-04-07 | Huawei Technologies Co., Ltd. | Network service hotspot elimination base station, coordinator and method thereof |
| CN105992233B (en) * | 2015-02-13 | 2019-09-27 | 中国移动通信集团浙江有限公司 | The capacity baseline calculation method and device of network service |
| CN104754655B (en) * | 2015-02-27 | 2018-10-23 | 大唐移动通信设备有限公司 | A kind of business reorganization method and apparatus |
| CN107689877B (en) * | 2016-08-03 | 2021-05-18 | 中兴通讯股份有限公司 | Parameter adjusting method and device |
| CN108471621B (en) * | 2018-06-07 | 2021-06-08 | 华南理工大学 | Communication method based on electromagnetic wave energy supply |
| CN114828050B (en) * | 2022-05-10 | 2024-04-30 | 中国联合网络通信集团有限公司 | Method, device, equipment and medium for determining service capacity |
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