CN1633205A - A method of multi-service switching QoS of broadband wireless multimedia cellular network - Google Patents
A method of multi-service switching QoS of broadband wireless multimedia cellular network Download PDFInfo
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- CN1633205A CN1633205A CN 200410061459 CN200410061459A CN1633205A CN 1633205 A CN1633205 A CN 1633205A CN 200410061459 CN200410061459 CN 200410061459 CN 200410061459 A CN200410061459 A CN 200410061459A CN 1633205 A CN1633205 A CN 1633205A
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Abstract
This invention relates to a method for a broadband wireless multimedia cellular network multi-traffic switch service quality based on the randomly controlled cellular network distributed system, in which, a state collection exchange/module collects and records the traffic state of the area by a wireless controller to exchange the state information of similar areas by the existed high speed wire network among base stations A vector operator/module accepting probability utilizes the transferred state information to decide the average call acceptance probability of the traffic in this control period at the beginning, the acceptance controller/module accepts the probability vectors and applies coherent probabilities to accept various new applied services timely.
Description
Technical field
The present invention relates to the service quality and the bandwidth availability ratio of broadband radio multi-media cellular network, be particularly related under the wireless cellular network environment of multiple business such as speech, data, video, the microminiaturized trend in sub-district makes that the handover of calling out is frequent, how to guarantee that multiple business is in handover, under the condition of call interruption probability less than the predetermined quality services QoS that has nothing in common with each other limit, the utilance maximum of wireless bandwidth resource.
Technical background
Along with radio communication and development of internet technology, the new generation broadband wireless network will finally carry multiple business such as video, speech, data, simultaneously, for the microminiaturized trend in the sub-district of improving channeling makes that the handover of calling out is more frequent, when the sub-district that is entered is in high capacity and can't carries switch call, this calling will be interrupted, and the call interruption probability is an important QoS index.Outage probability when switching is called out in multiple business guarantees simultaneously that less than the various different requirements of user to service quality the bandwidth availability ratio maximum is not only a key but also challenging problem.To the professional Call Admission Control of new application in the sub-district is the effective way of head it off.
Traditional protection channel GC strategy, each sub-district all need the calling that enters for switching, reserve a part of bandwidth, and this is a cost to reduce bandwidth availability ratio, can not adapt to the variation of flow rate mode.And the dynamic approach that has been found that the employing STOCHASTIC CONTROL in the world solves this problem, can adapt to the variation of flow rate mode, guarantee under the condition of the qos requirement that satisfies service call handoff probability, the bandwidth availability ratio maximum, but regrettably, this method can only be applied to single business, can not be applied to multi-service, because multiple business is called out and is had nothing in common with each other at aspects such as mobility, flow rate mode, busy channels.When setting up the channel occupancy model, contain multistep in the transfer of channel occupancy state and shift, like this, destroyed the precondition of birth and death process, thereby can't calculate parameters such as call interruption probability and call acceptance probability.
At this difficult problem, at present in the world also the someone control method that the plateau based on birth and death process distributes is proposed.But the plateau distribution is the distributions when the time trends towards infinity.In the control of reality, real-time short-period control could guarantee validity, the accuracy of control.Therefore, its control precision is undesirable.
Summary of the invention
The present invention is in order to overcome above problem, and provide a kind of broadband radio multi-media cellular network multi-service handed over service method for quality, can guarantee that the different call interruption probability of multi-service satisfies under the prerequisite of qos requirement, the bandwidth availability ratio maximum has considerable economic benefit.
The objective of the invention is to control distributed system for the admittance that fundamentally solve to guarantee a kind of broadband radio multi-media cellular network that broadband radio multi-media cellular network calls handoff probability proposes less than problem such as multi-service QoS limit and bandwidth availability ratio optimization.It is a kind of cellular network distributed system based on STOCHASTIC CONTROL, mainly comprise " the wireless cellular network service condition is gathered interchanger/module ", " multi-service admission probability vector operation device/module " and " controller/module is admitted in multi-service ", function is simple, corresponding processing module function is simple and direct to be understood, can have independently distributed system of one's own, also can embed in the protocol stack of base station, to existing underlying protocol without any change.Contrast traditional acceptance control system, the qos requirement of multi-service call outage probability has strict guarantee in the system of employing new method, and the control real-time is better, and control precision is higher, the bandwidth availability ratio optimum uses and will improve more than 10% than conventional method in high load area.And the changes in flow rate reflection rapid sensitive to happening suddenly, be well suited for service traffics and change greatly, and mobile service switches frequent multimedia cellular network in the minizone.
The solution of the present invention is:
Three block configuration are in the base station of each sub-district, and the exchange of the cell status information between the base station is finished by cable network infrastructure, do not take wireless channel.
The wireless cellular network service condition is gathered interchanger/module, be responsible for gathering the service condition of this sub-district, utilize wired basic network facility to exchange the state information of sub-district separately then, comprise current active call busy channel number, in a last control cycle, to the admission probability vector of various callings, mobile transition probability calculates in this locality according to the mobility of miscellaneous service.In order to reduce the flow of state information, calculate in the control cycle, call out to move at most for one and cross over what sub-districts, be made as s, then exchange state information gets final product within an adjacent s sub-district.Then, state information is passed to multi-service admission probability vector operation device/module.
Multi-service admission probability vector operation device/module is most crucial module, utilizes the wireless cellular network service condition to gather the state information that interchanger/module sends, and calculates the call acceptance probability vector.Utilize stochastic model that multi-service busy channel state transition diagram is converted into single traffic channel state and shift, be i.e. the birth and death process of standard.Channel seizure ratio after the conversion than real system a little more greatly, utilize the kolmogorov equation of birth and death process, obtain the expression formula of call interruption probability, make it less than given QoS limit, add the maximization constraints of channel utilization in addition, then obtain containing the equation group of call acceptance probability, can calculate strictness thus and satisfy call interruption probability CDP and limit less than QoS, and the call acceptance probability vector of channel utilization maximum.Then, the call acceptance probability vector is passed to multi-service and admit controller/module.
The call acceptance probability vector that multi-service admits controller/module to send according to multi-service admission probability vector operation device/module adopts corresponding Probability p i to admit in real time to new application miscellaneous service.Here want to produce a random number qi with even distribution earlier between [0,1], then the probability of qi≤pi is pi, if qi≤pi then admits the business of application newly, otherwise, exclude this business.This real-time acceptance method can enter the call burst flow of system gently, makes system more stable.
Hang down under the loading condition when wireless cellular network is in, control cycle can prolong, when being lower than a threshold value, and can be with (1,1 ..., 1), wherein 1 number is the number of services of offering, probability vector admit various new call requests, and do not enter control procedure.
The present invention is if adopt independently distributed system, and used device all can be bought by market and assemble.
The wireless cellular network service condition is gathered interchanger/module and is utilized existing bandwidth resources are abundant between the base station high speed cable network to transmit to close on or close cell status information, do not take wireless bandwidth resource, also very little to taking of cable network bandwidth resources.The base station admits the information of control to have only the admittance result who calculates according to the call acceptance probability vector, and promptly 1 or 0.And stochastic model has been simplified the time complexity that calculates the multi-service call admittance greatly with the birth and death process that the multi-service random process is converted into standard, makes it can calculate the call acceptance probability vector in real time.Realize that simply equipment cost is low, is beneficial to practicality and popularization.
The present invention has following characteristics:
(1) dynamically chooses the Call Admission Control cycle according to system's overall situation loading condition, control precision, computational resource, make control algolithm more accurate;
(2) state information of each sub-district exchanges by broadband cable network, does not take valuable radio channel resource;
(3) according to the scope of calling out mobility decision minizone state information exchange, can significantly reduce the flow of state information in cable network;
(4) accept all kinds of new callings in real time according to admission probability vector, the mild service traffics of burst have guaranteed the stability and the validity of algorithm.
(5) because the dynamic strategy of STOCHASTIC CONTROL has replaced the channel guard strategy of traditional static state, can be adapted to the variation of flow rate mode and system parameters;
(6) control algolithm has been considered the time variation of limited channel capacity, call interruption probability and the flow effect of adjacent cell, thereby has improved the precision of control greatly;
(7) dynamic STOCHASTIC CONTROL is used for multi-user's multi-service of broadband wireless network, good stability, practical.
Description of drawings
Fig. 1 is the admittance control distributed system block diagram of broadband radio multi-media cellular network.
Fig. 2 transforms the stochastic model figure of birth and death process for the multi-service random process.
Embodiment
Rational control cycle of choice of dynamical makes that control precision is guaranteed and it is less to expend computational resource.Because excessive cycle, control precision reduces, and the cycle is too short, and the computational resource that expends is too much.And the situation of different wireless network loads, the requirement of control precision is different again, and when load was high, requiring of control precision was higher, lacked so control cycle should be chosen relatively.
At each control cycle, the wireless cellular network service condition is gathered the service condition of interchanger/module by this sub-district of wireless controller acquisition and recording, exchange the state information of close sub-district by existing high speed cable network between the base station, state information comprises current active call busy channel number, in a last control cycle, to the admission probability of various callings, and mobile transition probability multi-service admission probability vector operation device/module is calculated in this locality according to the mobility of miscellaneous service.In order to reduce wired bandwidth that state information takies, to calculate in the control cycle by multi-service admission probability vector operation device/module, active call moves at most and crosses over what sub-districts, does not then need exchange state information between farther sub-district.Then, state acquisition interchanger/module state information that neighbor cell is transmitted passes to multi-service admission probability vector operation device/module.
The multi-service admission probability vector operation state information that device/the module utilization sends is calculated by off-line or online mode, determines each professional average call admission probability in this control cycle when a control cycle is initial.Its computational process is: set up a stochastic model, the random process of multi-service busy channel state transitions has been converted into the birth and death process of standard.Channel seizure ratio after the conversion than real system a little more greatly, this can guarantee that actual CDP strictness is less than given QoS limit.Utilize the kolmogorov equation of birth and death process, obtain the expression formula of call interruption probability, make it less than given QoS limit, add the maximization constraints of channel utilization in addition, then obtain containing the equation group of call acceptance probability, can calculate thus and strict satisfy: call interruption probability CDP limits less than QoS, and makes the call acceptance probability vector of channel utilization maximum.Computation complexity can satisfy the requirement that common chip is calculated in real time.Then, the call acceptance probability vector is passed to multi-service and admit controller/module.
The call acceptance probability vector that multi-service admittance controller/module basis sends (p1, p2 ..., pm), m is professional kind.This sub-district is applied for that newly miscellaneous service i adopts corresponding Probability p i to admit in real time.Here want between [0,1], to produce a random number qi earlier with even distribution, if qi≤pi then admits the business of application newly, otherwise, refuse this business.This real-time acceptance method can enter the call burst flow of system gently, makes system more stable.
Workflow of the present invention is as follows:
1, when the end of a control cycle, chooses the length of next cycle;
2, state acquisition interchanger/module exchanges the state information of close sub-district by the service condition of this sub-district of wireless controller acquisition and recording by existing high speed cable network between the base station;
3, the state information that admission probability vector operation device/the module utilization sends is calculated by off-line or online mode, determines each professional average call admission probability in this control cycle when a control cycle is initial;
4, admit controller/module according to the call acceptance probability vector that sends, this sub-district is applied for that newly miscellaneous service adopts corresponding Probability p to admit in real time.
Claims (4)
1, a kind of broadband radio multi-media cellular network multi-service handed over service method for quality, cellular network distributed system based on STOCHASTIC CONTROL, this method mainly comprises the wireless cellular network service condition and gathers interchanger/module, multi-service admission probability vector operation device/module and multi-service admittance controller/module, and it is characterized in that: this method is carried out according to the following steps: the state information that (1) state acquisition interchanger/module transmits neighbor cell passes to multi-service admission probability vector operation device/module; (2) state information that multi-service admission probability vector operation device/the module utilization sends is calculated by off-line or online mode, determines each professional average call admission probability vector (p1 in this control cycle when a control cycle is initial, p2, ..., pm), wherein m is professional kind; (3) multi-service admits controller/module according to the call acceptance probability vector (p1 that sends, p2, ..., pm), this sub-district is applied for that newly miscellaneous service adopts corresponding Probability p i to admit in real time, earlier [0,1] produces a random number qi with even distribution between, if qi≤pi then admits new business of applying for, otherwise, refuse this business.
2, method according to claim 1, it is characterized in that: when wireless cellular network is under the low loading condition, control cycle can prolong, when being lower than a threshold value, can be with (1,1, ..., 1) probability vector is admitted various new call requests, and wherein 1 number is the number of services of offering, and does not enter control procedure.
3, method according to claim 1 and 2, it is characterized in that: state acquisition interchanger/module is by the service condition of this sub-district of wireless controller acquisition and recording, exchange the state information of close sub-district by existing high speed cable network between the base station, on calculating in control cycle by multi-service admission probability vector operation device/module, admission probability vector to various callings, mobile transition probability calculates in this locality according to the mobility of miscellaneous service, calculate in the control cycle, call out to move at most for one and cross over what sub-districts, be made as s, then exchange state information gets final product within an adjacent s sub-district.
4, method according to claim 1 and 2, it is characterized in that: described call acceptance probability vector computational methods are: utilize stochastic model that multi-service busy channel state transition diagram is converted into single traffic channel state transition diagram, the birth and death process of standard just, channel seizure ratio after the conversion than real system a little more greatly, utilize the kolmogorov equation of birth and death process, obtain the expression formula of call interruption probability, make it less than given quality services QoS limit, add the maximization constraints of channel utilization in addition, then obtain containing the equation group of call acceptance probability, can calculate strictness thus and satisfy call interruption probability CDP and limit, obtain the call acceptance probability vector of channel utilization maximum less than QoS.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100456890C (en) * | 2006-07-25 | 2009-01-28 | 普天信息技术研究院 | Adaptive adopting control method and apparatus |
| CN101883029A (en) * | 2009-05-05 | 2010-11-10 | 埃森哲环球服务有限公司 | Application implantation method and system in the cloud |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP3969335B2 (en) * | 2003-04-07 | 2007-09-05 | 日本電信電話株式会社 | Method and apparatus for selecting QoS control method in multi-service network |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100456890C (en) * | 2006-07-25 | 2009-01-28 | 普天信息技术研究院 | Adaptive adopting control method and apparatus |
| CN101883029A (en) * | 2009-05-05 | 2010-11-10 | 埃森哲环球服务有限公司 | Application implantation method and system in the cloud |
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