CN101431770B - Control method used for base station congestion of radio communication system up link - Google Patents
Control method used for base station congestion of radio communication system up link Download PDFInfo
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Abstract
The invention relates to a control method for base station jam for an uplink of a wireless communication system in the technical field of wireless communication systems. The method comprises the following steps: after a base station sends data to a downlink user at this time and receives all data sent by an uplink user, the base station calculates a queue length which is not sent to the downlink user in a current buffer area, and predicts the queue length in the next buffer area; the base station calculates a sending upper limit, and calculates out a percentage for jam control for the uplink user; after each uplink user receives the percentage for the jam control, the percentage for the jam control is multiplied by the next sent data amount as the actual sent data amount, and if the uplink user does not receive the percentage for the jam control sent by the base station, the uplink user can not send data; and the base station determines whether to adjust jam control strategy according to the calculated percentage for the jam control. The method can treat jam control well, and ensures throughput of the system to have little or no loss at the same time.
Description
Technical field
The present invention relates to the base station congestion control method in a kind of wireless communication system technologies field, specifically is a kind of control method that is used for the radio communication system up link base station congestion.
Background technology
The third generation mobile communication system (4G) need provide very high data rate, under limited frequency resource condition, should provide high transfer rate as much as possible, and this just needs to consider to adopt the high technology of the availability of frequency spectrum.In the ideal case, adopt multiple-input and multiple-output (MIMO) technology, channel capacity can linearity increase along with the increase of number of antennas, and theory proves, this technology has the very high availability of frequency spectrum, is one of technology most competitive in the future mobile communication system.In real system, because the unpredictability of channel condition and the uncertainty of user's request may cause at a time and even a certain period, the base station sharply descends to the throughput of downlink user, thereby cause the mass data bag, " overstock " at the base station buffering area because of having little time to send.The capacity of base station buffering area is limited, therefore, in case the packet that overstocks has exceeded the capacity limit of base station buffering area, buffering area will take place overflow, and causes data-bag lost, and promptly the base station takes place congested.
Find through literature search prior art, Atilla Eryilmaz etc. are in IEEE/ACM Transactionson Networking (IEEE/ACM network transactions, in December, 2007, the 15th volume, the 1333-1344 page or leaf) " the Fair Resource Allocation in Wireless Networks Using Queue-Length-BasedScheduling and Congestion Control " that delivers on (" using based on the scheduling of queue length and the fair resource allocation of congested control technology in the wireless network "), the resource contention problem that occurs at wireless network in the literary composition proposes scheduling and congestion control policy based on base station buffering area queue length and transmission data rate.Its specific practice is the relational expression between the queue length that provides in each up user's data arrival rate under the statistical significance and the corresponding base station buffering area, determine the upper limit of each up user's data arrival rate in the next process of transmitting by the queue length in the base station buffering area in this process of transmitting, and this upper limit fed back to each up user, thereby guarantee that up user is under with the condition that is not more than this rate sending data, the base station buffering area can not overflow, and reaches the purpose of congested control.Its deficiency is: the relational expression between the queue length in the base station buffering area of up user's data arrival rate and correspondence relates to the exponent arithmetic of exponent arithmetic or even fractional order, and complexity is very high, has increased greatly with low-cost hard-wired difficulty; Arrival rate in the relational expression and queue length are not linear relationships, when queue length increased, the arrival rate upper limit can sharply reduce thereupon, thereby caused the excessive inhibition to up user, make the base station buffering area not to be fully used, finally influence the throughput of whole system.But the problem that it exist is that computation complexity is excessive, thereby occurs suppressing excessively to influence the throughput of system easily; In addition, because the queue length in each up user's data arrival rate and its corresponding base station buffering area has nothing in common with each other, need to calculate independently successively each up user's the arrival rate upper limit, rather than they are united consideration as a whole, be difficult to satisfy relative fairness to each up user, promptly the different demands of service speed are formulated congested congestion control policy according to the up user of difference, the user high to rate requirement, even its corresponding base station buffering area queue length is bigger, also should suitably distribute the bigger transmission rate upper limit.
Summary of the invention
The present invention is directed to the deficiencies in the prior art, a kind of control method that is used for the radio communication system up link base station congestion is provided, with the method in the classical adaptive filtering theory such as linear prediction, be incorporated into the congested control in the next generation wireless communication system, can be implemented under the prerequisite of low complex degree, handle congested control well, the throughput that guarantees simultaneously system again is subjected to less and even does not suffer a loss.
The present invention is achieved by the following technical solutions:
The present invention includes following steps:
The first step, the base station sends ED at this to downlink user, and receives after the total data that up user sends, and calculates the queue length that does not send to downlink user in the current buffering area as yet, predicts the queue length in the next buffering area;
In second step, according to the capacity of base station buffering area, the base station is calculated and is sent the upper limit, according to sending the upper limit, obtains the percentage of up user being done congested control again;
The 3rd step, the base station will send to each up user to up user's congested control percentage, each up user receives after the congested control percentage, the data volume that adjustment sends to the base station, on the basis of the data volume of descending less important transmission, multiply by congested control percentage, as the actual data volume that will send,, then can not send data if up user does not receive the congested control percentage that send the base station because of reasons such as noise, interference;
In the 4th step, the base station determines whether needs adjustment congestion control policy according to this congested control percentage that calculates.
The queue length that does not send to downlink user in the current buffering area is as yet calculated in described base station, its method comprises directly with the data volume summation that has little time to send to each downlink user of storing in the buffering area, also comprise earlier the data volume that has little time to send to each downlink user of storing in the buffering area, through certain selected in advance function, after the polynomial function mapping, summation again.
The queue length in the next buffering area is predicted in described base station, and its method is linear prediction, specifically be in the storage base station buffering area from current m time queue length forward, set up the AR model on m rank, thereby extrapolate the queue length of base station buffering area next time.
The queue length in the next buffering area is predicted in described base station, its method also can be method such as Wiener filtering and Kalman filtering in the adaptive-filtering, concrete grammar is to set up filter model by buffering area queue length before, and with the input of buffering area queue length before as filter, then the output of filter is the flaw buffering area queue length of prediction.
Described base station is calculated and is sent the upper limit, its method comprises directly and deducts the queue length of buffering area next time that dopes with buffer pool size, also comprise buffer pool size is deducted obtain after the queue length of buffering area next time that dopes poor, through certain suitable function, after the logarithmic function mapping, be re-used as the transmission upper limit;
The described percentage of up user being done congested control of obtaining, its method comprises with sending the merchant and certain pre-determined constant comparison that the upper limit obtains divided by buffer pool size, and both get, and it is little.The principle that described constant is selected is guarantee the base station buffering area stable, reduces the influence to throughput of system as far as possible, satisfies special user's demand for services.This constant is different with user's difference.Concrete grammar comprises that acquiescence is to each user, this constant gets 1, when certain or certain user need transmit more data or when delaying time sensitivity, can consider guaranteeing under the stable prerequisite of base station buffering area, this or these user's constant is got number greater than 1, and other user's constant is got less than 1 more than or equal to 0 number;
Described each up user adjusts the data volume that sends to the base station, and the method for employing comprises according to the Shannon capacity formula to calculating and goes out transmitted power, adjusts the data volume that need send to the base station by regulating transmitted power;
Whether the decision of described base station needs to adjust congestion control policy, the situation of wherein adjusting congestion control policy comprises that to continue to occur the data volume that up user sends to the base station too small, so that the data volume that base station reality sends to downlink user is less than its maximum that can send, thereby influenced the throughput of system; Congested control fails occurs,, the packet loss phenomenon occurs though the base station through congested control, still has part to overflow the base station buffering area from up user's data;
Adjust current congestion control policy as if the base station decision, then adjust the method for congestion control policy, comprise that changing method, the change of predicting the buffering area queue length calculates the method that sends the upper limit or reselect up user etc.The up user's of described selection range of application comprises and up user continue to occur to send to the data volume of base station too small, and the method for taking to change prediction buffering area queue length with change calculate the method that sends the upper limit after, said circumstances does not have remarkable improvement yet.Its concrete grammar comprises increases up user, replaces up user etc.
, temporary transient congested control fails occurs, thereby packet loss occurs because of reasons such as withdrawing from of channel status sudden change, new user's adding or original user in view of inevitably.At this moment, send the upper limit and should be negative, thereby congested control percentage is negative.Up user should calculate the data volume that the base station buffering area is lost according to congested control percentage after receiving this negative congested control percentage, retransmit these data.
The present invention is by predicting that the base station is after downlink user sends data, the Congestion Level SPCC of buffering area, rationally suppress the data volume that up user sends to the base station, realize guaranteeing the congested control of throughput of system, or when knowing that congested control may be lost efficacy perfectly well, take measures, thereby reduce the packet loss loss as far as possible; The present invention adopts the method for linear prediction or other adaptive-filtering, predicts the base station after downlink user sends data, and the queue length of base station buffering area is simple, effective; The present invention realizes that the parameter of congested control is a dynamic adjustable, can adapt to the various demands of real system under complex environment; The present invention is when realizing congested control, and the throughput of associating taking into account system is not that cost exchanges the base station buffering area for and do not take place congested with the throughput of sacrificial system promptly; The present invention is fair relatively to being suppressed under the default situations of up user, promptly each user is suppressed same scale factor; For the user that specific (special) requirements is arranged,, can guarantee to change its inhibition degree simply under the not congested prerequisite in base station as the user of multimedia service; The present invention has not only considered the base station buffering area when downlink throughput capacity reduces, and contingent congested situation has also been considered to increase at downlink throughput capacity, when up user sends data and reduces on the contrary, for improving throughput of system, make full use of the base station buffering area, counter-measure has been proposed.
Description of drawings
Fig. 1 be the present invention based on the block diagram of system environments.
Fig. 2 is the flow chart of one embodiment of the invention.
Fig. 3 is under the different signal to noise ratio conditions, use the jamming control method that the present invention proposes respectively based on linear prediction, based on the jamming control method of minimum mean square self-adaption filtering, the experiment simulation of the total throughput of system figure as a result based on the jamming control method of Kalman filtering and after not adopting these 4 kinds of methods of any jamming control method.
Fig. 4 is under the different signal to noise ratio conditions, use the jamming control method that the present invention proposes respectively based on linear prediction, jamming control method based on minimum mean square self-adaption filtering, based on the jamming control method of Kalman filtering with after not adopting these 4 kinds of methods of any jamming control method, the long experiment simulation of the average queue of base station buffering area is figure as a result.
Embodiment
Below in conjunction with accompanying drawing embodiments of the invention are elaborated: present embodiment is being to implement under the prerequisite with the technical solution of the present invention, provided detailed execution mode and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
Embodiment
Present embodiment provides a kind of base station congestion control method that is used for radio communication system up link.This method is passed through the queue length in the real-time tracking buffering area of base station, and each up user is sent the percentage information that is used for congested control, has realized the congested control to up link.
Relate to congested control percentage in the present embodiment, its concrete concept is: do not occur congested satisfying up link, be under the buffering area of the base station prerequisite that can not occur overflowing, allow the maximum amount of data of the actual transmission of each up user to account for the percentage of its data volume that need send originally.
The applied environment of present embodiment is multi-user-multiple-input and multiple-output (MU-MIMO) system with reference to accompanying drawing 1.There are four transmitting antennas the base station, is used for transmitting self-corresponding up user's data to downlink user.Each downlink user all has a reception antenna.The data that the base station will have little time to transmit are temporarily stored in its buffering area, and buffering area is that each up user shares, promptly as long as the summation of each up user's data amount of keeping in the buffering area does not exceed the capacity of buffering area, the base station buffering area just can not overflow, and up link just can not take place congested.The base station is the purpose that reaches congested control, need send the information of congested control to each up user, be congested control percentage, up user determines the transmission upper limit separately in view of the above, and is congested as long as the data volume that all up users send can guarantee that up link does not take place within the transmission upper limit.
With reference to accompanying drawing 2, after downlink user sent data and receives the data that up user sends, a kind of execution mode that present embodiment is used for the base station congestion control method of radio communication system up link was specially in each base station:
Step 1a: current buffering area queue length is calculated in the base station, utilizes preceding m the base station buffering area queue length L of storage in advance
k, k=0 ..., m-1 in conjunction with other method in linear prediction or the adaptive-filtering, predicts next buffering area queue length
A wherein
kIt is linear predictor coefficient;
In the present embodiment, m gets 12.Linear predictor coefficient a
kThe method of asking be: estimate based on the AR of Levinson-Durbin recurrence formula spectrum, realize with the Burg algorithm.When presenting the characteristic of non-stationary for the queue length of the base station buffering area that causes because of unpredictable factors such as channel variation are too frequent or Add User, should suitably reduce the value of m, or to preceding m base station buffering area queue length windowing, the length of window is advisable with m/3 ~ m/2.Also can adopt the method for minimum mean square self-adaption filtering and Kalman filtering to eliminate above-mentioned non-stationary influence, when being initial, method sets up minimum mean square self-adaption filter or Kalman filter by preceding m base station buffering area queue length information, obtain the parameter of corresponding filter, again with preceding m base station buffering area queue length as input, next base station buffering area queue length is obtained the queue length of next base station buffering area as output.After the m+2 time, only need to come parameter to the filter of correction wave filter to restrain according to m base station buffering area queue length information of storage, obtain new filter model, the queue length of obtaining next base station buffering area more as stated above gets final product;
In the present embodiment; for the unexpected generation of prevention channel seriously declines or a large amount of up users' that arrive out of the blue situation; in view of the existing up user's data information of protection; promptly at first satisfying existing up user's data information temporary in the buffering area of base station can not lose because of buffering area overflows, and has adopted logarithmic function when asking the summation that sends the upper limit.If in order to make full use of the base station buffering area, the throughput of system is suffered a loss less, alleviate the pressure of each up user's buffering area, also can directly use linear function, but this linear function has a scale factor to guarantee above-mentioned emergency case within limit of consideration, i.e. q
Sup=a* (L-L
Next), wherein a is a scale factor, span is 0.5 ~ 1, a gets 1 when initial, and along with data volume temporary in the buffering area of base station increases gradually, a reduces gradually, until 0.5, when a reduces to after 0.5, if the congestion condition of base station buffering area is eased, promptly temporary data volume reduces to " in the safe range " in the buffering area, half of buffer pool size normally, be L/2, should increase the value of a gradually, until 0.8 ~ 0.95;
Wherein, c
nIt is the constant of setting according to n up user's demand for services.c
nMaximum be 1, this is to have exceeded up user's transmitting capacity because surpass 100% transmission percentage, is nonsensical for up user.c
nMinimum value should be greater than 0, otherwise corresponding up user will have no chance to send data to the base station forever.The up user that mission requirements is urgent more, the c that it is corresponding
nValue big more, otherwise, then more little.In addition, c
nCan dynamically adjust, when concrete method is up user's task pressing degree raising, file a request by sending specific signaling to the base station, whether the base station is accepted this according to the congestion condition decision of current buffering area and is asked to increase corresponding c
nValue;
Step 1d: will send to each up user to each up user's congested control percentage, if congested control percentage be smaller or equal to 1 on the occasion of, up user be multiply by congested control percentage on the basis of the data volume of following less important transmission, as the actual data volume that will send; If congested control percentage is negative value, up user calculates the data volume that the base station buffering area is lost according to congested control percentage, retransmits these data;
Receive situation greater than 1 congested control percentage if having up user, should think that then congested control percentage is subjected to the interference of interchannel noise and mistake occurs, up user should be about to congested control percentage certainly and reduce to one less than 1 positive number.This is because c
nThe value perseverance smaller or equal to 1, therefore
The value perseverance smaller or equal to 1, congested control percentage can not appear greater than 1 situation, up user receives the congested control percentage greater than 1, can only think to occur receiving mistake, and should consider that channel condition may be sharply abominable at this moment, should temporarily reduce the data volume that sends to the base station, the congested control percentage that promptly up user should be about to receive certainly is taken as the positive number less than 1;
Step 1e: congestion control policy is adjusted according to the congested control percentage that this calculates in the base station, comprises that method, the change of change prediction buffering area queue length calculated the method that sends the upper limit and rescheduled up user;
Situation that need to adjust congestion control policy comprises that to continue to occur the data volume that up user sends to the base station too small, so that the data volume that base station reality sends to downlink user is less than its maximum that can send, thereby has influenced the throughput of system; Congested control fails occurs,, the packet loss phenomenon occurs though the base station through congested control, still has part to overflow the base station buffering area from up user's data;
Change and predict that buffering area comprises the value that increases or reduce m to the method for row length, be that the buffering area queue length changes when slow, can increase the value of m, the buffering area queue length changes when violent, should reduce the value of m, and adopt the windowing measure or use Forecasting Methodology in other adaptive-filterings such as lowest mean square filtering, Kalman filtering instead; The method that change to calculate sends the upper limit is, if the queue length of buffering area continues to maintain reduced levels, normally less than buffer pool size half, promptly L/2 can change linear function into calculating the logarithmic function that sends upper limit summation; Otherwise if the queue length of buffering area continues to maintain higher level, normally greater than 4/5 of buffer pool size, promptly 4L/5 should change logarithmic function into again with calculating the function that sends upper limit summation;
Dispatching uplink user's range of application comprises and up user continue to occur to send to the data volume of base station too small, and the method for taking to change prediction buffering area queue length with change calculate the method that sends the upper limit after, said circumstances does not have remarkable improvement yet.Its concrete grammar comprises increases up user, replaces up user etc.;
Under extreme case, may suddenly change because of channel status, new user's adding or original user reason such as withdraw from, temporary transient congested control fails occurs, thereby packet loss occurs.At this moment, send the upper limit and should be negative, thereby congested control percentage is negative.
Emulation experiment
Suppose that there are 4 transmitting antennas the base station, at same band limits 40 users are arranged, each user has 1 antenna.
Data arrived with the form of the Poisson flow of random parameter before congested control, obeyed independent same distribution, average between the gain vector of down channel and be 0 multiple Gaussian Profile.
The throughput of investigation base station in a certain frequency range and the average queue length of base station buffering area.Wherein, in the base station congestion control method that is used for radio communication system up link that the present invention proposes, " LP " is based on the jamming control method of linear prediction, " LMS " is based on the jamming control method of minimum mean square self-adaption filtering, and " Kalman " is based on the jamming control method of Kalman filtering.As a comparison, any congestion control method at up link is not adopted in " no congestioncontrol " expression base station.
Simulation result is shown in Fig. 3,4.Wherein Fig. 3 has provided under the different signal to noise ratio conditions and to have used the total throughput of system after above-mentioned 4 kinds of methods, and Fig. 4 has provided that to use after above-mentioned 4 kinds of methods the average queue of base station buffering area under the different signal to noise ratio conditions long.From Fig. 3 and Fig. 4, unite and find out, if any jamming control method at up link is not adopted in the base station, then there is a strong possibility is in congested state for a long time for the buffering area of base station, thereby it is high to make that the throughput of system adopts behind the jamming control method, the consequence that causes is that data temporary in the buffering area of base station are overflowed, and it is unreliable to transmit.After adopting three kinds of jamming control methods that provide among the present invention, the data volume in the buffering area of base station is inhibited, and maintains the level that buffering area is overflowed, and has guaranteed that simultaneously the throughput of system only slightly descends.
The uplink congestion control method that present embodiment proposes has following advantage:
Complexity is low, thereby effectively reduces time complexity and to the requirement of hardware.
This jamming control method needs base station feedback to give up user's data amount little, but containing much information of comprising.If this feedback data is further taked quantification treatment, then can be so that the feedback data amount is littler.
Adopt the queue length of method prediction base station buffering area when next iteration of linear prediction or other adaptive-filtering, simple, effective.
The parameter that realizes congested control is a dynamic adjustable, can adapt to the various demands of real system under complex environment.
When realizing congested control, the throughput of associating taking into account system is not that cost exchanges the base station buffering area for and do not take place congested with a large amount of throughput of sacrificial system promptly.
To being suppressed under the default situations of up user is fair relatively, promptly each user is suppressed same scale factor; For the user that specific (special) requirements is arranged,, can guarantee to change its inhibition degree simply under the not congested prerequisite in base station as the user of multimedia service.
Not only considered base station buffering area contingent congested situation when downlink throughput capacity reduces, also having considered to increase at downlink throughput capacity, when up user sends data and reduces on the contrary, is to improve throughput of system, make full use of the base station buffering area, proposed counter-measure.
Claims (10)
1. a control method that is used for the radio communication system up link base station congestion is characterized in that comprising the steps:
The first step, the base station sends ED at this to downlink user, and receives after the total data that up user sends, and calculates the queue length that does not send to downlink user in the current buffering area as yet, predicts the queue length in the next buffering area;
In second step, according to the capacity of base station buffering area, the base station is calculated and is sent the upper limit, according to sending the upper limit, obtains the percentage of up user being done congested control again;
The 3rd step, the base station will send to each up user to up user's congested control percentage, each up user receives after the congested control percentage, the data volume that adjustment sends to the base station, on the basis of the data volume of descending less important transmission, multiply by congested control percentage, as the actual data volume that will send,, then can not send data if up user does not receive the congested control percentage that send the base station;
In the 4th step, the base station determines whether needs adjustment congestion control policy according to this congested control percentage that calculates.
2. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, the queue length that does not send to downlink user in the current buffering area is as yet calculated in described base station, and its method comprises: directly with the data volume summation that has little time to send to each downlink user of storing in the buffering area; Perhaps, after certain selected in advance Function Mapping, sue for peace again earlier with the data volume that has little time to send to each downlink user of storing in the buffering area.
3. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, the queue length in the next buffering area is predicted in described base station, its method is linear prediction, specifically be from current m time queue length forward in the buffering area of storage base station, set up the AR model on m rank, thereby extrapolate the queue length of base station buffering area next time.
4. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, the queue length in the next buffering area is predicted in described base station, its method is Wiener filtering and a kalman filter method in the adaptive-filtering, set up filter model by buffering area queue length before, and with the input of buffering area queue length before as filter, then the output of filter is the queue length of the buffering area of base station next time of prediction.
5. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, described base station is calculated and is sent the upper limit, its method comprises directly and deducts the queue length of buffering area next time that dopes with buffer pool size, perhaps buffer pool size is deducted obtain after the queue length of buffering area next time that dopes poor, through after certain Function Mapping, be re-used as the transmission upper limit.
6. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, the described percentage of up user being done congested control of obtaining, its method comprises with sending the merchant and certain pre-determined constant comparison that the upper limit obtains divided by buffer pool size, and both get, and it is little.
7. the control method that is used for the radio communication system up link base station congestion according to claim 6, it is characterized in that, the method that described constant is selected comprises that acquiescence is to each user, this constant gets 1, when certain or certain user need transmit more data or when delaying time sensitivity, guaranteeing under the stable prerequisite of base station buffering area, this or these user's constant is got number greater than 1, other user's constant is got less than 1 more than or equal to 0 number.
8. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, described each up user adjusts the data volume that sends to the base station, method comprises according to the Shannon capacity formula to calculating and goes out transmitted power, adjusts the data volume that need send to the base station by regulating transmitted power.
9. the control method that is used for the radio communication system up link base station congestion according to claim 1, it is characterized in that, whether the decision of described base station needs to adjust congestion control policy, the situation of wherein adjusting congestion control policy comprises that to continue to occur the data volume that up user sends to the base station too small, so that the data volume that base station reality sends to downlink user is less than its maximum that can send, thereby influenced the throughput of system; Congested control fails occurs,, the packet loss phenomenon occurs though the base station through congested control, still has part to overflow the base station buffering area from up user's data.
10. the control method that is used for the radio communication system up link base station congestion according to claim 9, it is characterized in that, current congestion control policy is adjusted in the decision of described base station, then adjust the method for congestion control policy, comprise that the method, the change calculating that change prediction buffering area queue length send the method for the upper limit or reselects up user; Selecting up user's range of application to comprise to continue to occur up user, to send to the data volume of base station too small, and the method for taking to change prediction buffering area queue length with change calculate the method that sends the upper limit after, said circumstances does not have change yet.
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| CN101674656B (en) * | 2009-10-21 | 2012-01-04 | 上海交通大学 | Dispatching method of wireless communication user |
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| CN104410583B (en) * | 2014-11-26 | 2017-09-22 | 北京邮电大学 | Up channel data processing method in base band resource pool |
| CN104486241B (en) * | 2014-11-27 | 2017-12-05 | 北京邮电大学 | Down channel data processing method in base band resource pool |
| CN113141628B (en) * | 2020-01-20 | 2023-12-12 | 中国移动通信集团辽宁有限公司 | Method, system, reporting device and processing device for processing cell congestion |
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| CN1754335A (en) * | 2003-02-25 | 2006-03-29 | 摩托罗拉公司 | Flow control in a packet data communication system |
| CN101103601A (en) * | 2005-01-12 | 2008-01-09 | 皇家飞利浦电子股份有限公司 | Requesting permission from a base station to send packets queued at a mobile station according to its transmission delay |
| CN1984068A (en) * | 2006-06-15 | 2007-06-20 | 华为技术有限公司 | Method and device for controlling data flow |
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