CN104283621A - Channel transmission quality monitoring method - Google Patents
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- CN104283621A CN104283621A CN201310292118.1A CN201310292118A CN104283621A CN 104283621 A CN104283621 A CN 104283621A CN 201310292118 A CN201310292118 A CN 201310292118A CN 104283621 A CN104283621 A CN 104283621A
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Abstract
The invention discloses a channel transmission quality monitoring method. The method includes the steps that firstly, a current frame is received, the correctness of transmission of the current frame is detected, and NACKs which are the feedback are counted; secondly, whether the counting value of the NACKs is larger that the highest preset NACK threshold or not is judged in the operation process of a window with the length of W, if yes, the window is over and the third step is executed, and if not, the fourth step is executed; thirdly, whether the preset low transmission quality event reporting condition is met or not is judged, if yes, a poor transmission quality event is reported and the procedure is over, and if not, the fifth step is executed; fourthly, whether the counting value of the NACKs which are the feedback in the window with the length of W is lower than the lowest NACK threshold and meets the preset superior transmission quality event reporting condition, if yes, when the operation of the window with the length of W is completed, a superior transmission quality event is reported, and if not, the fifth step is executed; fifthly, the window moves forwards by the length of delta W, relevant window maintenance parameters and statistics parameters are updated, the step A is executed, and delta W is smaller than W.
Description
Technical field
The application relates to wireless communication technology field, particularly relates to a kind of channel transmission quality monitoring method.
Background technology
In mobile communication system, require can be correct under various applied environment transmission.Except improving transmission reliability, and the demand of high speed data transmission service is also in continuous growth, in order to transmit up-downgoing data faster and more accurately between base station and terminal, just needs to select modulation coding mode (MCS) adaptively.
The correctness that MCS selects, depend on to a great extent MCS select thresholding whether with actual channel environments match, if do not mated, need to correct in real time, this just needs carry out assessing and judging according to the state quality information of transfer of data.In addition, in order to ensure the reliability transmitted further, often also need to monitor the quality of transfer of data at any time.
In prior art, assess often through to the transmission correctness in a period of time window or Block Error Rate (bler) and monitor, judge and evaluate the transmission quality in this period, and selecting to carry out outer shroud adjustment to existing MCS on this basis, this is called transmission quality monitoring mechanism.
Although the bler monitoring method principle in time window is simple, need to make balance in the accuracy and real-time of monitoring.This is because: the judgement of channel transmission quality is not be as the criterion with the correct and wrong of single transmission, but need to investigate the transmission situation in the long enough time period, this just needs continuously the transmission correct and wrong situation in statistics a period of time window, the statistical window that upper head and the tail of continuous multiple time connect typically is set, not overlapping between window and window, can add up after each window terminates and draw a bler value, we are referred to as segmentation window.And due to the impact of channel circumstance, the mistake of transfer of data is paroxysmal often, namely error event distribution in time might not be uniform, bler in each split time window pre-defined is less and do not mean that the bler in any a period of time window of arbitrarily dividing is also less, so the event that the bler wanting to capture rapidly statistics in certain period is excessive.In order to not occur adding up the situation of omitting, the time window added up then is needed to be slide with very little granularity, typically window carries out order slip with the minimum time granularity of transmission of data blocks, the oldest once transmission result eliminates, up-to-date once transmission result statistics is come in, and we are referred to as sliding window.
In prior art, the benefit of segmentation window realizes simply, process is convenient and memory consumption is little, each window only needs a counter to add up bler, but owing to being the window of segmentation, overlapping on not free each other, a front window terminates rear statistics and namely empties, cannot provide reference to adding up next time, this just causes often omitting the excessive event of a lot of bler in Burst Channel environment.And the benefit of sliding window also can capture rapidly Bler exactly in Burst Channel environment crosses major issue, although theory is effective with emulation, but it is high that cost is implementation complexity, memory consumption is large, such as window is the words of 100, then user needs the amount of ram of Unit 100, and 1000 users add up separately and monitor simultaneously, need the amount of ram of 1000*100, in order to this can pay very large hardware cost.
Patent CN200580034257.8 provides a kind of high-resolution timer-efficient sliding window, for whether there occurs the detection of N number of above event in sliding window limiting time, but be actually connection segment mode between sliding window, and according to the requirements, event that will detect, window size is not necessarily fixed, and can only provide higher than a certain threshold value and the event report lower than a certain threshold value.
Summary of the invention
This application provides a kind of channel transmission quality monitoring method, reaching same N event detection response speed while, provide lower loss, and memory consumption is less.
A kind of channel transmission quality monitoring method that the embodiment of the present application provides, comprising:
A, reception present frame, detect the correctness of present frame transmission, count for the number being fed back to NACK;
B, in length be W window running in judge whether the count value being fed back to NACK is greater than the highest NACK thresholding pre-set, and if so, terminates current window and performs step C; Otherwise perform step D;
C, judge whether to meet the poor transmission reporting events condition that pre-sets, if so, report poor transmission event, and process ends, otherwise perform step e;
D, judge length to be the window internal feedback of W be whether the count value of NACK is less than minimum NACK thresholding and meets the excellent reporting events condition of transmission quality pre-set, if, when length be W window run time report the excellent event of transmission quality and process ends, otherwise perform step e;
E, window move forward deltaW length, and upgrade correlation window maintenance parameters and statistical parameter, return steps A; DeltaW is less than W value.
Preferably, described poor transmission reporting events condition is: the count value being fed back to NACK in a continuous N segmented plain window is all greater than the highest NACK thresholding pre-set.
Preferably, the excellent report condition of described transmission quality is: the count value being fed back to NACK in a continuous N segmented plain window is all less than the minimum NACK thresholding pre-set.
Preferably, the Block Error Rate minimum particle size that described length of window W monitors as required sets.
As can be seen from the above technical solutions, by parallel and that the time is overlapping detection window, the accuracy and real-time of bler monitoring obtain good balance, while obtaining better effects, it also greatly reduces memory consumption.Technical scheme can reach following technique effect:
Real-time, accuracy can detected, making between memory consumption and implementation complexity and selecting flexibly according to different application scene and demand;
Accuracy in detection and real-time is improved as far as possible with minimum memory consumption;
Fixed window size+continuous N time windows detecting, namely ensure that accuracy of detection, reaches again the effect of window dynamic conditioning, improve detection stability, and simplify realization;
Window saltus step mechanism improves the detection response speed of high Block Error Rate event.
Accompanying drawing explanation
The segmented plain implementation schematic diagram of the first window that Fig. 1 a provides for the embodiment of the present application;
The segmented plain implementation schematic diagram of the second window that Fig. 1 b provides for the embodiment of the present application;
Fig. 2 is the excellent reporting events mechanism of transmission quality and poor transmission reporting events schematic diagram of mechanism;
Fig. 3 carries out the method flow schematic diagram of transmission quality monitoring for the first segmented plain window that the embodiment of the present application provides;
Fig. 4 carries out the method flow schematic diagram of transmission quality monitoring for the second segmented plain window that the embodiment of the present application provides.
Embodiment
The application provides multiple parallel and detection window that the time is overlapping, reaching same N event detection response speed simultaneously, providing lower loss, being equivalent to the accuracy that improve event detection.And repeated detection determines whether report, provide higher detection stability and the flexibility of examination criteria.As far as possible the object of Bler statistical window segmented plain reduces memory consumption ensureing bler monitoring precision and real-time while, and raising can degree of realization, and makes balance between the two in monitoring precision and real-time.In addition, the application can provide the situation of all events in window, and not only just higher than a certain threshold value or the situation lower than a certain threshold value, provides abundanter Detection Information.
For making the know-why of technical scheme, feature and technique effect clearly, below in conjunction with specific embodiment, technical scheme is described in detail.
The channel transmission quality monitoring method that the embodiment of the present application provides adopts segmented plain window, and window size adopts fixed window size, is denoted as W, instead of variable window sizes.The set-up mode of window size is: the bler minimum particle size of monitoring as required is multiplied by certain multiple, sets a fixing segmented plain window size W.Such as require the Bler of minimum 1% granularity of monitoring, then the long W=100 frame of window, monitors the bler of minimum one thousandth granularity, then the long W of window is 1000 frames.Because Bler this as probability statistics result, timing statistics (statistical window) long enough is conducive to the accuracy of result, but also brings time loss and the excessive problem of memory consumption.In order to address this problem, in technical scheme, monitor minimum particle size according to bler and window size is set is fixed with to be beneficial to and reduces implementation complexity and memory consumption, also can reach the bler minimum particle size requirement needing monitoring completely.
The yardstick that segmented plain window is passed backward, neither whole length of window neither a minimum transmission time unit, but the transmission time unit of certain preseting length.The sliding length delta W of segmented plain window, deltaW is less than W value.Be equivalent to there is multiple parallel timing statistics window so at one time, each window exports a statistics when adding up full, namely the timing statistics of Output rusults still keeps whole length of window, but the minimum frequency for window propelling of the frequency that statistics exports, the embodiment of the present application provides two kinds of the segmented plain of window can implementation method, respectively as illustrated in figs. ia and ib (with length of window W=100, the sliding length delta W=25 of segmented plain window is example).
Transmission events is divided into multiple transmission quality grade, such as, transmission quality can be divided into excellent, the moderate and poor transmission three kinds of transmission quality.Set one or more bler event reports threshold value M, the Bler value continuous N of adding up in multiple window time triggers corresponding threshold value and just reports corresponding event, so namely, more stable transmission quality evaluation result can be obtained, also make to adopt fixing statistical window also can reach the effect of adjustment window size.And continuous print definition can be occur with the interval of certain predetermined and frequency, such as M NACK is less than minimum NACK thresholding, often can occur being no more than at most the situation that N NACK is greater than minimum NACK thresholding between adjacent twice.The rule that can occur according to mistake like this, and the quality requirement of business transmission, formulate the triggering thresholding of reporting events neatly.Fig. 2 shows the excellent reporting events mechanism of transmission quality and poor transmission reporting events mechanism.When a continuous N window statistics NACK value is less than minimum NACK thresholding, then report the excellent event of transmission quality; When NACK value is greater than the highest NACK thresholding in a continuous N window statistic processes, report poor transmission event.Minimum NACK thresholding is less than for NACK, and NACK be greater than minimum NACK thresholding and be less than the judgement of the highest NACK thresholding, must wait until that each segmented plain window completely just can judge, in above two kinds of event decision processes, the normal segmented plain of window; And NACK is greater than in the process that the highest NACK thresholding adds up in window, as long as occur that this situation then judges this event at once, in this situation, previous window jumps to next window at once, re-starts the statistics of NACK number.
Fig. 3 carries out the method flow of transmission quality monitoring for the first segmented plain window that the embodiment of the present application provides, and wherein, SN is transmission counter, and initial value is 0; Count is NACK statistical counter, and initial value is 0; Ni is transmission intermediate object program variable, i=1,2 ... .W/delta W.This flow process comprises the steps:
Step 301: start this flow process.
Step 302:NACK counter Count starts.
Step 303: receive present frame, the count value of transmission counter SN adds 1, detects present frame transmission correctness.
Step 304: judge whether the count value transmitting counter SN is greater than zero, if so, perform step 305, otherwise return step 303.
Step 305: judge whether to receive NACK feedback, if so, perform step 306, otherwise perform step 307.
Step 306: the count value of NACK counter Count is added 1.
Step 307: judge whether the count value of NACK counter Count is greater than the highest NACK thresholding pre-set, if so, performs step 308, otherwise performs step 317.
Step 308: judge whether the report condition meeting poor transmission event, if perform step 325, otherwise performs step 309.
Step 309: judge whether the count value transmitting counter SN is greater than delta W, if perform step 310, otherwise performs step 316.
Step 310: judge that whether SN is the non-zero integer multiples of deltaW, if perform step 311, otherwise perform step 312.
Step 311: make .i=(i++) mod (W/delta W), record variable N
i=Count value.
Step 312: make variable K=i, J=(i-(SN/delta W-1)) mod (W/delta W).
I mod W(wherein W>0) operation be specially: if 0<i<W, i mod W=i; If (n+1) × W>i>n × W(n is natural number), i mod W=i-n × W; If-W<i<0, i mod W=i+W.For other situations then.
Wherein, K and J is intermediate variable, and I is that record variable Ni numbers, if namely length of window W is 100, advance length deltaW to be 25, then the segmented plain of maintenance window, needs W/deltaW=100/25=4 record variable, N1, N2, N3, N4.Count value every the deltaW time with the record NACK in these 4 record variables, 4 record variable sequential loop uses by number.So in the step 310, K stores the numbering of the record variable of current state-of-the-art record, J by calculate and store the oldest record record variable numbering.The implication of mod (W/delta W) allows record variable number can circulate.
Step 313: judge whether K equals j, if perform step 315, otherwise performs step 314.
Step 314: make N
k=N
k-N
j, K--, K=K mod (W/delta W); Then step 313 is returned.
Step 315:SN=SN-delta W; Refresh counter Count=Count-N
j; Then step 303 is returned.
Step 312 to the effect of step 315 is: windowed segments is slided once, and necessary each parameter upgrades, because the time period of deltaW length of at this time once having slided from previous window, to a new window.SN is the statistic of the data transmission times counted in window, as long as there is transfer of data namely to add up, but in computational process, its value can not exceed length of window W.
Step 316:SN=SN-delta W, refresh counter Count=0; Then step 303 is returned.
Step 317: whether the count value judging to transmit counter SN is the non-zero integer multiples of delta W, if perform step 318, otherwise returns step 303.
Step 318: make i=(i++) mod (W/delta W), record variable N
i=Count value;
Step 319: judge whether the count value transmitting counter SN equals W, if so, perform step 320, otherwise return step 303.
Step 320: judge whether that the count value of NACK counter Count is less than minimum NACK thresholding and meets the excellent reporting events condition of transmission quality, if go to step 325, otherwise performs step 321.
Step 321: make K=i, J=(i++) mod (W/delta W);
Step 322: make N
k=N
k-N
j; K--, K=K mod (W/delta W);
Step 323: judge whether K equals j, if perform step 324, otherwise returns step 322.
Step 324:SN=SN-delta W, refresh counter Count=N
i, then go to step 303.
Step 321 to step 324 to act on step 312 similar to step 315, be also that windowed segments is slided once, necessary each parameter upgrades.With step 310 ~ 313 unlike, this situation be window completely after naturally carry out a windowed segments and slide, and above branch into previous window also less than, but the once unexpected windowed segments triggered because NACK number exceedes max threshold is slided.So when finding the oldest record variable, above branch into J=(i-(SN/delta W-1)) mod (W/delta W), and this branch only needs simply to carry out J=(i++) mod (W/delta W).
Fig. 4 carries out the method flow of transmission quality monitoring for the second segmented plain window that the embodiment of the present application provides, and wherein, SN is transmission counter, and initial value is 0; Count is NACK statistical counter, and initial value is 0; Ni is transmission intermediate object program variable, i=1,2 ... .W/delta W.This flow process comprises the steps:
Step 401: start this flow process.
Step 402:NACK counter Count starts, fragment counter C
istart.
Step 403: receive present frame, the count value of transmission counter SN adds 1, detects present frame transmission correctness.
Step 404: judge whether the count value transmitting counter SN is greater than zero, if so, perform step 405, otherwise return step 403.
Step 405: judge whether to receive NACK feedback, if so, perform step 406, otherwise perform step 407.
Step 406: the count value of NACK counter Count is added 1, by fragment counter C
icount value add 1.
Step 407: judge whether the count value of NACK counter Count is greater than the highest NACK thresholding pre-set, if so, performs step 408, otherwise performs step 413.
Step 408: judge whether the report condition meeting poor transmission event, if perform step 422, otherwise performs step 409.
Step 409: judge whether the count value transmitting counter SN is greater than delta W, if perform step 410, otherwise performs step 415.
Step 410: judge whether SN equals the non-zero integer multiples of deltaW, if perform step 411, otherwise performs step 413.
Step 411: make i=(i++) mod (W/delta W).
Step 412: make C
i=0.
Step 413: make variable J=(i-(SN/delta W-1)) mod (W/delta W).
Step 414:SN=SN-delta W; Refresh counter Count=Count-N
j; Then step 403 is returned.
Step 415:SN=SN-delta W; Refresh counter Count=0, C
i=0.Then step 403 is returned.
Step 416: whether the count value judging to transmit counter SN is the non-zero integer multiples of delta W, if perform step 417, otherwise returns step 403.
Step 417: make i=(i++) mod (W/delta W).
Step 418: judge whether the count value transmitting counter SN equals W, if so, perform step 419, otherwise perform step 421.
Step 419: judge whether that the count value of NACK counter Count is less than minimum NACK thresholding and meets the excellent reporting events condition of transmission quality, if go to step 422, otherwise performs step 420.
Step 420: make SN=SN-delta W, successively refresh counter Count=Count-C
i, C
i=0, then go to step 403.The effect of this step is: the necessary parameter of each segmented plain window upgrades, and ensures that counter values is correct in new window, and ensures that No. SN again counts from new window
Step 421: make counter C
i=0, then return step 403.The effect of this step is: start new counter, and carries out replacement initialization before starting.
Step 422: process ends.
A kind of channel transmission quality monitoring method that the application provides, by the segmented plain window of design, the accuracy and real-time of bler monitoring obtains good balance, while obtaining better effects, it also greatly reduces memory consumption.Technical scheme can reach following technique effect:
This application provides the windowed segments slip detection scheme that a kind of parameter can be joined, real-time, accuracy can detected, making between memory consumption and implementation complexity and selecting flexibly according to different application scene and demand;
Accuracy in detection and real-time is improved as far as possible with minimum memory consumption;
Fixed window size+continuous N time windows detecting, namely ensure that accuracy of detection, reaches again the effect of window dynamic conditioning, improve detection stability, and simplify realization;
Window saltus step mechanism improves the detection response speed of high Block Error Rate event.
The foregoing is only the preferred embodiment of the application; not in order to limit the protection range of the application; within all spirit in technical scheme and principle, any amendment made, equivalent replacements, improvement etc., all should be included within scope that the application protects.
Claims (4)
1. a channel transmission quality monitoring method, is characterized in that, comprising:
A, reception present frame, detect the correctness of present frame transmission, count for the number being fed back to NACK;
B, in length be W window running in judge whether the count value being fed back to NACK is greater than the highest NACK thresholding pre-set, and if so, terminates current window and performs step C; Otherwise perform step D;
C, judge whether to meet the poor transmission reporting events condition that pre-sets, if so, report poor transmission event, and process ends, otherwise perform step e;
D, judge length to be the window internal feedback of W be whether the count value of NACK is less than minimum NACK thresholding and meets the excellent reporting events condition of transmission quality pre-set, if, when length be W window run time report the excellent event of transmission quality and process ends, otherwise perform step e;
E, window move forward deltaW length, and upgrade correlation window maintenance parameters and statistical parameter, return steps A; DeltaW is less than W value.
2. method according to claim 1, is characterized in that, described poor transmission reporting events condition is: the count value being fed back to NACK in a continuous N segmented plain window is all greater than the highest NACK thresholding pre-set.
3. method according to claim 1, is characterized in that, the excellent report condition of described transmission quality is: the count value being fed back to NACK in a continuous N segmented plain window is all less than the minimum NACK thresholding pre-set.
4. method according to claim 1, is characterized in that, the Block Error Rate minimum particle size setting that described length of window W monitors as required.
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Application publication date: 20150114 |