CN113316165A - Method and apparatus for dynamic statistical period adjustment for rate adaptation - Google Patents
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Abstract
The present invention provides methods and apparatus for dynamic statistical period adjustment for rate adaptation. The method comprises the following steps: the transmission results of each of the plurality of data packets are collected for parallel processing, wherein the parallel processing includes statistical period control and rate adaptation control. The statistical period control may include: judging whether the first cyclic index reaches a monitoring period threshold or not; carrying out first transmission information statistics; calculating the variance of the statistical result of the transmission information; and selectively adjusting the statistical period threshold. The rate adaptation control may include: judging whether the second cyclic index reaches the counting period threshold or not; carrying out second transmission information statistics; and performing the rate adaptation. The statistical period control can dynamically adjust the statistical period of the rate adaptation control to improve the transmission efficiency of the wireless communication device.
Description
Technical Field
The present invention relates to wireless communication systems, and more particularly, to a method and apparatus (apparatus) for dynamic Statistical Period (RA) adjustment for Rate Adaptation (RA).
Background
In a free channel, such as a Wi-Fi channel, different communication systems may share a limited bandwidth at the same time and may not be able to detect each other, making collisions easy to occur. According to the related art, one or more devices in a conventional wireless communication system may perform Rate Adaptation (RA), such as data rate handover, which may cause certain problems. For example, when the Packet Error Rate (PER) becomes too high, the transmit/transmit side (TX side) may decrease the data Rate in an attempt to make the receive side (RX side) easier to receive data. If the PER becomes too high, which is due to insufficient sensitivity (sensitivity) at the receiving end, it is reasonable to reduce the data rate. However, if the PER becomes too high because of too much interference in the air (e.g., packets of data in the air are knocked off by other signals), then reducing the data rate may instead cause the packets to become longer and more susceptible to collisions. In particular, in a free channel such as a Wi-Fi channel, collisions are almost unavoidable. In the event of a collision, data packets transmitted over the air are difficult for the receiving end to successfully receive, which can result in a fast increase in PER and a further decrease in data rate by the Rate Adaptation (RA) mechanism, making the packets longer and more susceptible to collision and the PER higher. As a result, the overall performance of the conventional wireless communication system is reduced. Therefore, a novel method and related architecture are needed to improve the overall performance of a wireless communication system without side effects or with less likelihood of side effects.
Disclosure of Invention
An object of the present invention is to provide a method and apparatus for dynamic Statistical Period (Statistical Period) adjustment for Rate Adaptation (RA), so as to solve the above-mentioned problems.
It is another object of the present invention to provide a method and apparatus for dynamic statistical period adjustment for rate adaptation to improve the overall performance of a wireless communication system without side effects or with less likelihood of side effects.
At least one embodiment of the present invention provides a method for dynamic statistical period adjustment for rate adaptation, wherein the method is applicable to (applicable to) wireless communication devices. The method can comprise the following steps: the transmission results of each of the plurality of data packets are collected for parallel processing, wherein the parallel processing includes statistical period control and rate adaptation control. For example, the statistical period control may include: judging whether the first cyclic index reaches a monitoring period threshold, wherein the monitoring period threshold corresponds to a monitoring period; performing a first transmission information statistic in the monitoring period in response to the first cyclic index reaching the monitoring period threshold; calculating a variance (variance) of a transmission information statistical result, wherein the transmission information statistical result comprises a first statistical result of the first transmission information statistics; and selectively adjusting a statistical period threshold (statistical period threshold) according to the variance for the rate adaptation control. In addition, the rate adaptation control may include: judging whether the second cyclic index reaches the counting period threshold, wherein the counting period threshold corresponds to the counting period; performing a second transmission information statistic within the statistic period in response to the second cyclic index reaching the statistic period threshold; and performing the rate adaptation according to a second statistical result of the second transmission information statistics. In addition, the statistic period control can dynamically adjust the statistic period of the rate adaptation control so as to improve the transmission efficiency of the wireless communication device.
At least one embodiment of the present invention provides an apparatus for dynamic statistical period adjustment for rate adaptation, which is applicable to a wireless communication device. The apparatus may include processing circuitry located in the wireless communication device. The processing circuit is configured to control operation of the wireless communication device and collect respective transmission results of a plurality of data packets for parallel processing, wherein the parallel processing includes a statistical period control and a rate adaptation control. For example, the statistical period control may include: judging whether the first cyclic index reaches a monitoring period threshold, wherein the monitoring period threshold corresponds to a monitoring period; performing a first transmission information statistic in the monitoring period in response to the first cyclic index reaching the monitoring period threshold; calculating the variance of the transmission information statistical result, wherein the transmission information statistical result comprises a first statistical result of the first transmission information statistics; and selectively adjusting a statistical period threshold according to the variance number for performing the rate adaptation control. In addition, the rate adaptation control may include: judging whether the second cyclic index reaches the counting period threshold, wherein the counting period threshold corresponds to the counting period; performing a second transmission information statistic within the statistic period in response to the second cyclic index reaching the statistic period threshold; and performing the rate adaptation according to a second statistical result of the second transmission information statistics. In addition, the statistic period control can dynamically adjust the statistic period of the rate adaptation control so as to improve the transmission efficiency of the wireless communication device.
One of the benefits of the present invention is that by dynamically adjusting the statistical period, the present invention can properly control the Rate adaptation to effectively reduce the transmission failure under the condition of signal interference, and in particular, can correspondingly reduce the probability of retransmission and avoid a higher Packet Error Rate (PER) caused by Error control of the Rate adaptation, and can greatly improve the overall performance of the wireless communication system under the condition of limited resources. In addition, the implementation according to the related embodiment of the invention does not add much extra cost. Accordingly, the problems of the related art can be solved. Compared with the related art, the invention can achieve the optimized performance of the wireless communication system under the condition of no side effect or less possibility of causing side effect.
Drawings
Fig. 1 is a diagram of a wireless communication device according to an embodiment of the invention.
Fig. 2 illustrates a Basic Service Set (BSS) involved in one embodiment of the wireless communication device of fig. 1.
Fig. 3 is a flowchart of a method for dynamic Statistical Period (Statistical Period) adjustment for Rate Adaptation (RA), according to an embodiment of the present invention.
Fig. 4 is a control scheme of the method shown in fig. 3 according to an embodiment of the invention.
Fig. 5 is a diagram of a wireless communication device according to another embodiment of the invention.
According to the description:
100. 200, AP _1, STA _2, STA _ 3: wireless communication device
110: read-only memory
112. Program code
120. 220, and (2) a step of: processing circuit
120P: program module
122: transmission result collection module
124: statistical period control module
126: rate adaptation control module
130: fundamental frequency module
130 RX: receiving module
130 TX: transfer module
140: radio frequency module
220S: sub-circuit
222: transmission result collecting sub-circuit
224: statistical period control sub-circuit
226: rate adaptation control sub-circuit
S10, S12, S14, S16, S18, S19, S20, S22, S24, S26, S29, S16A, S16B, S16C, S16D, S16E: step (ii) of
Detailed Description
Fig. 1 is a diagram of a wireless communication device according to an embodiment of the invention. The wireless communication device 100 may include at least one memory (e.g., one or more memories) such as a read-only memory 110, a processing circuit 120, a baseband module 130, and a radio frequency module 140. For example, the processing circuit 120 may be implemented by a microprocessor or the like to execute a plurality of program modules 120P such as a transmission result collection module 122, a statistical period control module 124, a rate adaptation control module 126 and the like to control the operation of the wireless communication device 100, and the rom 110 may store the program codes 112 for loading to the processing circuit 120 as the plurality of program modules 120P, but the invention is not limited thereto. In addition, the baseband module 130 may include a receiving module 130RX and a transmitting module 130 TX. The above-listed components may be coupled to each other as shown in fig. 1, but the present invention is not limited thereto. For example, one or more additional components may be added or modified or removed from the architecture shown in FIG. 1, and/or the manner in which certain components are connected may vary. In addition, the receiving module 130RX and the transmitting module 130TX may be respectively coupled to a receiving path and a transmitting path in the wireless communication device 100, wherein the receiving path and the transmitting path are respectively formed by a set of components (e.g., a Low Noise Amplifier (LNA), a Mixer (MIX), an Automatic Gain Control (AGC), an Analog-to-Digital Converter (ADC)) and another set of components (e.g., a Digital-to-Analog Converter (DAC)), a Low Pass Filter (LPF), a Mixer (MIX), and a Power Amplifier (PA)) in the rf module 140, but the invention is not limited thereto. At least one of the memories, such as the rom 110, may be used to store information for use by the processing circuit 120, the processing circuit 120 may be used to control the operation of the wireless communication device 100, the baseband module 130 may be used to perform baseband processing, and the rf module 140 may be used to perform rf processing to allow the wireless communication device 100 to receive or transmit packets via the antenna.
Based on the architecture shown in fig. 1, the wireless communication device 100 may perform Rate Adaptation (RA), and particularly, may perform operations in compliance with the Institute of Electrical and Electronics Engineers (IEEE) 802.11 specification, and may perform dynamic Statistical Period (Statistical Period) adjustment for the Rate Adaptation (RA). Since the wireless communication apparatus 100 has a proper and robust determination mechanism, the present invention can avoid related technical problems, such as erroneous operation caused by erroneous determination, and in particular, can effectively reduce the influence of packet collision and other interferences on Rate Adaptation (RA), and ensure transmission efficiency in a clean channel.
In accordance with certain embodiments, an apparatus for dynamic statistical period adjustment for rate adaptation may comprise at least a portion (e.g., a portion or all) of wireless communication device 100. For example, the apparatus may include a control circuit of the wireless communication device 100, and the control circuit may include the rom 110 and the processing circuit 120, and in particular, may further include the baseband module 130 and the rf module 140, wherein the control circuit may be implemented as one or more integrated circuits or a chipset. As another example, the apparatus may comprise the entirety of the wireless communication device 100.
Fig. 2 illustrates a Basic Service Set (BSS) involved in one embodiment of the wireless communication device of fig. 1. As shown in fig. 2, the BSS may include wireless communication devices { AP _1, STA _2, STA _3, … }, wherein the wireless communication device AP _1 may be implemented as an Access Point (AP), and the wireless communication devices { STA _1, STA _2, STA _3, … } may be implemented as stations (Station, STA). The wireless communication devices AP _1 and { STA _1, STA _2, STA _3, … } may be used as examples of the wireless communication device 100, but the invention is not limited thereto.
Fig. 3 is a flow chart of a method for dynamic statistical period adjustment for Rate Adaptation (RA) according to an embodiment of the present invention. The method is applicable to (applicable to) the wireless communication apparatus 100, and more particularly, to the architecture (e.g., the rom 110, the processing circuit 120, etc.) shown in fig. 1, and can be performed by the apparatus. For example, the wireless communication device 100 may play a role of a transmitting side and one or more other wireless communication devices may play a role of a receiving side for a plurality of data packets transmitted from the wireless communication device 100 to the outside through the transmission path.
As shown in fig. 3, the processing circuit 120 may collect the transmission results of the data packets, such as the reception success or reception failure status (of the data packets) respectively indicated by the Acknowledgement (ACK) packets of the data packets, for parallel processing, wherein the Acknowledgement packets may be generated by the receiving end, such as the one or more other wireless communication devices, and received by the wireless communication device 100 through the receiving path, and may respectively indicate whether the transmitted data packets have been successfully received by the receiving end, such as the one or more other wireless communication devices. The parallel processing may include the statistical period control and the rate adaptation control shown in the left half and the right half of fig. 3, respectively. The transmission result collection module 122 may collect the transmission results (e.g., success/failure status such as the above-mentioned reception success or reception failure status), and the statistic period control module 124 and the rate adaptation control module 126 may perform parallel processing accordingly, and in particular, perform the statistic period control and the rate adaptation control respectively according to the transmission results. In addition, in the workflow shown in fig. 3, the respective judgment results (for example, "yes" and "no") of some steps may indicate whether the relevant conditions are satisfied. Based on the determination results, the processing circuit 120 (e.g., the statistical period control module 124 and the rate adaptation control module 126) may perform the following steps, respectively. In addition, the processing circuit 120 (e.g., the transmission result collecting module 122) may obtain, generate, and/or update a transmission packet report (TX packet report) to record the transmission results for the statistical period control and the rate adaptation control.
In step S10, the processing circuit 120 (e.g., the statistical period control module 124) may determine a first loop index such as a monitored packet Count (CNT)Monitor_PktWhether a monitored period Threshold (TH) is reached (e.g., greater than or equal to)Monitor_PeriodWherein a monitoring period threshold THMonitor_PeriodMay correspond to a monitoring period, and the first loop index is such as a monitoring packet number CNTMonitor_PktMay correspond to a monitoring time interval, but the invention is not limited thereto. If yes, go to step S12; if not, the flow proceeds to step S19. According to this embodiment, the judgment of step S10 can be performed by using "CNTMonitor_Pkt>THMonitor_Period？”、“CNTMonitor_Pkt≥THMonitor_PeriodIs there a "etc. (mean" CNT ")Monitor_Pkt>THMonitor_PeriodIs there a "for simplicity), the invention is not so limited. In some embodiments, the determination of step S10 may employ "CNTMonitor_Pkt＝＝THMonitor_PeriodIs there a "(check if the two are equal).
In step S12, the processing circuit 120 (e.g., the statistical period control module 124) may perform a first transmission information statistic during the monitoring period, and in particular, calculate a Packet Error Rate (PER) according to the transmission results. For any PER in the series of PERs, the processing circuit 120 (e.g., the statistical period control module 124) may divide the number of error packets (e.g., the number of unsuccessfully received data packets, such as the number of data packets belonging to an acknowledgment packet indicating a reception failure) in a predetermined time interval by the total number of packets of data packets that have been transmitted in the predetermined time interval to generate a quotient value as the PER, wherein the predetermined time interval is smaller than the monitoring period, but the invention is not limited thereto.
In step S14, the processing circuit 120 (e.g. the statistical period control module 124) may calculate a variance (variance) of the transmission information statistical result, and in particular, calculate a variance VAR of the PER seriesTxInfoWherein the transmission statistics may include a first statistic of the first transmission statistics, such as the range of PERs.
In step S16, the variance, such as variance VAR, is calculated according to the statistical result of the transmission informationTxInfoThe processing circuit 120 (e.g., the statistical period control module 124) can selectively adjust a statistical period threshold (statistical period threshold) THStatistical_PeriodIn particular, the statistical period threshold TH is updatedStatistical_PeriodBecomes one of a plurality of candidate statistical period thresholds for performing the rate adaptation control.
In step S18, the processing circuit 120 (e.g., the statistical period control module 124) may reset the first loop index such as the number of monitor packets CNTMonitor_PktIn particular, it is reset to a default value such as zero for continuing the statistical period control, but the present invention is not limited thereto. For example, the default value may be changed.
In step S19, the processing circuit 120 (e.g., the statistical period control module 124) may accumulate (accumulate) the first loop index such as the monitoring packet number CNTMonitor_PktIn particular, the first loop index, such as the number of monitor packets CNT, is thereby increased by a predetermined incrementMonitor_Pkt。
In step S20, the processCircuitry 120 (e.g., rate adaptation control module 126) may determine a second loop index, such as a statistical packet Count (CNT) CNTStatistical_PktWhether a statistical period threshold TH has been reached (e.g., greater than or equal to)Statistical_PeriodWherein the statistical period threshold THStatistical_PeriodMay correspond to a statistical period, and the second loop index may be, for example, a statistical packet number CNTStatistical_PktMay correspond to a statistical time interval, but the invention is not limited thereto. If yes, go to step S22; if not, the flow proceeds to step S29. According to this embodiment, the judgment of step S20 can be performed by using "CNTStatistical_Pkt>THStatistical_Period？”、“CNTStatistical_Pkt≥THStatistical_PeriodIs there a "etc. (mean" CNT ")Statistical_Pkt>THStatistical_PeriodIs there a "for simplicity), the invention is not so limited. In some embodiments, the determination of step S10 may employ "CNTStatistical_Pkt＝＝THStatistical_PeriodIs there a "(check if the two are equal).
In step S22, the processing circuit 120 (e.g., the rate adaptation control module 126) may perform a second transmission information statistic during the statistic period, and in particular, calculate a PER according to the transmission results. The processing circuit 120 (e.g., the statistic cycle control module 124) may divide the number of error packets (e.g., the number of unsuccessfully received data packets, such as the number of data packets belonging to the acknowledgement packet indicating reception failure) in the statistic cycle by the total number of packets of the data packets transmitted in the statistic cycle to generate a quotient as the PER, wherein the predetermined time interval may be equal to the statistic cycle, but the invention is not limited thereto.
In step S24, the processing circuit 120 (e.g., the Rate adaptation control module 126) may perform the Rate adaptation according to a second statistical result of the second transmission information statistics, and in particular, selectively perform a Data Rate (Data Rate) switch for controlling the wireless communication device 100 according to a change of a latest PER (such as the PER just obtained in step S22) obtained from the Rate adaptation control relative to one or more previous PERs obtained from the Rate adaptation control, wherein the second statistical result of the second transmission information statistics may represent the latest PER. For example, when PER becomes high, processing circuit 120 (e.g., rate adaptation control module 126) may decrease the data rate to make it easier for the receiving end to receive data; and when PER becomes low, processing circuitry 120 (e.g., rate adaptation control module 126) may increase the data rate to improve transmission efficiency; but the invention is not limited thereto.
In step S26, the processing circuit 120 (e.g., the rate adaptation control module 126) may reset the second loop index, such as the statistical packet count CNTStatistical_PktIn particular, it is reset to a default value such as zero for continuing the rate adaptation control, but the present invention is not limited thereto. For example, the default value may be changed.
In step S29, the processing circuit 120 (e.g., the rate adaptation control module 126) may accumulate the second loop index such as the statistical packet number CNTStatistical_PktIn particular, the second loop index, such as the statistical packet number CNT, is thereby increased by a predetermined incrementStatistical_Pkt。
For a better understanding, the method may be illustrated with the workflow shown in fig. 3, but the invention is not limited thereto. According to some embodiments, one or more steps may be added, deleted or modified from the workflow illustrated in FIG. 3. For example, the operations of steps S10-S19 and the operations of steps S20-S29 may be performed alternately. For another example, at least a portion (e.g., a portion or all) of the operations of steps S10-S19 and at least a portion (e.g., a portion or all) of the operations of steps S20-S29 may be performed simultaneously.
In addition, the processing circuit 120 (e.g., the statistic cycle control module 124) may perform the first transmission information statistic on a certain type of transmission information, such as PER, to generate the first statistic result, and particularly, the first statistic result may represent the series of PER, where the first statistic result may be used to determine whether there is a packet collision, but the invention is not limited thereto. According to some embodiments, the processing circuit 120 (e.g., the statistical period control module 124) may perform the first transmission information statistics on at least one type (e.g., one or more types) of transmission information to generate the first statistical result. Examples of the at least one type of transmission information may include (but are not limited to): transmission PER (TX PER) such as the range PER, transmission power (TX power), transmission opportunity (TXOP), and the like.
According to some embodiments, the first and second loop indices may be varied. For example: monitoring the number of packets CNTMonitor_PktCan be replaced by a monitoring TIME TIMEMonitor_PktCount the number of packets CNTStatistical_PktCan be replaced by a statistical TIME TIMEStatistical_Pkt. In particular, the monitoring period threshold THMonitor_PeriodThe monitoring period is indicated, and represents a first predetermined time duration, and a statistical period threshold THStatistical_PeriodThe statistical period may be indicated and may represent a second predetermined length of time.
Fig. 4 is a control scheme of the method shown in fig. 3 according to an embodiment of the invention. The step S16 shown in fig. 3 may include a plurality of sub-steps such as steps S16A, S16B, S16C, S16D and S16E, and the processing circuit 120 (e.g., the statistical period control module 124) may determine the variance such as the variance VARTxInfoWhether the variance falls into one of the predetermined variance ranges is determined to correspondingly update the threshold TH of the counting periodStatistical_PeriodIn particular, the statistical period threshold TH is updatedStatistical_PeriodBecoming the corresponding candidate statistic Period threshold in the multiple candidate statistic Period thresholds for the rate adaptation control, wherein the multiple candidate statistic Period thresholds can include the first candidate statistic Period threshold PeriodLV0Second candidate statistical Period threshold PeriodLV1And a third candidate statistical Period threshold PeriodLV2And PeriodLV0<PeriodLV1<PeriodLV2However, the present invention is not limited thereto.
In step S16A, the processing circuit 120 (e.g., the statistical period control module 124) may determine the variance VARTxInfoWhether it falls within a first predetermined variance range, such as less than a first predetermined variance threshold THVAR_LV1Range of (represents "VARTxInfo<THVAR_LV1Is there a "for simplicity). If yes, go to step S16B; if not, the flow proceeds to step S16C.
In step S16B, VAR is responded toTxInfoFalling within the first predetermined variance range, the processing circuit 120 (e.g., the statistic period control module 124) can determine the statistic period threshold THStatistical_PeriodSet as the first candidate statistic Period threshold PeriodLV0。
In step S16C, the processing circuit 120 (e.g., the statistical period control module 124) may determine the variance VARTxInfoWhether it falls within a second predetermined variance range such as reaching (e.g., being greater than or equal to) the first predetermined variance threshold THVAR_LV1And is less than a second predetermined variance threshold THVAR_LV2Range of (represents "TH)VAR_LV1≤VARTxInfo<THVAR_LV2Is there a "for simplicity). If yes, go to step S16D; if not, i.e. the variance VARTxInfoFalls within a third predetermined variance range such as up to (e.g., greater than or equal to) a second predetermined variance threshold THVAR_LV2Step S16E.
In step S16D, VAR is responded toTxInfoFalling within the second predetermined variance range, the processing circuit 120 (e.g., the statistic period control module 124) can determine the statistic period threshold THStatistical_PeriodSet as the second candidate statistical Period threshold PeriodLV1。
In step S16E, VAR is responded toTxInfoFalling within the third predetermined variance range, the processing circuit 120 (e.g., the statistic period control module 124) can determine the statistic period threshold THStatistical_PeriodSet as the third candidate statistical Period threshold PeriodLV2。
According to some embodiments, the plurality of predetermined variance ranges (such as the first predetermined variance range, the second predetermined variance range, etc.) may vary. For example: the number of the predetermined variance ranges may vary, and the number of the candidate statistical period thresholds may vary correspondingly; and/or the size of the predetermined variance ranges may be varied, and the size of the candidate statistical period thresholds may be varied accordingly.
Fig. 5 is a diagram of a wireless communication device 200 according to another embodiment of the invention. Compared to the architecture shown in fig. 1, the processing circuit 120 and the program modules 120P running thereon, such as the transmission result collection module 122, the statistical period control module 124, the rate adaptation control module 126, etc., can be replaced by the processing circuit 220 and its sub-circuits 220S, such as the transmission result collection sub-circuit 222, the statistical period control sub-circuit 224, the rate adaptation control sub-circuit 226, etc., respectively, in the present embodiment, for executing the operations of the method. For example, the processing Circuit 220 may be implemented by an Application-Specific Integrated Circuit (ASIC), but the invention is not limited thereto. For brevity, similar contents in this embodiment are not repeated herein.
According to some aspects, the transmission result collection module 122, the statistical period control module 124 and the rate adaptation control module 126 running on the processing circuit 120 may enable the processing circuit 120 to perform the same operations as the transmission result collection sub-circuit 222, the statistical period control sub-circuit 224 and the rate adaptation control sub-circuit 226, respectively, and thus may be regarded as the transmission result collection sub-circuit, the statistical period control sub-circuit and the rate adaptation control sub-circuit of the processing circuit 120, respectively, but the invention is not limited thereto.
Table 1 shows examples of Modulation and Coding Scheme (MCS) index (abbreviated as HT MCS index), Spatial Streams (Spatial Streams), and Data Rate (Data Rate) of Modulation and Coding (Modulation and Coding) under certain conditions, which may include GI 800ns, BW 20MHz, etc., but the present invention is not limited thereto. If necessary, the apparatus of the present invention, such as the architectures shown in fig. 1 and 5, respectively, may adjust Guard Interval (Guard Interval) GI, bandwidth BW, etc. for band control, and may perform step S24 according to a corresponding look-up table, such as table 1, to perform rate adaptation operation, in particular, switch between index candidate values of HT MCS index, so as to select a candidate value from the candidate values of the data rate as the latest value of the data rate according to the corresponding look-up table.
TABLE 1
Certain implementation details for the method can be further explained as follows. According to some embodiments, the apparatus (e.g., processing circuits 120, 220, etc.) may perform the statistical period control to distinguish between different cases according to the variance. In the first case where the PER becomes too high, which causes insufficient sensitivity at the receiving end, the apparatus may detect that the PER is deteriorated in consistency when the same transmission rate (TX rate) is used, such as a certain data rate in table 1, and the PER is calculated every time a certain number of packets (e.g., 1000 packets) are transmitted, wherein this phenomenon is related to the receiving capability of the receiving end, so that the detected PERs should not be greatly different from each other. In the second case where the PER becomes too high due to packet collisions, the apparatus may detect that there is an irregular and significant variation in PER when PER is calculated for every transmission of the same number of packets (e.g., 1000 packets) using the same transmission rate, such as the same data rate in table 1, where this phenomenon is related to random collisions, so that the PER detected each time should be quite irregular.
Due to variations such as the VARTxInfoMay indicate the distribution of the detected PERs (such as the magnitude of the difference from each other), the apparatus (e.g., processing circuits 120, 220, etc.) may distinguish the two cases according to the variance and update (e.g., dynamically adjust) the statistical period threshold TH accordinglyStatistical_PeriodTo ensure the correctness of the rate adaptation control. For example, in the second case, the apparatus (e.g., processing circuit 120, 220, etc.) may count the period threshold THStatistical_PeriodAdjusted to a larger valueSuch as the third candidate statistical Period threshold PeriodLV2In particular by increasing the statistical period threshold THStatistical_Period(e.g., increase the PER from 1000 packets PER transmission to 5000 packets PER transmission) to dilute or mitigate the impact of packet collisions on PER to reduce the probability of throttling down the transmission rate. Also for example, in the first case, the apparatus (e.g., processing circuit 120, 220, etc.) may count the period threshold THStatistical_PeriodAdjusted to a smaller value such as the first candidate statistical Period threshold PeriodLV0In particular, by reducing the statistical period threshold THStatistical_Period(e.g., decreasing from calculating a PER every 1000 packets transmitted to 500 packets transmitted) to increase the response speed of the rate adaptation. For brevity, similar descriptions in these embodiments are not repeated here.
Claims (10)
1. A method for dynamic statistical period adjustment for rate adaptation, applicable to a wireless communication device, the method comprising:
collecting respective transmission results of a plurality of data packets for parallel processing, wherein the parallel processing includes statistical period control and rate adaptation control, wherein:
the statistical cycle control includes:
judging whether the first cyclic index reaches a monitoring period threshold, wherein the monitoring period threshold corresponds to a monitoring period;
performing a first transmission information statistic in the monitoring period in response to the first cyclic index reaching the monitoring period threshold;
calculating variance of transmission information statistical results, wherein the transmission information statistical results comprise first statistical results of the first transmission information statistics; and
selectively adjusting a statistical period threshold according to the variance to perform the rate adaptation control; and
the rate adaptation control includes:
judging whether the second cyclic index reaches the counting period threshold, wherein the counting period threshold corresponds to the counting period;
performing a second transmission information statistic in the statistic period in response to the second cyclic index reaching the statistic period threshold; and
performing the rate adaptation according to a second statistical result of the second transmission information statistics;
wherein the statistics period control dynamically adjusts the statistics period of the rate adaptation control to improve transmission efficiency of the wireless communication device.
2. The method of claim 1, wherein selectively adjusting the statistic periodicity threshold for performing the rate adaptation control based on the variance further comprises:
updating the statistical period threshold into one of a plurality of candidate statistical period thresholds according to the variance for performing the rate adaptation control.
3. The method of claim 2, wherein selectively adjusting the statistic periodicity threshold for performing the rate adaptation control based on the variance further comprises:
and judging whether the variance number falls into one of a plurality of preset variance number ranges or not so as to correspondingly update the counting period threshold for carrying out the rate adaptation control.
4. The method of claim 1,
the statistical cycle control further comprises:
after the step of selectively adjusting the counting period threshold according to the variance is executed for performing the rate adaptation control, resetting the first cyclic index for continuing the counting period control; and
the rate adaptation control includes:
after the step of performing the rate adaptation according to the second statistical result of the second transmission information statistics is performed, the second cyclic index is reset for continuing the rate adaptation control.
5. The method of claim 1,
the statistical cycle control further comprises:
accumulating the first loop index; and
the rate adaptation control includes:
accumulating the second loop index.
6. The method of claim 1, wherein the first round index represents a number of monitoring packets and the second round index represents a number of statistical packets.
7. The method of claim 1, wherein the first loop index represents a monitoring time and the second loop index represents a statistical time.
8. The method of claim 7, wherein the monitoring period threshold indicates the monitoring period and represents a first predetermined length of time; and the statistical period threshold indicates the statistical period and represents a second predetermined time length.
9. The method of claim 1, wherein the first statistical result of the first transmission statistics represents a series of packet error rates, and the variance represents a variance of the series of packet error rates; and said second statistical result of said second transmission information statistics represents the latest packet error rate.
10. An apparatus for dynamic statistical period adjustment for rate adaptation, applicable to a wireless communication device, the apparatus comprising:
a processing circuit, located in the wireless communication device, for controlling an operation of the wireless communication device and collecting transmission results of a plurality of data packets for parallel processing, wherein the parallel processing includes a statistical period control and a rate adaptation control, wherein:
the statistical cycle control includes:
judging whether the first cyclic index reaches a monitoring period threshold, wherein the monitoring period threshold corresponds to a monitoring period;
performing a first transmission information statistic in the monitoring period in response to the first cyclic index reaching the monitoring period threshold;
calculating a variance (variance) of a transmission information statistic result, wherein the transmission information statistic result comprises a first statistic result of the first transmission information statistic; and
selectively adjusting a statistical period threshold according to the variance to perform the rate adaptation control; and
the rate adaptation control includes:
judging whether the second cyclic index reaches the counting period threshold, wherein the counting period threshold corresponds to the counting period;
performing a second transmission information statistic in the statistic period in response to the second cyclic index reaching the statistic period threshold; and
performing the rate adaptation according to a second statistical result of the second transmission information statistics;
wherein the statistics period control dynamically adjusts the statistics period of the rate adaptation control to improve the transmission efficiency of the wireless communication device.
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