WO2009059958A1 - Wireless transmission rate control method - Google Patents
Wireless transmission rate control method Download PDFInfo
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- WO2009059958A1 WO2009059958A1 PCT/EP2008/064911 EP2008064911W WO2009059958A1 WO 2009059958 A1 WO2009059958 A1 WO 2009059958A1 EP 2008064911 W EP2008064911 W EP 2008064911W WO 2009059958 A1 WO2009059958 A1 WO 2009059958A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2441—Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/25—Flow control; Congestion control with rate being modified by the source upon detecting a change of network conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/36—Flow control; Congestion control by determining packet size, e.g. maximum transfer unit [MTU]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/36—Flow control; Congestion control by determining packet size, e.g. maximum transfer unit [MTU]
- H04L47/365—Dynamic adaptation of the packet size
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0231—Traffic management, e.g. flow control or congestion control based on communication conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0268—Traffic management, e.g. flow control or congestion control using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/543—Allocation or scheduling criteria for wireless resources based on quality criteria based on requested quality, e.g. QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/02—Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
- H04W8/04—Registration at HLR or HSS [Home Subscriber Server]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/22—Negotiating communication rate
Definitions
- the wireless network is composed per example of an access Points (AP) and a lot of station (STA) such as per example telephone, radio, Visio phone, television, computer, movie player.
- AP access Points
- STA station
- signals are linked through a channel from a Station or an Access Point to a Station or an Access Point.
- the first generation of WiFi Network i.e. 802.11 b, was oriented for transport of best effort traffic i.e. mainly TCP transport.
- the WMM prioritization mechanism does not guaranty any value of QoS performance parameters; however trials show that taking account of WMM prioritization improves de facto, lot of the global behavior.
- the collision avoidance mechanism only work when several STAs or APs are waiting for a free channel. When the channel is already free, there is no collision avoidance mechanism between concurrent access.
- the TXOP (Transmit Opportunity) mechanism increases the bandwidth performance by sending several packets during the same medium access, so it reduces the concurrent access probability but also increase the waiting delay for free medium.
- the collision avoidance mechanism works better for continuous transmission (typically bulk transfer) than sporadic or periodic transmission like voice or video media.
- the objective of the invention is to provide some collision avoidance mechanism.
- the invention consists in a method to select a physical rate to provide a maximum of bandwidth in a Wireless Multimedia (WMM) environment prioritizing transmission traffic from at least a station (STA) or an access point (AP) to at least a station (STA) or an access point (AP), different packet sizes corresponding to the nature of the transported content of a station (STA) or an access point (AP) and each access point (AP) being distinct with its own access category (AC).
- the invention is characterised in determining parameters specific for each access category (AC) and within an access category (AC) for each packet size range, and in selecting a physical rate using these parameters and corresponding to an access category (AC).
- the parameters specific for each access category (AC) and within an access category (AC) are the specific values Multi-rate Retry Number (MRN) and Excessive Retry Number (ERN) of each AC.
- MRN Multi-rate Retry Number
- ERN Excessive Retry Number
- the parameters specific for each access category are quality of service criteria (QoS) such as Packet Loss Ratio criteria (IPLR) and delay transmission criteria (IPDT).
- QoS quality of service criteria
- IPLR Packet Loss Ratio criteria
- IPDT delay transmission criteria
- the selection is dynamic in order to change from one physical rate to another physical rate when the quality of service criteria (QoS) is changing.
- QoS quality of service criteria
- IPLR packet Lost Ratio
- the measurement of the transmission delay of each packet is being defined with starting and ending conditions, the starting condition corresponding to the end of the filling up of the transmit buffer of the corresponding access category (AC) or station (STA) with a new packet to be transmitted, the ending condition corresponding to the reception of a transmission acknowledge.
- IPDT IP packet Delay Transmission
- IPDT IP packet Delay Transmission
- each AC has its own set of parameters (AIFS, CWMIN, CWMAX and TXOP). So in order to have a more realistic CUE evaluation, this parameter set should be introduced in the CUE calculation and comparison between different phyrate. If not, the CUE calculation results may lead the RCA to a non- optimized selection of the current phyrate.
- the principle of Bandwidth oriented RCAs is to minimize the CUE (Channel Usage Estimation) consumed by each traffic flow.
- CUE% N (1 + Collision Retry% + BER Retry%)(AI FS(AC) + Average CW(AC, Retry%) +POH+ 8 (MacHeader + L) /Phyrate)+SIFS+ACK), with:
- - CUE% is the percentage of CUE used by a packet flow of N packets per second
- - Collision Retry% is the packet retry ratio due to collision
- - BER Retry% is the packet retry ratio due to BER
- - AIFS is the AIFS delay of this AC
- the packet size BE and BK AC the packet size is not homogenous because all types of traffic may be found including file transfer, HTML pages, VoIP, V2IP,
- IPTV IPTV, various signaling protocols etc.
- PER Packet Error rate
- AIFS and Backoff times are also specific to each AC. For small frame like VoIP, this time is independent of the phyrate but represents a significant part of the transmission delay. E.g. at 54Mbps 29 % of the CUE over the VO AC and 43 % of the CUE over BE AC. Consequently, for the same packet size, depending of the retry rate, AIFS and back off times should lead also the RCA to select a different phyrate for the same packet size on different AC.
- the collision probability is linked mainly to the number of concurrent access to the medium.
- the WMM parameter values associated to each AC i.e. AIFS, CWMIN, CWMAX, TXOP
- the used CUE etc.
- the bandwidth need for a G711 codec is around 80 Kbps (G729 is 44 Kbps)
- the transport protocol is over the VO AC
- the frame size is 172 bytes at IP level and the frame period 20 ms, VO traffic.
- the end-to-end delay for voice may not exceed 400ms, and the target value should be150ms.
- the target of 400ms (and even more the 150 ms) is already difficult to reach and to guaranty, WiFi link should not be a significant degradation factor of this end-to-end delay.
- the other G.1010 end to end Voice Media requirement is the acceptable packet lost ratio which should be from 1 % and 5% (depending of the codec type and packet lost cancellation associated mechanism) associated to the codec.
- the IPLR performance objective has to be bellow 0,5% for VO AC.
- the typical bandwidth need for video is between 64 Kbps and 512 Kbps depending of the available bandwidth
- the typical packet size is 700B and relative packet period between 87ms and 10ms.
- the End to end delay must be close from 150 ms with an additional lip sink requirement of 80ms and a packet lost bellow 1 %. So the reasonable performance objective for the NW segment is a maximum delay bound of 80 ms and a packet loss ratio bellow 0,5%.
- the QoS performance requirements for the Vl AC are:
- the packet size is variable, the used protocols may be either TCP or UDP based.
- each host e.g. PC
- ITU G.1010 requirement for HTML browsing the end-to-end delay is between 2s to 4s per page the packet loss ratio is 0. Consequently - There is no real Delay Bound performance for the WiFi segment for BE and BK AC
- BE and BK CA should minimize CUE usage, in order to have a WiFi NW providing the best bandwidth for the BE and BK CA.
- Max IPDT the max delay bound requirement of an AC
- Max IPLR the maximum allowed packet lost of an AC
- the max delay bound As only a meaning if it is reported to a packet population. So the max delay bound requirement has been changed in a IPDT percentile requirement for a very high percentile of the packet population e.g. upper than 99% for voice, 99,9 for video etc... Because the minimum transmission delay transmission of a packet over WiFi NW is equivalent to the physical transmission time for the first try (in typical configuration bellow 1 ms), the IPDV percentile value (IP Delay Variation for a percentile of population e.g. 99%, 99,5%, 99,9) is always bellow and close to the IPDT percentile value (of the same percentile of population). So in a first approximation IPDV percentile and IPDT percentile of a WiFi node may be considered as equivalent. Consequently, there are no needs and no real benefits to have specific requirement attached to IPDV percentile for WiFi NW.
- IPLR IPLR
- IPDT percentile IPDV real time media have bandwidth requirement which need to be considered in case of layer 2 admission and control (using DDTS and TSPEC procedure).
- the average transmission delay or Mean IPDT
- the Codec packet period is typically between 20 and 40 ms, and the IPDT percentile is 20ms. This means that the IPDT percentile takes precedence over the Mean IPDT requirement.
- Video packet period is typically around 1 , 75 ms and the IPDT percentile requirement is 80ms. This means that Means IPDT requirement takes precedence over IPDT percentile requirement.
- the packet error probability is equivalent to the PER (Packet Error Rate).
- PER Packet Error Rate
- a part of the PER is due to BER and is constant of each try, a part is due to collision and it is not the same for each try.
- trials show that in a first approximation for a specific environment the PER may be considered as constant for all tries. This approximation fit well when the CW (Contention
- Retry rate should satisfy the following condition: MaxIPLR ⁇ PER .
- This retry rate value is called Excessive Retry Rate (ERR) e;g. For a ERN of 8 and VO max IPLR of 0,5 % the Retry Rate should not exceed 100%. This level of Retry Rate may seem very high but may be reached easily e.g. in long range or quick degradation or environment situation.
- PER l - y l - Pb ) ⁇ LPb (see previous paragraph), in order to have a homogeneous behavior for one direction for all packet size the ERN may be configured differently for all packet size range: smaller packet may have smaller ERN values.
- the ERN should be configurable per AC, and within an AC per packet size range. And for each ERN value associated with an AC, the RCA should select a phyrate with a Retry Rate compatible with AC IPLR requirements.
- Bandwidth oriented RCA are not adapted for the VoIP or V2IP mobility:
- the total Retry Rate is around 50 %.
- the corresponding IPDT 99,9 i.e. the maximum transmission delay for 99,9 % of the packets
- IPDT 99,9 and associated IPDV 99,9 IP Delay variation for 99,9 % of the traffic
- a bandwidth-oriented RCA may not guaranty any IPDT and IPDV requirement.
- RCAs are producing CUE statistics for different packet size and different phyrates using sampling or probing mechanism. As these statistics require a significant number of packets before being reliable, the statistic result productions are de facto high latency compared to potential change of wireless condition.
- RCA may implement a mechanism called usually Multi-rate. This mechanism forces a one packet temporary phyrate change based on the overrun of a Multirate Retry Number
- the low latency criteria define the current performance of the system.
- the current performances define the objectives to perform e.g. improve the IPDT or improve the CUE.
- Middle latency criteria give the measurements need to select the actions to perform in order to reach the objective. And alarm act as fireman.
- the second difficulty of any adaptive RCA is the necessity to first evaluate and measure the wireless environment before being operational. For that, each RCA instance is using several phases:
- this phase is corresponding to the definition of the default condition and the initialization of statistic mechanism.
- the Learning phase this phase is corresponding to the period needed to obtain some measurement of the environment e.g. mean Retry rate, mean IPDT, IPDT variance or mean CUE of various phyrate.
- the learning phase duration is dependant of the number of sample needed to produce a first bunch of valid statistics.
- IPDT IP packet
- the RCA by measuring and controlling or the mean try rate (or mean retry rate) is able also to control the IPLR of a transmission.
- the main input used for IPLR estimation based on exponential distribution is the mean retry rate measurement.
- this mean retry rate measurement needs much more less samples (e.g. around 200 sample for and IPLR of 1 %) compared to a direct measurement of IPLR (e.g. the measurement of an IPLR of 1 % may require at least 5000 sample).
- IPLR estimation based or Exponential distribution model properties allows the RCA to be much more reactive to IPLR variation.
- IPDT distribution model may be assimilated either to a Gamma distribution.
- a Gamma distribution model For a Gamma distribution model:
- IPDT Percent represents the IPDT percentile and Percent represents the percentile (e.g.99% or 99,9%).
- IPDT Percent can be estimated by using the following series:
- the main input used for IPDT percentile estimation based on Gamma distribution is the mean IPDT and the IPDT variance measurement.
- this mean retry rate estimation request much more less samples (e.g. around 200 sample for and IPDT of 99%) compared to a direct measurement of IPDT (e.g. the measurement of an IPDT 99 may require at least 5000 sample).
- measure is used when a physical transmission parameter value are really measure e.g. means IPDT means CUE, Tries number, IPDT percentile, IPLR may be measured. To obtain a valid measurement of transmission parameter, some of them like mean IPDT or Means CUE require a limited number of samples, some others like IPLR or IPDT percentile require a lot of samples.
- estimate is used when the mathematical distribution properties are used to estimate transmission parameter value using a limited number of samples: typically IPDT percentile and IPLR percentile are estimated. For an equivalent number of sample, the result of an estimation are de facto more accurate that a real measurement, when the sample population follow the distribution model but less reliable in the opposite situation.
- evaluation is used when the usage of measurement or evaluation does not need to be differentiated in this level of the description of the RCA.
- the window size is the same than previous one.
- the main draw back of this method is to request a samples number equivalent to the window size before to be able to provide a new average value
- IPDT percentile performance value may is valid only if the associated IPLR performance fulfills the AC IPLR requirement. This explains why in the AC hierarchy requirements, the IPLR requirement comes before the IPDT percentile requirement.
- the packet size has a direct impact PER and consequently on the mean retry rate.
- the mean retry rate is with ERN the main inputs used for the estimation of IPLR.
- packet number of SMA or the smoothing factor of EMA and or MEMA should be correctly dimensioned. This value may change from one AC to another due to the specific nature of the traffic of each AC IPLR measurement, estimation and comparison:
- IPLR of various phyrate may be compared using their Mean Retry Rate.
- the RCA need to know the impact of the candidate phyrate over the IPDT percentile.
- IPDT percentile several possible implementations may be used with different level of complexity, requiring different number of samples with different reliability and reactivity: - IPDT measurement. As explain before this method is reliable but requires a lot of packet to provide a valid measurement and consequently does not provide a sufficient reactivity.
- IPDT percentile estimation based on the properties of a Gamma distribution. As explained before this estimation if it less reliable than a real measurement but provide the needed reactivity for low bandwidth media like VoIP. In addition this method allows the RCA to discard any phyrate with a IPDT percentile outside the AC requirements.
- the alternative to phyrate sampling method is the phyrate probing method.
- the probing method is using out of band fake packets and not in band real packets as the sampling method. If phyrate probing avoids bringing any additional perturbation in the real traffic, phyrate-probing packets may increase significantly the used CUE of each flow (e.g. more a less 10%). Probing impact over CUE may be a real disaster when there are inside a WiFi NW a lot of low bandwidth streams like VoIP, which requires a probing which may reach e.g.
- a typical value for the phyrate sampling ratio is 10% of the packet population or two times 5 % if two phyrates are sampled together. This 10 % of packets are using a phyrate which may have worst (or better) IPLR and IPDT percentile performance than the nominal phyrate. As IPLR and IPDT percentile performance are defined by the loss or the excessive IPDT of less than 1 % of the packet population, phyrate sampling may have dramatic impact over global transmission performance. Consequently: - The RCA instance should verify that all transmitted packets using either sampled or nominal phyrate fulfills the AC performance requirements. These global performance estimations are called Global IPLR (GIPLR) and Global IPDT (GIPDT) estimation (or measurement). - The RCA instance should provide IPLR, IPDT percentile and Mean CUE evaluations for each nominal or sampled phyrate in order to be able compare the phyrate performances and potentially select a new nominal phyrate in order to improve the global performance.
- GPLR Global IPLR
- GPDT Global IPDT
- the estimation method should be preferred. However as all transmitted packets are used for the evaluation, the measurement method may be considered at least for high bandwidth application like IPTV.
- GIPLR ⁇ TrafficRatio n x IPLR n
- each of the sampled and nominal phyrates in use for the current RCA instance - Traff ⁇ cRatio n represent the percentage of traffic transmitted by this phyrate
- IPDT n is the GIPDT Percent of phyrate n .
- GIPDT Percent of is given by the series:
- the sampling for this phyrate may be suspend in order to not to degrade more the global performance.
- GiPLR percent ⁇ TrafficRatio n x IPLR n ⁇ maxGiPLR , the max IPLR target may be
- the max IPLR of the highest sampled phyrate may be higher than max GIPLR and Max IPLR of the nominal phyrate IPLR may be lower tan the max IPLR.
- Global IPLR and Global IPDT states and relative impacts on phyrate selection:
- - Bad IPDT state the GIPLR is below the max IPLR, but the GIPDT is above the Max IPDT.
- - Good IPDT state the GIPLR and GIPDT are both below the max IPLR and max IPDT.
- the RCA will select nominal and sampled phyrate which will improve the CUE but with a IPLR and IPDT estimation compatible max IPLR and max IPDT requirement.
- sampling evaluations are using a small fraction of transmitted packet (e.g. 5%)
- sampling evaluations are de facto much more less reliable than global IPLR or IPDT percentile evaluation which are using all transmitted packet measurements . Due to that, some inconsistencies and contradictions may appear between the evaluations results done at global level and at phyrate sampling level. In all these situations, the RCA should consider first global evaluation. A way to reduce these error is to use to evaluate nominal phyrate performance, the measurements of all packet transmitted at nominal phyrate, but with a specific sampling smoothing factor (roughly 10% higher than to the global smoothing factor) in order to cover the same temporal window that the sampled phyrates:
- the Phyrate Sampling Rate is the rate used to measure the performance
- sampling rate selection is a compromise between fast adaptation delay on one side and reliability in IPLR IPDT and CUE evaluation on the other side.
- a fast adaptation mode is used when a traffic is starting or re-starting or in case of bad situation.
- the RCA objective is to identify the phyrate providing the best performance as fast as possible.
- a slow adaptation mode is used when the RCA know the best phyrate to use.
- the RCA objective is to provide the optimum IPLR, IPDT or/and CUE global performance.
- each AC e.g. 1 ,5 s for VO and 1 ,5s Vl class, 3s for BE or BK class.
- the PSAP defines the targeted delay for a phyrate potential change and consequently the phyrate adaptation speed.
- PASP Phyrate Adaptive Sampling Period
- MIPP Mean Inter- departure packet Period
- PFAI Phyrate Fast Adaptation Iteration
- the PSAP and PFAI initial values are specific to each AC.
- PASP Phyrate Adaptive Sampling Period
- o PSAP Phyrate change period for measurement of nominal phyrate and sampled phyrate) o n the number of measured phyrate (e.g. 3 for 2 sampled and 1 nominal) o N define the Number of packet per needed for the by the various EMA or MEMA to provide a valid measurement or estimation. For a EMA or a MEMA, this is the number of sample needed to give a cumulative weighing > 80%, e.g.
- MIPP MIPP
- ASR (MIPP/PASP) * (n-1 )/n).
- o ASR 66% for a 64 kbps G711 codec with a 20ms MIPP.
- o ASR 6% for a 6mps IPTV with a 1 ,77ms MIPP.
- o ASR 40% for a 512 kbps Videophony with a 12ms MIPP. Consequently, in Phyrate Slow Adaptation Mode, sampling is optimized for better IPDT and CUE performances.
- the RCA is using the Inter Packet Period measurement for:
- the aim of phyrate sampling is to give an opportunity to the RCA to select a phyrate providing either a better, IPLR, better IPDT or a better CUE usage. This paragraph try to answer to the question about how selecting the phyrate to sample.
- the RCA should discard the phyrates, which is not able to improve the current targeted performances which are:
- IPLR A lower phyrate give lower retry rate and consequently a better IPLR performance. However with some phyrates at the boundary between OFDM and non OFDM should be skipped: - 5,5 MB provide always a lower retry rate than 6MB (6 Mbps needs to be skipped if 5.5 is available)
- the CUE The CUE :
- the RCA should not select a lower phyrate which are consuming even with no retry more CUE that the current phyrate (this is not possible for a higher phyrate).
- Some methods bringing a faster adaptation are more adapted for mobility needed for VoIP; - Some methods decreasing the risk of packet lost by limiting the sampling to the next adjacent phyrate;
- the principle of multi-rate mechanism is to reduce the phyrate after several tries at the same rate, based on the assumption that the RCA will recover more efficiently a bad situation may by using a lower phyrate.
- IPLR has no impact on retry rate measurement.
- the exponential distribution model used to evaluate IPLR may be less relevant.
- the CUE time used to transmit one packet is the sum of CUE time of each try taking in account the individual phyrate of the try.
- SLP Successive Packet Lost
- Temporary perturbed environment e.g. microwaves oven, other WiFi NWs Bluetooth transmission
- SLP condition may happen with the use of one specific phyrate or e.g. higher sampled phyrate, on nominal phyrate or on all phyrates: consequently SLP condition must be detected by phyrate.
- a Starting phase of a RCA instance should be initiated when no traffic has been previously established for this direction and for this AC and this packet range.
- two phyrates to sample are selected (e.g. 1 adjacent lower and 1 adjacent upper phyrate).
- IPDT and CUE estimation of sampled and nominal phyrates are in a Valid State (indicated by the SPC), i.e. the various used MEMA have been fed by a sufficient number of samples.
- the RCA will choose a lower phyrate for nominal and sampled phyrate whatever could be the individual IPLR performance of each phyrate. If there is no lower phyrate available, the RCA may only wait for better conditions. - The lowest phyrate will become the new nominal phyrate.
- This phyrate will become the new nominal phyrate. o
- One of the previously sampled phyrate e.g. the lowest phyrate
- the RCA is selecting a new phyrate to sample (e.g. a highest phyrate than the new current phyrate).
- the EMAs of the new sampled Phyrates are initiated with the EMAS values of the new current phyrate.
- a too small Excessive Retry Number may lead to an unreachable max IPLR.
- Exponential Distribution model for IPLR and Gamma distribution model a reliable to compare phyrate performance but a less reliable regarding the provided IPLR and IPDT estimation.
- a too small max IPLR requirement e.g. bellow 0,05%) or a too high percentile for max IPDT requirement (e.g. above 99,9%) may lead to non realistic estimation and will imply very small smoothing factor for the MEMA and consequently a very bad reactivity to changing condition.
- RCA is using several data reflecting the configuration and input providing from Wireless implementation:
- this value is used by the RCA to decide of the initial phyrate.
- Long or short preamble mode (used for CUE calculation)
- MIPP Mean Inter-departure Packet Period
- PFAI Phyrate Fast Adaptation Iteration
- PASP Phyrate Adaptive Sampling Period
- Last send frame info this include (associated to each packet range instance)/ o Send/unsent: (used for GIPLR statistic). o Current Phyrate (used for mean CUE calculation). o Number of tries (used for IPLR and Mean CUE calculation). o Packet Size (used for Mean CUE calculation). o Transmission Delay including all tries, back off times, and waiting for free channel time (used for sampled phyrate IPDT and GIPDT estimation).
- Multi-rate support for mobility purpose - Phyrate Fast and low adaptation mode, as the bandwidth use is quite low, slow adaptation mode is required for interactive video.
- the main benefit of this invention at user level is to provide for application like VoIP, V2IP, IP TV, and VOD using WiFi NW a phyrate selection targeting the specific QoS requirements of not only interactive and non interactive real time media but also best effort traffic.
- This invention may be used in non WMM configuration.
- the RCA parameter configuration selected will be either a BE AC configuration.
- This invention may be implemented as well on a WiFi Access Point than on WiFi Station.
- the maximum of benefit is provided when it-is implemented on both AP and STAs. It fully compatible with the existing IEEE 802.11 standard and may apply as to all implementation of WMM over 802.11 a, b, g and following.
- This invention is HW independent. It may be built over any HW implementation, which is able to provide the needed information to the SW. - This invention is independent of the performance of the HW: but the global resulting performances in term of e.g. range or bandwidth are clearly dependant of the HW and all other WiFi implementation belonging to the same NW.
Abstract
Description
Claims
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2010532563A JP5238037B2 (en) | 2007-11-09 | 2008-11-04 | How to select the physical layer transmission rate |
AT08847684T ATE516646T1 (en) | 2007-11-09 | 2008-11-04 | METHOD FOR CONTROLLING A WIRELESS TRANSMISSION RATE |
US12/734,480 US8472462B2 (en) | 2007-11-09 | 2008-11-04 | Wireless transmission rate control method |
BRPI0818729-0A BRPI0818729B1 (en) | 2007-11-09 | 2008-11-04 | WIRELESS TRANSMISSION RATE CONTROL METHOD |
EP08847684A EP2206298B1 (en) | 2007-11-09 | 2008-11-04 | Wireless transmission rate control method |
CN2008801150761A CN101855873B (en) | 2007-11-09 | 2008-11-04 | Wireless transmission rate control method |
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CN102065489B (en) * | 2010-12-21 | 2013-04-10 | 杭州华三通信技术有限公司 | Method and device for dynamically distributing multi-rate retransmission times |
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JP5264966B2 (en) * | 2011-07-26 | 2013-08-14 | 株式会社日立製作所 | Communication device |
CN102594495B (en) * | 2012-03-06 | 2014-06-04 | 苏州博联科技有限公司 | Dynamic beacon interval (BI) design method based on wireless multimedia sensor networks enhanced distributed channel access (EDCA) mechanism |
US10103949B2 (en) * | 2012-03-15 | 2018-10-16 | Microsoft Technology Licensing, Llc | Count tracking in distributed environments |
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CN104023001B (en) * | 2013-12-25 | 2017-04-26 | 上海寰创通信科技股份有限公司 | Method for AC equipment to forward unauthorized message information |
JP2015201755A (en) * | 2014-04-08 | 2015-11-12 | 株式会社東芝 | Communication device and communication method |
US10820314B2 (en) | 2014-12-12 | 2020-10-27 | Qualcomm Incorporated | Traffic advertisement in neighbor aware network (NAN) data path |
US10827484B2 (en) | 2014-12-12 | 2020-11-03 | Qualcomm Incorporated | Traffic advertisement in neighbor aware network (NAN) data path |
US20160192377A1 (en) * | 2014-12-30 | 2016-06-30 | Qualcomm Incorporated | Adaptive edca adjustment for dynamic sensitivity control |
KR102389003B1 (en) * | 2015-10-13 | 2022-04-22 | 삼성전자주식회사 | Method and apparatus for providing multimedia service between heterogeneous networks |
EP3258680A1 (en) * | 2016-06-17 | 2017-12-20 | Nokia Solutions and Networks Oy | Multi subscription network prioritization |
US10517021B2 (en) | 2016-06-30 | 2019-12-24 | Evolve Cellular Inc. | Long term evolution-primary WiFi (LTE-PW) |
US20200100143A1 (en) * | 2018-09-20 | 2020-03-26 | Cisco Technology, Inc. | Traffic shaping methods and apparatus for providing wireless contention reduction and airtime fairness for multimedia traffic flows in a wireless network |
CN109963306B (en) * | 2019-03-06 | 2022-05-13 | 南京信息职业技术学院 | IEEE802.11AF investigation rate selection method |
CN114253683B (en) * | 2021-11-26 | 2022-11-01 | 北京百度网讯科技有限公司 | Task processing method and device, electronic equipment and storage medium |
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EP2058989A1 (en) | 2009-05-13 |
EP2206298A1 (en) | 2010-07-14 |
EP2206298B1 (en) | 2011-07-13 |
KR20100096082A (en) | 2010-09-01 |
KR101472922B1 (en) | 2014-12-24 |
CN101855873B (en) | 2012-10-24 |
JP5238037B2 (en) | 2013-07-17 |
JP2011503986A (en) | 2011-01-27 |
BRPI0818729B1 (en) | 2020-09-15 |
ATE516646T1 (en) | 2011-07-15 |
CN101855873A (en) | 2010-10-06 |
US20100296466A1 (en) | 2010-11-25 |
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