CN116709569A - Wi-Fi QoS guarantee method based on video prediction - Google Patents
Wi-Fi QoS guarantee method based on video prediction Download PDFInfo
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- 230000005540 biological transmission Effects 0.000 claims abstract description 43
- 238000013528 artificial neural network Methods 0.000 claims description 21
- 239000000872 buffer Substances 0.000 claims description 18
- 239000000284 extract Substances 0.000 claims description 4
- 238000004891 communication Methods 0.000 abstract description 3
- 238000013179 statistical model Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 7
- 230000003139 buffering effect Effects 0.000 description 4
- 101100172132 Mus musculus Eif3a gene Proteins 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access, e.g. scheduled or random access
- H04W74/08—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access]
- H04W74/0808—Non-scheduled or contention based access, e.g. random access, ALOHA, CSMA [Carrier Sense Multiple Access] using carrier sensing, e.g. as in CSMA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64784—Data processing by the network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The invention discloses a Wi-Fi QoS guarantee method based on video prediction, which belongs to the technical field of wireless communication and comprises the following steps: acquiring playing information of a currently played video, comparing the playing information with a database, and acquiring video flow information at the next moment; based on the video stream information of the next moment, preemptive competition is carried out on channel resources, the video stream of the next moment is directly sent to a playing part or the access time of the channel is given to a sending node, and the sending node accesses the channel to transmit the video stream to the playing part; the video stream information at the next moment comprises the traffic time sequence and the traffic information at the next moment, and the invention improves the service guarantee mechanism under the traditional QoS based on the statistical model, is more accurate for traffic, avoids excessive service and insufficient service, and provides a relatively optimal service guarantee mechanism. The invention can obviously improve the performance of the wireless audio/video transmission scene and provide better delay characteristics.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a Wi-Fi QoS guarantee method based on video prediction.
Background
The wireless network adopts a CSMA/CA-based competition mechanism (the mechanism can be referred to as https:// zhuanlan. Zhihu. Com/p/20721272), and in the CSMA/CA competition process, nodes need to compete first and then transmit; in the competition process, the adopted competition parameters are different, and the probability of channel acquisition by competition is different; the contention parameters mainly include AIFS, CW (contention window contention window), and TXOP transmission time; therefore, the wireless QoS service guarantee is mainly set by setting the three parameters; as shown in fig. 1, the wireless QoS may be mapped according to the traffic type, this type may be mapped through QoS related fields of other layers, such as DSCP of an upper layer, or VLAN priority of a wired side, etc., and then different priorities may be allocated to different caches for storage; as shown in fig. 2, after different data packets are classified by buffering, different contention parameters are allocated to different buffering queues in the contention process, so that the Qos function is finally realized, and the conventional Qos is that the node selects a suitable contention parameter by itself, so that the node contends for a channel, obtains a transmission opportunity, and is difficult to realize stable and rapid data transmission.
Disclosure of Invention
The invention provides a Wi-Fi QoS guarantee method based on video prediction, which can solve the problems pointed out in the background technology.
A Wi-Fi QoS guarantee method based on video prediction comprises the following steps:
and acquiring the playing information of the currently played video, comparing the playing information with the video information in the database, and acquiring the video stream information at the next moment.
Based on the video stream information of the next moment, preemptive competition is carried out on channel resources, the video stream information of the next moment is directly sent to the playing part or the access time of the channel is given to the sending node, and the sending node accesses the channel to transmit the video stream to the playing part.
The video stream information of the next moment comprises a traffic time sequence of the next moment and traffic information.
Under the condition that the sending node can control, the sending node can directly acquire the playing information of the currently played video, wherein the playing information comprises a video name and playing time.
And comparing the play information with a database to obtain the flow time sequence and the flow information at the next moment.
The channel is preempted with the highest priority according to the flow time sequence at the next moment, and the video stream information at the next moment is directly sent to the playing part at the time node for sending the video.
In the case that the transmitting node is uncontrollable, the playing information of the currently playing video is acquired by the following method.
A wireless control part is deployed, the wireless control part continuously acquires network traffic, monitors wireless network information, extracts a characteristic time sequence of burst traffic, performs matching identification through a neural network training model, and judges the playing information of the currently played video.
The design method of the neural network training model is as follows:
constructing a database comprising N videos, simulating a wireless transmission process, extracting time points of burst video flow requests in the wireless transmission process, and obtaining a characteristic time sequence of the burst video flow requests, videos corresponding to the time points of each burst video flow request and playing time of the videos.
And putting the parameters into a neural network for training until the neural network training converges to obtain a neural network training model, and deploying the neural network training model on the wireless control part.
The wireless control part obtains a time node of the video to be transmitted from the video stream information of the next moment, performs preemptive competition on channel resources, and selects one of the following modes based on different Wi-Fi standards to give access channel time to the transmitting node.
Mode one:
after the competition is completed, the wireless control part sends a unicast wireless frame with the RDG field marked as 1 to the sending node, the sending node receives the unicast wireless frame and feeds back the unicast wireless frame with the MorePPDU field marked as 1 to the AP, and the sending node accesses a channel and executes data transmission until the transmission time obtained by the competition is ended.
Mode two:
after the competition is completed, the wireless control part directly transmits a QTP setup which immediately allocates access time for the transmitting node, and the QTP setup only allows the transmitting node to access the channel by setting other nodes to be in a NAV channel busy state, transmits the access channel and performs data transmission until the transmission time obtained by the competition is ended.
If the wireless data link supports Wi-Fi6 protocol, the second mode is adopted, and if the wireless data link does not support Wi-Fi6 protocol, the first mode is adopted.
If a plurality of wireless video flow information are identified in the network, the wireless control part transmits a Trigger frame, the Trigger frame allocates RU space according to the proportion of the video buffer sizes to be transmitted of the plurality of wireless video flows, and the transmitting node performs data transmission according to the RU indication access channel until the access time is over.
Compared with the prior art, the invention has the beneficial effects that: the invention improves the service guarantee mechanism of the traditional QoS based on the statistical model, is more accurate for the flow, avoids excessive service and insufficient service, and provides a relatively optimal service guarantee mechanism. The invention can obviously improve the performance of the wireless audio/video transmission scene and provide better delay characteristics.
Drawings
Fig. 1 is a diagram illustrating the operation of the conventional wireless QoS.
Fig. 2 is a schematic diagram of allocating different contention parameters to different buffer queues in the prior art.
Fig. 3 is a system architecture diagram of a first embodiment of the present invention.
Fig. 4 is a flowchart illustrating the operation of a system according to an embodiment of the present invention.
Fig. 5 is a system architecture diagram of a second embodiment of the present invention.
Fig. 6 is a schematic diagram of a video transmission technique.
Fig. 7 is a schematic diagram of neural network training parameter extraction according to the present invention.
Fig. 8 is a schematic diagram of a neural network module according to the present invention.
Fig. 9 is a flowchart of the present invention for assigning access time to nodes using RDG.
Fig. 10 shows a QTP method for assigning access time to a node according to the present invention.
Fig. 11 is a flowchart of an OFDMA operation in the presence of multi-video stream information.
Fig. 12 is a flowchart of the system architecture according to the second embodiment of the present invention.
Detailed Description
One embodiment of the present invention will be described in detail below with reference to the attached drawings, but it should be understood that the scope of the present invention is not limited by the embodiment.
Example 1
As shown in fig. 3 to fig. 4, the Wi-Fi QoS securing method based on video prediction according to the embodiment of the present invention is based on the architecture shown in fig. 3, which includes a wireless access point, a wireless terminal and a data link, where the wireless access point in this embodiment is a transmitting node, and the wireless terminal is a playing terminal, and the wireless access point of the architecture can control, by modifying an algorithm on the wireless access point, a process of wireless contention and channel allocation is controlled, so as to control the wireless data link, and because the wireless access point is controllable, playing information of a currently playing video, including but not limited to video playing content, a condition where a data packet is to be transmitted, and corresponding information such as playing time, can be obtained from the wireless access point.
As shown in fig. 4, if all the information in the database is known, the playing information is compared with the information such as the video information, the video sequence and the like in the database, so that the video traffic information at the next moment can be obtained, the video traffic information includes the traffic time sequence and the traffic information at the next moment, the time when the video stream information is sent is known, and the wireless access point can be allocated with a channel for data transmission and transmission time according to the situation.
In the embodiment, a mode of preempting and endowing is adopted to provide QoS access function for the node, and the existing QoS is that the node selects proper competition parameters by itself so as to compete for channels and acquire sending opportunities; for this traffic transmission scenario based on prediction certainty, since it is known at what time the traffic will be sent, the transmission opportunity is divided directly for this point in time without having to rely on the nodes themselves to compete.
The wireless access point seizes the channel through QoS Null frame; the wireless access point adopts the competition parameter with the highest priority, namely, the random number is selected to be 0, and the rollback is not needed; in addition, the PIFS time is only detected to access the channel; in the case of this priority, the wireless access point can almost absolutely preempt the channel; firstly, the wireless access point performs preemptive competition on channel resources according to a time node of a video to be sent; the wireless access point may send the video stream directly to the wireless terminal.
Example two
As shown in fig. 5-12, the Wi-Fi QoS securing method based on video prediction according to the embodiment of the present invention is based on the architecture shown in fig. 5, where the architecture includes a wireless access point, a wireless terminal, and a data link, and since the wireless access point is uncontrollable, playing information of a current video cannot be directly acquired, and therefore a wireless control unit is added, the wireless control unit is used for identifying features such as video traffic in a wireless network scenario, and since the wireless network scenario is unicast encrypted transmission, and the wireless control unit is not added to a video transmission identification mechanism of the wireless network, video information cannot be acquired in a data packet manner, and therefore the embodiment provides the following identification mechanism to perform video identification.
As shown in fig. 6, fig. 6 illustrates the basic principle of the video transmission technology, at present, the video transmission is to buffer a piece of information to the receiving side periodically, for example, buffer a certain amount of information every minute, then when the buffer period is not up, the terminal will rely on the local buffer to play the video, if the data amount of the remaining buffer is smaller than the threshold value at this time, the terminal will actively request the server for some sudden buffers (i.e. the request of the burst flow of the upper graph) so as to fill the local buffer content and support the play content in the remaining time (i.e. before reaching the next round of period update), if the remaining flow is not smaller than the buffer at this time, the terminal will not need to request the server for buffering, directly consume and play the local buffer content until the period arrives, and obtain the next buffer.
However, the above design exists because in the video transmission scene, the traffic size is dynamically changed, and if the video transmission scene is purely static, the video transmission scene is always buffered according to the fixed traffic and periodically, but in the video transmission scene, the traffic size is closely related to the content of the video coding, if the video transmission scene is a scene with very rapid image change, the information amount is large, the video time relatively preserved in the same buffer is shorter, otherwise in the scene with very slow image change, such as static scene, the same buffer can keep longer playing time as the picture. Therefore, the sizes and the occasions of the burst traffic requests of different videos are different, which is mainly related to the video content, and a special identity is constructed for each video and each playing position from the side.
As shown in fig. 7, this embodiment combines a video database to construct a training data, where n videos are included in the database, and simulates a wireless transmission process, and extracts a time sequence of the whole video corresponding to the wireless transmission process, where the time sequence corresponds to the aforementioned burst traffic request, and since a video includes a plurality of buffering periods, the characteristics of the burst traffic request obtained here are also a time sequence, which corresponds to time domain information of the whole video.
As shown in fig. 8, the obtained information input feature time sequence, the corresponding video and the corresponding time information are put into a deep neural network for training until the training convergence of the neural network, and a neural network training model is obtained.
The training and the identification of the neural network module are both implemented by the module shown in fig. 8; training parameters of the neural network under the condition of fixed input and output; and under the condition that the parameters of the neural network are fixed, inputting the parameters to obtain an output result.
Subsequently, the model is deployed on a node of the wireless control part; the node continuously captures network traffic and monitors wireless network information, extracts the information (especially burst request traffic of the wireless access point), and inputs the characteristic time sequence corresponding to the traffic into the constructed neural network for matching identification, and the current playing is judged to be the time node of video information and playing.
Fig. 12 is a flowchart of QOS securing under the architecture in fig. 5 according to the present embodiment.
The embodiment also provides a preemptive and endowed mode for providing QoS access function for the node, the traditional QoS is to make the node select proper competition parameters by itself so as to compete channels and obtain transmission opportunities, and for the traffic transmission scene based on the prediction certainty of the embodiment, as the known traffic is transmitted at what time, the transmission opportunities are directly divided for the time point without depending on the node itself to compete.
In the present embodiment, the wireless control unit first seizes the channel by QoS Null frames; the wireless control part adopts the competition parameter with the highest priority, namely, the random number is selected to be 0, and the rollback is not needed; in addition, the PIFS time is only detected to access the channel; in the case of this priority, the radio control section can almost absolutely preempt the channel; firstly, preempting competition is carried out on channel resources by a preempting person according to a time node of a video to be sent; the access time of the channel is given to the transmitting node (wireless access point or wireless terminal).
The embodiment also provides two modes of giving access time to the node, wherein the mode is selected by judging a protocol supported by the wireless communication link before, if Wi-Fi6 is supported, the mode is adopted, and if Wi-Fi6 is not supported, the mode is adopted.
Mode one:
as shown in fig. 9, the first method is a method by RDG. After the competition is completed, the preemption endows channel resources to nodes needing to be transmitted by means of RDG. Given the mechanism of RDG (Reverse Direction grant), the transmission time obtained by contention (i.e., TXOP time, transmit Opportunity) may be given to the node. At this time, the radio control unit first sends a unicast radio frame, and the RDG field in the frame is marked with 1, that is, the time slice is assigned to a specific node. Thereafter the node feeds back a unicast radio frame to the AP and marks 1 in the MorePPDU field indicating receipt of the allocation of the time slice. The node may then access the channel and perform data transmission until the TXOP transmission time ends.
Mode two:
as shown in fig. 10, the second method is a method by QTP (Quiet Time Period). When the contention is completed, the preemption directly transmits QTP Setup to allocate access time to the node immediately, and this QTP Setup sets the NAV to the NAV channel busy state for all other nodes, and only allows a specific node to access the channel. And after that, the node performs data transmission corresponding to the access channel until the QTP time is over.
As shown in fig. 11, if a plurality of wireless video traffic information is identified in the network at this time, parallel transmission of a plurality of wireless traffic can be performed in an OFDMA manner, and at this time, the wireless control or wireless access point transmits Trigger frames while allocating to wireless channel access and corresponding OFDMA RU (Resource Unit). The Trigger frame may control the duration of wireless channel access, the RU allocated size, and the corresponding node. At this time, the preemption may allocate RU proportionally according to the number of concurrent video streams and the size of the video buffer to be transmitted. If the video stream has more buffer size to be transmitted, a larger RU space is allocated, and if the buffer is smaller, a smaller RU space is allocated. After that, the node performs wireless access according to the RU instruction until the OFDMA access time is over.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (7)
1. The Wi-Fi QoS guarantee method based on video prediction is characterized by comprising the following steps:
acquiring playing information of a currently played video, comparing the playing information with video information in a database, and acquiring video stream information at the next moment;
based on the video stream information of the next moment, preemptive competition is carried out on channel resources, the video stream information of the next moment is directly sent to a playing part or the access time of a channel is given to a sending node, and the sending node accesses the channel to transmit the video stream to the playing part;
the video stream information of the next moment comprises a traffic time sequence of the next moment and traffic information.
2. The Wi-Fi QoS securing method based on video prediction as claimed in claim 1, wherein, under the condition that the transmitting node can control, the transmitting node can directly obtain the playing information of the currently playing video, wherein the playing information includes the video name and the playing time;
comparing the play information with a database to obtain a flow time sequence and flow information at the next moment;
the channel is preempted with the highest priority according to the flow time sequence at the next moment, and the video stream at the next moment is directly sent to the playing part at the time node for sending the video.
3. The Wi-Fi QoS securing method based on video prediction as claimed in claim 1, wherein in case that the transmitting node is uncontrollable, the playing information of the currently playing video is obtained by the following method;
a wireless control part is deployed, the wireless control part continuously acquires network traffic, monitors wireless network information, extracts a characteristic time sequence of burst traffic, performs matching identification through a neural network training model, and judges the playing information of the currently played video.
4. The Wi-Fi QoS securing method based on video prediction as claimed in claim 3, wherein the neural network training model is designed as follows:
constructing a database comprising N videos, simulating a wireless transmission process, extracting time points of burst video flow requests in the wireless transmission process, and obtaining a characteristic time sequence of the burst video flow requests, videos corresponding to the time points of each burst video flow request and playing time of the videos;
and putting the parameters into a neural network for training until the neural network training converges to obtain a neural network training model, and deploying the neural network training model on the wireless control part.
5. The Wi-Fi QoS securing method based on video prediction as claimed in claim 1, wherein the wireless control section obtains a time node of a video to be transmitted from video stream information of a next time, performs preemptive competition for channel resources, and selects one of the following modes based on different Wi-Fi standards to assign access channel time to the transmitting node;
mode one:
after the competition is completed, the wireless control part sends a unicast wireless frame with the RDG field marked as 1 to a sending node, the sending node receives the unicast wireless frame and feeds back the unicast wireless frame with the MorePPDU field marked as 1 to the AP, and the sending node accesses a channel and executes data transmission until the transmission time obtained by the competition is ended;
mode two:
after the competition is completed, the wireless control part directly transmits a QTP setup which immediately allocates access time for the transmitting node, and the QTP setup only allows the transmitting node to access the channel by setting other nodes to be in a NAV channel busy state, transmits the access channel and performs data transmission until the transmission time obtained by the competition is ended.
6. The Wi-Fi QoS securing method of claim 5, wherein the second mode is used if the wireless data link supports Wi-Fi6 protocol, and the first mode is used if the wireless data link does not support Wi-Fi6 protocol.
7. The Wi-Fi QoS securing method based on video prediction as claimed in claim 3, wherein if a plurality of wireless video traffic is identified in the network, the wireless control section transmits a Trigger frame, the Trigger frame allocates RU space according to a ratio of a video buffer size to be transmitted of the plurality of wireless video traffic, and the transmitting node performs data transmission according to an indication access channel of RU until the access time is over.
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