CN111935556B - Big data wireless network transmission method and system for online education platform - Google Patents
Big data wireless network transmission method and system for online education platform Download PDFInfo
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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
- H04N21/64792—Controlling the complexity of the content stream, e.g. by dropping packets
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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
- H04N21/64723—Monitoring of network processes or resources, e.g. monitoring of network load
- H04N21/64738—Monitoring network characteristics, e.g. bandwidth, congestion level
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Abstract
The invention discloses a big data wireless network transmission method and a big data wireless network transmission system of an online education platform, wherein the retransmission time slot number of the current beacon period is dynamically adjusted according to the change trend of the packet loss rate, so that the time for retransmitting data is dynamically changed, and the time length corresponding to the retransmission time slot number can be dynamically suitable for the transmission of video data with different data volumes, therefore, the video data is transmitted within the time of the adjusted retransmission time slot number, the success rate of transmitting the video data which fails to be transmitted is improved, the packet loss rate of the video data transmission is reduced, and the timeliness of transmitting the video data is also improved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a big data wireless network transmission method and a big data wireless network transmission system for an online education platform.
Background
With the development of science and technology, online education and network education become a trend of education, and online education is also commonly appeared in people's lives nowadays. Namely, the students and the teachers can carry out teaching interaction in a networking mode.
On-line education greatly depends on a network, and if the network data transmission efficiency is low and the transmission effect is poor, the on-line teaching effect can be influenced. Nowadays, wireless communication technology is widely applied to the field of online education, and also widely applied to the fields of medical treatment, security protection, monitoring, military, internet, urban traffic, municipal management and the like. With the rapid development of wireless communication technology, the research on wireless communication standardization work is more and more intensive. The wireless network provides multimedia data transmission services such as voice, image, audio, video and the like. However, multimedia data such as voice, image, audio, video, etc. have the characteristics of large data volume and complex data, and during the transmission of the data, a wireless network is prone to packet loss, that is, some data packets fail to be transmitted due to various reasons, and at this time, the data packets which fail to be transmitted need to be retransmitted.
In the prior art, the retransmission method for unsuccessfully transmitted data packets is as follows: and directly transmitting the data packet within a set time window, and if the transmission fails, attempting again. This transmission is clearly an inefficient way of data transmission, and also a significant waste of time and resources. Therefore, an efficient data transmission mode is needed.
Disclosure of Invention
The invention aims to provide a method and a system for transmitting big data of an online education platform through a wireless network, which are used for solving the problems in the prior art. The big data wireless network transmission method and the big data wireless network transmission system of the online education platform can also be applied to data transmission in the fields of medical treatment, education, security protection, monitoring, military, internet, urban traffic, municipal management and the like, and can be used for transmitting multimedia data such as voice, images, audio, video and the like.
In a first aspect, an embodiment of the present invention provides a big data wireless network transmission method for an online education platform, where the method includes:
acquiring a data transmission packet loss rate in a network, wherein the packet loss rate refers to the proportion of video data with transmission failure in the process of transmitting the video data by the network;
dynamically adjusting the retransmission time slot number of the current beacon period according to the variation trend of the packet loss rate; the retransmission time slot number represents the number of times of information interaction in one data transmission process: the time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data which fails to be transmitted;
and transmitting the video data which fails to be transmitted in the current beacon period according to the adjusted retransmission time slot number.
Optionally, the dynamically adjusting the number of retransmission time slots of the current beacon period according to the packet loss ratio includes:
if the packet loss rate is in an ascending trend and the retransmission time slot number of the last beacon period of the current beacon period is smaller than the threshold, determining that the retransmission time slot number of the current beacon period changes according to a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (1):
RSlot(n)＝2×RSlot(n-1) (1)；
wherein rslot (n) represents the number of retransmission slots of the current beacon period; the RSlot (n-1) represents the retransmission time slot number of the last beacon period of the current beacon period; n represents the number of the current beacon period; the time sequence of the last beacon period of the current beacon period is before the current beacon period and is adjacent to the time of the current beacon period; when n is 1, RSlot (n-1) takes a value of 0.
Optionally, the dynamically adjusting the number of retransmission time slots in the current beacon period according to the packet loss ratio further includes:
if the packet loss rate is in an ascending trend and the number of retransmission time slots of the last beacon period of the current beacon period is greater than the threshold, determining that the number of retransmission time slots of the current beacon period changes in a linear manner, wherein the linear manner is determined according to the following formula (2):
RSlot(n)＝RSlot(n-1)+1 (2)。
optionally, the dynamically adjusting the number of retransmission time slots in the current beacon period according to the packet loss ratio further includes:
if the packet loss rate is in a descending trend and the number of retransmission time slots of the previous beacon period of the current beacon period is smaller than a threshold value, determining that the number of retransmission time slots of the current beacon period changes in a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (3):
RSlot(n)＝RSlot(n-1)/2 (3)。
optionally, if the calculated retransmission time slot number is non-integer, rounding up the non-integer retransmission time slot number to obtain an integer retransmission time slot number.
In a second aspect, an embodiment of the present invention provides a big data wireless network transmission system for an online education platform, where the system includes:
the device comprises an obtaining packet loss rate module, a transmission failure rate module and a transmission failure rate module, wherein the obtaining packet loss rate module is used for obtaining the data transmission packet loss rate in a network, and the packet loss rate refers to the proportion of video data with transmission failure in the process of transmitting the video data by the network;
the time slot adjusting module is used for dynamically adjusting the retransmission time slot number of the current beacon period according to the change trend of the packet loss rate; the retransmission time slot number represents the number of times of information interaction in one data transmission process: the time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data which is not successfully transmitted;
and the transmission module is used for transmitting the video data which fails to be transmitted in the current beacon period according to the adjusted retransmission time slot number.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a big data wireless network transmission method and a big data wireless network transmission system of an online education platform, wherein the method comprises the following steps: acquiring a data transmission packet loss rate in a network, wherein the packet loss rate refers to the proportion of video data with transmission failure in the process of transmitting the video data by the network; dynamically adjusting the retransmission time slot number of the current beacon period according to the variation trend of the packet loss rate; the retransmission time slot number represents the number of times of information interaction in one data transmission process: the time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data which fails to be transmitted; and transmitting the video data which fails to be transmitted in the current beacon period according to the adjusted retransmission time slot number. By adopting the scheme, the retransmission time slot number of the current beacon period is dynamically adjusted according to the change trend of the packet loss rate, so that the time for retransmitting data is dynamically changed, and the time length corresponding to the retransmission time slot number can be dynamically suitable for the transmission of video data with different data volumes, therefore, the video data is transmitted within the time of the adjusted retransmission time slot number, the success rate of transmitting the video data failed in transmission is improved, the packet loss rate of video data transmission is reduced, and the timeliness for transmitting the video data is also improved.
Drawings
Fig. 1 is a flowchart of a big data wireless network transmission method of an online education platform according to an embodiment of the present invention.
Fig. 2 is a diagram of a retransmission slot number adjustment window according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a beacon period according to an embodiment of the present invention.
Fig. 4 is a structural diagram of a TriggerDataRequest frame according to an embodiment of the present invention.
Fig. 5 is a diagram of a DataResponse frame structure according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating an RU assignment in a User Info field according to an embodiment of the present invention.
Fig. 7 is a schematic diagram of a typical data transmission flow of an AP and an STA based on IEEE802.11ax according to an embodiment of the present invention.
Fig. 8 is a schematic structural diagram of a big data wireless network transmission system of an online education platform according to an embodiment of the present invention.
Fig. 9 is a schematic block structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings. In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the rapid development of wireless communication technology, the research on wireless communication standardization work is more and more intensive. Wireless networks provide multimedia services for voice, image, audio, video, etc. Foreign research shows that human beings can acquire information by three major ways including content acquisition, voice acquisition and visual perception acquisition, wherein the content acquisition accounts for 7% of the total acquisition amount, the voice acquisition accounts for 33% -38%, and the visual perception acquisition accounts for 55% -60%. As an important component of wireless multimedia communication technology, research and exploration of transmission and application of video data is drawing attention of more and more researchers.
A latest generation of Wireless Local Area Network (WLAN) standard protocol, in which IEEE802.11ax is also called High-Efficiency Wireless standard (HEW), mainly aims at application in a High-density deployment environment. Compared with the prior protocol, the method introduces an Orthogonal Frequency Division multiplexing Multiple Access (OFDMA) technology which is applied to a plurality of wireless technologies into the WLAN standard, thereby improving the utilization rate of the existing Frequency band resources, and improving the efficiency and the user experience of the system. Meanwhile, the maximum transmission rate is greatly improved compared with the prior protocols, and the maximum theoretical data rate reaches 600.4Mbps (80MHz 1SS) and 9607.8Mbps (160MHz 8 SS).
Although the Orthogonal Frequency Division Multiple Access (OFDMA) mode adopted by IEEE802.11ax is greatly improved in terms of optimization of the network transmission delay problem compared with the OFDM mode adopted by previous generations of protocols, the protocol is not optimized for the wireless video monitoring transmission network. As is known, digital video data has the characteristics of large data volume, data fluctuation and the like, and meanwhile, compared with a wired channel, a wireless channel has various channel fading and doppler effects, so that the channel quality cannot be guaranteed. In summary, when the number of network video monitoring points is large, the amount of video data information is large, and there is interference in the network environment, the transmission delay and the packet loss rate of the video data packet will increase.
In a stock transaction system, an online payment system, a bank system, a subway system, a railway system, a public transportation system, a security system, a medical system and the like, a plurality of user groups exist, most of information of the users exists in the forms of videos, voices, images and characters, the data volume is huge, and the data transmission efficiency is very important for the purposes of serving the users, ensuring the safety of the users and the society and the like. However, in the case of limited data transmission resources, if the transmission resources are not reasonably allocated, some users will not be able to effectively and quickly transmit their data, and the system will not be able to quickly retrieve the data of some users, which will affect the service effect of the users.
Therefore, the embodiment of the invention provides a big data wireless network transmission method and a big data wireless network transmission system for an online education platform, which are used for transmitting multimedia data such as voice, images, audio, video and the like in the online education platform, and can shorten the data transmission delay and reduce the packet loss rate. The big data wireless network transmission method and system of the online education platform can be applied to stock transaction systems, online payment systems, bank systems, subway systems, railway systems, public transportation systems, security systems and medical systems and are used for transmitting data of users.
Examples
The embodiment of the invention provides a big data wireless network transmission method of an online education platform, which comprises the following steps of:
s101: and obtaining the data transmission packet loss rate in the network.
The method comprises the steps of obtaining a data transmission packet loss rate in a network, wherein the packet loss rate refers to the proportion of video data with transmission failure in the process of transmitting the video data in the network.
I.e. the ratio between the failed packets and the total packets.
S102: and dynamically adjusting the retransmission time slot number of the current beacon period according to the variation trend of the packet loss rate.
The retransmission time slot number represents the number of times of information interaction in one data transmission process, and is used for measuring the length of transmission time, and the time consumed by each information interaction is one retransmission time slot. The time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data with failed transmission.
S103: and transmitting the video data which fails to be transmitted in the current beacon period according to the adjusted retransmission time slot number.
In the embodiment of the present invention, the network may be a WLAN network, and the beacon period is the beacon period of the IEEE802.11ax standard in the WLAN network. According to the adjusted retransmission time slot number, the specific transmission of the video data failed in transmission in the current beacon period may be: and transmitting the video data with failed transmission in the adjusted retransmission time slot number.
By adopting the scheme, the retransmission time slot number of the current beacon period is dynamically adjusted according to the change trend of the packet loss rate, so that the time for retransmitting data is dynamically changed, and the time length corresponding to the retransmission time slot number can be dynamically suitable for the transmission of video data with different data volumes, therefore, the video data is transmitted within the time of the adjusted retransmission time slot number, the success rate of transmitting the video data failed in transmission is improved, the packet loss rate of video data transmission is reduced, and the timeliness for transmitting the video data is also improved.
After network networking is successful, a server (wireless access point) and each client (static timing analysis station) establish connection, and networking is completed. To improve the success rate of data transmission, transmission time (number of retransmission slots) needs to be reserved in advance. If the reserved time is not enough, the data transmission cannot be completed, and therefore, the time with proper data volume is reserved to improve the data transmission efficiency when the data is transmitted.
When the network does not start to transmit data, the condition of data transmission cannot be predicted, but the transmission condition of each beacon period in the historical stage can be known, and according to the change of the historical condition, specifically the change of the packet loss rate, the size of the packet loss rate in the transmission process of the current beacon period can be approximately predicted, because the interval of the beacon periods is very short (1/24s (seconds)), and the interference of the network environment is continuous (usually much longer than 1/24 s), so the prediction can be regarded as approximately accurate and reliable. Even if the situation of sudden disappearance or increase of interference occurs in the current beacon period, the time length of data transmission can be timely adjusted in the next beacon period due to the short beacon period, and the sudden change has strong strain capacity and robustness.
For this reason, the transmission requirements of each static timing analysis station in the current beacon period, but in order to improve reliability, a certain amount of data retransmission time needs to be preset in an environment where the network continuously interferes, so as to ensure the transmission of important types of video frames and the reduction of packet loss rate.
And the wireless access point plans the available retransmission time slot number RSlots (n) of the current beacon period according to the packet loss rate of the current network in the (n-1) th beacon period and the change trend of the packet loss rate. It should be noted that if n is 1, it is obvious that both the packet loss rate and the variation trend of the packet loss rate are 0; if n is 2, it is obvious that the packet loss rate has a tendency of 0.
It is assumed herein that the initial retransmission slot number is 0. In order to better meet the dual requirements of video transmission on packet loss rate and time delay, the method designs a retransmission time slot number adjusting window for dynamically adjusting the size of the retransmission time slot number so as to further improve the reliability and the real-time performance under the condition of network interference. The retransmission slot number adjustment window is shown in fig. 2. Specifically, the east adjustment of the retransmission slot number adjustment window is as follows:
optionally, the dynamically adjusting the number of retransmission time slots of the current beacon period according to the packet loss ratio includes:
and detecting the variation trend of the packet loss rate. If the packet loss rate is in an ascending trend and the number of retransmission time slots of the previous beacon period of the current beacon period is smaller than the threshold, determining that the number of retransmission time slots of the current beacon period changes according to a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (1):
RSlot(n)＝2×RSlot(n-1) (1)；
wherein rslot (n) represents the number of retransmission slots of the current beacon period; the RSlot (n-1) represents the retransmission time slot number of the last beacon period of the current beacon period; n represents the number of the current beacon period; the time sequence of the last beacon period of the current beacon period is before the current beacon period and is adjacent to the time of the current beacon period; when n is 1, RSlot (n-1) takes a value of 0.
If the packet loss rate is in an ascending trend and the number of retransmission time slots of the last beacon period of the current beacon period is greater than the threshold, determining that the number of retransmission time slots of the current beacon period changes in a linear manner, wherein the linear manner is determined according to the following formula (2):
RSlot(n)＝RSlot(n-1)+1 (2)。
if the packet loss rate is in a descending trend and the number of retransmission time slots of the previous beacon period of the current beacon period is smaller than a threshold value, determining that the number of retransmission time slots of the current beacon period changes in a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (3):
RSlot(n)＝RSlot(n-1)/2 (3)。
optionally, if the calculated retransmission time slot number is non-integer, rounding up the non-integer retransmission time slot number to obtain an integer retransmission time slot number. If the calculated RSlot (n) is a non-integer, RSlot (n) is rounded up.
If the number of retransmission time slots RSlot (n-1) > RThread in the previous beacon period of the current beacon period, where RThread is a time slot threshold, the number of retransmission time slots in the current beacon period changes according to a one-level operation manner, that is:
RSlot (n) ═ RSlot (n-1) -1 (formula 5)
By adopting the scheme and the design of the retransmission time slot number adjusting window, the change of the network environment interference can be quickly responded in a short time through the secondary operation change area, the packet loss rate is prevented from rising due to the continuously enhanced interference, and the time delay is prevented from rising due to the excessive retransmission time slot number due to the continuously weakened interference. The linear change area can guarantee certain real-time performance while giving consideration to packet loss rate when interference continuously occurs, delay rise caused by excessive retransmission time slot number is avoided, and the design has double effects of giving consideration to reliability and guaranteeing real-time performance.
Optionally, before S101, the method further includes:
the system is initialized, and a wireless Access Point (AP) determines initial parameters during initialization, including a network bandwidth range, a current network transmission rate S (unit: Mbps), the number of subcarriers (usually 26) included in a single channel RU (minimum unit of channel data transmission resource, described in ieee802.11ax document), the total number M of RU resources in the channel, a time length x (unit: second) of a contention stage in a beacon period, a time length y (unit: second) of a DF stage, and a time length t of a single data transmission timeslot1(unit: second), transmission time slot time length t of control frame2(unit: second), waiting for a time length t of a Short Interframe Space (SIFS) interval3(unit: second), video frame rate f, and maximum length of beacon period 1/f (unit: second). BeaconThe period as shown in fig. 3, the length of the beacon period is variable in consideration of the real-time requirement, because the shorter beacon period is advantageous for the timely transmission of video data. The beacon period shown in fig. 3 is composed of at least 3 phases and an optional phase, which are a contention phase, a Data Feedback (DF) phase, an enhanced Controlled Channel Access (EHCCA) phase, and a Data Retransmission (DRT) phase. The method includes a contention stage, a DF stage and an EHCCA stage, where the DRT stage is optional if the packet loss rate is 0 and continuously decreases in the last beacon period, and the length may be 0. When the AP considers that the packet loss rate is low or the packet loss rate continues to decrease, the DRT stage may be 0, corresponding to the interference of the network environment being reduced.
Briefly, the contention phase is used for a Static Timing Analysis (STA) to join or leave a network, and after the STA joins the network, the STA establishes a network connection with an AP to complete networking. The DF stage is mainly used for feeding back the size of the data volume to be transmitted by each STA, the EHCCA stage is used for controlling each STA to transmit video data according to the size of the data volume to be transmitted of each STA, and the DRT stage is used for retransmitting the unsuccessfully transmitted data packets. Where the contention phase is typically short and only exists at the beginning of the beacon period. In the DF stage, control frames are transmitted, so that the data volume is small and the time is short. EHCCA phase the length of EHCCA is variable because video packets are transmitted and the transmission requirements of STAs in different beacon periods are different. The DRT stage is optional, the length of the DRT stage is determined by the size of the packet loss rate and the variation trend of the packet loss rate, and the real-time performance is improved while the reliability is guaranteed. In the following steps, the present application describes the flow of the scheduling mechanism by taking a beacon period as an example.
The current beacon period is the nth beacon period, wherein n is greater than 2, the STA joins the network in the competition stage at the beginning of the beacon period, and the number of the current network STA is known to be k when the competition stage is finished, wherein k is greater than 0.
At the beginning of the DF phase, the AP sends a trigger request data frame (TriggerDataRequest frame), the data format of which is shown in fig. 4, the TriggerDataRequest frame is used to request the size of Transmission demand (TXOP) of each STA, and specify the RU range of each STA in the data feedback frame (DataResponse frame).
It should be noted that IEEE802.11ax proposes a new control frame Trigger, which carries RU resource allocation information and is used for an STA to perform uplink data transmission according to the allocated RU range. The new TriggerDataRequest frame is designed based on the existing Trigger frame format of IEEE802.11ax.
In the TriggerDataRequest frame, User Info field indicates allocation of RU resources, and each RU consists of 26 subcarriers. Each STA receives a Cache Request field as a Cache Request, and when the value of the bit is 1, each STA needs to count the size of the Cache data amount TXOP after receiving a TriggerDataRequest frame, and send a DataResponse frame after waiting for the time length of a Short Interframe Space (SIFS). Wherein a new DataResponse frame is designed based on the IEEE802.11 existing probe response frame format, and the frame format of the DataResponse frame is shown in fig. 5.
Where TXOP field represents the size of the transmission demand of the STA. Note that, in an Orthogonal Frequency Division Multiple Access (OFDMA) mode, STAs share the same channel and transmit a DataResponse frame in their respective RU ranges. In the prior art, since 802.11 does not support OFDMA mode, OFDMA is supported in 802.11ax, but there is no DataResponse frame in 802.11ax, and a transmission mode of DataResponse is not specified. Therefore, the DataResponse frame is transmitted in the OFDMA mode, and the advantages of the OFDMA mode and the advantages of 802.11ax are combined, so that the data transmission stability is good.
To explain the allocation of RUs and the exchange flow of data frames in OFDMA mode in more detail, as shown in fig. 6 and 7. Fig. 6 illustrates an example of a wireless network with a bandwidth range of 20MHz for 3 STAs, where the RU allocation resources corresponding to the 3 STAs are 106tone RUs 1, 52tone RUs 3, and 52tone RUs 4, respectively. Each User Info field in the Trigger frame represents a different STA, and the STA judges whether a Service Set Identifier (SSID) in the User Info field is matched with the SSID of the STA by parsing, so as to obtain the corresponding User Info field. The AP assigns an RU Allocation bit to an RU Allocation subfield in the User Info field in the Trigger frame, for example, the RU Allocation bit of RU1 in fig. 6 has a value of "0110101", by carrying the value of the index bit (RU Allocation bits) corresponding to the allocated resource. Different RU Allocation bits correspond to different ranges of subcarriers (Subcxr), the corresponding relation table is defined by IEEE802.11ax standard, and the STA can be acquired by the mode similar to dictionary query.
After each STA receives the TriggerDataRequest frame, the number of available data transmission time slots of the current EHCCA stage is obtained according to the Slot Counts field, and meanwhile, the frequency range of each STA in the OFMDA mode is determined according to the index value of the RU Allocation subfield in each User Info and the mapping relation between the index value and the frequency range in IEEE802.11 ax. Fig. 7 illustrates a typical data transmission situation between an AP and an STA, taking 3 STAs as an example, on the premise of the RU allocation information in fig. 6. After receiving the Trigger frame issued by the AP, the 3 STAs upload data in a data transmission time slot by using the same channel in different frequency ranges, and the AP returns an ACK/BA frame after the transmission time slot is finished.
The embodiment of the present application further provides an execution subject for executing the above steps, and the execution subject may be the big data wireless network transmission system 200 of the online education platform in fig. 8. Referring to fig. 8, the system includes:
a packet loss rate obtaining module 210, configured to obtain a packet loss rate of data transmission in a network, where the packet loss rate refers to a ratio of video data that is failed to be transmitted in a process of transmitting video data in the network;
the time slot adjusting module 220 is configured to dynamically adjust the number of retransmission time slots in the current beacon period according to the variation trend of the packet loss rate; the retransmission time slot number represents the number of times of information interaction in one data transmission process: the time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data which is not successfully transmitted;
and a transmission module 230, configured to transmit, according to the adjusted retransmission timeslot number, the video data that fails to be transmitted in the current beacon period.
Optionally, the system further includes:
an initialization module, which is used for system initialization, the wireless Access Point (AP) determines initial parameters during initialization, including the network bandwidth range, the current network transmission rate S (unit: Mbps), the number of subcarriers (usually 26) contained in a single channel RU (minimum unit of channel data transmission resource, described in ieee802.11ax document), the total number M of RU resources in the channel, the time length x (unit: second) of the contention stage in the beacon period, the time length y (unit: second) of the DF stage, and the time length t of a single data transmission time slot1(unit: second), transmission time slot time length t of control frame2(unit: second), waiting for a time length t of a Short Interframe Space (SIFS) interval3(unit: second), video frame rate f, and maximum length of beacon period 1/f (unit: second). Beacon period as shown in fig. 3, the length of the beacon period is variable in consideration of the real-time requirement, because the shorter beacon period facilitates the timely transmission of video data. The beacon period shown in fig. 3 is composed of at least 3 phases and an optional phase, which are a contention phase, a Data Feedback (DF) phase, an enhanced Controlled Channel Access (EHCCA) phase, and a Data Retransmission (DRT) phase. The method includes a contention stage, a DF stage and an EHCCA stage, where the DRT stage is optional if the packet loss rate is 0 and continuously decreases in the last beacon period, and the length may be 0. When the AP considers that the packet loss rate is low or the packet loss rate continues to decrease, the DRT stage may be 0, corresponding to the interference of the network environment being reduced.
With regard to the system in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
An electronic device is further provided in the embodiments of the present application, as shown in fig. 9, the electronic device at least includes a data interface 501 and a processor 502. The processor 502 performs data interaction with the memory system 600 through the data interface 501, and the specific processor 502 performs data interaction with a memory block in the memory system 600 through the data interface 501.
Optionally, as shown in fig. 9, the electronic device further includes a storage system 600. Similarly, the processor 502 interacts with the memory blocks in the memory system 600 through the data interface 501.
Optionally, the electronic device further comprises a memory 504, a computer program stored on the memory 504 and executable on the processor 502, the processor 502 when executing the program implementing the steps of any one of the methods of big data wireless network transmission of the online education platform described above.
The storage system 600 may be the memory 504, or may be different from the memory 504, or the storage system 600 may be a partial storage partition of the memory 504, or the memory 504 may be a certain storage block in the storage system 600.
Where in fig. 9 a bus architecture (represented by bus 500) is shown, bus 500 may include any number of interconnected buses and bridges, and bus 500 links together various circuits including one or more processors, represented by processor 502, and memory, represented by memory 504. The bus 500 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The processor 502 is responsible for managing the bus 500 and general processing, and the memory 504 may be used for storing data used by the processor 502 in performing operations.
Embodiments of the present application also provide a computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of any one of the methods of the big data wireless network transmission system of the online education platform described above.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. In addition, this application is not directed to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the present application as described herein, and any descriptions of specific languages are provided above to disclose the best modes of the present application.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Moreover, those skilled in the art will appreciate that while some embodiments herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
Various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in an apparatus according to embodiments of the present application. The present application may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present application may be stored on a computer readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (4)
1. A big data wireless network transmission method of an online education platform is characterized by comprising the following steps:
acquiring a data transmission packet loss rate in a network, wherein the packet loss rate refers to the proportion of video data with transmission failure in the process of transmitting the video data by the network;
dynamically adjusting the retransmission time slot number of the current beacon period according to the variation trend of the packet loss rate; the retransmission time slot number represents the number of times of information interaction in one data transmission process: the time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data which fails to be transmitted;
transmitting the video data which fails to be transmitted in the current beacon period according to the adjusted retransmission time slot number;
the dynamically adjusting the number of retransmission time slots of the current beacon period according to the packet loss rate includes:
if the packet loss rate is in an ascending trend and the retransmission time slot number of the last beacon period of the current beacon period is smaller than the threshold, determining that the retransmission time slot number of the current beacon period changes according to a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (1):
RSlot(n)＝2×RSlot(n-1) (1)；
wherein rslot (n) represents the number of retransmission slots of the current beacon period; the RSlot (n-1) represents the retransmission time slot number of the last beacon period of the current beacon period; n represents the number of the current beacon period; the time sequence of the last beacon period of the current beacon period is before the current beacon period and is adjacent to the time of the current beacon period; when n is 1, the value of RSlot (n-1) is 0;
if the packet loss rate is in an ascending trend and the number of retransmission time slots of the last beacon period of the current beacon period is greater than the threshold, determining that the number of retransmission time slots of the current beacon period changes in a linear manner, wherein the linear manner is determined according to the following formula (2):
RSlot(n)＝RSlot(n-1)+1 (2)；
if the packet loss rate is in a descending trend and the number of retransmission time slots of the previous beacon period of the current beacon period is smaller than a threshold value, determining that the number of retransmission time slots of the current beacon period changes in a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (3):
RSlot(n)＝RSlot(n-1)/2 (3)；
if the number of retransmission time slots RSlot (n-1) > RThread in the previous beacon period of the current beacon period, where RThread is a time slot threshold, the number of retransmission time slots in the current beacon period changes according to a one-level operation manner, that is:
RSlot (n) ═ RSlot (n-1) -1 (formula 5).
2. The method of claim 1, wherein if the calculated number of retransmission slots is non-integer, rounding up the non-integer number of retransmission slots to obtain an integer number of retransmission slots.
3. A big data wireless network transmission system of an online education platform, comprising:
the device comprises an obtaining packet loss rate module, a transmission failure rate module and a transmission failure rate module, wherein the obtaining packet loss rate module is used for obtaining the data transmission packet loss rate in a network, and the packet loss rate refers to the proportion of video data with transmission failure in the process of transmitting the video data by the network;
the time slot adjusting module is used for dynamically adjusting the retransmission time slot number of the current beacon period according to the change trend of the packet loss rate; the retransmission time slot number represents the number of times of information interaction in one data transmission process: the time length corresponding to the adjusted retransmission time slot number is suitable for transmitting the video data which is not successfully transmitted;
the transmission module is used for transmitting the video data which fails to be transmitted in the current beacon period according to the adjusted retransmission time slot number;
the dynamically adjusting the number of retransmission time slots of the current beacon period according to the packet loss rate includes:
if the packet loss rate is in an ascending trend and the retransmission time slot number of the last beacon period of the current beacon period is smaller than the threshold, determining that the retransmission time slot number of the current beacon period changes according to a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (1):
RSlot(n)＝2×RSlot(n-1) (1)；
wherein rslot (n) represents the number of retransmission slots of the current beacon period; the RSlot (n-1) represents the retransmission time slot number of the last beacon period of the current beacon period; n represents the number of the current beacon period; the time sequence of the last beacon period of the current beacon period is before the current beacon period and is adjacent to the time of the current beacon period; when n is 1, the value of RSlot (n-1) is 0;
if the packet loss rate is in an ascending trend and the number of retransmission time slots of the last beacon period of the current beacon period is greater than the threshold, determining that the number of retransmission time slots of the current beacon period changes in a linear manner, wherein the linear manner is determined according to the following formula (2):
RSlot(n)＝RSlot(n-1)+1 (2)；
if the packet loss rate is in a descending trend and the number of retransmission time slots of the previous beacon period of the current beacon period is smaller than a threshold value, determining that the number of retransmission time slots of the current beacon period changes in a secondary operation mode, wherein the secondary operation mode is determined according to the following formula (3):
RSlot(n)＝RSlot(n-1)/2 (3)；
if the number of retransmission time slots RSlot (n-1) > RThread in the previous beacon period of the current beacon period, where RThread is a time slot threshold, the number of retransmission time slots in the current beacon period changes according to a one-level operation manner, that is:
RSlot (n) ═ RSlot (n-1) -1 (formula 5).
4. The system according to claim 3, wherein if the calculated number of retransmission slots is non-integer, rounding up the non-integer number of retransmission slots to obtain an integer number of retransmission slots.
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