CN107734359B - Method for adaptively seizing resources of smart television in complex environment - Google Patents
Method for adaptively seizing resources of smart television in complex environment Download PDFInfo
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- CN107734359B CN107734359B CN201710910171.1A CN201710910171A CN107734359B CN 107734359 B CN107734359 B CN 107734359B CN 201710910171 A CN201710910171 A CN 201710910171A CN 107734359 B CN107734359 B CN 107734359B
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/238—Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
- H04N21/2385—Channel allocation; Bandwidth allocation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
- H04L43/0847—Transmission error
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
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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
- H04L47/2408—Traffic characterised by specific attributes, e.g. priority or QoS for supporting different services, e.g. a differentiated services [DiffServ] type of service
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
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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
- H04N21/61—Network physical structure; Signal processing
- H04N21/6106—Network physical structure; Signal processing specially adapted to the downstream path of the transmission network
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Environmental & Geological Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a method for adaptively seizing resources of an intelligent television in a complex environment, which is characterized in that parameters for evaluating the complexity of a network environment are counted in real time in Firmware; setting different threshold value groups for each parameter, setting different EDCA parameters for each threshold value group, wherein the EDCA parameters corresponding to each threshold value group are empirical values; when a data packet is sent, selecting a default best effort service for service, and judging whether each parameter is in a set of different thresholds one by one. The invention not only enhances the ability of the intelligent television to seize the network resources, but also improves the speed of the wireless network of the intelligent television in a complex environment, thereby improving the network smoothness and the throughput.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a method for adaptively preempting resources of an intelligent television in a complex environment.
Background
The Institute of Electrical and Electronics Engineers (IEEE), collectively known as Institute of Electrical and electronics Engineers, proposed an 802.11e standard that defines quality-of-service (QoS) for wireless local area networks;
in the 802.11e standard, four access types are defined, namely AC _ bk (background traffic), AC _ be (best instant traffic), AC _ vi (video traffic), and AC _ vo (voice traffic), each access type specifying a corresponding enhanced Distributed channel access edca (enhanced Distributed channel access) parameter to support QoS, including: CWmin-minimum contention window, CWmax-maximum contention window, TXOP-transmit opportunity limit, AIFS-arbitration inter-frame space.
The current smart tv, especially the smart tv with only 1T1R (one antenna is responsible for receiving and transmitting signals) antenna, has the following problems:
WiFi generally works in a 2.4GHz public frequency band and is easily interfered by other equipment in the same frequency band; moreover, as more and more home network devices (such as mobile phones, notebook computers, etc.) are provided, more and more APs (wireless access points) are provided in the environment, and more network devices compete for limited bandwidth resources in the user's home at the same time.
The current wireless WiFi access mode is shown in fig. 1, although traffic prioritized services have been supported over the protocol. At the user end, the service priority service is realized according to the protocol completely, so that basically all equipment manufacturers do not have priority differentiation on different services, when data needs to be sent, the data can be sent only by providing the service which is regarded as best-effort service, and then the best-effort default competition parameter is used for obtaining the channel use right to send the data. This leads to that services with higher real-time requirements (such as services like network video and voice on a television) cannot provide better bandwidth delay guarantee, and once the external environment is complex, phenomena such as buffering, blocking and even no network service may occur, which seriously affects user experience.
Disclosure of Invention
The invention aims to solve or relieve the problems that when a plurality of network devices are used simultaneously, a network television is not smooth, a game card is stopped or a network video card is played.
Therefore, the invention provides a method for adaptively preempting resources of an intelligent television in a complex environment, which comprises the following steps:
step 1: the method comprises the following steps of carrying out real-time statistics on parameters for judging the complexity degree of a network environment in Firmware, wherein the parameters comprise: total False detected noise (interference) in one second, packet error rate Per and total ApNum of current environment AP;
step 2: setting different threshold value groups for each parameter, setting different EDCA parameters for each threshold value group, wherein the EDCA parameters corresponding to each threshold value group are empirical values;
and step 3: when a data packet is sent, selecting a default best effort service for service, and judging whether each parameter is in a threshold set by each parameter one by one;
and 4, step 4: if the parameter is in a certain set threshold value group, adjusting the parameter to be the EDCA parameter corresponding to the certain set threshold value group in which the parameter is positioned, and obtaining the use right of the channel by using the optimized competitive parameter; if the parameters are not in a certain set threshold value group, acquiring the channel use right by using the best-effort default competition parameters;
and 5: and finally, the intelligent television acquires the channel use right to send data by adopting the current competition parameters.
The invention detects the environment condition of the external network at any time through the set parameter for judging the environment complexity, adaptively adjusts the parameter of the current competition network resource according to the environment complexity and improves the network fluency.
Preferably, the threshold set range is: false ranges > 400, Per ranges > 10%, and ApNum ranges > 10.
In an embodiment, in order to quickly identify the complexity of the network environment, the network environment complexity is grouped as follows, where the threshold group range is:
threshold set 1: (400 < Fluse < 1000) & (10% < Per < 15%) & (10 < ApNum < 15) indicating a complex environment;
threshold set 2: (1000 < Fluse < 1500) & (15% < Per < 20%) & (15 < ApNum < 30) indicating that the environment is complicated;
set of thresholds 3: (Fluse > 1500) & (Per > 20%) & (ApNum > 30) indicating that the environment is complicated.
Preferably, in the EDCA parameter, a contention window corresponding to the threshold set 1 is in a range of [4,6], an idle time range is in a range of [4,8], and a transmission opportunity range is in a range of [192,255 ]; the contention window range corresponding to threshold set 2 is [2,4], the idle time range is [2,6], the transmission opportunity range is [96,192 ]; the range of the contention window corresponding to the threshold set 3 is [2,4], the idle time range is [1,4], the transmission opportunity range is [48,192], it should be noted that the EDCA parameter set by each threshold set is different, and needs to be within the set range, otherwise, it is invalid.
The invention has the beneficial effects that: compared with the prior art, the method has the advantages that the capacity of the intelligent television for occupying network resources is enhanced, the speed of a wireless network of the intelligent television in a complex environment is increased, the network smoothness is improved, and the throughput is improved. When the network environment is complex (such as a plurality of interference sources, a plurality of APs, a plurality of network devices and the like), the times of playing the network video by the intelligent television are obviously reduced or not clamped, the buffering speed is accelerated, the smoothness of the TV version game is improved, and the interface loading speed is improved.
Drawings
FIG. 1 is a flow chart of WiFi data transmission according to the prior art;
fig. 2 is a flow chart of WiFi data transmission when the method for adaptively preempting resources by a smart television in a complex environment of the present invention is used.
Detailed Description
Embodiments of the present invention are designed in accordance with the principles of the present invention, which is further described below in conjunction with the drawings and the following detailed description.
As shown in fig. 2, a WiFi data transmission flowchart of a method for adaptively preempting resources by a smart television in a complex environment is a method for adaptively preempting resources by a smart television in a complex environment according to this embodiment. The method comprises the following steps:
s1: carrying out real-time statistics on parameters for judging the complexity of the network environment in Firmware, wherein the parameters comprise: the total False of detected noise in one second, the packet error rate Per and the total ApNum of the current environment AP;
s2: setting different threshold value groups for each parameter, setting different EDCA parameters for each threshold value group, wherein the EDCA parameters corresponding to each threshold value group are empirical values;
s3: when a data packet is sent, selecting a default best effort service for service, and judging whether each parameter is in a set of different threshold values one by one;
s4: if the parameter is in a certain threshold group with different settings, the EDCA parameter corresponding to the certain threshold group in which the parameter is located is adjusted to obtain the channel use right by the optimized competitive parameter; if the parameters are not in a certain threshold group with different settings, acquiring the channel use right by using the best-effort default competition parameters;
s5: and finally, the intelligent television acquires the channel use right to send data by adopting the current competition parameters.
In a preferred embodiment, the threshold set range is: false ranges > 400, Per ranges > 10%, and ApNum ranges > 10.
In a preferred embodiment, the threshold set range is:
threshold set 1: (400 < Fluse < 1000) & (10% < Per < 15%) & (10 < ApNum < 15) indicating a complex environment;
threshold set 2: (1000 < Fluse < 1500) & (15% < Per < 20%) & (15 < ApNum < 30) indicating that the environment is complicated;
set of thresholds 3: (Fluse > 1500) & (Per > 20%) & (ApNum > 30) indicating that the environment is complicated.
In the preferred embodiment, in the EDCA parameter, the contention window corresponding to threshold set 1 is [4,6], the idle time range is [4,8], and the transmission opportunity range is [192,255 ]; the contention window range corresponding to threshold set 2 is [2,4], the idle time range is [2,6], the transmission opportunity range is [96,192 ]; the contention window for threshold set 3 is in the range of [2,4], the idle time range is in the range of [1,4], and the transmission opportunity range is in the range of [48,192 ].
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (2)
1. A method for adaptively preempting resources of an intelligent television in a complex environment is characterized by comprising the following steps:
step 1: carrying out real-time statistics on parameters for judging the complexity of the network environment in Firmware, wherein the parameters comprise: the total False of detected noise in one second, the packet error rate Per and the total ApNum of the current environment AP;
step 2: setting different threshold value groups for each parameter, setting different EDCA parameters for each threshold value group, wherein the EDCA parameters corresponding to each threshold value group are empirical values;
the threshold set range is:
threshold set 1: (400 < False < 1000) & (10% < Per < 15%) & (10 < ApNum < 15) indicating a complex environment;
threshold set 2: (1000 < False < 1500) & (15% < Per < 20%) & (15 < ApNum < 30) indicating that the environment is complex;
set of thresholds 3: (False > 1500) & (Per > 20%) & (ApNum > 30) indicating that the environment is complex;
and step 3: when a data packet is sent, selecting a default best effort service for service, and judging whether each parameter is in a set of different threshold values one by one;
and 4, step 4: if the parameter is in a certain threshold group with different settings, the EDCA parameter corresponding to the certain threshold group in which the parameter is located is adjusted to obtain the channel use right by the optimized competitive parameter; if the parameters are not in a certain threshold group with different settings, acquiring the channel use right by using the best-effort default competition parameters;
and 5: and finally, the intelligent television acquires the channel use right to send data by adopting the current competition parameters.
2. The method for resource preemption by a smart tv adaptively in a complex environment according to claim 1, wherein in the EDCA parameters, the contention window range corresponding to threshold 1 is [4,6], the idle time range is [4,8], and the transmission opportunity range is [192,255 ]; the contention window range corresponding to threshold set 2 is [2,4], the idle time range is [2,6], the transmission opportunity range is [96,192 ]; the contention window for threshold set 3 is in the range of [2,4], the idle time range is in the range of [1,4], and the transmission opportunity range is in the range of [48,192 ].
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CN1885808A (en) * | 2005-06-24 | 2006-12-27 | 三星电子株式会社 | Apparatus and method for providing enhanced wireless communication |
CN103220726A (en) * | 2013-04-08 | 2013-07-24 | 福建星网锐捷网络有限公司 | Dynamic adjustment method of EDCA (Enhanced Distributed Channel Access) parameter values and related device |
CN104917744A (en) * | 2014-03-13 | 2015-09-16 | 苹果公司 | EDCA operation to improve VoIP performance in a dense network |
CN105453686A (en) * | 2013-08-04 | 2016-03-30 | Lg电子株式会社 | Method and apparatus for accessing channel |
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WO2011102897A1 (en) * | 2010-02-16 | 2011-08-25 | Thomson Licensing | Method and apparatus for using 802.11 wlans in tv white space |
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CN1885808A (en) * | 2005-06-24 | 2006-12-27 | 三星电子株式会社 | Apparatus and method for providing enhanced wireless communication |
CN103220726A (en) * | 2013-04-08 | 2013-07-24 | 福建星网锐捷网络有限公司 | Dynamic adjustment method of EDCA (Enhanced Distributed Channel Access) parameter values and related device |
CN105453686A (en) * | 2013-08-04 | 2016-03-30 | Lg电子株式会社 | Method and apparatus for accessing channel |
CN104917744A (en) * | 2014-03-13 | 2015-09-16 | 苹果公司 | EDCA operation to improve VoIP performance in a dense network |
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