CN108353000A

CN108353000A - Quality of experience information acquisition method, equipment and system

Info

Publication number: CN108353000A
Application number: CN201580084119.4A
Authority: CN
Inventors: 石娴文; 巢志骏; 高慧; 张劲林
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2015-11-30
Filing date: 2015-11-30
Publication date: 2018-07-31
Also published as: WO2017091961A1

Abstract

An embodiment of the present invention provides a kind of Quality of experience information acquisition method, equipment and systems, are related to the communications field, the method includes：When the video traffic that access network equipment is determined as terminal dispatches data, the video code rate of the scheduling data volume of the video traffic of the terminal and the video traffic of the terminal is obtained；The QoE information of the video traffic of the terminal is determined according to the scheduling data volume and the video code rate.The present invention solves in the processing procedure of video traffic, the problem of being easy to consume the more communication resource.It realizes in the processing procedure of video traffic, reduces the advantageous effect of the consumption of the communication resource.The present invention is used for the acquisition of Quality of experience information.

Description

Experience quality information acquisition method, equipment and system

Technical Field

The present invention relates to the field of communications, and in particular, to a method, device, and system for acquiring quality of experience information.

Background

With the development of mobile networks, more and more users watch videos through terminals, and access network equipment needs to reasonably allocate resources for video services of the users to ensure smooth playing of the videos.

In the related art, it is assumed that a terminal can detect related information of a video in a video playing component of a system of the terminal itself or an installed application, generate quality of experience (QoE) information, report the QoE information to a management network element (e.g., a core network server or a network server), and forward the QoE information to an access network device, where the access network device performs related processing on a video service of the terminal according to the QoE information, for example, schedules wireless resources for the video service according to the QoE information. The scheduling refers to that the access network device allocates a radio resource to the terminal to transmit data.

However, in order to ensure the effectiveness of the QoE information, the terminal may often report a signaling carrying the current QoE information, thereby consuming more air interface resources, and thus easily consuming more communication resources in the processing process of the video service.

Disclosure of Invention

In order to solve the problem that more communication resources are easily consumed in the processing process of video services, the invention provides a method, equipment and a system for acquiring experience quality information. The technical scheme is as follows:

in a first aspect, an embodiment of the present invention provides a method for acquiring quality of experience QoE information, including:

when the access network equipment determines that the video service scheduling data of the terminal is obtained, acquiring the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal;

and determining QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.

Optionally, after determining QoE information of the video service of the terminal according to the scheduling data amount and the video code rate, the method further includes:

adjusting the scheduling priority of the video service of the terminal according to the QoE information;

and scheduling data for the video service of the terminal according to the adjusted scheduling priority.

Optionally, the QoE information includes a video playing status of the terminal and a generation time of the video playing status.

Optionally, the adjusting the scheduling priority of the video service of the terminal according to the QoE information includes:

calculating the average subjective MOS of the video service of the terminal according to the QoE information;

and adjusting the scheduling priority of the video service of the terminal according to the MOS, wherein the numerical value of the MOS is negatively related to the scheduling priority of the video service.

Optionally, the determining QoE information of the video service of the terminal according to the scheduling data amount and the video code rate includes:

carrying out redundancy processing on the video code rate to obtain a code rate estimated value, wherein the code rate estimated value is greater than the video code rate;

and determining QoE information of the video service of the terminal according to the scheduling data volume and the code rate estimation value.

Optionally, the determining the video service scheduling priority of the terminal according to the estimated QoE information includes:

receiving QoE information sent by the terminal;

updating the estimated QoE information by adopting the QoE information sent by the terminal to obtain updated QoE information, wherein the QoE information sent by the terminal and the estimated QoE information contain the same parameters;

and determining the video service scheduling priority of the terminal according to the updated QoE information.

Optionally, the receiving QoE information sent by the terminal includes:

receiving QoE information sent by the terminal through a communication interface established between the terminal and the base station controller;

or receiving QoE information forwarded by a management network element, where the QoE information is generated by the terminal and sent to the management network element.

Optionally, the QoE information sent by the terminal is reported periodically, and the reporting period is 200 milliseconds or 1 second.

Optionally, the video playing status of the terminal includes: the playing state types of the current playing state comprise an initial cache state, a normal playing state, an interruption cache state and a playing ending state.

when the QoE information indicates that the current playing state is an initial cache state, or the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is not greater than a preset minimum threshold of cache time length, adjusting the scheduling priority to be a first priority, wherein the video pre-cache playing time length is the time length of the data cached by the terminal for maintaining playing;

when the QoE information indicates that the current playing state is an interrupted cache state, adjusting the scheduling priority to a second priority;

when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is between the preset minimum threshold value of cache time length and the preset maximum threshold value of cache time length, adjusting the scheduling priority according to the QoE information and the channel state information of the terminal at the current moment;

and when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is greater than the preset maximum cache time length threshold, adjusting the scheduling priority to be a third priority, wherein the first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to a preset minimum priority.

Optionally, the adjusting the scheduling priority according to the QoE information and the channel state information of the terminal at the current time includes:

judging whether the terminal is in a moving state;

when the terminal is in a mobile state, acquiring channel state information of the terminal at the current moment;

judging whether the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state or not;

and when the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state, adjusting the scheduling priority according to the video pre-cache playing time indicated by the QoE information and the channel large-scale fluctuation level of the terminal.

Optionally, the adjusting the scheduling priority according to the video pre-cache playing duration indicated by the QoE information and the channel large-scale fluctuation level of the terminal includes:

determining a priority adjustment factor Q by adopting an adjustment factor calculation formula according to the video pre-cache playing time T indicated by the QoE information and the channel state information at the current moment;

taking the product of the priority adjustment factor Q and the basic scheduling priority of the preset video service as the scheduling priority, wherein the basic scheduling priority of the preset video service is allocated to the terminal by the basic scheduler of the access network equipment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

the buffer memory time length A is a preset maximum buffer memory time length threshold, the buffer memory time length R is a constant which is determined according to the current channel state information and reflects the large-scale fluctuation level of the channel of the terminal, and the R is positively correlated with the good degree of the channel state.

Optionally, the determining whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state includes:

when the SINR of the channel is greater than or equal to the sum of the signal-to-interference-plus-noise ratio (SINR) of the channel indicated by the channel state information at the current moment, the historical average SINR of the channel and a preset first cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

and when the SINR of the channel is smaller than or equal to the difference between the historical average SINR of the channel and a preset second cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

when the SINR of the channel indicated by the channel state information at the current moment is greater than a preset good area threshold, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

and when the SINR of the channel indicated by the channel state information at the current moment is smaller than a preset severe region threshold value, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

determining the scheduling data volume TxTbSize (n) scheduled by the access network equipment at the nth time according to the QoE information;

determining the instantaneous rate r (n) of video service transmission of the terminal at the nth moment according to the channel state information reported by the terminal;

calculating the historical average rate R (n) of the video service of the terminal at the nth moment according to a historical average rate calculation formula and the scheduling data amount TxTbSize (n) scheduled by the access network equipment at the nth moment, wherein the historical average rate calculation formula is as follows:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

calculating the scheduling priority P (n) of the video service of the terminal at the nth moment according to a proportional fair PF scheduling priority formula, the historical average rate R (n) of the video service of the terminal at the nth moment and the instantaneous rate r (n) of the video service transmission of the terminal at the nth moment, wherein the PF scheduling priority formula is as follows:

wherein α is a filter coefficient set for the video service of the terminal by adopting an alpha filter algorithm, R (n-1) is a historical average rate of the video service of the terminal at the n-1 th moment, n is greater than or equal to 1, and when n is equal to 1, R (n-1) is a preset value.

Optionally, the scheduling priority of the video service of the terminal is equal to a product of a priority adjustment factor and a preset basic scheduling priority of the video service, the scheduling priority is adjusted by adjusting the priority adjustment factor, and the preset basic scheduling priority of the video service is allocated to the terminal by the basic scheduler of the access network device.

Optionally, the determining QoE information of the video service of the terminal according to the scheduling data amount and the video bitrate includes:

when a Radio Link Control (RLC) buffer on the access network equipment starts to schedule data for the video service of the terminal, determining that the video playing state is an initial buffering state, and recording the generation time of the initial buffering state;

after the initial cache state is started, determining whether the video pre-cache playing time length is greater than a preset initial cache time length threshold value according to the scheduling data amount;

when the video pre-cache playing time length is larger than a preset initial cache time length threshold value, determining that the video playing state is a first normal playing state, and recording the generation moment of the first normal playing state;

after the first normal playing state is started, determining whether the data cached in a video cache region of the terminal is exhausted according to the scheduling data volume and the video code rate;

when the data cached in the video cache region of the terminal is exhausted, determining that the video playing state is an interrupted cache state, and recording the generation moment of the interrupted cache state;

after the interruption cache state starts, determining whether the video pre-cache playing time length is greater than a preset interruption cache time length threshold value according to the scheduling data volume and the video code rate;

when the video pre-cache playing time length is greater than a preset interruption cache time length threshold value, determining that the video playing state is a normal playing state again, and recording the generation moment of the normal playing state again;

when the playing time corresponding to the data volume in the RLC buffer is 0 and the video pre-buffer playing time is equal to 0, determining that the video playing state is a playing ending state, and recording the generation moment of the playing ending state;

and generating the QoE information according to the video playing state and the generation time of the video playing state.

Optionally, the determining whether the video pre-cache playing time length is greater than a preset initial cache time length threshold according to the scheduling data amount includes:

determining the scheduling data volume from the generation time of the initial cache state to the current time according to the scheduling data volume;

taking the scheduling data volume from the generation time of the initial cache state to the current time as the pre-cache data volume of the current time;

determining the video pre-cache playing time length of the current moment according to the pre-cache data volume of the current moment;

and judging whether the video pre-cache playing time at the current moment is greater than a preset initial cache time threshold.

Optionally, the determining whether the data cached in the video cache region of the terminal is exhausted according to the scheduling data amount and the video code rate includes:

determining the scheduling data amount y from the generation time of the first normal playing state to the current time according to the scheduling data amount,

determining the pre-cache data volume x of the generation moment of the first normal playing state;

determining a data volume z played by the terminal from the generation time of the first normal playing state to the current time according to the video code rate m, wherein z is m x t, and t is the duration from the generation time of the first normal playing state to the current time;

determining a pre-cache data amount u at the current moment, wherein the u is x + y-z;

when the pre-cache data volume at the current moment is 0, determining that the data cached in the video cache region of the terminal is exhausted;

and when the pre-cached data amount at the current moment is larger than 0, determining that the data cached in the video cache region of the terminal is not exhausted.

Optionally, the QoE information is obtained periodically with 1 transmission time interval TTI as a determination period; the resources of the video service are periodically scheduled by taking 1TTI as a scheduling period;

the scheduling data for the video service of the terminal according to the adjusted scheduling priority includes:

and scheduling data for the video service of the terminal according to the scheduling priority of the current scheduling period, wherein the scheduling priority of the current scheduling period is determined according to the QoE information determined by the current determination period.

Optionally, the method further includes:

and when the terminal is detected to be switched among the cells, sending the estimated QoE information to a base station controller for managing a target cell through an X2 interface, wherein the target cell is a cell to which the terminal is switched.

calculating the average subjective score MOS of the video service of the terminal according to the QoE information, wherein the QoE information comprises: the method comprises the following steps of video pre-cache playing time, initial cache time delay, average interruption time and interruption times, wherein the video pre-cache playing time is the time for maintaining playing of data cached by a terminal, the initial cache time delay is the time delay from the generation time of an initial cache state to the generation time of a first normal playing state, the average interruption time is the average value of the interruption time of the terminal in a preset time period, and the interruption times are the times for generating the interruption cache state in the preset time period.

In a second aspect, an embodiment of the present invention provides an access network device, including:

the access network equipment comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal when the access network equipment determines to be the video service scheduling data of the terminal;

and the determining unit is used for determining QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.

Optionally, the apparatus further comprises:

an adjusting unit, configured to adjust a scheduling priority of the video service of the terminal according to the QoE information;

and the scheduling unit is used for scheduling data for the video service of the terminal according to the adjusted scheduling priority.

Optionally, the scheduling unit is configured to:

Optionally, the determining unit is configured to:

Optionally, the adjusting unit includes:

a first adjusting subunit, configured to adjust the scheduling priority to a first priority when the QoE information indicates that the current playing state is an initial cache state, or the QoE information indicates that the current playing state is a normal playing state and a video pre-cache playing duration is not greater than a preset minimum threshold of cache duration, where the video pre-cache playing duration is a duration maintained for playing data cached by a terminal;

a second adjusting subunit, configured to adjust the scheduling priority to a second priority when the QoE information indicates that the current playing status is an interrupted cache status;

a third adjusting subunit, configured to adjust the scheduling priority according to the QoE information and the channel state information of the terminal at the current time when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time is between the preset minimum threshold of cache time and the preset maximum threshold of cache time;

a fourth adjusting subunit, configured to adjust the scheduling priority to a third priority when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing duration is greater than the preset maximum threshold of cache duration, where the first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to a preset minimum priority.

Optionally, the third adjusting subunit includes:

the first judging subunit is used for judging whether the terminal is in a moving state;

the acquiring subunit is used for acquiring the channel state information of the terminal at the current moment when the terminal is in a moving state;

the second judging subunit is configured to judge whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state;

and the priority adjusting subunit is configured to adjust the scheduling priority according to the video pre-cache playing duration indicated by the QoE information and the channel large-scale fluctuation level of the terminal, where the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state.

Optionally, the priority adjusting subunit is configured to:

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the second determining subunit is configured to:

Optionally, the third adjusting subunit is configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

Optionally, the normal play state includes a first normal play state and a second normal play state, and the determining unit includes:

a first determining subunit, configured to determine that the video playing state is an initial buffering state when a RLC buffer on the access network device starts to schedule data for a video service of the terminal, and record a generation time of the initial buffering state;

the second determining subunit is configured to determine, after the initial cache state starts, whether a video pre-cache playing time length is greater than a preset initial cache time length threshold according to the scheduling data amount;

the third determining subunit is used for determining that the video playing state is a first normal playing state when the video pre-cache playing time length is greater than a preset initial cache time length threshold value, and recording the generation time of the first normal playing state;

a fourth determining subunit, configured to determine, after the first normal play state starts, whether data cached in a video cache region of the terminal is exhausted according to the scheduling data amount and the video code rate;

a fifth determining subunit, configured to determine that the video playing state is an interrupted cache state when data cached in a video cache region of the terminal is exhausted, and record a generation time of the interrupted cache state;

a sixth determining subunit, configured to determine, after the interruption buffer state starts, whether a video pre-buffer playing duration is greater than a preset interruption buffer duration threshold according to the scheduling data amount and the video code rate;

a seventh determining subunit, configured to determine that the video playing state is a normal playing state again when the video pre-cache playing time length is greater than a preset interrupt cache time length threshold, and record a generation time of the normal playing state again;

an eighth determining subunit, configured to determine that the video playing state is a playing ending state when a playing time corresponding to the data amount in the RLC buffer is 0 and a video pre-buffer playing time is equal to 0, and record a generation time of the playing ending state;

and the generation subunit is used for generating the QoE information according to the video playing state and the generation time of the video playing state.

Optionally, the second determining subunit is configured to:

Optionally, the fourth determining subunit is configured to:

the scheduling unit is configured to:

Optionally, the apparatus further comprises:

a calculating unit, configured to calculate an average subjective score MOS of the video service of the terminal according to the QoE information, where the QoE information includes: the method comprises the following steps of video pre-cache playing time, initial cache time delay, average interruption time and interruption times, wherein the video pre-cache playing time is the time for maintaining playing of data cached by a terminal, the initial cache time delay is the time delay from the generation time of an initial cache state to the generation time of a first normal playing state, the average interruption time is the average value of the interruption time of the terminal in a preset time period, and the interruption times are the times for generating the interruption cache state in the preset time period.

In a third aspect, an embodiment of the present invention provides a method for acquiring quality of experience QoE information, including:

generating QoE information, wherein the QoE information comprises a video playing state of the terminal and the generation time of the video playing state, the QoE information comprises the same parameters as the QoE information determined by access network equipment, and the QoE information determined by the access network equipment is determined by the access network equipment according to the scheduling data volume of data scheduled for the video service of the terminal and the video code rate of the terminal;

and sending the QoE information to the access network equipment so that the access network equipment updates the QoE information determined by the access network equipment by adopting the QoE information sent by the terminal to obtain the updated QoE information.

Optionally, the sending the QoE information to the access network device includes:

transmitting the QoE information through a communication interface established between the terminal and the access network equipment;

or sending the QoE information to a management network element, so that the management network element forwards the QoE information to the access network device.

periodically sending QoE information to the access network equipment by taking 200 milliseconds or 1 second as a reporting period

In practical applications, the access network device may determine the QoE information with 1TTI as a determination period, and the QoE information sent by the terminal is reported periodically, the period for sending the QoE information by the terminal may be configured loosely, and the reporting period may be 200ms (milliseconds) or 1s (seconds), which is much longer than the determination period of the access network device. Therefore, the terminal is ensured to send less signaling carrying QoE information, and certain correction can be carried out on errors generated by the QoE information determined by the access network equipment.

In a fourth aspect, an embodiment of the present invention provides a terminal, including:

a generating unit, configured to generate QoE information, where the QoE information includes a video playing status of the terminal and a generation time of the video playing status, and the QoE information is the same as a parameter included in QoE information determined by an access network device, and the QoE information determined by the access network device is determined by the access network device according to a scheduling data amount of data scheduled for a video service of the terminal and a video bitrate of the terminal;

a sending unit, configured to send the QoE information to the access network device, so that the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal, to obtain updated QoE information.

Optionally, the sending unit is configured to:

In a fifth aspect, an embodiment of the present invention provides a quality of experience information obtaining system, including the access network device according to any one of the second aspects, and at least one terminal. The terminal may be the terminal of any of the fourth aspect.

In a sixth aspect, an embodiment of the present invention provides a video scheduling method, including:

judging whether the terminal is in a moving state;

adjusting the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current moment;

Optionally, the adjusting the scheduling priority according to the channel state information of the terminal at the current time includes:

and when the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state, adjusting the scheduling priority according to the channel state information at the current moment of the terminal.

acquiring the video pre-cache playing time T at the current moment;

determining a priority adjustment factor Q by adopting an adjustment factor calculation formula according to the video pre-cache playing time T and the channel state information at the current moment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

the method comprises the steps that A is a preset maximum threshold of the cache duration, R is a constant which is determined according to the channel state information at the current moment and reflects the large-scale fluctuation level of a channel of a terminal, and the good degree of the R and the channel state is positively correlated.

determining the scheduling data amount TxTbSize (n) scheduled by the access network equipment at the nth time;

calculating the historical average rate R (n) of the video service of the terminal at the nth moment according to a historical average rate calculation formula and the data volume TxTbSize (n) acquired by the terminal at the nth moment, wherein the historical average rate calculation formula is as follows:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

calculating the scheduling priority P (n) at the nth moment according to a proportional fair PF scheduling priority formula, the historical average rate R (n) of the video service of the terminal at the nth moment and the instantaneous rate r (n) of the video service transmission of the terminal at the nth moment, wherein the PF scheduling priority formula is as follows:

In a seventh aspect, an embodiment of the present invention provides an access network device, including:

the judging unit is used for judging whether the terminal is in a moving state;

an obtaining unit, configured to obtain channel state information of the terminal at a current time when the terminal is in a mobile state;

the adjusting unit is used for adjusting the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current moment;

Optionally, the adjusting unit includes:

a judging subunit, configured to judge whether a channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state;

and the adjusting subunit is configured to adjust the scheduling priority according to the channel state information of the terminal at the current time when the channel state indicated by the channel state information of the current time is a large-scale channel fluctuation state.

Optionally, the adjusting subunit is configured to:

acquiring the video pre-cache playing time T at the current moment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the determining subunit is configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

In an eighth aspect, an embodiment of the present invention provides a video scheduling system, including the access network device described in any of the seventh aspects, and at least one terminal.

In a ninth aspect, an embodiment of the present invention provides an access network device, where the access network device includes:

the processor is used for acquiring the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal when the access network equipment determines to be the video service scheduling data of the terminal;

and the processor is also used for determining QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.

Optionally, the processor is further configured to:

Optionally, the access network device further includes: the receiver is provided with a receiver and a control unit,

the receiver is used for receiving QoE information sent by the terminal;

the processor is further configured to:

Optionally, the receiver is configured to:

Optionally, the processor is further configured to:

judging whether the terminal is in a moving state;

Optionally, the processor is further configured to:

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the processor is further configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

Optionally, the normal play state includes a first normal play state and a second normal play state, and the processor is further configured to:

Optionally, the processor is further configured to:

the processor is further configured to: and scheduling data for the video service of the terminal according to the scheduling priority of the current scheduling period, wherein the scheduling priority of the current scheduling period is determined according to the QoE information determined by the current determination period.

Optionally, the processor is further configured to:

In a tenth aspect, an embodiment of the present invention provides a terminal, including:

a processor, configured to generate QoE information, where the QoE information includes a video playing status of the terminal and a generation time of the video playing status, and the QoE information is the same as a parameter included in QoE information determined by an access network device, and the QoE information determined by the access network device is determined by the access network device according to a scheduling data amount of data scheduled for a video service of the terminal and a video bitrate of the terminal;

a transmitter, configured to send the QoE information to the access network device, so that the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal, to obtain updated QoE information.

Optionally, the transmitter is configured to:

In an eleventh aspect, an embodiment of the present invention provides a quality of experience information acquiring system, including the access network device according to any one of the ninth aspects, and at least one terminal. The terminal may be a terminal as described in any of the tenth aspect.

In a twelfth aspect, an embodiment of the present invention provides an access network device, including: a processor to:

judging whether the terminal is in a moving state;

Optionally, the processor is further configured to:

acquiring the video pre-cache playing time T at the current moment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the processor is further configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

In a thirteenth aspect, an embodiment of the present invention provides a video scheduling system, including the access network device according to any one of the twelfth aspects, and at least one terminal.

It should be noted that "x" and "x" in the formula provided in the embodiment of the present invention both represent multiplication.

The technical scheme provided by the invention has the beneficial effects that:

according to the experience quality information obtaining method, the equipment and the system provided by the embodiment of the invention, because the access network equipment can determine the QoE information of the video service according to the scheduling data volume of the data scheduled for the video service of the terminal and the video code rate of the terminal, the terminal does not need to report through signaling, and the waste of air interface resources is effectively reduced, so that the consumption of communication resources is reduced in the processing process of the video service.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is an environmental structure diagram of a video scheduling system according to a method for acquiring quality of experience information according to an exemplary embodiment of the present invention.

Fig. 2 is a flowchart of a method for acquiring quality of experience information according to an exemplary embodiment of the present invention.

Fig. 3 is a flowchart of another method for acquiring quality of experience information according to an exemplary embodiment of the present invention.

Fig. 4 is a flowchart of a video scheduling method according to an exemplary embodiment of the present invention.

Fig. 5-1 is a flowchart of another method for acquiring quality of experience information according to an exemplary embodiment of the present invention.

Fig. 5-2 is a schematic view of a change in playing status of a video according to an exemplary embodiment of the present invention.

Fig. 5-3 are schematic diagrams of a channel state region partition according to an exemplary embodiment of the present invention.

Fig. 5-4 are schematic diagrams of an architecture of a video scheduling system according to an exemplary embodiment of the present invention.

Fig. 5-5 are schematic diagrams of an architecture of another video scheduling system according to an exemplary embodiment of the present invention.

Fig. 5 to 6 are flowcharts of a method for an access network device to adjust a scheduling priority of a video service of a terminal according to QoE information according to an exemplary embodiment of the present invention.

Fig. 5-7 are schematic diagrams of an architecture of another video scheduling system according to an exemplary embodiment of the present invention.

Fig. 5-8 are schematic diagrams of an architecture of another video scheduling system according to an exemplary embodiment of the present invention.

Fig. 5-9 are schematic diagrams of a cell handover method according to an exemplary embodiment of the present invention.

Fig. 5 to 10 are initial buffering delay CDF curves of a video terminal according to an exemplary embodiment of the present invention.

Fig. 5 to 11 are graphs of average interrupt time CDF of a video terminal according to an exemplary embodiment of the present invention.

Fig. 5-12 are graphs of the percent katon CDF of a video terminal according to an exemplary embodiment of the present invention.

Fig. 5-13 are video average main division CDF curves of a video terminal according to an exemplary embodiment of the present invention.

Fig. 6 is a flowchart of another video scheduling method according to an exemplary embodiment of the present invention.

Fig. 7-1 is a schematic structural diagram of an access network device according to an exemplary embodiment of the present invention.

Fig. 7-2 is a schematic structural diagram of another access network device according to an exemplary embodiment of the present invention.

Fig. 7-3 is a schematic structural diagram of an adjusting unit according to an exemplary embodiment of the present invention.

Fig. 7-4 are schematic structural diagrams of a third adjusting subunit according to an exemplary embodiment of the present invention.

Fig. 7-5 are schematic structural diagrams of a determination unit according to an exemplary embodiment of the present invention.

Fig. 7-6 are schematic structural diagrams of still another access network device according to an exemplary embodiment of the present invention.

Fig. 8 is a schematic structural diagram of a terminal according to an exemplary embodiment of the present invention.

Fig. 9-1 is a schematic structural diagram of an access network device according to another exemplary embodiment of the present invention.

Fig. 9-2 is a schematic structural diagram of an adjusting unit according to another exemplary embodiment of the present invention.

Fig. 10-1 is a schematic structural diagram of an access network device according to still another exemplary embodiment of the present invention.

Fig. 10-2 is a schematic structural diagram of another access network device according to another exemplary embodiment of the present invention.

Fig. 11 is a schematic structural diagram of a terminal according to another exemplary embodiment of the present invention.

Fig. 12 is a schematic structural diagram of an access network device according to still another exemplary embodiment of the present invention.

With the above figures, certain embodiments of the invention have been illustrated and described in more detail below. The drawings and the description are not intended to limit the scope of the inventive concept in any way, but rather to illustrate it by those skilled in the art with reference to specific embodiments.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Referring to fig. 1, an environment structure diagram of a video scheduling system according to the method for acquiring quality of experience information provided by the embodiment of the present invention is shown. The video scheduling system comprises at least one terminal 00 and an access network device 01, wherein the terminal 00 can be a mobile terminal (the state of the terminal 00 can be mobile or static) or a fixed terminal. The access network device 01 may determine QoE information of the video service of the terminal 00, and schedule data for the video service of the terminal 00 according to the QoE information, or calculate an average subjective score (MOS for short) according to the QoE information.

It should be noted that the video scheduling system provided in the embodiment of the present invention is a wireless communication system, such as a Long Term Evolution (LTE) system, a Wideband Code Division Multiple Access (WCDMA) system, a time division-synchronous code division multiple access (TD-SCDMA) system, and a Worldwide Interoperability for Microwave Access (WiMAX) system. In the LTE system, the terminal 00 may be a User Equipment (UE), the access network device 01 may be an evolved node b (enodeb), the management network element may be a core network server or a network server, and the core network server may be a Mobility Management Entity (MME); in a WCDMA system, the terminal 00 may be a UE, the access network device 01 may be a Radio Network Controller (RNC), and the management network element may be a network server; in the TD-SCDMA system, the terminal 00 may be UE, the access network device 01 may be RNC, and the management network element may be a network server; in the WiMAX system, the terminal 00 may be a UE, the access network device 01 may be a Base Station (BS), and the management network element may be a network server.

In addition, the video scheduling system provided by the embodiment of the present invention may include a scene in which only the video service exists, or may include a scene in which the video service and the non-video service are mixed.

An embodiment of the present invention provides a method for acquiring quality of experience information, which may be used for an access network device 01 shown in fig. 1, and as shown in fig. 2, the method includes:

step 201, when the access network device determines that the video service scheduling data of the terminal is the scheduling data of the video service of the terminal, acquiring the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal.

And step 202, determining QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.

In summary, according to the method for acquiring experience quality information provided in the embodiment of the present invention, since the access network device can determine the QoE information of the video service according to the scheduling data amount of the data scheduled for the video service of the terminal and the video code rate of the terminal, the terminal does not need to report the QoE information through a signaling, and waste of air interface resources is effectively reduced, so that consumption of communication resources is reduced in the process of processing the video service.

An embodiment of the present invention provides a method for acquiring quality of experience information, which may be used for a terminal 00 shown in fig. 1, and as shown in fig. 3, the method includes:

step 301, generating QoE information, where the QoE information includes a video playing status of the terminal and a generation time of the video playing status of the terminal, and the QoE information is the same as a parameter included in QoE information determined by the access network device, and the QoE information determined by the access network device is determined by the access network device according to a scheduling data amount of data scheduled for a video service of the terminal and a video code rate of the terminal.

Step 302, sending QoE information to the access network device, so that the access network device updates QoE information determined by the access network device by using QoE information sent by the terminal, and obtains updated QoE information.

In summary, according to the method for acquiring quality of experience information provided in the embodiment of the present invention, since the terminal can generate the QoE information and report the QoE information to the access network device, the access network device can update the QoE information determined by the access network device by using the QoE information sent by the terminal, so that the QoE information acquired by the access network device can be more accurate, and the accuracy of acquiring the QoE information can be improved.

An embodiment of the present invention provides a video scheduling method, which may be used in an access network device 01 shown in fig. 1, and as shown in fig. 4, the method includes:

step 401, judging whether the terminal is in a moving state;

step 402, when the terminal is in a mobile state, acquiring channel state information of the terminal at the current moment;

step 403, adjusting the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current moment;

and step 404, scheduling data for the video service of the terminal according to the adjusted scheduling priority.

In summary, according to the video scheduling method provided in the embodiment of the present invention, when the terminal is in the mobile state, the access network device can adjust the scheduling priority of the terminal according to the channel state information of the terminal at the current time, and schedule data for the video service of the terminal according to the adjusted scheduling priority, so that the video quality of the terminal in the mobile state can be effectively ensured.

An embodiment of the present invention provides a method for acquiring quality of experience information, which may be used in a video scheduling system shown in fig. 1, and as shown in fig. 5-1, the method includes:

step 501, when the access network device determines to be the video service scheduling data of the terminal, obtaining the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal.

In the embodiment of the invention, when the access network equipment receives the video service request sent by the terminal, the data needing to be scheduled for the video service of the terminal can be determined. An RLC buffer is disposed in a Radio Link Control (RLC) layer of the access network device, where the RLC buffer is configured to buffer data scheduled for a video service of a terminal, and a scheduling data amount corresponding to the data scheduled for the video service of the terminal can be obtained by monitoring the RLC buffer, where it is to be noted that the scheduling data amount is used to identify a video data amount scheduled for the terminal by the access network device, and is only used for distinguishing from a data amount obtained by the terminal and is not used to limit the data amount, and therefore, the scheduling data amount mentioned in this embodiment of the present invention is a data amount generated by the access network device for scheduling the video service of the terminal.

The data scheduled by the access network device for the video service of the terminal may be encrypted or unencrypted. When the video service is not encrypted for Transmission, the access network device may obtain the video code rate of the terminal by parsing a Transmission Control Protocol (TCP) packet; when the video service is encrypted for transmission, the access network device may determine the video code rate through a preset acquisition rule, or receive the video code rate sent by another network element, where the acquisition rule of the video code rate may refer to the related art.

Step 502, the access network equipment determines the QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.

In the embodiment of the present invention, the QoE message may include a video playing status of the terminal and a generation time of the video playing status of the terminal. Optionally, the video playing status of the terminal may include: the current playing state and the generation time of the current playing state, the playing state type of the current playing state may include an initial buffering state (also called initial buffering state), a normal playing state (playback), an interruption buffering state (also called interruption buffering state, english buffering state) or a playing end state. The video playing state of the terminal may further include: a history play state and a generation time of the history play state, wherein the history play state is a play state from an initial buffer state generation time (namely, a play starting time) to a time before a current time.

Optionally, the QoE information determined by the access network device may further include: the method comprises the following steps of video pre-cache playing time length, initial cache time delay, average interruption time length and interruption times, wherein the video pre-cache playing time length is the time length of data cached by a terminal for being kept playing, the initial cache time delay is the time delay from the generation time (also called the starting time) of an initial cache state to the generation time of a first normal playing state, the average interruption time length is the average value of all interruption time lengths (namely the time length for keeping the interruption cache state) of the terminal from the generation time of the initial cache state to the current time, and the interruption times is the times for generating the interruption cache state from the generation time of the initial cache state to the current time, namely the times of video interruption.

In the embodiment of the invention, the normal playing state comprises a first normal playing state and a second normal playing state, wherein the first normal playing state is a state that the terminal starts to play the video normally for the first time from an initial cache state; the normal playing state again is a state that the video is played normally after the terminal has an interrupted cache state.

For example, in step 502, when the QoE information includes a video playing status of the terminal and a generation time of the video playing status of the terminal, the method for determining QoE information of a video service of the terminal according to the scheduling data amount and the video bitrate may include:

step a1, when an RLC buffer (buffer) on the access network device starts to schedule data for the video service of the terminal, the access network device determines that the video playing state is an initial buffer state, and records the generation time of the initial buffer state.

In practical application, the RLC buffer starts to schedule data for the video service of the terminal according to the preset scheduling instruction, or may perform scheduling when the data amount in the RLC buffer is greater than a preset threshold (the preset threshold is usually 0), which is not limited in the embodiment of the present invention.

Although there is transmission delay between the access network device and the terminal, the delay is small, and usually does not affect the determination of the video playing state of the terminal by the access network device. In the embodiment of the present invention, when the RLC buffer starts to schedule data for a video service of the terminal, the access network device determines that the playing state is the initial buffer state, and records the generation time of the initial buffer state.

Step A2, after the initial buffer state begins, the access network device determines whether the video pre-buffer playing time length is larger than the preset initial buffer time length threshold value according to the scheduling data amount.

For example, the method for the access network device to determine whether the video pre-cache playing time length is greater than the preset initial cache time length threshold according to the scheduling data amount may include:

step A21, the access network device determines the scheduled data volume from the generation time of the initial buffer state to the current time according to the scheduled data volume.

In the embodiment of the present invention, the scheduled data amount from the generation time of the initial buffer state to the previous time of the current time is history data amount H1, and the scheduled data amount at the current time is N1, so that the scheduled data amount W1 from the generation time of the initial buffer state to the current time is the sum of the history data amount H1 and the scheduled data amount N1 at the current time, that is, W1 is H1+ N1.

Step a22, the access network device uses the scheduled data volume from the generation time of the initial buffer state to the current time as the pre-buffer data volume of the current time.

The access network device takes the scheduled data volume from the generation time of the initial buffer state to the current time as the pre-buffered data volume of the current time, i.e. the W1 determined in the step a21 as the pre-buffered data volume of the current time. For example, the code corresponding to the method for obtaining the amount of the pre-cached data at the current time is:

CurDownloadData+＝CurScheData；

CurPreBufferedData＝LastPreBufferedData+CurDownloadData。

in the code, curprebuffereddard represents the amount of prebuffered data at the current time, lastprebuffereddaddata represents the amount of historical data, which may be equal to H1 in step a21, CurDownloadData represents the amount of data downloaded at the current time, curschedaddata represents the amount of scheduled data scheduled at the current time, which may be equal to N1 in step a 21. The code is scheduled in units of bits.

Step A23, the access network device determines the video pre-cache playing time length of the current time according to the pre-cache data volume of the current time.

In the embodiment of the present invention, the unit of the pre-cache data amount at the current time is bit, the unit of the video pre-cache playing time at the current time may be ms (millisecond) or s (second), and the video pre-cache playing time at the current time may be determined according to the pre-cache data amount at the current time according to the preset conversion rule.

In the embodiment of the invention, the data volume D (unit is bit), the video code rate Vd (unit is bit/s) and the time Td (unit is s) satisfy the formula of a conversion relation:

and Vd × Td is D, so that the video pre-cache playing time at the current time corresponding to the pre-cache data amount at the current time can be determined according to the conversion relation formula, that is, the video pre-cache playing time at the current time can be obtained by dividing the pre-cache data amount at the current time by the video code rate.

Step a24, the access network device determines whether the video pre-cache playing time at the current time is greater than a preset initial cache time threshold.

The access network device determines whether to switch the video playing state by judging whether the video pre-cache playing time at the current moment is greater than a preset initial cache time threshold, for example, the code of the process of judging whether to switch the video playing state by the access network device is as follows:

if(isRLCBufferEmpty＝＝fasle)

{

If(CurPreBufferedData>＝VideoInitialBufferingTimeThres)

{VideoPlayOutState＝PLAY_BACK；

FirstPlaybackTime＝CurrentTime；

PlaybackTime＝CurrentTime；

//**********Statistic for Initial Delay*********//

InitialDelay＝CurrentTime–FirstPacketTime；

LastPreBufferedData＝CurPreBufferedData；

CurDownloadData＝0；

}

}else

{VideoPlayOutState＝PLAY_NULL；

}

the corresponding parameter explanations can be referred to table 1 below.

When the video pre-cache playing time at the current moment is greater than a preset initial cache time threshold, determining that the video pre-cache playing time is greater than the preset initial cache time threshold; and when the video pre-cache playing time at the current moment is not greater than the preset initial cache time threshold, determining that the video pre-cache playing time is not greater than the preset initial cache time threshold.

Step A3, when the video pre-cache playing time is longer than the preset initial cache time threshold, the access network device determines that the video playing state is the first normal playing state, and records the time of the first normal playing state.

In the embodiment of the present invention, assuming that the initial buffer time length threshold is 4.5s, assuming that the play time length corresponding to the data size in the RLC buffer is RLCBuffer, and the video pre-buffer play time length is CurBuffer, the first normal play state satisfies the condition RLCBuffer >0 ﹠ ﹠ CurBuffer ≧ 4.5s, where "﹠ ﹠" represents a logical and.

The first normal playing state is the state of the first normal playing after the initial cache state starts.

Step A4, after the first normal play state starts, the access network device determines whether the data buffered in the video buffer area of the terminal is exhausted according to the scheduling data amount and the video code rate.

For example, the method for determining, by the access network device, whether data buffered in a video buffer of the terminal is exhausted according to the scheduled data amount and the video code rate may include:

step A41, determining the scheduling data amount y from the generation time of the first normal playing state to the current time according to the scheduling data amount.

The scheduling data amount y may be obtained from a scheduler of the access network device, which may be a basic scheduler or a dynamic scheduler.

Step A42, determining the pre-buffer data amount x at the generation moment of the first normal playing state.

The amount of pre-buffered data x may be equal to the product of the video bitrate and the transmission duration. The transmission time period is a time period from the start scheduling time to the generation time of the first normal play state.

Step a43, determining a data volume z played by the terminal from the generation time of the first normal playing state to the current time according to the video code rate m, where z is m × t, and t is a duration from the generation time of the first normal playing state to the current time.

Step a44, determining the amount u of pre-cached data at the current time, where u is x + y-z.

Step A45, when the amount of the pre-buffered data at the current moment is 0, determining that the data buffered in the video buffer area of the terminal is exhausted.

Step A46, when the amount of the pre-buffered data at the current moment is larger than 0, determining that the data buffered in the video buffer area of the terminal is not exhausted.

Steps a41 to a46 are actually determining whether the amount of the pre-buffered data at the current time is 0, and determining that the data buffered in the video buffer area of the terminal is exhausted when the amount of the pre-buffered data at the current time is 0; and when the pre-cache data amount at the current moment is not 0, determining that the data cached in the video cache region of the terminal is not exhausted.

For example, in the first normal play state, the update code of the amount of the pre-cache data is as follows:

CurDownloadData+＝CurScheData；

AccumPlayBackData＝(CurrentTime-PlaybackTime)*VideoRate；

CurPreBufferedData＝LastPreBufferedData+CurDownloadData-AccumPlayBackData.

corresponding parameter explanations may refer to table 1 and step a22 below.

The access network device determines whether to perform video playing state switching by judging whether data cached in a video cache region of the terminal is exhausted, for example, codes of a process of judging whether to perform video playing state switching by the access network device are as follows:

If(CurPreBufferedData＝＝0)

{if(isRLCBufferEmpty＝＝fasle)

{VideoPlayOutState＝REBUFFERING；

RebufferingStartTime＝CurrentTime；

LastPreBufferedData＝0；

CurDownloadData＝0；

}else

{VideoPlayOutState＝PLAY_END；

}

corresponding parameter explanations may refer to table 1 and step a22 below.

Step A5, when the data cached in the video cache area of the terminal is exhausted, the access network device determines that the video playing state is the interrupt cache state, and records the generation time of the interrupt cache state.

In practical application, when the terminal is in the interrupt buffer state, the video of the terminal stops playing. Assuming that the playing time length corresponding to the data size in the RLC buffer is RLCBuffer and the video pre-buffer playing time length is CurBuffer, the interrupt buffer status satisfies the condition RLCBuffer >0 ﹠ ﹠ CurBuffer ═ 0, where "﹠ ﹠" represents a logical and.

Step A6, after the interruption buffer state begins, the access network device determines whether the video pre-buffer playing time length is larger than the preset interruption buffer time length threshold value according to the scheduling data volume and the video code rate.

For example, the method for determining, by the access network device, whether the video pre-buffer playing duration is greater than the preset interrupt buffer duration threshold according to the scheduling data amount and the video code rate may include:

step A61, determining the scheduling data amount from the generation time of the interrupt buffer state to the current time according to the scheduling data amount.

In the embodiment of the present invention, the scheduled data amount from the generation time of the interrupt buffer state to the previous time of the current time is history data amount H2, and the scheduled data amount at the current time is N2, so that the scheduled data amount W2 from the generation time of the interrupt buffer state to the current time is the sum of the history data amount H2 and the scheduled data amount N2 at the current time, that is, W2 is H2+ N2.

Step A62, taking the scheduling data volume from the generation time of the interrupt buffer state to the current time as the pre-buffer data volume of the current time;

namely, the W2 determined in the step A61 is used as the pre-buffered data amount of the current time.

For example, in the interrupt buffer state, the update code of the pre-buffer data amount is as follows:

CurDownloadData+＝CurScheData；

CurPreBufferedData＝CurDownloadData；

the corresponding parameter explanations can be referred to table 1 below.

Step A63, determining the video pre-cache playing time length at the current time according to the pre-cache data volume at the current time.

In the embodiment of the present invention, the unit of the pre-cache data amount at the current time is bit, the unit of the video pre-cache playing time at the current time may be ms, and the video pre-cache playing time at the current time may be determined according to the pre-cache data amount at the current time according to the preset conversion rule. Referring to step a23, the video pre-buffer playing duration at the current time can be obtained by dividing the pre-buffer data size at the current time by the video bitrate.

Step A64, judging whether the video pre-cache playing time length at the current moment is larger than a preset interruption cache time length threshold value.

In practical application, both the initial buffer state and the interrupted buffer state may be referred to as buffer states, and the rules for switching the buffer state to the normal play state may be the same, that is, it is determined whether the video pre-buffer play duration at the current time is greater than the preset duration threshold, and when the video pre-buffer play duration is greater than the preset duration threshold, the video pre-buffer play duration is switched from the buffer state to the normal play state, so that the specific processes of step a2 and step a6 may refer to each other, and the initial buffer play duration threshold and the interrupted buffer play duration threshold may be equal to each other.

When the video pre-cache playing time at the current moment is longer than a preset interruption cache time threshold, determining that the video pre-cache playing time is longer than the preset interruption cache time threshold; and when the video pre-cache playing time at the current moment is not greater than the preset interruption cache time threshold, determining that the video pre-cache playing time is not greater than the preset interruption cache time threshold.

Step A7, when the video pre-cache playing time length is greater than the preset interrupt cache time length threshold, the access network device determines that the video playing state is the normal playing state again, and records the generation time of the normal playing state again.

It should be noted that there is a special case in the normal play again state, when the play time corresponding to the data amount in the RLC buffer is 0 but the video pre-buffer play time is greater than 0, the play state is also determined to be the normal play again state, and the generation time of the normal play again state is recorded. The play time length corresponding to the data amount in the RLC buffer is 0, which indicates that the access network device has completely scheduled the video data of the current video service (for example, the data of one movie has been completely scheduled), and the video pre-buffer play time length is greater than 0, which indicates that the access network device determines that the terminal has not played the video. Therefore, in the embodiment of the present invention, assuming that the threshold of the interrupt buffer duration is 3.5s, the playback duration corresponding to the data amount in the RLC buffer is RLCBuffer, and the video pre-buffer playback duration is CurBuffer, the normal playback status again satisfies the condition (RLCBuffer >0 ﹠ ﹠ CurBuffer ≧ 3.5s) | (RLCBuffer ≧ 0 ﹠ ﹠ CurBuffer >0), where "﹠ ﹠" represents a logical and, and "|" represents a logical or.

The access network device determines whether to switch the video playing state by judging whether the video pre-cache playing time length is greater than a preset interrupt cache time length threshold, for example, the code of the process of judging whether to switch the video playing state by the access network device is as follows:

If(isRLCBufferEmpty＝＝fasle)

{if(CurPreBufferedData>＝VideoRebufferingTimeThres)

{VideoPlayOutState＝PLAY_BACK；

PlaybackTime＝CurrentTime；

LastPreBufferedData＝CurPreBufferedData；

CurDownloadData＝0；

//**********Statistic for RebufferingDuration*********//

RebufferingDuration＝CurrentTime–RebufferingStartTime；

}

}else//isRLCBufferEmpty＝＝true

{if(CurPreBufferedData>0)

{VideoPlayOutState＝PLAY_BACK；

PlaybackTime＝CurrentTime；

LastPreBufferedData＝CurPreBufferedData；

CurDownloadData＝0；

}else//CurPreBufferedData＝＝0

{VideoPlayOutState＝PLAY_END；

}

corresponding parameter explanations may refer to table 1 and step a22 below.

Step A8, when the playing time corresponding to the data amount in the RLC buffer is 0 and the video pre-buffer playing time is equal to 0, the access network device determines that the video playing state is the playing ending state and records the generation time of the playing ending state.

Assuming that the playing time length corresponding to the data size in the RLC buffer is RLCBuffer, and the video pre-buffer playing time length is CurBuffer, the playing end state satisfies the condition RLCBuffer-0 ﹠ ﹠ CurBuffer-0, where "﹠ ﹠" represents a logical and.

Step A9, the access network equipment generates QoE information according to the video playing state and the generation time of the video playing state.

In the embodiment of the present invention, optionally, each time the video playing status is updated (i.e., status switching is generated), the access network device may generate QoE information, so as to ensure timeliness of the video playing status determined by the access network device.

As shown in fig. 5-2, fig. 5-2 is a schematic view illustrating a playing state change of a video, wherein a playing time duration corresponding to a data amount in an RLC buffer is RLC buffer, and a video pre-buffer playing time duration is CurBuffer. When the video service is not started, the terminal is in a non-starting (payload null) state, once video data arrives in the RLC buffer, a player of the terminal enters an initial buffering (initial buffering) state, at this time, the video data starts to be scheduled (be scheduled), the player of the terminal starts to download a file, and the player enters a normal play (playback) state until a pre-buffering time (buffering time) corresponding to the data amount buffered in the video buffer reaches an initial buffering time threshold. In the first normal playing state, the data amount of the buffer memory in the video buffer memory area is exhausted to cause the interruption of video playing, and the player enters an interruption buffer memory (buffering) state until the data amount of the buffer memory in the video buffer memory area reaches an interruption buffer memory duration threshold value, and then enters a normal playing (play back) state. In the embodiment of the present invention, since the non-start state has no influence on the video frequency modulation degree, the access network device may not determine the play state, and the access network device only needs to determine the initial buffer state, the normal play state, the interruption buffer state, and the play end state. The access network device may determine the play status by detecting the amount of video data in the RLC buffer, and refer to the steps a1 to a 9. As shown in fig. 5-2, in practical application, after the initial buffer state starts, when the data amount in the RLC buffer is 0, the corresponding play duration is 0, which indicates that the access network device does not acquire video data in a corresponding server and cannot perform resource scheduling, and therefore, the video play state returns to the non-start state; after the video playing state is in the playing ending state, when it is detected that the data amount in the RLC buffer is greater than 0 and the corresponding playing time is greater than 0, it indicates that the user starts to watch a new video and new video data arrives, and the next round of video playing state determination is started, and the determination process refers to the above process, which is not described in detail in the embodiment of the present invention.

In practical applications, the access network device periodically determines the QoE information, and in the embodiment of the present invention, the QoE information is periodically obtained by taking 1 Transmission Time Interval (TTI) as a determination period. Correspondingly, step 501 may be that the access network device periodically determines the scheduled data amount of the data scheduled for the video service of the terminal and the video bitrate of the terminal. Step 502 may be that the access network device periodically determines QoE information of the video service according to the scheduling data amount and the video code rate. The period adopted in steps 501 to 502 is equal to a predetermined determination period, i.e. 1 TTI. Therefore, the current time in step 502 refers to a time in the current cycle, and may be the current TTI in the embodiment of the present invention.

In the embodiment of the present invention, the access network device determines the QoE information in a cycle of 1TTI, which can implement real-time determination of the QoE information and ensure timeliness and accuracy of the QoE information.

It should be noted that, when determining QoE information of a video service according to a scheduling data volume and a video code rate, redundancy processing may be performed on the video code rate to obtain a code rate estimation value, where the code rate estimation value is greater than the video code rate; and then determining QoE information of the video service of the terminal according to the scheduling data volume and the code rate estimation value.

On one hand, the process of performing redundancy processing on the video code rate f to obtain the code rate estimation value g can satisfy a first redundancy formula: g ═ f + k, where k is a preset redundancy value, e.g., k is 0.2M (mega);

on the other hand, the process of performing redundancy processing on the video code rate f to obtain the code rate estimation value g can satisfy a second redundancy formula: g ═ f (1+ P), P is the predetermined redundancy ratio, typically 0< p.ltoreq.1, preferably 10% ≦ p.ltoreq.20%.

The code rate estimated value obtained by carrying out redundancy processing is larger than the actual video code rate (also called as an actual value), the redundancy processing method is called as conservative estimation, and the video scheduling priority of the terminal is determined by adopting the code rate estimated value larger than the actual code rate, so that the scheduling robustness can be ensured.

In practical applications, the access network device may have various implementation manners of the method for determining the QoE information of the video service according to the scheduling data amount and the video bitrate, the embodiment of the present invention is only illustrative, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Step 503, the access network equipment adjusts the scheduling priority of the video service of the terminal according to the QoE information.

In the embodiment of the present invention, there may be multiple methods for adjusting the scheduling priority of the video service of the terminal by the access network device according to the QoE information, and the following several implementation manners are taken as examples in the embodiment of the present invention:

in a first implementation manner, a method for adjusting a scheduling priority of a video service of a terminal according to QoE information may include:

step B1, when the QoE information indicates that the current playing state is the initial cache state, or the QoE information indicates that the current playing state is the normal playing state and the video pre-cache playing time length is not greater than the preset minimum threshold of the cache time length, adjusting the scheduling priority of the video service of the terminal to be the first priority, wherein the video pre-cache playing time length is the time length of the data maintained playing cached by the terminal.

In the embodiment of the present invention, the minimum buffer duration threshold (buffered playtimelowerthres) is usually 1s, and when the video pre-buffer playing duration is not greater than the preset minimum buffer duration threshold, it indicates that the video is easy to be interrupted.

And step B2, when the QoE information indicates that the current playing state is the interrupt cache state, adjusting the scheduling priority of the video service of the terminal to be a second priority.

And step B3, when the QoE information indicates that the current playing state is the normal playing state and the video pre-cache playing time length is between the preset minimum threshold value of the cache time length and the preset maximum threshold value of the cache time length, adjusting the scheduling priority of the video service of the terminal according to the QoE information and the channel state information of the terminal at the current moment.

In the embodiment of the present invention, the maximum buffer duration threshold (buffered playtimehighherthres) is usually 10s, and the configuration of the parameter is related to the cell coverage radius and the moving speed of the terminal. For example, in the LTE system, the distance between base stations is 500 meters, and the terminal moving speed is 120 kilometers per hour (km/h), the maximum threshold of the buffer duration may be set to 10 seconds. When the video pre-cache playing time length is greater than the maximum threshold of the cache time length, the cache is sufficient, the access network equipment can maintain that the data are not scheduled for the video service within the video pre-cache playing time length, and the terminal can also play the video normally.

Optionally, the process of adjusting the scheduling priority of the video service of the terminal according to the QoE information and the channel state information of the terminal at the current time in step B3 may include:

step B31, the access network device determines whether the terminal is in a moving state.

In the embodiment of the present invention, a method for identifying a doppler shift of a terminal may be used to determine whether the terminal is in a moving state, and a specific identification method may refer to related technologies, which is not described in detail in the embodiment of the present invention.

Step B32, when the terminal is in the mobile state, the access network device obtains the channel state information of the terminal at the current time.

The channel state information reflects the state of a channel indicating the access network device and the terminal to perform service data transmission or control signaling transmission, and since the access network device in the video scheduling system in the embodiment of the present invention can perform resource scheduling for the video service of the terminal, data transmission needs to be performed through the channel in the resource scheduling process, the channel state information in the embodiment of the present invention can be used to reflect the state of the channel indicating the access network device and the terminal to perform video service data transmission or control signaling transmission. The channel state information may be reported to the access network device by the terminal.

In the embodiment of the present invention, the channel state information may be a Channel Quality Indicator (CQI). The access network equipment can determine the channel state of the current base station according to the CQI.

It should be noted that, when the terminal is not in a moving state, the priority adjustment factor Q may be calculated, where Q is a/T, where a is a maximum threshold of the cache duration, and T is the video pre-cache play duration indicated by the QoE information. Then, a priority calculation formula is adopted to determine the scheduling priority Pr of the video service, wherein the priority calculation formula is as follows: pr × Q Pr0, where Q is a priority adjustment factor and Pr0 is a base scheduling priority. The base scheduling priority is assigned to the terminal by a base scheduler of the access network device.

Step B33, the access network device determines whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state.

The large-scale channel fluctuation refers to fading caused by path loss and shadow effect of electromagnetic wave signal strength in a wireless environment. In a wireless mobile environment, a terminal is prone to large-scale channel fluctuation, for example, when the terminal moves to a cell edge and channel conditions become poor, the large-scale channel fluctuation level is poor. In the embodiments of the present invention, there may be various methods for determining whether the channel state indicated by the channel state information at the current time is the large-scale channel fluctuation state, and the following three methods are taken as examples in the embodiments of the present invention:

in the first aspect, whether the channel state indicated by the channel state information is a large scale channel fluctuation state or not may be determined by comparing the SINR of the channel with the cell level variance.

For example, the access network device may determine a signal to interference plus noise ratio (SINR) of a channel indicated by the channel state information at the current time according to the channel state information, and compare the SINR of the channel indicated by the channel state information with X1 and X2, respectively, where X1 is a sum of a historical average SINR of the channel and a preset first cell variable, X2 is a difference between the historical average SINR of the channel and a preset second cell variable, and the historical average SINR of the channel is an average SINR from a generation time of the initial buffer state to a previous time at the current time.

And when the SINR of the channel is greater than or equal to the sum of the signal-to-interference-plus-noise ratio SINR of the channel indicated by the channel state information at the current moment, the historical average SINR of the channel and a preset first cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

And when the SINR of the channel is less than or equal to the difference between the historical average SINR of the channel and a preset second cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

In this embodiment of the present invention, assuming that the SINR of the channel indicated by the channel state information is CurSINR, the historical average SINR of the channel is HistAvgSINR, the first cell variable is x1, and the second cell variable is x2, when the channel state indicated by the channel state information is a large-scale channel fluctuation state, it satisfies:

(CurSINR ≧ HistAvgSINR + x1) | (CurSINR ≦ HistAvgSINR-x2), where "| |" represents a logical OR.

In practical applications, the x1 may be equal to or different from x2, for example, x1 may be equal to 3dB (decibel), and x2 may be equal to 3 dB.

The method provided by the first aspect is adopted to judge the fluctuation state of the large-scale channel, so that the resource utilization rate of the terminal can be improved.

In a second aspect, whether the channel state indicated by the channel state information is a large-scale channel fluctuation state may be determined by comparing the SINR of the channel with a preset threshold.

For example, the access network device may determine, according to the channel state information, an SINR of a channel indicated by the channel state information at the current time, and compare the SINR of the channel indicated by the channel state information with a good area threshold and a bad area threshold, respectively.

And when the SINR of the channel indicated by the channel state information at the current moment is greater than a preset good area threshold value, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

In the embodiment of the present invention, assuming that the SINR of the channel indicated by the channel state information is CurSINR, the good area threshold is Thres1, and the bad area threshold is Thres2, when the channel state indicated by the channel state information is a large-scale channel fluctuation state, it satisfies:

(CurSINR > Thres1) | (CurSINR < Thres2), where "| |" represents a logical OR.

In practical applications, the Thres1 may be equal to or different from Thres2, for example, the Thres1 may be equal to 20dB (decibel), and the Thres2 may be equal to 10 dB.

The method provided by the first aspect is adopted to judge the fluctuation state of the large-scale channel, so that the spectrum efficiency of the system can be improved.

In a third aspect, the first and second aspects may be combined to determine whether the channel state indicated by the channel state information is a large scale channel fluctuation state.

For example, the access network device may determine the SINR of the channel indicated by the channel state information at the current time according to the channel state information, and compare the SINR of the channel indicated by the channel state information with X1, X2, the good area threshold, and the bad area threshold, respectively. Where X1 is the sum of the historical average SINR of the channel, which is the average SINR of the channel from the time of generation of the initial buffer state to the previous time of the current time, and a preset first cell variable, and X2 is the difference between the historical average SINR of the channel, which is the average SINR of the channel from the time of generation of the initial buffer state to the previous time of the current time, and a preset second cell variable.

When the SINR of the channel is greater than or equal to the sum of the signal-to-interference-plus-noise ratio SINR of the channel indicated by the channel state information at the current moment, the historical average SINR of the channel and a preset first cell variable; or, when the SINR of the channel is less than or equal to the difference between the historical average SINR of the channel and a preset second cell variable; or when the SINR of the channel indicated by the channel state information at the current time is greater than a preset good region threshold, or when the SINR of the channel indicated by the channel state information at the current time is less than a preset bad region threshold, determining that the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state.

In the embodiment of the present invention, assuming that the SINR of the channel indicated by the channel state information is CurSINR, the historical average SINR of the channel is HistAvgSINR, the first cell variable is x1, the second cell variable is x2, the good region threshold is Thres1, and the bad region threshold is Thres2, when the channel state indicated by the channel state information is a large-scale channel fluctuation state, it satisfies:

The method provided by the fourth aspect is adopted to judge the fluctuation state of the large-scale channel, the channel condition of the current terminal is not only compared with the historical average value of the terminal but also compared with the threshold of the cell level, the judgment accuracy is improved, the resource utilization rate of the terminal can be improved, and the system spectrum efficiency can be provided.

And step B34, when the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state, adjusting the scheduling priority of the video service of the terminal according to the video pre-cache playing time indicated by the QoE information and the channel large-scale fluctuation level of the terminal.

On one hand, in the embodiment of the present invention, adjusting the scheduling priority of the video service of the terminal according to the video pre-cache play duration indicated by the QoE information and the channel large-scale fluctuation level of the terminal may include:

and step B341, determining a constant reflecting the large-scale fluctuation level of the channel of the terminal.

In the embodiment of the present invention, there may be a plurality of methods for determining the constant reflecting the large-scale fluctuation level of the channel of the terminal, and in the embodiment of the present invention, the constant reflecting the large-scale fluctuation level of the channel of the terminal is generally determined in the process of determining whether the channel state indicated by the channel state information at the current time is the large-scale channel fluctuation state.

Illustratively, when the SINR of the channel is greater than or equal to the sum of the historical average SINR of the channel and a preset first cell variable, a constant R1 that reflects the good level of large-scale fluctuation of the channel of the terminal is allocated to the channel.

And when the SINR of the channel is less than or equal to the sum of the historical average SINR of the channel and a preset first cell variable, allocating a constant R2 reflecting the severe large-scale fluctuation level of the channel of the terminal to the channel, wherein R comprises R1 or R2.

And when the SINR of the channel indicated by the channel state information at the current moment is greater than a preset good area threshold value, allocating a constant R3 reflecting the good large-scale fluctuation level of the channel of the terminal to the channel.

When the SINR of the channel indicated by the channel state information at the current moment is less than a preset severe region threshold value, a constant R2 reflecting the severe large-scale fluctuation level of the channel of the terminal is allocated to the channel, and R4 comprises R3 or R4.

Wherein R1 may be equal to R3 and R2 may be equal to R4.

And step B342, determining a priority adjustment factor Q by adopting an adjustment factor calculation formula according to the video pre-cache playing time T indicated by the QoE information and the channel state information at the current moment.

And step B343, taking the product of the priority adjustment factor Q and the basic scheduling priority of the preset video service as the scheduling priority of the video service of the terminal, wherein the basic scheduling priority of the preset video service is allocated to the terminal by the basic scheduler of the access network equipment.

Wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

wherein, a is a preset maximum threshold of the buffer duration, R is a constant which reflects the large-scale fluctuation level of the channel of the terminal and is determined according to the channel state information at the current moment, and R is positively correlated with the good degree of the channel state.

For example, if the channel status is good, R may be configured to be a constant greater than 1, thereby increasing the video scheduling priority to allocate more radio resources; if the channel state is bad, R can be configured to be a constant larger than 1, so that the video scheduling priority is reduced to allocate less wireless resources; r may be configured to be 1 if the channel conditions are moderate. In the embodiment of the present invention, R may be R1, R2, R3, or R4.

By adopting the method from the step B341 to the step B343, the video scheduling priority can be increased when the channel state is good and the video pre-buffer playing time is not sufficient, and the video buffer area of the terminal is filled in advance, so that when the terminal moves to a position with a bad channel, the scheduling of video resources can be reduced, and the stable playing of the video can be maintained by consuming the data of the video buffer area.

And step B4, when the QoE information indicates that the current playing state is the normal playing state and the video pre-cache playing time length is greater than the preset maximum threshold of the cache time length, adjusting the scheduling priority of the terminal to be a third priority, wherein the first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to the preset minimum priority.

In practical application, the first priority is usually a preset maximum priority, the second priority is smaller than or equal to the first priority, the third priority is usually a minimum priority, the usually minimum priority is 0, and corresponding to the terminal with the minimum priority, the access network device does not allocate resources for the video service of the terminal, that is, does not perform resource scheduling.

In the related art, the scheduler is a module used in an access network device for performing video scheduling, and the scheduler in the embodiment of the present invention is generally a base scheduler.

In the embodiment of the invention, the scheduling priority of the video service of the terminal is equal to the product of the priority adjustment factor and the preset basic scheduling priority of the video service, the scheduling priority of the video service of the terminal is adjusted by adjusting the priority adjustment factor, and the preset basic scheduling priority of the video service is allocated to the terminal by the basic scheduler of the access network equipment. The basic scheduler may use Proportional Fair (PF) algorithm to perform video scheduling. Therefore, a factor adjusting module can be arranged at the front end of the basic caller, and the factor adjusting module is used for calculating a priority adjusting factor Q; the basic scheduler can calculate the basic scheduling priority, and outputs the product of the adjustment factor Q input by the factor adjustment module and the basic scheduling priority as the scheduling priority of the video service of the terminal. For example, a priority calculation formula is adopted to determine the scheduling priority Pr of the video service, and the priority calculation formula is as follows: pr × Q Pr0, where Q is a priority adjustment factor and Pr0 is a base scheduling priority. The priority adjustment factor Q may be determined according to the QoE information, or may be determined jointly according to the QoE information and the channel state information, for example, when the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state, the adjustment factor calculation formula in step B343 is used for determining. Pr0 is calculated by the basic scheduler according to the PF algorithm.

In the first implementation manner of step 503, it can be seen that the scheduling priority of the Video service of the terminal is determined by the access network device according to the current playing status indicated in the QoE information, where the current playing status is different and the corresponding priority is different, for example, as shown in fig. 5-3, in the first implementation manner, assuming that the method provided by the third aspect is adopted in step B33 to determine whether the Channel status indicated by the Channel status information is a large-scale Channel fluctuation status, the Channel status area shown in fig. 5-3 may be divided into 5 areas according to the Channel status information at the current Time and the Video pre-cache playing duration indicated by the QoE information, as shown in fig. 5-3, in the figure, a horizontal axis is used as the Video pre-cache playing duration (Video Buffered Time), a vertical axis is used as the Channel status to establish a coordinate system, the channel status may be determined according to channel status information at the current time, where a good area threshold (goodreigionthres) Thres 1K; severe region threshold (badregiontthres) ═ Thres2 ═ J; a buffer duration minimum threshold (buffer playtimelowerthres) U; the buffer duration maximum threshold (buffered playtimehighherthres) is V, and the 5 regions respectively correspond to different priority adjustment factors. The area 5 belongs to a good channel area, the area 3 is a bad channel area, and the priority of the area 3 is low, so that other terminals except the terminal can benefit, and the other terminals can be video service terminals or non-video service terminals.

In a first implementation manner of step 503, the embodiment of the present invention takes table 1 as an example to introduce different priority adjustment factors corresponding to different current playing states.

TABLE 1

Optionally, the process of adjusting the scheduling priority of the terminal according to the QoE information and the channel state information of the terminal at the current time in step B3 may also include:

step B35, determining the scheduling data volume TxTbSize (n) scheduled by the access network equipment at the nth time according to the QoE information determined by the access network equipment;

b36, determining the instantaneous rate r (n) of video service transmission of the terminal at the nth moment according to the channel state information reported by the terminal;

step B37, calculating the historical average rate R (n) of the video service of the terminal at the nth time according to the historical average rate calculation formula and the scheduling data amount TxTbSize (n) scheduled by the access network equipment at the nth time, wherein the historical average rate calculation formula is as follows:

r (n) × (1- α) × R (n-1) + α × txtbsize (n) × represents multiplication.

Step B38, calculating the scheduling priority P (n) of the terminal at the nth time according to a PF scheduling priority formula, the historical average rate R (n) of the video service of the terminal at the nth time and the instantaneous rate r (n) of the video service transmission of the terminal at the nth time, wherein the PF scheduling priority formula is as follows: "

α is a filter coefficient set for the video service of the terminal by adopting an alpha (alpha) filter algorithm, R (n-1) is the historical average rate of the video service of the terminal at the n-1 th moment, n is larger than or equal to 1, and when n is equal to 1, R (n-1) is a preset value.

In the alpha filtering algorithm, the reciprocal of the filter coefficient α is equal to the length of the sliding time window, namely, the alpha default value is 0.005, which represents the average value in 0.2s of the historical average rate of the terminal, in the embodiment of the present invention, when the video scheduling system includes a scene in which video traffic and non-video traffic are mixed, the scheduling priority of the non-video traffic may also be determined by the method of steps B35 to B38, but the configured α for the video traffic may be smaller than the α for the non-video traffic, so that the smaller filter coefficient α for the video traffic terminal may ensure a larger length of the sliding time window, lengthen the observation time of the average historical rate, and increase the influence ratio of the numerator in the PF scheduling priority, namely, the instantaneous rate r (n) of video traffic transmission of the terminal at the nth time, in the video scheduling priority, thereby achieving the effect of area-selective scheduling, namely, more scheduling when the channel condition is good, and less scheduling when the channel condition is poor.

The main factors influencing the comprehensive evaluation index of the QoE of the video, namely average subjective score (English: mean opinion score; MOS for short), comprise: video bitrate, initial buffering delay (also called initial buffering delay), interruption times (buffering duration) and average interruption duration (average buffering duration), and all factors have different influence weights, the video code rate is beyond the main factor, the importance of the initial cache delay and the interruption times is higher than the average interruption time length, therefore, in order to improve the MOS, the embodiment of the present invention enables the access network device to identify the current playing status of the video, and configures priorities of different sizes according to differences in influence weights of the MOS influencing factors, for example, different priorities are distributed by adjusting the weight of the priority adjustment factor, and a higher priority adjustment factor is configured for the video service of the terminal which is in the initial cache delay and in the normal playing state but has a lower video pre-cache playing time length, so that the initial cache delay and the interruption times are reduced as much as possible; a priority adjustment factor which is one level lower than the average interruption time length is configured for the video service of the terminal in the interruption cache state, and because the average interruption time length does not account for the main reason in the MOS, the current playing state is finally realized to be the initial cache state, or when the QoE information indicates that the current playing state is the normal playing state and the video pre-cache playing time length is not more than the preset minimum threshold value of the cache time length, the scheduling priority of the video service of the terminal is adjusted to be the first priority; the current playing state is an interrupt cache state, and the scheduling priority is adjusted to be a second priority; when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is between a preset minimum cache time length threshold and a preset maximum cache time length threshold, dynamically adjusting the scheduling priority of the terminal according to the QoE information and the channel state information of the terminal at the current moment; and when the QoE information indicates that the current playing state is the normal playing state and the video pre-cache playing time length is greater than the preset maximum threshold of the cache time length, adjusting the scheduling priority to be a third priority. The first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to a preset minimum priority, which is usually the lowest priority, i.e., no scheduling is performed.

In a first implementation manner, the access network device allocates different priorities to different playing states according to different current playing states, so as to comprehensively and comprehensively improve various indexes of the QoE of the video user. In a first implementation, the architecture of the video scheduling system may be as shown in fig. 5-4. The video scheduling system may include: the terminal and the access network device, the video code rate of the terminal may also be reported to the base station server by the management network element, and the access network device may include: a QoE information determining module, a factor adjusting module and a base scheduler, wherein the QoE information determining module may perform the step 501, the factor adjusting module and the base scheduler are configured to perform the step 502 and the step 503, the factor adjusting module may include a first sub-adjusting module and a second sub-adjusting module, the first sub-adjusting module is configured to perform the adjustment of the priority adjusting factor triggered by the QoE information, for example, the steps B1, B2 and B4, the second sub-adjusting module is configured to perform the adjustment of the priority adjusting factor triggered by the channel state information at the current time of the terminal, for example, the steps B31 to B33 in the step B3, and the first sub-adjusting module and the second sub-adjusting module are further configured to jointly determine the priority adjusting factor, for example, the step B34 is jointly performed. In addition, the base scheduler needs to transmit Scheduled Data (Scheduled Data) to the QoE information determination module, so that the QoE information determination module determines the QoE information. The module in the access network device provided in the embodiment of the present invention may be based on one TTI as a processing cycle, and may perform a corresponding action for each subframe of each video terminal.

It should be noted that the access network device may further include: a QoE information determining module and a base scheduler, wherein the QoE information determining module may perform the above step 501, and the base scheduler may perform the above steps B35 to B38.

In a first implementation manner, the parameter settings in the QoE information determination module and the meaning of each parameter may be as shown in table 2.

TABLE 2

In a second implementation manner, the MOS of the video service of the terminal may be calculated according to the QoE information; and then adjusting the scheduling priority of the terminal according to the MOS, wherein the value of the MOS is inversely related to the scheduling priority.

In the embodiment of the present invention, there are various MOS algorithms, and the MOS calculation input parameters may include: the method comprises the steps of video pre-cache playing Time (Buffered Time), initial cache Time delay, average interruption Time and interruption times, wherein the video pre-cache playing Time is the Time for maintaining playing of data cached by a terminal, the initial cache Time delay is the Time delay from the generation moment (also called the starting moment) of an initial cache state to the generation moment of a first normal playing state, the average interruption Time is the average value of all interruption Time durations (namely the Time for keeping the interruption cache state) of the terminal from the generation moment of the initial cache state to the current moment, and the interruption times are the times for generating the interruption cache state from the generation moment of the initial cache state to the current moment, namely the times of video interruption. The QoE information determined by the access network device may include these parameters, and the MOS may be calculated by using the parameters in the QoE information of the base station as input parameters of the MOS.

The calculated MOS value is inversely related to the scheduling priority of the video service of the terminal, namely the larger the MOS value is, the smaller the scheduling priority of the video service is. The access network device may configure the scheduling priority according to the MOS. In this embodiment of the present invention, the MOS value and the scheduling priority may be linearly inversely related (i.e., inversely related) or non-linearly inversely related, which is not limited in this embodiment of the present invention.

In a second implementation, the architecture of the video scheduling system may be as shown in fig. 5-5. The video scheduling system may include: the terminal and the access network equipment, the access network equipment can include: the QoE information determining module, the MOS determining module, the factor adjusting module and the basic scheduler, wherein the MOS determining module can be used for calculating an MOS of a video service of the terminal according to the QoE information, the factor adjusting module can determine a priority adjusting factor of the terminal according to the MOS and output the priority adjusting factor to the basic scheduler, and the basic scheduler determines the scheduling priority of the video service of the terminal. In addition, the base scheduler needs to transmit Scheduled Data (Scheduled Data) to the QoE information determination module, so that the QoE information determination module determines the QoE information. The module in the access network device provided in the embodiment of the present invention may be based on one TTI as a processing cycle, and may perform a corresponding action for each subframe of each video terminal.

In a third implementation manner, closed-loop correction of information can be performed according to QoE information sent by the terminal, and then the scheduling priority of the terminal is adjusted. As shown in fig. 5 to 6, the method for the access network device to adjust the scheduling priority of the video service of the terminal according to the QoE information may include:

step 5031, the access network device receives the QoE information sent by the terminal.

The Open System Interconnection (OSI) model is an open reference model for communication system interconnection, also called network seven-layer protocol. The OSI model has a 7-layer structure, which can have several sublayers per layer. The 7 layers of OSI are, from top to bottom, 7-application layer, 6-presentation layer, 5-session layer, 4-transport layer, 3-network layer, 2-data link layer and 1-physical layer, respectively, wherein the upper 4 layers, i.e. 7, 6, 5, 4 layers, define the functionality of the application, and the lower 3 layers, i.e. 3, 2, 1 layers, are mainly oriented towards end-to-end data flow through the network. In the embodiment of the present invention, the communication interface that may be established between the terminal and the access network device (also referred to as a logical interface) is a communication interface that is established between a 7-application layer and a 2-data link layer. And the access network equipment receives the QoE information sent by the terminal through a communication interface established between the terminal and the access network equipment.

Optionally, the access network device may also receive QoE information forwarded by the management network element, where the QoE information is generated by the terminal and sent to the management network element. Assuming that the video scheduling system is an LTE system, the terminal may be a UE, the access network device may be an enodeb, and the management network element may be a core network server, such as an MME, or a network server. The process of reporting the QoE information to the MME by the UE is supported by the third generation partnership project (3 GPP) 26.247.

Step 5032, the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal to obtain updated QoE information, where the QoE information sent by the terminal is the same as the parameters contained in the QoE information.

In the embodiment of the present invention, the access network device updates the QoE information according to the QoE information sent by the terminal, which is actually a process of replacing the QoE information with the QoE information sent by the terminal, and the updated QoE information is the same as the QoE information sent by the terminal.

In this embodiment of the present invention, since the terminal plays the video, the terminal may monitor various parameters of the video playing in real time to obtain the QoE information, and in this embodiment of the present invention, the QoE information sent by the terminal is the same as the parameters included in the QoE information, which may include: the video playing state of the terminal comprises the following steps: the current playing state, and the generation time of the current playing state, the playing state type of the current playing state may include an initial buffer state, a normal playing state, an interruption buffer state, and a playing end state. The QoE information sent by the terminal may further include a history playing status and a generation time of the history playing status, where the history playing status is a playing status from an initial buffer status generation time (i.e., a play starting time) to a time before the current time, and the playing status types of the history playing status may include an initial buffer status, a normal playing status, and an interruption buffer status. The current time is the time when the terminal generates the QoE information. Further, the QoE information sent by the terminal may further include: video pre-cache play duration, initial cache delay, average interrupt duration and interrupt times.

Because the terminal locally monitors the QoE information obtained by the video playing parameters, and the access network device actually estimates the QoE information at the terminal side, the QoE information reported by the terminal is received at the access network device each time, and the QoE information determined by the access network device can be updated (also called modified) according to the QoE information sent by the terminal. Therefore, the access network equipment can eliminate the error of the QoE information determined by the access network equipment, and the accuracy of the QoE information acquired by the access network equipment is effectively ensured. However, in the embodiment of the present invention, the access network device mainly determines the scheduling priority of the video service of the terminal according to the QoE information determined by the access network device, and the QoE information reported by the terminal only plays an auxiliary role. In practical applications, the access network device may determine the QoE information with 1TTI as a determination period, and the QoE information sent by the terminal is reported periodically, the period for sending the QoE information by the terminal may be configured loosely, and the reporting period may be 200ms (milliseconds) or 1s (seconds), which is much longer than the determination period of the access network device. Therefore, the terminal is ensured to send less signaling carrying QoE information, and certain correction can be carried out on errors generated by the QoE information determined by the access network equipment.

For example, in the embodiment of the present invention, the format of the QoE information reported by the terminal may be as shown in table 3, where the video playing status information of the terminal is added to record the type and the generation time (also referred to as start time) of the current playing status.

TABLE 3

In a third implementation, the video scheduling system includes: the method includes managing a network element, a terminal and an access network device, where the terminal may report QoE information to the management network element periodically, and the QoE information is forwarded to the access network device by the management network element, so that the access network device executes a closed-loop correction process, and the terminal may also report QoE information periodically through a communication interface established with the access network device, where the specific process refers to steps 5031 and 5032 in the third implementable manner. It can also be based on the architecture of the second implementable manner, as shown in fig. 5-8, where the functions of the various modules of the access network device can refer to fig. 5-5.

Step 5033, the access network device adjusts the scheduling priority of the video service of the terminal according to the updated QoE information.

The access network device may refer to the above processes of steps B1 to B4 to adjust the scheduling priority of the video service of the terminal according to the updated QoE information.

In the embodiment of the invention, the determination of the QoE information of the video service is mainly completed by the access network equipment, the algorithm of the QoE information determined by the access network equipment has certain robustness, and the QoE information reported by the terminal is only used for closed-loop correction of the QoE information determination of the access network equipment. Therefore, the access network equipment does not need to completely rely on the information reported by the terminal to acquire the QoE information, and the QoE information is mainly determined by the access network equipment.

And step 504, the access network equipment schedules data for the video service of the terminal according to the adjusted scheduling priority.

In the embodiment of the invention, the resources of the video service can be periodically scheduled by taking 1TTI as a scheduling period; therefore, the process of scheduling data for the video service of the terminal according to the adjusted scheduling priority may include:

and scheduling data for the video service of the terminal according to the scheduling priority of the current scheduling period, wherein the scheduling priority of the current scheduling period is determined according to the QoE information of the current determination period. The current scheduling period is also referred to as a current TTI.

Step 505, when detecting that the terminal is switched between cells, the access network device sends the QoE information to the access network device managing the target cell through the X2 interface, where the target cell is a cell to which the terminal is to be switched.

For example, as shown in fig. 5 to 9, assuming that a cell currently managed by the access network device is a source cell, after determining a target cell to which the terminal is to be handed over, the access network device may send QoE information to the access network device managing the target cell through an X2 interface between cells. Because the QoE information comprises the video playing state of the terminal determined by the access network equipment, after cell switching is carried out, the target cell can accurately know the video playing state of the terminal before switching according to the QoE information, follow-up video service scheduling is continued, and the video watching experience of a user of the terminal is ensured.

According to the embodiment, the access network equipment is used for scheduling the video service in combination with the video QoE information and the information that the terminal in the mobile environment experiences large-scale fluctuation of a channel, different scheduling priorities are configured for each playing state by distinguishing the current video playing state, the video experience is comprehensively improved, and the MOS is correspondingly improved. For example, when the video terminal is in an initial cache state or in an emergency state with a normal playing state and a short pre-cache duration, data is scheduled for the video terminal in an absolute priority manner by statically configuring a higher priority adjustment factor, so that initial cache delay and interruption times are reduced, and the video MOS is improved; when the video terminal is in an interrupt cache state, data are preferentially scheduled for the video terminal by configuring a priority adjustment factor which is a little lower than the priority adjustment factor, so that the interrupt cache time length is reduced, the MOS is improved, when the video terminal is in a normal playing state and in a non-emergency state with longer pre-cache time length, video resource scheduling can be directly not carried out, and resources are reserved for other terminals with needs; when the terminal is in normal playing and the pre-caching duration is moderate, the priority adjustment factor can be dynamically configured by combining the pre-caching duration and the current channel state information, the terminal with small caching duration or good channel condition is scheduled preferentially, and the terminal with large caching duration or poor channel condition is scheduled less. Therefore, the system spectrum efficiency can be improved, the QoE of the user and the video user capacity can be ensured, and the video MOS is also ensured.

And step 506, the access network equipment calculates the MOS of the video service of the terminal according to the QoE information.

MOS is an important indicator for measuring voice quality or video quality in a wireless communication system. In the related art, the calculation is performed by a terminal, in the related art, an MOS may be determined based on the number of video interruptions (also called the number of times of blocking), the cache delay, the video code rate, and the like detected by the terminal, and a higher MOS indicates a higher quality of service (QoS for short) performance.

In the embodiment of the present invention, the MOS is determined according to QoE information determined by the access network device, there are various MOS algorithms, and the calculation input parameters of the MOS may include: video pre-cache play duration, initial cache delay, average interrupt duration and interrupt times. The QoE information determined by the access network device may include these parameters, and the parameters in the QoE information of the base station are used as input parameters of the MOS, and the MOS may be calculated, so that MOS evaluation of network-side video experience may be implemented, and the access network device may obtain the current video experience level of the user in real time according to the MOS. In the embodiment of the invention, the calculated MOS can be used for network planning and network optimization, which is called network planning and network optimization for short. At this time, the architecture of the video scheduling system may refer to fig. 5-5 or fig. 5-8, and the access network device may use the QoE information determined in real time as a standard for video scheduling, as well as a MOS evaluation of a video at the network side, to obtain a current video experience level of the user in real time, and provide the network specification and network optimization as a reference.

It should be noted that, the order of the steps of the method for acquiring experience quality information provided in the embodiment of the present invention may be appropriately adjusted, and the steps may also be increased or decreased according to the situation, for example, step 507 may be directly performed after step 502, and any method that may be easily changed by those skilled in the art within the technical scope disclosed in the present invention should be included in the protection scope of the present invention, and therefore, no further description is given.

Fig. 5-10 to 5-13 are simulation comparison diagrams of curves of QoE performance index Cumulative Distribution Functions (CDFs) of users, where fig. 5-10 are curves of CDFs of initial buffering delay of a video terminal, a horizontal axis represents initial buffering delay, and a vertical axis represents cumulative percentage; FIGS. 5-11 are CDF plots of average interrupt duration for a video terminal, with the horizontal axis representing average interrupt duration; the vertical axis represents cumulative percentage; FIGS. 5-12 are graphs of the percent stuck (CDF) for a video terminal, with the horizontal axis representing percent stuck; the vertical axis represents cumulative percentage; FIGS. 5-13 are video mean subjective score (vMOS) CDF curves of a video terminal, in which the horizontal axis represents the mean subjective score; the vertical axis represents cumulative percentage. Each of fig. 5-10 through 5-13 includes: a normal schedule (normal schedule) curve, a QoE VR1.2 curve, a QoE rebt0.5 curve, a QoE VR0.5 curve, and a QoE ideal (QoE ideal) curve. The normal scheduling curve is a curve corresponding to the access network equipment adopting a PF algorithm to perform video service scheduling; the QoE VR1.2 curve is a curve corresponding to the access network device that has a larger code rate estimation value (refer to the code rate estimation value in step a 9) than an actual value (refer to the video code rate in step a 9) and performs video service scheduling, according to the embodiment of the present invention; the ideal QoE curve is a curve corresponding to the video service scheduling when the code rate estimation value is the same as the actual value (1 Mbps) in the ideal state of the access network equipment; the QoE VR0.5 curve is a curve corresponding to the video service scheduling of 0.5Mbps, wherein the code rate estimation value is smaller than the actual value of the access network equipment in a non-ideal state; the QoE rebt0.5 curve is a curve corresponding to video service scheduling performed when the interrupt cache duration threshold (refer to the interrupt cache duration threshold in step a 6) is 0.5s by using the QoE information acquisition method provided by the embodiment of the present invention.

As can be seen from fig. 5-10 to fig. 5-13, compared with scheduling by using a PF algorithm, the video scheduling algorithm provided in the embodiment of the present invention significantly improves the initial buffering delay of a video, and reduces the number of interrupts and the interrupt delay, thereby greatly improving the comprehensive index MOS of video experience. Moreover, when the code rate determination is large, that is, conservative, the embodiment may obtain a QoE performance similar to the ideal QoE determination scheme. The reason is that under the conservative condition of code rate determination, the base station schedules more wireless resources to the video terminal to ensure the video QoE.

In summary, according to the method for acquiring experience quality information provided in the embodiment of the present invention, since the access network device can determine the QoE information of the video service according to the scheduling data amount of the data scheduled for the video service of the terminal and the video code rate of the terminal, the terminal does not need to report the QoE information through a signaling, and waste of air interface resources is effectively reduced, so that consumption of communication resources is reduced in the process of processing the video service. Besides, the access network equipment can determine the QoE information in real time, can also use the QoE information to perform wireless resource scheduling, and can combine the characteristics of large-scale channel fluctuation experienced by the access network equipment and the QoE information as the standard of resource scheduling in the wireless mobile environment of the video terminal to ensure the smooth playing of the video. The QoE information acquisition method provided by the embodiment of the invention can effectively improve the QoE of the video user and the video user capacity, and improve the system spectrum efficiency.

An embodiment of the present invention provides a video scheduling method, which may be used in a video scheduling system shown in fig. 1, and as shown in fig. 6, the method includes:

step 601, the access network device judges whether the terminal is in a mobile state.

Step 601 may refer to step B31 in the above embodiment, which is not described in detail in this embodiment of the present invention.

Step 602, when the terminal is in a mobile state, the access network device obtains the channel state information of the terminal at the current moment. Step 604 is performed.

Step 603, when the terminal is not in a mobile state, the access network device calculates the scheduling priority of the video service of the terminal according to a preset algorithm.

For example, when the terminal is not in a moving state, the priority adjustment factor Q may be calculated, where a is a maximum threshold of the buffer duration, and T is the video pre-buffer play duration indicated by the QoE information. Then, a priority calculation formula is adopted to determine the scheduling priority Pr, and the priority calculation formula is as follows: pr × Q Pr0, where Q is a priority adjustment factor and Pr0 is a base scheduling priority. The base scheduling priority is assigned to the terminal by a base scheduler of the access network device.

In practical application, other algorithms may also be used to calculate the scheduling priority of the terminal, which is not limited in the embodiment of the present invention.

Step 604, the access network equipment adjusts the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current moment.

In the embodiment of the present invention, the method for the access network device to adjust the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current time may have various realizable manners, and the following two realizable manners are taken as examples in the embodiment of the present invention:

in a first implementation manner, the scheduling priority of the video service of the terminal may be adjusted by determining whether the channel state at the current time is a large-scale channel fluctuation state.

Illustratively, adjusting the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current time includes:

step C1, judging whether the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

for example, determining whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state may include: when the SINR of the channel is greater than or equal to the sum of the signal-to-interference-plus-noise ratio SINR of the channel indicated by the channel state information at the current moment, the historical average SINR of the channel and a preset first cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state; and when the SINR of the channel is less than or equal to the difference between the historical average SINR of the channel and a preset second cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

For example, the determining whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state includes: when the SINR of the channel indicated by the channel state information at the current moment is larger than a preset good area threshold value, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state; and when the SINR of the channel indicated by the channel state information at the current moment is smaller than a preset severe region threshold value, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.

Step C1 may refer to step B33 in the above embodiments, which is not described in detail in this embodiment of the present invention.

And step C2, when the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state, adjusting the scheduling priority of the video service of the terminal according to the channel state information at the current moment of the terminal.

The method for adjusting the scheduling priority of the video service of the terminal according to the channel state information of the terminal at the current moment comprises the following steps:

and step C21, obtaining the video pre-cache playing time T at the current moment.

The video pre-cache playing time length is the time length of the data cached by the terminal for maintaining playing. In the embodiment of the present invention, the video pre-cache playing time at the current time may be obtained from the QoE information, or may be obtained in other manners, which is not limited in the embodiment of the present invention. When the pre-cached playing time length is obtained from the QoE information, the QoE information may be QoE information reported by the terminal, or may be determined by the access network device, and the determining method may refer to the above steps 501 to 502, which is not limited in this embodiment.

And step C22, determining a priority adjustment factor Q by using an adjustment factor calculation formula according to the video pre-cache playing time T and the channel state information at the current moment.

And step C23, taking the product of the priority adjustment factor Q and the basic scheduling priority of the preset video service as the scheduling priority of the terminal, wherein the basic scheduling priority of the preset video service is allocated to the terminal by the basic scheduler of the access network equipment.

Wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

In step C23, the step B341 may be referred to as a method for obtaining R, which is not described in detail in this embodiment of the present invention.

In a second implementation, the scheduling priority of the video service of the terminal may be adjusted based on the historical average rate and the amount of data acquired at the current time.

and D1, determining the scheduled data amount TxTbSize (n) scheduled by the access network equipment at the nth time.

In this embodiment of the present invention, when txtbsize (n) is obtained from QoE information determined by an access network device, or obtained in another manner, for example, directly obtained from a scheduler of the access network device, which is not limited in this embodiment of the present invention. When txtbsize (n) is obtained from the QoE information, the method for determining the QoE information may refer to the above steps 501 to 502, which is not limited in this embodiment.

Step D2, determining the instantaneous rate r (n) of video service transmission of the terminal at the nth moment according to the channel state information reported by the terminal;

step D3, calculating the historical average rate R (n) of the video service of the terminal at the nth time according to a historical average rate calculation formula and the data volume TxTbSize (n) acquired by the terminal at the nth time, wherein the historical average rate calculation formula is as follows:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

step D4, calculating the scheduling priority P (n) of the video service of the terminal at the nth time according to a proportional fair PF scheduling priority formula, the historical average rate R (n) of the video service of the terminal at the nth time and the instantaneous rate r (n) of the video service transmission of the terminal at the nth time, wherein the PF scheduling priority formula is as follows:

α is a filter coefficient set for the video service of the terminal by adopting an alpha filter algorithm, R (n-1) is the historical average rate of the video service of the terminal at the n-1 moment, n is greater than or equal to 1, and when n is equal to 1, R (n-1) is a preset value.

Reference may be made to steps B36 to B38 in the above embodiments for steps D2 to D4, which are not described in detail in this embodiment of the present invention.

Step 605, the access network device schedules data for the video service of the terminal according to the adjusted scheduling priority.

In summary, according to the video scheduling method provided in the embodiment of the present invention, since the access network device can adjust the scheduling priority of the terminal according to the channel state information of the terminal at the current time when the terminal is in the mobile state, and schedule data for the video service of the terminal according to the adjusted scheduling priority, the video quality of the terminal in the mobile state can be effectively ensured.

It should be noted that the embodiments of the present invention can be mutually referred and combined, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

An embodiment of the present invention provides an access network device 70, as shown in fig. 7-1, including:

an obtaining unit 701, configured to obtain a scheduling data amount of a video service of a terminal and a video code rate of the video service of the terminal when an access network device determines that the access network device is video service scheduling data of the terminal;

a determining unit 702, configured to determine QoE information of the video service of the terminal according to the scheduling data amount and the video code rate.

In summary, in the access network device provided in the embodiment of the present invention, because the determining unit may determine the QoE information of the video service according to the scheduling data amount of the data scheduled for the video service of the terminal and the video code rate of the terminal, which are acquired by the acquiring unit, the terminal does not need to report through a signaling, and waste of air interface resources is effectively reduced, so that consumption of communication resources is reduced in a processing process of the video service.

Optionally, as shown in fig. 7-2, the access network device 70 further includes:

an adjusting unit 703, configured to adjust a scheduling priority of the video service of the terminal according to the QoE information;

a scheduling unit 704, configured to schedule data for the video service of the terminal according to the adjusted scheduling priority.

Optionally, the scheduling unit 704 is configured to:

Optionally, the determining unit 702 is configured to:

Optionally, as shown in fig. 7-3, the adjusting unit 703 includes:

a first adjusting subunit 7031, configured to adjust the scheduling priority to a first priority when the QoE information indicates that the current playing state is an initial cache state, or the QoE information indicates that the current playing state is a normal playing state and a video pre-cache playing duration is not greater than a preset minimum threshold of cache duration, where the video pre-cache playing duration is a duration that data cached by the terminal is kept playing;

a second adjusting subunit 7032, configured to adjust the scheduling priority to a second priority when the QoE information indicates that the current playing status is an interrupted cache status;

a third adjusting subunit 7033, configured to adjust the scheduling priority according to the QoE information and the channel state information of the terminal at the current time when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is between the preset minimum threshold of cache time length and the preset maximum threshold of cache time length;

a fourth adjusting subunit 7034, configured to adjust the scheduling priority to a third priority when the QoE information indicates that the current playing status is a normal playing status and the video pre-cache playing duration is greater than the preset maximum threshold of cache duration, where the first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to a preset minimum priority.

Optionally, as shown in fig. 7-4, the third adjusting subunit 7033 includes:

a first judgment subunit 70331, configured to judge whether the terminal is in a moving state;

an obtaining subunit 70332, configured to obtain channel state information of the terminal at the current time when the terminal is in a moving state;

a second determining subunit 70333, configured to determine whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state;

a priority adjusting subunit 70334, configured to, when the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state, adjust the scheduling priority according to the video pre-cache playing duration indicated by the QoE information and the channel large-scale fluctuation level of the terminal.

Optionally, the priority adjustment subunit 70334 is configured to:

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the second determining subunit 70333 is configured to:

Optionally, the third adjusting subunit 7033 is configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

Optionally, as shown in fig. 7-5, the determining unit 702 includes:

a first determining subunit 7021, configured to determine that the video playing state is an initial buffering state when a RLC buffer on the access network device starts to schedule data for a video service of the terminal, and record a generation time of the initial buffering state;

a second determining subunit 7022, configured to determine, after the initial caching state starts, whether a video pre-caching playing time length is greater than a preset initial caching time length threshold according to the scheduling data amount;

a third determining subunit 7023, configured to determine that the video playing state is a first normal playing state when the video pre-cache playing time length is greater than a preset initial cache time length threshold, and record a time of generation of the first normal playing state;

a fourth determining subunit 7024, configured to determine, after the first normal play state starts, whether data cached in a video buffer of the terminal is exhausted according to the scheduling data amount and the video code rate;

a fifth determining subunit 7025, configured to determine that the video playing state is an interrupted cache state when the data cached in the video cache area of the terminal is exhausted, and record a generation time of the interrupted cache state;

a sixth determining subunit 7026, configured to determine, after the interruption buffer status starts, whether a video pre-buffer playing duration is greater than a preset interruption buffer duration threshold according to the scheduling data amount and the video code rate;

a seventh determining subunit 7027, configured to determine that the video playing state is a normal playing state again when the video pre-cache playing time length is greater than a preset interrupt cache time length threshold, and record a generation time of the normal playing state again;

an eighth determining subunit 7028, configured to determine that the video playing state is a playing ending state when the playing time corresponding to the data amount in the RLC buffer is 0 and the video pre-buffer playing time is equal to 0, and record a generation time of the playing ending state;

a generating subunit 7029, configured to generate the QoE information according to the video playing status and the generation time of the video playing status.

Optionally, the second determining subunit 7022 is configured to:

Optionally, the fourth determining subunit 7024 is configured to:

the scheduling unit 703 is configured to:

Optionally, as shown in fig. 7 to 6, the access network device 70 further includes:

a calculating unit 705, configured to calculate an average subjective score MOS of the video service of the terminal according to the QoE information, where the QoE information includes: the method comprises the following steps of video pre-cache playing time, initial cache time delay, average interruption time and interruption times, wherein the video pre-cache playing time is the time for maintaining playing of data cached by a terminal, the initial cache time delay is the time delay from the generation time of an initial cache state to the generation time of a first normal playing state, the average interruption time is the average value of the interruption time of the terminal in a preset time period, and the interruption times are the times for generating the interruption cache state in the preset time period.

An embodiment of the present invention provides a terminal 80, as shown in fig. 8, including:

a generating unit 801, configured to generate QoE information, where the QoE information includes a video playing status of the terminal and a generation time of the video playing status, and the QoE information is the same as a parameter included in QoE information determined by an access network device, and the QoE information determined by the access network device is determined by the access network device according to a scheduling data amount of data scheduled for a video service of the terminal and a video bitrate of the terminal;

a sending unit 802, configured to send the QoE information to the access network device, so that the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal, to obtain updated QoE information.

In summary, in the terminal provided in the embodiment of the present invention, the generating unit may generate the QoE information, and the sending unit reports the QoE information to the access network device, so that the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal, so that the QoE information acquired by the access network device is more accurate, and the accuracy of acquiring the QoE information is improved.

Optionally, the sending unit 802 is configured to:

An embodiment of the present invention provides a quality of experience information obtaining system, including the access network device 80 shown in any one of fig. 7-1, 7-2, or 7-6, and at least one terminal. The terminal may be the terminal 80 shown in fig. 8. The quality of experience information acquisition system may include the video scheduling system described above.

An embodiment of the present invention provides an access network device 90, as shown in fig. 9-1, including:

a judging unit 901, configured to judge whether the terminal is in a moving state;

an obtaining unit 902, configured to obtain channel state information of the terminal at the current time when the terminal is in a mobile state;

an adjusting unit 903, configured to adjust a scheduling priority of a video service of the terminal according to channel state information of the terminal at the current time;

a scheduling unit 904, configured to schedule data for the video service of the terminal according to the scheduling priority.

In summary, in the access network device provided in the embodiment of the present invention, because the adjusting unit can adjust the scheduling priority of the terminal according to the channel state information of the terminal at the current time when the determining unit determines that the terminal is in the moving state, and the scheduling unit schedules data for the video service of the terminal according to the adjusted scheduling priority, the video quality of the terminal in the moving state can be effectively ensured.

Optionally, the adjusting unit 903, as shown in fig. 9-2, includes:

a determining subunit 9031, configured to determine whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state;

an adjusting subunit 9032, configured to adjust the scheduling priority according to the channel state information of the terminal at the current time, where the channel state indicated by the channel state information of the current time is a large-scale channel fluctuation state.

Optionally, the adjusting subunit 0932 is configured to:

acquiring the video pre-cache playing time T at the current moment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the determining subunit 9031 is configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

An embodiment of the present invention provides a video scheduling system, which includes the access network device 90 shown in fig. 9-1, and at least one terminal.

An embodiment of the present invention provides an access network device 100, as shown in fig. 10-1, including:

a processor 1001, configured to obtain a scheduling data amount of a video service of a terminal and a video code rate of the video service of the terminal when an access network device determines that the access network device schedules data for the video service of the terminal;

the processor 1001 is further configured to determine QoE information of the video service of the terminal according to the scheduling data amount and the video code rate.

In summary, in the access network device provided in the embodiment of the present invention, since the processor can determine the QoE information of the video service according to the scheduling data amount of the data scheduled for the video service of the terminal and the video code rate of the terminal, the terminal does not need to report the QoE information through a signaling, and waste of air interface resources is effectively reduced, so that consumption of communication resources is reduced in the processing process of the video service.

Optionally, the processor 1001 is further configured to:

Optionally, as shown in fig. 10-2, the access network device 100 further includes: the receiver(s) 1002 are (are) connected,

the receiver 1002 is configured to receive QoE information sent by the terminal;

the processor 1001 is further configured to:

Optionally, the receiver 1002 is configured to:

Optionally, the processor 1001 is further configured to:

judging whether the terminal is in a moving state;

Optionally, the processor 1001 is further configured to:

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the processor 1001 is further configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

Optionally, the normal play state includes a first normal play state and a second normal play state, and the processor 1001 is further configured to:

Optionally, the processor 1001 is further configured to:

the processor 1001 is further configured to: and scheduling data for the video service of the terminal according to the scheduling priority of the current scheduling period, wherein the scheduling priority of the current scheduling period is determined according to the QoE information determined by the current determination period.

Optionally, the processor 1001 is further configured to:

An embodiment of the present invention provides a terminal 110, as shown in fig. 11, including:

a processor 1101, configured to generate QoE information, where the QoE information includes a video playing status of the terminal and a generation time of the video playing status, and the QoE information is the same as a parameter included in QoE information determined by an access network device, and the QoE information determined by the access network device is determined by the access network device according to a scheduling data amount of data scheduled for a video service of the terminal and a video bitrate of the terminal;

a transmitter 1102, configured to send the QoE information to the access network device, so that the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal, to obtain updated QoE information.

In summary, in the terminal provided in the embodiment of the present invention, the processor may generate the QoE information and the QoE information is reported to the access network device by the transmitter, so that the access network device updates the QoE information determined by the access network device by using the QoE information sent by the terminal, which can make the QoE information acquired by the access network device more accurate and improve the accuracy of acquiring the QoE information.

Optionally, the transmitter 1102 is configured to:

The embodiment of the invention provides a system for acquiring experience quality information, which comprises access network equipment 100 shown in 10-1 or 10-2 and at least one terminal. The terminal may be the terminal 110 shown in fig. 11. The quality of experience information acquisition system may include the video scheduling system described above.

An embodiment of the present invention provides an access network device 120, as shown in fig. 12, including: a processor 1201, the processor 1201 configured to:

judging whether the terminal is in a moving state;

In summary, according to the access network device provided in the embodiment of the present invention, because the processor can adjust the scheduling priority of the terminal according to the channel state information of the terminal at the current time when the terminal is in the mobile state, and schedule data for the video service of the terminal according to the adjusted scheduling priority, the video quality of the terminal in the mobile state can be effectively ensured.

Optionally, the processor 1201 is further configured to:

acquiring the video pre-cache playing time T at the current moment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

Optionally, the processor 1201 is further configured to:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

An embodiment of the present invention provides a video scheduling system, which includes the access network device 120 described in fig. 12, and at least one terminal.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims

A method for acquiring QoE information is characterized by comprising the following steps:

when the access network equipment determines that the video service scheduling data of the terminal is obtained, acquiring the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal;

and determining QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.
The method of claim 1, wherein after the determining QoE information of the video service of the terminal according to the scheduling data amount and the video bitrate, the method further comprises:

adjusting the scheduling priority of the video service of the terminal according to the QoE information;

and scheduling data for the video service of the terminal according to the adjusted scheduling priority.
The method of claim 2, wherein the QoE information comprises a video playing status of the terminal and a generation time of the video playing status.
The method of claim 2, wherein the adjusting the scheduling priority of the video traffic of the terminal according to the QoE information comprises:

calculating the average subjective MOS of the video service of the terminal according to the QoE information;

and adjusting the scheduling priority of the video service of the terminal according to the MOS, wherein the numerical value of the MOS is negatively related to the scheduling priority of the video service.
The method according to claim 1 or 2, wherein the determining QoE information of the video service of the terminal according to the scheduling data amount and the video bitrate comprises:

carrying out redundancy processing on the video code rate to obtain a code rate estimated value, wherein the code rate estimated value is greater than the video code rate;

and determining QoE information of the video service of the terminal according to the scheduling data volume and the code rate estimation value.
The method according to claim 3, wherein the video playing status of the terminal comprises: the playing state types of the current playing state comprise an initial cache state, a normal playing state, an interruption cache state and a playing ending state.
The method of claim 6, wherein the adjusting the scheduling priority of the video traffic of the terminal according to the QoE information comprises:

when the QoE information indicates that the current playing state is an initial cache state, or the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is not greater than a preset minimum threshold of cache time length, adjusting the scheduling priority to be a first priority, wherein the video pre-cache playing time length is the time length of the data cached by the terminal for maintaining playing;

when the QoE information indicates that the current playing state is an interrupted cache state, adjusting the scheduling priority to a second priority;

when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is between the preset minimum threshold value of cache time length and the preset maximum threshold value of cache time length, adjusting the scheduling priority according to the QoE information and the channel state information of the terminal at the current moment;

and when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time length is greater than the preset maximum cache time length threshold, adjusting the scheduling priority to be a third priority, wherein the first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to a preset minimum priority.
The method of claim 7, wherein the adjusting the scheduling priority according to the QoE information and the channel state information of the terminal at the current time comprises:

judging whether the terminal is in a moving state;

when the terminal is in a mobile state, acquiring channel state information of the terminal at the current moment;

judging whether the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state or not;

and when the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state, adjusting the scheduling priority according to the video pre-cache playing time indicated by the QoE information and the channel large-scale fluctuation level of the terminal.
The method of claim 8, wherein the adjusting the scheduling priority according to the video pre-cache play duration indicated by the QoE information and the channel large-scale fluctuation level of the terminal comprises:

determining a priority adjustment factor Q by adopting an adjustment factor calculation formula according to the video pre-cache playing time T indicated by the QoE information and the channel state information at the current moment;

taking the product of the priority adjustment factor Q and the basic scheduling priority of the preset video service as the scheduling priority, wherein the basic scheduling priority of the preset video service is allocated to the terminal by the basic scheduler of the access network equipment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

the buffer memory time length A is a preset maximum buffer memory time length threshold, the buffer memory time length R is a constant which is determined according to the current channel state information and reflects the large-scale fluctuation level of the channel of the terminal, and the R is positively correlated with the good degree of the channel state.
The method of claim 9, wherein the determining whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state comprises:

when the SINR of the channel is greater than or equal to the sum of the signal-to-interference-plus-noise ratio (SINR) of the channel indicated by the channel state information at the current moment, the historical average SINR of the channel and a preset first cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

and when the SINR of the channel is smaller than or equal to the difference between the historical average SINR of the channel and a preset second cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.
The method of claim 9, wherein the determining whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state comprises:

when the SINR of the channel indicated by the channel state information at the current moment is greater than a preset good area threshold, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

and when the SINR of the channel indicated by the channel state information at the current moment is smaller than a preset severe region threshold value, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.
The method of claim 7, wherein the adjusting the scheduling priority according to the QoE information and the channel state information of the terminal at the current time comprises:

determining the scheduling data volume TxTbSize (n) scheduled by the access network equipment at the nth time according to the QoE information;

determining the instantaneous rate r (n) of video service transmission of the terminal at the nth moment according to the channel state information reported by the terminal;

calculating the historical average rate R (n) of the video service of the terminal at the nth moment according to a historical average rate calculation formula and the scheduling data amount TxTbSize (n) scheduled by the access network equipment at the nth moment, wherein the historical average rate calculation formula is as follows:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

calculating the scheduling priority P (n) of the video service of the terminal at the nth moment according to a proportional fair PF scheduling priority formula, the historical average rate R (n) of the video service of the terminal at the nth moment and the instantaneous rate r (n) of the video service transmission of the terminal at the nth moment, wherein the PF scheduling priority formula is as follows:

wherein α is a filter coefficient set for the video service of the terminal by adopting an alpha filter algorithm, R (n-1) is a historical average rate of the video service of the terminal at the n-1 th moment, n is greater than or equal to 1, and when n is equal to 1, R (n-1) is a preset value.
The method of claim 7, wherein a scheduling priority of the video traffic of the terminal is equal to a product of a priority adjustment factor and a preset base scheduling priority of the video traffic, the scheduling priority being adjusted by adjusting the priority adjustment factor, the preset base scheduling priority of the video traffic being allocated to the terminal by a base scheduler of the access network device.
The method of claim 7, wherein the normal play status comprises a first normal play status and a second normal play status, and the determining QoE information of the video service of the terminal according to the scheduling data amount and the video bitrate comprises:

when a Radio Link Control (RLC) buffer on the access network equipment starts to schedule data for the video service of the terminal, determining that the video playing state is an initial buffering state, and recording the generation time of the initial buffering state;

after the initial cache state is started, determining whether the video pre-cache playing time length is greater than a preset initial cache time length threshold value according to the scheduling data amount;

when the video pre-cache playing time length is larger than a preset initial cache time length threshold value, determining that the video playing state is a first normal playing state, and recording the generation moment of the first normal playing state;

after the first normal playing state is started, determining whether the data cached in a video cache region of the terminal is exhausted according to the scheduling data volume and the video code rate;

when the data cached in the video cache region of the terminal is exhausted, determining that the video playing state is an interrupted cache state, and recording the generation moment of the interrupted cache state;

after the interruption cache state starts, determining whether the video pre-cache playing time length is greater than a preset interruption cache time length threshold value according to the scheduling data volume and the video code rate;

when the video pre-cache playing time length is greater than a preset interruption cache time length threshold value, determining that the video playing state is a normal playing state again, and recording the generation moment of the normal playing state again;

when the playing time corresponding to the data volume in the RLC buffer is 0 and the video pre-buffer playing time is equal to 0, determining that the video playing state is a playing ending state, and recording the generation moment of the playing ending state;

and generating the QoE information according to the video playing state and the generation time of the video playing state.
The method of claim 14, wherein the determining whether the video pre-buffer playing time length is greater than a preset initial buffer time length threshold according to the scheduling data amount comprises:

determining the scheduling data volume from the generation time of the initial cache state to the current time according to the scheduling data volume;

taking the scheduling data volume from the generation time of the initial cache state to the current time as the pre-cache data volume of the current time;

determining the video pre-cache playing time length of the current moment according to the pre-cache data volume of the current moment;

and judging whether the video pre-cache playing time at the current moment is greater than a preset initial cache time threshold.
The method of claim 14, wherein the determining whether the data buffered in the video buffer of the terminal is exhausted according to the scheduling data amount and the video bitrate comprises:

determining the scheduling data amount y from the generation time of the first normal playing state to the current time according to the scheduling data amount,

determining the pre-cache data volume x of the generation moment of the first normal playing state;

determining a data volume z played by the terminal from the generation time of the first normal playing state to the current time according to the video code rate m, wherein z is m x t, and t is the duration from the generation time of the first normal playing state to the current time;

determining a pre-cache data amount u at the current moment, wherein the u is x + y-z;

when the pre-cache data volume at the current moment is 0, determining that the data cached in the video cache region of the terminal is exhausted;

and when the pre-cached data amount at the current moment is larger than 0, determining that the data cached in the video cache region of the terminal is not exhausted.
The method of claim 2, wherein the QoE information is obtained periodically with 1TTI as a determination period; the resources of the video service are periodically scheduled by taking 1TTI as a scheduling period;

the scheduling data for the video service of the terminal according to the adjusted scheduling priority includes:

and scheduling data for the video service of the terminal according to the scheduling priority of the current scheduling period, wherein the scheduling priority of the current scheduling period is determined according to the QoE information determined by the current determination period.
The method of claim 1, wherein after the determining QoE information of the video service of the terminal according to the scheduling data amount and the video bitrate, the method further comprises:

calculating the average subjective score MOS of the video service of the terminal according to the QoE information, wherein the QoE information comprises: the method comprises the following steps of video pre-cache playing time, initial cache time delay, average interruption time and interruption times, wherein the video pre-cache playing time is the time for maintaining playing of data cached by a terminal, the initial cache time delay is the time delay from the generation time of an initial cache state to the generation time of a first normal playing state, the average interruption time is the average value of the interruption time of the terminal in a preset time period, and the interruption times are the times for generating the interruption cache state in the preset time period.
An access network device, comprising:

the access network equipment comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the scheduling data volume of the video service of the terminal and the video code rate of the video service of the terminal when the access network equipment determines to be the video service scheduling data of the terminal;

and the determining unit is used for determining QoE information of the video service of the terminal according to the scheduling data volume and the video code rate.
The apparatus of claim 19, further comprising:

an adjusting unit, configured to adjust a scheduling priority of the video service of the terminal according to the QoE information;

and the scheduling unit is used for scheduling data for the video service of the terminal according to the adjusted scheduling priority.
The apparatus of claim 20, wherein the QoE information comprises a video playing status of the terminal and a generation time of the video playing status.
The apparatus of claim 20, wherein the scheduling unit is configured to:

calculating the average subjective MOS of the video service of the terminal according to the QoE information;

and adjusting the scheduling priority of the video service of the terminal according to the MOS, wherein the numerical value of the MOS is negatively related to the scheduling priority of the video service.
The apparatus according to claim 19 or 20, wherein the determining unit is configured to:

carrying out redundancy processing on the video code rate to obtain a code rate estimated value, wherein the code rate estimated value is greater than the video code rate;

and determining QoE information of the video service of the terminal according to the scheduling data volume and the code rate estimation value.
The apparatus of claim 21, wherein the video playing status of the terminal comprises: the playing state types of the current playing state comprise an initial cache state, a normal playing state, an interruption cache state and a playing ending state.
The apparatus of claim 24, wherein the adjustment unit comprises:

a first adjusting subunit, configured to adjust the scheduling priority to a first priority when the QoE information indicates that the current playing state is an initial cache state, or the QoE information indicates that the current playing state is a normal playing state and a video pre-cache playing duration is not greater than a preset minimum threshold of cache duration, where the video pre-cache playing duration is a duration maintained for playing data cached by a terminal;

a second adjusting subunit, configured to adjust the scheduling priority to a second priority when the QoE information indicates that the current playing status is an interrupted cache status;

a third adjusting subunit, configured to adjust the scheduling priority according to the QoE information and the channel state information of the terminal at the current time when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing time is between the preset minimum threshold of cache time and the preset maximum threshold of cache time;

a fourth adjusting subunit, configured to adjust the scheduling priority to a third priority when the QoE information indicates that the current playing state is a normal playing state and the video pre-cache playing duration is greater than the preset maximum threshold of cache duration, where the first priority is greater than or equal to the second priority, the second priority is greater than the third priority, and the third priority is greater than or equal to a preset minimum priority.
The apparatus of claim 25, wherein the third adjustment subunit comprises:

the first judging subunit is used for judging whether the terminal is in a moving state;

the acquiring subunit is used for acquiring the channel state information of the terminal at the current moment when the terminal is in a moving state;

the second judging subunit is configured to judge whether the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state;

and the priority adjusting subunit is configured to adjust the scheduling priority according to the video pre-cache playing duration indicated by the QoE information and the channel large-scale fluctuation level of the terminal, where the channel state indicated by the channel state information at the current time is a large-scale channel fluctuation state.
The apparatus of claim 26, wherein the priority adjustment subunit is configured to:

determining a priority adjustment factor Q by adopting an adjustment factor calculation formula according to the video pre-cache playing time T indicated by the QoE information and the channel state information at the current moment;

taking the product of the priority adjustment factor Q and the basic scheduling priority of the preset video service as the scheduling priority, wherein the basic scheduling priority of the preset video service is allocated to the terminal by the basic scheduler of the access network equipment;

wherein, the formula for calculating the adjustment factor is as follows:

Q＝A/T*R；

the buffer memory time length A is a preset maximum buffer memory time length threshold, the buffer memory time length R is a constant which is determined according to the current channel state information and reflects the large-scale fluctuation level of the channel of the terminal, and the R is positively correlated with the good degree of the channel state.
The apparatus of claim 27, wherein the second determining subunit is configured to:

when the SINR of the channel is greater than or equal to the sum of the signal-to-interference-plus-noise ratio (SINR) of the channel indicated by the channel state information at the current moment, the historical average SINR of the channel and a preset first cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

and when the SINR of the channel is smaller than or equal to the difference between the historical average SINR of the channel and a preset second cell variable, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.
The apparatus of claim 27, wherein the second determining subunit is configured to:

when the SINR of the channel indicated by the channel state information at the current moment is greater than a preset good area threshold, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state;

and when the SINR of the channel indicated by the channel state information at the current moment is smaller than a preset severe region threshold value, determining that the channel state indicated by the channel state information at the current moment is a large-scale channel fluctuation state.
The apparatus of claim 25, wherein the third adjustment subunit is configured to:

determining the scheduling data volume TxTbSize (n) scheduled by the access network equipment at the nth time according to the QoE information;

determining the instantaneous rate r (n) of video service transmission of the terminal at the nth moment according to the channel state information reported by the terminal;

calculating the historical average rate R (n) of the video service of the terminal at the nth moment according to a historical average rate calculation formula and the scheduling data amount TxTbSize (n) scheduled by the access network equipment at the nth moment, wherein the historical average rate calculation formula is as follows:

R(n)＝(1-α)×R(n-1)+α×TxTbSize(n)；

calculating the scheduling priority P (n) of the video service of the terminal at the nth moment according to a proportional fair PF scheduling priority formula, the historical average rate R (n) of the video service of the terminal at the nth moment and the instantaneous rate r (n) of the video service transmission of the terminal at the nth moment, wherein the PF scheduling priority formula is as follows:

wherein α is a filter coefficient set for the video service of the terminal by adopting an alpha filter algorithm, R (n-1) is a historical average rate of the video service of the terminal at the n-1 th moment, n is greater than or equal to 1, and when n is equal to 1, R (n-1) is a preset value.
The apparatus of claim 25, wherein a scheduling priority of the video traffic of the terminal is equal to a product of a priority adjustment factor and a preset base scheduling priority of the video traffic, the scheduling priority being adjusted by adjusting the priority adjustment factor, the preset base scheduling priority of the video traffic being allocated to the terminal by a base scheduler of the access network device.
The apparatus of claim 25, wherein the determining unit comprises:

a first determining subunit, configured to determine that the video playing state is an initial buffering state when a RLC buffer on the access network device starts to schedule data for a video service of the terminal, and record a generation time of the initial buffering state;

the second determining subunit is configured to determine, after the initial cache state starts, whether a video pre-cache playing time length is greater than a preset initial cache time length threshold according to the scheduling data amount;

the third determining subunit is used for determining that the video playing state is a first normal playing state when the video pre-cache playing time length is greater than a preset initial cache time length threshold value, and recording the generation time of the first normal playing state;

a fourth determining subunit, configured to determine, after the first normal play state starts, whether data cached in a video cache region of the terminal is exhausted according to the scheduling data amount and the video code rate;

a fifth determining subunit, configured to determine that the video playing state is an interrupted cache state when data cached in a video cache region of the terminal is exhausted, and record a generation time of the interrupted cache state;

a sixth determining subunit, configured to determine, after the interruption buffer state starts, whether a video pre-buffer playing duration is greater than a preset interruption buffer duration threshold according to the scheduling data amount and the video code rate;

a seventh determining subunit, configured to determine that the video playing state is a normal playing state again when the video pre-cache playing time length is greater than a preset interrupt cache time length threshold, and record a generation time of the normal playing state again;

an eighth determining subunit, configured to determine that the video playing state is a playing ending state when a playing time corresponding to the data amount in the RLC buffer is 0 and a video pre-buffer playing time is equal to 0, and record a generation time of the playing ending state;

and the generation subunit is used for generating the QoE information according to the video playing state and the generation time of the video playing state.
The apparatus of claim 32, wherein the second determining subunit is configured to:

determining the scheduling data volume from the generation time of the initial cache state to the current time according to the scheduling data volume;

taking the scheduling data volume from the generation time of the initial cache state to the current time as the pre-cache data volume of the current time;

determining the video pre-cache playing time length of the current moment according to the pre-cache data volume of the current moment;

and judging whether the video pre-cache playing time at the current moment is greater than a preset initial cache time threshold.
The apparatus of claim 32, wherein the fourth determining subunit is configured to:

determining the scheduling data amount y from the generation time of the first normal playing state to the current time according to the scheduling data amount,

determining the pre-cache data volume x of the generation moment of the first normal playing state;

determining a data volume z played by the terminal from the generation time of the first normal playing state to the current time according to the video code rate m, wherein z is m x t, and t is the duration from the generation time of the first normal playing state to the current time;

determining a pre-cache data amount u at the current moment, wherein the u is x + y-z;

when the pre-cache data volume at the current moment is 0, determining that the data cached in the video cache region of the terminal is exhausted;

and when the pre-cached data amount at the current moment is larger than 0, determining that the data cached in the video cache region of the terminal is not exhausted.
The apparatus of claim 20, wherein the QoE information is obtained periodically with 1TTI as a determination period; the resources of the video service are periodically scheduled by taking 1TTI as a scheduling period;

the scheduling unit is configured to:

and scheduling data for the video service of the terminal according to the scheduling priority of the current scheduling period, wherein the scheduling priority of the current scheduling period is determined according to the QoE information determined by the current determination period.
The apparatus of claim 19, further comprising:

a calculating unit, configured to calculate an average subjective score MOS of the video service of the terminal according to the QoE information, where the QoE information includes: the method comprises the following steps of video pre-cache playing time, initial cache time delay, average interruption time and interruption times, wherein the video pre-cache playing time is the time for maintaining playing of data cached by a terminal, the initial cache time delay is the time delay from the generation time of an initial cache state to the generation time of a first normal playing state, the average interruption time is the average value of the interruption time of the terminal in a preset time period, and the interruption times are the times for generating the interruption cache state in the preset time period.
A quality of experience information acquisition system comprising an access network device according to any one of claims 19 to 36, and at least one terminal.