CN113596994A - Wireless video transmission resource allocation method and device and electronic equipment - Google Patents
Wireless video transmission resource allocation method and device and electronic equipment Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
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- H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/238—Interfacing the downstream path of the transmission network, e.g. adapting the transmission rate of a video stream to network bandwidth; Processing of multiplex streams
- H04N21/2385—Channel allocation; Bandwidth allocation
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Abstract
The embodiment of the application provides a wireless video transmission resource allocation method, a wireless video transmission resource allocation device and electronic equipment. The method comprises the following steps: respectively calculating the carrier-to-interference ratio of each user of the resource block in the first time slot; respectively calculating the resource allocation weight of each user of the resource block in the first time slot; respectively multiplying the carrier-to-interference ratio of each user of the resource block in the first time slot by the resource allocation weight of the user to obtain a resource allocation parameter value of each user of the resource block in the first time slot; and allocating the wireless video transmission resource of the first time slot of the resource block to the user with the maximum resource allocation parameter value. According to the method of the embodiment of the application, the resource allocation combining the self-change of the user channel and the mutual change of the channels among users is realized; compared with the prior art, the method can achieve a better balance effect between the averaging performance and the efficiency performance, so that the average experience and the throughput of the user are better considered, and the resource waste is reduced.
Description
Technical Field
The present application relates to the field of intelligent terminal technologies, and in particular, to a method and an apparatus for allocating wireless video transmission resources, and an electronic device.
Background
With the increasing enhancement of the terminal shooting function, the video gradually becomes the mainstream scene of the user using the terminal, and the data volume of the video is much larger than that of the traditional text and picture information, so that great pressure is caused on the transmission of intelligent terminals such as mobile phones. In wireless video resource transmission, the resource allocation of a user channel by a base station has great influence on the video experience of a final terminal user, the allocated resource is good for multiple users, the allocated resource is few, and the user experience is poor, so that a good channel resource allocation method has a crucial effect on the experience of the terminal user.
In a practical application scenario, the resource allocation of the user channel needs to consider the averageness, that is, resources are allocated fairly for each user with resource demand, so that the difference of user experience is avoided. Further, the resource allocation of the user channel needs to consider efficiency, that is, resources are preferentially allocated to users with high transmission capability of the user channel, so as to achieve optimal data throughput. Since there are differences between transmission capacities of different user channels, there is usually a contradiction between the averaging and efficiency of resource allocation of the user channels, and the optimal averaging and efficiency cannot be achieved at the same time when resource allocation of the user channels is performed, but only a balance can be obtained between the averaging and efficiency to achieve both averaging and efficiency. However, in the application scheme of the prior art, the resource allocation of the user channel is not well balanced in terms of averaging and efficiency, so that the experience of the end user is not ideal.
Disclosure of Invention
The application provides a wireless video transmission resource allocation method, a device and electronic equipment, and also provides a computer readable storage medium, aiming at the problem that the average performance and efficiency cannot be balanced when wireless video transmission resources are allocated in the prior art, so that the user experience is not ideal.
The embodiment of the application adopts the following technical scheme:
in a first aspect, an embodiment of the present application provides a method for allocating wireless video transmission resources, including:
respectively calculating the carrier-to-interference ratio of each user of the resource block in the first time slot, wherein the carrier-to-interference ratio is the ratio of the transmission capacity value of a channel between the resource block and the user in the first time slot to the historical average transmission capacity value of the user;
respectively calculating the resource allocation weight of each user of the resource block in a first time slot, wherein the larger the transmission capacity value of a channel between the resource block and the user in the first time slot is, the larger the resource allocation weight is, the average value of the transmission capacity values of the channels between the resource block and all the users of the resource block in the first time slot is a first average value, and the transmission capacity value of the channel between the resource block and the first user of the resource block in the first time slot is a first transmission capacity value:
when the first transmission capacity value is larger than the first average value, the resource allocation weight of the first user in the first time slot is larger than 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight of the first user in the first time slot is smaller than 1;
when the first transmission capacity value is equal to the first average value, the resource allocation weight of the first user in the first time slot is equal to 1;
respectively multiplying the carrier-to-interference ratio of each user of the resource block in the first time slot by the resource allocation weight of the user to obtain a resource allocation parameter value of each user of the resource block in the first time slot;
and allocating the wireless video transmission resource of the first time slot of the resource block to the user with the maximum resource allocation parameter value.
In a possible implementation manner of the first aspect, separately calculating a resource allocation weight of each user of a resource block in a first time slot includes:
determining the distribution state of the transmission capability of the users according to the transmission capability value of each user of the resource block in the first time slot;
and according to the distribution state of the transmission capability of the users, distributing corresponding resource distribution weight for each user of the resource block in the range of [0, 2 ].
In a possible implementation manner of the first aspect, separately calculating a resource allocation weight of each user of a resource block in a first time slot includes:
respectively calculating a weight additional item of each user of the resource block in a first time slot, wherein the weight additional item is a molecular formula which takes a first coefficient as a numerator and a second coefficient as a denominator, the first coefficient of the first user is a difference value between a first transmission capacity value and a first average value, and the second coefficient of the first user is a difference value between the first average value and a maximum value or a minimum value of transmission capacity values of channels between the resource block and all users of the resource block in the first time slot;
calculating resource allocation weights according to the weight addition terms, wherein:
when the first transmission capacity value is larger than the first average value, the resource allocation weight is the weight additional term plus 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight is 1 minus the weight addition item.
In a possible implementation manner of the first aspect, the second coefficient of the first user is a difference between the first average value and a maximum value or a minimum value of transmission capability values of channels between the resource block and all users of the resource block in the first time slot, where:
when the first transmission capacity value is larger than the first average value, the second coefficient of the first user is the difference value between the first average value and the maximum value of the transmission capacity values of the channels between the resource block and all the users of the resource block in the first time slot;
when the first transmission capacity value is smaller than the first average value, the second coefficient of the first user is a difference value between the first average value and the minimum value of the transmission capacity values of the channels between the resource block and all the users of the resource block in the first time slot.
In a possible implementation of the first aspect described above, the first component is based on the formula:
calculating a resource allocation parameter value, wherein:
mi,j,kallocating a parameter value for the resource of the jth user of the ith resource block at the kth time slot;
TBSi,j,kthe transmission capacity of a channel between the ith resource block and the jth user at the kth time slot;
TBSi,,kminthe minimum value of the transmission capacity of the channel between the kth time slot and all the users is the resource block i;
TBSi,,kmaxis the maximum value of the transmission capacity of the channel between the k-th slot and all users for resource block i.
In a second aspect, an embodiment of the present application provides an apparatus for allocating wireless video transmission resources, including:
the carrier-to-interference ratio calculation module is used for calculating the carrier-to-interference ratio of each user of the resource block in the first time slot respectively, wherein the carrier-to-interference ratio is the ratio of the transmission capacity value of a channel between the resource block and the user in the first time slot to the historical average transmission capacity value of the user;
a resource allocation weight calculation module, configured to calculate a resource allocation weight of each user of the resource block in the first time slot, where the larger the transmission capability value of a channel between the resource block and the user in the first time slot is, the larger the resource allocation weight is, an average value of the transmission capability values of the channels between the resource block and all users of the resource block in the first time slot is a first average value, and the transmission capability value of the channel between the resource block and the first user of the resource block in the first time slot is a first transmission capability value:
when the first transmission capacity value is larger than the first average value, the resource allocation weight of the first user in the first time slot is larger than 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight of the first user in the first time slot is smaller than 1;
when the first transmission capacity value is equal to the first average value, the resource allocation weight of the first user in the first time slot is equal to 1;
the resource allocation parameter calculation module is used for respectively multiplying the carrier-to-interference ratio of each user of the resource block in the first time slot by the resource allocation weight of the user to obtain the resource allocation parameter value of each user of the resource block in the first time slot;
and the resource allocation module is used for allocating the wireless video transmission resource of the first time slot of the resource block to the user with the maximum resource allocation parameter value.
In a possible implementation manner of the second aspect, the resource allocation weight calculation module includes:
the user transmission capacity distribution acquisition submodule is used for determining the distribution state of the transmission capacity of the user according to the transmission capacity value of each user of the resource block in the first time slot;
and the weight distribution submodule is used for distributing corresponding resource distribution weight for each user of the resource block in the range of [0, 2] according to the distribution state of the transmission capacity of the user.
In a possible implementation manner of the second aspect, the resource allocation weight calculation module includes:
the weight additional term calculation submodule is used for calculating a weight additional term of each user of the resource block in a first time slot respectively, wherein the weight additional term is a molecular formula which takes a first coefficient as a numerator and a second coefficient as a denominator, the first coefficient of the first user is a difference value between a first transmission capacity value and a first average value, and the second coefficient of the first user is a difference value between the first average value and the maximum value or the minimum value of the transmission capacity values of channels between the resource block and all the users of the resource block in the first time slot;
a weight calculation sub-module for calculating resource allocation weights according to the weight addition term, wherein:
when the first transmission capacity value is larger than the first average value, the resource allocation weight is the weight additional term plus 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight is 1 minus the weight addition item.
In a third aspect, an embodiment of the present application provides an electronic device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the electronic device to perform the method steps as described in the first aspect above.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, which, when run on a computer, causes the computer to perform the method according to the first aspect.
According to the technical scheme provided by the embodiment of the application, at least the following technical effects can be realized:
according to the method of the embodiment of the application, the resource allocation weight of the user is determined according to the comparison of the transmission capacity of a single user channel and the average transmission capacity of a plurality of user channels, and the resource allocation weight is introduced on the basis of referring to the ratio of the transmission capacity of the current time slot of the user channel to the historical average transmission capacity when the wireless video transmission resource is allocated, so that the resource allocation combining the self-change of the user channel and the mutual change of the channels among the users is realized; compared with the prior art, the method can achieve a better balance effect between the averaging performance and the efficiency performance, so that the average experience and the throughput of the user are better considered, and the resource waste is reduced.
Drawings
Fig. 1 is a flowchart illustrating an embodiment of a method for allocating wireless video transmission resources according to the present application;
FIG. 2 is a partial flow chart of an embodiment of a method for allocating wireless video transmission resources according to the present application;
fig. 3 is a block diagram illustrating an embodiment of a wireless video transmission resource allocation apparatus according to the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terminology used in the description of the embodiments section of the present application is for the purpose of describing particular embodiments of the present application only and is not intended to be limiting of the present application.
The method for allocating the wireless video transmission resources aims at solving the problem that the user experience is not ideal due to the fact that the average performance and the efficiency cannot be balanced when the wireless video transmission resources are allocated in the prior art. In order to propose the method of the embodiment of the present application, the inventor first analyzes the practical application scenario of the wireless video transmission resource allocation.
In a practical application scenario of wireless video transmission resource allocation, a feasible scheme is to employ a Round-Robin (RR) scheme. The RR scheme is mainly used for allocating resources to the channel in a polling mode, and the resource allocation evenness is guaranteed. However, the RR scheme does not consider the transmission capability difference between different user channels, and therefore cannot consider the efficiency of wireless video transmission, and cannot achieve optimal transmission throughput.
Further, in a practical application scenario of wireless video transmission resource allocation, another feasible scheme is to use a maximum carrier-to-interference ratio (MAX C/I) scheme. The MAX C/I scheme is to guarantee the maximum throughput of the base station by allocating resources to the channel with the best channel quality. For example, in an application scenario, as shown in table 1.
| Resource block | User 1 | User 2 | User 3 |
| RB1 | M1N1 | M2N1 | M3N1 |
| RB2 | M1N2 | M2N2 | M3N2 |
| RB3 | M1N3 | M2N3 | M3N3 |
| RB4 | M1N4 | M2N4 | M3N4 |
| RB5 | M1N5 | M2N5 | M3N5 |
TABLE 1
In the matrix shown in table 1: RB1, RB2, RB3, RB4, RB5, etc. represent five resource blocks; user 1, user 2, and user 3 represent 3 users that need to be allocated resources. TBSi,j,kThe transmission capability of the channel between the ith resource block and the jth user in the kth time slot is proportional to the channel quality. With TBSi,j,kIs the value of (M) in each element of the matrix shown in Table 11N1～M3N5) The matrix shown in table 2 is obtained, and resource allocation is performed according to the matrix shown in table 2, so that the resource is allocated to the user with the best transmission capability.
| Resource block | User 1 | User 2 | User 3 |
| RB1 | 4 | 5 | 1 |
| RB2 | 3 | 2 | 6 |
| RB3 | 2 | 1 | 0.5 |
| RB4 | 6 | 2 | 3 |
| RB5 | 8 | 1 | 1 |
TABLE 2
Taking the application scenario shown in table 2 as an example, in the current timeslot: for RB1, allocate resources to user 2; for RB2, allocate resources to user 3; for RB3, allocate resources to user 1; for RB4, allocate resources to user 1; for RB5, resources are allocated to user 1.
Compared with the RR scheme, the MAX C/I scheme may achieve the maximum transmission throughput, but only considers the transmission capability of the user channel and does not consider the average resource allocation, so that the user channel with low transmission capability may not be allocated with resources all the time, and finally, the difference between different user experiences is large.
Further, in order to take average and efficiency into account, in a practical application scenario of wireless video transmission resource allocation, a feasible scheme is to allocate resources by calculating a ratio of current transmission capability and historical transmission capability of a user by using a Proportional Fair Scheduling (PFS) algorithm. Taking the example shown in table 1 as an example,
for historical average transmission capability of user j, in TBSi,j,kAnd
is the ratio of each element (M) in the matrix shown in Table 11N1～M3N5) According to the obtained matrix, resource allocation is carried out, and for each resource block, the resource is allocated to the TBSi,j,kAnd
the user with the largest ratio.
Although the PFS algorithm considers both the average experience and throughput of the user, it will cause a certain waste of resources when the difference between user channels is large. One of the reasons that the PFS algorithm causes resource waste when the difference between the user channels is large is that the PFS algorithm only considers the change state of the user channel itself, i.e. the PFS algorithm only refers to the TBS in the calculation processijk(current transmission capability of user channel) and
(user channel historical average transmission capability); it does not consider the user against other users. Therefore, in order to achieve a better balance effect between the averaging performance and the efficiency performance, take into account the average experience and the throughput of the user as much as possible, and reduce the resource waste, in an embodiment of the present application, when the wireless video transmission resource is allocated, a variation parameter of a channel between the user and the user is introduced.
Specifically, in an embodiment of the present application, the channel variation between users is reflected by comparing the transmission capacity of the user channel with the average transmission capacity of different users. That is, for a certain resource block, in a time slot of a certain resource allocation, the transmission capability of the user channel of a certain user of the resource block is compared with the average transmission capability of the user channels of all users of the resource block, and the comparison result is used as a reference for resource allocation in the time slot. The higher the priority of the user being allocated resources when the transmission capacity of the user channel is larger compared to the average transmission capacity of the user channels of all users.
Specifically, in an embodiment of the present application, a method of adding weight is adopted, in a current timeslot, a comparison result between transmission capability of a user channel of a certain user using a resource block and average transmission capability of user channels of all users in the resource block determines a resource allocation weight of the resource block corresponding to the user, and the TBS is adjusted by the resource allocation weighti,j,k(current transmission capability of user channel) and
the ratio of the historical average transmission capacity of the user channel is used for allocating the wireless video transmission resources by taking the adjusted parameter value as the reference quantity of resource allocation, so that the wireless video transmission resources are allocated while referring to the self-change state of the transmission capacity of the user channel and the interconversion state of the transmission capacities of different user channels, a better balance effect between the average performance and the efficiency is realized, the average experience and the throughput of the user are considered as much as possible, and the resource waste is reduced.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating an embodiment of a method for allocating wireless video transmission resources according to the present application. In an embodiment of the present application, as shown in fig. 1, in a first timeslot, a method flow for allocating wireless video transmission resources to a resource block includes:
when the first transmission capacity value is larger than the first average value, the resource allocation weight of the first user in the first time slot is larger than 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight of the first user in the first time slot is smaller than 1;
when the first transmission capacity value is equal to the first average value, the resource allocation weight of the first user in the first time slot is equal to 1;
Taking the example shown in table 1 as an example,
for the average value of the transmission capability of the channel between the k time slot and all users of the resource block i, compare
And TBSi,j,kCalculating the resource allocation weight M of the jth user of the ith resource block in the kth time slot according to the comparison resulti,j,kThe TBSi,j,kAnd
is multiplied by Mi,j,kObtaining the resource allocation parameter value m of the jth user of the ith resource block in the kth time sloti,j,k. In mi,j,kFor each element (M) in the matrix shown in Table 11N1～M3N5) According to the obtained matrix, resource allocation is carried out, and for each resource block, resources are allocatedSource assignment to mi,j,kThe largest user.
According to the method shown in fig. 1, the resource allocation weight of the user is determined according to the comparison between the transmission capacity of a single user channel and the average transmission capacity of a plurality of user channels, and the resource allocation weight is introduced on the basis of the ratio of the transmission capacity of the current time slot of the reference user channel to the historical average transmission capacity when the wireless video transmission resource allocation is performed, so that the resource allocation combining the self-variation of the user channels and the mutual variation of the channels among the users is realized; compared with the prior art, the method according to the embodiment shown in fig. 1 can achieve a better balance effect between the averaging and the efficiency, thereby giving better consideration to the average experience and the throughput of the user and reducing the waste of resources.
Further, in a specific application scenario of the embodiment of the present application, various steps shown in fig. 1 may have a plurality of different implementations. The skilled person can implement the steps shown in fig. 1 by using a suitable implementation manner according to actual needs.
Specifically, in an implementation manner of step 120, a manner of allocating a corresponding weight value according to a distribution state of transmission capability of a user is adopted to implement value calculation of a resource allocation weight. Specifically, in an embodiment of the present application, the step 120 includes the following steps:
determining the distribution state of the transmission capability of the users according to the transmission capability value of each user of the resource block in the first time slot;
and according to the distribution state of the transmission capability of the users, distributing corresponding resource distribution weight for each user of the resource block in the range of [0, 2 ].
For example, in a certain time slot, the transmission capability values of users A, B, C, D, E are 1, 2, 3, 4, and 5 respectively for a certain resource block, and the average value of the transmission capabilities is 3, then in the time slot, the resource allocation weights of users A, B, C, D, E are 0, 0.5, 1, 1.5, and 2 respectively for the resource block.
Further, in another implementation manner of step 120, the resource allocation weight is calculated by a difference value between the user channel transmission capability value and the user channel average transmission capability value.
Fig. 2 is a partial flowchart of an embodiment of a method for allocating wireless video transmission resources according to the present application. In an embodiment of the present application, as shown in fig. 2, in a flow of a method for allocating a wireless video transmission resource to a resource block in a first timeslot, the following steps are performed to implement step 120:
when the first transmission capacity value is greater than the first average value, go to step 222;
when the first transmission capacity value is smaller than the first average value, execute step 223;
Specifically, in one implementation of step 210:
when the first transmission capacity value is larger than the first average value, the second coefficient of the first user is the difference value between the first average value and the maximum value of the transmission capacity values of the channels between the resource block and all the users of the resource block in the first time slot;
when the first transmission capacity value is smaller than the first average value, the second coefficient of the first user is a difference value between the first average value and the minimum value of the transmission capacity values of the channels between the resource block and all the users of the resource block in the first time slot.
Each flow of the embodiment shown in fig. 1 is summarized as a formula parameter item, and specifically, in an embodiment of the present application, based on a formula:
calculating a resource allocation parameter value, in equation (1):
mi,j,kallocating weight for the resource of the jth user of the ith resource block at the kth time slot; ,
TBSi,j,kthe transmission capacity of a channel between the ith resource block and the jth user at the kth time slot;
It is to be understood that some or all of the steps or operations in the above-described embodiments are merely examples, and other operations or variations of various operations may be performed by the embodiments of the present application. Further, the various steps may be performed in a different order presented in the above-described embodiments, and it is possible that not all of the operations in the above-described embodiments are performed.
Further, based on the method for allocating wireless video transmission resources provided in an embodiment of the present application, an embodiment of the present application further provides a device for allocating wireless video transmission resources. Fig. 3 is a block diagram illustrating an embodiment of a wireless video transmission resource allocation apparatus according to the present application. In an embodiment of the present application, as shown in fig. 3, in an embodiment of the present application, the apparatus 300 for allocating wireless video transmission resources includes:
a carrier-to-interference ratio calculation module 310, configured to calculate a carrier-to-interference ratio of each user of the resource block in the first time slot, where the carrier-to-interference ratio is a ratio between a transmission capability value of a channel between the resource block and the user in the first time slot and a historical average transmission capability value of the user;
a resource allocation weight calculating module 320, configured to calculate a resource allocation weight of each user of the resource block in the first time slot, where the larger the transmission capability value of the channel between the resource block and the user in the first time slot is, the larger the resource allocation weight is, the average value of the transmission capability values of the channels between the resource block and all users of the resource block in the first time slot is a first average value, and the transmission capability value of the channel between the resource block and the first user of the resource block in the first time slot is a first transmission capability value:
when the first transmission capacity value is larger than the first average value, the resource allocation weight of the first user in the first time slot is larger than 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight of the first user in the first time slot is smaller than 1;
when the first transmission capacity value is equal to the first average value, the resource allocation weight of the first user in the first time slot is equal to 1;
a resource allocation parameter calculation module 330, configured to multiply the carrier-to-interference ratio of each user in the resource block in the first time slot by the resource allocation weight of the user, respectively, to obtain a resource allocation parameter value of each user in the resource block in the first time slot;
a resource allocation module 340, configured to allocate the wireless video transmission resource of the first slot of the resource block to the user with the largest resource allocation parameter value.
The apparatus provided in the embodiment of the present application shown in fig. 3 may be used to implement the technical solution of the method embodiment of the present application, and the implementation principle and technical effect of the apparatus may further refer to the related description in the method embodiment.
Further, in a possible implementation structure of the resource allocation weight calculation module 320, the resource allocation weight calculation module 320 includes:
the user transmission capacity distribution acquisition submodule is used for determining the distribution state of the transmission capacity of the user according to the transmission capacity value of each user of the resource block in the first time slot;
and the weight distribution submodule is used for distributing corresponding resource distribution weight for each user of the resource block in the range of [0, 2] according to the distribution state of the transmission capacity of the user.
Further, in a possible implementation structure of the resource allocation weight calculation module 320, the resource allocation weight calculation module 320 includes:
the weight additional term calculation submodule is used for calculating a weight additional term of each user of the resource block in a first time slot respectively, wherein the weight additional term is a molecular formula which takes a first coefficient as a numerator and a second coefficient as a denominator, the first coefficient of the first user is a difference value between a first transmission capacity value and a first average value, and the second coefficient of the first user is a difference value between the first average value and the maximum value or the minimum value of the transmission capacity values of channels between the resource block and all the users of the resource block in the first time slot;
a weight calculation sub-module for calculating resource allocation weights according to the weight addition term, wherein:
when the first transmission capacity value is larger than the first average value, the resource allocation weight is the weight additional term plus 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight is 1 minus the weight addition item.
Further, in the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by an accessing party. A digital device is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate a dedicated integrated circuit chip. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
In the description of the embodiments of the present application, for convenience of description, the device is described as being divided into various modules/units by functions, the division of each module/unit is only a division of logic functions, and the functions of each module/unit can be implemented in one or more pieces of software and/or hardware when the embodiments of the present application are implemented.
Specifically, the apparatuses proposed in the embodiments of the present application may be wholly or partially integrated into one physical entity or may be physically separated when actually implemented. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling by the processing element in software, and part of the modules can be realized in the form of hardware. For example, the detection module may be a separate processing element, or may be integrated into a chip of the electronic device. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, these modules may be integrated together and implemented in the form of a System-On-a-Chip (SOC).
An embodiment of the present application also proposes an electronic device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the electronic device to perform the method steps as described in the embodiments of the present application.
The electronic devices, apparatuses, modules or units illustrated in the embodiments of the present application may be specifically implemented by a computer chip or an entity, or implemented by a product with certain functions. A typical implementation device is a computer, which may be, for example, a desktop computer, a laptop computer, a tablet computer, a cell phone, a personal digital assistant, a media player, a navigation device, a game console, a wearable device, or a combination of any of these devices. Specifically, in an embodiment of the present application, the electronic device may be a terminal device, for example, a mobile terminal (a mobile phone, a tablet computer, a notebook computer), a local terminal (a personal/industrial computer), a cloud server, and the like; or may be a circuit device built in the terminal device.
Further, in an embodiment of the present application, a processor of the electronic device may be an on-chip device SOC, and the processor may include one or more processing units, such as: the Processor may include a Central Processing Unit (CPU), a DSP, a microcontroller, an Application Processor (AP), a Graphics Processing Unit (GPU), an embedded Neural Network Processor (NPU), an Image Signal Processor (ISP), a modem Processor, a video codec, a baseband Processor, a Pulse Width Modulation (PWM) controller, and may further include other types of processors. The different processing units may be separate devices or may be integrated into one or more processors. The controller in the processor can generate operation control signals according to the instruction operation codes and the time sequence signals to complete the control of instruction fetching and instruction execution.
Further, in an embodiment of the present application, the processor may further include a necessary hardware accelerator or a logic processing hardware circuit, such as an ASIC, or one or more integrated circuits for controlling the execution of the program according to the present application. Further, the processor may have the functionality to operate one or more software programs, which may be stored in the storage medium.
Further, in one embodiment of the present application, the memory of the electronic device includes permanent and non-permanent, removable and non-removable computer-readable media that can implement the storage of information by any method or technology. The information stored by the computer-readable medium of the memory may be computer-readable instructions, data structures, modules of a program, or other data.
Examples of computer readable media for constructing the memory include, but are not limited to: Read-Only Memory (ROM), other types of static storage devices that may store static information and instructions, Random Access Memory (RAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), phase-change Memory (PRAM), Static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), flash Memory or other Memory technology Memory, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium or media capable of storing program code and capable of being accessed by a computing device.
Further, in an embodiment of the present application, the processor and the memory may be combined into a processing device, and more generally, independent components, and the processor is configured to execute the program code stored in the memory to implement the method of the embodiment of the present application. In particular implementations, the memory may be integrated within the processor or may be separate from the processor. A memory may also be provided in the processor for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor. If the processor needs to reuse the instruction or data, it can be called directly from memory.
Further, in some embodiments, processor 110 may include one or more interfaces. The Interface may include an Integrated Circuit (I2C) Interface, an Inter-Integrated Circuit built-in audio (I2S) Interface, a Pulse Code Modulation (PCM) Interface, a universal asynchronous receiver/transmitter (UART) Interface, a Mobile Industry Processor Interface (MIPI), a General-Purpose Input/Output (GPIO) Interface, a Subscriber Identity Module (SIM) Interface, and/or a USB Interface, etc.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium.
In the several embodiments provided in the present application, any function, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application.
Specifically, an embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program runs on a computer, the computer is caused to execute the method provided by the embodiment of the present application.
An embodiment of the present application further provides a computer program product, which includes a computer program, when it runs on a computer, causes the computer to execute the method provided by the embodiment of the present application.
The embodiments herein are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments herein. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments of the present application, "at least one" means one or more, "and" a plurality "means two or more. "and/or" describes the association relationship of the associated objects, and means that there may be three relationships, for example, a and/or B, and may mean that a exists alone, a and B exist simultaneously, and B exists alone. Wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" and similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one of a, b, and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
In the embodiments of the present application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
Those of ordinary skill in the art will appreciate that the various elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of electronic hardware and computer software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
While the embodiments of the present invention have been described with reference to the accompanying drawings, it will be understood by those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined by the appended claims. The protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for allocating wireless video transmission resources, comprising:
respectively calculating the carrier-to-interference ratio of each user of a resource block in a first time slot, wherein the carrier-to-interference ratio is the ratio of the transmission capacity value of a channel between the resource block and the user in the first time slot to the historical average transmission capacity value of the user;
respectively calculating the resource allocation weight of each user of the resource block in the first time slot, wherein the larger the transmission capability value of a channel between the resource block and the user in the first time slot is, the larger the resource allocation weight is, the average value of the transmission capability values of the channels between the resource block and all users of the resource block in the first time slot is taken as a first average value, and the transmission capability value of the channel between the resource block and the first user of the resource block in the first time slot is taken as a first transmission capability value:
when the first transmission capacity value is larger than the first average value, the resource allocation weight of the first user in the first time slot is larger than 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight of the first user in the first time slot is smaller than 1;
when the first transmission capacity value is equal to the first average value, the resource allocation weight of the first user in the first time slot is equal to 1;
respectively multiplying the carrier-to-interference ratio of each user of the resource block in the first time slot by the resource allocation weight of the user to obtain a resource allocation parameter value of each user of the resource block in the first time slot;
and allocating the wireless video transmission resource of the first time slot of the resource block to the user with the maximum resource allocation parameter value.
2. The method of claim 1, wherein calculating the resource allocation weight of each user of the resource block in the first time slot separately comprises:
determining a distribution state of transmission capacity of users according to the transmission capacity value of each user of the resource block in the first time slot;
and according to the distribution state of the transmission capacity of the users, distributing corresponding resource distribution weight to each user of the resource block in the range of [0, 2 ].
3. The method of claim 1, wherein calculating the resource allocation weight of each user of the resource block in the first time slot separately comprises:
respectively calculating a weight additional item of each user of the resource block in the first time slot, wherein the weight additional item is a molecular formula which takes a first coefficient as a numerator and a second coefficient as a denominator, the first coefficient of the first user is a difference value between a first transmission capacity value and the first average value, and the second coefficient of the first user is a difference value between the first average value and a maximum value or a minimum value of transmission capacity values of channels between the resource block and all users of the resource block in the first time slot;
calculating the resource allocation weight according to the weight addition term, wherein:
when the first transmission capacity value is larger than the first average value, the resource allocation weight is the weight additional item plus 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight is 1 minus the weight addition item.
4. The method of claim 3, wherein the second coefficient for the first user is a difference between the first average and a maximum or minimum of transmission capability values of channels in the first slot between the resource block and all users of the resource block, and wherein:
when the first transmission capacity value is larger than the first average value, the second coefficient of the first user is a difference value between the first average value and a maximum value of transmission capacity values of channels between the resource block and all users of the resource block in the first time slot;
when the first transmission capacity value is smaller than the first average value, the second coefficient of the first user is a difference value between the first average value and a minimum value of transmission capacity values of channels between the resource block and all users of the resource block in the first time slot.
5. The method of claim 4, wherein the method is based on the formula:
calculating the resource allocation parameter value, wherein:
mi,j,kallocating a parameter value for the resource of the jth user of the ith resource block at the kth time slot; ,
TBSi，j，kthe transmission capacity of a channel between the ith resource block and the jth user at the kth time slot;
6. A wireless video transmission resource allocation apparatus, comprising:
the carrier-to-interference ratio calculation module is used for respectively calculating the carrier-to-interference ratio of each user of a resource block in a first time slot, wherein the carrier-to-interference ratio is the ratio of the transmission capacity value of a channel between the resource block and the user in the first time slot to the historical average transmission capacity value of the user;
a resource allocation weight calculation module, configured to calculate a resource allocation weight of each user of the resource block in the first time slot, where the larger the transmission capability value of the channel between the resource block and the user in the first time slot is, the larger the resource allocation weight is, the average value of the transmission capability values of the channels between the resource block and all users of the resource block in the first time slot is taken as a first average value, and the transmission capability value of the channel between the resource block and the first user of the resource block in the first time slot is taken as a first transmission capability value:
when the first transmission capacity value is larger than the first average value, the resource allocation weight of the first user in the first time slot is larger than 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight of the first user in the first time slot is smaller than 1;
when the first transmission capacity value is equal to the first average value, the resource allocation weight of the first user in the first time slot is equal to 1;
a resource allocation parameter calculation module, configured to multiply the carrier-to-interference ratio of each user of the resource block in the first time slot by the resource allocation weight of the user, respectively, to obtain a resource allocation parameter value of each user of the resource block in the first time slot;
and the resource allocation module is used for allocating the wireless video transmission resource of the first time slot of the resource block to the user with the maximum resource allocation parameter value.
7. The apparatus of claim 6, wherein the resource allocation weight calculation module comprises:
a user transmission capacity distribution acquisition submodule, configured to determine a user transmission capacity distribution state according to a transmission capacity value of each user of the resource block in the first time slot;
and the weight distribution submodule is used for distributing corresponding resource distribution weight for each user of the resource block in the range of [0, 2] according to the distribution state of the transmission capacity of the user.
8. The apparatus of claim 6, wherein the resource allocation weight calculation module comprises:
a weight additional term calculating sub-module, configured to calculate a weight additional term for each user of the resource block in the first time slot, respectively, where the weight additional term is a molecular formula with a first coefficient as a numerator and a second coefficient as a denominator, the first coefficient of the first user is a difference between a first transmission capability value and the first average value, and the second coefficient of the first user is a difference between the first average value and a maximum value or a minimum value of transmission capability values of channels between the resource block and all users of the resource block in the first time slot;
a weight calculation sub-module for calculating the resource allocation weights according to the weight addenda, wherein:
when the first transmission capacity value is larger than the first average value, the resource allocation weight is the weight additional item plus 1;
when the first transmission capacity value is smaller than the first average value, the resource allocation weight is 1 minus the weight addition item.
9. An electronic device, characterized in that the electronic device comprises a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the electronic device to perform the method steps of any of claims 1-5.
10. A computer-readable storage medium, in which a computer program is stored which, when run on a computer, causes the computer to carry out the method according to any one of claims 1 to 5.
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