CN106714203B - Rate prediction method, device and system - Google Patents
Rate prediction method, device and system Download PDFInfo
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Abstract
The invention discloses a rate prediction method, a rate prediction device and a rate prediction system, which can effectively pre-evaluate the effect of a user after the rate is increased, thereby greatly improving the satisfaction degree of user service experience. The method comprises the following steps: network side equipment receives a rate prediction request message sent by a terminal; determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal according to the rate prediction request message; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, and the second parameter values comprise: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI; determining the current speed and the possible speed range to be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal; and sending the current speed and the possible speed range to be promoted of the terminal to the terminal.
Description
Technical Field
The present invention relates to the field of core network technologies, and in particular, to a method, an apparatus, and a system for rate prediction.
Background
With The continuous development of 4G (The 4th Generation Mobile Communication Technology, fourth Generation Mobile Communication Technology), operators gradually open network capabilities, provide QoS (Quality of service) differentiated services for users, and enable users to acquire different levels of rates as required. In this process, operators want to be able to describe the different rate situations of users quantitatively, so as to provide data support when promoting QoS differentiated services.
The operator provides QoS differentiated service for the user, and the user can increase the speed according to the requirement. With the provision of the QoS differentiated service, another important requirement is created, namely how to effectively pre-evaluate the effect of the user after the rate is increased, so that the user can predict the effect in advance, and the user can further decide whether to open the rate-increasing service, thereby improving the satisfaction degree of the user service experience. However, the current research and the prior art do not have a related scheme in this aspect, and cannot describe different rate conditions of users quantitatively, and related data support is lacking when the QoS differentiated service is promoted.
Disclosure of Invention
The embodiment of the invention provides a rate prediction method, a rate prediction device and a rate prediction system, which can effectively pre-evaluate the effect of a user after the rate is increased, thereby greatly improving the satisfaction degree of user service experience.
The embodiment of the invention adopts the following technical scheme:
a method of rate prediction, comprising:
network side equipment receives a rate prediction request message sent by a terminal;
determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal according to the rate prediction request message; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI;
determining the current speed and the possible speed range to be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal;
and sending the current speed and the possible speed range to be promoted of the terminal to the terminal.
Determining a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses according to the rate prediction request message, specifically comprising:
sending a first request message for requesting a first parameter value of the terminal to the terminal;
receiving a first parameter value fed back by the terminal; and
transmitting a second request message for requesting a second parameter value of the base station to the base station;
and receiving a second parameter value fed back by the base station.
Wherein, the speed prediction request message carries the position information of the terminal; then
Determining a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses according to the rate prediction request message, specifically including:
determining a Mobile Management Entity (MME) corresponding to the terminal according to the position information of the terminal carried in the rate prediction request message;
and determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal through the MME corresponding to the terminal.
Determining a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses through an MME corresponding to the terminal specifically includes:
sending a third request message for requesting a third parameter value of the terminal and a second parameter value of the base station to the MME, so that the MME acquires the third parameter value of the terminal and the second parameter value of the base station from the base station according to the third request message; wherein the third parameter value of the terminal comprises: the channel quality indicator CQI and QCI of the terminal;
receiving a third parameter value of the terminal and a second parameter value of the base station fed back by the MME;
and determining the SINR of the terminal corresponding to the CQI according to the CQI in the third parameter value of the terminal.
Determining the current rate and the rate range which can be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal, specifically comprising:
according to the formula
Determining the current rate of the terminal; wherein x is the value of QCI of the terminal, SxIs the current rate of the terminal, niThe current user number of the base station corresponding to the QCI with the value of i, aiA scheduling weight ratio set for the base station for a QCI of value i; m is the maximum throughput of the base station and is determined by the SINR of the terminal;
and determining the rate range to which the terminal can be promoted according to the current rate of the terminal and the network type of the terminal.
A rate prediction apparatus, comprising:
a receiving unit, configured to receive a rate prediction request message sent by a terminal;
a parameter determining unit, configured to determine a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses, according to the rate prediction request message received by the receiving unit; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI;
a rate determining unit, configured to determine a current rate and a rate range that may be increased of the terminal according to the first parameter value of the terminal and the second parameter value of the base station determined by the parameter determining unit, and the network type of the terminal;
and the sending unit is used for sending the current speed and the possible speed range to be promoted of the terminal determined by the speed determining unit to the terminal.
Wherein, the parameter determination unit specifically includes:
a first sending module, configured to send a first request message for requesting a first parameter value of the terminal to the terminal;
a first receiving module, configured to receive a first parameter value fed back by the terminal;
a second sending module, configured to send a second request message for requesting a second parameter value of the base station to the base station;
and the second receiving module is used for receiving a second parameter value fed back by the base station.
Wherein, the speed prediction request message carries the position information of the terminal; then
The parameter determining unit specifically includes:
an MME determining module, configured to determine, according to the location information of the terminal carried in the rate prediction request message, a mobility management entity MME corresponding to the terminal;
a parameter determining module, configured to determine, through the MME corresponding to the terminal determined by the MME determining module, a first parameter value of the terminal and a second parameter value of a base station to which the terminal is accessed.
Wherein the parameter determination module is specifically configured to:
sending a third request message for requesting a third parameter value of the terminal and a second parameter value of the base station to the MME, so that the MME acquires the third parameter value of the terminal and the second parameter value of the base station from the base station according to the third request message; wherein the third parameter value of the terminal comprises: the channel quality indicator CQI and QCI of the terminal; receiving a third parameter value of the terminal and a second parameter value of the base station fed back by the MME; and determining the SINR of the terminal corresponding to the CQI according to the CQI in the third parameter value of the terminal.
Wherein the rate determining unit is specifically configured to:
according to the formula
Determining the current rate of the terminal; wherein x is the value of QCI of the terminal, SxIs the current rate of the terminal, niThe current user number of the base station corresponding to the QCI with the value of i, aiA scheduling weight ratio set for the base station for a QCI of value i; m is the maximum throughput of the base station and is determined by the SINR of the terminal;
and determining the rate range to which the terminal can be promoted according to the current rate of the terminal and the network type of the terminal.
A rate prediction system comprising a capability openness platform and a terminal, wherein:
the terminal is used for sending a rate prediction request message to the capability opening platform and receiving the current rate and the rate range which can be increased of the terminal fed back by the capability opening platform;
the capability open platform is used for receiving the rate prediction request message; determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal according to the rate prediction request message; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI; determining the current speed and the possible speed range to be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal; and sending the current speed and the possible speed range to be promoted of the terminal to the terminal.
The embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, when a rate prediction request message sent by a terminal is received, a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal are determined according to the rate prediction request message, wherein the first parameter value comprises: SINR and QCI of the terminal, and the second parameter value includes: the base station determines the current speed and the possible speed range to be improved of the terminal according to the scheduling weight ratio set by each QCI and the current user number corresponding to each QCI, and the current speed and the possible speed range to be improved are determined according to the parameter values and the network type of the terminal, and finally the current speed and the possible speed range to be improved are fed back to the terminal.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a rate prediction method according to an embodiment of the present invention;
FIG. 2 is a diagram of a capability openness architecture of a capability openness platform in an application;
fig. 3 is a diagram illustrating LTE-based rate class range partitioning;
fig. 4 is a schematic diagram of rate class range division based on LTE, i.e. division of increased number of users;
fig. 5 is a schematic diagram of rate class range division based on LTE-division of the case of reducing the number of users;
fig. 6 is a diagram of a rate prediction architecture of a cellular network according to an embodiment of the present invention;
fig. 7 is a flowchart illustrating an implementation of a rate prediction method according to an embodiment of the present invention;
figure 8 is a diagram of another rate prediction architecture for a cellular network provided in an embodiment of the present invention;
fig. 9 is a flowchart illustrating another embodiment of a rate prediction method according to the present invention;
fig. 10 is a schematic structural diagram of a rate prediction apparatus according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of a parameter determining unit in the rate prediction apparatus according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram of a parameter determining unit in the rate prediction apparatus according to an embodiment of the present invention;
fig. 13 is a schematic structural diagram of a rate prediction system according to an embodiment of the present invention.
Detailed Description
In order to effectively pre-evaluate the effect of the user after the rate is increased, and thus greatly improve the satisfaction degree of user service experience, the embodiment of the invention provides a rate prediction scheme. In the technical scheme, when a rate prediction request message sent by a terminal is received, a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal are determined according to the rate prediction request message, wherein the first parameter value comprises: SINR and QCI of the terminal, and the second parameter value includes: the base station determines the current speed and the possible speed range to be improved of the terminal according to the scheduling weight ratio set by each QCI and the current user number corresponding to each QCI, and the current speed and the possible speed range to be improved are determined according to the parameter values and the network type of the terminal, and finally the current speed and the possible speed range to be improved are fed back to the terminal.
The embodiments of the present invention will be described in conjunction with the drawings of the specification, and it should be understood that they are presented herein only for the purpose of illustrating and explaining the invention, and not for the purpose of limiting the invention. And embodiments of the invention and features of the embodiments may be combined with each other without conflict.
As shown in fig. 1, an implementation flowchart of the rate prediction method provided in the embodiment of the present invention specifically includes the following steps:
The network side device may be, but is not limited to, a capability open platform.
As shown in fig. 2, the capability openness architecture diagram of the capability openness platform in application is shown, wherein the capability openness platform opens the capability of a network core by encapsulating the network bottom layer capability, provides traffic differentiated value service, realizes the inventory of complex network capability, and achieves a win-win environment for a third party, a user, and an operator.
And step 12, determining a first parameter value of the terminal and a second parameter value of the base station accessed by the terminal according to the rate prediction request message sent by the terminal.
Wherein the first parameter value comprises: a Signal to interference plus Noise Ratio (SINR) and a quality of service Class Identifier (QoS Class Identifier, QCI) of the terminal;
the second parameter values include: and the base station sets a scheduling weight ratio for each QCI and the current user number corresponding to each QCI.
In the embodiment of the present invention, the first parameter value of the terminal and the second parameter value of the base station accessed by the terminal may be determined, but not limited to, in the following two manners.
The first mode is as follows:
sending a first request message for requesting a first parameter value of a terminal to the terminal, and receiving the first parameter value fed back by the terminal;
and sending a second request message for requesting a second parameter value of the base station to the base station, and receiving the second parameter value fed back by the base station.
The second mode is as follows:
when the rate prediction request message carries the location information of the terminal, a Mobility Management Entity (MME) corresponding to the terminal may be determined according to the location information of the terminal carried in the rate prediction request message, so that a first parameter value of the terminal and a second parameter value of a base station to which the terminal is accessed are determined through the MME corresponding to the terminal.
Specifically, a third request message for requesting a third parameter value of the terminal and a second parameter value of the base station is sent to an MME corresponding to the terminal, so that the MME acquires the third parameter value of the terminal and the second parameter value of the base station from the base station according to the third request message; wherein the third parameter value of the terminal comprises: a Channel Quality Indicator (CQI) and a QCI of the terminal;
then receiving a third parameter value of the terminal and a second parameter value of the base station, which are fed back by the MME corresponding to the terminal;
and finally, according to the CQI in the third parameter value of the terminal, determining the SINR of the terminal corresponding to the CQI, thereby determining the first parameter value of the terminal.
And step 13, determining the current speed and the possible speed range to be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal.
Specifically, the current rate of the terminal is determined according to the following formula (1);
wherein x is the value of QCI of the terminal, SxIs the current rate of the terminal, niThe current user number of the base station corresponding to the QCI with the value of i, aiA scheduling weight ratio set for the base station for a QCI of value i; m is the maximum throughput of the base station and is determined by the SINR of the terminal;
and then determining the rate range to which the terminal can be promoted according to the network type and the current rate of the terminal.
The implementation of step 13 is described in detail below.
First, according to the radio access technology, the network types of the terminal can be divided into three types, namely, a 2G network, a 3G network and a 4G network, and therefore, the rate can also be divided into three level ranges, namely, a 2G network, a 3G network and a 4G network.
Since the bandwidth of 2G networks and 3G networks is limited, the bandwidth intervals of 2G and 3G can be identified using an average rate based on empirical values. In 4G networks, the rate can be divided into three levels of 64QAM, 16QAM and QPSK according to modulation and coding techniques. As shown in fig. 3, the three level ranges are sequentially distributed according to the direction of decreasing SINR value, and in each level range, it is approximately considered that the influence of SINR value change on user rate is controlled in a certain interval, that is, the user rate in a certain coding mode belongs to a corresponding rate band.
For users at any point in the cell, if different QCI bearers are used, the radio resources obtained are different. Therefore, different grades can be further divided according to different QCI values, and since the 3GPP standard specifies that parameters such as time delay, packet loss rate and the like are the same when the QCI is 6, 8 and 9, but a higher time delay requirement is provided when the QCI is 7, the QCI is divided into three grades of 6, 8 and 9 according to the value of the QCI in the embodiment of the present invention.
According to the principle of a base station relative priority scheduling algorithm, the scheduling weight ratio set by the base station for the QCI influences the reference rate and the bandwidth range of different QCI user rate bands. The QCI6 (i.e. QCI ═ 6), QCI8 and QCI9 shown in fig. 3 are equal in bandwidth, and it is convenient to illustrate that in practical applications, the relative positions and bandwidths of the three rate bands need to be determined according to the scheduling weight ratio set by the practical base station for the QCI.
Since the base station using the relative priority scheduling algorithm allocates radio resources according to the scheduling weight ratio of its QCI, the number of cell users also affects the reference rate in each class range. Taking fig. 3 as an example, a comparison of constant rate a shows that if the number of users in a cell is increased compared with the number of users in the cell in fig. 3, the reference rate is decreased, and as shown in fig. 4, the rate level is shifted downward with respect to the constant rate a as a whole; if the number of cell users is reduced from the number of cell users in fig. 3, the reference rate is increased, and as shown in fig. 5, the rate class is shifted upward with respect to the constant rate a as a whole.
The rate ranking algorithm in the embodiment of the present invention is briefly described with reference to the above equation (1):
let the scheduling weight ratios of the base station for QCIs 6, 8, 9 be a6, a8, a9, respectively.
Suppose that the Signal strength of a certain point in a cell is R (the downlink Signal strength is characterized by SINR value, and the uplink Signal strength is characterized by Reference Signal Receiving Power (RSRP), the maximum throughput is M (including uplink M is denoted as M and downlink M is denoted as M), and under the same Signal strength, the number of users of QCI6, 8, and 9 is n6, n8, and n9, and the data rates are s6, s8, and s9, respectively.
Then, according to the theory that the total data rate of all users with the same signal strength under the congestion state is approximately equal to the maximum throughput of the cell at this point, the following formula 2 is given:
s9×n9+s8×n8+s6×n6as M (formula 2)
Under the condition of congestion, the rate ratio of the QCIs 6, 8 and 9 approximately accords with the base station scheduling ratio, the rate of the QCIs 6, 8 and 9 can be obtained by substituting the formula 2, and the rate can be obtained by the formulas 3, 4 and 5:
in the above equation, the cell throughput M and the signal strength R have a certain functional relationship, which can be expressed as M ═ f (R), and the user rate value can also be obtained by substituting the signal strength, as follows:
according to the above formula, the current rate and the rate range that the terminal may be raised to in the current cell can be derived according to the wireless related parameters of the wireless side cell and the total number of users.
In the embodiment of the invention, when a rate prediction request message sent by a terminal is received, a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal are determined according to the rate prediction request message, wherein the first parameter value comprises: SINR and QCI of the terminal, and the second parameter value includes: the base station determines the current speed and the possible speed range to be improved of the terminal according to the scheduling weight ratio set by each QCI and the current user number corresponding to each QCI, and the current speed and the possible speed range to be improved are determined according to the parameter values and the network type of the terminal, and finally the current speed and the possible speed range to be improved are fed back to the terminal.
In order to better understand the embodiments of the present invention, the following descriptions respectively describe specific implementation processes of the embodiments of the present invention with reference to different parameter obtaining manners.
Firstly, a capability open platform acquires wireless parameters through a terminal and a base station:
fig. 6 is a rate prediction architecture diagram of a cellular network provided in an embodiment of the present invention, and fig. 7 is a flowchart of an implementation of a rate prediction method provided in an embodiment of the present invention, which includes the following specific steps:
and step 71, when the effect demand after the acceleration is predicted appears, clicking the speed prediction function, and triggering the speed prediction function to start executing.
And 73, after receiving the request of the user terminal, the capability open platform (SCEF/AAC) requests the report of the relevant parameters required by the rate prediction to the user terminal and the base station of the cell where the user is located respectively.
And step 74, the user terminal and the base station of the cell where the user is located respond to the request of the capability opening platform and actively report the relevant parameters, and the capability opening platform receives the relevant parameters. The parameters reported by the user terminal side mainly comprise the SINR value of the cell position where the terminal user is located, the QCI value of the user and the like. The method for reporting the relevant parameters on the base station side mainly comprises the following steps: the base station sets the scheduling weight ratio and the number of users in the cell for different QCIs.
And step 75, the capacity openness platform (SCEF/AAC) obtains the rate class to which the user belongs under the current situation by using a corresponding algorithm according to the acquired related parameters, and predicts a rate range which the user may reach after being promoted by the QoS differentiated service.
The capability openness platform (SCEF/AAC) returns the current rate of the user and the range of rates the user may reach to the user terminal, step 76.
And 77, the user checks the rate prediction result, and the rate prediction process is ended.
In the embodiment of the invention, when receiving the rate prediction request message sent by the terminal, the capacity open platform obtains the relevant parameters through the terminal and the base station accessed by the terminal, determines the current rate of the terminal and the rate range which can be promoted according to the relevant parameters and the network type of the terminal, and finally feeds back the rate range to the terminal.
Secondly, the capability open platform acquires wireless related parameters through the MME:
fig. 8 is a diagram of another rate prediction architecture of a cellular network according to an embodiment of the present invention, and fig. 9 is a flowchart of an implementation of another rate prediction method according to an embodiment of the present invention, which includes the following specific steps:
and step 91, when the effect demand after the acceleration is predicted appears, clicking the speed prediction function, and triggering the speed prediction function to start executing.
And step 93, after receiving the user request, the capability open platform (SCEF/AAC) finds the corresponding MME according to the location information of the user terminal.
In step 95, the base station transfers the specified user-side related parameters to the MME through S1 interface signaling. Wherein the user-side related parameters comprise CQI (related to the SINR value of the position where the user is located), QCI value of the user and the like; the method for reporting the relevant parameters on the base station side mainly comprises the following steps: the base station sets the scheduling weight ratio and the number of users in the cell for different QCIs.
And step 96, the MME transmits the user side related parameters reported by the base station and the base station side related parameters to the capability open platform (SCEF/AAC).
And step 97, the capacity open platform (SCEF/AAC) obtains the speed of the user under the current condition by using a corresponding algorithm according to the acquired related parameters, and predicts a speed range which the user may reach after being promoted by the differentiated services.
And step 99, the user checks the speed prediction result, and the speed prediction process is finished.
In the embodiment of the invention, when receiving the rate prediction request message sent by the terminal, the capacity open platform acquires the relevant parameters through the MME, determines the current rate of the terminal and the rate range which can be promoted according to the relevant parameters and the network type of the terminal, and finally feeds back the rate range to the terminal.
Based on the same inventive concept, embodiments of the present invention further provide a device and a system for rate prediction implemented by a network side, respectively, and because the principles of solving the problems of the device and the system are similar to the rate prediction method implemented by the network side, the implementation of the device and the system can refer to the implementation of the method, and repeated details are not repeated.
As shown in fig. 10, a schematic structural diagram of a rate prediction apparatus implemented by a network side according to an embodiment of the present invention includes:
a receiving unit 101, configured to receive a rate prediction request message sent by a terminal;
a parameter determining unit 102, configured to determine, according to the rate prediction request message received by the receiving unit 101, a first parameter value of the terminal and a second parameter value of a base station to which the terminal is accessed; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI;
a rate determining unit 103, configured to determine a current rate and a rate range that may be increased of the terminal according to the first parameter value of the terminal and the second parameter value of the base station determined by the parameter determining unit 102, and the network type of the terminal;
a sending unit 104, configured to send the current rate and the range of rates that may be raised of the terminal, determined by the rate determining unit 103, to the terminal.
Optionally, the parameter determining unit 102 may specifically include the following modules according to fig. 11:
a first sending module 111, configured to send a first request message for requesting a first parameter value of the terminal to the terminal;
a first receiving module 112, configured to receive a first parameter value fed back by the terminal;
a second sending module 113, configured to send a second request message for requesting a second parameter value of the base station to the base station;
a second receiving module 114, configured to receive a second parameter value fed back by the base station.
Optionally, if the rate prediction request message carries the location information of the terminal, the parameter determining unit 102 may also include the following modules according to fig. 12:
an MME determining module 121, configured to determine, according to the location information of the terminal carried in the rate prediction request message, a mobility management entity MME corresponding to the terminal;
a parameter determining module 122, configured to determine, by the MME corresponding to the terminal determined by the MME determining module 121, a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses.
Wherein, the parameter determining module 122 may be specifically configured to:
sending a third request message for requesting a third parameter value of the terminal and a second parameter value of the base station to the MME, so that the MME acquires the third parameter value of the terminal and the second parameter value of the base station from the base station according to the third request message; wherein the third parameter value of the terminal comprises: the channel quality indicator CQI and QCI of the terminal; receiving a third parameter value of the terminal and a second parameter value of the base station fed back by the MME; and determining the SINR of the terminal corresponding to the CQI according to the CQI in the third parameter value of the terminal.
Optionally, the rate determining unit 103 may be specifically configured to:
according to the formula
Determining the current rate of the terminal; wherein x is the value of QCI of the terminal, SxIs the current rate of the terminal, niThe current user number of the base station corresponding to the QCI with the value of i, aiA scheduling weight ratio set for the base station for a QCI of value i; m is the maximum throughput of the base station and is determined by the SINR of the terminal;
and determining the rate range to which the terminal can be promoted according to the current rate of the terminal and the network type of the terminal.
For convenience of description, the above parts are separately described as modules (or units) according to functional division. Of course, the functionality of the various modules (or units) may be implemented in the same or in multiple pieces of software or hardware in practicing the invention.
In specific implementation, the rate detection device may be disposed in a capability openness platform.
As shown in fig. 13, a schematic structural diagram of a rate prediction system implemented on a network side according to an embodiment of the present invention includes a capability opening platform 131 and a terminal 132, where:
the terminal 132 is configured to send a rate prediction request message to the capability openness platform 131, and receive the current rate and the possibly increased rate range of the terminal 1332 fed back by the capability openness platform 131;
the capability openness platform 131 is configured to receive the rate prediction request message; determining a first parameter value of the terminal 132 and a second parameter value of a base station accessed by the terminal according to the rate prediction request message; wherein the first parameter value comprises: signal to interference plus noise ratio, SINR, of the terminal 132 and quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI; determining the current speed and the possible speed range to be promoted of the terminal 132 according to the first parameter value of the terminal 132, the second parameter value of the base station and the network type of the terminal 132; the current rate and the range of rates to which the terminal 132 may be boosted are sent to the terminal 132.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, 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 (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (11)
1. A method of rate prediction, comprising:
network side equipment receives a rate prediction request message sent by a terminal;
determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal according to the rate prediction request message; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI;
determining the current speed and the possible speed range to be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal;
and sending the current speed and the possible speed range to be promoted of the terminal to the terminal.
2. The method of claim 1, wherein determining a first parameter value of the terminal and a second parameter value of a base station to which the terminal is connected according to the rate prediction request message comprises:
sending a first request message for requesting a first parameter value of the terminal to the terminal;
receiving a first parameter value fed back by the terminal; and
transmitting a second request message for requesting a second parameter value of the base station to the base station;
and receiving a second parameter value fed back by the base station.
3. The method of claim 1, wherein the rate prediction request message carries location information of the terminal; then
Determining a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses according to the rate prediction request message, specifically including:
determining a Mobile Management Entity (MME) corresponding to the terminal according to the position information of the terminal carried in the rate prediction request message;
and determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal through the MME corresponding to the terminal.
4. The method according to claim 3, wherein determining, by the MME corresponding to the terminal, the first parameter value of the terminal and the second parameter value of the base station to which the terminal accesses specifically includes:
sending a third request message for requesting a third parameter value of the terminal and a second parameter value of the base station to the MME, so that the MME acquires the third parameter value of the terminal and the second parameter value of the base station from the base station according to the third request message; wherein the third parameter value of the terminal comprises: the channel quality indicator CQI and QCI of the terminal;
receiving a third parameter value of the terminal and a second parameter value of the base station fed back by the MME;
and determining the SINR of the terminal corresponding to the CQI according to the CQI in the third parameter value of the terminal.
5. The method of claim 1, wherein determining the current rate and the range of rates to which the terminal may be boosted based on the first parameter value of the terminal and the second parameter value of the base station, and the network type of the terminal comprises:
according to the formula
Determining the current rate of the terminal; wherein x is the value of QCI of the terminal, SxIs the current rate of the terminal, niThe current user number of the base station corresponding to the QCI with the value of i, aiA scheduling weight ratio set for the base station for a QCI of value i; m is the maximum throughput of the base station and is determined by the SINR of the terminal;
and determining the rate range to which the terminal can be promoted according to the current rate of the terminal and the network type of the terminal.
6. A rate prediction apparatus, comprising:
a receiving unit, configured to receive a rate prediction request message sent by a terminal;
a parameter determining unit, configured to determine a first parameter value of the terminal and a second parameter value of a base station to which the terminal accesses, according to the rate prediction request message received by the receiving unit; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI;
a rate determining unit, configured to determine a current rate and a rate range that may be increased of the terminal according to the first parameter value of the terminal and the second parameter value of the base station determined by the parameter determining unit, and the network type of the terminal;
and the sending unit is used for sending the current speed and the possible speed range to be promoted of the terminal determined by the speed determining unit to the terminal.
7. The apparatus of claim 6, wherein the parameter determining unit specifically comprises:
a first sending module, configured to send a first request message for requesting a first parameter value of the terminal to the terminal;
a first receiving module, configured to receive a first parameter value fed back by the terminal;
a second sending module, configured to send a second request message for requesting a second parameter value of the base station to the base station;
and the second receiving module is used for receiving a second parameter value fed back by the base station.
8. The apparatus of claim 6, wherein the rate prediction request message carries location information of the terminal; then
The parameter determining unit specifically includes:
an MME determining module, configured to determine, according to the location information of the terminal carried in the rate prediction request message, a mobility management entity MME corresponding to the terminal;
a parameter determining module, configured to determine, through the MME corresponding to the terminal determined by the MME determining module, a first parameter value of the terminal and a second parameter value of a base station to which the terminal is accessed.
9. The apparatus of claim 8, wherein the parameter determination module is specifically configured to:
sending a third request message for requesting a third parameter value of the terminal and a second parameter value of the base station to the MME, so that the MME acquires the third parameter value of the terminal and the second parameter value of the base station from the base station according to the third request message; wherein the third parameter value of the terminal comprises: the channel quality indicator CQI and QCI of the terminal; receiving a third parameter value of the terminal and a second parameter value of the base station fed back by the MME; and determining the SINR of the terminal corresponding to the CQI according to the CQI in the third parameter value of the terminal.
10. The apparatus as claimed in claim 6, wherein said rate determining unit is specifically configured to:
according to the formula
Determining the current rate of the terminal; wherein x is the value of QCI of the terminal, SxIs the current rate of the terminal, niThe current user number of the base station corresponding to the QCI with the value of i, aiA scheduling weight ratio set for the base station for a QCI of value i; m is the maximum throughput of the base station and is determined by the SINR of the terminal;
and determining the rate range to which the terminal can be promoted according to the current rate of the terminal and the network type of the terminal.
11. A rate prediction system comprising a capability openness platform and a terminal, wherein:
the terminal is used for sending a rate prediction request message to the capability opening platform and receiving the current rate and the rate range which can be increased of the terminal fed back by the capability opening platform;
the capability open platform is used for receiving the rate prediction request message; determining a first parameter value of the terminal and a second parameter value of a base station accessed by the terminal according to the rate prediction request message; wherein the first parameter value comprises: a signal to interference plus noise ratio, SINR, of the terminal and a quality of service class identifier, QCI, the second parameter values comprising: the base station sets a scheduling weight ratio for each QCI and the number of current users corresponding to each QCI; determining the current speed and the possible speed range to be increased of the terminal according to the first parameter value of the terminal, the second parameter value of the base station and the network type of the terminal; and sending the current speed and the possible speed range to be promoted of the terminal to the terminal.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101120530A (en) * | 2004-12-22 | 2008-02-06 | 高通股份有限公司 | Systems and methods that utilize a capacity-based signal-to-noise ratio to predict and improve mobile communication |
| JP2015185932A (en) * | 2014-03-20 | 2015-10-22 | 株式会社Ｎｔｔドコモ | User terminal, radio base station, and radio communication method |
| KR20150121566A (en) * | 2014-04-21 | 2015-10-29 | 국방과학연구소 | Communication system and controlling method thereof |
| CN105024779A (en) * | 2014-04-18 | 2015-11-04 | 深圳市中兴微电子技术有限公司 | Method and device for adaptive channel quality indication selection |
-
2015
- 2015-11-16 CN CN201510784259.4A patent/CN106714203B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101120530A (en) * | 2004-12-22 | 2008-02-06 | 高通股份有限公司 | Systems and methods that utilize a capacity-based signal-to-noise ratio to predict and improve mobile communication |
| JP2015185932A (en) * | 2014-03-20 | 2015-10-22 | 株式会社Ｎｔｔドコモ | User terminal, radio base station, and radio communication method |
| CN105024779A (en) * | 2014-04-18 | 2015-11-04 | 深圳市中兴微电子技术有限公司 | Method and device for adaptive channel quality indication selection |
| KR20150121566A (en) * | 2014-04-21 | 2015-10-29 | 국방과학연구소 | Communication system and controlling method thereof |
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