WO2012101709A1 - スループット推定装置 - Google Patents
スループット推定装置 Download PDFInfo
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- WO2012101709A1 WO2012101709A1 PCT/JP2011/006684 JP2011006684W WO2012101709A1 WO 2012101709 A1 WO2012101709 A1 WO 2012101709A1 JP 2011006684 W JP2011006684 W JP 2011006684W WO 2012101709 A1 WO2012101709 A1 WO 2012101709A1
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- throughput
- radio link
- link quality
- quality information
- throughput estimation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/22—Negotiating communication rate
Definitions
- the present invention relates to a throughput estimation apparatus that estimates throughput.
- the transmitting device When the transmitting device transmits data to the receiving device, a part of the data may be lost (disappeared), so that only another part of the data may reach the receiving device. Also, when the transmitting device transmits data to the receiving device, a part of the data is accumulated in the communication network, so that the arrival of the data at the receiving device is excessively delayed (the transmitting device transmits the data). In some cases, the delay time, which is the time from when the data reaches the receiving device, becomes excessive).
- the amount of data (data arrival amount) that has reached the reception device per unit time (received by the reception device) is called throughput.
- the transmitting apparatus transmits data to the receiving apparatus at a transmission rate of 4 Mbps
- 25% of the data that is, a portion corresponding to 1 Mbps
- the transmission rate is the amount of data which the transmission device has transmitted per unit time.
- the receiving device receives data at 3 Mbps. That is, the throughput is 3 Mbps.
- the receiving device is receiving data at 3 Mbps due to an increase in delay time. Again, the throughput is 3 Mbps.
- the data transmitted from the transmission device to the reception device is multimedia data such as video and / or audio
- the lack of data causes noise in the video and / or audio.
- an excessive delay time may stop video and / or audio playback.
- the mobile station (reception device) and the transmission device are communicably connected to each other through the wireless link established between the mobile station and the base station.
- the case where it applies to a mobile communication system is assumed.
- the data transfer rate in the radio link changes due to the change in the quality of the radio link (radio link quality).
- the throughput also changes.
- the data transfer rate is the amount of data transferred per unit time in the radio link.
- FIG. 1 shows that the data transfer rate in the radio link increases as the pipe thickness increases (that is, the radio link quality increases).
- FIG. 1 shows that the transmission rate increases as the number of arrows entering the pipe increases.
- An arrow coming out of the pipe represents the throughput.
- FIG. 1 shows that the greater the number of arrows exiting the pipe, the higher the throughput.
- FIG. 1 represents a state in which the radio link quality is the highest and the throughput is the highest.
- FIG. 1B shows a state where the radio link quality is the lowest and the throughput is the lowest.
- FIG. 1C shows a state in which the radio link quality is the second highest and the throughput is the second highest. In this way, the throughput also changes as the radio link quality changes.
- the throughput estimation apparatus estimates the throughput without being based on the radio link quality. Therefore, there is a possibility that the throughput when data is transmitted via the wireless link cannot be estimated with high accuracy.
- an object of the present invention is to provide a throughput estimation device that can solve the above-mentioned problem that “the throughput when data is transmitted via a wireless link cannot be estimated with high accuracy”. There is.
- Radio link quality information acquisition means for acquiring radio link quality information representing the quality of a radio link established between a mobile station and a base station in a mobile communication network; Throughput, which is the amount that the mobile station receives per unit time of data transmitted by a transmission device that is communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information.
- a throughput estimation method includes: Obtaining radio link quality information representing the quality of the radio link established between the mobile station and the base station in the mobile communication network; Throughput, which is the amount that the mobile station receives per unit time of data transmitted by a transmission device that is communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information. This is an estimation method based on this.
- a throughput estimation program is In the information processing device, Obtaining radio link quality information representing the quality of the radio link established between the mobile station and the base station in the mobile communication network; Throughput, which is the amount that the mobile station receives per unit time of data transmitted by a transmission device that is communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information.
- This is a program for executing processing to be estimated based on the above.
- the present invention is configured as described above, and can estimate the throughput when data is transmitted via a wireless link with high accuracy.
- Wireless link is an explanatory diagram conceptually showing the changes in the throughput due to the change in quality. It is a diagram illustrating a schematic configuration of a mobile communication system according to a first embodiment of the present invention. It is a block diagram showing the outline of the function of the mobile communication system which concerns on 1st Embodiment of this invention. It is the graph which showed an example of the change with respect to the time of a transmission rate and a throughput in case a transmitter transmits data to a receiver via a radio link. It is the graph which showed the change with respect to time of a radio link quality value. Wireless link is a graph showing the correlation between the variation of the variation and throughput quality value.
- the mobile communication system 1 includes a transmission device (throughput estimation device) 100, a reception device (mobile station) 200, and a base station BS.
- the transmission device 100 and the base station BS are connected to each other via a communication line (in this example, a communication line constituting a mobile communication network) NW.
- the base station BS establishes a radio link with the receiving device 200.
- the radio link constitutes a mobile communication network.
- the base station BS communicates wirelessly with the receiving device 200 via the established wireless link.
- the transmission device 100 is an information processing device.
- the transmission device 100 includes a central processing unit (CPU: Central Processing Unit) and a storage device (memory and hard disk drive (HDD)) (not shown).
- CPU Central Processing Unit
- HDD hard disk drive
- the transmission device 100 is configured to realize functions to be described later when the CPU executes a program stored in the storage device.
- the receiving device 200 is a mobile terminal.
- the receiving device 200 is a mobile phone terminal, a smartphone, a personal computer, a PHS (Personal Handyphone System), a PDA (Personal Data Assistance, Personal Digital Assistant), a car navigation terminal, or a game terminal.
- PHS Personal Handyphone System
- PDA Personal Digital Assistant
- car navigation terminal or a game terminal.
- the receiving device 200 includes a CPU, a storage device (memory and HDD), an input device (for example, a touch panel, a button, a keyboard, a mouse, etc.), and an output device (display, etc.) not shown.
- the receiving device 200 is configured to realize functions to be described later when the CPU executes a program stored in the storage device.
- FIG. 3 is a block diagram showing functions of the mobile communication system 1.
- the functions of the transmission apparatus 100 are a data transmission unit 101, a reception rate acquisition unit (throughput acquisition unit) 103, a radio link quality information acquisition unit (radio link quality information acquisition unit) 104, and a model parameter estimation unit (model parameter estimation). Means) 105 and a throughput estimation unit (throughput estimation means) 106.
- the functions of the receiving device 200 include a data receiving unit 201, a received information transmitting unit 202, a radio link quality value acquiring unit 203, and a radio link quality value transmitting unit 204.
- the data transmission unit 101 transmits data to the receiving device 200.
- the data transmission unit 101 transmits data according to UDP (User Datagram Protocol) / IP (Internet Protocol) or TCP (Transmission Control Protocol) / IP.
- UDP User Datagram Protocol
- IP Internet Protocol
- TCP Transmission Control Protocol
- the data reception unit 201 receives data transmitted by the transmission device 100.
- the data receiving unit 201 calculates (acquires) reception information every time a preset calculation cycle h elapses.
- the reception information includes information that allows the reception device 200 to calculate a reception rate that is the amount of data received from the transmission device 100 per unit time.
- the reception information transmission unit 202 transmits the reception information acquired by the data reception unit 201 to the transmission device 100.
- Receiving rate acquisition unit 103 receives the reception information transmitted by the reception information transmitter 202.
- the reception rate acquisition unit 103 calculates (acquires) a reception rate (throughput) that is the amount of data received per unit time by the reception device 200 from the transmission device 100 based on the received reception information.
- the radio link quality value acquisition unit 203 acquires a radio link quality value representing the quality of the radio link established between the base station BS and the receiving device 200 in the mobile communication network.
- the radio link quality value is a channel quality indicator (CQI: Channel Quality Indicator).
- the radio link quality value may be SINR (Signal to Interference and Noise Power Ratio), SIR (Signal to Interference Power Ratio), SNR (Signal to Noise Ratio), or the like.
- the radio link quality value transmission unit 204 transmits the radio link quality value acquired by the radio link quality value acquisition unit 203 to the transmission device 100.
- the radio link quality information acquisition unit 104 receives the radio link quality value transmitted by the radio link quality value transmission unit 204. Radio link quality information acquisition section 104 smoothes the received radio link quality value, and acquires the smoothed value as radio link quality information.
- the radio link quality information is information representing the quality of the radio link established between the base station BS and the receiving device 200 in the mobile communication network.
- the smoothing process is a process of moving average the radio link quality values. That is, the radio link quality information is a moving average value of the radio link quality values.
- the smoothing process may be a process of calculating a value obtained by averaging the radio link quality values acquired in the processing period for each preset processing period.
- the radio link quality information is an average value calculated for each treatment period.
- the smoothing process may be a process of inputting a radio link quality value to a low-pass filter (LPF).
- the radio link quality information is an output value from the low-pass filter.
- radio link quality information acquisition unit 104 may be configured to acquire the received radio link quality value as radio link quality information.
- the model parameter estimation unit 105 is a model based on the radio link quality information acquired by the radio link quality information acquisition unit 104, the reception rate (throughput) acquired by the reception rate acquisition unit 103, and a mathematical model described later. Estimate the parameters.
- the model parameter is a parameter for specifying the mathematical model.
- the mathematical model represents the relationship between throughput and radio link quality information.
- the mathematical model is a model constructed by assuming that a polynomial function (in this example, a linear function (linear expression)) having radio link quality information as a variable is equal to a throughput.
- FIG. 4 is a graph showing an example of changes in transmission rate and throughput with respect to time when the transmission apparatus 100 transmits data to the reception apparatus 200 via a wireless link.
- the transmission rate is constant (constant rate (CBR))
- the throughput fluctuates relatively violently.
- FIG. 5 is a graph showing a change with respect to time of CQI as a radio link quality value in the above example.
- CQI fluctuates relatively violently. Therefore, it can be seen that the CQI (radio link quality) fluctuates relatively severely, so that the throughput also fluctuates relatively severely.
- FIG. 6 is a graph showing the correlation between CQI variation and throughput variation.
- each solid line triangle represents a throughput (measured value of throughput) and CQI (measured value of CQI) measured at an arbitrary time point.
- the correlation coefficient between the measured value of CQI and the measured value of throughput was calculated, the correlation coefficient was 0.64. Therefore, it can be said that there is a slight correlation between the measured value of CQI and the measured value of throughput.
- each dotted circle represents a throughput measurement and a smoothed CQI at any point in time.
- This mathematical model is called a CQI linear model.
- This mathematical model is expressed by Equation 1. Where v is the throughput, q is the smoothed CQI (ie, radio link quality information), a is the slope of the linear equation, and b is the intercept of the linear equation. a and b constitute model parameters.
- the model parameter estimation unit 105 calculates (estimates) the model parameter by using the least square estimation method based on the smoothed CQI, the measured value of the throughput, and Equation 1.
- the throughput estimation unit 106 estimates the throughput based on the mathematical model specified by the model parameter estimated by the model parameter estimation unit 105 and the radio link quality information acquired by the radio link quality information acquisition unit 104.
- the transmission device 100 transmits data to the reception device 200.
- the receiving apparatus 200 receives data.
- the receiving device 200 acquires reception information whenever the said calculation period h passes.
- the receiving apparatus 200 transmits the acquired reception information to the transmitting apparatus 100.
- the transmission device 100 receives the reception information. Then, the transmission device 100 acquires the throughput based on the received reception information.
- the receiving apparatus 200 acquires a radio link quality value. Then, the receiving apparatus 200 transmits the obtained radio link quality value to the transmitting apparatus 100. Thereby, the transmission device 100 receives the radio link quality value. Then, the transmitting apparatus 100 acquires radio link quality information based on the received radio link quality value.
- the transmitting apparatus 100 estimates model parameters based on the acquired throughput and the acquired radio link quality information.
- the receiving apparatus 200 acquires the radio link quality value again. Then, the receiving apparatus 200 transmits the obtained radio link quality value to the transmitting apparatus 100. Thereby, the transmission device 100 receives the radio link quality value. Then, the transmitting apparatus 100 acquires radio link quality information based on the received radio link quality value.
- the transmitting apparatus 100 estimates the throughput based on the mathematical model specified by the estimated model parameter and the acquired radio link quality information.
- FIG. 7 is a graph showing an example of changes in throughput (estimated value of throughput) estimated by the transmission apparatus 100, measured values of throughput, and smoothed CQI with respect to time.
- the solid line represents the measured value of the throughput
- the dotted line represents the estimated value of the throughput
- the alternate long and short dash line represents the smoothed CQI.
- the transmission apparatus 100 can estimate the throughput with high accuracy by using the CQI linear model.
- the transmission apparatus (throughput estimation apparatus) 100 As described above, according to the transmission apparatus (throughput estimation apparatus) 100 according to the first embodiment of the present invention, it is possible to estimate the throughput when data is transmitted via a radio link with high accuracy. it can.
- a mobile communication system according to a second embodiment of the present invention is described.
- the mobile communication system according to the second embodiment is different from the mobile communication system according to the first embodiment in the mathematical model used by the transmission apparatus. Accordingly, the following description will focus on such differences.
- the cross traffic is traffic other than the traffic of interest (self-traffic) among the traffic passing through a certain section on the communication path.
- the self-traffic is data transmitted from the transmission device 100 to the reception device 200.
- a pipe represents a communication bandwidth in a section where cross traffic exists in a communication path.
- the arrow that enters the pipe represents the transmission rate.
- FIG. 8 shows that the transmission rate increases as the number of arrows entering the pipe increases.
- An arrow coming out of the pipe represents the throughput.
- FIG. 8 shows that the throughput increases as the number of arrows exiting the pipe increases.
- a solid arrow indicates self-traffic, and a dotted arrow indicates cross-traffic.
- the data loss rate is a rate at which data (for example, packets) is lost in the communication network.
- the delay time is the time from when data is transmitted to when it is received.
- the cross traffic is transmitted according to TCP
- transmission rate control is performed so as to reduce the data loss rate and the delay time. That is, when the communication bandwidth used by self-traffic increases, the transmission rate related to cross traffic is reduced. Thereby, the throughput related to self-traffic becomes larger (the state shown in FIG. 8C). Thus, the throughput related to self-traffic varies due to the interaction between traffic.
- the transmission apparatus 100 uses a mathematical model that takes into consideration the influence of the interaction between traffic on the throughput.
- This mathematical model is a model that represents the relationship among throughput, radio link quality information, and transmission rate.
- a dynamic model including the moving body M1, the spring M2 as an elastic body (elastic element), and the dashpot M3 as a viscous body (viscous element) shown in FIG.
- a mathematical model is constructed by expressing the relationship between the radio link quality information and the transmission rate and throughput related to self-traffic.
- This dynamic model is a model simulating the data transmitted from the transmission device 100 to the reception device 200 by the fluid flowing through the passage partitioned by the first wall surface W1 and the moving body M1.
- the moving body M1 is a plate-like body that is disposed in the passage and is movable in a preset moving direction (vertical direction in FIG. 9).
- Spring M2 is a coil spring having a spring constant (elastic coefficient) K. One end of the spring M2 is fixed to the moving body M1, and the other end is fixed to the second wall surface W2. With such a configuration, the spring M2 is deformed in the moving direction by the amount of movement of the moving body M1 in the moving direction.
- the dash pot M3 has a viscosity coefficient D.
- the dash pot M3 has one end fixed to the moving body M1 and the other end fixed to the second wall surface W2. With such a configuration, the dashpot M3 delays movement of the moving body M1 in the moving direction due to an external force applied to the moving body M1.
- the spring constant K and the viscosity coefficient D are constant values (having linear characteristics).
- the spring constant K and / or the viscosity coefficient D may have nonlinear characteristics.
- the dynamic model the external force applied to the moving body M1 in the moving direction by the fluid corresponding to the data transmitted from the transmitting apparatus 100 to the receiving apparatus 200 at the transmission rate u (unit: [bps]) is the transmission rate.
- This model is assumed to have a size f (u) corresponding to u.
- the dynamic model has a throughput v (in units of a distance in the movement direction between a preset reference position (in this example, the position of the first wall surface W1) p ref and the position p of the moving body M1. , [Bps]). That is, it can be said that this dynamic model is a model representing the relationship between the throughput and the transmission rate.
- the dashpot M3 when the moving body M1 is stationary in the moving direction (the speed is 0), the dashpot M3 does not generate a resistance force. Further, the resistance force generated by the dashpot M3 has a magnitude obtained by multiplying the speed at which the moving body M1 moves in the moving direction by the viscosity coefficient D which is a proportional coefficient, and the moving body M1 moves. It works in the opposite direction.
- Equation 2 an equation governing the motion of the moving body M1 is described as Equation 2. Note that the term dv / dt represents the differentiation of the distance v in the moving direction between the reference position p ref and the position p of the moving body M1 with respect to time t.
- the spring constant K in this viscoelastic model represents the “difficulty of pushing away” of the cross traffic.
- the viscosity coefficient D can be considered to represent the “degree of stickiness” or “dullness of response” of cross traffic.
- Equation 3 M is the mass of the moving body M1.
- D 2 v / dt 2 represents a second-order derivative with respect to time t of the distance v in the moving direction between the reference position p ref and the position p of the moving body M1.
- the viscoelastic body model in which the spring M2 and the dashpot M3 are connected in parallel to the moving body M1 is called a Kelvin-Forked model.
- the dynamic model may be a viscoelastic body model in which a spring M2 and a dashpot M3 are connected in series to the moving body M1. This viscoelastic body model is called a Maxwell model.
- the dynamic model includes a plurality of (two in this example) springs M2 and M4 and a plurality of (two in this example) dash pots M3 and M5. It may be an elastic body model (four element model).
- the spring M2 and the dashpot M3 are connected to the moving body M1 in series, and the spring M4 and the dashpot M5 are connected in parallel to the dashpot M3.
- equations governing the motion of the moving object M1 is the third derivative (jerk respect to time t of the distance v in the moving direction between the reference position p ref and the position p of the moving object M1, or, A term including a degree of jerk) or a term including a higher order differential of the third or higher order.
- the CQI linear model (Formula 1), which is the mathematical model according to the first embodiment described above, is a model that takes into consideration the influence of the quality of the radio link on the throughput.
- the above-described dynamic model (Formula 2) is a model that takes into consideration the effect of cross traffic on throughput.
- both the quality of the radio link and the cross traffic affect the throughput. Therefore, it is considered preferable to use a mathematical model that takes into account both the influence of the quality of the radio link on the throughput and the influence of cross traffic on the throughput.
- the transmitting apparatus 100 uses a CQI linear model and a model obtained by fusing a dynamic model (hereinafter referred to as a hybrid model) as a mathematical model.
- a hybrid model obtained by fusing a dynamic model (hereinafter referred to as a hybrid model) as a mathematical model.
- the hybrid model will be described in detail.
- Equation 4 f (u) on the right side of Equation 2 representing the dynamic model is defined as Equation 4.
- the external force f (u) applied to the moving body M1 in the movement direction by the fluid corresponding to the data transmitted from the transmission device 100 to the reception device 200 at the transmission rate u is determined by the transmission rate u
- the external force f (u) includes a polynomial function (in this example, a linear function (linear expression)) with the radio link quality information q as a variable, and a transmission rate u. It is a model built by assuming that it is a product.
- the hybrid model is expressed by an ordinary differential equation related to the throughput v having a function with the transmission rate u and the radio link quality information q as variables as inhomogeneous terms.
- the inhomogeneous term is a product of a polynomial function (in this example, a linear function (primary expression)) with the radio link quality information q as a variable and a transmission rate u.
- the hybrid model can also be said to be a model constructed so that the inhomogeneous term represents the external force f (u).
- the hybrid model that is the mathematical model according to the second embodiment has been described above. Next, a method for estimating D, a, and b, which are model parameters for specifying a hybrid model, will be described.
- the method for estimating the model parameters D, a, and b may be a method for analytically calculating an optimal solution such as the least square estimation method, or the model parameter may be calculated by iterative calculation such as the steepest descent method.
- An estimation method may be used.
- Equation 5 expressed by a differential equation that is an equation for continuous time is rewritten as a difference equation.
- the calculation cycle (sampling interval) h is a time interval (time step), and a backward (backward) difference is used.
- Equation 8 is obtained.
- ⁇ (k) and ⁇ are defined as Expression 9 and Expression 10, respectively.
- X T represents a transposed matrix of the matrix X.
- each of ⁇ (k) and ⁇ is a three-dimensional column vector.
- Equation 8 which is a difference equation can be expressed as shown in Equation 11 using ⁇ (k) and ⁇ .
- Equation 11 the least square estimation method can be applied to ⁇ . If ⁇ estimated by the least square estimation method is ⁇ e , ⁇ e can be obtained by Equation 12.
- ⁇ (X) represents a value obtained by integrating X with respect to k (that is, the total sum of X for each calculation cycle h).
- X ⁇ 1 represents an inverse matrix of the matrix X.
- the function of the transmission apparatus 100 according to the second embodiment includes a transmission rate acquisition unit (transmission rate acquisition means) 102 in addition to the function of the transmission apparatus 100 according to the first embodiment. Including.
- the transmission rate acquisition unit 102 calculates (acquires) a transmission rate that is the amount (size) of data transmitted to the receiving apparatus 200 per unit time by the data transmission unit 101 every time the calculation cycle h elapses. .
- the model parameter estimation unit 105 includes the radio link quality information (smoothed CQI in this example) q (k) acquired by the radio link quality information acquisition unit 104, and the reception rate acquisition.
- the radio link quality information smoothed CQI in this example
- q (k) acquired by the radio link quality information acquisition unit 104
- the reception rate acquisition As described above based on the throughput (measured value of throughput) v (k) acquired by the unit 103, the transmission rate u (k) acquired by the transmission rate acquisition unit 102, and the hybrid model described above.
- the model parameters are calculated (estimated) by using the least squares estimation method.
- the throughput estimation unit 106 includes a mathematical model (hybrid model) specified by the model parameter estimated by the model parameter estimation unit 105, and the radio link acquired by the radio link quality information acquisition unit 104. Throughput is estimated based on the quality information and the transmission rate acquired by the transmission rate acquisition unit 102. In this example, the throughput estimation unit 106 estimates the throughput based on Equation 8.
- the transmission apparatus (throughput estimation apparatus) 100 according to the second embodiment of the present invention the same operations and effects as those of the transmission apparatus 100 according to the first embodiment can be achieved. Furthermore, the transmission device 100 according to the second embodiment estimates the throughput based on a mathematical model constructed by expressing the relationship between the transmission rate and the throughput by a dynamic model. According to this, it is possible to estimate the throughput in the presence of cross traffic with higher accuracy.
- the transmission device 100 estimates the throughput based on a mathematical model constructed by expressing the relationship between the transmission rate and the throughput by a dynamic model including an elastic body and a viscous body.
- the change in the transmission rate related to the cross traffic caused by the change in the transmission rate related to the self-traffic is well represented by the elastic force of the elastic body.
- a delay time is required from when the transmission apparatus 100 changes the transmission rate related to self-traffic until the transmission rate related to cross-traffic changes. This delay time is well represented by the resistance of the viscous body. Therefore, according to the transmission device 100 according to the second embodiment, it is possible to estimate the throughput in the presence of cross traffic with higher accuracy.
- FIG. 13 is an explanatory diagram conceptually showing the contents of the simulation.
- a plurality (12 in this example) of users R1 to R4 and C1 to C8 hold one receiving apparatus 200 different from each other.
- Each of the users R1 to R4 is a user holding the receiving apparatus 200 that is a target for estimating the throughput.
- User R1 is walking at a position 100 m away from base station BS.
- User R2 is, is walking at a position spaced 300m from the base station BS.
- User R3 is in a car traveling at a position 300 m away from base station BS.
- User R4 is in a car traveling at a position 500 m away from base station BS.
- each of the users C1 to C8 is a user holding the receiving device 200 that receives the cross traffic.
- User C1 is located on the indoor at a position spaced 100m from the base station BS.
- User C2 is located indoors at a position 300 m away from base station BS.
- User C3 is located indoors at a position 500 m away from base station BS.
- the user C4 is walking at a position 700 m away from the base station BS.
- User C5 is in a car traveling at a position 700 m away from base station BS.
- User C6 is in a car traveling at a position 700 m away from base station BS.
- User C7 is walking at a position separated from the base station BS by 1000 m.
- User C8 is located indoors at a position 1000 m away from base station BS.
- the longer the distance between the receiving device 200 and the base station BS the lower (bad) the quality of the radio link. Also, the quality of the radio link is lower when the user is in a traveling car than when the user is walking.
- the transmission device 100 transmits data to each of the reception devices 200 held by the users R1 to R4 via the base station BS at a transmission rate having a preset pattern.
- this pattern is a rectangular wave in which 0 Mbps and 0.6 Mbps (0.8 Mbps only when transmitting to the receiving apparatus 200 held by the user R2) are alternately repeated every 10 seconds. is there.
- the cross traffic is transmitted according to FTP (File Transfer Protocol) / TCP.
- FTP File Transfer Protocol
- TCP Transmission Control Protocol
- the cross traffic is the traffic associated with the download of the file.
- the receiving device 200 held by the user R1 is a target for estimating the throughput, and the cross traffic is transmitted only to each of the receiving devices 200 held by the users C1 to C5.
- the receiving device 200 held by the user R2 is a target for estimating the throughput, and the cross traffic is transmitted only to each of the receiving devices 200 held by the users C1 to C3.
- the receiving device 200 held by the user R3 is a target for estimating the throughput, and the cross traffic is transmitted only to each of the receiving devices 200 held by the users C1 to C3.
- the receiving device 200 held by the user R4 is a target for estimating the throughput, and the cross traffic is transmitted only to each of the receiving devices 200 held by the users C1 to C3.
- the transmission device 100 acquires, for each of the four simulations, the acquired throughput (measurement value of throughput), the acquired radio link quality information (smoothed CQI), and a mathematical model (hybrid model). Based on the above, the model parameters are estimated.
- the transmission device 100 performs, for each of the four simulations, a mathematical model (hybrid model) specified by the estimated model parameters, a transmission rate, and acquired radio link quality information (smoothed CQI). ) And the throughput is estimated based on the above.
- a mathematical model specified by the estimated model parameters, a transmission rate, and acquired radio link quality information (smoothed CQI).
- FIG. 15 is a graph showing a change with time of a radio link quality value (CQI in this example) representing the quality of a radio link established between the receiving apparatus 200 and the base station BS held by the user R1. is there.
- the CQI related to the receiving apparatus 200 held by the user R1 has very small fluctuations (very stable) and very high.
- FIG. 16 is a graph showing a change with time of a radio link quality value indicating the quality of a radio link established between the receiving apparatus 200 held by the user R2 and the base station BS.
- the CQI related to the receiving apparatus 200 held by the user R2 is slightly small (slightly stable) and slightly high with respect to time.
- FIG. 17 is a graph showing a change in the radio link quality value representing the quality of the radio link established between the receiving apparatus 200 and the base station BS held by the user R3 with respect to time.
- the CQI related to the receiving device 200 held by the user R3 has a very large variation (not stable) with respect to time, and the average value is similar to that of the receiving device 200 held by the user R2.
- FIG. 18 is a graph showing a change in the radio link quality value representing the quality of the radio link established between the receiving apparatus 200 held by the user R4 and the base station BS with respect to time.
- the CQI related to the receiving apparatus 200 held by the user R4 has a very large variation (not stable) with respect to time and is very low. That is, it can be said that this wireless link is a very unstable wireless link.
- FIG. 19 is a graph showing changes of the transmission rate, the measured value of the throughput, and the estimated value of the throughput (throughput estimated by the transmission device 100) with respect to time in the first simulation. As shown in FIG. 15, since the radio link quality value is stable at a high value, the throughput is mainly affected by cross traffic.
- the change in throughput is delayed by the time required to push away the cross traffic with respect to the change in transmission rate. That is, as shown in FIG. 19, the rise of the throughput draws a curve.
- the estimated throughput is a good reproduction of this curve drawn by the measured throughput.
- the transmission rate is increased stepwise, it is impossible to push out all of the cross traffic even after the delay time has elapsed. That is, as shown in FIG. 19, the maximum value of the throughput is smaller than the maximum value of the transmission rate.
- the estimated value of the throughput well reproduces that the maximum measured value of the throughput is smaller than the maximum value of the transmission rate.
- the transmission apparatus 100 can estimate the throughput with high accuracy by using the hybrid model.
- FIG. 20 shows each time of the measured value of the loss rate (packet loss rate) and the estimated value of the loss rate (loss rate calculated based on the throughput estimated by the transmission device 100) in the first simulation. It is the graph which showed the change with respect to.
- the transmission apparatus 100 can estimate the loss rate with high accuracy by using the hybrid model.
- FIG. 21 is a graph showing changes of the transmission rate, the measured value of the throughput, and the estimated value of the throughput with respect to each time in the second simulation. As shown in FIG. 16, since the radio link quality value slightly fluctuates, the throughput is relatively greatly affected by the quality of the radio link in addition to the cross traffic.
- the effect of the quality of the radio link on the throughput is particularly strong in the period of 10 to 20 seconds.
- the radio link quality value In the period from 10 seconds to 20 seconds, the radio link quality value is relatively low, so the throughput is also relatively low.
- the throughput changes in the same manner as in the first simulation.
- the transmitting apparatus 100 can estimate the throughput with high accuracy by using the hybrid model.
- FIG. 22 is a graph showing changes of the measured loss rate and the estimated loss rate with respect to time in the second simulation.
- the transmission apparatus 100 can estimate the loss rate with high accuracy including a sudden increase in the loss rate in the period of 10 to 20 seconds by using the hybrid model.
- FIG. 23 is a graph showing changes in the transmission rate, the measured value of the throughput, and the estimated value of the throughput with respect to time in the third simulation. As shown in FIG. 17, since the radio link quality value varies greatly, the throughput is relatively greatly affected by the quality of the radio link.
- the quality of the radio link may be relatively lowered. Due to this influence, there are times when the throughput also decreases relatively. On the other hand, in the period of 30 seconds to 40 seconds, the quality of the radio link is relatively high, so that the throughput is mainly affected by cross traffic.
- the transmission apparatus 100 can estimate the throughput with high accuracy by using the hybrid model.
- FIG. 24 is a graph showing changes in the measured loss rate and the estimated loss rate with respect to time in the third simulation.
- the transmission apparatus 100 can estimate the loss rate with high accuracy including the packet loss that occurs when the quality of the radio link is greatly reduced by using the hybrid model.
- FIG. 25 is a graph showing changes of the transmission rate, the measured value of the throughput, and the estimated value of the throughput with respect to time in the fourth simulation. As shown in FIG. 18, since the radio link quality value varies greatly, the throughput is relatively greatly affected by the quality of the radio link.
- the throughput is low during periods when the radio link quality is low.
- the throughput is relatively greatly affected by both the quality of the radio link and the cross traffic.
- the transmission apparatus 100 can estimate the throughput with high accuracy by using the hybrid model.
- FIG. 26 is a graph showing changes in the measured loss rate and the estimated loss rate with respect to time in the fourth simulation.
- the transmission apparatus 100 can estimate the loss rate with high accuracy including the packet loss that occurs when the quality of the radio link is greatly reduced by using the hybrid model.
- the throughput estimation apparatus 100 estimates the throughput when data is transmitted via the radio link in the presence of cross traffic with high accuracy. It became clear that you can.
- the mathematical model is constructed by expressing the relationship among the throughput, the radio link quality information, and the transmission rate by a dynamic model, but the relationship is expressed by another model (for example, a heat conduction model). , A fluid model, or a circuit model).
- a throughput estimation apparatus 500 A radio link quality information acquisition unit (radio link quality information acquisition means) 501 for acquiring radio link quality information indicating the quality of a radio link established between a mobile station and a base station in a mobile communication network; Throughput, which is the amount that the mobile station receives per unit time of data transmitted by a transmission device that is communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information.
- a throughput estimation unit (throughput estimation means) 502 for estimating based on Is provided.
- the transmission device that transmits data to the reception device constitutes the throughput estimation device, but the reception device may constitute the throughput estimation device.
- a device other than the receiving device and the transmitting device for example, a base station or a server device
- each function of the mobile communication system 1 is realized by the CPU executing a program (software), but may be realized by hardware such as a circuit.
- the program is stored in the storage device, but may be stored in a computer-readable recording medium.
- the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.
- Radio link quality information acquisition means for acquiring radio link quality information representing the quality of a radio link established between a mobile station and a base station in a mobile communication network; Throughput, which is the amount that the mobile station receives per unit time of data transmitted by a transmission device communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information.
- a throughput estimation apparatus comprising:
- the polynomial function using the radio link quality information as a variable and the throughput have a relatively strong correlation. Therefore, by configuring the throughput estimation apparatus as described above, it is possible to estimate the throughput when data is transmitted via the wireless link with higher accuracy.
- the linear function using radio link quality information as a variable and the throughput have a relatively strong correlation. Therefore, by configuring the throughput estimation apparatus as described above, it is possible to estimate the throughput when data is transmitted via the wireless link with higher accuracy.
- the throughput estimation means is based on the mathematical model representing the relationship between the throughput, the radio link quality information, and the transmission rate, the acquired transmission rate, and the acquired radio link quality information.
- a throughput estimation device configured to estimate throughput.
- the transmission rate for cross traffic changes.
- the self-traffic is data transmitted from the transmission device to the mobile station.
- the cross traffic is data transmitted using a communication path that shares at least a part of the communication path from the transmission device to the mobile station.
- the throughput, the radio link quality information, and the transmission rate relating to self-traffic have a relatively strong correlation. Therefore, by configuring the throughput estimation apparatus as described above, it is possible to estimate the throughput in the presence of cross traffic with higher accuracy.
- Appendix 7 The throughput estimation apparatus according to appendix 6, wherein The inhomogeneous term is a throughput estimation device that is a product of a polynomial function having the radio link quality information as a variable and the transmission rate.
- the throughput estimation device according to any one of appendix 5 to appendix 8,
- the mathematical model is a throughput estimation device constructed by expressing a relationship among the throughput, the radio link quality information, and the transmission rate by a dynamic model.
- the relationship among the throughput, the radio link quality information, and the transmission rate related to self-traffic is well represented by a dynamic model. Therefore, by configuring the throughput estimation apparatus as described above, it is possible to estimate the throughput in the presence of cross traffic with higher accuracy.
- the throughput estimation apparatus (Appendix 10) The throughput estimation apparatus according to attachment 9, wherein
- the dynamic model is A movable body movable in a preset movement direction; At least one of an elastic body that deforms in the moving direction by the amount of movement of the moving body in the moving direction, and a viscous body that delays movement of the moving body in the moving direction;
- a throughput estimation apparatus including:
- the change in the transmission rate related to the cross traffic caused by the change in the transmission rate related to the self-traffic is well represented by the elastic force of the elastic body. Therefore, by configuring the throughput estimation apparatus as described above, it is possible to estimate the throughput in the presence of cross traffic with higher accuracy.
- Appendix 11 The throughput estimation apparatus according to appendix 10, wherein The mathematical model assumes that an external force applied to the moving body in the moving direction has a magnitude according to the transmission rate and the radio link quality information, and a preset reference position; A throughput estimation apparatus constructed by assuming that the distance in the moving direction between the position of a moving body and the moving body is the throughput.
- the throughput estimation apparatus according to any one of appendix 10 to appendix 12,
- the elastic force generated by the elastic body is obtained by multiplying the moving amount of the moving body from the powerless position, which is the position of the moving body where the elastic force becomes 0, by an elastic coefficient that is a proportional coefficient.
- a throughput estimation apparatus constructed by assuming that the moving body works in the direction opposite to the direction in which the moving body moves from the powerless position, having a value as a magnitude.
- the throughput estimation device according to any one of appendix 10 to appendix 13,
- the mathematical model has a resistance force generated by the viscous body as a magnitude obtained by multiplying a velocity at which the moving body moves in the movement direction by a viscosity coefficient that is a proportional coefficient, and the movement A throughput estimation device constructed by assuming that the body works in the direction opposite to the moving direction.
- the throughput estimation apparatus according to any one of supplementary notes 1 to 14, Throughput acquisition means for acquiring the throughput; Model parameter estimation means for estimating a model parameter for identifying the mathematical model based on the acquired throughput and the acquired radio link quality information;
- a throughput estimation apparatus comprising:
- the throughput estimation device according to any one of supplementary notes 1 to 15,
- the radio link quality information is a throughput estimation device that is a value based on a channel quality indicator (CQI).
- CQI channel quality indicator
- the throughput estimation device (Appendix 17) The throughput estimation device according to attachment 16, wherein The radio link quality information is a throughput estimation device that is a value obtained by smoothing a channel quality indicator.
- Radio link quality information representing the quality of the radio link established between the mobile station and the base station in the mobile communication network; Throughput, which is the amount that the mobile station receives per unit time of data transmitted by a transmission device communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information.
- a throughput estimation method based on estimation.
- the throughput estimation method according to attachment 18, comprising: A throughput estimation method for estimating the throughput based on a mathematical model representing a relationship between the throughput and the radio link quality information and the acquired radio link quality information.
- Radio link quality information representing the quality of the radio link established between the mobile station and the base station in the mobile communication network
- Throughput which is the amount that the mobile station receives per unit time of data transmitted by a transmission device communicably connected to the mobile station via the radio link, is obtained in the acquired radio link quality information.
- a throughput estimation program for executing a process based on the estimation.
- a throughput estimation program configured to execute a process of estimating the throughput based on a mathematical model representing a relationship between the throughput and the radio link quality information and the acquired radio link quality information.
- the present invention is applicable to a throughput estimation device that estimates throughput.
- Mobile communication system 100 Transmitting device (throughput estimating device) 101 Data Transmission Unit 102 Transmission Rate Acquisition Unit 103 Reception Rate Acquisition Unit 104 Radio Link Quality Information Acquisition Unit 105 Model Parameter Estimation Unit 106 Throughput Estimation Unit 200 Receiving Device (Mobile Station) 201 Data reception unit 202 Reception information transmission unit 203 Radio link quality value acquisition unit 204 Radio link quality value transmission unit 500 Throughput estimation device 501 Radio link quality information acquisition unit 502 Throughput estimation unit BS Base station M1 Mobile unit M2, M4 Spring M3 M5 dashpot W1 first wall surface W2 second wall surface
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Abstract
Description
図1において、パイプは、無線リンクを表している。図1は、パイプの太さが太くなるほど、無線リンクにおけるデータ転送レートが高くなる(即ち、無線リンク品質が高くなる)ことを表している。
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得する無線リンク品質情報取得手段と、
上記移動局と上記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、上記取得された無線リンク品質情報に基づいて推定するスループット推定手段と、
を備える。
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得し、
上記移動局と上記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、上記取得された無線リンク品質情報に基づいて推定する方法である。
情報処理装置に、
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得し、
上記移動局と上記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、上記取得された無線リンク品質情報に基づいて推定する、処理を実行させるためのプログラムである。
(構成)
図2に示したように、第1実施形態に係る移動体通信システム1は、送信装置(スループット推定装置)100と、受信装置(移動局)200と、基地局BSと、を含む。送信装置100、及び、基地局BSは、通信回線(本例では、移動体通信網を構成する通信回線)NWを介して、互いに通信可能に接続されている。
図3は、移動体通信システム1の機能を表すブロック図である。
送信装置100の機能は、データ送信部101と、受信レート取得部(スループット取得手段)103と、無線リンク品質情報取得部(無線リンク品質情報取得手段)104と、モデルパラメータ推定部(モデルパラメータ推定手段)105と、スループット推定部(スループット推定手段)106と、を含む。
次に、上述した移動体通信システム1の作動について説明する。
先ず、送信装置100は、受信装置200へデータを送信する。これにより、受信装置200は、データを受信する。そして、受信装置200は、上記演算周期hが経過する毎に受信情報を取得する。更に、受信装置200は、取得された受信情報を送信装置100へ送信する。
次に、本発明の第2実施形態に係る移動体通信システムについて説明する。第2実施形態に係る移動体通信システムは、上記第1実施形態に係る移動体通信システムに対して、送信装置が用いる数理モデルが相違している。従って、以下、かかる相違点を中心として説明する。
図8において、パイプは、通信経路のうちの、クロストラヒックが存在している区間における通信帯域幅を表している。
このように、トラヒック間の相互作用により、セルフトラヒックに係るスループットが変動する。
上述したように、送信装置100から受信装置200へ送信されたデータのスループットと、クロストラヒックの流量と、の間の定性的な関係は、相互に流量を押し退け合う(一方が増加した場合に他方を減少させ、一方が減少した場合に他方を増加させる)関係である、ということができる。
ここで、ハイブリッドモデルについて詳細に説明する。
次に、ハイブリッドモデルを特定するためのモデルパラメータである、D、a、及び、bを推定する方法について説明する。
更に、第2実施形態に係る送信装置100は、送信レートとスループットとの関係を力学モデルによって表すことにより構築された数理モデルに基づいてスループットを推定する。これによれば、クロストラヒックが存在する場合におけるスループットをより一層高い精度にて推定することができる。
第1のシミュレーションにおいては、ユーザR1が保持する受信装置200が、スループットを推定する対象であり、ユーザC1~C5が保持する受信装置200のそれぞれに対してのみ、クロストラヒックが送信される。
第2のシミュレーションにおいては、ユーザR2が保持する受信装置200が、スループットを推定する対象であり、ユーザC1~C3が保持する受信装置200のそれぞれに対してのみ、クロストラヒックが送信される。
第4のシミュレーションにおいては、ユーザR4が保持する受信装置200が、スループットを推定する対象であり、ユーザC1~C3が保持する受信装置200のそれぞれに対してのみ、クロストラヒックが送信される。
次に、本発明の第3実施形態に係るスループット推定装置について図27を参照しながら説明する。
第3実施形態に係るスループット推定装置500は、
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得する無線リンク品質情報取得部(無線リンク品質情報取得手段)501と、
上記移動局と上記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、上記取得された無線リンク品質情報に基づいて推定するスループット推定部(スループット推定手段)502と、
を備える。
上記実施形態の一部又は全部は、以下の付記のように記載され得るが、以下には限られない。
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得する無線リンク品質情報取得手段と、
前記移動局と前記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、前記取得された無線リンク品質情報に基づいて推定するスループット推定手段と、
を備えるスループット推定装置。
付記1に記載のスループット推定装置であって、
前記スループット推定手段は、前記スループットと前記無線リンク品質情報との関係を表す数理モデルと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定するように構成されたスループット推定装置。
付記2に記載のスループット推定装置であって、
前記数理モデルは、前記無線リンク品質情報を変数とした多項式関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定装置。
付記3に記載のスループット推定装置であって、
前記数理モデルは、前記無線リンク品質情報を変数とした一次関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定装置。
付記2に記載のスループット推定装置であって、
前記送信装置が前記移動局へ単位時間あたりに送信する前記データの量である送信レートを取得する送信レート取得手段を備え、
前記スループット推定手段は、前記スループットと前記無線リンク品質情報と前記送信レートとの関係を表す前記数理モデルと、前記取得された送信レートと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定するように構成されたスループット推定装置。
付記5に記載のスループット推定装置であって、
前記数理モデルは、前記送信レート、及び、前記無線リンク品質情報のそれぞれを変数とした関数を非斉次項とする、前記スループットに関する常微分方程式により表されるスループット推定装置。
付記6に記載のスループット推定装置であって、
前記非斉次項は、前記無線リンク品質情報を変数とした多項式関数と、前記送信レートと、の積であるスループット推定装置。
付記7に記載のスループット推定装置であって、
前記非斉次項は、前記無線リンク品質情報を変数とした一次関数と、前記送信レートと、の積であるスループット推定装置。
付記5乃至付記8のいずれかに記載のスループット推定装置であって、
前記数理モデルは、前記スループットと前記無線リンク品質情報と前記送信レートとの関係を力学モデルによって表すことにより構築されたスループット推定装置。
付記9に記載のスループット推定装置であって、
前記力学モデルは、
予め設定された移動方向にて移動可能な移動体と、
前記移動体が前記移動方向にて移動した移動量だけ当該移動方向にて変形する弾性体、及び、当該移動体の当該移動方向における移動を遅延させる粘性体の少なくとも一方と、
を含むスループット推定装置。
付記10に記載のスループット推定装置であって、
前記数理モデルは、前記移動方向にて前記移動体に加えられる外力が、前記送信レート及び前記無線リンク品質情報に応じた大きさを有すると想定し、且つ、予め設定された基準位置と、前記移動体の位置と、の間の前記移動方向における距離が前記スループットであると想定することにより構築されたスループット推定装置。
付記11に記載のスループット推定装置であって、
前記数理モデルは、前記非斉次項が前記外力を表すように構築されたスループット推定装置。
付記10乃至付記12のいずれかに記載のスループット推定装置であって、
前記数理モデルは、前記弾性体が発生する弾性力が、当該弾性力が0となる前記移動体の位置である無力位置からの当該移動体の移動量に、比例係数である弾性係数を乗じた値を大きさとして有し、且つ、当該移動体が当該無力位置から移動した方向と逆方向へ働くと想定することによって構築されたスループット推定装置。
付記10乃至付記13のいずれかに記載のスループット推定装置であって、
前記数理モデルは、前記粘性体が発生する抵抗力が、前記移動体が前記移動方向にて移動する速度に、比例係数である粘性係数を乗じた値を大きさとして有し、且つ、当該移動体が移動する方向と逆方向へ働くと想定することによって構築されたスループット推定装置。
付記1乃至付記14のいずれかに記載のスループット推定装置であって、
前記スループットを取得するスループット取得手段と、
前記数理モデルを特定するためのモデルパラメータを、前記取得されたスループットと、前記取得された無線リンク品質情報と、に基づいて推定するモデルパラメータ推定手段と、
を備えるスループット推定装置。
付記1乃至付記15のいずれかに記載のスループット推定装置であって、
前記無線リンク品質情報は、チャネル品質インジケータ(CQI:Channel Quality Indicator)に基づく値であるスループット推定装置。
付記16に記載のスループット推定装置であって、
前記無線リンク品質情報は、チャネル品質インジケータを平滑化処理した値であるスループット推定装置。
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得し、
前記移動局と前記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、前記取得された無線リンク品質情報に基づいて推定する、スループット推定方法。
付記18に記載のスループット推定方法であって、
前記スループットと前記無線リンク品質情報との関係を表す数理モデルと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、スループット推定方法。
付記19に記載のスループット推定方法であって、
前記数理モデルは、前記無線リンク品質情報を変数とした多項式関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定方法。
付記19に記載のスループット推定方法であって、
前記送信装置が前記移動局へ単位時間あたりに送信する前記データの量である送信レートを取得し、
前記スループットと前記無線リンク品質情報と前記送信レートとの関係を表す前記数理モデルと、前記取得された送信レートと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、スループット推定方法。
情報処理装置に、
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得し、
前記移動局と前記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、前記取得された無線リンク品質情報に基づいて推定する、処理を実行させるためのスループット推定プログラム。
付記22に記載のスループット推定プログラムであって、
前記情報処理装置に、
前記スループットと前記無線リンク品質情報との関係を表す数理モデルと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、処理を実行させるように構成されたスループット推定プログラム。
付記23に記載のスループット推定プログラムであって、
前記数理モデルは、前記無線リンク品質情報を変数とした多項式関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定プログラム。
付記23に記載のスループット推定プログラムであって、
前記情報処理装置に、
前記送信装置が前記移動局へ単位時間あたりに送信する前記データの量である送信レートを取得し、
前記スループットと前記無線リンク品質情報と前記送信レートとの関係を表す前記数理モデルと、前記取得された送信レートと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、処理を実行させるように構成されたスループット推定プログラム。
100 送信装置(スループット推定装置)
101 データ送信部
102 送信レート取得部
103 受信レート取得部
104 無線リンク品質情報取得部
105 モデルパラメータ推定部
106 スループット推定部
200 受信装置(移動局)
201 データ受信部
202 受信情報送信部
203 無線リンク品質値取得部
204 無線リンク品質値送信部
500 スループット推定装置
501 無線リンク品質情報取得部
502 スループット推定部
BS 基地局
M1 移動体
M2,M4 バネ
M3,M5 ダッシュポット
W1 第1の壁面
W2 第2の壁面
Claims (25)
- 移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得する無線リンク品質情報取得手段と、
前記移動局と前記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、前記取得された無線リンク品質情報に基づいて推定するスループット推定手段と、
を備えるスループット推定装置。 - 請求項1に記載のスループット推定装置であって、
前記スループット推定手段は、前記スループットと前記無線リンク品質情報との関係を表す数理モデルと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定するように構成されたスループット推定装置。 - 請求項2に記載のスループット推定装置であって、
前記数理モデルは、前記無線リンク品質情報を変数とした多項式関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定装置。 - 請求項3に記載のスループット推定装置であって、
前記数理モデルは、前記無線リンク品質情報を変数とした一次関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定装置。 - 請求項2に記載のスループット推定装置であって、
前記送信装置が前記移動局へ単位時間あたりに送信する前記データの量である送信レートを取得する送信レート取得手段を備え、
前記スループット推定手段は、前記スループットと前記無線リンク品質情報と前記送信レートとの関係を表す前記数理モデルと、前記取得された送信レートと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定するように構成されたスループット推定装置。 - 請求項5に記載のスループット推定装置であって、
前記数理モデルは、前記送信レート、及び、前記無線リンク品質情報のそれぞれを変数とした関数を非斉次項とする、前記スループットに関する常微分方程式により表されるスループット推定装置。 - 請求項6に記載のスループット推定装置であって、
前記非斉次項は、前記無線リンク品質情報を変数とした多項式関数と、前記送信レートと、の積であるスループット推定装置。 - 請求項7に記載のスループット推定装置であって、
前記非斉次項は、前記無線リンク品質情報を変数とした一次関数と、前記送信レートと、の積であるスループット推定装置。 - 請求項5乃至請求項8のいずれかに記載のスループット推定装置であって、
前記数理モデルは、前記スループットと前記無線リンク品質情報と前記送信レートとの関係を力学モデルによって表すことにより構築されたスループット推定装置。 - 請求項9に記載のスループット推定装置であって、
前記力学モデルは、
予め設定された移動方向にて移動可能な移動体と、
前記移動体が前記移動方向にて移動した移動量だけ当該移動方向にて変形する弾性体、及び、当該移動体の当該移動方向における移動を遅延させる粘性体の少なくとも一方と、
を含むスループット推定装置。 - 請求項10に記載のスループット推定装置であって、
前記数理モデルは、前記移動方向にて前記移動体に加えられる外力が、前記送信レート及び前記無線リンク品質情報に応じた大きさを有すると想定し、且つ、予め設定された基準位置と、前記移動体の位置と、の間の前記移動方向における距離が前記スループットであると想定することにより構築されたスループット推定装置。 - 請求項11に記載のスループット推定装置であって、
前記数理モデルは、前記非斉次項が前記外力を表すように構築されたスループット推定装置。 - 請求項10乃至請求項12のいずれかに記載のスループット推定装置であって、
前記数理モデルは、前記弾性体が発生する弾性力が、当該弾性力が0となる前記移動体の位置である無力位置からの当該移動体の移動量に、比例係数である弾性係数を乗じた値を大きさとして有し、且つ、当該移動体が当該無力位置から移動した方向と逆方向へ働くと想定することによって構築されたスループット推定装置。 - 請求項10乃至請求項13のいずれかに記載のスループット推定装置であって、
前記数理モデルは、前記粘性体が発生する抵抗力が、前記移動体が前記移動方向にて移動する速度に、比例係数である粘性係数を乗じた値を大きさとして有し、且つ、当該移動体が移動する方向と逆方向へ働くと想定することによって構築されたスループット推定装置。 - 請求項1乃至請求項14のいずれかに記載のスループット推定装置であって、
前記スループットを取得するスループット取得手段と、
前記数理モデルを特定するためのモデルパラメータを、前記取得されたスループットと、前記取得された無線リンク品質情報と、に基づいて推定するモデルパラメータ推定手段と、
を備えるスループット推定装置。 - 請求項1乃至請求項15のいずれかに記載のスループット推定装置であって、
前記無線リンク品質情報は、チャネル品質インジケータ(CQI:Channel Quality Indicator)に基づく値であるスループット推定装置。 - 請求項16に記載のスループット推定装置であって、
前記無線リンク品質情報は、チャネル品質インジケータを平滑化処理した値であるスループット推定装置。 - 移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得し、
前記移動局と前記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、前記取得された無線リンク品質情報に基づいて推定する、スループット推定方法。 - 請求項18に記載のスループット推定方法であって、
前記スループットと前記無線リンク品質情報との関係を表す数理モデルと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、スループット推定方法。 - 請求項19に記載のスループット推定方法であって、
前記数理モデルは、前記無線リンク品質情報を変数とした多項式関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定方法。 - 請求項19に記載のスループット推定方法であって、
前記送信装置が前記移動局へ単位時間あたりに送信する前記データの量である送信レートを取得し、
前記スループットと前記無線リンク品質情報と前記送信レートとの関係を表す前記数理モデルと、前記取得された送信レートと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、スループット推定方法。 - 情報処理装置に、
移動体通信網において移動局と基地局との間で確立されている無線リンクの品質を表す無線リンク品質情報を取得し、
前記移動局と前記無線リンクを介して通信可能に接続された送信装置により送信されたデータを、当該移動局が単位時間あたりに受信する量であるスループットを、前記取得された無線リンク品質情報に基づいて推定する、処理を実行させるためのスループット推定プログラム。 - 請求項22に記載のスループット推定プログラムであって、
前記情報処理装置に、
前記スループットと前記無線リンク品質情報との関係を表す数理モデルと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、処理を実行させるように構成されたスループット推定プログラム。 - 請求項23に記載のスループット推定プログラムであって、
前記数理モデルは、前記無線リンク品質情報を変数とした多項式関数と、前記スループットと、が等しいと想定することによって構築されたスループット推定プログラム。 - 請求項23に記載のスループット推定プログラムであって、
前記情報処理装置に、
前記送信装置が前記移動局へ単位時間あたりに送信する前記データの量である送信レートを取得し、
前記スループットと前記無線リンク品質情報と前記送信レートとの関係を表す前記数理モデルと、前記取得された送信レートと、前記取得された無線リンク品質情報と、に基づいて前記スループットを推定する、処理を実行させるように構成されたスループット推定プログラム。
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