CN113645001B - SRS period configuration method for time-varying channel under high-speed mobile scene - Google Patents
SRS period configuration method for time-varying channel under high-speed mobile scene Download PDFInfo
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Abstract
The invention discloses a SRS period configuration method for a time-varying channel under a high-speed mobile scene, which comprises the following steps: acquiring instantaneous channel information H from each base station to a terminal in a cooperation range and the moving speed v of the terminal, and constructing a channel state information time-varying model; based on the time-varying model, a beam forming algorithm design based on determinacy equivalence is introduced to obtain a transmission weight design and capacity performance within a period of time after the instantaneous channel information is obtained; determining an optimal SRS period according to the change of the capacity performance along with time, and uniformly configuring terminals in a cooperation range; and the terminal carries out SRS transmission according to the determined SRS period. By adopting the invention, the smaller capacity performance loss in the SRS period can be ensured, thereby maintaining the stability of the system performance.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a method for configuring a time-varying channel SRS period in a high-speed mobile scene and node equipment.
Background
With the development of mobile communication and the coming of the internet era, the mobile broadband technology can meet the requirement of accessing the internet of users anytime and anywhere. The endless emergence of internet applications brings about an explosively increasing data volume while greatly meeting the needs of people in daily life. This puts higher QoS requirements on the development of mobile communication technology. Mimo (Multiple Input Multiple output) is a technique that can greatly improve system capacity without increasing spectrum resources and antenna transmission power by adding Multiple transmitting antennas and Multiple receiving antennas, and further can perform interference management through weight design.
An important extension of MIMO technology in cellular networks is called multi-cell MIMO, that is, a Coordinated Multiple Point transmission (Coordinated Multiple Point transmission) technology, and a key method for improving network throughput and coverage performance by reducing Inter-cell Interference (Inter-cell Interference) mainly aims at distributing users in cell edge areas and improving problems of data rate reduction and the like caused by adjacent cell Interference and joint Channel Interference (Co-Channel Interference) caused by frequency reuse. Under the 3GPP specification, Coordinated multipoint Transmission technologies in downlink can be divided into two categories, Joint Transmission technology (Joint Transmission) and Coordinated Beamforming technology (Coordinated Scheduling/Beamforming). The first category of techniques has the structure that both user data and channel state information are shared between transmission points. Although the gain of this technique is extremely large, it requires a fairly high bandwidth and latency on the backhaul link. The industry has therefore generally chosen a second category of technology, cooperative beamforming, that requires less and less complex backhaul links. In cooperative beamforming techniques, user data is only from a single transmission point, while channel state information is shared among multiple transmission points.
In the existing communication system, user equipment periodically transmits an SRS signal to measure parameters such as channel quality of an uplink channel, and a base station measures the SRS signal transmitted by the user equipment and designs a weight by using measured channel state information. Within the SRS period, the channel has time-varying characteristics, especially in high-speed mobile scenarios. As the SRS period is lengthened, the correlation between the measured channel state information and the actual channel state information becomes smaller, and a weight design that is more matched with the real-time channel state information needs to be performed to achieve interference cancellation, so that the accumulated interference of the user is reduced, and further, the SRS period configuration is performed according to the capacity performance, so that the capacity loss in the whole SRS period is smaller.
Disclosure of Invention
The invention provides an SRS period configuration method for a time-varying channel under a high-speed mobile scene, which can be applied to node equipment, performs weight design based on time-varying channel modeling in a system, and provides optimal SRS period configuration, so that the capacity loss in the whole SRS period is small.
The invention provides the following technical scheme, which comprises the following steps:
a SRS period configuration method aiming at a time-varying channel under a high-speed mobile scene comprises
Acquiring instantaneous channel information measured by a base station after an SRS signal is sent by a terminal and the moving rate of the terminal, and constructing an SRS periodic internal channel state information model; based on the model, a wave beam forming algorithm design method is introduced to obtain the transmission weight design and the capacity performance within a period of time after the instantaneous channel information is obtained; determining an optimal SRS period according to the change condition of the capacity performance along with time, and uniformly configuring terminals in a system; and the terminal carries out SRS transmission according to the determined SRS period.
In implementation, after the terminal accesses the base station, the terminal transmits the SRS signal according to the current SRS period configuration of the base station in the system.
In an implementation, the SRS periodic internal channel state information model includes:
wherein HkIs instantaneous channel state information, alpha, measured by the base station receiving terminal SRS signalskIs the obtained terminal moving speed vkζ (t) is the statistical channel model for the terminal, which is the time-domain autocorrelation coefficient of the parameter.
In implementation, the method for constructing the statistical channel model of the terminal includes:
and measuring the instantaneous channel between the base station and the terminal for multiple times by the SRS signal transmission of the terminal, acquiring the space characteristic parameters of the channel, and establishing a statistical channel model of the channel.
In implementation, the beamforming algorithm is designed as transmission precoding in an SRS period to perform signal transmission on a terminal, and the initial time of each SRS period updates the transmission precoding in the period.
In the implementation, a system capacity set within a certain time after the SRS signal transmission is obtained, and the time when the capacity loss is higher than a preset value is determined as the optimal SRS period configuration.
In the implementation, the system capacity at the moment of the SRS period is obtained, and if the capacity is lower than a preset value, the terminal mobility rate is obtained again, and the SRS period is updated.
A node device for configuring SRS period based on time-varying channel modeling, comprising:
the acquisition module is used for acquiring instantaneous channel information measured by a base station after the terminal sends the SRS signal and the moving speed of the terminal;
the processing module is used for constructing an SRS period internal channel state information model, introducing a beam forming algorithm design, and calculating a base station side transmission weight to obtain real-time capacity;
and the SRS period configuration module is used for configuring the SRS periods of users in the system according to the capacity change.
Advantageous effects
In the technical scheme provided by the invention, the channel model is established to introduce the time-varying property of the channel brought by the user movement, so that the time-varying property can be used for carrying out real-time weight design, and the optimal configuration of the SRS period is given due to the change trend of the capacity along with the time.
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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 diagram of the channel time correlation caused by the movement of the user according to the present invention;
FIG. 2 is a flow chart of a method implementation of the present invention;
FIG. 3 is a graph of system capacity performance versus time using the method of the present invention;
FIG. 4 is a structural diagram of a node device configured with SRS period in the present invention;
Detailed Description
The inventor notices in the process of invention that: the system can be used for serving users by cooperation of multiple base stations, as shown in fig. 1, and can also be used for serving users by a single base station, the application scenes are not limited by the method, and the SRS period configuration method provided by the invention has universality for different scenes.
As shown in fig. 1, the user continues to move after sending the SRS signal, and the channel between the user and the base station has time-varying property, that is, the channel has time-varying property between the channel when the base station sends the signal to the user and the channel measured by the base station according to the SRS signal. In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings.
As shown in fig. 2, a flowchart of an SRS period configuration method provided in an embodiment of the present invention is schematically shown, and the method is applied to a node device.
Step 200: and acquiring instantaneous channel information measured by the base station after the terminal sends the SRS signal and the moving rate of the terminal, and constructing an SRS period internal channel state information model.
It should be noted that, after the terminal sends the SRS signal, the instantaneous channel information measured by the base station will be used as the initial state of the markov transition chain, the terminal mobility rate will be used as a time-varying parameter, and the following SRS periodic internal channel state information model is established,
wherein HkIs instantaneous channel state information, alpha, measured by the base station receiving terminal SRS signalskIs the obtained terminal moving speed vkFor time-domain autocorrelation coefficients of parameters, modelled by the Jakes channel model, i.e. alphak＝J0(2πfc)，J0Is a zero order Bessel function, fcIs Doppler frequency shift, i.e.
Where v is the user rate, fdThe carrier frequency, c is the speed of light. ζ (t) represents a smooth random process that can be modeled by statistical channel spatial features to account for the channel model for the terminal.
Step 201: based on the SRS period internal channel state information time-varying model, a beam forming algorithm design method is introduced to obtain the transmission weight design and the capacity performance within a period of time after the instantaneous channel information is obtained.
It should be noted that, introducing the SRS periodic internal channel state information time-varying model, that is, introducing a random matrix into the channel model, brings difficulty to weight design, and when the embodiment of the present invention uses system capacity performance as an objective function, optimization is performed through weight design, that is, randomness of the objective function needs to be eliminated through statistical averaging.
Taking the network throughput as an objective function, the form is:
where the first term is the same for all users and the second term characterizes the interference associated with a particular user.
It should be noted that, in the embodiment of the present invention, an operator value free probability based deterministic equivalence method is applied, the free deterministic equivalence of a channel matrix is first established, the concept of the free probability theory is used to derive the free deterministic equivalence of cauchy transformation, the free deterministic equivalence of shannon transformation is derived through a series of formula transformations, and finally the analytic form of the objective function is derived. And (5) solving to obtain an analytical expression of the objective function, and then further carrying out optimization algorithm design. The embodiment of the invention introduces a method for solving local optimal points, which can convert the solution of a complex optimization problem into iterative solution of a simplified problem, obtains an expected asymptotic equivalent form of a required random matrix by using the deterministic equivalence method, and then deduces a robust linear precoding design algorithm based on deterministic equivalence according to the deterministic equivalence form.
It should be noted that, according to the robust linear precoding design method based on deterministic equivalence, the base station transmit weight design iteration algorithm is as follows:
the method comprises the following steps: let d equal to 0, randomly generate a set of Vjt，t＝1,2,…,K，j＝1,2,…,ItSo that
Step two: computing
Step three: calculating out
Step four: computing
Step five: updating
Wherein,
(
representing user ikThe rate of (2) is the weight of the throughput of the whole network
And repeating the second step to the fourth step until the network throughput is converged.
And (3) symbolic annotation:
the calculation steps of the above two formulas are firstly initialized
And
is an identity matrix, and then iterative computation is carried out according to the two formulas until the required precision is reached.
Step 202: and determining an optimal SRS period according to the change condition of the capacity performance along with time, uniformly configuring terminals in the system, and performing SRS transmission by the terminals according to the determined SRS period.
As shown in fig. 3, a performance diagram of the system capacity changing with time is obtained by using the beamforming design scheme under the configuration of different user mobility rates, and it can be seen in the diagram that after a certain time, the capacity will be greatly reduced, because the time correlation between the channel and the channel state information measured by the base station after the original terminal sends the SRS signal is greatly reduced, the transmission weight design based on time-varying channel modeling will not be matched with the real-time channel, the user accumulated interference will be aggravated, and the beamforming gain will be reduced. And in the period of great capacity reduction, the system capacity is in a stable state, and although the performance is reduced along with the reduction of time correlation, the reduction range is gentle, so that the middle value between the gentle reduction and the great reduction can be set as an SRS period, and a better system performance is obtained.
Based on the same inventive concept, the embodiment of the present invention further provides a node device and a computer-readable storage medium, and because the principle of solving the problem of these devices is similar to the method for sending the calibration sequence, the implementation of these devices may refer to the implementation of the method, and repeated details are not repeated.
Fig. 4 is a structural diagram of a node device configured in an SRS period in an embodiment of the present invention, as shown in the figure, the structural diagram may include:
an obtaining module 401, configured to obtain instantaneous channel information measured by a base station after the terminal sends an SRS signal and a mobility rate of the terminal;
a processing module 402, which constructs an SRS period internal channel state information model, introduces a beam forming algorithm design, calculates a base station side transmission weight, and obtains a real-time capacity;
the SRS period configuring module 403 configures SRS periods of users in the system according to the capacity change.
It should be noted that the node device in the embodiment of the present invention can implement the steps in the method embodiment applied to the node device, and can achieve the same technical effect.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements each process of the foregoing service cluster selection method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
For convenience of description, each part of the above-described apparatus is separately described as being functionally divided into various modules or units. Of course, the functionality of the various modules or units may be implemented in the same one or more pieces of software or hardware in practicing the invention.
In various embodiments of the present invention, it should be understood that the sequence numbers of the above-mentioned processes do not imply an order of execution, and the order of execution of the processes should be determined by their functions and inherent logic, and should not limit the implementation process of the embodiments of the present invention in any way.
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, 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.
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 (8)
1. A SRS period configuration method aiming at a time-varying channel under a high-speed moving scene is applied to node equipment, and is characterized by comprising the following steps:
the method comprises the steps of obtaining instantaneous channel information obtained by base station measurement after a terminal sends an SRS signal and the moving rate of the terminal, and constructing an SRS period internal channel state information model as follows
Wherein HkIs instantaneous channel state information, alpha, measured by the base station receiving terminal SRS signalskIs the obtained terminal moving speed vkZeta (t) is the statistic channel model of the terminal as the time domain autocorrelation coefficient of the parameter;
based on the model, a wave beam forming algorithm design method is introduced to obtain the transmission weight design and the capacity performance within a period of time after the instantaneous channel information is obtained;
determining an optimal SRS period according to the change condition of the capacity performance along with time, and uniformly configuring terminals in a system;
and the terminal performs SRS transmission according to the determined SRS period.
2. The method of claim 1, wherein the terminal transmits the SRS signal in a current SRS period configuration of the base station in the system after accessing the base station.
3. The method of claim 1, wherein the method for constructing the statistical channel model of the terminal comprises:
and measuring the instantaneous channel between the base station and the terminal for multiple times by the SRS signal transmission of the terminal, acquiring the space characteristic parameters of the channel, and establishing a statistical channel model of the channel.
4. The method of claim 1, wherein the beamforming algorithm is designed to transmit precoding in an SRS period to perform signal transmission on a terminal, and an initial time of each SRS period updates the transmission precoding in the SRS period.
5. The method of claim 1, wherein a system capacity set within a certain time after the SRS signal is transmitted is obtained, and a time when the capacity loss is higher than a preset value is determined as an optimal SRS period configuration within the cooperation range.
6. The method of claim 1, wherein the system capacity at the SRS period is obtained, and if the system capacity is lower than a preset value, the terminal mobility rate is obtained again, and the SRS period is updated.
7. A node device for configuring SRS period based on time-varying channel modeling, comprising:
the acquisition module is used for acquiring instantaneous channel information between a base station and a terminal in a cooperation range and the moving rate of the terminal;
a processing module for constructing an SRS period internal channel state information model
Wherein HkIs instantaneous channel state information, alpha, measured by the base station receiving the terminal SRS signalkIs the obtained terminal moving speed vkZeta (t) is a channel model counted by the terminal for the time domain autocorrelation coefficient of the parameter, a beam forming algorithm design is introduced after the model is established, and a sending weight of a base station side is calculated to obtain real-time capacity;
and the SRS period configuration module is used for configuring the SRS period of the user in the system according to the capacity change.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 6.
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