CN110471286B - Link self-adaptive adjusting system, method, device and base station - Google Patents
Link self-adaptive adjusting system, method, device and base station Download PDFInfo
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Abstract
The application relates to a link self-adaptive adjustment system, a method, a device and a base station. In the link self-adaptive adjustment system, an AMC feedback controller processes CSI information by adopting a closed-loop control algorithm according to a control target to obtain a feedback control output result, and transmits the feedback control output result to an execution device; the AMC feedforward controller processes the interference information by adopting a feedforward compensation algorithm to obtain a feedforward control output result and transmits the feedforward control output result to the execution device; the execution device transmits the wireless channel to the terminal through the antenna port based on the feedback control output result and the feedforward control output result, the determined link adaptive parameter and the resource allocation scheme. The method and the device realize AMC self-adaptive control based on feedforward-feedback, reduce the self-adaptive adjustment time of the link, and meet the requirements of users on the transmission rate and the transmission stability under different channel conditions.
Description
Technical Field
The present application relates to the field of wireless communication technologies, and in particular, to a link adaptive adjustment system, method, apparatus, and base station.
Background
As the demand for wireless network performance and data rate increases, the next generation mobile communication systems need smaller time delay, larger system capacity, higher data rate and lower cost. However, in a wireless environment, factors such as relative motion between a terminal (UE), a reflector and a scatterer or only slight change of a transmission medium may have a large influence on a wireless channel, and due to time-varying characteristics and fading characteristics of the wireless channel, quality of a signal received by the terminal also varies with the variation of the wireless channel condition, how to effectively utilize the variability of the wireless channel, how to maximally improve a data transmission rate over a limited bandwidth, and thus, how to maximally improve a bandwidth utilization efficiency gradually becomes a research hotspot of mobile communication. The link adaptation technology is one of the key technologies of the current and future mobile communication systems due to its strong advantages in improving data transmission rate and frequency utilization.
The link adaptive technique refers to a behavior of a Base Station (BS) that adaptively adjusts a transmission parameter of the BS according to currently acquired channel information, so as to overcome or adapt to an influence caused by a current channel change. The link self-adaptive technology principle is that under the condition of comprehensively considering wireless channel conditions, receiving end UE characteristics and other factors, a base station BS dynamically adjusts modulation, a coding format (transmission format) and transmitting power, and ensures that the error rate (BLER) does not exceed 10%. The introduction of the link adaptation technology enables users close to the cell base station BS to allocate higher code rate, higher order modulation. For users near the cell border, lower order modulation with lower code rate is assigned, i.e., link adaptation techniques allow different users to be assigned different data rates according to the channel conditions.
As can be seen from the basic principle of the link adaptation technology, the link adaptation technology mainly includes two aspects: on one hand, the acquisition of channel information, the accurate and effective acquisition of current channel environment parameters, and the adoption of what channel indication parameters can more effectively and accurately reflect the channel conditions; on the other hand, the adjustment of transmission parameters includes adjustment of parameters such as a debugging mode, a coding mode, redundant information, transmission power, time-frequency resources and the like.
Generally, the link adaptation technology mainly includes the following technologies: (1) adaptive Modulation and Coding (AMC). And adjusting the modulation mode and the coding rate of the BS transmission according to the wireless channel change, improving the modulation level and the coding rate when the channel condition is good, and reducing the modulation level and the channel coding rate when the channel condition is poor. (2) The power control technology adjusts the transmitting power of the base station BS according to the change of a wireless channel, reduces the transmitting power when the channel condition is good, and improves the transmitting power when the channel condition is poor. (3) Hybrid Automatic Repeat reQuest (HARQ) adjusts redundant information of data transmission, thereby obtaining retransmission/combining gain at a terminal UE, and implementing small dynamic range, accurate, and fast adaptation to a channel; (4) and the channel selective scheduling technology selects the time frequency resource with better channel condition for data transmission according to the wireless channel measurement result.
AMC and hybrid automatic repeat request (HARQ) technology are combined to achieve a better link self-adaption effect, and the AMC and the HARQ technology are widely applied to HSDPA (High Speed Downlink Packet Access); however, in the implementation process, the inventor finds that at least the following problems exist in the conventional technology: most of the traditional methods adopt a feedback control mode to perform link adaptive control, however, the feedback control-based AMC has an inertial hysteresis characteristic, and the hysteresis of the process will certainly affect the link adaptive adjustment effect.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a link adaptive adjustment system, method, apparatus and base station capable of quickly implementing link adaptive control.
In order to achieve the above object, in one aspect, an embodiment of the present invention provides a link adaptive adjustment system, including a CSI channel detection apparatus, an AMC feedback controller, a CSI interference measurement apparatus, an AMC feedforward controller, and an execution apparatus; wherein:
a CSI channel detection device acquires CSI information reported by a terminal and transmits the CSI information to an AMC feedback controller;
the AMC feedback controller processes the CSI information by adopting a closed-loop control algorithm according to a control target to obtain a feedback control output result and transmits the feedback control output result to the execution device;
The CSI interference measurement device acquires interference information reported by a terminal and transmits the interference information to an AMC feedforward controller;
the AMC feedforward controller processes the interference information by adopting a feedforward compensation algorithm to obtain a feedforward control output result and transmits the feedforward control output result to the execution device;
the execution device transmits the wireless channel to the terminal through the antenna port based on the feedback control output result and the feedforward control output result, the determined link adaptive parameter and the resource allocation scheme.
In one embodiment, the AMC feedforward controller is a PI controller or a P-type controller; the interference information includes an amount of interference; the feedforward control output result comprises a compensation quantity;
the AMC feedforward controller respectively acquires an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model through abstraction;
the AMC feedforward controller takes the disturbance quantity as an input quantity, and adopts a closed-loop transfer function to process an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model to obtain an output quantity.
In one embodiment, the AMC feedforward controller takes the disturbance amount as an input amount, and obtains an output amount by adopting the following closed-loop transfer function:
If D(s) is 0, then:
wherein Y(s) is output quantity, D(s) is disturbance quantity, H(s) is CSI channel detection device model, G a (s) is an executive device model, G(s) is a radio channel model, G f (s) is a feedforward controller model, G c (s) is a feedback controller model, G d (s) is an interference channel model, G f Is a feedforward controller transfer function.
In one embodiment, the control target includes BLER and downlink transmission rate; the AMC feedback controller is a PI controller or a P-type controller;
the AMC feedback controller respectively acquires a wireless channel model, a CSI channel detection device model, a feedback controller model and an execution device model through abstraction;
and the AMC feedback controller takes a control target as an input quantity, and adopts a closed-loop transfer function to process the wireless channel model, the CSI channel detection device model, the feedback controller model and the execution device model to obtain an output quantity.
In one embodiment, the AMC feedback controller obtains the output quantity according to the control target by using the following closed-loop transfer function:
wherein Y(s) is output quantity, X(s) is input quantity, H(s) is CSI channel detection device model, G a (s) is an executive device model, G(s) is a radio channel model, G c (s) is a feedback controller model.
In one embodiment, the CSI information comprises CQI information; the feedback control output result comprises an MCS value and a coding format;
the AMC feedback controller adopts a corresponding algorithm to map and look up a table based on the CQI information to obtain the current spectrum utilization efficiency;
the AMC feedback controller carries out integral processing on the previous frequency spectrum utilization efficiency and the current frequency spectrum utilization efficiency to obtain the final frequency spectrum utilization efficiency;
and the AMC feedback controller maps the final spectrum utilization efficiency to obtain an MCS value and a coding format.
On the other hand, the embodiment of the invention also provides a link self-adaptive adjusting method, which comprises the following steps:
receiving a feedback control output result transmitted by an AMC feedback controller; the feedback control output result is obtained by processing CSI information through an AMC feedback controller according to a control target by adopting a closed-loop control algorithm; CSI information reported by a terminal is transmitted to an AMC feedback controller through a CSI channel detection device;
receiving a feedforward control output result transmitted by an AMC feedforward controller; the feedforward control output result is obtained by processing interference information through an AMC feedforward controller by adopting a feedforward compensation algorithm; interference information reported by a terminal is transmitted to an AMC feedforward controller through a CSI interference measurement device;
And transmitting the wireless channel to the terminal through the antenna port based on the feedback control output result, the feedforward control output result, the determined link adaptive parameter and the resource allocation scheme.
A link adaptive adjustment apparatus, comprising:
a feedback receiving module for receiving the feedback control output result transmitted by the AMC feedback controller; the feedback control output result is obtained by processing CSI information through an AMC feedback controller according to a control target by adopting a closed-loop control algorithm; CSI information reported by a terminal is transmitted to an AMC feedback controller through a CSI channel detection device;
the feedforward receiving module is used for receiving a feedforward control output result transmitted by the AMC feedforward controller; the feedforward control output result is obtained by processing interference information through an AMC feedforward controller by adopting a feedforward compensation algorithm; interference information reported by a terminal is transmitted to an AMC feedforward controller through a CSI interference measurement device;
and the physical layer transmission module is used for transmitting the wireless channel to the terminal through the antenna port based on the feedback control output result and the feedforward control output result, the determined link adaptive parameter and the resource allocation scheme.
A base station comprises any one of the chain adaptive adjustment systems.
In one embodiment, the base station is applied to a 5G NR system.
In one embodiment, the base station is configured to configure a CSI-RS parameter, a CSI-IM parameter, and a CSI parameter;
the base station issues the CSI-RS parameters and the CSI-IM parameters to the terminal; the CSI-RS parameter is used for indicating the terminal to measure the channel quality and reporting the CSI information; and the CSI-IM parameter is used for indicating the terminal to measure the channel interference and reporting interference information.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of any of the above-mentioned link adaptive adjustment methods.
One of the above technical solutions has the following advantages and beneficial effects:
the method combines feedforward control and feedback control, can quickly eliminate channel quality change caused by interference, and improves the stability of the system; specifically, based on the cooperative cooperation of the CSI channel detection device, the AMC feedback controller, the CSI interference measurement device, the AMC feedforward controller, the execution device and the like, the AMC adaptive control based on feedforward-feedback can be realized, the inertial hysteresis characteristic of the AMC technology based on feedback control is further solved, and the problem of out-of-control deviation control based on the AMC technology based on feedforward control is also solved, so that the transmission rate can be quickly and accurately controlled to reach a set value, the constraint condition is met, different rates are allocated to users under different channel quality conditions, the stability and the rapidity of data transmission are ensured, and the user experience is improved. The method and the device can completely eliminate the influence of the interference on the system in theory, and eliminate the influence except the interference through feedback control based on deviation. According to the method and the device, the self-adaptive adjustment time of the link is reduced, so that the requirements of users on the transmission rate and the transmission stability under different channel conditions are met.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is a block diagram of a system architecture for adaptive link adaptation in one embodiment;
FIG. 2 is a control model of the link adaptation control system in one embodiment;
FIG. 3 is a flow chart illustrating a method for adaptive link adjustment from the perspective of an executing apparatus in one embodiment;
FIG. 4 is a block diagram of a link adaptation adjusting apparatus implemented from the perspective of an executing apparatus in one embodiment;
fig. 5 is a block diagram of a scheduling side in the link adaptive adjustment system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
Most of the traditional technologies adopt a feedback control mode to perform link adaptive control, and the method has the disadvantages that when disturbance occurs in a channel, a terminal UE actively or passively feeds back a channel communication quality condition, a base station BS can adjust a modulation mode and a coding mode of transmission, even multiple adjustment conditions occur due to meeting BLER requirements, and the use of a user is influenced by the hysteresis of the process. For example, the conventional technology proposes an adaptive adjustment method based on interference control, but it only emphasizes an open loop compensation control method, and cannot solve the problem of hysteresis.
The method adopts feedforward and feedback control technology to realize AMC dynamic adjustment, effectively combines feedforward and feedback control, and reduces link self-adaptive adjustment time so as to meet the requirements of users on transmission rate and transmission stability under different channel conditions. Furthermore, the time delay of the down link self-Adaptation (AMC) under the condition that the channel quality is constantly changed is reduced, the user experience is improved, and the system performance is improved.
The link adaptive adjustment system provided by the application can be applied to a 5G NR (New Radio, New air interface) system. The 5G NR system introduces CSI (Channel State Information) based on interference measurement, and the present application proposes that Channel quality variation due to interference can be compensated using feedforward control in AMC control. In the 5G NR system, a terminal UE communicates with a base station BS through a wireless air interface, which is also called a wireless link channel or a wireless channel. Further, the terminal may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the base station may be implemented by an independent base station or a base station cluster formed by a plurality of base stations.
In one embodiment, as shown in fig. 1, a link adaptive adjustment system is provided, which includes a CSI channel detection apparatus, an AMC feedback controller, a CSI interference measurement apparatus, an AMC feed-forward controller, and an execution apparatus; wherein:
A CSI channel detection device acquires CSI information reported by a terminal and transmits the CSI information to an AMC feedback controller;
the AMC feedback controller processes the CSI information by adopting a closed-loop control algorithm according to a control target to obtain a feedback control output result and transmits the feedback control output result to the execution device;
the CSI interference measurement device acquires interference information reported by a terminal and transmits the interference information to an AMC feedforward controller;
the AMC feedforward controller processes the interference information by adopting a feedforward compensation algorithm to obtain a feedforward control output result and transmits the feedforward control output result to the execution device;
the execution device transmits the wireless channel to the terminal through the antenna port based on the feedback control output result and the feedforward control output result, the determined link adaptive parameter and the resource allocation scheme.
Specifically, the given value (i.e., input amount) in fig. 1 may refer to a transmission rate requirement, i.e., a control target, under the constraint condition being satisfied. For example, the control target is that when the BLER is less than 10%, the downlink transmission rate reaches 800M requirement. In fig. 1, x represents node aggregation, -negative feedback, and + positive feedback.
In addition, in fig. 1, the CSI channel detection apparatus means that the base station BS transmits CSI-RS and CSI configuration information to the downlink, and the terminal UE measures the quality status of the downlink channel and reports the result to the base station BS through the CSI channel detection apparatus, wherein the most important is CQI information.
The CSI interference measurement device is that a base station BS measures interference measurement related to CSI information through configuration, and a terminal UE measures an interference channel measurement result and feeds the interference channel measurement result back to an AMC feedforward control device.
The radio channel model refers to a radio link channel between the base station BS and the terminal UE, and is also referred to as a radio air interface.
In fig. 1, the performing device may refer to that the physical layer receives the adjustment results of the AMC feedback controller and the AMC feedforward controller in the MAC layer and transmits the adjustment results to the air interface through the antenna port. Further, the over-the-air transmissions are some radio waves. The execution device may send the data of the base station through a series of processes such as scrambling, modulation, layer mapping, precoding, resource mapping, etc. according to the output results (i.e., the feedback control output result and the feedforward control output result) of the AMC feedback controller and the AMC feedforward controller.
The AMC feedback controller may be applied to a base station, so that the base station BS obtains a downlink channel quality status (may be CSI information, in a specific example, a CQI value) reported by the terminal UE through a CSI channel detection apparatus; further, the AMC feedback controller may obtain an output MCS (Modulation and Coding Scheme) value and a Coding format of the AMC feedback controller through a filtering algorithm according to a CQI (Channel Quality Indicator) value reported by the terminal UE.
It should be noted that if there is no interference, the problem of link adaptation can be solved by using only the AMC feedback controller without using the feedforward compensation control. However, in practical applications, the channel quality is always disturbed, if no feedforward is applied, the AMC feedback controller will be continuously adjusted, and the AMC feedback controller adjustment has a time lag. Therefore, the application proposes a control strategy which mainly adopts AMC feedback control and is assisted by AMC feedforward control.
In a specific example, the AMC feedback controller may be applied to a MAC (Media Access Control) layer of the base station, for example, an AMC feedback Control unit is configured and controlled in time sequence by an AMC Control scheduling unit (the AMC Control scheduling unit may be a virtual module from a code implementation perspective).
In a particular embodiment, the CSI information may include CQI information; the feedback control output result may include an MCS value and a coding format;
the AMC feedback controller adopts a corresponding algorithm to map and look up a table based on the CQI information to obtain the current spectrum utilization efficiency;
the AMC feedback controller carries out integral processing on the previous frequency spectrum utilization efficiency and the current frequency spectrum utilization efficiency to obtain the final frequency spectrum utilization efficiency;
And the AMC feedback controller maps the final spectrum utilization efficiency to obtain an MCS value and a coding format.
Specifically, the AMC feedback control unit mainly completes receiving CSI information reported by the terminal UE, mainly CQI information, mapping to an efficiency offset value (spectrum utilization efficiency), calculating a final offset value by using the current and last offset values in an integral manner, and then mapping to MCS Index and a coding manner. Meanwhile, the HARQ information is utilized to calculate whether the BLER meets the requirement.
It should be noted that the feedback controller in the conventional art generally operates according to the deviation between the controlled variable and the given value of the system, the deviation is the basis of the control, and the control system is to achieve the purpose of reducing or eliminating the deviation. However, the control mode is ubiquitous and has hysteresis; in addition, if the feedback control AMC adaptive technology is adopted, the channel quality is constantly changed due to interference, when the time delay field is found between the deviation and the adjustment of the feedback control parameter of the AMC, the actual channel quality is greatly changed when the feedback control parameter is adjusted, but the actual channel quality is often caused by the interference, and thus the AMC adjustment result has obviously lagged phenomenon. The feedback control and the feedforward control are combined, the AMC dynamic adjustment is further realized by combining the feedback control and the feedforward control, and the problem of inertia lag characteristic based on the feedback control AMC technology can be solved.
Furthermore, it should be noted that the CSI channel detection apparatus can obtain a CSI value reported by the terminal, where the CSI value has 4 bits to indicate the CQI, and the CQI may obtain an efficiency value (efficiency value) by looking up a table, and the MCS value and the coding scheme may be found according to the efficiency value. The execution device can know how large a data Block to be transmitted is divided into blocks (i.e. TBS, Transport Block Size) and how many RB resources (Resource Block) are required to transmit such a large amount of TBS data according to the MCS value and the coding scheme, and transmit the data of the base station through a series of procedures such as scrambling, modulation, layer mapping, precoding, Resource mapping, etc. after the division is completed.
In a specific embodiment, the control target may include BLER and downlink transmission rate; the AMC feedback controller is a PI controller or a P-type controller;
the AMC feedback controller respectively acquires a wireless channel model, a CSI channel detection device model, a feedback controller model and an execution device model through abstraction;
and the AMC feedback controller takes a control target as an input quantity, and adopts a closed-loop transfer function to process the wireless channel model, the CSI channel detection device model, the feedback controller model and the execution device model to obtain an output quantity.
Further, in a specific embodiment, the AMC feedback controller obtains the output according to the control target by using the following closed-loop transfer function:
wherein Y(s) is output quantity, X(s) is input quantity, H(s) is CSI channel detection device model, G a (s) is an executive device model, G(s) is a radio channel model, G c And(s) is a feedback controller model.
Specifically, in the system transfer function model shown in fig. 2, y(s) is output quantity, x(s) is input quantity, h(s) is CSI channel detection device model, and G(s) is output quantity a (s) is an executive device model, G(s) is a radio channel model, G c (s) is a feedback controller model (i.e., an AMC feedback controller model). Meanwhile, in fig. 2, x represents node aggregation, -negative feedback, and + positive feedback.
The closed-loop transfer function of the input quantity X(s) to the controlled quantity Y(s) is as follows:
wherein, the controlled quantity y(s), i.e. the output quantity, can be understood as the transmission rate; the models referred to in the present application may be abstract models. And G c The(s) may be a controller to be designed, and may generally be a pi (proportional Integral controller) controller or a direct P-type controller, although other control algorithms may be used.
The AMC feedforward controller is designed to compensate for the channel quality variation caused by channel interference, and can quickly and completely compensate for the interference. That is, if the feedforward control AMC adaptive technique is adopted, it is actually an open loop control process, and when the characteristic of the controlled object changes and a deviation occurs, the feedforward control AMC adaptive technique cannot solve the problem. The feedback control and the feedforward control are combined, and then the AMC dynamic adjustment is realized by combining the feedback control and the feedforward control, so that the problem of out-of-control deviation control based on the feedforward control AMC technology is solved.
In one specific example, the AMC feed-forward controller may be applied to the MAC layer of the base station, for example, an AMC feed-forward control unit is configured and controlled in timing by an AMC control scheduling unit (the AMC control scheduling unit may be a virtual module configured from a code implementation perspective).
The AMC feedforward control unit mainly receives an interference measurement result reported by the terminal UE, and calculates a compensation amount by adopting a static feedforward control technology to completely compensate the interference. Further, the static feedforward control technology in the application is used for compensating disturbance only in a steady state, and is designed according to the steady-state invariance principle. Thereafter, the AMC control scheduling unit may determine parameters and resource allocation schemes of the selected link adaptive AMC according to a feedforward controller (i.e., AMC feedforward control unit) and a feedback controller (i.e., AMC feedback control unit), and notify the link adaptive AMC performing apparatus of the link adaptive AMC parameters and resource allocation schemes. Wherein the performing means may be applied to a physical layer of the base station.
In a specific embodiment, the AMC feedforward controller is a PI controller or a P-type controller; the interference information includes an amount of interference; the feedforward control output result comprises a compensation quantity;
The AMC feedforward controller respectively acquires an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model through abstraction;
the AMC feedforward controller takes the disturbance quantity as an input quantity, and adopts a closed-loop transfer function to process an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model to obtain an output quantity.
Specifically, in one specific example, the interference information is a disturbance amount; the feedforward control outputs a result as a compensation quantity.
Further, in one specific embodiment, the AMC feedforward controller uses the disturbance amount as an input amount and obtains an output amount by using the following closed-loop transfer function:
if D(s) is 0, then:
wherein Y(s) is output quantity, D(s) is disturbance quantity, H(s) is CSI channel detection device model, G a (s) is an executive device model, G(s) is a radio channel model, G f (s) is a feedforward controller model, G c (s) is a feedback controller model, G d (s) is an interference channel model, G f Is a feedforward controller transfer function.
Specifically, in the system transfer function model shown in fig. 2, y(s) is output quantity, d(s) is disturbance quantity, h(s) is CSI channel detection device model, and G(s) is a (s) is an executive device model, G(s) is a radio channel model, G f (s) is a feedforward controller model, G c (s) is a feedback controller model, G d (s) is an interference channel model;
the closed loop transfer function of the disturbance D(s) to the controlled quantity Y(s) is:
to completely eliminate the interference, let D(s) be 0, then
And G f Is a feedforward controller transfer function; namely, the parameters of the feedforward controller can be set according to the interference channel model and the execution device model; meanwhile, the function of the transfer function of the feedforward controller is used for counteracting the change caused by the interference, and the feedforward controller can be understood as auxiliary control. The parameters of the feedforward controller may refer to coefficients of a polynomial, and if a pid (proportion integration differential) algorithm is used, the respective parameters need to be adjusted; further, if a static feedforward control technique is employed, then G f Is a constant.
As described above, in the base station applying the link adaptive adjustment system of the present application, the following procedure may be adopted for adaptive adjustment: in the first step, a BS issues a CSI-RS/CSI-IM reference signal, and a UE measures channel quality and channel interference through the CSI-RS/CSI-IM. And the second step is that the UE reports the CSI and the CSI-IM. Thirdly, repeating the first step and the second step, wherein the BS adjusts the parameters of the feedback and feedforward controller by setting the parameters of the feedback and feedforward controller, namely the BS needs to adjust the parameters of the feedback and feedforward controller by acquiring CSI reporting values at t and t-1 moments; where feedback control is error control, feedforward control can be understood as open loop.
Specifically, taking the application to a 5G NR system as an example, the link adaptive adjustment system of the present application needs to be configured with the following parameters in advance:
(1) configuring CSI-RS (Channel State Information-Reference Signal) parameters of the 5G NR system. The CSI-RS parameter adopts NZP-CSI-RS-Resource (Non-Zero Power Channel State Information-Reference Signal Resource, Non-Zero Power Channel State Information Reference Signal Resource), can be configured into periodic/semi-continuous CSI-RS, can also be configured into Non-periodic CSI-RS, and can be configured into time domain and frequency domain resources of Channel detection Reference signals. The configuration is used for a CSI channel detection unit (i.e., CSI channel detection apparatus) to report a reference signal of CSI.
(2) And configuring CSI-IM (Channel State Information-Interference Measurement) parameters of the 5G NR system. And configuring CSI-IM-Resource and CSI-IM-Resource set information, and configuring time domain and frequency domain resources of an interference measurement reference signal, wherein the time domain and frequency domain resources are used for interference measurement of a CSI interference measurement unit (namely a CSI interference measurement device).
(3) And configuring CSI parameters of the 5G NR system. Configuring CSI parameter CSI reporting quantity, wherein the reporting type can be periodic, non-periodic and semi-continuous, reporting CSI-RS resource Id and associated CSI-IM resource Id related to CSI, CSI reporting codebook type, uplink resource and BWP (Bandwidth part) ID corresponding to CSI reporting, and reporting codebook related information. Reporting the CSI information may include CSI information and interference information.
In the link self-adaptive adjustment system, the feedforward control and the feedback control are combined, so that the channel quality change caused by interference can be quickly eliminated, and the stability of the system is improved; specifically, based on the cooperative cooperation of the CSI channel detection device, the AMC feedback controller, the CSI interference measurement device, the AMC feedforward controller, the execution device and the like, the AMC adaptive control based on feedforward-feedback can be realized, the inertial hysteresis characteristic of the AMC technology based on feedback control is further solved, and the problem of out-of-control deviation control based on the AMC technology based on feedforward control is also solved, so that the transmission rate can be quickly and accurately controlled to reach a set value, the constraint condition is met, different rates are allocated to users under different channel quality conditions, the stability and the rapidity of data transmission are ensured, and the user experience is improved. The method and the device can completely eliminate the influence of the interference on the system in theory, and eliminate the influence except the interference through feedback control based on deviation. According to the method and the device, the self-adaptive adjustment time of the link is reduced, so that the requirements of users on the transmission rate and the transmission stability under different channel conditions are met.
Further, the channel condition changes continuously, and the base station needs to continuously adjust the MCS and the modulation scheme to meet the requirements of the transmission rate and the transmission error rate. By using the method and the device, the MCS and the modulation mode can be quickly adjusted, the product performance can be greatly improved, and the method and the device have wide application prospects.
In one embodiment, as shown in fig. 3, a link adaptive adjustment method is provided, which may include the following steps, taking the method as an example for the execution apparatus in fig. 1:
step S310, receiving the feedback control output result transmitted by the AMC feedback controller; the feedback control output result is obtained by processing CSI information through an AMC feedback controller according to a control target by adopting a closed-loop control algorithm; CSI information reported by a terminal is transmitted to an AMC feedback controller through a CSI channel detection device;
step S320, receiving the feedforward control output result transmitted by the AMC feedforward controller; the feedforward control output result is obtained by processing interference information through an AMC feedforward controller by adopting a feedforward compensation algorithm; interference information reported by a terminal is transmitted to an AMC feedforward controller through a CSI interference measurement device;
and step S330, transmitting the wireless channel to the terminal through the antenna port based on the feedback control output result, the feedforward control output result, the determined link adaptive parameter and the resource allocation scheme.
Specifically, the execution device receives the adjustment results of the MAC layer AMC feedback controller and AMC feedforward controller, and then transmits the adjustment results to the air interface through the antenna port. The work flows of the AMC feedback controller and the AMC feedforward controller can refer to the above descriptions, and are not described herein again.
Further, the executing device may obtain a link adaptive parameter and a resource allocation scheme transmitted by the AMC control scheduling unit; and the AMC control scheduling unit determines the parameters and resource allocation scheme of the selected link adaptive AMC according to the feedforward compensation controller and the feedback controller.
It should be understood that, although the steps in the flowchart of fig. 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a link adaptive adjusting apparatus, including:
A feedback receiving module 410, configured to receive a feedback control output result transmitted by the AMC feedback controller; the feedback control output result is obtained by processing CSI information through an AMC feedback controller according to a control target by adopting a closed-loop control algorithm; CSI information reported by a terminal is transmitted to an AMC feedback controller through a CSI channel detection device;
a feedforward receiving module 420, configured to receive a feedforward control output result transmitted by the AMC feedforward controller; the feedforward control output result is obtained by processing interference information through an AMC feedforward controller by adopting a feedforward compensation algorithm; interference information reported by a terminal is transmitted to an AMC feedforward controller through a CSI interference measurement device;
and a physical layer transmission module 430, configured to transmit the wireless channel to the terminal through the antenna port based on the feedback control output result and the feedforward control output result, the determined link adaptive parameter, and the resource allocation scheme.
For specific limitations of the link adaptive adjustment device, reference may be made to the above limitations of the link adaptive adjustment method, which is not described herein again. The modules in the link adaptive adjusting device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, as shown in fig. 5, a link adaptive adjustment method is provided, which for example is applied to an AMC scheduling unit in an architecture from the perspective of code implementation, and may include the following steps:
a scheduling CSI channel detection unit acquires CSI information reported by a terminal and transmits the CSI information to an AMC feedback control unit;
the dispatching AMC feedback control unit processes the CSI information by adopting a closed-loop control algorithm according to a control target to obtain a feedback control output result;
a scheduling CSI interference detection unit acquires interference information reported by a terminal and transmits the interference information to an AMC feedforward control unit;
the dispatching AMC feedforward control unit adopts a feedforward compensation algorithm to process the interference information to obtain a feedforward control output result;
determining link self-adaptive parameters and a resource allocation scheme based on the feedback control output result and the feedforward control output result; and transmits the link adaptation parameters and the resource allocation scheme to the performing device.
Specifically, the AMC feedback control unit mainly completes receiving CSI information reported by the terminal UE, mainly CQI information, mapping to an efficiency offset value (spectrum utilization efficiency), calculating a final offset value by using the current and last offset values in an integral manner, and then mapping to MCS Index and a coding manner. Meanwhile, the HARQ information is utilized to calculate whether the BLER meets the requirement.
The AMC feedforward control unit mainly receives an interference measurement result reported by the terminal UE, calculates a compensation amount by adopting a static feedforward control technology, and completely compensates the interference.
The AMC control scheduling unit determines the parameters and resource allocation scheme of the selected link adaptive AMC according to the AMC feedforward compensation control unit and the AMC feedback control unit, and notifies the link adaptive AMC execution device of the parameters and the resource allocation scheme.
Further, the AMC control scheduling unit is a module for implementing AMC flow control in the MAC layer, which is described from the implementation perspective. In the application, the AMC control scheduling unit may be understood as a scheduler, when to send CSI-RS (reference signal for CSI channel detection)/CSI-IM (reference signal for CSI interference measurement), when to receive CSI in uplink, how many BITs of CSI code streams are received, and so on.
It should be noted that, in fig. 5, the AMC control scheduling unit can perform overall control on four units at the periphery of the diagram, where the four units have some timing requirements. This is illustrated from a code implementation perspective.
For specific limitations of each unit in fig. 5, reference may be made to the above limitations on each device in the link adaptive adjustment system, and details are not described here. The various elements of fig. 5 may be implemented in whole or in part by software, hardware, and combinations thereof. The units can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a base station is provided, which includes any one of the above-mentioned link adaptation systems.
In one embodiment, the base station is applied to a 5G NR system.
In one embodiment, the base station is configured to configure a CSI-RS parameter, a CSI-IM parameter, and a CSI parameter;
the base station issues the CSI-RS parameters and the CSI-IM parameters to the terminal; the CSI-RS parameter is used for indicating the terminal to measure the channel quality and reporting the CSI information; and the CSI-IM parameter is used for indicating the terminal to measure the channel interference and reporting interference information.
In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps of any of the above-described link adaptive adjustment methods.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A link self-adaptive adjustment system is characterized by comprising a CSI channel detection device, an AMC feedback controller, a CSI interference measurement device, an AMC feedforward controller and an execution device; wherein:
the CSI channel detection device acquires CSI information reported by a terminal and transmits the CSI information to the AMC feedback controller;
the AMC feedback controller processes the CSI information by adopting a closed-loop control algorithm according to a control target to obtain a feedback control output result, and transmits the feedback control output result to the execution device; the AMC feedback controller respectively acquires a wireless channel model, a CSI channel detection device model, a feedback controller model and an execution device model; the AMC feedback controller takes the control target as an input quantity, and adopts the following closed-loop transfer functions to process the wireless channel model, the CSI channel detection device model, the feedback controller model and the execution device model to obtain an output quantity:
Wherein Y(s) is the output quantity, X(s) is the input quantity, H(s) is the CSI channel detection device model, G (G) a (s) is the executive model, G(s) is the radio channel model, G c (s) is the feedback controller model;
the CSI interference measurement device acquires interference information reported by a terminal and transmits the interference information to the AMC feedforward controller;
the AMC feedforward controller processes the interference information by adopting a feedforward compensation algorithm to obtain a feedforward control output result and transmits the feedforward control output result to the execution device; wherein the interference information includes an amount of interference; the AMC feedforward controller respectively acquires an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model; the AMC feedforward controller takes the disturbance amount as an input amount, and adopts the following closed-loop transfer functions to process the interference channel model, the wireless channel model, the CSI channel detection device model, the feedback controller model, the feedforward controller model and the execution device model to obtain output amounts:
If D(s) is 0, then:
wherein Y(s) is the output quantity, D(s) is the disturbance quantity, H(s) is the CSI channel detection device model, G(s) a (s) is the executive model, G(s) is the radio channel model, G f (s) is the feedforward controller model, G c (s) is the feedback controller model, G d (s) is the interference channel model, G f Is a feedforward controller transfer function;
and the execution device determines a link self-adaptive parameter and a resource allocation scheme according to the feedback control output result and the feedforward control output result, and transmits the link self-adaptive parameter and the resource allocation scheme to a wireless channel of the terminal through an antenna port.
2. The link adaptive adjustment system according to claim 1, wherein the AMC feedforward controller is a PI controller or a P-type controller; the feed forward control output includes an offset.
3. The link adaptation system of claim 1, wherein the control target comprises BLER and downlink transmission rate; the AMC feedback controller is a PI controller or a P-type controller.
4. The link adaptation system of claim 1, wherein the CSI information comprises CQI information; the feedback control output result comprises an MCS value and a coding format;
The AMC feedback controller adopts a corresponding algorithm to map and look up a table based on the CQI information to obtain the current spectrum utilization efficiency;
the AMC feedback controller carries out integral processing on the previous frequency spectrum utilization efficiency and the current frequency spectrum utilization efficiency to obtain the final frequency spectrum utilization efficiency;
and the AMC feedback controller maps the final spectrum utilization efficiency to obtain the MCS value and the coding format.
5. A link adaptive adjustment method is characterized by comprising the following steps:
receiving a feedback control output result transmitted by an AMC feedback controller; the feedback control output result is obtained by processing CSI information through the AMC feedback controller by adopting a closed-loop control algorithm according to a control target; the CSI information reported by the terminal is transmitted to the AMC feedback controller through a CSI channel detection device; the AMC feedback controller respectively acquires a wireless channel model, a CSI channel detection device model, a feedback controller model and an execution device model; the AMC feedback controller takes the control target as an input quantity, and adopts the following closed-loop transfer functions to process the wireless channel model, the CSI channel detection device model, the feedback controller model and the execution device model to obtain an output quantity:
Wherein Y(s) is the output quantity, X(s) is the input quantity, H(s) is the CSI channel detection device model, G(s) a (s) is the executive model, G(s) is the radio channel model, G c (s) is the feedback controller model;
receiving a feedforward control output result transmitted by an AMC feedforward controller; the feedforward control output result is obtained by processing interference information through the AMC feedforward controller by adopting a feedforward compensation algorithm; the interference information reported by the terminal is transmitted to the AMC feedforward controller through a CSI interference measurement device; wherein the interference information includes an amount of interference; the AMC feedforward controller respectively acquires an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model; the AMC feedforward controller takes the disturbance amount as an input amount, and adopts the following closed-loop transfer functions to process the interference channel model, the wireless channel model, the CSI channel detection device model, the feedback controller model, the feedforward controller model and the execution device model to obtain output amounts:
if D(s) is 0, then:
Wherein Y(s) is the output quantity, D(s) is the disturbance quantity, H(s) is the CSI channel detection device model, G (G) a (s) is the executive device model, G(s) is the radio channel model, G f (s) is the feedforward controller model, G c (s) is the feedback controller model, G d (s) is the interference channel model, G f Is a feedforward controller transfer function;
and determining a link self-adaptive parameter and a resource allocation scheme according to the feedback control output result and the feedforward control output result, and transmitting the link self-adaptive parameter and the resource allocation scheme to a wireless channel of the terminal through an antenna port.
6. A link adaptive adjustment apparatus, comprising:
a feedback receiving module for receiving the feedback control output result transmitted by the AMC feedback controller; the feedback control output result is obtained by processing CSI information through the AMC feedback controller by adopting a closed-loop control algorithm according to a control target; the CSI information reported by the terminal is transmitted to the AMC feedback controller through a CSI channel detection device; the AMC feedback controller respectively acquires a wireless channel model, a CSI channel detection device model, a feedback controller model and an execution device model; the AMC feedback controller takes the control target as an input quantity, and adopts the following closed-loop transfer functions to process the wireless channel model, the CSI channel detection device model, the feedback controller model and the execution device model to obtain an output quantity:
Wherein Y(s) is the output quantity, X(s) is the input quantity, H(s) is the CSI channel detection device model, G (G) a (s) is the executive model, G(s) is the radio channel model, G c (s) is the feedback controller model;
the feedforward receiving module is used for receiving a feedforward control output result transmitted by the AMC feedforward controller; the feedforward control output result is obtained by processing interference information through the AMC feedforward controller by adopting a feedforward compensation algorithm; the interference information reported by the terminal is transmitted to the AMC feedforward controller through a CSI interference measurement device; wherein the interference information includes an amount of interference; the AMC feedforward controller respectively acquires an interference channel model, a wireless channel model, a CSI channel detection device model, a feedback controller model, a feedforward controller model and an execution device model; the AMC feedforward controller takes the disturbance amount as an input amount, and adopts the following closed-loop transfer functions to process the interference channel model, the wireless channel model, the CSI channel detection device model, the feedback controller model, the feedforward controller model and the execution device model to obtain output amounts:
If D(s) is 0, then:
wherein Y(s) is the output quantity, D(s) is the disturbance quantity, H(s) is the CSI channel detection device model, G (G) a (s) is the executive device model, G(s) isThe wireless channel model, G f (s) is the feedforward controller model, G c (s) is the feedback controller model, G d (s) is the interference channel model, G f Is a feedforward controller transfer function;
and the physical layer transmission module is used for determining a link self-adaptive parameter and a resource allocation scheme according to the feedback control output result and the feedforward control output result and transmitting the link self-adaptive parameter and the resource allocation scheme to a wireless channel of the terminal through an antenna port.
7. A base station, characterized in that the base station comprises the link adaptation system of any of claims 1 to 4.
8. The base station of claim 7, wherein the base station is applied to a 5G NR system.
9. The base station according to claim 7 or 8,
the base station is used for configuring a CSI-RS parameter, a CSI-IM parameter and a CSI parameter;
the base station issues the CSI-RS parameters and the CSI-IM parameters to a terminal; the CSI-RS parameter is used for indicating the terminal to measure the channel quality and reporting CSI information; and the CSI-IM parameter is used for indicating the terminal to measure the channel interference and reporting interference information.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method as claimed in claim 5.
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