CN115085775B

CN115085775B - Shape information determining method, communication device and storage medium

Info

Publication number: CN115085775B
Application number: CN202110268685.8A
Authority: CN
Inventors: 李健之; 刘龙; 郑占旗
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2021-03-12
Filing date: 2021-03-12
Publication date: 2023-09-22
Anticipated expiration: 2041-03-12
Also published as: CN115085775A

Abstract

The invention provides a shaping information determining method, a communication device and a storage medium, wherein the method comprises the following steps: acquiring first channel information of a first moment and second channel information of a second moment of a terminal, wherein the first moment is the current moment, and the second moment is a future moment relative to the current moment; and determining the shaping information of the terminal based on the first channel information and the second channel information. The invention can improve the robustness of signal transmission because the shaping information is determined based on the channel information at two moments.

Description

Shape information determining method, communication device and storage medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a method for determining shaping information, a communications device, and a storage medium.

Background

In some communication scenarios, the terminal may move at high speed, when the terminal moves at high speed, the wireless channel between the terminal and the network device may change significantly. However, the shaping information of the terminal is determined only based on the channel information at a certain moment, so that when the terminal moves at a high speed, the wireless channel between the terminal and the network equipment can be changed significantly, and the determined shaping information is easy to be mismatched with the channel, so that the robustness of signal transmission is poor.

Disclosure of Invention

The embodiment of the invention provides a shaping information determining method, communication equipment and a storage medium, which are used for solving the problem of poor robustness of signal transmission.

The embodiment of the invention provides a method for determining shaping information, which comprises the following steps:

acquiring first channel information of a first moment and second channel information of a second moment of a terminal, wherein the first moment is the current moment, and the second moment is a future moment relative to the current moment;

and determining the shaping information of the terminal based on the first channel information and the second channel information.

Optionally, the acquiring the first channel information at the first time and the second channel information at the second time of the terminal includes:

acquiring a channel information set of the terminal, wherein the channel information set comprises first channel information of the first moment and channel information of at least one moment before the first moment;

and performing Autoregressive (AR) prediction based on the channel information set to obtain second channel information at the second moment.

Optionally, the performing AR prediction based on the channel information set to obtain second channel information at the second time includes:

Estimating a time delay time sequence of a multipath cluster based on the channel information set;

estimating a complex amplitude time sequence of the multipath cluster based on the delay time sequence of the multipath cluster;

and executing AR prediction based on the complex amplitude time sequence of the multipath cluster to obtain second channel information of the second moment.

Optionally, the performing AR prediction based on the complex amplitude of the multipath cluster to obtain second channel information at the second time includes:

estimating an AR order based on the complex amplitude time series of the multipath cluster;

estimating AR filter coefficients based on the complex amplitude time series of the multipath clusters;

predicting complex amplitudes at a second moment of each radial cluster using the AR order and AR filter coefficients;

and carrying out Fourier transform on the complex amplitudes of the plurality of path clusters at the second moment to obtain second channel information at the second moment.

And performing channel extrapolation operation or randomization operation on the channel information set to obtain second channel information at the second moment.

Optionally, the determining the shaping information of the terminal based on the first channel information and the second channel information includes:

executing a first operation on the first channel information to obtain a first channel result, and executing a second operation on the second channel information to obtain a second channel result;

determining shaping information of the terminal based on the first channel result and the second channel result;

wherein the first operation comprises: multiplying by at least one of the first phase and the first weight;

the second operation includes: multiplying by at least one of the second phase and the second weight.

calculating a first shaping vector of the terminal based on the first channel information, and calculating a second shaping vector of the terminal based on the second channel information;

and determining the shaping information of the terminal based on the first shaping vector and the second shaping vector.

And determining the shaping information of the null space broadening of the terminal based on the first channel information and the second channel information.

acquiring first channel information at a first time and second channel information at a second time of a plurality of terminals of Multi-User Multiple-Input Multiple-Output (MU-MIMO);

the determining the shaping information of the terminal based on the first channel information and the second channel information includes:

and determining the forming matrix of the plurality of terminals based on the first channel information of the first time and the second channel information of the second time of the plurality of terminals.

An embodiment of the present invention provides a communication apparatus including: memory, transceiver, and processor, wherein:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

and executing autoregressive AR prediction based on the channel information set to obtain second channel information of the second moment.

The embodiment of the invention also provides a communication device, which comprises:

an obtaining unit, configured to obtain first channel information at a first time and second channel information at a second time of a terminal, where the first time is a current time, and the second time is a future time relative to the current time;

and the determining unit is used for determining the shaping information of the terminal based on the first channel information and the second channel information.

Optionally, the acquiring unit is configured to acquire a channel information set of the terminal, where the channel information set includes first channel information at the first time and further includes channel information at least one time before the first time; and performing autoregressive AR prediction based on the channel information set to obtain second channel information at the second moment.

Optionally, the acquiring unit is configured to acquire a channel information set of the terminal, where the channel information set includes first channel information at the first time and further includes channel information at least one time before the first time; and performing channel extrapolation operation or randomization operation on the second channel information set to obtain second channel information at the second moment.

The embodiment of the invention also provides a processor readable storage medium, and the processor readable storage medium stores a computer program, and the computer program is used for enabling the processor to execute the shaping information determining method provided by the embodiment of the invention.

In the embodiment of the invention, first channel information of a first moment and second channel information of a second moment of a terminal are acquired, wherein the first moment is the current moment, and the second moment is the future moment relative to the current moment; and determining the shaping information of the terminal based on the first channel information and the second channel information. Because the shaping information is determined based on the channel information at the current moment and the future moment, the determined shaping information is easier to match with the channel change caused by the high-speed movement of the terminal, and the robustness of signal transmission is further improved.

Drawings

FIG. 1 is a schematic diagram of a network architecture to which the present invention is applicable;

fig. 2 is a flowchart of a shaping information determining method provided in an embodiment of the present invention;

FIG. 3 is a schematic diagram of AR prediction provided by an embodiment of the present invention;

FIG. 4 is a schematic diagram of an orthogonal relationship provided by an embodiment of the present invention;

FIG. 5 is a Null-Space (Null-Space) widening schematic diagram provided by an embodiment of the present application;

fig. 6 is a schematic diagram of a determination of shaping information according to an embodiment of the present application;

fig. 7 is a block diagram of a communication device according to an embodiment of the present application;

fig. 8 is a block diagram of another communication device according to an embodiment of the present application.

Detailed Description

In order to make the technical problems, technical solutions and advantages to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.

In the embodiment of the application, the term "and/or" describes the association relation of the association objects, which means that three relations can exist, for example, a and/or B can be expressed as follows: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "plurality" in embodiments of the present application means two or more, and other adjectives are similar.

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The embodiment of the invention provides a shaping information determining method, communication equipment and a storage medium, which are used for solving the problem that shaping information is easy to be mismatched with a channel.

The method and the device are based on the same application, and because the principles of solving the problems by the method and the device are similar, the implementation of the device and the method can be referred to each other, and the repetition is not repeated.

The technical scheme provided by the embodiment of the invention can be suitable for various systems, in particular to a 6G system. For example, applicable systems may be global system for mobile communications (global system of mobile communication, GSM), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) universal packet Radio service (general packet Radio service, GPRS), long term evolution (long term evolution, LTE), LTE frequency division duplex (frequency division duplex, FDD), LTE time division duplex (time division duplex, TDD), long term evolution-advanced (long term evolution advanced, LTE-a), universal mobile system (universal mobile telecommunication system, UMTS), worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX), 5G New air interface (New Radio, NR), 6G, and the like. Terminal devices and network devices are included in these various systems. Core network parts such as evolved packet system (Evloved Packet System, EPS), 5G system (5 GS) etc. may also be included in the system.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a network architecture applicable to the implementation of the present invention, as shown in fig. 1, including a terminal 11 and a network device 12.

The terminal according to the embodiment of the invention can be a device for providing voice and/or data connectivity for a user, a handheld device with a wireless connection function, or other processing devices connected to a wireless modem, etc. The names of the terminal devices may also be different in different systems, for example in a 5G system, the terminal devices may be referred to as User Equipment (UE). The wireless terminal device may communicate with one or more Core Networks (CNs) via a radio access Network (Radio Access Network, RAN), which may be mobile terminal devices such as mobile phones (or "cellular" phones) and computers with mobile terminal devices, e.g., portable, pocket, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange voice and/or data with the radio access Network. Such as personal communication services (Personal Communication Service, PCS) phones, cordless phones, session initiation protocol (Session Initiated Protocol, SIP) phones, wireless local loop (Wireless Local Loop, WLL) stations, personal digital assistants (Personal Digital Assistant, PDAs), redcap terminals, and the like. The wireless terminal device may also be referred to as a system, subscriber unit (subscriber unit), subscriber station (subscriber station), mobile station (mobile), remote station (remote station), access point (access point), remote terminal device (remote terminal), access terminal device (access terminal), user terminal device (user terminal), user agent (user agent), user equipment (user device), and embodiments of the present invention are not limited in this respect.

The network device according to the embodiment of the present invention may be a base station, where the base station may include a plurality of cells for providing services for the terminal. A base station may also be called an access point or may be a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or other names, depending on the particular application. The network device may be operable to exchange received air frames with internet protocol (Internet Protocol, IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiment of the present invention may be a network device (Base Transceiver Station, BTS) in a global system for mobile communications (Global System for Mobile communications, GSM) or code division multiple access (Code Division Multiple Access, CDMA), a network device (NodeB) in a wideband code division multiple access (Wide-band Code Division Multiple Access, WCDMA), an evolved network device (evolutional Node B, eNB or e-NodeB) in a long term evolution (long term evolution, LTE) system, a 5G base station (gNB) in a 5G network architecture (next generation system), a base station in 6G, a home evolved base station (Home evolved Node B, heNB), a relay node (relay node), a home base station (femto), a pico base station (pico), etc., which are not limited in the embodiment of the present invention. In some network structures, the network device may include a Centralized Unit (CU) node and a Distributed Unit (DU) node, which may also be geographically separated.

Multiple-input Multiple-output (Multi Input Multi Output, MIMO) transmissions, which may be Single-User MIMO (SU-MIMO) or Multiple-User MIMO (MU-MIMO), may each be performed between a network device and a terminal using one or more antennas. The MIMO transmission may be 2D-MIMO, 3D-MIMO, FD-MIMO, or massive-MIMO, or may be diversity transmission, precoding transmission, beamforming transmission, or the like, depending on the form and number of the root antenna combinations.

Referring to fig. 2, fig. 2 is a flowchart of a method for determining shaping information according to an embodiment of the present invention, as shown in fig. 2, including the following steps:

step 201, acquiring first channel information of a first moment and second channel information of a second moment of a terminal, wherein the first moment is a current moment, and the second moment is a future moment relative to the current moment;

step 202, determining shaping information of the terminal based on the first channel information and the second channel information.

The second time may be a future time of a preset time interval after the current time, for example: a certain prediction period is spaced. The channel information may be channel estimation. In this way, the method can realize the determination of the shaping information of the terminal based on the channel estimation at the current moment and the channel estimation at the future moment, and the signal transmission with the terminal based on the shaping information.

The first channel information at the first time may be obtained by channel estimation, and the second channel information at the second time may be obtained by prediction based on the first channel information.

In addition, the above-mentioned terminal may be one or more terminals, for example: in MU-MIMO scenarios, it may be to determine shaping information for each terminal, for example: MU shaping weights.

In the embodiment of the invention, the shaping information can be determined based on the channel information at the current moment and the future moment through the steps, so that the determined shaping information is easier to match with the channel change caused by the high-speed movement of the terminal, the robustness of signal transmission is further improved, and the total throughput of the system can be effectively improved.

As an optional implementation manner, the acquiring the first channel information at the first time and the second channel information at the second time of the terminal includes:

and executing AR prediction based on the channel information set to obtain second channel information of the second moment.

The at least one time may be historical channel information of a historical time for the first time.

The performing AR prediction based on the channel information set to obtain the second channel information at the second time may be to use the channel information set as an input of a pre-trained AR model to predict the second channel information at the second time.

Or, the performing AR prediction based on the channel information set to obtain the second channel information at the second time may include:

The estimating the time delay time sequence of the multipath cluster based on the channel information set may be estimating the time delay of the multipath cluster by using a time delay estimation algorithm, so as to obtain the time delay time sequence of the multipath cluster. For example: and (4) estimating the time delay of all the multipath clusters at one time by adopting an ESPRIT algorithm. It should be noted that, in the embodiment of the present invention, the delay estimation algorithm is not limited, and specifically, the delay estimation algorithm defined in the protocol may be adopted.

The estimating the complex amplitude time sequence of the multipath cluster based on the time delay time sequence of the multipath cluster may be estimating the complex amplitude time sequence of the multipath cluster based on the time delay time sequence of the multipath cluster by using a maximum likelihood estimation algorithm.

The performing AR prediction based on the complex amplitude time series of the multipath cluster may obtain the second channel information at the second time, and the obtaining may include using the complex amplitude time series of the multipath cluster as an input of a pre-trained AR model to predict the second channel information at the second time.

In this embodiment, since the AR prediction is performed based on the complex amplitude time sequence of the multipath cluster, the second channel information at the second time is obtained, so that the accuracy of the second channel information prediction may be improved, and all typical wireless channel scenarios are applicable.

Optionally, the performing AR prediction based on the complex amplitude time sequence of the multipath cluster to obtain second channel information at the second time includes:

predicting complex amplitudes at a second instant of each multipath cluster using the AR orders and AR filter coefficients;

And carrying out Fourier transform on the complex amplitudes of the plurality of multipath clusters at the second moment to obtain second channel information at the second moment.

The estimating the AR order based on the complex amplitude time series of the multipath cluster may be estimating the AR order based on the complex amplitude time series of the multipath cluster using bayesian information criteria (Bayesian Information Criterion, BIC), for example: AR order estimation is performed on the complex amplitude time series of each multipath cluster by using BIC information criterion to obtain the AR order.

The estimating the AR filter coefficient based on the complex amplitude time series of the multipath cluster may be estimating the AR filter coefficient based on the complex amplitude time series of the multipath cluster using a least square method, for example: and carrying out AR filter coefficient estimation on the complex amplitude time sequence of each multipath cluster by using a least square method to obtain the AR filter coefficients.

The predicting the complex amplitude of the second time instant of each multipath cluster using the AR order and the AR filter coefficient may be performing AR recursion on the complex amplitude of the multipath cluster using the AR order and the AR filter coefficient to obtain the complex amplitude of the second time instant of each multipath cluster, where the recursion may be 1 or more recursions.

It should be noted that, in the embodiment of the present invention, the multipath cluster may also be referred to as a multipath delay cluster or a delay cluster.

In this embodiment, the accuracy of the second channel information at the second time can be improved by the above method. Further, the calculation amount can be greatly reduced by AR prediction.

As shown in fig. 3, fig. 3 shows a schematic AR prediction for the complex amplitude of a multipath delay profile, where each point may correspond to the complex amplitude of a multipath profile at a time instant. Taking a channel estimation period (sounding period) as an example of 10ms, AR prediction can be performed by using a historical channel estimation result to obtain a predicted channel result of 10ms in the future, and then the predicted result is used as a historical channel sample to perform recursive prediction to obtain a predicted channel of 20ms in the future.

The performing a channel extrapolation operation on the channel information set may be performing a channel extrapolation operation on the channel information set using a polynomial extrapolation method, for example: and performing channel extrapolation operation on the channel information set by adopting a Lagrangian extrapolation channel extrapolation method. Of course, the embodiment of the present invention is not limited to performing the channel extrapolation operation on the channel information set by using the polynomial extrapolation method, for example: in some embodiments or scenarios, the channel information set may be subjected to a channel extrapolation operation by a single extrapolation method, or may be subjected to a channel extrapolation operation by a linear extrapolation method.

The following is an illustration of a Lagrangian second order extrapolation, where the Lagrangian second order extrapolation is expressed as:

wherein h is _i,j,k (T) represents the channel coefficient from the ith antenna of the kth terminal to the jth antenna of the base station at time T, T _f The Δt is a delay difference, which is generally smaller than the channel estimation period (sounding period), and n is an integer.

For the Lagrangian second-order channel extrapolation, the extrapolated channel is obtained according to the weight of the period (sounding period) of the previous 3 times of channel estimation, that is, the extrapolated point actually contains the channel information in a period of time before and after the weight updating time, the orthogonal space of the shaping weight is enlarged, and the interference is suppressed.

In practical application, the weight calculation between the channel sounding reference signal (Sounding Reference Signal, SRS) resources (or frequency points) of each terminal is independent, namely, the orthogonality of the forming weights between the terminals in the same frequency point is only ensured, and the orthogonality of the forming weights between the frequency points is not ensured. As shown in fig. 4, the weight orthogonality relationship corresponding to the 1 st frequency point can be represented by an arrow with a number (1) in the figure. Taking the future 2 extrapolation channels of 5ms and 10ms to make time domain zero space broadening based on the shaping (Eigenvalue Based Beamforming, EBB) weight of the channel eigenvalue, and the newly added orthogonal relationship corresponds to arrow (2) (this operation is based on (1)). In addition, the frequency points close to each other in the frequency domain can be subjected to zero space broadening, and the orthogonal relationship can be represented by (3) and (4) in fig. 3. Under the condition that the adopted spreading frequency points are consistent, the two methods can achieve the same interference suppression effect as the time domain zero space spreading by taking 2 predicted frequency points of 5ms and 10ms in the future.

Simulation and actual measurement are combined to show that the performance of the Lagrangian second-order extrapolation is close to that of a third-order or fourth-order AR model extrapolation.

It should be noted that, the grangian second-order extrapolation method is only an alternative embodiment, for example: the method can also adopt a Brownian third-order extrapolation method or a Brownian fourth-order extrapolation method.

The randomizing operation on the channel information set may be a linear combination of two or more channel information in the channel information set, where a combination coefficient may be selected randomly, where a sum of magnitudes of the coefficients is 1.

In this embodiment, the channel information set is subjected to a channel extrapolation operation or a randomization operation to obtain the second channel information at the second moment, so that the method is suitable for a scene of a multipath sparse channel, such as a certain outdoor open scene, a millimeter wave scene, and a satellite communication scene. In addition, the calculation complexity of the scheme is low.

As an optional implementation manner, the determining shaping information of the terminal based on the first channel information and the second channel information includes:

and determining the shaping information of the terminal based on the first channel result and the second channel result.

Wherein the first operation may include: multiplying by at least one of the first phase and the first weight;

the second operation may include: multiplying by at least one of the second phase and the second weight.

The first weight and the second weight may be different weights, and the first phase and the second phase may be the same or different phases.

For example: and multiplying the first channel result and the second channel result by random phases, giving different weights, and then superposing to obtain channel samples serving as determined shaping information, such as channel samples serving as zero space broadening. For example, a sample of the zero spatial spread obtained using the channel information of the current sounding period and the channel information of the last sounding period may be expressed as:

wherein lambda is ₁ ,λ ₂ ,Is a random weight and random phase deflection of the channel samples and λ ₁ +λ ₂ =1. Simulation results show that the processing can completely achieve the same effect as the time domain/frequency domain channel extrapolation zero space broadening. The meaning of the method is that when SRS PRB resources are limited, enough widening sample points with certain randomness can be randomly generated through a small amount of current sounding channel information and historical channel samples, so that the widening purpose is achieved.

And determining the shaping information of the terminal based on the first channel result and the second channel result may be to perform wave beam shaping based on the first channel result and the second channel result so as to obtain the shaping information of the terminal. For example: zero-forcing (ZF) shaping is performed based on the first channel result and the second channel result to obtain shaping information of the terminal.

In this embodiment, the shaping information of the terminal is determined based on the first channel result and the second channel result, so that the accuracy of the shaping information can be improved.

The calculating the first shaping vector of the terminal based on the first channel information may be that shaping operation is performed based on the first channel information, so as to obtain the first shaping vector of the terminal. The calculating the second shaping vector of the terminal based on the second channel information may be that shaping operation is performed based on the second channel information, so as to obtain the second shaping vector of the terminal, for example: EBB shaping is performed.

The first shaping vector and the second shaping vector may be referred to as shaping weights.

The determining the shaping information of the terminal based on the first shaping vector and the second shaping vector may be that the first shaping vector and the second shaping vector are orthogonal or spliced according to a preset mode, so as to obtain the shaping information of the terminal.

In this embodiment, the shaping information of the terminal is determined based on the first shaping vector and the second shaping vector, so that the accuracy of the shaping information can be improved.

The shaping information of the zero space broadening may be obtained by orthogonalizing the EBB weights, that is, EBB shaping is performed on the first channel information and the second channel information to obtain EBB weights, and then orthogonalizing the EBB weights to obtain shaping information of the zero space broadening of the terminal. Taking ZF beamforming as an example, ZF makes equivalent channels after beamforming between terminals mutually orthogonal, i.e., inter-terminal interference is 0. This orthogonality is weak when the terminal is moving, especially in non line of sight (NLOS) conditions. The following describes the basic principle of shaping ZF based on the current channel estimate h and the AR channel prediction (channel extrapolation/randomization) result h', against time-varying channels.

As shown in fig. 5, assuming that 2 communication users exist in the cell, the ZF algorithm does not consider channel time-varying, so that orthogonality cannot be guaranteed between the user 2 shaping vector w and the user 1 time-varying channel when downlink transmission occurs, and the interference suppression gain is significantly reduced. In this embodiment, second channel information (h ' samples) is obtained by AR prediction, and the h ' samples are shaped to obtain a shaping vector w ', so that the shaping vector w ' is orthogonal to a vector space formed by h and h '. The vector of any linear combination of h and h 'corresponds to a time-varying channel over a period of time in the future, the channel in this time can be regarded approximately as a linear combination of the current time instant channel and the predicted channel, i.e. αh+βh' in the figure. The channel vectors fall in a vector Space (i.e. Null-Space) formed by h and h ', namely w' is orthogonal to the vector, so that the ZF time-varying resistance is effectively improved.

The shaping information for N terminals can be expressed as follows:

wherein, the liquid crystal display device comprises a liquid crystal display device,is the EBB shaping vector of the i-th terminal acquired using the first channel information,/->Is the EBB vector obtained by the ith user using the second channel information, +.>And->Respectively represent the Nth _u Separate use of first terminalsTwo EBB shaping vectors acquired by the channel information and the second channel information. It should be noted that the above formula is only about +.>Is placed at the forefront so as to acquire the EBB shaping vector acquired by the ith terminal using the first channel information. In addition, a->Current (history) channel h orthogonal to the ith user _k And future channel h' _k K+.i. The orthogonal scheme can select ZF and vector matrix W' _i Satisfy the requirement of making the equivalent MU channel H' _i W′ _i Is a diagonal array.

Further, the weight calculation can be sequentially performed on all terminals to obtain the final forming vector matrix of each terminal:

wherein, in the publicationIs the shaping information of the i-th terminal.

In this embodiment, the shaping information of the null space broadening of the terminal is determined based on the first channel information and the second channel information, so that the inter-user interference and small-scale fading in the period from the current moment to the future moment can be suppressed under the condition of avoiding frequent updating of the shaping weight, and finally the purpose of increasing the MU transmission rate in the high-speed moving state is achieved. For example: for the case of sparse multipath, for example, some outdoor open scenes, millimeter wave scenes and satellite communication scenes, obvious MU performance improvement can be brought.

acquiring first channel information at a first moment and second channel information at a second moment of a plurality of terminals of the multi-user multi-input multi-output MU-MIMO;

In this embodiment, as shown in fig. 6, the first channel information at the first time and the second channel information at the second time of all the users may be determined by channel AR prediction or linear extrapolation, then EBB shaping weights are used to calculate shaping weights of all the users, then, each user is respectively spliced with a weight matrix, orthogonalization is performed to obtain weights of each user, and finally, a shaping matrix of multiple terminals may be obtained, where the shaping matrix includes shaping information of each terminal.

In this embodiment, the shaping information of each terminal may be obtained in MU-MIMO scenario.

It should be noted that, the shaping information determining method provided by the embodiment of the present invention may be applied to a communication device, for example: a network device.

Referring to fig. 7, fig. 7 is a block diagram of a communication device according to an embodiment of the present invention, as shown in fig. 7, including a memory 720, a transceiver 700, and a processor 710:

a memory 720 for storing a computer program; a transceiver 700 for transceiving data under the control of the processor 710; a processor 710 for reading the computer program in the memory 720 and performing the following operations:

Wherein in fig. 7, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 710 and various circuits of memory represented by memory 720, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface. Transceiver 700 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over transmission media, including transmission media including wireless channels, wired channels, optical cables, and the like. The user interface 730 may also be an interface capable of interfacing with an inscribed desired device for a different user device, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 710 is responsible for managing the bus architecture and general processing, and the memory 720 may store data used by the processor 700 in performing operations.

Alternatively, the processor 710 may be a CPU (Central processing Unit), ASIC (Application Specific Integrated Circuit ), FPGA (Field-Programmable Gate Array, field programmable Gate array) or CPLD (Complex Programmable Logic Device ), and the processor may also employ a multicore architecture.

The processor is operable to perform any of the methods provided by embodiments of the present invention in accordance with the obtained executable instructions by invoking a computer program stored in a memory. The processor and the memory may also be physically separate.

Optionally, the first operation includes: multiplying by at least one of the first phase and the first weight;

It should be noted that, the above communication device provided by the embodiment of the present invention can implement all the method steps implemented by the embodiment of the method and achieve the same technical effects, and the same parts and beneficial effects as those of the embodiment of the method in the embodiment are not described in detail herein.

Referring to fig. 8, fig. 8 is a block diagram of another communication device according to an embodiment of the present invention, and as shown in fig. 8, a communication device 800 includes:

an obtaining unit 801, configured to obtain first channel information at a first time and second channel information at a second time of a terminal, where the first time is a current time, and the second time is a future time relative to the current time;

A determining unit 802, configured to determine shaping information of the terminal based on the first channel information and the second channel information.

Optionally, the acquiring unit 801 is configured to acquire a channel information set of the terminal, where the channel information set includes first channel information at the first time and further includes channel information at least one time before the first time; and performing autoregressive AR prediction based on the channel information set to obtain second channel information at the second moment.

Optionally, the acquiring unit 801 is configured to acquire a channel information set of the terminal, where the channel information set includes first channel information at the first time and further includes channel information at least one time before the first time; and performing channel extrapolation operation or randomization operation on the channel information set to obtain second channel information at the second moment.

Optionally, the determining unit 802 is configured to perform a first operation on the first channel information to obtain a first channel result, and perform a second operation on the second channel information to obtain a second channel result; and determining shaping information of the terminal based on the first channel result and the second channel result.

Optionally, the determining unit 802 is configured to calculate a first shaping vector of the terminal based on the first channel information, and calculate a second shaping vector of the terminal based on the second channel information; and determining the shaping information of the terminal based on the first shaping vector and the second shaping vector.

Optionally, the determining unit 802 is configured to determine shaping information of a null space broadening of the terminal based on the first channel information and the second channel information.

Optionally, the acquiring unit 102 is configured to acquire first channel information at a first time and second channel information at a second time of a plurality of terminals of the MU-MIMO;

the determining unit 802 is configured to determine a forming matrix of the plurality of terminals based on the first channel information of the first time and the second channel information of the second time of the plurality of terminals.

It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The embodiment of the application also provides a processor readable storage medium, and the processor readable storage medium stores a computer program, and the computer program is used for enabling the processor to execute the shaping information determining method provided by the embodiment of the application.

The processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic storage (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical storage (e.g., CD, DVD, BD, HVD, etc.), semiconductor storage (e.g., ROM, EPROM, EEPROM, nonvolatile storage (NAND FLASH), solid State Disk (SSD)), and the like.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable 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 processor-executable instructions may also be stored in a processor-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 processor-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 processor-executable 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 modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims

1. A method for determining shaping information, comprising:

determining shaping information of the terminal based on the first channel information and the second channel information;

Wherein the determining the shaping information of the terminal based on the first channel information and the second channel information includes:

executing a first operation on the first channel information to obtain a first channel result, and executing a second operation on the second channel information to obtain a second channel result; determining shaping information of the terminal based on the first channel result and the second channel result; wherein the first operation comprises: multiplying by at least one of the first phase and the first weight; the second operation includes: multiplying by at least one of a second phase and a second weight; or alternatively, the process may be performed,

calculating a first shaping vector of the terminal based on the first channel information, and calculating a second shaping vector of the terminal based on the second channel information; determining shaping information of the terminal based on the first shaping vector and the second shaping vector; or alternatively, the process may be performed,

2. The method of claim 1, wherein the acquiring the first channel information at the first time and the second channel information at the second time for the terminal comprises:

3. The method of claim 2, wherein the performing AR prediction based on the set of channel information to obtain second channel information for the second time instance comprises:

4. The method of claim 3, wherein the performing AR prediction based on the complex amplitude time series of the multipath clusters to obtain the second channel information at the second time instant comprises:

5. The method of claim 1, wherein the acquiring the first channel information at the first time and the second channel information at the second time for the terminal comprises:

6. The method according to any one of claims 1 to 5, wherein the acquiring the first channel information at the first time and the second channel information at the second time of the terminal comprises:

7. A communication device, comprising: memory, transceiver, and processor, wherein:

8. The apparatus of claim 7, wherein the acquiring the first channel information for the first time and the second channel information for the second time for the terminal comprises:

9. The apparatus of claim 8, wherein the performing AR prediction based on the set of channel information to obtain second channel information for the second time instance comprises:

10. The apparatus of claim 9, wherein the performing AR prediction based on complex amplitudes of the multipath clusters to obtain second channel information for the second time instant comprises:

11. The apparatus of claim 7, wherein the acquiring the first channel information for the first time and the second channel information for the second time for the terminal comprises:

12. A communication device, comprising:

a determining unit configured to determine shaping information of the terminal based on the first channel information and the second channel information;

13. The apparatus of claim 12, wherein the obtaining unit is configured to obtain a set of channel information for the terminal, the set of channel information including first channel information for the first time instance, and further including channel information for at least one time instance prior to the first time instance; and performing autoregressive AR prediction based on the channel information set to obtain second channel information at the second moment.

14. The apparatus of claim 12, wherein the obtaining unit is configured to obtain a set of channel information for the terminal, the set of channel information including first channel information for the first time instance, and further including channel information for at least one time instance prior to the first time instance; and performing channel extrapolation operation or randomization operation on the channel information set to obtain second channel information at the second moment.

15. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to execute the shaping information determination method according to any one of claims 1 to 6.