CN112887068B - Data transmission method, transmitting device and receiving device - Google Patents

Data transmission method, transmitting device and receiving device Download PDF

Info

Publication number
CN112887068B
CN112887068B CN201911208490.3A CN201911208490A CN112887068B CN 112887068 B CN112887068 B CN 112887068B CN 201911208490 A CN201911208490 A CN 201911208490A CN 112887068 B CN112887068 B CN 112887068B
Authority
CN
China
Prior art keywords
resource block
incoherent
channel
data
time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911208490.3A
Other languages
Chinese (zh)
Other versions
CN112887068A (en
Inventor
徐剑标
秦熠
汪凡
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Priority to CN201911208490.3A priority Critical patent/CN112887068B/en
Priority to PCT/CN2020/128080 priority patent/WO2021104020A1/en
Publication of CN112887068A publication Critical patent/CN112887068A/en
Application granted granted Critical
Publication of CN112887068B publication Critical patent/CN112887068B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA

Abstract

The embodiment of the application provides a data transmission method, sending equipment and receiving equipment, wherein the data transmission method comprises the following steps: dividing a time frequency resource corresponding to data to be transmitted into a plurality of incoherent resource blocks, wherein each incoherent resource block corresponds to a code word after the data to be transmitted is modulated; precoding a code word corresponding to each incoherent resource block to generate a data frame; a signal carried at a preset resource position of each incoherent resource block in a data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of receiving equipment; transmitting the data frame and the demodulation parameter to a receiving device; the demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames. The method comprises the steps of adjusting signals carried on preset resource positions in a non-coherent resource block into pilot signals. On the basis of not reducing the size of the incoherent resource block and not increasing the frequency spectrum overhead, the pilot frequency signal is introduced, and the data transmission effect is improved.

Description

Data transmission method, transmitting device and receiving device
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a data transmission method, sending equipment and receiving equipment.
Background
In a communication system, a sending end carries out processes of coding, scrambling, modulating and the like on data to be sent, and finally maps the data to be sent to a scheduled time-frequency resource and sends the data to a receiving end through a channel. Correspondingly, after receiving the signal on the channel, the receiving end can obtain data through the processes of signal detection, demodulation, descrambling, decoding and the like.
Data transmission between a transmitting end and a receiving end may include coherent transmission and Non-coherent transmission (NCT). In coherent transmission, Reference Signals (RSs) known to both the transmitting end and the receiving end are also mapped on the scheduled time-frequency resources. And the receiving end performs channel estimation on the channel according to the known reference signal and the received reference signal, and detects a signal on the channel according to the channel state information to obtain data. In non-coherent transmission, the reference signal does not need to be transmitted, and the receiving end obtains data according to the signal on the channel under the condition of no channel state information. Non-coherent transmission has higher resource utilization because reference signals do not need to be transmitted.
In data transmission, the channel varies in the time dimension and the frequency domain dimension. When the channel states on the scheduled time-frequency resources are different, the performance of non-coherent transmission is greatly influenced. The scheduled time-frequency resource can be divided into a plurality of non-coherent modulated resource blocks, and the channels corresponding to the resource blocks are approximately considered to be the same. However, when the number of divided resource blocks is larger and smaller, the incoherent gain is also smaller, and this incoherent transmission method of block transmission causes a loss of the incoherent gain.
Disclosure of Invention
The embodiment of the application provides a data transmission method, a sending device and a receiving device, and improves the data transmission effect.
In a first aspect, an embodiment of the present application provides a data transmission method, including:
dividing a time frequency resource corresponding to data to be transmitted into a plurality of incoherent resource blocks, wherein each incoherent resource block corresponds to a code word after the data to be transmitted is modulated; precoding a code word corresponding to each incoherent resource block to generate a data frame; a signal carried at a preset resource position of each incoherent resource block in a data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of receiving equipment; transmitting the data frame and the demodulation parameter to a receiving device; the demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames.
According to the data transmission method provided by the first aspect, the sending device adjusts the signal carried in the preset resource position in each non-coherent resource block into the pilot signal, the pilot signal is introduced on the basis of not reducing the size of the non-coherent resource block and not increasing the frequency spectrum overhead, the non-coherent transmission and the coherent transmission are combined, and the data transmission effect is improved.
Optionally, in a possible implementation manner of the first aspect, precoding a codeword corresponding to each non-coherent resource block to generate a data frame includes: for each incoherent resource block, acquiring a precoding coefficient and a signal component carried by a codeword corresponding to the incoherent resource block at each resource position in the incoherent resource block; the precoding coefficient is used for enabling the signal component carried by the code word corresponding to the incoherent resource block at the preset resource position of the incoherent resource block to be converted into a preset pilot signal; and carrying out linear transformation on the signal component carried by the code word corresponding to the incoherent resource block at each resource position in the incoherent resource block according to the precoding coefficient to generate a data frame.
Optionally, in a possible implementation manner of the first aspect, dividing a time-frequency resource corresponding to data to be transmitted into a plurality of non-coherent resource blocks includes: acquiring channel coherence granularity, wherein the channel coherence granularity is used for indicating the maximum time-frequency domain size occupied by a non-coherent resource block determined according to channel coherence time and channel coherence bandwidth; and dividing the time-frequency resource into a plurality of non-coherent resource blocks according to the channel coherence granularity.
Optionally, in a possible implementation manner of the first aspect, dividing the time-frequency resource into a plurality of non-coherent resource blocks according to the channel coherence granularity includes: acquiring a correction coefficient, wherein the correction coefficient is greater than 0 and less than or equal to 1; dividing time-frequency resources into N first incoherent resource blocks with the same size and 1 second incoherent resource block according to the correction coefficient and the channel coherence granularity; n is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is larger than or equal to the time-frequency domain size occupied by the second incoherent resource block.
Optionally, in a possible implementation manner of the first aspect, a difference between a time-frequency domain size occupied by the first incoherent resource block and a time-frequency domain size occupied by the second incoherent resource block is smaller than a preset threshold.
Optionally, in a possible implementation manner of the first aspect, the obtaining the channel coherence granularity includes: receiving channel coherence time and channel coherence bandwidth sent by receiving equipment; acquiring channel coherence granularity according to the channel coherence time and the channel coherence bandwidth; or, obtaining a channel coherence time and a channel coherence bandwidth by estimating a channel; and acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
Optionally, in a possible implementation manner of the first aspect, sending the demodulation parameter to the receiving device includes: and sending the demodulation parameters to the receiving equipment through signaling.
In a second aspect, an embodiment of the present application provides a data transmission method, including: receiving a data frame and a demodulation parameter sent by sending equipment; the data frame comprises a plurality of incoherent resource blocks, a signal carried in a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation; the demodulation parameters are used for demodulating signals carried by the data frames; performing channel estimation according to a preset pilot signal carried by each incoherent resource block to obtain channel state information corresponding to each incoherent resource block; and demodulating the signal carried by the data frame according to the channel state information and the demodulation parameters corresponding to each incoherent resource block to obtain demodulation data.
Optionally, in a possible implementation manner of the second aspect, demodulating, according to the channel state information and the demodulation parameter corresponding to each non-coherent resource block, a signal carried by the data frame to obtain demodulated data includes: for each incoherent resource block, obtaining a candidate target signal set according to a pre-allocated code word set, a code word corresponding to the incoherent resource block and channel state information; and performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data.
Optionally, in a possible implementation manner of the second aspect, the method further includes: obtaining a statistical covariance of channel estimation errors; performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data, including: and performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data.
Optionally, in a possible implementation manner of the second aspect, the receiving the demodulation parameter sent by the sending device includes: and receiving the demodulation parameters sent by the sending equipment through signaling.
In a third aspect, an embodiment of the present application provides a sending apparatus, including: the distribution module is used for dividing the time-frequency resource corresponding to the data to be transmitted into a plurality of incoherent resource blocks, and each incoherent resource block corresponds to a code word after the data to be transmitted is modulated; the precoding module is used for precoding the code words corresponding to each incoherent resource block to generate a data frame; a signal carried at a preset resource position of each incoherent resource block in a data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of receiving equipment; the sending module is used for sending the data frame and the demodulation parameters to the receiving equipment; the demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames.
Optionally, in a possible implementation manner of the third aspect, the precoding module is specifically configured to: for each incoherent resource block, acquiring a precoding coefficient and a signal component carried by a codeword corresponding to the incoherent resource block at each resource position in the incoherent resource block; the precoding coefficient is used for enabling the signal component carried by the code word corresponding to the incoherent resource block at the preset resource position of the incoherent resource block to be converted into a preset pilot signal; and carrying out linear transformation on the signal component carried by the code word corresponding to the incoherent resource block at each resource position in the incoherent resource block according to the precoding coefficient to generate a data frame.
Optionally, in a possible implementation manner of the third aspect, the allocating module is specifically configured to: acquiring channel coherence granularity, wherein the channel coherence granularity is used for indicating the maximum time-frequency domain size occupied by a non-coherent resource block determined according to channel coherence time and channel coherence bandwidth; and dividing the time-frequency resource into a plurality of non-coherent resource blocks according to the channel coherence granularity.
Optionally, in a possible implementation manner of the third aspect, the allocating module is specifically configured to: acquiring a correction coefficient, wherein the correction coefficient is greater than 0 and less than or equal to 1; dividing time-frequency resources into N first incoherent resource blocks with the same size and 1 second incoherent resource block according to the correction coefficient and the channel coherence granularity; n is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is larger than or equal to the time-frequency domain size occupied by the second incoherent resource block.
Optionally, in a possible implementation manner of the third aspect, a difference between a size of a time-frequency domain occupied by the first non-coherent resource block and a size of a time-frequency domain occupied by the second non-coherent resource block is smaller than a preset threshold.
Optionally, in a possible implementation manner of the third aspect, the allocating module is specifically configured to: receiving the channel coherence time and the channel coherence bandwidth sent by receiving equipment through a receiving module; acquiring channel coherence granularity according to the channel coherence time and the channel coherence bandwidth; or, obtaining a channel coherence time and a channel coherence bandwidth by estimating a channel; and acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
Optionally, in a possible implementation manner of the third aspect, the sending module is specifically configured to: and sending the demodulation parameters to the receiving equipment through signaling.
In a fourth aspect, an embodiment of the present application provides a receiving apparatus, including: the receiving module is used for receiving the data frame and the demodulation parameters sent by the sending equipment; the data frame comprises a plurality of incoherent resource blocks, a signal carried in a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation; the demodulation parameters are used for demodulating signals carried by the data frames; the channel estimation module is used for carrying out channel estimation according to a preset pilot signal carried by each incoherent resource block to obtain channel state information corresponding to each incoherent resource block; and the demodulation module is used for demodulating the signal carried by the data frame according to the channel state information and the demodulation parameters corresponding to each incoherent resource block to obtain demodulation data.
Optionally, in a possible implementation manner of the fourth aspect, the demodulation module is specifically configured to: for each incoherent resource block, obtaining a candidate target signal set according to a pre-allocated code word set, a code word corresponding to the incoherent resource block and channel state information; and performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data.
Optionally, in a possible implementation manner of the fourth aspect, the demodulation module is further configured to: obtaining a statistical covariance of channel estimation errors; the demodulation module is specifically configured to: and performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data.
Optionally, in a possible implementation manner of the fourth aspect, the receiving module is specifically configured to: and receiving the demodulation parameters sent by the sending equipment through signaling.
In a fifth aspect, an embodiment of the present application provides an apparatus, including a processor and a memory, where the processor is configured to call a program stored in the memory to execute the data transmission method provided in the above first aspect or second aspect.
In a sixth aspect, embodiments of the present application provide a computer-readable storage medium, in which instructions are stored, and when the instructions are executed on a computer or a processor, the data transmission method provided in the above first aspect or second aspect is implemented.
In a seventh aspect, the present application provides a program product, where the program product includes a computer program, where the computer program is stored in a readable storage medium, and the computer program can be read by at least one processor of a device from the readable storage medium, and the at least one processor executes the computer program to make the device implement the data transmission method provided in the above first aspect or second aspect.
In the above aspects, optionally, in one possible implementation, the demodulation parameter includes at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
Drawings
Fig. 1 is a diagram of a communication system architecture to which embodiments of the present application are applicable;
fig. 2 is a schematic structural diagram of a time-frequency resource provided in an embodiment of the present application;
fig. 3 is a message interaction diagram of a data transmission method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a non-coherent modulation resource block according to an embodiment of the present application;
fig. 5 is a flowchart of a data transmission method according to an embodiment of the present application;
fig. 6 is another flowchart of a data transmission method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a sending device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a receiving device according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an apparatus provided in an embodiment of the present application.
Detailed Description
Embodiments of the present application are described below with reference to the drawings.
Please refer to fig. 1, which is an architecture diagram of a communication system according to an embodiment of the present application. As shown in fig. 1, the communication system may include a terminal device 100 and a network device 200. The number of the terminal devices 100 and the number of the network devices 200 are not limited in the embodiment of the present application. The terminal device 100 and the network device 200 may perform wireless communication using air interface resources. Optionally, the air interface resource may include at least one of a time domain resource, a frequency domain resource, a code resource, and a spatial resource. Specifically, when the network device 200 is a sender, the terminal device 100 located within the coverage of the network device 200 may send downlink information to the terminal device 100. Accordingly, the terminal device 100 can receive the downlink information transmitted by the network device 200 as a receiver. When the terminal device 100 is the sender, the uplink information may be transmitted to the network device 200. Accordingly, the network device 200 can receive, as a receiver, the uplink information transmitted by the terminal device 100. The terminal device 100 may be fixed in position or may be movable.
Optionally, the communication system may also comprise other devices. The communication system may also comprise core network equipment (not shown in fig. 1), for example. The network device 200 may be connected to the core network device by wireless or wired means. The core network device and the network device 200 may be separate physical devices, or the function of the core network device and the function of the network device 200 may be integrated on the same physical device, or a physical device may be integrated with a part of the functions of the core network device and a part of the functions of the network device 200. Also for example, the communication system may also include a wireless relay device or a wireless backhaul device (not shown in fig. 1).
It should be noted that the embodiment of the present application does not limit the type of the communication system. For example, the following types may be included, but are not limited to: a Long Term Evolution (LTE) system, an LTE-Advanced (LTE-Advanced) system, a new radio access technology (NR) system, a 5G system, an ultra-reliable and low latency communication (URLLC) system, or a large-scale machine communication (mtc) system.
The network device 200 is a device for transmitting and receiving signals in a network side, for example, a Radio Access Network (RAN) node for accessing a terminal device to a wireless network. Currently, some examples of RAN nodes are: a new generation base station (gNB), a Transmission Reception Point (TRP), an evolved Node B (eNB), a Radio Network Controller (RNC), a Node B (NB), a Base Station Controller (BSC), a Base Transceiver Station (BTS), a home base station (e.g., home evolved Node B or home Node B, HNB), a Base Band Unit (BBU), a relay station, or a wireless fidelity (Wifi) Access Point (AP) in the NR or 5G system. In one network configuration, a network device may include a Centralized Unit (CU) node, or a Distributed Unit (DU) node, or a RAN device including a CU node and a DU node. The wireless coverage area of network device 200 may include one or more cells. The cell may be a macro cell or a small cell (small cell). Optionally, the small cell may include: a metro cell (metro cell), a micro cell (micro cell), a pico cell (pico cell), a femto cell (femto cell), or the like. The embodiment of the present application does not limit the specific technology and the specific device form adopted by the network device 200.
The terminal 100, also called User Equipment (UE), a Mobile Station (MS), or a Mobile Terminal (MT), is a device providing voice/data connectivity to a user, for example, a handheld device with a wireless connection function, or a vehicle-mounted device. Currently, some examples of terminal devices are: a mobile phone (mobile phone), a tablet computer, a notebook computer, a palm top computer, a Mobile Internet Device (MID), a wearable device, a Virtual Reality (VR) device, an Augmented Reality (AR) device, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote surgery (remote medical supply), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (smart security), a wireless terminal in city (smart city), a wireless terminal in smart home (smart home), and the like.
Next, a concept related to the embodiment of the present application will be explained.
1. Time frequency resource
Data transmission can be performed between the network device and the terminal device through time-frequency resources, and the time-frequency resources can be represented in a resource grid form. The name of the resource grid is not limited in the embodiments of the present application, for example, the resource grid may also be referred to as a time-frequency resource block. Referring to fig. 2, for example, fig. 2 shows a schematic diagram of a resource grid of one antenna port.
Resource Elements (REs) may be defined in a resource grid. The RE is a basic unit for data transmission or for resource mapping of data to be transmitted. For example, in fig. 2, 1 RE may correspond to 1 time-domain symbol in the time domain and 1 subcarrier in the frequency domain. Alternatively, the time domain symbols may include, but are not limited to, Orthogonal Frequency Division Multiplexing (OFDM) symbols or discrete fourier spread orthogonal frequency division multiplexing (DFT-s-OFDM) symbols. The 1 RE may be used to map 1 complex symbol, for example, a complex symbol obtained by modulating data to be transmitted or a complex symbol obtained by precoding, which is not limited in this embodiment.
Optionally, Resource Blocks (RBs) may also be defined in the resource grid. Wherein 1 RB may include a positive integer number of subcarriers in the frequency domain and/or 1 RB may include a positive integer number of time domain symbols in the time domain. For example, in fig. 2, 1 RB is a time-frequency resource block including 7 time-domain symbols in the time domain and 12 subcarriers in the frequency domain. Optionally, a positive integer number of RBs may be included in the resource grid.
Optionally, in the resource grid, a slot (slot) and a subframe may be defined in a time domain. The 1 slot may comprise a positive integer number of symbols, e.g. 7, 14, 6 or 12. The 1 subframe may include a positive integer number of slots. For example, for a communication system supporting multiple subcarrier spacings, 1 subframe may comprise 1 time slot when the subcarrier spacing is 15 kilohertz (kHz); when the subcarrier spacing is 30kHz, 1 subframe may include 2 slots; when the subcarrier spacing is 60kHz, 1 subframe may include 4 slots.
It should be noted that the specific numbers referred to in the above description of the RE, RB, slot, and subframe are only examples, and the size of the time-frequency resource block is not limited.
2. Coherent transmission
Coherent transmission is data transmission based on a reference signal, which is used for channel estimation of a transmission channel (also called channel) to obtain Channel State Information (CSI) of the transmission channel.
Specifically, at a transmitting end, a transmitting device performs encoding, scrambling, modulation, and other processes on data to be transmitted, and finally maps the data to a scheduled time-frequency resource, and transmits the data to a receiving device through a channel. Wherein, reference signals are mapped on the scheduled time frequency resources. The reference signal may be known in advance by the transmitting device and the receiving device.
At the receiving end, the receiving device may perform channel estimation on the channel according to the obtained transmitted reference signal and the reference signal actually received by the receiving device, so as to obtain CSI. Therefore, the receiving device obtains the data transmitted by the transmitting device through the processes of signal detection, demodulation, descrambling, decoding and the like according to the information on the CSI detection channel.
The embodiments of the present application do not limit the names of the reference signals and the implementation of the signal sequences. For example, the reference signal may also be referred to as a pilot signal.
3. Non-coherent transmission and non-coherent resource block
In non-coherent transmission, the receiving device obtains the data sent by the transmitting device without CSI. In the following, non-coherent transmission and non-coherent resource blocks are described with reference to an example of non-coherent transmission.
Suppose that data M (or called information) to be transmitted by a transmitting device includes a bits, and each bit may take a binary number of 1 or 0, so that the data M to be transmitted has 2^ a values. Data M to be transmitted in NSTransmission on one RE, the NSThe number of REs may be referred to as a non-coherent resource block. The number of transmitting antennas is NTThe number of receiving antennas is NR。
Because the data M to be sent has 2 a values, in the incoherent transmission, the corresponding constellation diagram comprises 2 a constellation points, and the values of the data M to be sent correspond to the constellation points in the constellation diagram one by one. One for each constellation pointT*NSMay be N (or may be N)S*NTHere by NT*NSThe matrix of (d) is an example), the matrix is represented by X. The whole constellation map has 2^ a NT*NSMatrix X of (a). Each matrix X is not completely the same, for example, two matrices X may have different elements partially or totally, but at least 1 element is different. Optionally, the matrix X of constellation point correspondences may be normalized, i.e., Trace (XX)H) 1. trace () represents summing the elements on the diagonal of the two-dimensional square matrix.
With NT＝2，NSFor example, 4, the matrix X may be represented as:
Figure BDA0002297476790000061
the transmitting device uses 2 antenna ports for transmitting, and each antenna port uses 4 REs for transmitting. The matrix X can be understood as: the ith row and jth column elements in the matrix X are mapped on the jth RE and transmitted through the ith antenna port.
In non-coherent transmission, the data M sent by the sending device is carried by the directional information of the matrix X itself, or may be understood as being carried by the space generated by the row vector of the matrix X. Due to the constellation diagram corresponding to 2^ a NT*NSThe matrixes X are not completely the same, so that the space generated by the row vectors of the matrixes X corresponding to different constellation points is different, and the space corresponding to the data M to be sent with the 2^ a values is also different. For the matrix X1 and the matrix X2 corresponding to any two constellation points in the constellation diagram respectively, N does not existT*NTSuch that X1 ═ H' × X2. This is because: the left-multiplied matrix H ' is a linear transformation, and when such a square matrix H ' exists, the matrix X2 can be converted into the matrix X1 by the linear transformation, resulting in that the space for row vector generation of the matrix X1 and the matrix X2 is the same, and therefore, according to the definition of the incoherent transmission codebook, such a square matrix H ' does not exist.
The benefit of carrying data in this way is: suppose NSThe channels on the RE are the same, and when data M to be transmitted passes through the channels, the received signal can be represented as Y ═ HM + W, wherein H is NR*NTIs CSI, W is NR*NSThe matrix of (2) represents noise. The matrix H multiplied by M is to carry out linear transformation on M, and the space generated by the row vector of H X M is the same as the space generated by the row vector of X because the space generated by the row vector of H X M is not changed when the matrix is subjected to linear transformation, so that the space generated by the row vector of X can be directly obtained without knowing the channel H, and the data M to be sent is obtained.
Thus, at the transmitting end, it is assumed that the value of the data to be transmitted by the transmitting device is e. The sending device can determine a matrix X corresponding to the data e to be sent according to the constellation map mapping rule, and sends the data through the matrix X. This process can be described as a modulation process.
At the receiving end, the receiving device may demodulate through a Generalized Likelihood Ratio Test (GLRT) receiver, and certainly, may demodulate through other manners, which is not limited in the embodiment of the present application. Here, a GLRT receiver is taken as an example for explanation. The specific receiving method comprises the following steps: the receiving device can obtain a matrix X corresponding to all constellation points in the constellation diagram, and obtain a received signal Y and the matrix X according to the following formula IiA distance d betweeni. Wherein, XiRepresents the ith matrix X, i is an integer greater than 1 and less than or equal to 2^ a. This distance may reflect the magnitude of the gap between the spaces generated by the row vectors of the two matrices. The larger the distance is, the larger the space difference is; the smaller the distance, the closer the representation space; when d is 0, it means that the spaces are the same. Optionally, in order to improve the performance of the non-coherent transmission, the constellation diagram may be designed such that the minimum value of the distances between all constellation points is maximized.
Figure BDA0002297476790000071
The receiving device can select the matrix X with the minimum distance in all the distancesiDetermining the matrix X as the detected transmission signaliThe corresponding information is determined as the signal demodulated by the receiver.
For example. Suppose a is 2, NT＝1，NR＝1，NS4. There are 4 values of data to be transmitted, which are: 00. 01, 10 and 11. The constellation diagram includes 4 constellation points, corresponding to 4 matrices X, which are: x1 ═ 1,1,1,1]Correspondence information 00, X2 ═ 1,1, -1]Correspondence information 01, X3 ═ 1, -1,1, -1]Correspondence information 10, X4 ═ 1, -1, -1,1]The correspondence information 11. Assume that the data to be transmitted by the transmitting device is 01, and the corresponding matrix is X2 ═ 1,1, -1]. After data is transmitted through the channel H, the signal received by the receiving device is Y ═ H × X2+ W. Wherein, W is [ W1, W2, W3, W4]W is a vector of 1 x4, and H is a scalar. Then, Y ═ H + w1, H + w2, -H + w3, -H + w4]. The receiving device obtains the distances between the signals Y and X1-X4 according to the formula I. It is assumed that the distance d1 between the signal Y and X1 is 0.6, the distance d2 between the signal Y and X2 is 0.1, the distance d3 between the signal Y and X3 is 0.5, and the distance d4 between the signal Y and X4 is 0.9. The distance between the signal Y and the signal X2 is the smallest, and the receiving device may determine that the signal sent by the sending device corresponds to the matrix X2, so that the data sent by the sending device may be determined to be 01 according to the constellation mapping rule.
It can be seen that in the non-coherent transmission, compared with the coherent transmission, the reference signal does not need to be transmitted in the non-coherent transmission, and therefore, the resource utilization rate is higher. Also, the constellation points are based on non-coherent resource blocks (e.g., N in the above example)SAnd RE) are jointly designed, thereby having better transmission performance.
Currently, a network device may schedule more time-frequency resources to a terminal device for data transmission, so as to improve throughput. Due to the time delay spread, the movement of the terminal equipment and other reasons, the channel varies in both the time dimension and the frequency dimension, and the channels on different time domain symbols or different subcarriers are different. In non-coherent transmission, the channels on non-coherent transport blocks need to be as identical as possible in order to ensure transmission performance. This results in a reduced performance for non-coherent transmission in scenarios where data is transmitted using larger time-frequency resources. At this time, the larger time-frequency resource may be divided into a plurality of smaller resource blocks, and non-coherent transmission may be performed in each of the smaller resource blocks. However, when the number of divided resource blocks is larger and smaller, the incoherent gain is also smaller, which causes a loss of the incoherent gain.
In view of the foregoing technical problems, an embodiment of the present application provides a data transmission method, which is applied to communication between a sending device and a receiving device. The method is characterized in that a signal carried at a certain resource position in each incoherent resource block is adjusted to be a pilot signal on the basis of incoherent transmission, and incoherent gain is improved by introducing the pilot signal on the basis of not increasing the frequency spectrum overhead by combining the incoherent transmission and coherent transmission, so that the data transmission effect is improved.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
It should be noted that, in the embodiments of the present application, at least one may also be described as one or more, and a plurality may be two, three, four or more, and the embodiments of the present application are not limited.
It should be noted that, in the embodiment of the present application, the communication between the sending device and the receiving device may include, but is not limited to, the following scenarios: communication between a network device and a terminal device, communication between a network device and a network device, communication between a terminal device and a terminal device. The term "communication" may also be described herein as "wireless communication," data transmission, "" information transmission, "or" transmission. Optionally, the sending device and the receiving device may be a scheduling entity and a subordinate entity, for example, a network device and a terminal device, a macro base station and a micro base station, and the like. Optionally, the sending device and the receiving device may be peer entities, for example, a terminal device and a terminal device. The embodiment of the present application does not limit the type of the device.
Fig. 3 is a message interaction diagram of a data transmission method according to an embodiment of the present application. The execution main body related to the present embodiment includes a transmission device and a reception device. The sending device and the receiving device may also be referred to as communication devices or devices. As shown in fig. 3, the data transmission method provided in this embodiment may include:
s301, a sending device divides a time-frequency resource corresponding to data to be transmitted into a plurality of incoherent resource blocks, and each incoherent resource block corresponds to a code word after modulation of the data to be transmitted.
As illustrated with reference to fig. 2 and 4. In fig. 2, it is assumed that 1 RB includes 2 time domain symbols in the time domain and 12 subcarriers, including 24 REs, in the frequency domain. In fig. 4, the time-frequency resources corresponding to the data to be transmitted include 16 RBs, which are respectively labeled as RB1 to RB 16. The transmitting device may divide the 16 RBs into 4 non-coherent resource blocks, each comprising 4 RBs, including 96 REs. For example, non-coherent resource block 1 includes RB1 to RB4, non-coherent resource block 2 includes RB5 to RB8, non-coherent resource block 3 includes RB9 to RB12, and non-coherent resource block 4 includes RB13 to RB 16.
It should be noted that, in this embodiment, the number of the non-coherent resource blocks and the time-frequency domain size of each non-coherent resource block are not limited. Optionally, the time-frequency domain sizes of the plurality of non-coherent resource blocks are the same. Optionally, the sizes of the plurality of non-coherent resource blocks in the time-frequency domain may be different. Optionally, in order to ensure the incoherent gain of the incoherent resource block, the number of the incoherent resource blocks may not exceed a preset upper limit value, and the embodiment does not limit the upper limit value.
By dividing the time-frequency resource corresponding to the data to be transmitted into a plurality of incoherent resource blocks, the channels corresponding to the resources in each incoherent resource block are approximately the same, thereby ensuring the performance of incoherent transmission.
Optionally, in S301, dividing the time-frequency resource corresponding to the data to be transmitted into a plurality of non-coherent resource blocks may include:
and acquiring channel coherence granularity, wherein the channel coherence granularity is used for indicating the maximum time-frequency domain size occupied by the incoherent resource block determined according to the channel coherence time and the channel coherence bandwidth.
And dividing the time-frequency resource into a plurality of non-coherent resource blocks according to the channel coherence granularity.
Specifically, the channel coherence time indicates, in the time domain, the maximum time domain size in which the channels corresponding to the resources in the time-frequency resource block are approximately the same, and the channel coherence bandwidth indicates, in the frequency domain, the maximum frequency domain size in which the channels corresponding to the resources in the time-frequency resource block are approximately the same. The above example is also described as an example. Assuming that the channel coherence time is greater than 2 time domain symbols and the channel coherence bandwidth is greater than 48 subcarriers, the channels corresponding to the non-coherent resource blocks 1-4 are approximately the same. As can be seen, the channel coherence time and the channel coherence bandwidth may indicate the maximum time-frequency domain size occupied by the non-coherent resource block. The incoherent resource blocks are divided by the channel coherent granularity, so that the number of the incoherent resource blocks is reduced, and the incoherent gain is ensured.
Optionally, in an implementation manner, obtaining the channel coherence granularity may include:
and receiving the channel coherence time and the channel coherence bandwidth transmitted by the receiving device.
And acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
Specifically, the receiving device may measure the multipath delay spread of the forward channel to determine the channel coherence bandwidth, determine the channel coherence time according to the moving speed of the receiving device, and send the channel coherence time and the channel coherence bandwidth to the sending device. Accordingly, the transmitting device obtains the channel coherence time and the channel coherence bandwidth from the receiving device to determine the channel coherence granularity.
Optionally, in another implementation, obtaining the channel coherence granularity may include:
and obtaining the channel coherence time and the channel coherence bandwidth by estimating the channel.
And acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
Specifically, the sending device may obtain the channel coherence time and the channel coherence bandwidth by methods such as channel statistical reciprocity, so as to determine the channel coherence granularity.
Optionally, dividing the time-frequency resource into a plurality of non-coherent resource blocks according to the channel coherence granularity may include:
and acquiring a correction coefficient which is greater than 0 and less than or equal to 1.
And according to the correction coefficient and the channel coherence granularity, dividing the time-frequency resource into N first non-coherent resource blocks with the same size and 1 second non-coherent resource block. N is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is larger than or equal to the time-frequency domain size occupied by the second incoherent resource block.
Specifically, the time-frequency resource corresponding to the data to be transmitted may be represented as NFThe first non-coherent resource block may be denoted as NSThe second non-coherent resource block may be denoted as
Figure BDA0002297476790000092
The size of the second non-coherent resource block is
Figure BDA0002297476790000093
The maximum time-frequency domain size occupied by the non-coherent resource block determined by the channel coherence granularity can be represented as NSThe correction coefficient is represented as α. According to the correction coefficient alpha and the channel coherence granularity, the incoherent resource block N 'can be determined through a formula II'CThe size of (2). Non-coherent resource Block N'CMay be a first non-coherent resource block or a second non-coherent resource block.
N'C＝αNCFormula two
The larger the correction coefficient alpha is, the larger the time-frequency domain size of the incoherent resource block is, which is more beneficial to the resolution and detection among constellation points in the incoherent transmission, and the performance of the incoherent transmission is improved. However, as the correction coefficient α increases, the size of the non-coherent resource block is closer to the maximum time-frequency domain size that can be determined by the channel coherence granularity, which may result in a decrease in the non-coherent gain. In practical application, the specific value of the correction coefficient α is not limited in this embodiment, and may be set according to a communication environment.
It should be noted that, in this embodiment, the sizes of the first incoherent resource block and the second incoherent resource block are not limited, and may be set according to different application scenarios.
Optionally, in one implementationIn the first non-coherent resource block NSMay be equal to NSThe number N of the first incoherent resource blocks can be obtained by a formula three. ceil (K) denotes rounding up x. The implementation mode can be applied to the scene of adopting channel coding.
Figure BDA0002297476790000091
Optionally, in another implementation manner, a difference between a time-frequency domain size occupied by the first incoherent resource block and a time-frequency domain size occupied by the second incoherent resource block is smaller than a preset threshold.
The implementation mode can be applied to the scene without adopting channel coding. Without channel coding, the performance of non-coherent transmission is typically limited to the smallest time-frequency domain size of the non-coherent resource block. Therefore, by reducing the difference between the first non-coherent resource block and the second non-coherent resource block, the performance of non-coherent transmission can be improved. Of course, this implementation may also be applied in a scenario that employs channel coding.
It should be noted that, in this embodiment, the value of the preset threshold is not limited.
S302, the sending equipment carries out precoding on the code word corresponding to each incoherent resource block to generate a data frame.
The signal carried at the preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of the receiving device.
It should be noted that, in this embodiment, the preset resource position of each non-coherent resource block is not limited, and the preset resource positions of different non-coherent resource blocks may be the same or different. In this embodiment, the preset pilot signal carried by the preset resource position of each non-coherent resource block is not limited, and the preset pilot signals carried by the preset resource positions of different non-coherent resource blocks may be the same or different.
By adjusting the signal carried on a certain resource position in each incoherent resource block into a pilot signal and introducing the pilot signal on the basis of not increasing the frequency spectrum overhead, the advantages of incoherent transmission and coherent transmission are integrated, the incoherent gain of the incoherent resource block is improved, and the data transmission effect is improved.
And S303, the sending equipment sends the data frame and the demodulation parameters to the receiving equipment.
The demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames.
Accordingly, the receiving device receives the data frame and the demodulation parameter transmitted by the transmitting device. The data frame comprises a plurality of incoherent resource blocks, a signal carried in a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation. The demodulation parameters are used to demodulate signals carried by the data frames.
Optionally, the demodulation parameters may include at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
S304, the receiving device carries out channel estimation according to the preset pilot signal carried by each incoherent resource block to obtain the channel state information corresponding to each incoherent resource block.
Optionally, in an implementation manner, the receiving device may perform channel estimation on each non-coherent resource block separately, perform channel estimation according to a preset pilot signal carried by each non-coherent resource block, and obtain channel state information corresponding to each non-coherent resource block.
Optionally, in another implementation, the receiving device may perform joint channel estimation on at least two non-coherent resource blocks, perform channel estimation according to a preset pilot signal carried by each non-coherent resource block, and obtain channel state information corresponding to each non-coherent resource block.
In this embodiment, the channel estimation method is not limited, and a conventional method of performing channel estimation based on a pilot signal may be used. For example, linear minimum mean square error estimation (LMMSE) is performed based on pilot signals of a plurality of non-coherent resource blocks.
S305, the receiving device demodulates the signal carried by the data frame according to the channel state information and the demodulation parameters corresponding to each incoherent resource block to obtain demodulation data.
It can be seen that, in the data transmission method provided in this embodiment, the sending device divides the time-frequency resource corresponding to the data to be transmitted into a plurality of non-coherent resource blocks, and channels corresponding to resources in each non-coherent resource block are approximately the same. The sending device adjusts the signal carried on a certain resource position in each non-coherent resource block into a pilot signal. Correspondingly, the receiving device can perform channel estimation through the pilot signal in the non-coherent resource block to obtain the channel state information, so as to demodulate data by combining the channel state information on the basis of the non-coherent transmission to obtain the data sent by the sending device. By combining incoherent transmission and coherent transmission, on the basis of not reducing the size of an incoherent resource block and not increasing the frequency spectrum overhead, the demodulation and detection performance of an incoherent signal is improved by introducing a pilot signal, the data transmission effect is improved, and the applicability of the incoherent transmission technology in wireless scenes such as large bandwidth, frequency selection, high mobility and the like is facilitated.
Optionally, in S303, the sending device sends the demodulation parameter to the receiving device, which may include:
and sending the demodulation parameters to the receiving equipment through signaling.
Accordingly, the receiving device may receive the demodulation parameter sent by the sending device through signaling.
The demodulation parameters are transmitted through signaling, and the data transmission throughput rate is ensured.
Fig. 5 is a flowchart of a data transmission method according to an embodiment of the present application. The execution subject of this embodiment is a sending device, and provides an implementation manner of S302 in fig. 3. As shown in fig. 5, precoding a codeword corresponding to each non-coherent resource block to generate a data frame includes:
s501, for each incoherent resource block, a precoding coefficient and a signal component carried by a codeword corresponding to the incoherent resource block at each resource position in the incoherent resource block are obtained.
The precoding coefficient is used for converting a signal component carried by a codeword corresponding to the incoherent resource block at a preset resource position of the incoherent resource block into a preset pilot signal.
S502, according to the pre-coding coefficient, carrying out linear transformation on the signal component carried by the code word corresponding to the non-coherent resource block at each resource position in the non-coherent resource block, and generating a data frame.
Hereinafter, a Single Input Single Output (SISO) system is exemplified. The data transmission method provided in this embodiment may also be applied to a multiple input single output (MIMO) system, and the principle is similar.
Suppose that the preset resource location of the nth non-coherent resource block is denoted as mn,pIn the RE position mn,pThe pilot signal carried is denoted pn. Optionally, a pilot signal pnThe modulus value is normalized. The linear transformation can be implemented by equation four.
Figure BDA0002297476790000111
Wherein x isnIndicating the signal precoded by the nth non-coherent resource block. a isnRepresenting the precoding coefficients.
Figure BDA0002297476790000112
Indicating that the nth non-coherent resource block is not pre-coded, corresponding to
Figure BDA0002297476790000113
A certain column of vectors.
Figure BDA0002297476790000114
Is represented by NS2 eachNBThe set of incoherent constellations, also called codeword set or codebook, consisting of the dimensional column vectorsAnd (4) collecting. N is a radical ofBRepresenting the number of information bits carried by the non-coherent resource block.
Figure BDA0002297476790000115
RE position m before representing n non-coherent resource block not pre-codingn,pThe signal component carried. And | x | represents the complex x-mode value.
Since the linear complex multiplication of a scalar (precoding coefficient) does not reduce the distance performance between the noncoherent modulation constellation points, such as the chord distance, the sending device performs precoding on the noncoherent resource block, so that the signal carried on the preset resource position in the noncoherent resource block is adjusted to the pilot signal, and the noncoherent gain of the noncoherent modulation is ensured.
Fig. 6 is another flowchart of a data transmission method according to an embodiment of the present application. The execution subject of this embodiment is a receiving device, and provides an implementation manner of S305 in fig. 3. As shown in fig. 6, demodulating a signal carried by a data frame according to channel state information and demodulation parameters corresponding to each non-coherent resource block to obtain demodulated data may include:
s601, for each incoherent resource block, a candidate target signal set is obtained according to the pre-allocated code word set, the code word corresponding to the incoherent resource block and the channel state information.
S602, carrying out maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the receiving signal corresponding to the incoherent resource block, and obtaining demodulation data.
Hereinafter, a SISO system will be exemplified. In this example, the maximum likelihood estimation for the coherence of the incoherent transmission signal according to the CSI information may be applied to a scenario with a high channel estimation accuracy, for example, a high snr working scenario.
First, according to equation five, the noncoherent modulation constellation (weighted by pilot signal) of each noncoherent resource block is summed with
Figure BDA0002297476790000116
Performing vector cross product as a passing channelThe transmitted candidate target signal.
Figure BDA0002297476790000121
Wherein the content of the first and second substances,
Figure BDA0002297476790000122
and the vector is formed by channel coefficient estimation values corresponding to all REs of the nth non-coherent resource block.
Then, a likelihood value or a metric value equivalent or simplified to the likelihood value of each candidate target signal to the received signal is estimated. Alternatively, an exemplary equivalent metric value may be the inverse of the euclidean distance between the target signal and the received signal, see equation six.
Figure BDA0002297476790000123
Wherein, ynAnd represents a received signal vector corresponding to the nth non-coherent resource block.
And finally, taking the non-coherent modulation constellation corresponding to the maximum metric value as a decision value, referring to a formula seven.
Figure BDA0002297476790000124
Optionally, the data transmission method provided in this embodiment may further include:
a statistical covariance of the channel estimation error is obtained.
Correspondingly, in S602, performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data, which may include:
and performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data.
Hereinafter, a SISO system will be exemplified. In this example, according to CSI information (channel coefficient estimation vector) and statistical covariance of channel estimation errors (also referred to as channel estimation error covariance), a conditional statistical information-assisted Global Likelihood Ratio Test (GLRT) estimation is performed on an incoherent transmission signal, which may be applicable to a scenario with limited channel estimation accuracy, such as a low snr working scenario.
First, according to equation eight, the conditional mean component of the received signal is obtained using the CSI information. Alternatively, an exemplary method is to perform vector cross product on the non-coherent modulation constellation and the channel estimate.
Figure BDA0002297476790000125
Wherein, muyxThe average value of the received signal condition when the incoherent modulation constellation is x is shown, and p represents a pilot signal corresponding to the incoherent resource block. The subscript n of the non-coherent resource block is omitted here for convenience of representation. Optionally, the formula nine may also be applied to a scenario of performing joint detection on multiple non-coherent resource blocks.
The resulting mean component is then removed from the received signal by linear subtraction. See equation nine.
Figure BDA0002297476790000126
Then, for the received signal (each non-coherent modulation constellation is different) after the mean component is removed, the channel estimation error covariance is used to obtain the conditional probability of the received signal corresponding to each non-coherent modulation constellation, or the metric value equivalent to or simplified from the conditional probability of the received signal. Alternatively, an exemplary equivalent metric value may be a received signal after the non-coherent modulation constellation and the mean component are removed, or an inverse euclidean distance of the received signal. See equation ten.
Figure BDA0002297476790000127
Wherein the content of the first and second substances,
Figure BDA0002297476790000128
represents NSDimensional channel estimation error covariance matrix. Optionally, the formula ten may also be applied to a scenario of performing joint detection on multiple non-coherent resource blocks, so as to further improve performance, at this time,
Figure BDA0002297476790000129
corresponds to NSAnd (3) an N-dimensional channel estimation error covariance matrix.
Finally, the non-coherent modulation constellation corresponding to the maximum metric value is used as a decision value, which can be referred to the formula seven above.
Fig. 7 is a schematic structural diagram of a sending device according to an embodiment of the present application. The sending device provided in this embodiment may perform operations performed by the sending device in the method embodiments of the present application. As shown in fig. 7, the sending apparatus provided in this embodiment may include:
the allocation module 71 is configured to divide a time-frequency resource corresponding to data to be transmitted into multiple non-coherent resource blocks, where each non-coherent resource block corresponds to a codeword obtained by modulating the data to be transmitted;
a precoding module 72, configured to precode a codeword corresponding to each non-coherent resource block, so as to generate a data frame; a signal carried at a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of receiving equipment;
a sending module 73, configured to send the data frame and the demodulation parameters to the receiving device; the demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames.
Optionally, the pre-coding module 72 is specifically configured to:
for each incoherent resource block, acquiring a precoding coefficient and a signal component carried by a codeword corresponding to the incoherent resource block at each resource position in the incoherent resource block; the precoding coefficient is used for converting a signal component carried by a code word corresponding to the incoherent resource block at a preset resource position of the incoherent resource block into the preset pilot signal;
and performing linear transformation on the signal component carried by the code word corresponding to the incoherent resource block at each resource position in the incoherent resource block according to the precoding coefficient to generate the data frame.
Optionally, the allocating module 71 is specifically configured to:
acquiring channel coherence granularity, wherein the channel coherence granularity is used for indicating the maximum time-frequency domain size occupied by a non-coherent resource block determined according to channel coherence time and channel coherence bandwidth;
and dividing the time-frequency resource into the plurality of non-coherent resource blocks according to the channel coherence granularity.
Optionally, the allocating module 71 is specifically configured to:
acquiring a correction coefficient, wherein the correction coefficient is greater than 0 and less than or equal to 1;
dividing the time-frequency resource into N first non-coherent resource blocks with the same size and 1 second non-coherent resource block according to the correction coefficient and the channel coherence granularity; n is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is larger than or equal to the time-frequency domain size occupied by the second incoherent resource block.
Optionally, a difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is smaller than a preset threshold.
Optionally, the allocating module 71 is specifically configured to:
receiving, by a receiving module, the channel coherence time and the channel coherence bandwidth transmitted by the receiving device;
acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth;
alternatively, the first and second electrodes may be,
obtaining the channel coherence time and the channel coherence bandwidth by estimating a channel;
and acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
Optionally, the demodulation parameter includes at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
Optionally, the sending module 73 is specifically configured to:
and sending the demodulation parameters to the receiving equipment through signaling.
The sending device provided in this embodiment may perform operations performed by the sending device in the method embodiments of the present application, and the technical principle and the technical effect are similar, which are not described herein again.
Fig. 8 is a schematic structural diagram of a receiving device according to an embodiment of the present application. The receiving device provided in this embodiment may perform operations performed by the receiving device in the method embodiments of the present application. As shown in fig. 8, the receiving apparatus provided in this embodiment may include:
a receiving module 81, configured to receive a data frame and a demodulation parameter sent by a sending device; the data frame comprises a plurality of incoherent resource blocks, a signal carried in a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation; the demodulation parameters are used for demodulating signals carried by the data frames;
a channel estimation module 82, configured to perform channel estimation according to a preset pilot signal carried by each non-coherent resource block, to obtain channel state information corresponding to each non-coherent resource block;
the demodulation module 83 is configured to demodulate a signal carried by the data frame according to the channel state information corresponding to each non-coherent resource block and the demodulation parameter, so as to obtain demodulation data.
Optionally, the demodulation parameter includes at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
Optionally, the demodulation module 83 is specifically configured to:
for each incoherent resource block, obtaining a candidate target signal set according to a pre-allocated code word set, a code word corresponding to the incoherent resource block and channel state information;
and performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
Optionally, the demodulation module 83 is further configured to:
obtaining a statistical covariance of channel estimation errors;
the demodulation module 83 is specifically configured to:
and performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
Optionally, the receiving module 81 is specifically configured to:
and receiving the demodulation parameters sent by the sending equipment through signaling.
The receiving device provided in this embodiment may perform operations performed by the receiving device in the method embodiments of the present application, and the technical principle and the technical effect are similar, which are not described herein again.
It should be understood that the division of the modules in the above apparatus is only a division of logical functions, and the actual implementation may be wholly or partially integrated into one physical entity or may be physically separated. And the modules in the device can be realized in the form of calling by the processing element through software, or in the form of hardware, or part of the modules can be realized in the form of calling by the processing element through software, or part of the modules can be realized in the form of hardware. For example, each module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory in the form of a program, and a function of the module may be called and executed by a processing element of the apparatus. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may in turn be a processor, which may be an integrated circuit having signal processing capabilities. In the implementation process, the steps of the method or the modules above may be implemented by integrated logic circuits of hardware in a processor element or in a form called by software through the processor element.
Fig. 9 is a schematic structural diagram of an apparatus provided in an embodiment of the present application. As shown in fig. 9, the device provided in this embodiment may include a processor 91, a memory 92, and a transceiver 93, where the transceiver 93 is configured to receive data or send data, the memory 92 is configured to store instructions, and the processor 91 is configured to execute the instructions stored in the memory 92, and is configured to execute operations executed by a sending device or a receiving device in the embodiments of the methods in this application, and the technical principles and technical effects are similar and are not described herein again.
It should be understood that the processor may be a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or the like, that may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in a processor.
In the embodiment of the present application, the memory may be a nonvolatile memory, such as a Hard Disk Drive (HDD) or a solid-state drive (SSD), and may also be a volatile memory, for example, a Random Access Memory (RAM). The memory is any medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory in the embodiments of the present application may also be circuitry or any other device capable of performing a storage function for storing program instructions and/or data.

Claims (28)

1. A method of data transmission, comprising:
dividing a time frequency resource corresponding to data to be transmitted into a plurality of incoherent resource blocks, wherein each incoherent resource block corresponds to a code word after modulation of the data to be transmitted;
precoding a code word corresponding to each incoherent resource block to generate a data frame; a signal carried at a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of receiving equipment;
transmitting the data frame and demodulation parameters to the receiving device; the demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames.
2. The method of claim 1, wherein the precoding the codeword corresponding to each non-coherent resource block to generate the data frame comprises:
for each incoherent resource block, acquiring a precoding coefficient and a signal component carried by a codeword corresponding to the incoherent resource block at each resource position in the incoherent resource block; the precoding coefficient is used for converting a signal component carried by a code word corresponding to the incoherent resource block at a preset resource position of the incoherent resource block into the preset pilot signal;
and performing linear transformation on the signal component carried by the code word corresponding to the incoherent resource block at each resource position in the incoherent resource block according to the precoding coefficient to generate the data frame.
3. The method of claim 1, wherein the dividing time-frequency resources corresponding to the data to be transmitted into a plurality of non-coherent resource blocks comprises:
acquiring channel coherence granularity, wherein the channel coherence granularity is used for indicating the maximum time-frequency domain size occupied by a non-coherent resource block determined according to channel coherence time and channel coherence bandwidth;
and dividing the time-frequency resource into the plurality of non-coherent resource blocks according to the channel coherence granularity.
4. The method of claim 3, wherein the partitioning the time-frequency resource into the plurality of non-coherent resource blocks according to the channel coherence granularity comprises:
acquiring a correction coefficient, wherein the correction coefficient is greater than 0 and less than or equal to 1;
dividing the time-frequency resource into N first non-coherent resource blocks with the same size and 1 second non-coherent resource block according to the correction coefficient and the channel coherence granularity; n is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is larger than or equal to the time-frequency domain size occupied by the second incoherent resource block.
5. The method of claim 4, wherein a difference between a time-frequency domain size occupied by the first non-coherent resource block and a time-frequency domain size occupied by the second non-coherent resource block is smaller than a preset threshold.
6. The method of claim 3, wherein obtaining the channel coherence granularity comprises:
receiving the channel coherence time and the channel coherence bandwidth transmitted by the receiving device;
acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth;
alternatively, the first and second electrodes may be,
obtaining the channel coherence time and the channel coherence bandwidth by estimating a channel;
and acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
7. The method according to any of claims 1 to 6, wherein the demodulation parameters comprise at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
8. The method of any of claims 1 to 6, wherein sending demodulation parameters to the receiving device comprises:
and sending the demodulation parameters to the receiving equipment through signaling.
9. A method of data transmission, comprising:
receiving a data frame and a demodulation parameter sent by sending equipment; the data frame comprises a plurality of incoherent resource blocks, a signal carried in a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation; the demodulation parameters are used for demodulating signals carried by the data frames;
performing channel estimation according to a preset pilot signal carried by each incoherent resource block to obtain channel state information corresponding to each incoherent resource block;
and demodulating the signal carried by the data frame according to the channel state information corresponding to each incoherent resource block and the demodulation parameter to obtain demodulation data.
10. The method of claim 9, wherein the demodulation parameters comprise at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
11. The method according to claim 10, wherein the demodulating the signal carried by the data frame according to the channel state information and the demodulation parameter corresponding to each non-coherent resource block to obtain demodulated data comprises:
for each incoherent resource block, obtaining a candidate target signal set according to a pre-allocated code word set, a code word corresponding to the incoherent resource block and channel state information;
and performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
12. The method of claim 11, further comprising:
obtaining a statistical covariance of channel estimation errors;
the performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data includes:
and performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
13. The method according to any one of claims 9 to 12, wherein receiving the demodulation parameters transmitted by the transmitting device comprises:
and receiving the demodulation parameters sent by the sending equipment through signaling.
14. A transmitting device, comprising:
the distribution module is used for dividing the time-frequency resource corresponding to the data to be transmitted into a plurality of incoherent resource blocks, and each incoherent resource block corresponds to a code word after the data to be transmitted is modulated;
the precoding module is used for precoding the code words corresponding to each incoherent resource block to generate a data frame; a signal carried at a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation of receiving equipment;
a sending module, configured to send the data frame and the demodulation parameter to the receiving device; the demodulation parameters are used for the receiving device to demodulate the signals carried by the data frames.
15. The transmitting device of claim 14, wherein the precoding module is specifically configured to:
for each incoherent resource block, acquiring a precoding coefficient and a signal component carried by a codeword corresponding to the incoherent resource block at each resource position in the incoherent resource block; the precoding coefficient is used for converting a signal component carried by a code word corresponding to the incoherent resource block at a preset resource position of the incoherent resource block into the preset pilot signal;
and performing linear transformation on the signal component carried by the code word corresponding to the incoherent resource block at each resource position in the incoherent resource block according to the precoding coefficient to generate the data frame.
16. The sending device of claim 14, wherein the assignment module is specifically configured to:
acquiring channel coherence granularity, wherein the channel coherence granularity is used for indicating the maximum time-frequency domain size occupied by a non-coherent resource block determined according to channel coherence time and channel coherence bandwidth;
and dividing the time-frequency resource into the plurality of non-coherent resource blocks according to the channel coherence granularity.
17. The sending device of claim 16, wherein the assignment module is specifically configured to:
acquiring a correction coefficient, wherein the correction coefficient is greater than 0 and less than or equal to 1;
dividing the time-frequency resource into N first non-coherent resource blocks with the same size and 1 second non-coherent resource block according to the correction coefficient and the channel coherence granularity; n is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is larger than or equal to the time-frequency domain size occupied by the second incoherent resource block.
18. The transmitting device of claim 17, wherein a difference between a size of a time-frequency domain occupied by the first non-coherent resource block and a size of a time-frequency domain occupied by the second non-coherent resource block is smaller than a preset threshold.
19. The sending device of claim 16, wherein the assignment module is specifically configured to:
receiving, by a receiving module, the channel coherence time and the channel coherence bandwidth transmitted by the receiving device;
acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth;
alternatively, the first and second electrodes may be,
obtaining the channel coherence time and the channel coherence bandwidth by estimating a channel;
and acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
20. The transmitting device according to any of claims 14 to 19, wherein the demodulation parameters comprise at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
21. The sending device according to any one of claims 14 to 19, wherein the sending module is specifically configured to:
and sending the demodulation parameters to the receiving equipment through signaling.
22. A receiving device, comprising:
the receiving module is used for receiving the data frame and the demodulation parameters sent by the sending equipment; the data frame comprises a plurality of incoherent resource blocks, a signal carried in a preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation; the demodulation parameters are used for demodulating signals carried by the data frames;
the channel estimation module is used for carrying out channel estimation according to a preset pilot signal carried by each incoherent resource block to obtain channel state information corresponding to each incoherent resource block;
and the demodulation module is used for demodulating the signals carried by the data frames according to the channel state information corresponding to each incoherent resource block and the demodulation parameters to obtain demodulation data.
23. The receiving device of claim 22, wherein the demodulation parameters comprise at least one of: the method comprises the following steps of counting the number of incoherent resource blocks, pre-allocating a code word set, a code word corresponding to each incoherent resource block, a preset resource position of each incoherent resource block, a preset pilot signal loaded by the preset resource position, and the time-frequency domain size occupied by each incoherent resource block.
24. The receiving device according to claim 23, wherein the demodulation module is specifically configured to:
for each incoherent resource block, obtaining a candidate target signal set according to a pre-allocated code word set, a code word corresponding to the incoherent resource block and channel state information;
and performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
25. The receiving device of claim 24, wherein the demodulation module is further configured to:
obtaining a statistical covariance of channel estimation errors;
the demodulation module is specifically configured to:
and performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
26. The receiving device according to any one of claims 22 to 25, wherein the receiving module is specifically configured to:
and receiving the demodulation parameters sent by the sending equipment through signaling.
27. An apparatus comprising a processor and a memory, the processor being configured to invoke a program stored in the memory to perform the data transfer method of any of claims 1 to 13.
28. A computer-readable storage medium having stored thereon instructions which, when run on a computer or processor, carry out a data transmission method according to any one of claims 1 to 13.
CN201911208490.3A 2019-11-30 2019-11-30 Data transmission method, transmitting device and receiving device Active CN112887068B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201911208490.3A CN112887068B (en) 2019-11-30 2019-11-30 Data transmission method, transmitting device and receiving device
PCT/CN2020/128080 WO2021104020A1 (en) 2019-11-30 2020-11-11 Data transmission method, sending device and receiving device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911208490.3A CN112887068B (en) 2019-11-30 2019-11-30 Data transmission method, transmitting device and receiving device

Publications (2)

Publication Number Publication Date
CN112887068A CN112887068A (en) 2021-06-01
CN112887068B true CN112887068B (en) 2022-02-25

Family

ID=76039258

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911208490.3A Active CN112887068B (en) 2019-11-30 2019-11-30 Data transmission method, transmitting device and receiving device

Country Status (2)

Country Link
CN (1) CN112887068B (en)
WO (1) WO2021104020A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117527141A (en) * 2022-08-05 2024-02-06 华为技术有限公司 Data transmission method and related product

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016140292A1 (en) * 2015-03-02 2016-09-09 Mitsubishi Electric Corporation System and method for communicating data symbols via wireless doubly-selective channels
CN106105075A (en) * 2014-03-21 2016-11-09 三菱电机株式会社 Transmit the method and system of data symbol in a network
CN108288985A (en) * 2017-01-10 2018-07-17 电信科学技术研究院 A kind of data transfer control method, network side equipment and terminal
CN108540179A (en) * 2017-03-06 2018-09-14 北京信威通信技术股份有限公司 A kind of incoherent multi-antenna transmission method and device
CN109792758A (en) * 2016-09-30 2019-05-21 高通股份有限公司 Device and method for the uplink control channel design in the conventional burst of new radio (NR) network
CN110278537A (en) * 2019-07-11 2019-09-24 北京邮电大学 A kind of incoherent transmission plan of safety for move vehicle system

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8331488B2 (en) * 2009-10-13 2012-12-11 Qualcomm Incorporated Methods and apparatus for communicating information using non-coherent and coherent modulation
CN103795509A (en) * 2012-11-02 2014-05-14 北京三星通信技术研究有限公司 Method and device for transmitting hybrid automatic repeat request (HARQ) indication information

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106105075A (en) * 2014-03-21 2016-11-09 三菱电机株式会社 Transmit the method and system of data symbol in a network
WO2016140292A1 (en) * 2015-03-02 2016-09-09 Mitsubishi Electric Corporation System and method for communicating data symbols via wireless doubly-selective channels
CN109792758A (en) * 2016-09-30 2019-05-21 高通股份有限公司 Device and method for the uplink control channel design in the conventional burst of new radio (NR) network
CN108288985A (en) * 2017-01-10 2018-07-17 电信科学技术研究院 A kind of data transfer control method, network side equipment and terminal
CN108540179A (en) * 2017-03-06 2018-09-14 北京信威通信技术股份有限公司 A kind of incoherent multi-antenna transmission method and device
CN110278537A (en) * 2019-07-11 2019-09-24 北京邮电大学 A kind of incoherent transmission plan of safety for move vehicle system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Link Analysis and Multiplexing Capability for UL ACK;Qualcomm Europe;《3GPP TSG RAN WG1 #48bis》;20070330;全文 *
RAN4#88bis Meeting report;Approval;《3GPP TSG-RAN WG4 Meeting #89》;20181116;全文 *

Also Published As

Publication number Publication date
WO2021104020A1 (en) 2021-06-03
CN112887068A (en) 2021-06-01

Similar Documents

Publication Publication Date Title
US10958318B2 (en) Apparatus and method for uplink transmission in wireless communication system
US11362757B2 (en) Apparatus including a transmission processing unit that generates transmission signal sequences of multiple power layers
JP2019537373A (en) Reference signal transmission method, transmitter and receiver
KR20140041884A (en) Transmit diversity method, and related device and system
US20150245380A1 (en) Device and Method for Processing Downlink Control Information
EP3800945B1 (en) Power allocation method and related device
EP3355499B1 (en) Apparatus, method, and program
US20200236683A1 (en) Device and method for associating resource information with channel metric information in wireless networks
WO2020024891A1 (en) Method and apparatus for processing reference signal
US10064197B2 (en) Network assisted interference suppression
CN112887068B (en) Data transmission method, transmitting device and receiving device
WO2015001982A1 (en) Terminal device and receiving method
EP2661919A1 (en) Methods of transmitting coordinate multiple point data based on orthogonal covering codes
CN112153690B (en) Communication method and communication device
WO2017012448A1 (en) Signal transmission and demodulation method, device, and system
US11018744B2 (en) Block-diagonalization based beamforming
WO2015081108A1 (en) System and method for a scale-invariant symbol demodulator
JP6279207B2 (en) Reception apparatus and interference noise power estimation method
WO2024067807A1 (en) Communication method and apparatus, and storage medium
WO2015001981A1 (en) Terminal device, base station device, and receiving method
WO2021196048A1 (en) Data transmission method and related device
WO2024016108A1 (en) System and method for reference signal configuration, transmission and reception
WO2022141579A1 (en) Method and apparatus for determining reference signal sequence
WO2015016193A1 (en) Terminal device, base-station device, and reception method
WO2023274538A1 (en) A method for determining receiver weights

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant