CN103888213A - Precoding method and device - Google Patents
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Abstract
本发明的实施例公开一种预编码方法和设备,涉及通信领域,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益,该方法包括:获取下行信道矩阵;获取下行信道矩阵对应的初始权值;根据下行信道矩阵及初始权值获取均衡后的等效信道矩阵并根据等效信道矩阵获取下一等效信道矩阵对应的权值;根据等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下行信道矩阵对应的权值满足预设的收敛条件。本发明的实施例应用于信道预编码。
The embodiment of the present invention discloses a precoding method and device, which relate to the communication field, are not limited by the number of antennas of the receiving end device, can reduce the computational complexity of channel precoding, and ensure the transmission performance gain of the channel. Including: obtaining the downlink channel matrix; obtaining the initial weight value corresponding to the downlink channel matrix; obtaining the equalized equivalent channel matrix according to the downlink channel matrix and the initial weight value, and obtaining the weight value corresponding to the next equivalent channel matrix according to the equivalent channel matrix ; According to the equivalent channel matrix and the weight corresponding to the next equivalent channel matrix, iteratively calculate the weight corresponding to the downlink channel matrix until the preset number of iterations is satisfied or the weight corresponding to the calculated downlink channel matrix meets the preset the convergence condition. Embodiments of the present invention are applied to channel precoding.
Description
技术领域technical field
本发明涉及通信领域,尤其涉及一种预编码方法和设备。The present invention relates to the communication field, in particular to a precoding method and equipment.
背景技术Background technique
在下行多用户多入多出(Multi-User Multiple-InputMultiple-Output,简称MU-MIMO)系统中,基站在相同的时频域资源上向多个用户发送不同的数据,此时协作用户间存在共信道干扰(Co-Channel Interference,简称CCI),理论上,希望通过合理设计发送信号以消除用户间干扰(Multi-User Interference,简称MUI)。若发送端可以获得下行CSI,则可以知道每个用户受到干扰情况,并通过合理的预编码方式消除多用户间的干扰。In the downlink Multi-User Multiple-Input Multiple-Output (MU-MIMO for short) system, the base station sends different data to multiple users on the same time-frequency domain resources, and there is Co-Channel Interference (CCI for short), theoretically, it is hoped to eliminate inter-user interference (Multi-User Interference, MUI for short) by rationally designing the transmission signal. If the transmitting end can obtain the downlink CSI, it can know the interference situation of each user, and eliminate the interference among multiple users through a reasonable precoding method.
在现有的技术中主流采用的技术有三种,第一种为直接信道求逆法(Zero Forcing,简称ZF),该方法的思想是直接将接收侧与用户终端间的干扰置零,但是这种方法对接收侧的接收天线数有限制,接收天线数超过阈值时性能会严重下降;第二种为信号泄露噪声比(Signal-to-leakage-and-noise Ratio,简称SLNR)方法,该方法对接收侧的接收天线数没有限制,但需要获取接收侧用户终端的噪声功率,且高信噪比时性能增益下降严重;第三种方法为基于迫零的迭代方案,为根据系统的下行信道矩阵初始权值进行迭代计算获取下次发射对应的下行信道采用的预编码矩阵,这种方法在每次迭代过程中均需特征值分解,计算复杂度高。There are three mainstream technologies used in the existing technologies. The first one is the direct channel inversion method (Zero Forcing, referred to as ZF). The idea of this method is to directly set the interference between the receiving side and the user terminal to zero, but this The first method has a limit on the number of receiving antennas on the receiving side, and the performance will seriously degrade when the number of receiving antennas exceeds the threshold; the second method is the Signal-to-leakage-and-noise Ratio (SLNR) method, which There is no limit to the number of receiving antennas on the receiving side, but it is necessary to obtain the noise power of the user terminal on the receiving side, and the performance gain drops seriously when the signal-to-noise ratio is high; the third method is an iterative scheme based on zero forcing, which is based on the downlink channel of the system The initial weight of the matrix is iteratively calculated to obtain the precoding matrix used by the downlink channel corresponding to the next transmission. This method requires eigenvalue decomposition in each iteration process, and the computational complexity is high.
在现有技术提供的信道预编码方式中,发明人发现现有技术中发射端设备在信道预编码的过程对接收端设备的天线数有限制,此外计算复杂度较高,且不能保证信道发射性能增益。In the channel precoding method provided by the prior art, the inventors found that the channel precoding process of the transmitting end device in the prior art has a limit on the number of antennas of the receiving end device. In addition, the calculation complexity is high, and the channel transmission cannot be guaranteed. performance gain.
发明内容Contents of the invention
本发明的实施例提供一种预编码方法和设备,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The embodiments of the present invention provide a precoding method and device, which are not limited by the number of antennas of the receiving end device, can reduce the computational complexity of channel precoding, and ensure the transmission performance gain of the channel.
为达到上述目的,本发明的实施例采用如下技术方案:In order to achieve the above object, embodiments of the present invention adopt the following technical solutions:
第一方面,提供一种预编码方法,包括:In the first aspect, a precoding method is provided, including:
获取下行信道矩阵;Obtain the downlink channel matrix;
获取所述下行信道矩阵对应的初始权值;Obtain an initial weight corresponding to the downlink channel matrix;
根据所述下行信道矩阵及所述初始权值获取均衡后的等效信道矩阵并根据所述等效信道矩阵获取下一等效信道矩阵对应的权值;Obtain an equalized equivalent channel matrix according to the downlink channel matrix and the initial weight value, and obtain a weight value corresponding to the next equivalent channel matrix according to the equivalent channel matrix;
根据所述等效信道矩阵及所述下一等效信道矩阵对应的权值进行迭代计算得到所述下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的所述下行信道矩阵对应的权值满足预设的收敛条件。Perform iterative calculation according to the equivalent channel matrix and the weight corresponding to the next equivalent channel matrix to obtain the weight corresponding to the downlink channel matrix until the preset number of iterations is satisfied or the calculated downlink channel matrix is obtained. The corresponding weights satisfy the preset convergence conditions.
在第一种可能的实现方式中,结合第一方面,所述获取所述下行信道矩阵对应的初始权值,包括:In a first possible implementation manner, in combination with the first aspect, the acquiring the initial weight corresponding to the downlink channel matrix includes:
对所述下行信道矩阵进行奇异值分解;performing singular value decomposition on the downlink channel matrix;
对分解后的所述下行信道矩阵的右奇异向量迫零获取所述下行信道矩阵对应的初始权值;Zero-forcing the right singular vector of the decomposed downlink channel matrix to obtain an initial weight corresponding to the downlink channel matrix;
或者,or,
将分解后的所述下行信道矩阵的非零右奇异向量作为所述下行信道矩阵对应的初始权值。The decomposed non-zero right singular vector of the downlink channel matrix is used as the initial weight corresponding to the downlink channel matrix.
在第二种可能的实现方式中,结合第一方面,所述获取所述下行信道矩阵对应的初始权值,包括:In a second possible implementation manner, in combination with the first aspect, the acquiring the initial weight corresponding to the downlink channel matrix includes:
根据所述下行信道矩阵获取下行信道协方差矩阵;Obtaining a downlink channel covariance matrix according to the downlink channel matrix;
将所述下行信道协方差矩阵进行特征值分解;performing eigenvalue decomposition on the downlink channel covariance matrix;
对分解后的所述下行信道协方差矩阵的特征值向量迫零获取所述下行信道矩阵对应的初始权值;Forcing the eigenvalue vector of the decomposed downlink channel covariance matrix to zero to obtain the initial weight corresponding to the downlink channel matrix;
或者,or,
将分解后的所述下行信道协方差矩阵的非零特征值向量作为所述下行信道矩阵对应的初始权值。The decomposed non-zero eigenvalue vector of the downlink channel covariance matrix is used as the initial weight value corresponding to the downlink channel matrix.
在第三种可能的实现方式中,结合第一方面,所述根据所述下行信道矩阵及所述初始权值获取均衡后的等效信道矩阵并根据所述等效信道矩阵获取下一等效信道矩阵对应的权值,包括:In a third possible implementation manner, in combination with the first aspect, the equalized equivalent channel matrix is obtained according to the downlink channel matrix and the initial weight value, and the next equivalent channel matrix is obtained according to the equivalent channel matrix. The weight corresponding to the channel matrix, including:
根据所述下行信道协方差矩阵及所述初始权值获取均衡后的等效信道矩阵;Obtaining an equalized equivalent channel matrix according to the downlink channel covariance matrix and the initial weight;
根据所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight corresponding to the next equivalent channel matrix is obtained by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
在第四种可能的实现方式中,结合第二种可能的实现方式,所述根据所述下行信道矩阵及所述初始权值获取均衡后的等效信道矩阵并根据所述等效信道矩阵获取下一等效信道矩阵对应的权值,包括:In the fourth possible implementation, in combination with the second possible implementation, the equalized equivalent channel matrix is obtained according to the downlink channel matrix and the initial weight value, and the equalized equivalent channel matrix is obtained according to the equivalent channel matrix. The weight corresponding to the next equivalent channel matrix, including:
根据所述下行信道矩阵获取下行信道协方差矩阵;Obtaining a downlink channel covariance matrix according to the downlink channel matrix;
根据所述下行信道协方差矩阵及所述初始权值获取均衡后的等效信道矩阵;Obtaining an equalized equivalent channel matrix according to the downlink channel covariance matrix and the initial weight;
根据所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight corresponding to the next equivalent channel matrix is obtained by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
在第五种可能的实现方式中,结合第一方面,所述根据所述下行信道矩阵及所述初始权值获取均衡后的等效信道矩阵并根据所述等效信道矩阵获取下一等效信道矩阵对应的权值,包括:In a fifth possible implementation manner, in combination with the first aspect, the equalized equivalent channel matrix is obtained according to the downlink channel matrix and the initial weight value, and the next equivalent channel matrix is obtained according to the equivalent channel matrix. The weight corresponding to the channel matrix, including:
根据所述初始权值计算每个用户终端的等效信道矩阵;calculating an equivalent channel matrix for each user terminal according to the initial weight;
根据所述每个用户终端的等效信道矩阵和所述下行信道矩阵获取所述均衡后的等效信道矩阵;Obtaining the equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal and the downlink channel matrix;
根据所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight corresponding to the next equivalent channel matrix is obtained by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
在第六种可能的实现方式中,结合第一方面,所述根据所述下行信道矩阵及所述初始权值获取均衡后的等效信道矩阵并根据所述等效信道矩阵获取下一等效信道矩阵对应的权值,包括:In a sixth possible implementation manner, in combination with the first aspect, the equalized equivalent channel matrix is obtained according to the downlink channel matrix and the initial weight value, and the next equivalent channel matrix is obtained according to the equivalent channel matrix. The weight corresponding to the channel matrix, including:
根据所述初始权值计算每个用户终端的等效信道矩阵;calculating an equivalent channel matrix for each user terminal according to the initial weight;
根据所述每个用户终端的等效信道矩阵和所述每个用户终端反馈的干扰噪声协方差矩阵获取所述均衡后的等效信道矩阵;Obtaining the equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal and the interference noise covariance matrix fed back by each user terminal;
根据所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight corresponding to the next equivalent channel matrix is obtained by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
在第七种可能的实现方式中,结合第一方面或第一种至第六种可能的实现方式中的任一种可能的实现方式,根据所述等效矩阵及所述下一等效信道矩阵对应的权值进行迭代计算得到下次下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下次下行信道矩阵对应的权值收敛满足预设的收敛条件前,还包括:In a seventh possible implementation, in combination with the first aspect or any one of the first to sixth possible implementations, according to the equivalent matrix and the next equivalent channel The weight corresponding to the matrix is iteratively calculated to obtain the weight corresponding to the next downlink channel matrix until the preset number of iterations is satisfied or the calculated weight corresponding to the next downlink channel matrix converges to meet the preset convergence condition, including :
获取用户终端发送的终端接收机类型;Obtain the terminal receiver type sent by the user terminal;
将所述终端接收机类型对应的迭代次数设置为所述预设的迭代次数。Set the number of iterations corresponding to the terminal receiver type as the preset number of iterations.
在第八种可能的实现方式中,结合第七种可能的实现方式,若不能获取所述终端接收机类型,则根据默认的用户终端的终端接收机类型将所述预设的迭代次数设置为默认迭代次数。In the eighth possible implementation manner, in conjunction with the seventh possible implementation manner, if the terminal receiver type cannot be obtained, the preset number of iterations is set to The default number of iterations.
第二方面,提供一种编码设备,其特征在于,包括:In a second aspect, an encoding device is provided, characterized in that it includes:
信道采集单元,用于获取下行信道矩阵;a channel acquisition unit, configured to acquire a downlink channel matrix;
初始化单元,用于获取所述信道采集单元转发的所述下行信道矩阵对应的初始权值;an initialization unit, configured to obtain an initial weight corresponding to the downlink channel matrix forwarded by the channel acquisition unit;
迭代单元,用于根据所述信道采集单元转发的所述下行信道矩阵及所述初始化单元转发的所述初始权值获取均衡后的等效信道矩阵并根据所述等效信道矩阵获取的下一等效信道矩阵对应的权值;并根据所述等效信道矩阵及所述下一等效信道矩阵对应的权值进行迭代计算得到所述下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的所述下行信道矩阵对应的权值满足预设的收敛条件。an iteration unit, configured to obtain an equalized equivalent channel matrix according to the downlink channel matrix forwarded by the channel acquisition unit and the initial weight value forwarded by the initialization unit, and obtain the next equalized channel matrix according to the equivalent channel matrix. The weight corresponding to the equivalent channel matrix; and perform iterative calculation according to the weight corresponding to the equivalent channel matrix and the next equivalent channel matrix to obtain the weight corresponding to the downlink channel matrix until the preset iteration is satisfied The number of times or the calculated weight corresponding to the downlink channel matrix satisfies a preset convergence condition.
在第一种可能的实现方式中,结合第二方面,所述初始化单元,包括:In a first possible implementation manner, in combination with the second aspect, the initialization unit includes:
奇异值分解子单元,用于对所述信道采集单元转发的所述下行信道矩阵进行奇异值分解;a singular value decomposition subunit, configured to perform singular value decomposition on the downlink channel matrix forwarded by the channel acquisition unit;
迫零计算子单元,用于对所述奇异值分解子单元转发的分解后的所述下行信道矩阵的右奇异向量迫零获取所述下行信道矩阵对应的初始权值;The zero-forcing calculation subunit is used for zero-forcing the right singular vector of the decomposed downlink channel matrix forwarded by the singular value decomposition subunit to obtain the initial weight corresponding to the downlink channel matrix;
或者,or,
所述迫零计算子单元,用于将所述奇异值分解子单元转发的分解后的所述下行信道矩阵的非零右奇异向量作为所述下行信道矩阵对应的初始权值。The zero-forcing calculation subunit is configured to use the decomposed non-zero right singular vector of the downlink channel matrix forwarded by the singular value decomposition subunit as an initial weight corresponding to the downlink channel matrix.
在第二种可能的实现方式中,结合第二方面,所述初始化单元,包括:In a second possible implementation manner, in combination with the second aspect, the initialization unit includes:
协方差计算子单元,用于根据所述下行信道矩阵获取下行信道协方差矩阵;A covariance calculation subunit, configured to obtain a downlink channel covariance matrix according to the downlink channel matrix;
特征值分解子单元,还用于将所述协方差计算子单元转发的所述下行信道协方差矩阵进行特征值分解;The eigenvalue decomposition subunit is further configured to perform eigenvalue decomposition on the downlink channel covariance matrix forwarded by the covariance calculation subunit;
迫零计算子单元,还用于对所述特征值分解子单元分解后的所述下行信道协方差矩阵的特征值向量迫零获取所述下行信道矩阵对应的初始权值;The zero-forcing calculation subunit is also used to zero-force the eigenvalue vector of the downlink channel covariance matrix decomposed by the eigenvalue decomposition subunit to obtain the initial weight corresponding to the downlink channel matrix;
或者,or,
所述迫零计算子单元,还用于将所述特征值分解子单元分解后的所述下行信道协方差矩阵的非零特征值向量作为所述下行信道矩阵对应的初始权值。The zero-forcing calculation subunit is further configured to use the non-zero eigenvalue vectors of the downlink channel covariance matrix decomposed by the eigenvalue decomposition subunit as initial weights corresponding to the downlink channel matrix.
在第三种可能的实现方式中,结合第二方面,所述迭代单元,包括:In a third possible implementation manner, in combination with the second aspect, the iteration unit includes:
均衡子单元,还用于所述协方差计算子单元转发的所述下行信道协方差矩阵及所述初始化单元转发的所述初始权值获取均衡后的等效信道矩阵;The equalization subunit is also used to obtain an equalized equivalent channel matrix from the downlink channel covariance matrix forwarded by the covariance calculation subunit and the initial weights forwarded by the initialization unit;
权值计算子单元,还用于根据所述均衡子单元转发的所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is further configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
在第四种可能的实现方式中,结合第二种可能的实现方式,所述迭代单元,包括:In a fourth possible implementation manner, in combination with the second possible implementation manner, the iteration unit includes:
协方差计算子单元,还用于根据所述信道采集单元转发的所述下行信道矩阵获取下行信道协方差矩阵;The covariance calculation subunit is further configured to obtain a downlink channel covariance matrix according to the downlink channel matrix forwarded by the channel acquisition unit;
均衡子单元,用于根据所述协方差取值子单元转发的所述下行信道协方差矩阵及所述初始化单元转发的所述初始权值获取均衡后的等效信道矩阵;The equalization subunit is configured to obtain an equalized equivalent channel matrix according to the downlink channel covariance matrix forwarded by the covariance value subunit and the initial weight value forwarded by the initialization unit;
权值计算子单元,用于根据所述均衡子单元转发的所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
在第五种可能的实现方式中,结合第二方面,所述迭代单元,包括:In a fifth possible implementation manner, in combination with the second aspect, the iteration unit includes:
等效矩阵获取子单元,用于根据所述初始化单元转发的所述初始权值计算每个用户终端的等效信道矩阵;an equivalent matrix acquisition subunit, configured to calculate the equivalent channel matrix of each user terminal according to the initial weight forwarded by the initialization unit;
均衡子单元,还用于根据所述等效矩阵获取子单元转发的所述每个用户终端的等效信道矩阵和所述信道采集单元转发的所述下行信道矩阵获取所述均衡后的等效信道矩阵;The equalization subunit is further configured to obtain the equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal forwarded by the equivalent matrix acquisition subunit and the downlink channel matrix forwarded by the channel acquisition unit. channel matrix;
权值计算子单元,还用于根据所述均衡子单元转发的所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is further configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
在第六种可能的实现方式中,结合第二方面,所述迭代单元,包括:In a sixth possible implementation manner, in combination with the second aspect, the iteration unit includes:
等效矩阵获取子单元,用于根据所述初始化单元转发的所述初始权值计算每个用户终端的等效信道矩阵;an equivalent matrix acquisition subunit, configured to calculate the equivalent channel matrix of each user terminal according to the initial weight forwarded by the initialization unit;
均衡子单元,用于根据所述等效矩阵获取子单元转发的所述每个用户终端的等效信道矩阵和所述每个用户终端反馈的干扰噪声协方差矩阵获取所述均衡后的等效信道矩阵;The equalization subunit is configured to obtain the equivalent channel matrix after equalization according to the equivalent channel matrix of each user terminal forwarded by the equivalent matrix acquisition subunit and the interference noise covariance matrix fed back by each user terminal. channel matrix;
权值计算子单元,用于根据所述均衡子单元转发的所述均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
在第七种可能的实现方式中,结合第二方面或第一种至第六种可能的实现方式中的任一种可能的实现方式,所述编码设备,还包括:In a seventh possible implementation manner, in combination with the second aspect or any possible implementation manner in the first to sixth possible implementation manners, the encoding device further includes:
迭代次数设置单元,用于获取用户终端发送的终端接收机类型;并将所述终端接收机类型对应的迭代次数设置为所述预设的迭代次数。The iteration number setting unit is configured to acquire the terminal receiver type sent by the user terminal; and set the iteration number corresponding to the terminal receiver type as the preset iteration number.
在第八种可能的实现方式中,结合第七种可能的实现方式,所述迭代次数设置单元,还用于若所述迭代次数设置单元不能获取所述终端接收机类型,则根据默认的用户终端的终端接收机类型将所述预设的迭代次数设置为默认迭代次数。In the eighth possible implementation manner, in conjunction with the seventh possible implementation manner, the iteration number setting unit is further configured to: if the iteration number setting unit cannot obtain the terminal receiver type, according to the default user The terminal receiver type of the terminal sets the preset number of iterations as a default number of iterations.
本发明的实施例提供的预编码方法和设备,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下次下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The precoding method and device provided by the embodiments of the present invention only need to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations based on the initial weight value to obtain the next downlink channel matrix. The weight corresponding to the channel matrix is not limited by the number of antennas of the receiving device, and at the same time, it can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
附图说明Description of drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.
图1为本发明的实施例提供的一种预编码方法的流程示意图;FIG. 1 is a schematic flowchart of a precoding method provided by an embodiment of the present invention;
图2为本发明的实施例提供的另一种预编码方法的流程示意图;FIG. 2 is a schematic flowchart of another precoding method provided by an embodiment of the present invention;
图3为本发明的实施例提供的又一种预编码方法的流程示意图;FIG. 3 is a schematic flowchart of another precoding method provided by an embodiment of the present invention;
图4为本发明的实施例提供的再一种预编码方法的流程示意图;FIG. 4 is a schematic flowchart of another precoding method provided by an embodiment of the present invention;
图5为本发明的实施例提供的另一种预编码方法的流程示意图;FIG. 5 is a schematic flowchart of another precoding method provided by an embodiment of the present invention;
图6为本发明实施例提供的一种预编码方法的性能仿真曲线示意图;FIG. 6 is a schematic diagram of a performance simulation curve of a precoding method provided by an embodiment of the present invention;
图7为本发明的另一实施例提供的一种预编码方法的性能仿真曲线示意图;FIG. 7 is a schematic diagram of a performance simulation curve of a precoding method provided by another embodiment of the present invention;
图8为本发明的实施例提供的一种编码设备的结构示意图;FIG. 8 is a schematic structural diagram of an encoding device provided by an embodiment of the present invention;
图9为本发明的实施例提供的另一种编码设备的结构示意图;FIG. 9 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图10为本发明的实施例提供的又一种编码设备的结构示意图;FIG. 10 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图11为本发明的实施例提供的再一种编码设备的结构示意图;FIG. 11 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图12为本发明的实施例提供的另一种编码设备的结构示意图;FIG. 12 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图13为本发明的实施例提供的又一种编码设备的结构示意图;FIG. 13 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图14为本发明的实施例提供的再一种编码设备的结构示意图;FIG. 14 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图15为本发明的实施例提供的另一种编码设备的结构示意图;FIG. 15 is a schematic structural diagram of another encoding device provided by an embodiment of the present invention;
图16为本发明另一实施例提供的一种编码设备的结构示意图。Fig. 16 is a schematic structural diagram of an encoding device provided by another embodiment of the present invention.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
这里以下行MU-MIMO系统为例,发送端在相同的时频域资源上向多个用户终端发送不同的数据,此时协作用户终端间存在共信道干扰CCI,理论上,希望通过合理设计发送信号以消除用户终端间干扰MUI,若发送端可以获得下行信道状态信息,则可以知道每个用户终端受到干扰的情况,并通过合理的预编码方式消除多用户终端间的干扰;这里发送端的预编码设备可以为基站,当然也可以为基站上的模块或功能单元,以下实施例中以基站为例进行说明。首先给出基于MU-MIMO系统的信号模型。假设Nt为基站的发生天线数,为用户k的接收天线数,用户k的发送信道为用户k的权值矩阵为
其中,
基于上述的系统模型,参照图1所示,本发明的实施例提供一种预编码方法,包括:Based on the above system model, as shown in FIG. 1, an embodiment of the present invention provides a precoding method, including:
101、编码设备获取下行信道矩阵。101. The encoding device acquires a downlink channel matrix.
102、获取下行信道矩阵对应的初始权值。102. Acquire an initial weight corresponding to the downlink channel matrix.
103、根据下行信道矩阵及初始权值获取均衡后的等效信道矩阵并根据该等效信道矩阵获取下一等效信道矩阵对应的权值。103. Obtain an equalized equivalent channel matrix according to the downlink channel matrix and the initial weight value, and obtain a weight value corresponding to the next equivalent channel matrix according to the equivalent channel matrix.
104、根据等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下行信道矩阵对应的权值满足预设的收敛条件。104. Perform iterative calculation according to the weight corresponding to the equivalent channel matrix and the next equivalent channel matrix to obtain the weight corresponding to the downlink channel matrix until the preset number of iterations is satisfied or the weight corresponding to the calculated downlink channel matrix meets the preset The set convergence condition.
本发明的实施例提供的预编码方法,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The precoding method provided by the embodiment of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the eigenvalue corresponding to the downlink channel matrix. The weight is not limited by the number of antennas of the receiving device, and can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
具体的,参照图2所示,本发明的实施例提供的一种预编码方法,包括:Specifically, as shown in FIG. 2, a precoding method provided by an embodiment of the present invention includes:
201、编码设备获取下行信道矩阵H。201. The encoding device acquires a downlink channel matrix H.
当然这里的下行信道矩阵H为基站根据用户终端侧的反馈或上下行信道互异性获取。Of course, the downlink channel matrix H here is acquired by the base station according to the feedback from the user terminal side or the mutual dissimilarity of the uplink and downlink channels.
202、计算下行信道的协方差矩阵Rhh,k。202. Calculate the covariance matrix R hh,k of the downlink channel.
其中
203、对下行信道矩阵H进行奇异值分解后采用迫零算法获取下行信道矩阵对应的初始权值T1。203. After performing singular value decomposition on the downlink channel matrix H, a zero-forcing algorithm is used to obtain an initial weight T 1 corresponding to the downlink channel matrix.
步骤203中,首先对Hk,k∈{1,2,...,k}进行奇异值分解(Singular valuedecomposition,简称SVD)分解,得In
此时用户终端k的前个非零右奇异向量可表示如下,At this time, the front of user terminal k A non-zero right singular vector can be expressed as follows,
令对进行迫零可以计算得到初始权值T1,make right The initial weight T 1 can be calculated by zero-forcing,
其中,为功率调整因子。P1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. P1 can be set according to various principles, including water injection principle, average power distribution and other principles.
当然步骤202和步骤203不分先后,是可以同时进行的。Of course,
204、根据下行信道协方差矩阵及初始权值获取均衡后的等效信道矩阵。204. Obtain an equalized equivalent channel matrix according to the downlink channel covariance matrix and the initial weight value.
具体的等效矩阵的计算过程如下:The specific calculation process of the equivalent matrix is as follows:
设Tj,k表示用户k第j次迭代对应的权值,表达式如下:Let T j,k represent the weight corresponding to the jth iteration of user k, the expression is as follows:
当然这里令j=1,即可获取初始权值。Of course, j=1 is set here to obtain the initial weight.
然后,利用Rhh,k得到均衡后的等效信道矩阵Zj Then, use R hh, k to get the equalized equivalent channel matrix Z j
205、根据均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。205. Obtain a weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
最后,利用迫零算法计算权值矩阵,Finally, the weight matrix is calculated using the zero-forcing algorithm,
为功率调整因子。令j=j+1,W=Tj+1。 is the power adjustment factor. Let j=j+1, W=T j +1.
206、根据等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下行信道矩阵对应的权值满足预设的收敛条件。206. Perform iterative calculation according to the equivalent channel matrix and the weight corresponding to the next equivalent channel matrix to obtain the weight corresponding to the downlink channel matrix until the preset number of iterations is satisfied or the calculated weight corresponding to the downlink channel matrix meets the preset The set convergence condition.
这里,重复公式4至公式6的过程直到满足预设的迭代次数或计算得到的下次下行信道矩阵对应的权值满足预设的收敛条件。Here, the process of
本发明中收敛条件是根据用户设备UE是否反馈接收机类型而设置的。若UE反馈接收机类型,则基站根据UE反馈的接收机类型设置迭代次数。此时本发明的实施例还包括:In the present invention, the convergence condition is set according to whether the user equipment UE feeds back the receiver type. If the UE feeds back the receiver type, the base station sets the number of iterations according to the receiver type fed back by the UE. Embodiments of the present invention also include:
206a、获取用户终端发送的终端接收机类型。206a. Acquire the terminal receiver type sent by the user terminal.
206b、将终端接收机类型对应的迭代次数设置为预设的迭代次数。206b. Set the number of iterations corresponding to the terminal receiver type as a preset number of iterations.
当然若UE不反馈接收机类型,则该实施例还包括:Of course, if the UE does not feed back the receiver type, this embodiment also includes:
206c、根据默认的用户终端的终端接收机类型将预设的迭代次数设置为默认迭代次数或设置收敛条件。206c. Set the preset number of iterations as the default number of iterations or set a convergence condition according to the default terminal receiver type of the user terminal.
当然此处的迭代次数为根据用户终端的终端接收机类型设置的经验值,常见的接收类型主要包括:最大比合并(Maximal-RatioCombining,简称MRC)接收机、最小均方根误差(Minimum MeanSquare Error,简称MMSE)接收机、干扰抑制合并(InterferenceRejection Combining,简称IRC)接收机、最大似然检测(MaximumLikelihood Detection,简称MLD)接收机分别设置迭代次数为NMRC、NMMSE、NIRC和NMLD,其一种可能的取值如表1。若配对用户都采用同一种接收机,就按照相应接收机所需的迭代次数进行设置,若配对用户采用不同的接收机,则取配对用户中所需的最大迭代次数进行设置。Of course, the number of iterations here is an empirical value set according to the terminal receiver type of the user terminal. Common receiving types mainly include: Maximal-RatioCombining (MRC for short) receiver, Minimum Mean Square Error (MMS , referred to as MMSE) receiver, Interference Rejection Combining (Interference Rejection Combining, referred to as IRC) receiver, maximum likelihood detection (MaximumLikelihood Detection, referred to as MLD) receiver respectively set the number of iterations to N MRC , N MMSE , N IRC and N MLD , One of its possible values is shown in Table 1. If the paired users all use the same receiver, set it according to the number of iterations required by the corresponding receiver; if the paired users use different receivers, then set the maximum number of iterations required by the paired users.
表1Table 1
若UE不反馈接收机类型,则基站设置默认迭代次数或设置收敛条件。若设置默认迭代次数,则按照NMRC或NMMSE设置,If the UE does not feed back the receiver type, the base station sets a default number of iterations or sets a convergence condition. If the default number of iterations is set, it is set according to N MRC or N MMSE ,
或者设置收敛条件,其中的一种收敛条件的表达式如下:Or set convergence conditions, one of which is expressed as follows:
||Tj+1-Tj||<ε 公式7||T j+1 -T j ||<ε Formula 7
其中,ε为一个常数。Among them, ε is a constant.
在该实施例中对于下行信道矩阵对应的初始权值T1的获取是基于对下行信道矩阵H进行奇异值分解后对右奇异向量迫零的计算方法,当然对于下行信道矩阵对应的初始权值T1的获取也可以是基于对下行信道矩阵H进行奇异值分解后对非零右奇异向量迫零的计算方法。In this embodiment, the acquisition of the initial weight T1 corresponding to the downlink channel matrix is based on the calculation method of forcing the right singular vector to zero after performing singular value decomposition on the downlink channel matrix H. Of course, for the initial weight corresponding to the downlink channel matrix The acquisition of T 1 may also be based on a calculation method of zero-forcing the non-zero right singular vector after performing singular value decomposition on the downlink channel matrix H.
具体的在步骤203还可以是通过以下方式实现:Specifically, in
采用信道的非零右奇异向量作为MU-MIMO系统的初始权值T1。具体描述如下:The non-zero right singular vector of the channel is used as the initial weight T 1 of the MU-MIMO system. The specific description is as follows:
对Hk,k∈{1,2,...,k}进行SVD分解,SVD decomposition of H k , k ∈ {1, 2, ..., k},
用户k的前个非零右奇异向量可以如下表示,user k's former A non-zero right singular vector can be expressed as follows,
令采用信道的非零右奇异向量作为MU-MIMO系统的初始权值,make The non-zero right singular vector of the channel is used as the initial weight of the MU-MIMO system,
其中,为功率调整因子。p1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. p 1 can be set according to various principles, including water injection principle, average power distribution and other principles.
本发明的实施例提供的预编码方法,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The precoding method provided by the embodiment of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the eigenvalue corresponding to the downlink channel matrix. The weight is not limited by the number of antennas of the receiving device, and can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
具体的,参照图3所示,本发明的实施例提供的一种预编码方法,包括:Specifically, as shown in FIG. 3 , a precoding method provided by an embodiment of the present invention includes:
301、编码设备获取下行信道矩阵H。301. The encoding device acquires a downlink channel matrix H.
当然这里的下行信道矩阵H为基站根据用户终端侧的反馈或上下行信道互异性获取。Of course, the downlink channel matrix H here is acquired by the base station according to the feedback from the user terminal side or the mutual dissimilarity of the uplink and downlink channels.
302、计算下行信道协方差矩阵Rhh,k。302. Calculate the downlink channel covariance matrix R hh,k .
其中
303、对下行信道协方差矩阵Rhh,k进行特征值分解,对分解后的下行信道协方差矩阵的特征值向量迫零获取下行信道矩阵对应的初始权值。303. Perform eigenvalue decomposition on the downlink channel covariance matrix R hh,k , and force zero the eigenvalue vectors of the decomposed downlink channel covariance matrix to obtain initial weights corresponding to the downlink channel matrix.
此时用户终端k的前个非零特征值向量可表示如下,At this time, the front of user terminal k A vector of non-zero eigenvalues can be expressed as follows,
令对进行迫零可以计算得到初始权值T1,make right The initial weight T 1 can be calculated by zero-forcing,
其中,为功率调整因子。P1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. P1 can be set according to various principles, including water injection principle, average power distribution and other principles.
304、根据下行信道协方差矩阵及初始权值获取均衡后的等效信道矩阵。304. Obtain an equalized equivalent channel matrix according to the downlink channel covariance matrix and the initial weight value.
具体的等效矩阵的计算过程如下:The specific calculation process of the equivalent matrix is as follows:
设Tj,k表示用户k第j次迭代对应的权值,表达式如下:Let T j,k represent the weight corresponding to the jth iteration of user k, the expression is as follows:
当然这里令j=1,即可获取初始权值。Of course, j=1 is set here to obtain the initial weight.
然后,利用Rhh,k得到均衡后的等效信道矩阵Zj Then, use R hh, k to get the equalized equivalent channel matrix Z j
305、根据均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。305. Acquire weights corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
最后,利用迫零算法计算权值矩阵,Finally, the weight matrix is calculated using the zero-forcing algorithm,
为功率调整因子。令j=j+1,W=Tj+1。 is the power adjustment factor. Let j=j+1, W=T j +1.
306、根据等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下行信道矩阵对应的权值满足预设的收敛条件。306. Perform iterative calculation according to the equivalent channel matrix and the weight corresponding to the next equivalent channel matrix to obtain the weight corresponding to the downlink channel matrix until the preset number of iterations is satisfied or the calculated weight corresponding to the downlink channel matrix satisfies the preset The set convergence condition.
这里,重复公式14至公式16的过程直到满足预设的迭代次数或计算得到的下次下行信道矩阵对应的权值满足预设的收敛条件。Here, the process of
本发明中收敛条件是根据用户设备UE是否反馈接收机类型而设置的。若UE反馈接收机类型,则基站根据UE反馈的接收机类型设置迭代次数。此时本发明的实施例还包括:In the present invention, the convergence condition is set according to whether the user equipment UE feeds back the receiver type. If the UE feeds back the receiver type, the base station sets the number of iterations according to the receiver type fed back by the UE. Embodiments of the present invention also include:
306a、获取用户终端发送的终端接收机类型。306a. Acquire the terminal receiver type sent by the user terminal.
306b、将终端接收机类型对应的迭代次数设置为预设的迭代次数。306b. Set the number of iterations corresponding to the terminal receiver type as a preset number of iterations.
当然若UE不反馈接收机类型,则该实施例还包括:Of course, if the UE does not feed back the receiver type, this embodiment also includes:
306c、根据默认的用户终端的终端接收机类型将预设的迭代次数设置为默认迭代次数或设置收敛条件。306c. Set the preset number of iterations as the default number of iterations or set a convergence condition according to the default terminal receiver type of the user terminal.
当然此处的迭代次数为根据用户终端的终端接收机类型设置的经验值,其中终端接收机类型、及不同终端接收机对应的迭代次数及默认收敛条件的设置具体参照上一实施例此处不再赘述。Of course, the number of iterations here is an empirical value set according to the terminal receiver type of the user terminal. For the setting of the terminal receiver type, the number of iterations corresponding to different terminal receivers, and the default convergence conditions, refer to the previous embodiment for details. Let me repeat.
在该实施例中对于下行信道矩阵对应的初始权值T1的获取是基于对下行信道协方差矩阵Rhh,k进行特征值分解后,对分解后的下行信道协方差矩阵的特征值向量进行迫零计算的方法,当然对于下行信道矩阵对应的初始权值T1的获取也可以是基于对下行信道协方差矩阵进行特征值分解后将非零特征值向量作为初始权值T1。In this embodiment, the acquisition of the initial weight T1 corresponding to the downlink channel matrix is based on performing eigenvalue decomposition on the downlink channel covariance matrix R hh, k , and then performing an eigenvalue vector on the decomposed downlink channel covariance matrix The method of zero-forcing calculation, of course, may also be based on performing eigenvalue decomposition on the downlink channel covariance matrix and using a non-zero eigenvalue vector as the initial weight T 1 for the initial weight T 1 corresponding to the downlink channel matrix.
具体的在步骤303还可以是通过以下方式实现:Specifically, in
对下行信道协方差矩阵进行特征值分解后将非零特征值向量作为MU-MIMO系统的初始权值T1。具体描述如下:After performing eigenvalue decomposition on the downlink channel covariance matrix, the non-zero eigenvalue vector is used as the initial weight T 1 of the MU-MIMO system. The specific description is as follows:
对Hk,k∈{1,2,...,k}进行SVD分解,SVD decomposition of H k , k ∈ {1, 2, ..., k},
用户k的前个非零特征值向量可以如下表示,user k's former A vector of non-zero eigenvalues can be expressed as follows,
令采用信道的非零右奇异向量作为MU-MIMO系统的初始权值,make The non-zero right singular vector of the channel is used as the initial weight of the MU-MIMO system,
其中,为功率调整因子。p1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. p 1 can be set according to various principles, including water injection principle, average power distribution and other principles.
本发明的实施例提供的预编码方法,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低预编码的计算复杂度,并保证了信道的发射性能增益。The precoding method provided by the embodiment of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the eigenvalue corresponding to the downlink channel matrix. The weight is not limited by the number of antennas of the receiving device, and can reduce the computational complexity of precoding and ensure the transmission performance gain of the channel.
本发明的实施例提供一种预编码方法,参照图4所示,包括:Embodiments of the present invention provide a precoding method, as shown in FIG. 4 , including:
401、编码设备获取下行信道矩阵H。401. The encoding device acquires a downlink channel matrix H.
当然这里的下行信道矩阵H为基站根据用户终端侧的反馈或上下行信道互异性获取。Of course, the downlink channel matrix H here is acquired by the base station according to the feedback from the user terminal side or the mutual dissimilarity of the uplink and downlink channels.
402、对下行信道矩阵H进行奇异值分解后采用迫零算法获取下行信道矩阵对应的初始权值T1。402. After performing singular value decomposition on the downlink channel matrix H, a zero-forcing algorithm is used to obtain an initial weight T 1 corresponding to the downlink channel matrix.
步骤402中,首先对Hk,k∈{1,2,...,k}进行SVD分解,得,In
此时用户终端k的前个非零右奇异向量可表示如下,At this time, the front of user terminal k A non-zero right singular vector can be expressed as follows,
令对进行迫零可以计算得到初始权值T1,make right The initial weight T 1 can be calculated by zero-forcing,
其中,为功率调整因子。P1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. P1 can be set according to various principles, including water injection principle, average power distribution and other principles.
403、根据初始权值计算每个用户终端的等效信道矩阵。403. Calculate an equivalent channel matrix of each user terminal according to the initial weight.
计算用户的等效信道Rk,j,首先,用户k的接收信号可以如下表示,To calculate the user's equivalent channel R k,j , first, the received signal of user k can be expressed as follows,
则用户k的等效信道矩阵为:Then the equivalent channel matrix of user k is:
Rk,j=HkTj,k 公式23R k, j = H k T j, k Equation 23
其中,Tj,k表示用户k第j次迭代对应的权值,Among them, T j, k represents the weight corresponding to the jth iteration of user k,
404、根据每个用户终端的等效信道矩阵获取均衡后的等效信道矩阵。404. Obtain an equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal.
利用Rk,j得到矩阵Zj,此时无论UE采用什么接收机,都假设UE采用MRC接收机,此时Zj的表达式为:The matrix Z j is obtained by using R k,j . At this time, no matter what receiver the UE uses, it is assumed that the UE uses an MRC receiver. At this time, the expression of Z j is:
405、根据均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。405. Acquire weights corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
为功率调整因子,令j=j+1,W=Tj+1。 is the power adjustment factor, let j=j+1, W=T j +1.
406、根据等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下次下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下次下行信道矩阵对应的权值满足预设的收敛条件。406. Perform iterative calculation according to the equivalent channel matrix and the weight corresponding to the next equivalent channel matrix to obtain the weight corresponding to the next downlink channel matrix until the preset number of iterations is satisfied or the weight corresponding to the calculated next downlink channel matrix is obtained. The weights satisfy the preset convergence conditions.
重复公式16到公式17的过程直到满足预设的迭代次数或计算得到的下次下行信道矩阵对应的权值满足预设的收敛条件。The process of
本发明中收敛条件是根据用户设备UE是否反馈接收机类型而设置的。若UE反馈接收机类型,则基站根据UE反馈的接收机类型设置迭代次数。此时本发明的实施例还包括:In the present invention, the convergence condition is set according to whether the user equipment UE feeds back the receiver type. If the UE feeds back the receiver type, the base station sets the number of iterations according to the receiver type fed back by the UE. Embodiments of the present invention also include:
406a、获取用户终端发送的终端接收机类型。406a. Obtain the terminal receiver type sent by the user terminal.
406b、将终端接收机类型对应的迭代次数设置为预设的迭代次数。406b. Set the number of iterations corresponding to the terminal receiver type as a preset number of iterations.
当然若UE不反馈接收机类型,则该是实施例还包括:Of course, if the UE does not feed back the receiver type, this embodiment also includes:
406c、根据用户终端的终端接收机类型将预设的迭代次数设置为默认迭代次数或设置收敛条件。406c. Set the preset number of iterations as the default number of iterations or set a convergence condition according to the terminal receiver type of the user terminal.
当然此处的迭代次数为根据用户终端的终端接收机类型设置的经验值,其中终端接收机类型、及不同终端接收机对应的迭代次数及默认收敛条件的设置具体参照上一实施例此处不再赘述。Of course, the number of iterations here is an empirical value set according to the terminal receiver type of the user terminal. For the setting of the terminal receiver type, the number of iterations corresponding to different terminal receivers, and the default convergence conditions, refer to the previous embodiment for details. Let me repeat.
在该实施例中对于下行信道矩阵对应的初始权值T1的获取是基于对下行信道矩阵H进行奇异值分解后对右奇异向量迫零的计算方法,当然对于下行信道矩阵对应的初始权值T1的获取也可以是基于对下行信道矩阵H进行奇异值分解后对非零右奇异向量迫零的计算方法。In this embodiment, the acquisition of the initial weight T1 corresponding to the downlink channel matrix is based on the calculation method of forcing the right singular vector to zero after performing singular value decomposition on the downlink channel matrix H. Of course, for the initial weight corresponding to the downlink channel matrix The acquisition of T 1 may also be based on a calculation method of zero-forcing the non-zero right singular vector after performing singular value decomposition on the downlink channel matrix H.
具体的在步骤402还可以是通过以下方式实现:Specifically, in
采用信道的非零右奇异向量作为MU-MIMO初始权值T1。具体描述如下。The non-zero right singular vector of the channel is used as the initial weight T 1 of MU-MIMO. The specific description is as follows.
对Hk,k∈{1,2,...,k}进行SVD分解,SVD decomposition of H k , k ∈ {1, 2, ..., k},
用户k的前个非零右奇异向量可以如下表示,user k's former A non-zero right singular vector can be expressed as follows,
令采用信道的非零右奇异向量作为MU-MIMO系统的初始权值,make The non-zero right singular vector of the channel is used as the initial weight of the MU-MIMO system,
其中,为功率调整因子。p1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. p 1 can be set according to various principles, including water injection principle, average power distribution and other principles.
此外步骤402还可以替换为通过步骤302和303所述的采取对下行信道协方差矩阵进行特征值分解的方式获取初始权值T1。In addition,
本发明的实施例提供的预编码方法,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The precoding method provided by the embodiment of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the eigenvalue corresponding to the downlink channel matrix. The weight is not limited by the number of antennas of the receiving device, and can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
参照图5所示,本发明的实施例提供一种预编码方法,包括如下步骤:Referring to Figure 5, an embodiment of the present invention provides a precoding method, including the following steps:
501、编码设备获取下行信道矩阵H。501. The encoding device acquires a downlink channel matrix H.
当然这里的下行信道矩阵H为基站根据用户终端侧的反馈或上下行信道互异性获取。Of course, the downlink channel matrix H here is acquired by the base station according to the feedback from the user terminal side or the mutual dissimilarity of the uplink and downlink channels.
502、对下行信道矩阵H进行奇异值分解后采用迫零算法获取下行信道矩阵对应的初始权值T1。502. After performing singular value decomposition on the downlink channel matrix H, a zero-forcing algorithm is used to obtain an initial weight T 1 corresponding to the downlink channel matrix.
步骤502中,首先对HK,k∈{1,2,3......,k},进行SVD分解,得In
此时用户终端k的前个非零右奇异向量可表示如下,At this time, the front of user terminal k A non-zero right singular vector can be expressed as follows,
令对进行迫零可以计算得到初始权值T1,make right The initial weight T 1 can be calculated by zero-forcing,
其中,为功率调整因子。P1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. P1 can be set according to various principles, including water injection principle, average power distribution and other principles.
503、根据初始权值计算每个用户终端的等效信道矩阵。503. Calculate an equivalent channel matrix of each user terminal according to the initial weight.
计算用户的等效信道Rk,j,首先,用户k的接收信号可以如下表示,To calculate the user's equivalent channel R k,j , first, the received signal of user k can be expressed as follows,
则用户k的等效信道矩阵为:Then the equivalent channel matrix of user k is:
Rk,j=HkTj,k 公式34R k,j = H k T j,k Equation 34
其中,Tj,k表示用户k第j次迭代对应的权值,Among them, T j, k represents the weight corresponding to the jth iteration of user k,
504、根据每个用户终端的等效信道矩阵和每个用户终端反馈的干扰噪声协方差矩阵获取均衡后的等效信道矩阵。504. Obtain an equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal and the interference noise covariance matrix fed back by each user terminal.
利用Rk,j得到矩阵Zj,此时无论UE采用什么接收机,都假设UE采用IRC接收机,此时Zj的表达式为:The matrix Z j is obtained by using R k,j . At this time, no matter what receiver the UE uses, it is assumed that the UE uses an IRC receiver. At this time, the expression of Z j is:
对用户k,第j次迭代,若假设UE采用IRC接收机:For user k, the jth iteration, if it is assumed that the UE uses an IRC receiver:
其中,Ruu,k表示用户k的干扰噪声协方差矩阵。此Zj的表达式如下:Among them, R uu,k represents the interference noise covariance matrix of user k. The expression of this Z j is as follows:
505、根据均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。505. Acquire weights corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix.
为功率调整因子,令j=j+1,W=Tj+1。 is the power adjustment factor, let j=j+1, W=T j +1.
506、根据等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下次下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下次下行信道矩阵对应的权值满足预设的收敛条件。506. Perform iterative calculation according to the equivalent channel matrix and the weight corresponding to the next equivalent channel matrix to obtain the weight corresponding to the next downlink channel matrix until the preset number of iterations is satisfied or the weight corresponding to the calculated next downlink channel matrix is obtained. The weights satisfy the preset convergence conditions.
具体的在步骤502还可以是通过以下方式实现:Specifically, step 502 can also be realized in the following manner:
采用信道的非零右奇异向量作为MU-MIMO系统的初始权值T1。具体描述如下。The non-zero right singular vector of the channel is used as the initial weight T 1 of the MU-MIMO system. The specific description is as follows.
对Hk,k∈{1,2,...,k}进行SVD分解,SVD decomposition of H k , k ∈ {1, 2, ..., k},
用户k的前个非零右奇异向量可以如下表示,user k's former A non-zero right singular vector can be expressed as follows,
令采用信道的非零右奇异向量作为MU-MIMO系统的初始权值。make The non-zero right singular vector of the channel is used as the initial weight of the MU-MIMO system.
其中,为功率调整因子。p1可以按照多种原则设置,包括注水原理、平均功率分配等原则。in, is the power adjustment factor. p 1 can be set according to various principles, including water injection principle, average power distribution and other principles.
本发明中收敛条件是根据用户设备UE是否反馈接收机类型而设置的。若UE反馈接收机类型,则基站根据UE反馈的接收机类型设置迭代次数。此时本发明的实施例还包括:In the present invention, the convergence condition is set according to whether the user equipment UE feeds back the receiver type. If the UE feeds back the receiver type, the base station sets the number of iterations according to the receiver type fed back by the UE. Embodiments of the present invention also include:
506a、获取用户终端发送的终端接收机类型。506a. Acquire the terminal receiver type sent by the user terminal.
506b、将终端接收机类型对应的迭代次数设置为预设的迭代次数。506b. Set the number of iterations corresponding to the terminal receiver type as a preset number of iterations.
当然若UE不反馈接收机类型,则该是实施例还包括:Of course, if the UE does not feed back the receiver type, this embodiment also includes:
506c、根据默认的用户终端的终端接收机类型将预设的迭代次数设置为默认迭代次数或设置收敛条件。506c. Set the preset number of iterations as the default number of iterations or set a convergence condition according to the default terminal receiver type of the user terminal.
当然此处的迭代次数为根据用户终端的终端接收机类型设置的经验值,其中终端接收机类型、及不同终端接收机对应的迭代次数及默认收敛条件的设置具体参照以上实施例此处不再赘述。Of course, the number of iterations here is an empirical value set according to the type of terminal receiver of the user terminal, wherein the type of terminal receiver, the number of iterations corresponding to different terminal receivers, and the setting of default convergence conditions refer to the above embodiments for details. repeat.
此外步骤502还可以替换为通过步骤302和303所述的采取对下行信道协方差矩阵进行特征值分解的方式获取初始权值T1。In addition,
以上实施例中所用的数学运算符号含义,具体如下:(·)H表示对(·)的共轭转置;(·)-1表示对(·)求逆;(·)T表示对(·)求转置;(·)*表示对(·)求共轭;tr(·)表示(·)对求迹;diag(·)表示由(·)的向量的元素构成对角矩阵;In表示n×n的单位矩阵;A(:,m:n)表示选取矩阵A的第m到第n列。The meaning of the mathematical operation symbols used in the above embodiments is specifically as follows: ( ) H represents the conjugate transposition of ( ); ( ) -1 represents the inversion of ( ); ( ) T represents the inversion of ( ) ) seeks the transpose; (·) * represents to (·) seeks the conjugate; tr(·) represents (·) to seek the trace; diag(·) represents to form the diagonal matrix by the element of the vector of (·); I n Indicates the n×n identity matrix; A(:, m:n) indicates the selection of the mth to nth columns of the matrix A.
此外如图6所示,给出了一种发射端设备4发射天线、2用户终端每用户终端2接收天线模型,图7给出了一种发射端设备4发射天线、2用户终端每用户终端4接收天线模型,其中图6、图7均为在采用本发明图2所示的实施例提供的信道预编码方法时,每用户终端单流配对时的仿真性能即信噪比(Signal/Noise,简称SNR)与性能(capacity)的曲线关系图,其中仿真过程中对应用户终端的下行信道随机产生,其中示出了现有技术提供的方案1、方案2及方案3以及本发明提供的方案下信噪比(Signal/Noise,简称SNR)与性能(capacity)的曲线关系图,可以看出本发明所提供的方式相对于现有技术方案1、方案2及方案3所提供的方式随信噪比的增加性能增益效果最好,其中方案1为直接信道求逆法(Zero Forcing,简称ZF),方案2为信号泄露噪声比(Signal-to-leakage-and-noise Ratio,简称SLNR)方法;方案3为一种基于迫零的迭代方案,其中图6对应的用户终端总接收天线数大于基站的发射天线数因此不能采用方案1,因此未给出方案1的曲线图。In addition, as shown in Figure 6, a transmitter device with 4 transmit antennas, 2 user terminals and each user terminal with 2 receive antenna models is given, and Figure 7 shows a transmitter device with 4 transmit antennas, 2 user terminals per
本发明的实施例提供的预编码方法,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The precoding method provided by the embodiment of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the eigenvalue corresponding to the downlink channel matrix. The weight is not limited by the number of antennas of the receiving device, and can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
本发明的实施例提供一种编码设备,如图8所示,该编码设备6包括:信道采集单元61、初始化单元62和迭代单元63,其中:An embodiment of the present invention provides an encoding device. As shown in FIG. 8, the
信道采集单元61,用于获取下行信道矩阵。The
初始化单元62,用于获取信道采集单元61转发的下行信道矩阵对应的初始权值。The
迭代单元63,用于根据信道采集单元61转发的下行信道矩阵及初始化单元62转发的初始权值获取均衡后的等效信道矩阵及根据等效信道矩阵获取的下一等效信道矩阵对应的权值;并根据均衡单元63转发的等效信道矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下行信道矩阵对应的权值满足预设的收敛条件。The
进一步可选的,如图9所示,初始化单元62,包括:Further optionally, as shown in FIG. 9, the
奇异值分解子单元621a,用于对信道采集单元61转发的下行信道矩阵进行奇异值分解。The singular
迫零计算子单元622a,用于对奇异值分解子单元621a转发的分解后的下行信道矩阵的右奇异向量迫零获取下行信道矩阵对应的初始权值;The zero-forcing
或者,or,
该迫零计算子单元622a,用于将奇异值分解子单元621a转发的分解后的下行信道矩阵的非零右奇异向量作为下行信道矩阵对应的初始权值。The zero-forcing
可选的,如图10所示,初始化单元62,包括:Optionally, as shown in FIG. 10, the
协方差计算子单元621b,用于根据下行信道矩阵获取下行信道协方差矩阵,The covariance calculation subunit 621b is used to obtain the downlink channel covariance matrix according to the downlink channel matrix,
特征值分解子单元622b,还用于将协方差计算子单元621b转发的下行信道协方差矩阵进行特征值分解,The eigenvalue decomposition subunit 622b is also used to perform eigenvalue decomposition on the downlink channel covariance matrix forwarded by the covariance calculation subunit 621b,
迫零计算子单元623b,还用于将特征值分解子单元622b分解后的下行信道协方差矩阵的特征值向量作为下行信道矩阵对应的初始权值;The zero-forcing calculation subunit 623b is also used to use the eigenvalue vector of the downlink channel covariance matrix decomposed by the eigenvalue decomposition subunit 622b as the initial weight corresponding to the downlink channel matrix;
或者,or,
该迫零计算子单元623b,还用于将特征值分解子单元622b分解后的下行信道协方差矩阵的非零特征值向量作为下行信道矩阵对应的初始权值。The zero-forcing calculation subunit 623b is also used to use the non-zero eigenvalue vectors of the downlink channel covariance matrix decomposed by the eigenvalue decomposition subunit 622b as initial weights corresponding to the downlink channel matrix.
进一步可选的,如图11所示,迭代单元63,还包括:Further optionally, as shown in Figure 11, the
均衡子单元631a,还用于协方差取值子单元621a转发的下行信道协方差矩阵及初始化单元62转发的初始权值获取均衡后的等效信道矩阵,The equalization subunit 631a is also used to obtain an equalized equivalent channel matrix from the downlink channel covariance matrix forwarded by the
权值计算子单元632a,还用于根据均衡子单元631a转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit 632a is further configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit 631a.
可选的,如图12所示,迭代单元63,包括:Optionally, as shown in Figure 12, the
协方差计算子单元631b,根据信道采集单元61转发的下行信道矩阵获取下行信道协方差矩阵。The
均衡子单元632b,用于协方差取值子单元631b转发的下行信道协方差矩阵及初始化单元62转发的初始权值获取均衡后的等效信道矩阵。The
权值计算子单元633b,用于根据均衡子单元632b转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit 633b is configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the
可选的,如图13所示,迭代单元63,还包括:Optionally, as shown in Figure 13, the
等效矩阵获取子单元631c,用于根据初始化单元62转发的初始权值计算每个用户终端的等效信道矩阵,The equivalent
均衡子单元632c,还用于根据等效矩阵获取子单元631c转发的每个用户终端的等效信道矩阵和信道采集单元61转发的下行信道矩阵获取均衡后的等效信道矩阵,The
权值计算子单元633c,还用于根据均衡子单元632c转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The
可选的,如图14所示,迭代单元63,还包括:Optionally, as shown in Figure 14, the
等效矩阵获取子单元631d,还用于根据初始化单元62转发的初始权值计算每个用户终端的等效信道矩阵,The equivalent
均衡子单元632d,还用于根据等效矩阵获取子单元631b转发的每个用户终端的等效信道矩阵和每个用户终端反馈的干扰噪声协方差矩阵获取均衡后的等效信道矩阵,The
权值计算子单元633d,还用于根据均衡子单元632d转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The
可选的,如图15所示,该编码设备6还包括:迭代次数设置单元64,用于获取用户终端发送的终端接收机类型;并将该终端接收机类型对应的迭代次数设置为预设的迭代次数。Optionally, as shown in FIG. 15 , the
可选的,若迭代次数设置单元64不能获取终端接收机类型,则根据默认的用户终端的终端接收机类型将预设的迭代次数设置为默认送代次数。Optionally, if the iteration
本发明的实施例提供的编码设备,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The encoding device provided by the embodiments of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the weight corresponding to the downlink channel matrix. The value is not limited by the number of antennas of the receiving device, and at the same time, it can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
图16为本发明的又一实施例提供的编码设备的结构示意图,该编码设备7包括至少一个处理器71,存储器72,通信总线73以及至少一个通信接口74。FIG. 16 is a schematic structural diagram of an encoding device provided by another embodiment of the present invention. The encoding device 7 includes at least one processor 71 , a memory 72 , a communication bus 73 and at least one communication interface 74 .
其中,所述通信总线73用于实现上述组件之间的连接并通信,所述通信接口74用于与外部设备连接并通信。Wherein, the communication bus 73 is used to realize connection and communication between the above components, and the communication interface 74 is used to connect and communicate with external devices.
存储器72中存储需要执行的程序代码,这些程序代码具体可以包括:信道采集单元721、初始化单元722和迭代单元723。Program codes to be executed are stored in the memory 72 , and these program codes may specifically include: a channel acquisition unit 721 , an initialization unit 722 and an iteration unit 723 .
处理器71用于执行所述存储器72中存储的单元,当上述单元被所述处理器71执行时,实现如下功能:The processor 71 is used to execute the units stored in the memory 72. When the above units are executed by the processor 71, the following functions are realized:
信道采集单元721,用于获取下行信道矩阵。The channel acquisition unit 721 is configured to acquire a downlink channel matrix.
初始化单元722,用于获取信道采集单元721转发的下行信道矩阵对应的初始权值。The initialization unit 722 is configured to obtain an initial weight corresponding to the downlink channel matrix forwarded by the channel acquisition unit 721 .
迭代单元723,用于根据信道采集单元721转发的下行信道矩阵及初始化单元722转发的初始权值获取均衡后的等效信道矩阵及根据等效信道矩阵获取的下一等效信道矩阵对应的权值;并根据等效矩阵及下一等效信道矩阵对应的权值进行迭代计算得到下行信道矩阵对应的权值,直至满足预设的迭代次数或计算得到的下行信道矩阵对应的权值满足预设的收敛条件。The iteration unit 723 is configured to obtain the equalized equivalent channel matrix and the weight corresponding to the next equivalent channel matrix obtained according to the equivalent channel matrix according to the downlink channel matrix forwarded by the channel acquisition unit 721 and the initial weight value forwarded by the initialization unit 722 value; and iteratively calculate the weight corresponding to the downlink channel matrix according to the equivalent matrix and the weight corresponding to the next equivalent channel matrix, until the preset number of iterations is satisfied or the calculated weight corresponding to the downlink channel matrix satisfies the preset The set convergence condition.
进一步可选的,初始化单元722,包括:Further optionally, the initialization unit 722 includes:
奇异值分解子单元,用于对信道采集单元721转发的下行信道矩阵进行奇异值分解。The singular value decomposition subunit is configured to perform singular value decomposition on the downlink channel matrix forwarded by the channel acquisition unit 721 .
迫零计算子单元,用于对奇异值分解子单元转发的分解后的下行信道矩阵的右奇异向量迫零获取下行信道矩阵对应的初始权值;The zero-forcing calculation subunit is used for zero-forcing the right singular vector of the decomposed downlink channel matrix forwarded by the singular value decomposition subunit to obtain the corresponding initial weight of the downlink channel matrix;
或者,or,
该迫零计算子单元,用于将奇异值分解子单元转发的分解后的下行信道矩阵的非零右奇异向量作为下行信道矩阵对应的初始权值。The zero-forcing calculation subunit is used to use the non-zero right singular vector of the decomposed downlink channel matrix forwarded by the singular value decomposition subunit as an initial weight value corresponding to the downlink channel matrix.
可选的,初始化单元722,包括:Optionally, the initialization unit 722 includes:
协方差计算子单元,用于根据下行信道矩阵获取下行信道协方差矩阵。The covariance calculation subunit is used to obtain the downlink channel covariance matrix according to the downlink channel matrix.
特征值分解子单元,还用于将协方差计算子单元转发的下行信道协方差矩阵进行特征值分解。The eigenvalue decomposition subunit is also used to perform eigenvalue decomposition on the downlink channel covariance matrix forwarded by the covariance calculation subunit.
迫零计算子单元,还用于将特征值分解子单元分解后的下行信道协方差矩阵的特征值向量作为下行信道矩阵对应的初始权值;The zero-forcing calculation subunit is also used to use the eigenvalue vector of the downlink channel covariance matrix decomposed by the eigenvalue decomposition subunit as the initial weight corresponding to the downlink channel matrix;
或者,or,
该迫零计算子单元,还用于将特征值分解子单元分解后的下行信道协方差矩阵的非零特征值向量作为下行信道矩阵对应的初始权值。The zero-forcing calculation subunit is also used to use the non-zero eigenvalue vectors of the downlink channel covariance matrix decomposed by the eigenvalue decomposition subunit as initial weights corresponding to the downlink channel matrix.
进一步可选的,迭代单元723,还包括:Further optionally, the iteration unit 723 also includes:
均衡子单元,还用于协方差取值子单元转发的下行信道协方差矩阵及初始化单元722转发的初始权值获取均衡后的等效信道矩阵。The equalization subunit is also used to obtain an equalized equivalent channel matrix from the downlink channel covariance matrix forwarded by the covariance value acquisition subunit and the initial weights forwarded by the initialization unit 722 .
权值计算子单元,还用于根据均衡子单元转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is also used to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
可选的,迭代单元723,包括:Optionally, iteration unit 723 includes:
协方差计算子单元,根据信道采集单元721转发的下行信道矩阵获取下行信道协方差矩阵。The covariance calculation subunit acquires the downlink channel covariance matrix according to the downlink channel matrix forwarded by the channel acquisition unit 721 .
均衡子单元,用于协方差取值子单元转发的下行信道协方差矩阵及初始化单元722转发的初始权值获取均衡后的等效信道矩阵。The equalization subunit is used to obtain an equalized equivalent channel matrix from the downlink channel covariance matrix forwarded by the covariance value subunit and the initial weights forwarded by the initialization unit 722 .
权值计算子单元,用于根据均衡子单元632b转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is configured to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the
可选的,迭代单元723,还包括:Optionally, iteration unit 723 also includes:
等效矩阵获取子单元,用于根据初始化单元722转发的初始权值计算每个用户终端的等效信道矩阵。The equivalent matrix acquisition subunit is configured to calculate the equivalent channel matrix of each user terminal according to the initial weights forwarded by the initialization unit 722 .
均衡子单元,还用于根据等效矩阵获取子单元转发的每个用户终端的等效信道矩阵和信道采集单元721转发的下行信道矩阵获取均衡后的等效信道矩阵。The equalization subunit is further configured to obtain an equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal forwarded by the equivalent matrix acquisition subunit and the downlink channel matrix forwarded by the channel acquisition unit 721 .
权值计算子单元,还用于根据均衡子单元转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is also used to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
可选的,迭代单元723,还包括:Optionally, iteration unit 723 also includes:
等效矩阵获取子单元,还用于根据初始化单元722转发的初始权值计算每个用户终端的等效信道矩阵。The equivalent matrix acquiring subunit is further configured to calculate the equivalent channel matrix of each user terminal according to the initial weights forwarded by the initialization unit 722 .
均衡子单元,还用于根据等效矩阵获取子单元转发的每个用户终端的等效信道矩阵和每个用户终端反馈的干扰噪声协方差矩阵获取均衡后的等效信道矩阵。The equalization subunit is further configured to obtain an equalized equivalent channel matrix according to the equivalent channel matrix of each user terminal forwarded by the equivalent matrix acquisition subunit and the interference noise covariance matrix fed back by each user terminal.
权值计算子单元,还用于根据均衡子单元转发的均衡后的等效信道矩阵采用迫零算法获取下一等效信道矩阵对应的权值。The weight calculation subunit is also used to obtain the weight corresponding to the next equivalent channel matrix by using a zero-forcing algorithm according to the equalized equivalent channel matrix forwarded by the equalization subunit.
可选的,存储器72还包括:迭代次数设置单元724,用于获取用户终端发送的终端接收机类型;并将该终端接收机类型对应的迭代次数设置为预设的迭代次数。Optionally, the memory 72 further includes: an iteration number setting unit 724, configured to acquire the terminal receiver type sent by the user terminal; and set the iteration number corresponding to the terminal receiver type as a preset iteration number.
可选的,若迭代次数设置单元724不能获取终端接收机类型,则根据默认的用户终端的终端接收机类型将预设的迭代次数设置为默认送代次数。Optionally, if the iteration number setting unit 724 cannot obtain the terminal receiver type, then set the preset iteration number as the default number of generations according to the default terminal receiver type of the user terminal.
本发明的实施例提供的编码设备,只需在当前下行信道矩阵对应的初始权值计算过程中进行一次特征值分解,然后根据该初始权值进行后续的迭代计算并获取下行信道矩阵对应的权值,不受接收端设备的天线数限制,同时能够降低信道预编码的计算复杂度,并保证了信道的发射性能增益。The encoding device provided by the embodiments of the present invention only needs to perform eigenvalue decomposition once in the calculation process of the initial weight value corresponding to the current downlink channel matrix, and then perform subsequent iterative calculations according to the initial weight value and obtain the weight corresponding to the downlink channel matrix. The value is not limited by the number of antennas of the receiving device, and at the same time, it can reduce the computational complexity of channel precoding and ensure the transmission performance gain of the channel.
本领域普通技术人员可以理解:实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成,前述的程序可以存储于一计算机可读取存储介质中,该程序在执行时,执行包括上述方法实施例的步骤;而前述的存储介质包括:ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。Those of ordinary skill in the art can understand that all or part of the steps for realizing the above-mentioned method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the It includes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.
以上所述,仅为本发明的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本发明的保护范围之内。因此,本发明的保护范围应以所述权利要求的保护范围为准。The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104393964A (en) * | 2014-10-16 | 2015-03-04 | 汕头大学 | Pre-coding method based on channel information covariance and cooperative communication method |
CN105790804A (en) * | 2016-01-29 | 2016-07-20 | 西安交通大学 | Double-cell cooperation zero-forcing pre-coding scheme based on local channel correlation |
CN111385008A (en) * | 2018-12-29 | 2020-07-07 | 中兴通讯股份有限公司 | Beamforming method, base station and computer readable storage medium |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101374034A (en) * | 2007-08-20 | 2009-02-25 | 中兴通讯股份有限公司 | Down and up multi-user multi-input multi-output pre-coding method and codebook thereof |
CN102263578A (en) * | 2010-05-31 | 2011-11-30 | 中兴通讯股份有限公司 | Precoding matrix selection method and device |
-
2012
- 2012-12-20 CN CN201210555090.1A patent/CN103888213B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101374034A (en) * | 2007-08-20 | 2009-02-25 | 中兴通讯股份有限公司 | Down and up multi-user multi-input multi-output pre-coding method and codebook thereof |
CN102263578A (en) * | 2010-05-31 | 2011-11-30 | 中兴通讯股份有限公司 | Precoding matrix selection method and device |
Non-Patent Citations (1)
Title |
---|
NIMA SEIFI等: ""AN EFFICIENT SIGNALING FOR MULTI-MODE TRANSMISSION IN MULTI-USER MIMO"", 《2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS,SPEECH AND SIGNAL PROCESSING》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104393964A (en) * | 2014-10-16 | 2015-03-04 | 汕头大学 | Pre-coding method based on channel information covariance and cooperative communication method |
CN104393964B (en) * | 2014-10-16 | 2018-04-24 | 汕头大学 | Method for precoding and collaboration communication method based on channel information covariance |
CN105790804A (en) * | 2016-01-29 | 2016-07-20 | 西安交通大学 | Double-cell cooperation zero-forcing pre-coding scheme based on local channel correlation |
CN105790804B (en) * | 2016-01-29 | 2018-06-26 | 西安交通大学 | A kind of double cell cooperative force zero method for precoding based on local channel correlation |
CN111385008A (en) * | 2018-12-29 | 2020-07-07 | 中兴通讯股份有限公司 | Beamforming method, base station and computer readable storage medium |
CN111385008B (en) * | 2018-12-29 | 2022-09-30 | 中兴通讯股份有限公司 | Beamforming method, base station and computer readable storage medium |
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