CN107947838A - The mixed-beam figuration framework and encoder design of a kind of Hybrid connections - Google Patents
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Abstract
本发明公开了一种基于混合连接的混合波束赋形架构和编码器设计算法及实现装置。首先基于连续干扰消除思想的非约束混合编码器的设计,设计最优的混合编码矩阵;其次在最优的混合编码矩阵已知的情况下,基于次优化的约束混合编码器设计约束的混合编码矩阵,就可以获得整个系统的模拟编码矩阵和数字编码矩阵。该算法可以在降低系统硬件实现复杂度的同时,能够有效的保证系统的频谱效率,并且提高系统的能量效率。
The invention discloses a hybrid beamforming architecture based on a hybrid connection, an encoder design algorithm and an implementation device. First, based on the design of the unconstrained hybrid encoder based on the idea of continuous interference cancellation, the optimal hybrid coding matrix is designed; secondly, when the optimal hybrid coding matrix is known, the constrained hybrid coding is designed based on the sub-optimized constrained hybrid encoder matrix, the analog encoding matrix and digital encoding matrix of the entire system can be obtained. This algorithm can effectively guarantee the spectral efficiency of the system and improve the energy efficiency of the system while reducing the complexity of system hardware implementation.
Description
技术领域technical field
本发明涉及无线通信技术领域,具体涉及大规模MIMO系统中混合波束赋形架构和编码器算法的设计。The invention relates to the technical field of wireless communication, in particular to the design of a hybrid beamforming architecture and an encoder algorithm in a massive MIMO system.
背景技术Background technique
为了满足5G对系统容量需求的急剧增加,出现了一些新型的无线通信技术。但系统容量的提升主要包括下述三个方面:提高频谱效率、增加小区数量、提升频谱带宽;与之对应的关键技术之一分别是大规模MIMO技术、超密集网络(UDN)、毫米波(mmWave)通信。然而,上述不同技术并不是完全独立的,它们之间相互促进、相互补充。例如,mmWave的波长较短使得在有限的物理空间布置大量的天线成为可能;大规模天线阵列通过波束赋形能够提供更大的天线阵列增益,从而弥补mmWave在传输过程中的损耗。但是,上述技术在相互结合的过程中也产生了一些新的问题。对于mmWave大规模 MIMO系统来说传统的数字波束赋形技术需要射频(RF)链路的数目与天线数目相同,这在具体的硬件实现上是不现实的。因此,传统的数字波束赋形技术不再适用于大规模MIMO系统。In order to meet the sharp increase in system capacity requirements of 5G, some new wireless communication technologies have emerged. However, the improvement of system capacity mainly includes the following three aspects: improving spectral efficiency, increasing the number of cells, and increasing spectral bandwidth; one of the corresponding key technologies is massive MIMO technology, ultra-dense network (UDN), millimeter wave ( mmWave) communication. However, the above-mentioned different technologies are not completely independent, and they promote and complement each other. For example, the shorter wavelength of mmWave makes it possible to arrange a large number of antennas in a limited physical space; large-scale antenna arrays can provide greater antenna array gain through beamforming, thereby making up for the loss of mmWave during transmission. However, some new problems also arise in the process of combining the above technologies with each other. For mmWave massive MIMO systems, traditional digital beamforming technology requires the same number of radio frequency (RF) links as the number of antennas, which is unrealistic in terms of specific hardware implementation. Therefore, traditional digital beamforming techniques are no longer suitable for massive MIMO systems.
混合波束赋形技术作为大规模MIMO系统的关键技术之一,能够有效的减少RF链路的数目,从而降低大规模天线阵列的实现复杂度。目前,关于大规模天线阵列的混合波束赋形架构主要分为两种:全连接架构和部分连接架构。对于全连接架构来说每个RF链路连接到天线阵列的所有阵元上,需要消耗的移相器的数目较多,实现的复杂度较高,但系统模拟端的自由度较高,因此能够提供更高的频谱效率。对于部分连接架构来说,每个RF链路连接到子阵列的全部阵元,需要消耗的移相器的数目较少,实现的复杂度较低,导致系统模拟端的自由度相对较低,因此系统的频谱效率相对于全连接架构来说会有所损失。As one of the key technologies of massive MIMO systems, hybrid beamforming technology can effectively reduce the number of RF links, thereby reducing the complexity of implementing large-scale antenna arrays. At present, there are two main types of hybrid beamforming architectures for large-scale antenna arrays: fully connected architectures and partially connected architectures. For the fully connected architecture, each RF link is connected to all elements of the antenna array, which consumes a large number of phase shifters, and the implementation complexity is high, but the degree of freedom of the system analog end is high, so it can Provides higher spectral efficiency. For the partial connection architecture, each RF link is connected to all the array elements of the sub-array, and the number of phase shifters that needs to be consumed is small, and the complexity of the implementation is low, resulting in a relatively low degree of freedom on the analog side of the system. Therefore, Compared with the fully connected architecture, the spectral efficiency of the system will be lost.
发明内容Contents of the invention
本发明提出了一种混合连接的混合波束赋形架构和编码器设计算法及实现装置,该架构在降低系统硬件实现复杂度的同时能够有效的保证系统的频谱效率,同时有效的提高了系统的能量效率。The present invention proposes a mixed-connected hybrid beamforming architecture, an encoder design algorithm, and an implementation device. This architecture can effectively ensure the spectral efficiency of the system while reducing the complexity of system hardware implementation, and effectively improve the efficiency of the system. energy efficiency.
本发明的具体实现过程如下:Concrete realization process of the present invention is as follows:
提出的混合连接的混合波束赋形架构如图1所示,在该架构中每个子阵连接到多个RF链路上,同时每个RF链路连接到对应子阵的所有天线。The proposed hybrid beamforming architecture of hybrid connections is shown in Fig. 1, in which each subarray is connected to multiple RF links, and each RF link is connected to all antennas of the corresponding subarray.
针对图1的混合波束赋形架构,混合编码器的设计分为两部分:基于连续干扰消除思想的非约束混合编码器的设计;次优化的约束混合编码器设计。For the hybrid beamforming architecture in Figure 1, the design of the hybrid encoder is divided into two parts: the design of an unconstrained hybrid encoder based on the idea of continuous interference cancellation; and the design of a suboptimal constrained hybrid encoder.
第一部分,针对图1混合连接HBF架构,假定发送端天线为Nt,接送端天线数目为Nr,信道矩阵为系统总的RF链的数目为NR=SD,其中D表示子阵列数目,S表示每个子阵列连接的RF链的数目,数字端编码为模拟端编码为为对角阵,为发送的数据流,n为独立高斯白噪声满足n∈CN(0,σ2),发送端的信号可以表示为:In the first part, for the hybrid connection HBF architecture in Figure 1, it is assumed that the number of antennas at the transmitting end is N t , the number of antennas at the receiving end is N r , and the channel matrix is The total number of RF chains in the system is NR = SD, where D represents the number of sub-arrays, S represents the number of RF chains connected to each sub-array, and the digital terminal code is The analog side is coded as is a diagonal matrix, is the sent data stream, n is independent Gaussian white noise satisfying n∈CN(0,σ 2 ), the signal at the sending end can be expressed as:
其中F=FRFB,系统的信道容量可以表示为:Where F=F R F B , the channel capacity of the system can be expressed as:
其中混合块编码矩阵F它的每一行对应一个子阵列的编码,每一列对应一个数据流的编码。同时,F矩阵行相似于模拟编码矩阵,列相似于数字编码矩阵。对此为了算法表示的简化我们提出两点假设:Each row of the hybrid block coding matrix F corresponds to the coding of a sub-array, and each column corresponds to the coding of a data stream. Meanwhile, the rows of the F matrix are similar to the analog encoding matrix, and the columns are similar to the digital encoding matrix. In order to simplify the algorithm expression, we put forward two assumptions:
(1)流经子阵列的数据流数目等于子阵列连接的RF链数目;(1) The number of data streams flowing through the subarray is equal to the number of RF chains connected to the subarray;
(2)同一数据流在相邻的子阵列中传输(不影响算法性能)。(2) The same data stream is transmitted in adjacent sub-arrays (without affecting algorithm performance).
基于上述假设我们考虑到不同的数据流被相同的多个子阵列传输, 混合块编码矩阵F可以写为F=[F1,F2,...,FK],从而混合编码矩阵的优化问题可以分解为多个编码子矩阵的优化问题。系统的频谱效率可以表示为Based on the above assumptions, we consider that different data streams are transmitted by the same multiple sub-arrays, the mixed block coding matrix F can be written as F=[F 1 ,F 2 ,...,F K ], thus the optimization problem of the mixed coding matrix An optimization problem that can be decomposed into multiple encoding submatrices. The spectral efficiency of the system can be expressed as
然后根据图2的流程可以得到最优的混合编码矩阵F。Then the optimal mixed coding matrix F can be obtained according to the flow in FIG. 2 .
第二部分是在最优的混合编码矩阵F已知的情况下,设计约束的混合编码矩阵。假定约束混合编码矩阵为G,矩阵G和矩阵F具有相同的结构,因此G可以表示为G=[G1,G2,...,GK],从而有The second part is to design the constrained mixed coding matrix when the optimal mixed coding matrix F is known. Assuming that the constraint mixed coding matrix is G, matrix G and matrix F have the same structure, so G can be expressed as G=[G 1 ,G 2 ,...,G K ], so that
根据上述描述我们知道最优的约束编码矩阵可以通过下式获得According to the above description, we know that the optimal constraint coding matrix can be obtained by the following formula
通过整个矩阵的近似可以得到每个子矩阵对应的编码矩阵也是近似的,从而有Through the approximation of the entire matrix, it can be obtained that the encoding matrix corresponding to each sub-matrix is also approximate, so that
不考虑Gi,sub中的非零元素,我们可以进一步得到Regardless of the non-zero elements in G i,sub , we can further get
其中和分别为Gi,sub和Fi,sub中的非零元素。为了算法描述的简化,我们假设和按照前面对矩阵划分的方法可以划分为两部分,同时分别对和进行极分解得到in and are the non-zero elements in G i,sub and F i,sub respectively. To simplify the algorithm description, we assume and According to the previous method of matrix division, it can be divided into two parts, and the and undergo extreme decomposition to get
其中P和M分别满足PHP=IS和MHM=IS。定义 B=[B1,B2]和W=[W1,W2],从而有in P and M respectively satisfy P H P = I S and M H M = I S . Define B=[B 1 ,B 2 ] and W=[W 1 ,W 2 ], so that
根据上式我们可以得到子阵列i对应的模拟和数字编码矩阵可以表示为According to the above formula, we can get the analog and digital encoding matrix corresponding to subarray i, which can be expressed as
对进行归一化得到right normalized to get
重复上述过程D次就可以获得整个系统的模拟编码矩阵和数字编码矩阵。By repeating the above process D times, the analog encoding matrix and digital encoding matrix of the entire system can be obtained.
附图说明Description of drawings
图1为混合连接的混合波束赋形架构。Figure 1 shows the hybrid beamforming architecture for hybrid connections.
图2为基于连续干扰消除的非约束混合编码算法框图。Fig. 2 is a block diagram of an unconstrained hybrid coding algorithm based on continuous interference cancellation.
图3为混合连接的混合波束赋形架构下编码器实现装置。Fig. 3 is a device for implementing an encoder under a hybrid beamforming architecture with hybrid connections.
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Cited By (8)
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CN113794709A (en) * | 2021-09-07 | 2021-12-14 | 北京理工大学 | Hybrid coding method for binary sparse matrix |
CN113794709B (en) * | 2021-09-07 | 2022-06-24 | 北京理工大学 | A Hybrid Coding Method for Binary Sparse Matrix |
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