Joint channel information acquisition method of large-scale MIMO system
A technology of joint channel and acquisition method, applied in the field of joint channel information acquisition of massive MIMO system
Active Publication Date: 2020-10-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Firstly, for the beamforming design, a scheme based on MADMM (Multi-stream Alternating Multiplier Method) is proposed to update the variables alternately and iteratively, and the Riemannian manifold and a new Oblique manifold are introduced. Based on the idea of manifold search, the solution For problems such as discrete constant modulus constraints and unit norm constraints, after converging to the optimal beam property matrix, the channel information is sparsely restored
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[0109] The technical scheme of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0110] S1, system model and optimization objective
[0111] The present invention considers a figure 1 The shown mmWave large-MIMO single-user HBF system using a network of phase shifters. N is configured at the base station t a transmitting antenna and RF links, equipped with N r antennas and The UEs of the RF links transmit N s pieces of data flow, and satisfy Such as figure 1 Shown, N s A stream of data first passes through a dimension of digital processor F BB , then pass RF links connected to a dimension of The analog beamforming processor F RF , after the channel H is sent through the antenna, it is respectively passed through the analog combination processor at the receiving end and digital combination processor Processing, reduction to get N s stream of data. Assuming that the millimeter-wave channel used is a ...
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The invention belongs to the technical field of wireless communication, and particularly relates to a joint channel information acquisition method of a large-scale MIMO system. According to the method, a beam forming design and channel estimation problem is constructed into a multivariable matrix solving problem by taking minimization of a mean square error as a target. In order to more effectively solve the problem, a frame based on joint optimization is considered, and a beam forming matrix and a channel information matrix are obtained in sequence. Firstly, beam forming design is carried out; a scheme based on an MADM (Multi-Stream Alternate Multipliers) is provided to carry out alternative iterative updating on variables; a Riemannian manifold and a new Oblique manifold are introduced,the problems of discrete constant modulus constraints, unit norm constraints and the like are solved on the basis of the idea of manifold search, and after an optimal beam occurrence matrix is converged, sparse recovery is carried out on channel information.
Description
technical field [0001] The invention belongs to the technical field of wireless communication, relates to millimeter-wave communication (millimeter-Wave (mmWave) communication), hybrid beamforming, Riemannian manifold, multiple input multiple output technology (Multiple Input Multiple Output, MIMO), specifically relates to a large Joint channel information acquisition method for massive MIMO systems. Background technique [0002] Since the millimeter wave is seriously affected by the environment, the signal attenuation is large, and the scattering and penetration capabilities are poor, and it is easy to be blocked. Overcoming the free space path loss and signal attenuation of signal transmission is a key to millimeter wave communication. Based on the short wavelength and high frequency of millimeter wave, massive MIMO technology can be used to obtain higher gain and resist fading. Massive MIMO is an extension and extension based on MIMO. By configuring a large-scale antenna...
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IPC IPC(8): H04B7/08H04B7/06H04B7/0456H04B7/0413
CPCH04B7/0854H04B7/0857H04B7/086H04B7/0617H04B7/0632H04B7/0456H04B7/0413Y02D30/70
Inventor 刘红赵柏睿张忠培
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA