Southeast University

Bin Jiang

Xiqi Gao

Xiaohu You

Wen Zhong

Dongming Wang

Shi Jin

Teer Ba

Jue Wang

Yuan Zhang

Wenjin Wang

Chen Sun

Ting Li

Yanxiang Jiang

Meili Zhou

Long Qin

Zhiwen Pan

A wireless communication method utilizes a large-scale antenna array, which is deployed at the base station and can be a one-dimensional or two-dimensional array and can form tens of beams over the area covered by the base station. The communications method utilizes beam domain division of spatial resources at the base station side utilizing an analog multi-beam forming network or a digital domain multi-beam forming method. The base station carries out wireless communication with multiple users with the same time frequency resource and with the communications process implemented in the beam domain. Scheduling is accomplished through the utilization of a deterministic unitary matrix to form beams. The unitary matrix is a correlation matrix of interference that includes a channel characteristics mode energy coupling matrix, the beam allocation providing beam sets of different users that are non-overlapping to distinguish users in the beam domain.

Wireless communication method utilizing a large-scale antenna array

A pilot and channel estimation method for SDMA MIMO transmission downlink is provided in the present invention, and the method provides possibility for saving the orthogonal pilot resources; the pilot signals of different users in the transmitting antenna domain can occupy the same time-frequency resources, and thereby the pilot overhead of system resources can be reduced greatly; the method includes: for the MIMO transmission downlink that employs pre-coding for SDMA, taking the quantity of orthogonal pilot resources occupied by the users in the pre-coding domain as the number of data streams that can be transmitted or the number of spatial dimensions occupied first, at the transmitting end of the base station; then, performing SDMA transmission pre-coding for the orthogonal pilots in the pre-coding domain in the same way as the data signals, to obtain the pilot signals of the users in the transmitting antenna domain; wherein, the pilots of the users in the pre-coding domain can be orthogonal in the frequency domain or code domain, and the pilots of different users in the pre-coding domain can be identical or not identical to each other; the pilot signals of different users in the transmitting antenna domain can occupy the same time-frequency resources.

Pilot and channel estimation method for SDMA MIMO transmission downlink

A multi-antenna channel estimation method based on polyphase decomposition includes: receiving frequency domain received signals transformed using discrete fourier transformation (DFT) in pilot symbols; performing phase correction on the frequency domain received signals; performing polyphase decomposition on the frequency domain received signals which are corrected using phase correction and acquiring polyphase signals; performing interpolation on the polyphase signals and acquiring the estimation values of the multi-antenna channel parameters with various linear combinations on each frequency; acquiring decorrelation array based on the pilot structure of the transmission antenna and decorrelating the estimation values of the multi-antenna channel parameters with various linear combination on each frequency using the decorrelation array and acquiring channel parameters of the pilot symbols on each frequency; acquiring channel parameters of data symbols based on the channel parameters of the pilot symbols. With the present invention, the inversion problem in multi-antenna channel estimation is avoided with lower complexity, and results of the multi-antenna channel estimation method become more accurate since the DFT and filtering are performed in the interpolation after polyphase decomposition.

Multi-antenna channel estimation method based on polyphase decomposition

An adaptive transmission scheme of the channel environment in the multi-antenna wireless transmission system can raise the spectrum use rate and power efficiency of the communication system. Compared with traditional single antenna input and single antenna output, the channel environment in MIMO wireless communication system is more complex. When the terminal is moving, the different types of channels between terminal and base station can be gone through and then its capacity can be changed more largely. Embodiments of the disclosure are directed to systems that transmit high speed data by way of a plurality of transmitting and/or receiving antennae, and particularly to a transmission scheme in different channel environments in a multi-antenna wireless transmission system.

Self-adapting transmission scheme of the channel environment in the multi-antenna wireless transmission system

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Jiangsu, China

Bin Jiang