Abstract: The present disclosure relates to a skywave large-scale MIMO communication method, model, and system. A skywave communication base station in a short waveband is constructed using a large-scale antenna array, wherein skywave large-scale MIMO communication is carried out between the skywave communication base station and a user terminal in a coverage area by ionospheric reflection. The skywave communication base station determines a spacing of the large-scale antenna array according to a maximum operating frequency, and communicates with the user terminal based on a TDD communication mode, wherein a skywave large-scale MIMO signal is transmitted based on an OFDM modulation mode or a power efficiency improvement modulation mode. The skywave communication base station selects a communication carrier frequency within a short waveband range according to a real-time ionospheric channel characteristic, and adaptively selects an OFDM modulation parameter and a signal frame structure.

Abstract: The present invention discloses a massive multiple-input multiple-output (MIMO) beam domain robust precoding transmission method and system. The method is based on base station (BS)-side and user-side refined sampling steering vector matrices, and considers the influence of channel aging caused by mobility, where obtained channel state information is refined beam domain a posteriori statistical channel information including channel mean and variance information.

Abstract: Disclosed are a method and system for acquiring massive MIMO beam domain statistical channel information. A refined beam domain channel model involved in the disclosed method is based on a refined sampling steering vector matrix. Compared with a traditional DFT matrix-based beam domain channel model, when antenna size is limited, said model is closer to a physical channel model, and provides a model basis for solving the problem of the universality of massive MIMO for various typical mobile scenarios under a constraint on antenna size. The present invention provides a method for acquiring massive MIMO refined beam domain a priori statistical channel information and a posteriori statistical channel information, the a posteriori statistical channel information comprising mean and variance information of the a posteriori channel.

Abstract: The present disclosure relates to a skywave large-scale MIMO communication method, model, and system. A skywave communication base station in a short waveband is constructed using a large-scale antenna array, wherein skywave large-scale MIMO communication is carried out between the skywave communication base station and a user terminal in a coverage area by ionospheric reflection. The skywave communication base station determines a spacing of the large-scale antenna array according to a maximum operating frequency, and communicates with the user terminal based on a TDD communication mode, wherein a skywave large-scale MIMO signal is transmitted based on an OFDM modulation mode or a power efficiency improvement modulation mode. The skywave communication base station selects a communication carrier frequency within a short waveband range according to a real-time ionospheric channel characteristic, and adaptively selects an OFDM modulation parameter and a signal frame structure.

Abstract: The present invention discloses a massive multiple-input multiple-output (MIMO) beam domain robust precoding transmission method and system. The method is based on base station (BS)-side and user-side refined sampling steering vector matrices, and considers the influence of channel aging caused by mobility, where obtained channel state information is refined beam domain a posteriori statistical channel information including channel mean and variance information.

Abstract: A massive multiple-input multiple-output (MIMO) robust precoding transmission method under imperfect channel state information (CSI), wherein the imperfect CSI obtained by the base station (BS) side of the massive MIMO system is modeled as an a posteriori statistical channel model including channel mean and channel variance information. The model considers the effects of channel estimation error, channel aging and spatial correlation. The BS performs the robust precoding transmission by using the a posteriori statistical channel model, so that the universality problem of the massive MIMO to various typical moving scenarios can be solved, and high spectral efficiency is achieved.

Abstract: The invention discloses a beam domain optical wireless communication method and system. A base station is equipped with an array of optical transceiver ports or transmitter/receiver ports and a lens, each optical transceiver port forms a beam with centralized energy through the lens, and the base station generates beams in different directions by using the optical transceiver port array and the lens, thereby realizing multi-beam coverage or large-scale beam coverage in a communication region. The base station transmits/receives signals of multiple or a large number of user terminals by using channel state information of each user terminal, and different optical transceiver ports transmit/receive signals in different directions, thereby realizing simultaneous communication and bidirectional communication between the base station and different user terminals.

Abstract: The invention discloses a beam domain optical wireless communication method and system. A base station is equipped with an array of optical transceiver ports or transmitter/receiver ports and a lens, each optical transceiver port forms a beam with centralized energy through the lens, and the base station generates beams in different directions by using the optical transceiver port array and the lens, thereby realizing multi-beam coverage or large-scale beam coverage in a communication region. The base station transmits/receives signals of multiple or a large number of user terminals by using channel state information of each user terminal, and different optical transceiver ports transmit/receive signals in different directions, thereby realizing simultaneous communication and bidirectional communication between the base station and different user terminals.

Abstract: A massive multiple-input multiple-output (MIMO) robust precoding transmission method under imperfect channel state information (CSI), wherein the imperfect CSI obtained by the base station (BS) side of the massive MIMO system is modeled as an a posteriori statistical channel model including channel mean and channel variance information. The model considers the effects of channel estimation error, channel aging and spatial correlation. The BS performs the robust precoding transmission by using the a posteriori statistical channel model, so that the universality problem of the massive MIMO to various typical moving scenarios can be solved, and high spectral efficiency is achieved.