Gao Feifei

Bio: Gao Feifei is an academic researcher. The author has contributed to research in topics: MIMO & Spectral efficiency. The author has an hindex of 2, co-authored 2 publications receiving 21 citations.

Multiuser channel estimating and tracking method for large-scale MIMO system

Abstract: The invention provides a multiuser channel estimating and tracking method for a large-scale MIMO system. The multiuser channel estimating and tracking method comprises step 1, obtaining downlink user space channel information and space angle information through a downlink preamble frame pilot sequence; step 2, grouping downlink users according to the downlink user space channel information and the space angle information of the downlink users; and step 3, carrying out channel estimation and feedback according to the grouping condition of the downlink channel users. According to the multiuser channel estimating and tracking method for the large-scale MIMO system provided by the invention, no synchronization between the users is needed, and more user terminals can be served. Moreover, the downlink training pilot cost can be reduced, and the application of the FDD in the large-scale MIMO communication system is promoted; and the implementation complexity of the system is reduced, and the channel estimation precision in a time varying condition improved.

Channel tracking and hybrid precoding method for large-scale MIMO system

Abstract: The invention provides a channel tracking and hybrid precoding method and device for a large-scale MIMO system. The channel tracking method comprises the following steps: determining angle state prediction information according to an angle value of an incident signal and a preset angle state prediction rule; determining channel space rotation information according to the angle state prediction information; and determining channel state information according to the channel space rotation information. The hybrid precoding method comprises the following steps: determining an analog precoding parameter and a digital precoding parameter according to the channel state information, wherein the channel state information is determined according to the angle value of the incident signal and the preset angle state prediction rule; and performing hybrid precoding for multiple scheduling signals in a scheduling signal set according to the analog precoding parameter and the digital precoding parameter. According to the channel tracking and hybrid precoding method and device provided by the invention, the large-scale MIMO angle domain signal transmission characteristics are fully used, the complexity of channel tracking can be reduced, and the spectral efficiency and energy efficiency of the system can be improved.

Channel tracking and hybrid precoding method for large-scale MIMO system

Abstract: The invention provides a channel tracking and hybrid precoding method and device for a large-scale MIMO system. The channel tracking method comprises the following steps: determining angle state prediction information according to an angle value of an incident signal and a preset angle state prediction rule; determining channel space rotation information according to the angle state prediction information; and determining channel state information according to the channel space rotation information. The hybrid precoding method comprises the following steps: determining an analog precoding parameter and a digital precoding parameter according to the channel state information, wherein the channel state information is determined according to the angle value of the incident signal and the preset angle state prediction rule; and performing hybrid precoding for multiple scheduling signals in a scheduling signal set according to the analog precoding parameter and the digital precoding parameter. According to the channel tracking and hybrid precoding method and device provided by the invention, the large-scale MIMO angle domain signal transmission characteristics are fully used, the complexity of channel tracking can be reduced, and the spectral efficiency and energy efficiency of the system can be improved.

Sparse estimation method of channel parameters in time-varying large-scale MIMO network

Abstract: The invention discloses a sparse estimation method of channel parameters in a time-varying large-scale MIMO network The method comprises the following steps: constructing a virtual channel sparse signal model of a base station received signal; selecting a time slot with the minimum time slot sequence number from unselected time slots; calculating a virtual channel variance value by using a Kalmanfilter; calculating a virtual channel value; calculating a virtual channel autocorrelation posteriori statistical probability of each cellular network cell user in each time slot; calculating a virtual channel mutual correlation posteriori statistical probability of each cellular network cell user in each adjacent time slot; jointly estimating a virtual channel transfer state value and a virtualchannel transfer state noise variance value of each cellular network cell user; and estimating a channel sparsity parameter of each cellular network cell user by using a low complexity search algorithm The sparse estimation method disclosed by the invention has the advantage of being applicable to the time-varying large-scale MIMO network

Large-scale MIMO satellite mobile communication method and system

Abstract: Disclosed are a large-scale MIMO satellite mobile communication method and system. The method comprises: a satellite or a gateway station grouping users to be served in a coverage area by using space angle information of each user to form a space division user group; user terminals in the same group communicating with the satellite by using the same time-frequency resource, and user terminals in different groups communicating with the satellite by using different time-frequency resources; for the user terminals in the same space division user group, the satellite or the gateway station calculating a downlink precoding vector and an uplink receiving processing vector that correspond to each user terminal by using statistical channel information of each user terminal, and then performing downlink precoding transmission and uplink receiving signal processing by using the obtained vectors; and the user terminal performing frequency and time compensation on a received signal and a sent signal by utilizing Doppler frequency shift caused by satellite movement and the minimum propagation time delay of long-distance propagation. According to the present invention, the spectral efficiency and the power efficiency of a satellite mobile communication system can be greatly improved, and the implementation complexity is reduced.

Channel state information reporting method and device, and channel state information receiving method and device

Abstract: Provided are channel state information reporting method and apparatus, and channel state information receiving method and apparatus. The channel state information reporting method includes: receiving a reference signal sent by a second communication node; and determining, according to a first type reporting configuration signaling associated with the reference signal, at least one of a first type channel state information set or a second type channel state information set, and reporting the at least one of the first type channel state information set or the second type channel state information set to the second communication node. The first type channel state information set includes at least one of a reference signal resource index, a reference signal resource set index, a reference signal resource setting index, a reporting configuration index, a reference signal port group index, a reference signal port group set index, a port index, or rank indicator information. The second type channel state information set comprises at least one of precoding matrix indicator information, channel quality indicator information, an amplitude coefficient, a phase coefficient, or a reference signal received power.

Large-scale access method based on wave beam spaces

Abstract: The invention discloses a large-scale access method based on a wave beam spaces. A base station obtains statistical channel state information of the base station to all terminals through channel estimation, the base station divides the terminals into several clusters then according to obtained azimuth angles of the terminals and design wave beams for all the terminals according to according to wave beam space channel information in a channel autocorrelation matrix; the base station emits signals, after beam-shaping and superposition, of all the terminals; and, finally, after the terminals receives the signals, the signals of the terminals having weak channel gains in the same cluster are decoded firstly, the signals of the terminals having the weak channel gains are subtracted from the received signals then, the own signals are decoded finally, and then interference between the terminals in the same cluster is reduced. An effective non-orthogonal multi-access method is provided for theInternet of Things having large-scale terminal access and the poor computing ability of communication terminals.