Large-scale MIMO satellite mobile communication method and system

1. A large-scale multiple-input multiple-output (MIMO) satellite mobile communication method applied to a satellite or a gateway station associated to the satellite, wherein the satellite is equipped with an antenna array to communicate with user terminals in a coverage area; the method comprises the following steps:

using spatial angle information of the user terminals, by the satellite or gateway station, to group the users to be served in the coverage area to form space division user groups, wherein the user terminals in the same space division user group use a same time-frequency resources to communicate with the satellite, while the user terminals in different space division user groups use different time-frequency resources to communicate with the satellite;

for the user terminals in the same space division user group, using statistical channel information, including spatial angle information and average channel energy, of each user terminal to calculate a downlink precoding vector or uplink receiving processing vector corresponding to each user terminal, and using the obtained vector to perform downlink precoding transmission or uplink received signal processing, by the satellite or gateway station;

performing user grouping and uplink and downlink transmission process dynamically, with a change of the statistical channel information, in a movement process of the satellite or user terminals,

wherein in the user grouping process, the spatial angle range of the satellite coverage area is divided into a corresponding number of sub-ranges by using several fixed reference spatial angles, which consist of a preset number of groups of reference spatial angle, and the array direction vectors corresponding to different reference spatial angles in each reference spatial angle group are orthogonal to each other; the spatial angle information of each user is utilized to determine a sub-range to which the user belongs; the user terminals to be served are grouped into space division user groups, different users in the same sub-range are assigned to different user groups, and the sub-range to which the users in the same user group belong corresponds to the same reference spatial angle group; the users in the space division user group use the same time-frequency resources to communicate with the satellite in the communication process, while the users in different space division user groups use different time-frequency resources to communicate with the satellite in the communication process.

2. The large-scale MIMO satellite mobile communication method according to claim 1 , wherein the statistical channel information is obtained through an uplink detecting process or from feedback information of the user terminals; in the uplink detecting process, each user sends a detecting signal periodically, and the satellite estimates the spatial angle or average channel energy information of each user according to the received detecting signal; the feedback information of each user terminal includes the spatial angle information, average channel energy and geographical location information of the user.

3. The large-scale MIMO satellite mobile communication method according to claim 1 , wherein the downlink precoding vector is calculated according to an average signal to loss plus noise ratio (ASLNR) criterion; the ASLNR of a user terminal is the ratio of the average power or expected power of signals received by the user when the signals are sent to the user to the sum of the average power or expected power leaked to other users and the power of noise, and the downlink precoding vector maximizes ASLNR of the user terminal; the downlink precoding vector is obtained by closed-form calculation with the spatial angle information and the average channel energy.

4. The large-scale MIMO satellite mobile communication method according to claim 1 , wherein the uplink receiving processing vector is obtained by closed-form calculation according to an average signal to interference plus noise ratio (ASINR) criterion; the ASINR of a user terminal is the ratio of the average power or expected power of signals sent by the user to the sum of the average power or expected power of signals sent by other users and the power of noise in signals formed by a user receiving processing vector, and the uplink receiving processing vector maximizes ASINR of the user terminal; the uplink receiving processing vector is obtained by closed-form calculation with the spatial angle information and the average channel energy.

5. A device at the satellite side for large-scale MIMO satellite mobile communication, comprising a memory unit, a processor and a computer program which is stored in the memory unit and executable on the processor, wherein the computer program, when loaded to the processor, implements the large-scale MIMO satellite mobile communication method according to claim 1 .