Descending multi-user association space division multiplex signal transmitting and receiving method
A technology of space division multiplexing and transmission method, applied in signal channel, error prevention/detection through diversity reception, multi-frequency code system, etc., can solve problems such as inability to use space division multiplexing technology, limited number of antennas, etc.
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[0097] FIG. 3 is a block diagram of downlink multi-user space division multiplexing, assuming that the number of antennas at the transmitting end (such as a base station) is equal to the number of users of space division multiplexing (that is, the number of transmitting antennas is equal to the number of receiving antennas). a 1 , a 2 ,...a K are the pre-transmission signals of the K transmitting antennas at the same time and on the same subcarrier respectively. Here we ignore the IFFT (Inverse Fast Fourier Transform) at the sending end and the FFT (Fast Fourier Transform) module at the receiving end, and all signals are processed in the frequency domain. The specific implementation includes the following steps:
[0098] 1) The sending end and the receiving end perform QL (orthogonal lower triangular matrix) decomposition on the channel estimation matrix H respectively, and H=F can be obtained T ×S. Among them, F is a K-dimensional orthogonal matrix; S is a K-dimensional ...
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[0115] In the present invention, the transmission power of each transmitting antenna can be further adjusted by using the water filling theorem, so as to improve the channel capacity of the system. See Figure 4 for a specific implementation. Similarly, a 1 , a 2 ,...a K are the pre-transmission signals sent by K transmitting antennas at the same time and on the same subcarrier respectively, and the number of transmitting antennas is K. Ignoring the IFFT module at the sending end and the FFT module at the receiving end, all signals are processed in the frequency domain. The specific implementation method comprises the following steps:
[0116] 1) The sending end and the receiving end respectively perform QL decomposition on the channel estimation matrix H to obtain the ideal channel estimation matrix H=F T ×S. Among them, F is a K-dimensional orthogonal matrix, and S is a K-dimensional lower triangular matrix;
[0117] 2) The transmitting end allocates transmission power...
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