Multiple-input multiple-output (MIMO) multicasting beamforming method
A beamforming method and beamforming vector technology, applied in diversity/multi-antenna systems, space transmit diversity and other directions, can solve problems such as large computational load, inability to effectively apply actual communication systems, poor performance, etc., and achieve high channel capacity , Significant performance advantages, the effect of reducing computational complexity
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Embodiment 1
[0018] Embodiment 1: MIMO multicast beamforming method with 8 transmit antennas and 16 user scenarios
[0019] In this embodiment, the base station is configured with 8 transmitting antennas, and a single multicast user group is taken as an example, and the group includes 16 users, to introduce specific implementation manners of the present invention.
[0020] figure 1 A schematic diagram of the MIMO downlink signal processing process for user k is given. In the source sending step A1 at the base station, the source signal is x and satisfies After the power allocation step A2 allocates the power P to the user k, and then the beamforming vector w provided in the beamforming step A3 completes the MIMO transmission beamforming of the base station, then the transmission signal of the base station can be expressed as The signal is physically transmitted through the transmission environment of user k: wherein the channel transmission step A4 makes the transmitted signal pass thr...
Embodiment 2
[0043] Embodiment 2: MIMO multicast beamforming method with 16 transmitting antennas and variable number of users
[0044] In this embodiment, the specific implementation manner of the present invention is introduced by taking the following scenario where the base station is configured with 16 transmitting antennas, a single multicast user group, and the group includes a variable number of users as an example.
[0045] Assume that the number of transmit antenna configurations at the base station is M=16, the transmit power P=1, and the number of receive antenna configurations for each user in the MIMO multicast user group is N k =1, the number K of users in the group is variable, and the range of change is K∈[2,32]. Using Rayleigh flat fading channel, the noise variance of each user subchannel is And it is assumed that the transmitting end accurately knows the MIMO channel state information (CSI) corresponding to each user.
[0046] For each determined number of users K in ...
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