Method for processing multiple-user multiple input multiple output (MU-MIMO) system and base station
A processing method and base station technology, applied in the field of MU-MIMO system processing method and base station, can solve a large number of calculation processes, increase system complexity and other problems, and achieve the effect of efficient user grouping
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Embodiment 1
[0047] This embodiment illustrates how the base station uses known codebooks to construct a codeword correlation coefficient table or a codeword distance table. Of course, the correlation coefficient or codeword distance calculation method used therein is only one of them, and other methods can also be used in practice. Calculation of the correlation coefficient or distance in the following way: Assume that the known codebook C is used for a base station configured with 4 transmitting antennas. Wherein C includes 16 codewords of rank=1, 16 codewords of rank=2, 8 codewords of rank=3 and 4 codewords of rank=4. This embodiment mainly illustrates the construction of rank=1 and 2 The correlation coefficient or distance table T 1 and T 2 .
[0048] (1) The case of calculating the correlation coefficient between all codewords whose rank (rank) is n in the codebook C is:
[0049] For the case of rank=1, the 16 codeword column vectors are respectively Then calculate the correlatio...
Embodiment 2
[0062] This embodiment is used to illustrate that the base station side selects N from the user set to be grouped. MU = 4 users paired to use MU-MIMO. Assume that there are currently 20 users to be grouped to form a set as Ω={U 1 , U 2 ,...U 20}, the current set of MU-MIMO group users The base station sets the MU-MIMO user correlation coefficient threshold TH r = 0.2.
[0063] Step 1, the base station first selects the main scheduling user among them, set U 3 , and the index of the most recent feedback rank=1 codeword is 3, the base station will set Ω MU update to Ω MU ={U 3}, then in form T 1 All values in row 3 are selected less than th r =0.2 value, let them be respectively Then its corresponding column index constitutes the set I 1 ={2,8,12,14,16}, then in Ω={U 1 , U 2 ,...U 20} to find the codeword index for user feedback belongs to I 1 = {2, 8, 12, 14, 16} set of users, set as Ω 1 ={U 1 , U 4 , U 5 , U 7 , U 10 , U 12 , U 16}, update Ω to Ω 1...
Embodiment 3
[0068] This embodiment is used to illustrate that the base station selects N MU = 4 users paired to use MU-MIMO. Assume that there are currently 20 users to be grouped to form a set as Ω={U 1 , U 2 ,...U 20}, the current set of MU-MIMO group users The base station sets the MU-MIMO user correlation threshold TH r = 0.2.
[0069] Step 1, the base station is first at Ω={U 1 , U 2 ,...U 20} to select the main scheduling user, set to U 3 , and the index of the most recent feedback rank=1 codeword is 3, the base station will set Ω MU update to Ω MU ={U 3}, then in form T 1 All values in row 3 are selected less than th r =0.2 values, let them be Then its corresponding column index constitutes the set I 1 ={2,8,12,14,16}, then in Ω={U 1 , U 2 ,...U 20} to find the user's codeword index belongs to I 1 = {2, 8, 12, 14, 16} set of users, set as Ω 1 ={U 1 , U 4 , U 5 , U 7 , U 10 , U 12 , U 16}, update Ω to Ω 1 , namely Ω={U 1 , U 4 , U 5 , U 7 , U 10 ...
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