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V 1,k and V 2,k represent the equivalent pre-coding matrices of user 1 and user 2 in the kth cell, and the dimension is N t × d, V k = [V 1,k, V 2,k ], is N t × 2d dimension matrix, k = 1,2,…, K. Through the above analysis, the interference channel model described in Fig. 4 can be equivalent to that in Fig. 5.
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Figure 13 Pearson correlation matrices of users' de-seasoned event rates.
Compute the intra-cell interference suppression matrices of users u 1,1, u 2,1, u 1,2 and u 2,2, respectively.
By comparing the current interest matrices of users, their current interest difference can be derived, where a small user interest difference means the possibly similar user trajectories and behaviors.
The same model can also be used for SU-MIMO with small modifications, if the precoding matrices of users are assumed semi-unitary and isotropically distributed on G N j, ℓ j.
where is the MIMO channel matrix of user.
The channel matrix can be assumed as the virtual channel matrix of user after precoding.
The CFO matrix of user is denoted and is a diagonal matrix with diagonal elements equal to.
Let V[k](n) denote the precoding matrix of user k at a time-frequency slot, such as (18).
Let be the received DL response matrix of user, and the corresponding ZF/LN receiver matrix in the case of ideal DL precoding.
The effective channel matrix of user k can be treated as a SU-MIMO channel with transmit antenna number Ma,kand receive antenna number Na,k.
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