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In section "Design of MIMO processing matrices", we derive the MIMO processing matrices and in the section "Numerical results", we present the results of simulations.
Therefore, the tx-rx processing matrices are independently designed at each BS.
As a consequence, we either need to have some central node that would use global CSI to find the optimum MIMO processing matrices or the BS and the RN have to exchange the CSI and the respective MIMO processing matrices.
The proposed centralized algorithm is proposed to derive the tx-rx processing matrices jointly at the central processing unit.
Also, our goal is to design MIMO processing matrices at the BS and at the RN independently from each other.
We derived the MIMO processing matrices at the BS, RN and the UTs using only local CSI.
Similar(33)
This "guilt-by-association" concept has already been used to relate hundreds of unidentified genes to inflammation, steroid-synthesis, insulin-synthesis, neurotransmitter processing, matrix remodelling and other processes [ 7, 13].
Here, T is its M R × M R processing matrix.
In [18], the receive processing matrix was firstly computed by CSI.
Then,the transmit processing matrix and receive weight coefficient were computed based on MMSE.
Each user decodes the desired data by multiplying with the receive processing matrix.
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