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For these applications, the matrices Φ(n) are formed with 0's and 1's, and they can be interpreted as allocation matrices used for allocating some resources r n to the output mode‐ (N1+1).
These resources may include flow entries, data traffic indices, traffic history, and bandwidth allocation matrices.
A methodology is proposed to design these allocation matrices leading to finite sets of feasible STS schemes with guaranteed blind symbol recovery.
Power allocation matrices are computed according to the ARITH-MSE criterion in [7] for hard decoding and uniform power allocation for soft/iterative decodingd.
This model is parametrized by two allocation matrices with variable structure, which allow to control, respectively, the allocation of multiple data streams and spreading codes to the transmit antennas.
This combination, determined by the allocation matrices, is defined by a set of N indices {r1,…,r N } such that ∏ n = 1 N ϕ r n, r ( n ) = 1.
Similar(43)
The signal vector sent from BS to scheduled user on subcarrier is given as, where is the unitary beamforming matrix at BS for subcarrier and is the diagonal power allocation matrix with th diagonal entry as, indicating the power allocated to substream of the user served by BS on subcarrier.
Allocation Matrix.
Link Rate Allocation Matrix.
The link rate allocation matrix.
In Equation 6, an, m represents the allocation matrix.
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