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According to the protocol description, the key idea of relay precoding design in this article is quite similar to the block diagonalization (BD) scheme, where the co-channel interference can be eliminated by using the null space of channel matrix.
The flux vector can be expressed using the null space matrix NS of S as v = NS ⋅ t, where the length of the coefficient vector t is equal to the rank of NS and to the nullity DoF (degrees-of-freedom) of S[ 23].
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The methods all use the null space and associated null vectors of the structural stiffness matrix.
We then evaluated the uncertainty associated with the degree-day, a modified degree-day and energy balance snowmelt model predictions using the null-space Monte Carlo approach.
BD method decomposes a multi-user MIMO channel into multiple single user MIMO channels in parallel to completely cancel the CCI by making use of the null space.
Making use of the null space decomposition technique, the original optimization formulation in the full space is mathematically simplified, and solved in the reduced space by means of the reduced SQP method.
We use Null to denote the null space of Φ and.
Specifically, we use a vector in the null space of the total inter-user interferences as the precoder.
D-LDA does not use the information inside the null space, as some discriminative information may be lost.
By using the (l_{p} -null space property and a sufficient and necessary condition to recover a sparse vector via these two model_{p} -nullent an analytic exprespace of (propertyand)) such that (l_{p})-minimization isufficientnt to (l_{0})-minimizandonecessary
We use N ( L ) and R ( L ) to denote the null space and the range space of a linear operator L. In this section, we study the stability result about a positive solution.
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