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Consequently, the i-th user can be eliminated from problem (12) without loss of optimality.
Apparently the precoding matrix can diagonalize channel matrix, which ensures that the interference at each user can be eliminated.
Apparently the precoding matrix can diagonalize channel matrix, which ensures that the interference at each user can be eliminated, H H Q H = α R 2 diag { | h 1 | 2, …, | h M | 2 }. (12).
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The concept of massive MIMO was first proposed by Marzetta [7], showing that by employing unlimited number of antennas at a base station (BS), the effect of thermal noise and small-scale fading can be averaged out, the channel vectors between the users and the BS become pairwise orthogonal, and the inter-user interference can be eliminated.
In the massive MIMO system, the white noise and the inter-user interference can be eliminated by an LALP method [15, 19, 31].
We show that as N grows larger, the harmful effect of LI can be wiped out when q>0 and the multi-user interference (MUI), CSI estimation error and inter-user interference (IUI) can be eliminated when p>0.
We use the random strings and ESK for mutual authentication of the users and servers; hence the malicious users cannot pretend to be the authorized users and impersonated requests can be eliminated.
Variable j can be eliminated if v j < u for some user-defined threshold u ∈ [0, ∞).
In BD precoding [4], the ICI in (5) can be eliminated by pre-multiplying R u data subcarrier streams of the u th user with precoding matrices.
POLIO can be eliminated.
Elements which can be eliminated have been eliminated.
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