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By considering the quantization distortion as noise, the channel model represented in (14) will be a MIMO channel with unequal noise power at the receive antennas.
Finally, by considering the quantization of these results, we show that for any locally compact group G, Ap G), equipped with an appropriate operator space structure, is a quantized hyper-Tauberian algebra.
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Hence, considering the quantization noise caused by shifted compression, for any (m i, n i ) whose coefficients are concentrated in the range of - 3 × σ m i, n i SJR, 3 × σ m i, n i SJR, i.e., ∫ f = - 3 × σ m i, n i SJR 3 × σ m i, n i SJR h m i, n i SD f ≥ 80%%, the mode is discarded and replaced with the mode with the next largest discriminative value outside the candidate set. 4.
This is done in Fig. 13, by neglecting the impact of quantization, by considering the NMS + MRB(4) hybrid algorithm, and by assuming that all TEPs can potentially be tested.
Then, the precoding is designed by considering the effect of both noise term and quantization error under transmit power constraint.
In Section 2, a linear precoder based on MMSE criteria is designed by considering the impact of the noise term and CSI quantization error.
Finally, we consider the quantization effect on the projections.
In this paper, we consider the quantization of |H|2.
It should be pointed out that the SdH theory is derived by considering Landau quantization in the metallic regime without taking localization effects into account [24, 25].
The effect of quantization is also addressed, by considering two different quantization laws and comparing their performance.
It starts by decoding the quantization index, considering the signals received on the direct link as noise, which is possible if ([15] Lemma 6) R_{Q} leq {frac{1}{L}} frac{1}{2} log_{2} left(1+frac{g^{2}P_{R}}{1+ K-1){LP}} right).
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Justyna Jupowicz-Kozak
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