2020
DOI: 10.1109/twc.2020.3019664
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Eigenvalue-Decomposition-Precoded Ultra-Dense Non-Orthogonal Frequency-Division Multiplexing

Abstract: This paper proposes a novel ultra-dense nonorthogonal frequency-division multiplexing (NOFDM) transmission, where subcarrier spacing is set significantly lower than that of orthogonal frequency-division multiplexing (OFDM). In order to eliminate the detrimental effects of NOFDM-specific intercarrier interference and correlated additive noises, eigenvaluedecomposition-aided precoding is conceived. The classical capacity formula is extended to one supporting our precoded NOFDM scheme. Optimal power allocation (P… Show more

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Cited by 9 publications
(24 citation statements)
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“…Such significantly small eigenvalues cannot be accurately calculated in the standard double-precision environment. The fraction of significantly small eigenvalues of the presented multi-frame NOFDM scheme was higher than that of the conventional single-frame EVD-NOFDM scheme ignoring the IFI effects [10]. Therefore, in the multi-frame scenario of the proposed scheme, the effects of ICI and IFI have to be carefully evaluated, unlike in the conventional single-frame scenario.…”
Section: Truncated Power Allocationmentioning
confidence: 97%
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“…Such significantly small eigenvalues cannot be accurately calculated in the standard double-precision environment. The fraction of significantly small eigenvalues of the presented multi-frame NOFDM scheme was higher than that of the conventional single-frame EVD-NOFDM scheme ignoring the IFI effects [10]. Therefore, in the multi-frame scenario of the proposed scheme, the effects of ICI and IFI have to be carefully evaluated, unlike in the conventional single-frame scenario.…”
Section: Truncated Power Allocationmentioning
confidence: 97%
“…We derive the optimal power allocation coefficients q i (i = 0, • • • , N − 1) of the proposed scheme by maximizing the information rate of the proposed generalized EVD-NOFDM with the aid of the Lagrange multiplier method [10]. The upper MI limit of the proposed scheme is formulated as the sum of each substream's MI as follows:…”
Section: Derivation Of Optimal Power Allocation Coefficientsmentioning
confidence: 99%
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