Phase-Anchored SC-OFDM

Hasegawa, Fumihiro; Higashinaka, Masatsugu; Okazaki, Atsushi; Ishizu, Fumio; Castelain, Damien; Brunel, Loïc; Mouat, D. A.

doi:10.1109/wcl.2013.102513.130548

Cited by 3 publications

(5 citation statements)

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“…Anritsu MG3700A and Anritsu MS2690A are used to generate waveforms and collect data, respectively. While the spectral loss for the anchor symbol method [7] is 2/432 ≈ 0.463%, the spectral loss for the dynamic and static methods are 24/432 ≈ 5.56% and 48/432 ≈ 11.11%, respectively, when N R = N L − 1 = 11. It is obvious from Fig.…”

Section: Simulation Resultsmentioning

confidence: 95%

“…However, 2N F symbols are reserved for the static sequence whereas only N F symbols are replaced by the past symbols in the dynamic method. It should be noted that when N R = N L = 0, the proposed static sequence becomes d k,N D −χ = d k−1,0 = F 0 , resembling two "anchor symbols" placed in an SC-OFDM block to maintain phase continuity between blocks [7]. Fig.…”

Section: Proposed Static Methodsmentioning

confidence: 99%

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Novel Dynamic and Static Methods for Out-of-Band Power Suppression in SC-OFDM

Hasegawa

Okazaki

Okamura

et al. 2015

IEEE Wireless Commun. Lett.

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Novel dynamic and static out-of-band (OoB) suppression methods for single carrier (SC)-orthogonal frequency division multiplexing (OFDM) are proposed in this letter. In the dynamic approach, symbols at designated positions from the previous block are inserted at predetermined positions in the current block to maintain continuity between blocks. In the static method, a fixed sequence of symbols is inserted in an SC-OFDM block for OoB power suppression. In both approaches, OoB power can be suppressed significantly by controlling design parameters.Index Terms-SC-OFDM, out-of-band emissions, phase continuity.

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Section: Simulation Resultsmentioning

confidence: 95%

Section: Proposed Static Methodsmentioning

confidence: 99%

Novel Dynamic and Static Methods for Out-of-Band Power Suppression in SC-OFDM

Hasegawa

Okazaki

Okamura

et al. 2015

IEEE Wireless Commun. Lett.

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“…This section presents simulation results for the proposed method as comparing with the conventional methods [2,3,4] which can realize the transceiver as almost the same processing load as that for DFTS-OFDM. In the simulations, the number of DFT points (M) and IFFT points (N ) are 864 and 4096, the length of GI (N g ) is 256, allocated bandwidth (W ) is 5 MHz and the modulation method is 64QAM all of which parameters are the same as used in [2].…”

Section: Performance Evaluation For Proposed Methodsmentioning

confidence: 99%

“…In the simulations, the number of DFT points (M) and IFFT points (N ) are 864 and 4096, the length of GI (N g ) is 256, allocated bandwidth (W ) is 5 MHz and the modulation method is 64QAM all of which parameters are the same as used in [2]. As for the non-linear amplifier, the SSPA with the Rapp's model is employed in which the smoothness factor to decide the non-linear level is 4 for the AM-AM conversion characteristics [6].…”

Section: Performance Evaluation For Proposed Methodsmentioning

confidence: 99%

“…To solve this problem, various methods were proposed both for OFDM and DFTS-OFDM [2,3,4,5]. The phase-anchored [2] and zero-tail [3] methods were proposed for DFTS-OFDM which can reduce the spectrum regrowth with almost the same processing load as that for DFTS-OFDM. The filtering [4] method was proposed for OFDM however it is also possible to apply to DFTS-OFDM.…”

Section: Introductionmentioning

confidence: 99%

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Spectrum regrowth reduction method for DFTS-OFDM signal

et al. 2017

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One significant problem of using discrete Fourier transform spreading-OFDM (DFTS-OFDM) is to produce the undesirable spectrum regrowth at the outside of allocated bandwidth due to the non-continuity between time domain symbols. To solve this problem, this paper proposes a simple spectrum regrowth reduction method for DFTS-OFDM by inserting interpolated samples for improving the continuity between symbols. This paper demonstrates the effectiveness of proposed method as comparing with conventional spectrum regrowth reduction methods by simulation results.

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