Spectrally Precoded DFT-Based OFDM and OFDMA With Oversampling

Wu, Tsung-Wei; Chung, Char-Dir

doi:10.1109/tvt.2013.2292877

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…Noise value for communication systems could be seen in equation (1). At Equation (1), the noise figure (F) value was 7 dB, the T0 parameter was 290 O K, the Boltzman constant was 3 x 10 -23 [18], and the amount of 200 MHz bandwidth's channel was 8.…”

Section: B Propagationmentioning

confidence: 99%

Propagation of Mobile Communication with Tree Obstacle used OFDM-QAM at 10 GHz

Eska

2019

INFOTEL

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This research focused about mobile communication systems at line communication of road. Frequency communication was used 10 GHz. The tree was obstacle at every node of line communication. That communication was modeled with single diffraction. Single knife edge was used for that diffraction model. The communication transmission that used was Orthogonal Frequency Division Multiplexing. The modulation variation that used was consisted of 16 QAM and 64 QAM. Analysis that used was consisted of modulation variation, transmitter power variation, and coverage area variation. The result showed that SNR was decreased when transmitter power was increased, the value BER 64 QAM lower than BER 16 QAM, and percentage of coverage area that obtained was around 96%.

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Section: B Propagationmentioning

confidence: 99%

Propagation of Mobile Communication with Tree Obstacle used OFDM-QAM at 10 GHz

Eska

2019

INFOTEL

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“…The oversampling has other advantages as well, such as enhancing the performance of linear equalizers [32], [37], [38], decreasing OFDM edge effects [39], [40], increasing the time resolution in DFT-based schemes [41], easing the DAC design [33], achieving blind carrier-frequency-offset recovery [42], detection and channel estimation [43], [44], and clipping noise suppression [45].…”

Section: B Our Contributionmentioning

confidence: 99%

“…3. Therefore, the SER of the proposed system using the iterative receiver with QPSK signal constellation can be provided by (33), as shown at the bottom of the next page.…”

Section: B Symbol Error Probabilitymentioning

confidence: 99%

OFDM Signal Recovery in Deep Faded Erasure Channel

et al. 2019

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In high-speed digital wireless communication applications, the intersymbol interference channel may have spectral nulls or erasures, which may degrade the orthogonal frequency division multiplexing (OFDM) bit error rate (BER) performance. In this paper, we prove that the BER performance of the OFDM system is considerably refined if the erased symbols in erasure channel (or received symbols on the deepfaded subcarriers in Rayleigh fading channel) are estimated based on the rest symbols in each OFDM signal. Also, an oversampled OFDM scheme which is a particular form of the pre-coded OFDM schemes is considered to guarantee high enough sampling rate. Furthermore, a new iterative receiver is proposed for perfect symbol recovery. A comprehensive Monte Carlo simulation study is performed to validate the theoretical results and affirm the superior performance of the oversampled OFDM scheme with the iterative receiver, compared with the typical detector for the OFDM scheme. INDEX TERMS Orthogonal frequency division multiplexing (OFDM), intersymbol interference (ISI), erasure channel.

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“…Some researches were related to that diffraction, such as mobile communication systems with diffraction propagation around the building environment [19] and mobile communication systems around the tree that used the Giovanelli Knife Edge method with 2.3 GHz frequency [20]. Some researches were related with OFDM at mobile communication systems such as OFDM and OFDMA with DFT based [21], edge windowing for communication systems with OFDM based [22], and algorithm allocation for OFDM systems [23].…”

Section: Introductionmentioning

confidence: 99%

Cellular Communication Propagation at Drone around Building Environment with Single Knife Edge at 10 GHz

Eska

2021

J.INFOTEL

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The drone communication systems used a cellular network for controlling a drone from a long distance. That communication propagations between drone and base station were analyzed. The drone moved at the track around building environment. That environment used variations in building height. The communication propagation around building environment caused diffraction mechanism. Single knife edge method is used for that diffraction mechanism. The frequency of communication used 10 GHz. That frequency was influenced by atmospheric attenuation. This research was using some variations such as height of drone track location, transmitter power, and AMC (Adaptive Modulation Coding). MCS (Modulation Coding Scheme) was used AMC such as QPSK, 16 QAM, and 64 QAM. Some result was obtained at this research consist of LOS and NLOS distance, SNR, MCS probability, and percentage of drone coverage. NLOS propagation was caused by building height. The SNR value become increase when higher at drone position, such as drone was moving at 20 meters with height of flying drone 80 m and transmitter power 30 dBm obtained SNR 38.21 dBm. That SNR is affected AMC, so a higher SNR value increases AMC. The drone’s coverage 100%, with a height of flying drone 80 meters and transmitter power of 30 dBm. That condition showed more increasing coverage percentage than 64.8% for height of flying drone 20 meters and transmitter power 30 dBm. That result showed that more drone height increased of coverage percentage, probability modulation, and SNR value.

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Spectrally Precoded DFT-Based OFDM and OFDMA With Oversampling

Cited by 7 publications

References 28 publications

Propagation of Mobile Communication with Tree Obstacle used OFDM-QAM at 10 GHz

Propagation of Mobile Communication with Tree Obstacle used OFDM-QAM at 10 GHz

OFDM Signal Recovery in Deep Faded Erasure Channel

Cellular Communication Propagation at Drone around Building Environment with Single Knife Edge at 10 GHz

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