Multicore MIMO-OFDM LTE Optimizing

Jallouli, Kais; Mazouzi, Mohamed; Ahmed, Achraf Ben; Monemi, Alireza; Hasnaoui, Salem

doi:10.1109/iintec.2018.8695290

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…Teknologi in i sangat menarik perhatian karena masih dapat mempertahankan performansinya dalam keadaan kanal yang buruk [2]. Sehingga OFDM telah banyak digunakan secara komersial dan masih tetap dalam pengembangan penelitian yaitu: Digital Video Broadcasting-Terrestrial (DVB-T) [3], Wireless Local Area Network (WLAN) [4], Broadband Wireless Access (BWA) khususnya IEEE 802.16d WiMAX [5], [6], IEEE 802.20 mobile Broadband Wireless Access (BWA) dan Mobile Multimedia Access Communication (MMAC) [7] serta standar seluler 4 th Generation (4G) seperti Long Term Evolution (LTE) [8] - [10].…”

Section: Pendahuluanunclassified

Transformasi Wavelet dengan Teknik Clipping Filtering untuk Mereduksi PAPR pada OFDM

Wirastuti¹,

Dhyaksa²

2020

Jurnal Teknik Elektro

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Orthogonal Frequency Division Multiplexing (OFDM) is chosen as multiplexing techniques and broadly used in today’s radiocommunication environments to overcome spectrum insufficiency. With several superior advantages, however, OFDM is terribly affected by high peak to average power ratio (PAPR) due to offset frequency errors and local oscillator (LO) frequency synchronization errors. The high PAPR can cause nonlinear distortion, which outcomes in intermodulation and spectral leakage. This study aims to model the use of wavelet transform (discrete wavelet transform (DWT)) to replace Fourier transform (discrete Fourier transform (DFT)) that used in conventional OFDM, later in this paper is termed as DFT-OFDM. Clipping filtering techniques then applied to DWT-OFDM. The model was proposed to reduce PAPR in DFT-OFDM. The model was compared to DFT-OFDM using Matlab simulation method. The performance was evaluated using the Complementary Cumulative Distributive Function (CCDF) vs. PAPR. The results show that at PAPR 10-3for DFT-OFDM, it was produced PAPR of 10.6 dB whereas in DWT-OFDM, using Daubechies orde 7 (Daubechies7), Symlet orde 7 (Symlet7), Coiflet orde 2 (Coiflet2), were reached PAPR 4.8 dB, PAPR 3.3 dB, PAPR 3 dB, respectively. It means Coiflet2 providing the best PAPR reduction among other orthogonal wavelets. By applied clipping filtering to wavelet Coiflet2, it was produced PAPR of 2.9 dB for classical clipping and 2.8 dB for deep clipping. It show that wavelet Coiflet2 with deep clipping provided the best PAPR.

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Section: Pendahuluanunclassified

Transformasi Wavelet dengan Teknik Clipping Filtering untuk Mereduksi PAPR pada OFDM

Wirastuti¹,

Dhyaksa²

2020

Jurnal Teknik Elektro

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“…The elements of small-scale fading coefficients vectors h e andh u are independent and identically distributed (i.i.d) with zero mean and variance 1 L . An OFDM waveform with N s subcarriers converts single frequency selective channel into N s parallel sub-channels [50], [51]. The legitimate node (Bob) transmits pilot sequence to Alice for channel estimation in pilot phase.…”

Section: Notationsmentioning

confidence: 99%

Detection of Pilot Contamination Attack for Frequency Selective Channels

et al. 2020

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Physical layer security (PLS) provides an additional protection layer to the conventional encryption in the presence of an active eavesdropper (Eve). The detection of pilot contamination attack (PCA) on legitimate nodes by the active Eve is vital in order to mitigate the effect of the attack. In this work, we propose a novel PCA detector for the nodes, which intend to establish secure communication in time division duplex (TDD) mode over a frequency selective channel. We devise binary hypothesis from the decision directed channel estimate for PCA detection by exploiting observations of pilot sequence and random data in pilot and data phases, respectively. We also provide performance analysis of the proposed method. The comparison of simulation results and analysis demonstrates the accuracy of the analysis. The proposed detector has low probability of detection error as compared to the existing high complexity subspace based PCA detector.

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