Multicarrier QAM Modulation Based on Discrete Wavelet Transform Using Wireless MIMO System

Manasra, Ghandi F.; Najajri, Osama; Arram, H. A.; Rabah, S.

doi:10.1109/picict.2013.23

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…As the wavelet-OFDM has the potential to generate small side-lobes, offering low PAPR and avoids the bandwidth wastage due to CP extension in conventional OFDM [5], [6], the authors, initially, assess the proposed non-adaptive MIMO-OFDM-RoF system by introducing diverse wavelets, for instance, Daubechies, Symlet, Coiflet and Dmey. The system performance is calculated in terms of BER as a function of E b /N o to ascertain the optimal wavelet to be implemented to comprehend a power-efficient and spectral-efficient RoF system.…”

Section: Resultsmentioning

confidence: 99%

“…The IDWT modulator accepts the encoded data symbols as a sequence of wavelet and approximation-coefficients. If X m n represents DWT coefficients at dissimilar scale-and time-variables, then IDWT of X m n is computed [6], [9] as:…”

Section: System Setupmentioning

confidence: 99%

“…The associate editor coordinating the review of this manuscript and approving it for publication was Ayaz Ahmad . by inducing inter-symbol interference (ISI) [4]- [6]. Most explored and leading multi-carrier technique, which is deployed to alleviate the effect of frequency-selective fading in broadband wireless technology, is orthogonal frequency division multiplexing (OFDM).…”

Section: Introductionmentioning

confidence: 99%

“…On the other side, the implementation of wavelet filterbanks with OFDM produces small side-lobes along with low PAPR and avoids bandwidth wastage due to cyclic-prefix (CP) extension of the traditional OFDM. Due to superior side-lobe suppression by wavelet filter-banks, Wavelet-OFDM (W-OFDM) offers better performance in contrast to FFT-OFDM [5], [6]. In a W-OFDM system, the process of inverse discrete wavelet transform (IDWT) and discrete wavelet transform (DWT) are executed instead of inverse-FFT (IFFT) and FFT.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive $2\times2$ MIMO Employed Wavelet-OFDM-Radio Over Fibre Transmission

Sharma¹,

Sergeyev²,

Kaur³

2020

IEEE Access

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Due to high peak-to-average-power ratio (PAPR) and low spectral-efficiency, the conventional Fast Fourier Transform based orthogonal frequency division multiplexing (OFDM) is losing its place to the other multicarrier modulation schemes. Alternatively, the wavelet treated multiple-input multiple-output (MIMO)-OFDM is gaining its popularity in realization of futuristic 5G networks due to proffering high spectral-efficiency, low-cost and low phase-noise. Subsequently, this work demonstrates a RF transmission system in S-band employing 2 × 2 MIMO-OFDM using orthogonal-and biorthogonal-wavelets with diverse phase shift keying modulation (PSK) schemes. Among the available MIMO configurations, the authors implement spatial diversity as it promises good reliability in noisy links [11]. However, the distribution of Wavelet-OFDM (W-OFDM) signals over a radio over fibre (RoF) link is critically affected by the optical subsystem non-linearity. So, the simplest 2×2 Alamouti's space-time block code (STBC) is implemented in this work to overcome this non-linearity and to realize a less-complex detection. The work is further extended to realize an adaptive MIMO-RoF system employing W-OFDM scheme to adjust itself to a suitable available phase shift keying strategy as per the link-situation to retain an optimal balance of link-quality and spectralefficiency.

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Section: Resultsmentioning

confidence: 99%

Section: System Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive $2\times2$ MIMO Employed Wavelet-OFDM-Radio Over Fibre Transmission

Sharma¹,

Sergeyev²,

Kaur³

2020

IEEE Access

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“…The transmitted signal in continuous time domain for ith OFDM symbol is given by, s(t)= (8) where N is the FFT size, is the sampling period, =i(N+G),G is the cyclic prefix size. The received signal with channel response and CFO is: (9) For simulation in Mat lab, it is assumed that for one OFDM symbol channel information does not change. It is assumed that simulation is performed without channel estimation and equalization where is the normalized carrier frequency offset and w(t) is the white Gaussian noise.…”

Section: Carrier Frequency Offset and Ici [7][8]mentioning

confidence: 99%

Performance Analysis of FFT Based OFDM System and DWT Based OFDM System to Reduce Inter-carrier Interference

Waichal¹,

Khedkar²

2015

2015 International Conference on Computing Communication Control and Automation

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OFDM (Orthogonal Frequency DivisionMultiplexing) is a multicarrier technique to increase the data rate of wireless channel. In OFDM, bandwidth is divided into many narrow bands whose carriers are orthogonal to one another. Implementation of OFDM deals with application of Fast Fourier Transform (FFT) to modulation and demodulation processes to generate carriers orthogonal to each other. In conventional system, IFFT (Inverse Fast Fourier Transform) is used at transmitter side and FFT is used in receiver side. There is need to append cyclic prefix at transmitter side to reduce the Inter symbol Interference (ISI) and to increase spectral efficiency. Recently there is proposition of Wavelet transform to generate sub channels with added advantage of flexibility of transform and high suppression in side lobes .This paper provides overview of performance of DWT (Discrete Wavelet Transform) based OFDM system as compared to FFT based OFDM system to reduce Inter carrier Interference caused due to sampling frequency offset in AWGN (Additive White Gaussian Noise) channel.

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