On the Performance of FFT/DWT/DCT-based OFDM Systems with Chaotic Interleaving and Channel Estimation Algorithms

Hamid, Zahraa Abdel; Samir, Moataz; El-atty, Saied M. Abd; El-Hennawy, A.; Shenawy, Hamed El; Alshebeili, Saleh A.; El‐Samie, Fathi E. Abd

doi:10.1007/s11277-014-1830-z

Cited by 16 publications

(6 citation statements)

References 13 publications

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“…In addition to the wavelets, the BER assessment of the OFDM system was also be improved by using other transforms like discrete cosine transforms (DCT) and discrete sine transforms (DST) in comparison to FFT. Multiwavelet design also offers a substantial enrichment in the BER performance thereby reducing the minimum SNR required to attain the anticipated BER performance [15][16][17]. Because of their time-frequency localization property, the utilization of wavelets was having a robust influence on the BER outcome of the OFDM system over both the flat fading and fading channels which are frequency selective in nature [18].…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of WOFDM‐WiMAX Integrating Diverse Wavelets for 5G Applications

Kansal

Gaba

Sharma

et al. 2021

Wireless Communications and Mobile Computing

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In the 5th generation (5G) and 6th generation (6G) of wireless mobile telecommunication networks, the requests for an elevated data rate with access to stationary as well as portable customers are going to be overwhelming. Mobile worldwide interoperability for microwave access (WiMAX) comes out as a favourable alternative that is intelligibly developed and more matured than wireless fidelity (Wi-Fi). Mobile WiMAX makes use of the orthogonal frequency division multiple access (OFDMA) technology for its two-way communication to enhance the system performance in fading environments making it more suitable for 5G applications. The diverse OFDM forms deliberated here are the fast Fourier transform- (FFT-) based WiMAX and discrete wavelet transform- (DWT-) based WiMAX. The suggested study exhibits the bit error rate (BER) and peak to average power ratio (PAPR) reduction by integrating different wavelet families, i.e., Haar, symlet, coiflet, and reverse biorthogonal over Rayleigh fading channel. The simulation results obtained by MATLAB depicts an improvement in PAPR reduction, and signal to noise ratio (SNR) requirement is also reduced by 6-12 dB by using DWT-incorporated WiMAX at a BER of 10-4.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of WOFDM‐WiMAX Integrating Diverse Wavelets for 5G Applications

Kansal

Gaba

Sharma

et al. 2021

Wireless Communications and Mobile Computing

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“…1. The model mainly has three parts, the transmitter, channel and receiver [18]. At the transmitter side, OFDM transmitter maps the message bits into a sequence of QPSK or 16-QAM symbols which will be subsequently converted into N parallel streams by serial-to-parallel port.…”

Section: A Ofdm Modelmentioning

confidence: 99%

APBT-Based Channel Estimation for OFDM System

Shan¹,

Zhou²,

Wang³

2016

jcm

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Orthogonal Frequency Division Multiplexing (OFDM) has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL Internet access, wireless networks, powerline networks, and 4G mobile communications. It plays an important role in the new generation of mobile communication. In OFDM system, channel estimation is a necessary technique for improving the system's accuracy at the receiving end. Therefore channel estimation based on pilot assistant has been a hot area of research for several years. Recently, the advantages of the Discrete Cosine Transform (DCT) based channel estimation have come to light. Compared to channel estimation based on Discrete Fourier Transform (DFT), DCT-based channel estimation could improve the performance of channel estimation, and it is also an efficient way to suppress the Gaussian white noise. A new transform called All Phase Biorthogonal Transform (APBT) was proposed in recent years, APBT has the similar energy compaction property of DCT. Therefore, a novel channel estimation based on APBT was proposed for QPSK and 16-QAM modulated signals in this paper. The proposed method can solve the low leakage problem which exists in DFT-based channel estimation and "error floor" which exists in DCT-based channel estimation. From experimental results, the APBT-based channel estimation provides improved performance in terms of Bit Error Rate (BER) and reduction in the Mean Square Error (MSE) compared to conventional channel estimation based on DFT and DCT.

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“…The other one is the global best position (PK) , which represents the best position obtained so far by any particle. After finding the two best values, the update of velocity and position for each particle are described as [17], [18], (8) Pi(t+ I) = Pi (t)+Vi (t+ 1), (9) where v;(t) is the velocity of the i1 h particle, rl and r2 are random values with uniform distribution between [0, 1].…”

Section: B Selected Ma Pping (Slm) Techniquementioning

confidence: 99%

“…Also, as in [9], [10] the symbol error rate (SER) of WOFDM system is less compared to conventional OFDM system under certain channel conditions. In this paper, an efficient PAPR reduction technique using a SLM WOFDM is used to reduce the PAPR, then PSO is applied to SLM-WOFDM system for searching the optimum phase rotation factors to achieve better reduction in P APR and hence leading to more improvement in P APR reduction performance.…”

Section: Introductionmentioning

confidence: 99%

C8. SLM technique based on particle swarm optimization algorithm for PAPR reduction in wavelet-OFDM systems

Fathy

El-Mahallawy

Hagras

2015

2015 32nd National Radio Science Conference (NRSC)

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Orthogonal frequency division multiplexing (OFDM) system has high spectral efficiency and immunity to frequency selective fading channel. So, it has been widely used in modem wireless communication systems. However, the major drawback of OFDM system is the high peak-to-average power ratio (PAPR) of the transmitted signal for large number of subcarriers. Selected mapping (SLM) is one of the most well-known technique to reduce the PAPR in OFDM system, since it can achieve a good PAPR reduction without signal distortion. Moreover, SLM technique can be used with wavelet-OFDM (WOFDM) system to enhance the PAPR performance, while maintaining most of the advantages of the conventional OFDM system. In this paper, an effective PAPR reduction technique using SLM-WOFDM based on particle swarm optimization (PSO) algorithm is proposed. PSO is applied to SLM-OFDM and SLM-WOFDM systems for searching the optimum phase rotation factors. The systems evaluation shows that the proposed PSO based SLM-WOFDM system provides better PAPR reduction compared to PSO based SLM-OFDM, SLM-WOFDM, and conventional SLM-OFDM systems.

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On the Performance of FFT/DWT/DCT-based OFDM Systems with Chaotic Interleaving and Channel Estimation Algorithms

Cited by 16 publications

References 13 publications

Performance Analysis of WOFDM‐WiMAX Integrating Diverse Wavelets for 5G Applications

Performance Analysis of WOFDM‐WiMAX Integrating Diverse Wavelets for 5G Applications

APBT-Based Channel Estimation for OFDM System

C8. SLM technique based on particle swarm optimization algorithm for PAPR reduction in wavelet-OFDM systems

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