Analytical modeling and simulation of phase noise interference in OFDM-based digital television terrestrial broadcasting systems

El-Tanany, M.; Wu, Yiyan; Hazy, L.

doi:10.1109/11.920777

Cited by 102 publications

(53 citation statements)

References 5 publications

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“…More literature related to phase noise analysis can be found in [8,12,19,20,27,31,35,36,40,44,55]. In conclusion, phase noise has a detrimental effect on the performance of systems employing an OFDM modulation scheme and, thus, necessitates the use of high-quality oscillators at the transmitter and receiver.…”

Section: Performance Analysismentioning

confidence: 99%

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Mathecken

Riihonen

Werner

et al. 2011

IEEE Trans. Commun.

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Instructor:Taneli Riihonen, M.Sc. (Tech.) This thesis studies the effect of Wiener phase noise on the performance of orthogonal frequency division multiplexing (OFDM) systems. The main performance metrics used in the analysis are capacity and signal-to-interference-plus-noise ratio (SINR).OFDM is a multi-carrier modulation technique in which data is transmitted in parallel streams using closely spaced (in frequency) orthogonal carriers. Phase noise is the random fluctuation in the phase of the oscillator signal used in the frequency translation between baseband and radio frequency. These fluctuations occur because of the inherent imperfections in the components that make up the oscillator. With respect to OFDM, phase noise destroys the orthogonality between the carriers and this causes interference between the parallel streams of data which results in degradation of the capacity and SINR. We derive closed-form analytical expressions of average capacity and average SINR and highlight the key parameters of the phase noise process and OFDM system that affect its behavior. In comparison with previous works, a probability density function (PDF) based approach is used in arriving at these performance metrics. This approach necessitates the derivation of the PDF of a sum of gamma random variables. In earlier literature, this result is available for gamma variables that have a full-rank square-root normalized covariance matrix. We generalize the result for the rank-deficient case and apply this result to obtain the statistical expressions of capacity and SINR.

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Section: Performance Analysismentioning

confidence: 99%

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Mathecken

Riihonen

Werner

et al. 2011

IEEE Trans. Commun.

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“…To overcome this difficulty, some ICI compensation schemes have been proposed. The method in [11] utilizes the pilot tones, which are sufficiently separated away from the data tones, to transmit pilot symbols for phase noise estimation. In the self-cancellation method presented in [12] and [13], each data symbol is transmitted using two adjacent subcarriers and the received symbols are linearly combined to suppress ICI by exploiting the fact that the ICI coefficients change slowly over adjacent subcarriers.…”

Section: A Prior Work On Phase Noise Compensationmentioning

confidence: 99%

Compensation of Phase Noise in OFDM Wireless Systems

Zou

Tarighat

Sayed

2007

IEEE Trans. Signal Process.

138

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Abstract-Phase noise causes significant degradation in the performance of orthogonal frequency division multiplexing (OFDM)-based wireless communication systems. The presence of phase noise can reduce the effective signal-to-noise ratio (SNR) at the receiver, and consequently, limit the bit error rate (BER) and data rate. In this paper, the effect of phase noise on OFDM wireless systems is studied, and a compensation scheme is proposed to mitigate the common phase error and intercarrier interference (ICI) caused by phase noise. In the proposed scheme, the communication between the transmitter and receiver blocks consists of two stages. In the first stage, block-type pilot symbols are transmitted and the channel coefficients are jointly estimated with the phase noise in the time domain. In the second stage, comb-type OFDM symbols are transmitted such that the receiver can jointly estimate the data symbols and the phase noise. It is shown both by theory and computer simulations that the proposed scheme can effectively mitigate the ICI caused by phase noise and improve the BER of OFDM systems. Another benefit of the proposed scheme is that the sensitivity of OFDM receivers to phase noise can be significantly lowered, which helps simplify the oscillator and circuitry design in terms of implementation cost and power consumption.Index Terms-Common phase error, compensation scheme, equalization, intercarrier interference (ICI), orthogonal frequency division multiplexing (OFDM), performance analysis, phase-locked loop (PLL), phase noise.

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“…PN has been modeled as Wiener process in most of the previous works [5][6][7][8][9][10][11][12][13], and it is proved to be sufficiently accurate [6]. Modeling PN as Wiener process is suitable for evaluating the impact of PN on a system performance by analytical methods.…”

Section: Pn Modelmentioning

confidence: 99%

“…In ANC, an information between a pair of users is exchanged through two orthogonal time phases; (i) in multiple-access phase both users simultaneously transmit towards the *Correspondence: amir.ligata@ipsa-institut.com 1 Communication Department, IPSA Institute, Sarajevo, Bosnia and Herzegovina Full list of author information is available at the end of the article relay, and (ii) in broadcast phase the relay broadcast the received signal to both users using amplify-and-forward (AF) protocol. The phase noise (PN) caused by imperfections of the local oscillators rotates all subcarriers in OFDM by a common phase error (CPE) and introduces inter-carrier interference (ICI) to the useful signal which degrades the bit error rate (BER) performance [5][6][7][8][9][10][11][12][13]. The problem of phase synchronization in relaying based on AF protocol is investigated in [14], and it was shown that the relay's PN has only limited impact on the system's performance.…”

Section: Introductionmentioning

confidence: 99%

On performance of analog network coding in the presence of phase noise

Ligata¹,

Gacanin²,

Adachi

2013

J Wireless Com Network

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Analog network coding (ANC) as a simple implementation of physical layer network coding based on orthogonal frequency division multiplexing (OFDM) has been proposed to increase the network capacity and reliability of bi-directional link between a pair of users. In ANC protocol, an information between a pair of users is exchanged through two orthogonal time phases (i.e., multiple-access and broadcast phases). On the other hand, the phase noise (PN) introduces phase offset and inter carrier interference (ICI) to the useful signal. Thus, in ANC scheme PN will affect the useful signal during both multiple-access and broadcast phases. In this article, we present a performance analysis of ANC scheme using OFDM in the presence of PN in frequency-selective fading channel. We derive the total composite variance of ANC scheme in the presence of PN to obtain the signal-to-interference-plus-noise ratio (SINR) expression. Then, we evaluate the system's performance in terms of bit error rate (BER), SINR degradation, and ergodic capacity through both numerical and computer simulations. Computer simulated average BER has been consistent with the numerical results, validating the presented analysis. Our results have shown that the ANC scheme is more sensitive to the PN introduced during the broadcast phase (i.e., at destination) than during the multiple-access phase (i.e., at relay). This is because of the higher ICI to the useful signal and enhanced noise due to the imperfect self-information removal at the destination. In addition, the performance degradation of ANC scheme based on OFDM in the presence of PN is highly expressed for the PN linewidth values up to 20 Hz.

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Analytical modeling and simulation of phase noise interference in OFDM-based digital television terrestrial broadcasting systems

Cited by 102 publications

References 5 publications

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Performance Analysis of OFDM with Wiener Phase Noise and Frequency Selective Fading Channel

Compensation of Phase Noise in OFDM Wireless Systems

On performance of analog network coding in the presence of phase noise

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