Communications over phase noise channels: a tutorial review

Colavolpe, Giulio

doi:10.1002/sat.1036

Cited by 17 publications

(16 citation statements)

References 35 publications

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“…In the sequel a competing state-of-the-art scheme from the literature [4] will be also considered and its performance presented in Section VI. It is obtained by replacing the outer code C in Figure 2 by a binary convolutional code with generator polynomials (7, 5) in octal notation, as described in [4]. Further, the scheme is complemented by an interleaver which acts on the output bits of the outer code.…”

Section: B Reference Schemementioning

confidence: 99%

“…Examples are satellite communications in Q/V bands, systems with terminals using cheap oscillators, and/or systems where short message blocks are employed and the use of pilots is limited. In all these cases non-coherent detection is a viable option [1]- [4]. A common technique on non-coherent channels is to employ a differential modulation scheme, particularly in combination with phase-shift keying (PSK).…”

Section: Introductionmentioning

confidence: 99%

“…Whenever channel coding is also considered, iterative detection and decoding at the receiver is a common choice [3]. The schemes for iterative detection/decoding may be divided into two groups [4]. For the first group, standard binary channel codes are complemented by a further block, for instance by the aforementioned differential modulator, in order to compensate for the phase uncertainties from the channel.…”

Section: Introductionmentioning

confidence: 99%

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Non-binary LDPC coded DPSK modulation for phase noise channels

Ninacs

Matuz

Liva

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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In this paper, we study digital transmission over an additive white Gaussian noise (AWGN) channel with mary differential phase-shift keying (DPSK) modulation in the presence of phase noise. At the receiver side, non-coherent iterative detection and decoding is assumed. We present a nonbinary low-density generator matrix (LDGM) code design which is suitable for both coherent and non-coherent channels. The code construction is strongly related to the one of non-binary irregular repeat-accumulate (IRA) low-density parity-check (LDPC) codes.

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Section: B Reference Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-binary LDPC coded DPSK modulation for phase noise channels

Ninacs

Matuz

Liva

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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“…The Wiener Process: The case of phase-noise process with memory is relevant when a free-running oscillator is used or when the phase tracker is not able to completely remove the memory of the phase-noise process [20], [27]. The samples {θ k } of a free-running oscillator are typically modeled using a Wiener process [20], [28], according to which…”

Section: Theorem 1 ( [1])mentioning

confidence: 99%

“…In the CLO case, we have that θ 1,k = • • • = θ M,k = θ k for all k. Hence, the input-output relation (28) simplifies to In Theorem 3 below, we characterize the prelog and provide bounds on the phase-noise number of the MISO phase-noise channel (28). Afterwards, we shall discuss specific phase-noise models for which the bounds are tight.…”

Section: Downlink Channelmentioning

confidence: 99%

High-SNR capacity of multiple-antenna phase-noise channels with common/separate RF oscillators

Khanzadi

Durisi

Eriksson

2015

2015 IEEE International Conference on Communications (ICC)

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In multiple antenna systems, phase noise due to instabilities of the radio-frequency (RF) oscillators, acts differently depending on whether the RF circuitries connected to each antenna are driven by separate (independent) local oscillators (SLO) or by a common local oscillator (CLO). In this paper, we investigate the high-SNR capacity of single-input multiple-output (SIMO) and multiple-output single-input (MISO) phase-noise channels for both the CLO and the SLO configurations. Our results show that the first-order term in the high-SNR capacity expansion is the same for all scenarios (SIMO/MISO and SLO/CLO), and equal to 0.5 ln(ρ), where ρ stands for the SNR. On the contrary, the second-order term, which we refer to as phasenoise number, turns out to be scenario-dependent. For the SIMO case, the SLO configuration provides a diversity gain, resulting in a larger phase-noise number than for the CLO configuration. For the case of Wiener phase noise, a diversity gain of at least 0.5 ln(M) can be achieved, where M is the number of receive antennas. For the MISO, the CLO configuration yields a higher phase-noise number than the SLO configuration. This is because with the CLO configuration one can obtain a coherent-combining gain through maximum ratio transmission (a.k.a. conjugate beamforming). This gain is unattainable with the SLO configuration.

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On discrete-time modeling of the filtered and symbol-rate sampled continuous-time signal affected by Wiener phase noise

Mandelli

Magarini

Spalvieri

et al. 2015

Optical Switching and Networking

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This paper investigates the differences between the symbol-spaced discrete-time Wiener phase noise channel model, commonly assumed in the literature to represent the effect of phase noise, and that obtained by symbol-rate sampling the filtered continuous-time received signal affected by continuous-time Wiener phase-noise. In particular, for comparison, we consider some statistical tests to check temporal and distributional properties of the two models. We show that the fit between the two models is very good even for quite strong values of phase noise. The main result is that when the standard deviation of the discrete-time Wiener phase noise increment σ P N is below a threshold of approximatelyσ P N ≃ 0.1 rad, the discrete-time Wiener model provides a good approximation to the actual symbol-spaced sampled filtered signal affected by continuous-time Wiener phase noise. We show that when σ P N is below σ P N the ratio between the power of the signal and the power of the model mismatch is greater than 20 dB. Simulation results are also presented to compare bit error rates of the two models in case of QPSK and 16-QAM transmission and to compare the power spectral densities of their associated complex exponential phase noises. Our results suggest that the discrete-time Wiener phase noise model can be adopted for many real-world systems, where, according to experimental results available in the literature, σ P N in the order of 0.1 rad is rarely found even when the nonlinearity of the optical channel is deeply stressed.

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Communications over phase noise channels: a tutorial review

Cited by 17 publications

References 35 publications

Non-binary LDPC coded DPSK modulation for phase noise channels

Non-binary LDPC coded DPSK modulation for phase noise channels

High-SNR capacity of multiple-antenna phase-noise channels with common/separate RF oscillators

On discrete-time modeling of the filtered and symbol-rate sampled continuous-time signal affected by Wiener phase noise

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