Symbol error rate of soft-decision multiple pulse position modulation over turbulent channels

Bykhovsky, Dima

doi:10.1364/ao.58.001193

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…In a fast fading channel, the channel notably changes within the duration of a communication symbol, and is commonly related to the cases of low-power and energy-harvesting sensors [ 25 , 26 , 27 ]. As follows from the coherence time definition ( Section 2.2 ), in such a channel the channel gain for the next symbol cannot be predicted from the previous one, as they are virtually uncorrelated [ 28 ]. This contrasts with slow fading conditions that can be easily mitigated by commonly deployed techniques, such as pilot-based channel prediction.…”

Section: Discussionmentioning

confidence: 99%

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels

Bykhovsky

2020

Sensors

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The coherence time is the time over which the channel-gain-values correlation coefficient drops below a predefined threshold. The coherence time is typically used to quantify the pace of appreciable channel changes and is important, for example, for determining handoff and resource allocation time constraints. The goal of this work is to experimentally measure the coherence time of indoor optical wireless communication (OWC) channels under various mobile scenarios. The amount of movement was quantified by mobile sensor measurements. The experiments show that it is reasonable to assume that the channel varies slowly for a time period of ~100 milliseconds for most mobile scenarios.

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Section: Discussionmentioning

confidence: 99%

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels

Bykhovsky

2020

Sensors

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“…The new soft-decision technique outperforms the DDT scheme. In [32], comprehensive theoretical SER expressions (not closed-form) for soft-decision MPPM, without CSI, and simplified expressions for fast and slow fading for the FSO non-memoryless channels were derived. The numerical and simulation results for log-normal and gammagamma fading were presented.…”

Section: Introductionmentioning

confidence: 99%

The BER Performance of the LDPC-Coded MPPM over Turbulence UWOC Channels

Jiang

Liao

et al. 2022

Photonics

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Turbulence-induced fading is a critical performance degrading factor for underwater wireless optical communication (UWOC) systems. In this paper, we propose a quasi-cyclic (QC) low-density parity-check (LDPC) code with multiple-pulse-position modulation (MPPM) to overcome turbulence-induced fading. MPPM is adopted as a compromise between the low-power efficiency of on–off keying (OOK) and the low bandwidth efficiency of pulse position modulation (PPM). The bit error rate (BER) performance of LDPC-coded MPPM over turbulence UWOC channels is investigated. The log-likelihood ratio (LLR) of MPPM is derived, and a simplified approximation is used for iterative decoding. Subsequently, the closed-form expression of the BER, without forward error correction (FEC) code, is obtained for the generalized-gamma (GG) fading model. Finally, Monte-Carlo (MC) simulation results are provided to demonstrate the correctness of the derived closed-form expressions and the effectiveness of the LDPC code with simplified LLR to improve the BER performance for different MPPM formats over fading channels.

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Dynamic per user threshold scheduling for multi user-MIMO to improve the symbol error rate over multi threshold scheduling

Vamsi,

Amudhan

2023

INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings

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Symbol error rate of soft-decision multiple pulse position modulation over turbulent channels

Cited by 3 publications

References 35 publications

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels

Coherence Time Evaluation in Indoor Optical Wireless Communication Channels

The BER Performance of the LDPC-Coded MPPM over Turbulence UWOC Channels

Dynamic per user threshold scheduling for multi user-MIMO to improve the symbol error rate over multi threshold scheduling

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