Design and Analysis of Probabilistic Shaping in Color Shift Keying Modulation Schemes

Anwar, Dil Nashin; Srivastava, Anand

doi:10.1109/jsyst.2020.3007391

Cited by 6 publications

(6 citation statements)

References 24 publications

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“…SER versus SNR plot of different source distribution at their specific optimized constellation points. It has been observed that the SNR performance of nonuniform source distributions utilizing specific OCPs obtained in this work provides improved SNR gain as compared to the work in [19], where OCPs designed in [7] for uniform source distribution was utilized. The respective SNR values have been tabulated for comparison in Table 7.…”

Section: A Without White Tone Constraintmentioning

confidence: 84%

“…The SNR performance gain with respect to SER for 4-CSK-1PD with and without white tone for uniform and nonuniform input data has been obtained and reasoned in the following sections. The simulation parameters have been kept same for this work as in [19] for fair comparison. The list of simulation parameters have been shown in Table. 5.…”

Section: Resultsmentioning

confidence: 99%

“…However, the likelihood of realizing a global optimum is improved by optimizing the objective function multiple times over a small set of random starting points and tuning the β parameter where β determines the accuracy of the approximation between (3) and (4) as discussed in [11]. The PS of input data already provides SNR gain in optical fiber and VLC systems [17], [18], [19]. The optimized constellation points obtained from (4) for uniform input data can be further optimized for non-uniform input data by adapting the concept of hybrid probabilistic shaping and geometric shaping [18], [21].…”

Section: B Objective Functionmentioning

confidence: 99%

“…The PS in constellation symbols follows optimum probability order obtained in [19], employing the highest probabilities to the minimum error causing pair of symbols. The probability of occurrence of symbols p(s) for non-uniform source distributions has been calculated at unity achievable information rate (AIR) to match it with the uniform source distribution AIR, to retain a consistent AIR in results for a fair comparison [19]. The plot of probability distribution function (PDF) of 4-CSK-1PD for uniform, exponential, Maxwell-Boltzmann, and Pareto source distributions at unity AIR has been presented in Figs.…”

Section: B Objective Functionmentioning

confidence: 99%

“…Hence, the design SNR is 15 dB, the average of SNRs at worst, and FEC limit SER. For faster computation the theoretical CSK-1PD SER expression from [19] has been considered in the algorithm, as shown in (7).…”

Section: Optimization Algorithmmentioning

confidence: 99%

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Constellation Design for Single Photodetector Based CSK With Probabilistic Shaping and White Color Balance

Anwar

Srivastava

2020

IEEE Access

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Research and development of Li-Fi (Light Fidelity) in Internet-of-things (IoT) has created significant interest among researchers. The low-cost version of standard color shift keying (CSK) modulation scheme having single photodetector (PD) at the receiver can become an alternative to on-off keying (OOK) in IoT sensor networks as an M-ary CSK modulation scheme provides log 2 M times more data rate than that of OOK. This work revolves around optimizing the constellation points of single PD based CSK (CSK-1PD) to achieve a more power-efficient modulation scheme. The optimization has been done with and without average white tone constraint for uniform and non-uniform (exponential, Maxwell-Boltzmann, Pareto) source distributions. The constellation design strategy is based on maximizing the minimum distance among the differently distributed symbols. In the case of non-uniform distributions, the constellations points have been optimized by geometrically shaping the points based on their probabilistic shaping (PS). The optimized constellation points (OCPs) of CSK-1PD without white tone constraint provide higher signal-tonoise ratio (SNR) gain at forward error correction (FEC) limit symbol error rate (SER) as compared with strict white tone constraint. Further, the strict white tone constraint has been relaxed by considering the whole white light region in the CIE 1931 chromaticity diagram as white tone. The OCPs for uniform data with relaxed white tone constraint achieves SNR gain similar to without white tone constraint. However, for probabilistically shaped symbols, the SNR gain achieved from OCPs improves from strict white tone constraint but remains less than the without white tone constraint. A novel method to utilize an additional RGB LED at the transmitter side has been proposed and designed to maintain any white tone light in the white light region without degrading the maximum achieved SNR gain.

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Section: A Without White Tone Constraintmentioning

confidence: 84%

Section: Resultsmentioning

confidence: 99%