FFT-Assisted Coded Modem for Intensity-Modulated Signals Under Peak and Average Power Constraints

Chen, Ru-Han; Zhang, Jian; Zhang, Yanyu

doi:10.1109/tcomm.2019.2952586

Cited by 5 publications

(2 citation statements)

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“…The optical intensity channel (OIC) is the most commonly used model for linear IM/DD systems impaired by additive white Gaussian noise (AWGN), just like the AWGN channel in RF communications. During the last few decades, OICs have been extensively studied in the literature from two closely related aspects [6]- [25]. One aspect is on capacity analysis, which describes fundamental limits of OICs for reliable communication.…”

Section: Introductionmentioning

confidence: 99%

“…The other aspect is on modulation and coding, related to system designs for optimizing various performance metrics, such as bit-error rates, block-error rates and the minimum Euclidean distance of constellations. Modulation schemes including on-off keying, colorshift keying [16], pulse-position modulation [17], different variants of unipolar orthogonal frequency-division multiplexing [18]- [21] have been studied, and code constructions described in [23]- [25].…”

Section: Introductionmentioning

confidence: 99%

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On the Capacity of MISO Optical Intensity Channels With Per-Antenna Intensity Constraints

Chen¹,

Li²,

Zhang³

et al. 2021

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This paper investigates the capacity of general multiple-input single-output (MISO) optical intensity channels (OICs) under per-antenna peak-and averageintensity constraints. We first consider the MISO equal-cost constrained OIC (EC-OIC), where, apart from the peak-intensity constraint, average intensities of inputs are equal to arbitrarily preassigned constants. The second model of our interest is the MISO bounded-cost constrained OIC (BC-OIC), where, as compared with the EC-OIC, average intensities of inputs are no larger than arbitrarily preassigned constants. By introducing quantile functions, stop-loss transform and convex ordering of nonnegative random variables, we prove two decomposition theorems for bounded and nonnegative random variables, based on which we equivalently transform both the EC-OIC and the BC-OIC into single-input single-output channels under a peak-intensity and several stop-loss mean constraints. Lower and upper capacity bounds for both channels are established, based on which the asymptotic capacity at high and low signal-to-noise-ratio are determined.Index terms -Channel capacity, Gaussian noise, intensity-modulation and direct-detection (IM/DD), multiple-input single-output, per-antenna intensity constraint, optical wireless communication.

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Section: Introductionmentioning

confidence: 99%