Decoding of Polar Codes for Intersymbol Interference in Visible-Light Communication

Wang, He; Kim, Sunghwan

doi:10.1109/lpt.2018.2831783

Cited by 11 publications

(9 citation statements)

References 17 publications

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“…Table V shows an estimation of complexity reduction of the proposed VLC receiver compared with related works which based on Soft-decoding Manchester-RLL, Soft-decoding 4B6B-RLL and soft-decoding 8B10B-RLL [13,14,18,18]. It can be seen that, by removing RLL soft-decoding blocks, the complexity of proposed receiver reduces remarkably in term of heavy computation blocks e.g division, multiplication, logarithm, etc.…”

Section: Hardware Implementation Resultsmentioning

confidence: 98%

Hardware Architectures of Visible Light Communication Transmitter and Receiver for Beacon-based Indoor Positioning Systems

Nguyen

Tran

et al. 2020

REV J. Electron. Commun.

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High-speed applications of Visible Light Communications have been presented recently in which response times of photodiode-based VLC receivers are critical points. Typical VLC receiver routines, such as soft-decoding of run-length limited (RLL) codes and FEC codes was purely processed on embedded firmware, and potentially cause bottleneck at the receiver. To speed up the performance of receivers, ASIC-based VLC receiver could be the solution. Unfortunately, recent works on soft-decoding of RLL and FEC have shown that they are bulky and time-consuming computations. This causes hardware implementation of VLC receivers becomes heavy and unrealistic. In this paper, we introduce a compact Polar-code-based VLC receivers. in which flicker mitigation of the system can be guaranteed even without RLL codes. In particular, we utilized the centralized bit-probability distribution of a pre-scrambler and a Polar encoder to create a non-RLL flicker mitigation solution. At the receiver, a 3-bit soft-decision filter was implemented to analyze signals received from the VLC channel to extract log-likelihood ratio (LLR) values and feed them to the Polar decoder. Therefore, the proposed receiver could exploit the soft-decoding of the Polar decoder to improve the error-correction performance of the system. Due to the non-RLL characteristic, the receiver has a preeminent code-rate and a reduced complexity compared with RLL-based receivers. We present the proposed VLC receiver along with a novel very-large-scale integration (VLSI) architecture, and a synthesis of our design using FPGA/ASIC synthesis tools.

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Section: Hardware Implementation Resultsmentioning

confidence: 98%

Hardware Architectures of Visible Light Communication Transmitter and Receiver for Beacon-based Indoor Positioning Systems

Nguyen

Tran

et al. 2020

REV J. Electron. Commun.

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“…For instance, if H = I N , the channel is an additive Gaussian noise channel representing the LoS environment [15]. Also, setting H as a Toeplitz matrix can model the inter-symbol interference (ISI) induced by the reflection of obstacles [25]. For the OOK dimming support, the number of nonzero symbols (or Hamming weight) of codeword s b,d in a codebook S d {s b,d , ∀b ∈ M} is determined such that the average transmit intensity fulfils the dimming target d. There are two different approaches for the dimming control methods: strict and relaxed dimming control.…”

Section: System Modelmentioning

confidence: 99%

“…The LoS distance D L−P between the LED and the PD is given by D L−P = (1.5 − P ) 2 + 9 m, and the reflection distance D L−W from the LED to the wall and D W −P from the wall to the PD are D L−W = ( 4.5 4.5−P ) 2 + 2.25 m and D W −P = (3 − P ) 2 + (3 − 4.5 4.5−P ) 2 m, respectively. According to [25], the received signal r in (1) for the ISI models can be written as…”

Section: B Nonlinearity and Varying Channel Setupmentioning

confidence: 99%

A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver

Lee

Quek

Lee

2020

IEEE Trans. Wireless Commun.

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This paper studies a deep learning (DL) framework for the design of binary modulated visible light communication (VLC) transceiver with universal dimming support. The dimming control for the optical binary signal boils down to a combinatorial codebook design so that the average Hamming weight of binary codewords matches with arbitrary dimming target. An unsupervised DL technique is employed for obtaining a neural network to replace the encoder-decoder pair that recovers the message from the optically transmitted signal. In such a task, a novel stochastic binarization method is developed to generate the set of binary codewords from continuous-valued neural network outputs. For universal support of arbitrary dimming target, the DL-based VLC transceiver is trained with multiple dimming constraints, which turns out to be a constrained training optimization that is very challenging to handle with existing DL methods. We develop a new training algorithm that addresses the dimming constraints through a dual formulation of the optimization. Based on the developed algorithm, the resulting VLC transceiver can be optimized via the end-to-end training procedure. Numerical results verify that the proposed codebook outperforms theoretically best constant weight codebooks under various VLC setups.

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“…ISI is a major concern in visible light communication, as the medium (light) can be reflected by various surfaces [23]. It can be also caused by the position of LEDs or the bit interval [24]. Intersymbol interference is a situation when one symbol (or state) interferes with other symbols, thus increasing the error rate and leading to the lower reliability of the whole platform.…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive equalization is one of the ways to overcome intersymbol interference; see [25][26][27][28][29]. Error correction codes can be also used to alleviate ISI [24]. Currently, the requirements for quality of RF and VLC systems are slowly increasing, and even higher data rates are desired.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Software Defined Equalization Techniques for Indoor Visible Light Communication

Martínek

Danys

Jaroš

2020

Sensors

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This paper focuses on a channel feed-forward software defined equalization (FSDE) of visible light communication (VLC) multistate quadrature amplitude modulation (M-QAM) based system, implemented in the LabVIEW programming environment. A highly modular platform is introduced; the whole experiment is simulated in software and then thoroughly explored and analyzed during practical measurements in the laboratory, simulating real-world situations. The whole platform is based on modified National Instruments software defined radios (NI SDR) and a commercially available Philips light source, often used in Czech government institutions. Three FSDE algorithms were tested: least mean squares (LMS), normalized least mean squares (NLMS), and QR decomposition based RLS (QR-RLS). Based on measurements, QR-RLS provides the best results, improving measured values by up to 10%. The experiments also show that the simulated results are very similar to real measurements, thus proving the validity of the chosen approach. The whole platform manages to improve measured data simply by making changes to the software side of the testing prototype.

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Decoding of Polar Codes for Intersymbol Interference in Visible-Light Communication

Cited by 11 publications

References 17 publications

Hardware Architectures of Visible Light Communication Transmitter and Receiver for Beacon-based Indoor Positioning Systems

Hardware Architectures of Visible Light Communication Transmitter and Receiver for Beacon-based Indoor Positioning Systems

A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver

Adaptive Software Defined Equalization Techniques for Indoor Visible Light Communication

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