Bit-Interleaved Coded Modulation (BICM) for ATSC 3.0

Michael, Lachlan; Gómez-Barquero, David

doi:10.1109/tbc.2015.2505414

Cited by 108 publications

(56 citation statements)

References 17 publications

(20 reference statements)

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“…It also presented the modifications and the new elements that were introduced in DVB-NGH. A more recent study [34] summarizes and expounds the choices made for the BICM part of the ATSC 3.0 standard. The result is a BICM chain that provides the largest operating range (more than 30 dB, with the most robust mode operating below -5 dB of SNR), and the highest spectral efficiency compared to any digital terrestrial system so far.…”

Section: State-of-the-artmentioning

confidence: 99%

“…It is one of the most important modules in a broadcast physical layer, since it provides error correction capabilities to the system, allowing the transmitter multiple choices to trade-off robustness for capacity. As explained in [34], the improvements achieved in this module represent one of the major reasons for improvements in efficiency, which is a key performance indicator to make an efficient use of the scarce radio spectrum. Fig.…”

Section: Bicm Componentsmentioning

confidence: 99%

“…The idea is to transmit a QPSK-like constellation but with more bits per symbol, since the MSB provide similar robustness but the LSB are used to give additional information. On the contrary, the use of a traditional QPSK allows to double the coding rate, so in practice both constellations provide similar performance [34]. Another feature to take into account is power consumption.…”

Section: Non-uniform Constellations Optimizationmentioning

confidence: 99%

“…Using this condensation, it is possible to transmit more bits per symbol. As main drawback, lower coding rates need to be used to keep the same spectral efficiency, so in practice both constellations provide similar performance [34].…”

Section: Condensed Symbols Reduction (Csr)mentioning

confidence: 99%

“…A LDPC code length of 64800 bits was used. Bit, time and frequency interleavers from ATSC 3.0 were employed [34]. We use 16NUCs and 64NUCs with CRs 5/15 and 13/15 in a spatial multiplexing MIMO 2x2 system, for an i.i.d.…”

Section: Resolution Vs Performance Trade-offmentioning

confidence: 99%

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Non-Uniform Constellations for Next-Generation Digital Terrestrial Broadcast Systems

Muela¹

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Nowadays, the digital terrestrial television (DTT) market is characterized by the high capacity needed for high definition TV services, and the limited spectrum available. There is a need for an efficient use of the broadcast spectrum, which requires new technologies to guarantee increased capacities. NonUniform Constellations (NUC) arise as one of the most innovative techniques to approach those requirements. These constellations have been implemented in next-generation broadcast systems such as DVB-NGH (Digital Video Broadcasting -Next Generation Handheld) or ATSC 3.0 (Advanced Television Systems Committee -Third Generation). NUCs reduce the gap between uniform Gray-labelled Quadrature Amplitude Modulation (QAM) constellations and the theoretical unconstrained Shannon limit. With these constellations, symbols are optimized in both in-phase (I) and quadrature (Q) components by means of signal geometrical shaping, considering a certain signal-to-noise ratio (SNR) and channel model.There are two types of NUC, depending on the number of real-valued dimensions considered in the optimization process, i.e. one-dimensional and two dimensional NUCs (1D-NUC and 2D-NUC, respectively). 1D-NUCs maintain the squared shape from QAM, but relaxing the distribution between constellation symbols in a single component, with non-uniform distance between them. These constellations provide better SNR performance than QAM, without any demapping complexity increase. 2D-NUCs also relax the square shape constraint, allowing to optimize the symbol positions in both dimensions, thus achieving higher capacity gains and lower SNR requirements. However, the use of 2D-NUCs implies a higher demapping complexity, since a 2D-demapper is needed, i.e. I and Q components cannot be separated.In this dissertation, NUCs are analyzed from both transmit and receive point of views, using either single-input single-output (SISO) or multiple-input multiple-output (MIMO) antenna configurations. In SISO transmissions, 1D-NUCs and 2D-NUCs are optimized for a wide range of SNRs, several channel models and different constellation orders, using the Nelder-Mead optimization 3 ABSTRACT algorithm. The optimization of rotated 2D-NUCs is also investigated, including the rotation angle as an additional variable in the optimization. Even though the demapping complexity is not increased, the SNR gain of these constellations is not significant. The highest rotation gain is obtained for low-order constellations and high SNRs. However, with multi-RF techniques such as Channel Bonding (CB) or Time-Frequency Slicing (TFS), the SNR gain is drastically increased, since I and Q components are transmitted in different RF channels. In this thesis, multi-RF gains of NUCs with and without rotation are provided for some representative scenarios.At the receiver, two different implementation bottlenecks are explored. First, the demapping complexity of all considered constellations is analyzed. Afterwards, two complexity reduction algorithms for 2D-NUCs are proposed. Both algor...

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Section: State-of-the-artmentioning

confidence: 99%

Section: Bicm Componentsmentioning

confidence: 99%

Section: Non-uniform Constellations Optimizationmentioning

confidence: 99%

Section: Condensed Symbols Reduction (Csr)mentioning

confidence: 99%

Section: Resolution Vs Performance Trade-offmentioning

confidence: 99%

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Non-Uniform Constellations for Next-Generation Digital Terrestrial Broadcast Systems

Muela¹

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Technical Overview of ATSC 3.0 – Next‐Generation Terrestrial Broadcasting

Noland¹,

Whitaker²

2021

Wiley Encyclopedia of Electrical and Electronics Engineering

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This article describes the next‐generation terrestrial broadcast transmission system developed by the Advanced Television Systems Committee (ATSC) known as “ATSC 3.0.” The goals of ATSC 3.0 are to improve the television viewing experience with higher audio and video quality, compression efficiency, robust transmission for reception on both fixed and mobile devices, and more accessibility, personalization, and interactivity. ATSC is also addressing changing consumer behavior and preferences, providing TV content on a wide variety of devices. Furthermore, ATSC is working to add value to the broadcast service platform, extending its reach and adding new business models – all without the restriction of backward compatibility with the legacy system.

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