Improvement of L1 Signaling Performance for DVB-T2 Using Optimized Two-Dimensional Non-Uniform Constellations

Barjau, Carlos; Ansorregui, Daniel; Mouhouche, Belkacem; Jeong, Hongsil; Lee, Hak‐Ju

doi:10.1109/icuwb.2015.7324462

Cited by 3 publications

(1 citation statement)

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“…In [41], the authors investigate the effect of NUCs on the performance of Iteratively Decoded Bit-Interleaved Coded Modulation (BICM-ID) systems with different FEC coding schemes, in which NUCs also provide additional gains up to 0.2 dB. In [42], constellations are designed for the DVB-T2 L1Post signal, providing a potential improvement of 0.55 dB for the overall signaling performance using 64NUCs, for AWGN channel. Slightly lower gains are also obtained for Rayleigh channel.…”

Section: Non-uniform Constellationsmentioning

confidence: 99%

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: Non-uniform Constellationsmentioning

confidence: 99%

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

Muela¹

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Digital Terrestrial Broadcast Standards

Montalbán

Iradier

Fanari

et al. 2021

Wiley Encyclopedia of Electrical and Electronics Engineering

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The European Digital Video Broadcasting (DVB) project started in 1993 as an industry forum providing the specifications for digital broadcast. Afterwards, the first Digital Terrestrial Television (DTT) system, DVB‐Terrestrial (DVB‐T), was standardized in 1997, and one year later, the first DVB‐T broadcast began in Sweden and the UK. In September 2009, ETSI published the first version of the second generation standard (DVB‐T2), where the data‐carrying capacity of a single Radio Frequency (RF) broadcast channel was notably increased. Specifically, a minimum capacity increase of 30% was achieved as well as improved SFN performances, a mechanism to reduce the peak‐to‐average‐power ratio (PAPR), sand a flexible frame structure for Physical Layer Pipes (PLPs). This article starts with a system overview of the DVB‐T2 standard, and then, the general architecture of the DVB‐T2 transceiver is comprehensively described module by module. This work also gathers a comprehensive review of the available implementation and evaluation results of the standard.

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SNR-Adaptive Constellation Design for Convolutional Codes

Ilter¹

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The development of 5G communication technology has introduced new families of applications and use cases during just its standardization and some of them have brought peculiar system requirements, where existing channel coding in its current form might suffer from tackling them. As an example of this, it can be shown that deploying one of the powerful channel coding techniques might suffer in tackling stringent delay requirements while sustaining higher reliability in some mission-critical applications due to iterative decoding structure. Besides, an error-floor region might prevent turbo-coded systems from deploying in certain use cases. From this perspective, a channel coding technique, while currently less popular than the others, might have considerable potential over 5G and beyond after optimizing its modules.Motivated by this fact, this thesis aims to present an SNR-adaptive convolutionally coded transmission model where the simplicity of a convolutional encoder has combined with current advanced optimization ability. Basically, the proposed transmission model combines one-shot decoding superiority of convolutional coder with the utilization of choosing an optimized group of symbol points, which are obtained specifically for a given convolutional encoder, channel characteristic and transmission model. The enabler of an SNR-adaptive optimization framework is the derivation of upper bound error performance expression by exploiting the product-state matrix technique, which is used in the calculation of generating function for a given convolutional encoder and it brings the superiority to work with any type of constellations. The importance of including fully arbitrary, irregular type, constellations in constellation search lies on that the uniform constellations can lead to suboptimal performance in many coded scenarios including bit-interleaved coded modulated and turbo-trellis coded modulations as already shown.As an initial step towards the proposed SNR-adaptive transmission model, a generalized error performance calculation was first presented. Once optimized symbol ii point locations via particle swarm constellation optimizer are found for each operating point, the performance comparison of the proposed SNR-adaptive convolutionally coded transmission model with SNR-independent counterparts is given in terms of BER and spectral efficiency. The superiority of the proposed transmission model, in terms of algorithmic complexity and decoding latency, is also presented.iii I dedicate this thesis to my wife, Gozde, who has been with me all these years and has made them the best years of my life.. iv

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Improvement of L1 Signaling Performance for DVB-T2 Using Optimized Two-Dimensional Non-Uniform Constellations

Cited by 3 publications

References 5 publications

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

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

Digital Terrestrial Broadcast Standards

SNR-Adaptive Constellation Design for Convolutional Codes

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