MIMO for ATSC 3.0

Gómez-Barquero, David; Vargas, David; Fuentes, Manuel; Klenner, Peter; Moon, Sangchul; Choi, Jinyong; Schneider, Daniel; Murayama, Kenichi

doi:10.1109/tbc.2015.2505399

Cited by 88 publications

(33 citation statements)

References 22 publications

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“…The fifteenth paper [15], "MIMO for ATSC 3.0," by D. Gomez-Barquero et al, provides an overview of the optional cross-polarized (i.e., horizontal and vertical polarization) 2 × 2 Multiple-Input Multiple-Output antenna scheme adopted in ATSC 3.0 to improve robustness and/or increase capacity via spatial diversity and multiplexing by sending two data streams in a single radio frequency channel. The MIMO scheme re-uses as much as possible the ATSC 3.0 single antenna baseline specification, and it introduces a very flexible MIMO precoder with different signal processing algorithms available, two MIMO pilot encoding schemes, and twelve different MIMO scattered pilot patterns.…”

Section: Atsc 30 Next Generation Digital Tv Standard -An Overview Anmentioning

confidence: 99%

ATSC 3.0 Next Generation Digital TV Standard—An Overview and Preview of the Issue

Chernock¹,

Gómez-Barquero²,

Whitaker³

et al. 2016

IEEE Trans. on Broadcast.

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Section: Atsc 30 Next Generation Digital Tv Standard -An Overview Anmentioning

confidence: 99%

ATSC 3.0 Next Generation Digital TV Standard—An Overview and Preview of the Issue

Chernock¹,

Gómez-Barquero²,

Whitaker³

et al. 2016

IEEE Trans. on Broadcast.

Self Cite

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“…NUCs that are designed for SISO and for a specific modulation and CR combination can still be used for MIMO, for the same configuration. This assumption was already taken in the ATSC 3.0 specification [76], and will be proved in Section 5.2, where performance results are provided.…”

Section: Chapter 5 Non-uniform Constellations For Mimo Communicationmentioning

confidence: 94%

“…These channel models are used in this dissertation, and are detailed in Appendix A. MIMO may become a key technology for ATSC 3.0, since the DVB-T2 standard [12] does not include this feature. Reference [76] provides an overview of the optional MIMO antenna system adopted in ATSC 3.0, intended for 2 × 2 cross-polarized MIMO. This means that at least two antennas with horizontal and vertical polarization are present at both transmitter and receiver sides.…”

Section: Mimo Signal Processingmentioning

confidence: 99%

“…The diversity gain is due to the fact of having several spatial branches with independent fading between the transmitter and receiver. And the multiplexing gain allows transmitting more than one data stream [76]. Fig.…”

Section: Multi-antenna Non-uniform Constellationsmentioning

confidence: 99%

“…An imbalance between both streams can be intentionally generated in transmission by operators to facilitate the use of dual polar MIMO operations in specific networks [76]. For this study, we modify the power allocated at each transmit antenna as detailed in Chapter 2.…”

Section: Re-optimization With Power Imbalancementioning

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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Integrated broadband broadcast video scalability usage proposal to next-generation of brazilian DTTB system

Vaz,

Alves,

Lobeiro

et al. 2023

Multimed Tools Appl

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MIMO for ATSC 3.0

Cited by 88 publications

References 22 publications

ATSC 3.0 Next Generation Digital TV Standard—An Overview and Preview of the Issue

ATSC 3.0 Next Generation Digital TV Standard—An Overview and Preview of the Issue

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

Integrated broadband broadcast video scalability usage proposal to next-generation of brazilian DTTB system

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