Next-Generation Mobile Multimedia Broadcasting

Gómez-Barquero, David; Angueira, Pablo; Wu, Yiyan

doi:10.1201/b14186-3

Cited by 16 publications

(39 citation statements)

References 30 publications

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“…TFS was originally proposed and informatively specified within the standardization process of DVB-T2 [4] and was fully adopted in the mobile broadcasting standard DVB-NGH (Next Generation Handheld) [9] [10]. But the concept of TFS may be applied to any other new terrestrial broadcasting standard since it defines a physical layer technique.…”

mentioning

confidence: 99%

Time Frequency Slicing for Future Digital Terrestrial Broadcasting Networks

Giménez

Stare

Bergsmark

et al. 2014

IEEE Trans. on Broadcast.

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mentioning

confidence: 99%

Time Frequency Slicing for Future Digital Terrestrial Broadcasting Networks

Giménez

Stare

Bergsmark

et al. 2014

IEEE Trans. on Broadcast.

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“…Fig. 5.1 shows the ergodic capacity for SISO and MIMO with two transmit and two receive antennas, in the mobile DVB-NGH channel (user speed 60 km/h) [33]. The MIMO capacity increases with the SNR at a higher rate than the SISO scheme.…”

Section: Multi-antenna Non-uniform Constellationsmentioning

confidence: 99%

“…It can be observed that 16NUCs optimized for very low SNRs provide higher gains than the rest. Selecting the values of a 1 yielding the maximum capacity for a large range of SNRs can provide the basis for the construction of a 16NUC adaptive to a particular channel model [33]. As a consequence of the dependence of the NUC symbols on the SNR, each constellation cannot provide the maximum gain for all operation points, and therefore CRs.…”

Section: The Simplest Use Case: 1d-16nucmentioning

confidence: 99%

“…The use of MMSE equalization was firstly proposed in [92] and [93] for reducing the Inter-Symbol Interference (ISI) in communications, and afterwards applied in [94], [33] to wireless systems.…”

Section: Zf and Mmse Detectorsmentioning

confidence: 99%

“…Nowadays, state-of-the-art BICM broadcasting systems are currently very close to the Shannon limit. In [33], the structure of the BICM module in DVB-T2 was widely described, which is formed by the serial concatenation of a FEC code, a bit interleaver, and a QAM mapper. It also presented the modifications and the new elements that were introduced in DVB-NGH.…”

Section: State-of-the-artmentioning

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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3GPP Enhancements for Television Services: LTE‐Based 5G Terrestrial Broadcast

Gómez-Barquero

Giménez

Beutler

2020

Wiley Encyclopedia of Electrical and Electronics Engineering

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The provision of terrestrial broadcast services using 3GPP technologies was enabled for the first time in LTE Advanced Pro Release (Rel‐) 14, in which the evolved Multimedia Broadcast Multicast Service (eMBMS) technology was enhanced to fulfill a wide set of requirements input by the broadcast industry. During the Enhancements for Television (EnTV) work item in Rel‐14, several modifications were realized affecting system architecture, core, and radio access, which include, an interface to grant control to broadcasters to establish audiovisual services, an application programming interface for developers to simplify access to eMBMS procedures, or a transparent delivery mode with native content formats, among others. At the radio layer, dedicated carriers with 100% broadcast content allocation, and also new OFDM numerologies to support larger intersite distances in Single Frequency Networks (SFNs), were enabled. The most significant change was the so‐called receive‐only mode which enables devices receiving broadcast content without the need for uplink capabilities, SIM cards, or network subscriptions, i.e. free‐to‐air reception.In Rel‐16, 3GPP carried out a study item to evaluate EnTV Rel‐14 against the terrestrial broadcast requirements for 5G defined in 3GPP TR 38.913. Two requirements were detected as not met: the ability to support SFNs with cell radii of up to 100 km and mobile reception with speeds up to 250 km h−1. A Rel‐16 work item standardized further improvements while taking into account practical considerations such as implementation complexity and performance. The improved system is known as LTE‐based 5G Terrestrial Broadcast, and also with the popular name 5G Broadcast.

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Next-Generation Mobile Multimedia Broadcasting

Cited by 16 publications

References 30 publications

Time Frequency Slicing for Future Digital Terrestrial Broadcasting Networks

Time Frequency Slicing for Future Digital Terrestrial Broadcasting Networks

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

3GPP Enhancements for Television Services: LTE‐Based 5G Terrestrial Broadcast

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