Improving LDPC decoding performance for ATSC 3.0 LDM profiles

Regueiro, Cristina; Barrueco, Jon; Montalbán, Jon; Eizmendi, Iñaki; Vélez, Manuel

doi:10.1109/bmsb.2017.7986136

Cited by 3 publications

(6 citation statements)

References 10 publications

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“…It is shown that for x t coding rates below 7/15, the SNR threshold of the four configurations are the same. Particularly, it can be observed that the SNR thresholds of 4/15 and 6/15 are, -0.5, and 2.7 dB, respectively, which fits with the results from [10]. The performance gains of OD are noticeable for SNRs greater than 10 dB, i.e.…”

Section: Generalized Mutual Information Analysissupporting

confidence: 80%

“…This second approach requires 2 mt+m b Euclidean distances. For the bottom-layer signal, the same number of distances to be computed are needed, but taking into account the a-priori LLR values as in (10). Thus, 2 mt+m b +1 Euclidean distances are needed for the two-signal demodulation with the OD approach.…”

Section: Demappers Complexitymentioning

confidence: 99%

“…On the contrary, whereas GD computes 2 2 = 4 Euclidean distances for getting Λ GD t (b 0 ), OD computes 2 2+2 = 16 distances for Λ OD t (b 0 ), which can be likened to a 16QAM constellation. In order to reduce the number of Euclidean distances to be computed by OD at the expense of a performance loss, a semi-optimized approach was evaluated in [10]. It was observed that by employing constellation orders lower than the current bottom-layer constellation on the Λ OD t (b i ) computation, the performance was degraded at most by 0.4 dB.…”

Section: Demappers Complexitymentioning

confidence: 99%

See 2 more Smart Citations

Information-Theoretic Analysis and Performance Evaluation of Optimal Demappers for Multi-Layer Broadcast Systems

Garro

Giménez

Klenner

et al. 2018

IEEE Trans. on Broadcast.

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Multi-layer broadcast systems distribute services across time and frequency domain by means of power-division multiplexing. Successive interference cancellation is required, in general, in order to extract the content of all services. For a lowcomplexity implementation, the receiver can obtain the strongest (top-layer) signal assuming underlying signals to behave like thermal noise. The thermal noise assumption may not be valid under certain conditions and a more accurate characterization of the interference could bring improved performance. This paper analyzes the validity of the noise-like assumption considering the power ratio between signals and the required Carrier-to-Noise ratio (CNR) for error-free reception. The main contribution of the paper is the proposal of a demapping algorithm that exploits the knowledge of the constellation of underlying signals. Generalized Mutual Information, performance evaluation, and complexity analysis are provided with the AWGN-like assumptions and with the proposed alternative in order to assess the potential performance improvements that can be achieved.

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Section: Generalized Mutual Information Analysissupporting

confidence: 80%

Section: Demappers Complexitymentioning

confidence: 99%

Section: Demappers Complexitymentioning

confidence: 99%

See 1 more Smart Citation

Information-Theoretic Analysis and Performance Evaluation of Optimal Demappers for Multi-Layer Broadcast Systems

Garro

Giménez

Klenner

et al. 2018

IEEE Trans. on Broadcast.

View full text Add to dashboard Cite

show abstract

“…It is shown that for x t coding rates below 7/15, the SNR threshold of the four congurations are the same. Particularly, it can be observed that the SNR thresholds of 4/15 and 6/15 are, -0.5, and 2.7 dB, respectively, which ts with the results from[74]. The performance gains of OD are noticeable for SNRs greater than 10 dB, i.e.…”

supporting

confidence: 80%

“…, which can be likened to a 16QAM constellation. In order to reduce the number of Euclidean distances to be computed by OD at the expense of a performance loss, a semi-optimized approach was evaluated in [74].…”

Section: Demappers Complexitymentioning

confidence: 99%

Advanced Layered Divsion Multiplexing Technologies for Next-Gen Broadcast

Crevillén¹

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Since the beginning of the 21st century, terrestrial broadcasting systems have been blamed of an inecient use of the allocated spectrum. To increase the spectral eciency, digital television Standards Developing Organizations (SDOs) settled to develop the technical evolution of the rst-generation Digital Terrestrial Television (DTT) systems. Among others, a primary goal of nextgeneration DTT systems (European DVB-T2 and U.S. ATSC 3.0) is to simultaneously provide TV services to mobile and xed devices. The major drawback of this simultaneous delivery is the dierent requirement of each reception condition. To address these constraints dierent multiplexing techniques have been considered. While DVB-T2 fullled the simultaneous delivery of the two services by Time Division Multiplexing (TDM), ATSC 3.0 adopted the Layered Division Multiplexing (LDM) technology. LDM can outperform TDM and Frequency Division Multiplexing (FDM) by taking advantage of the Unequal Error Protection (UEP) ratio, as both services, namely layers, utilize all the frequency and time resources with dierent power levels. At receiver side, two implementations are distinguished, according to the intended layer. Mobile receivers are only intended to obtain the upper layer, known as Core Layer (CL). In order not to increase their complexity compared to single layer receivers, the lower layer, known as Enhanced Layer (EL) is treated as an additional noise on the CL decoding. Fixed receivers, increase their complexity, as they should performed a Successive Interference Cancellation (SIC) process on the CL for getting the EL. To limit the additional complexity of xed receivers, the LDM layers in ATSC 3.0 are congured with dierent error correction capabilities, but share the rest of physical layer parameters, including the Time v

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Enhanced LDM for Next-Generation Digital Broadcasting Transmission

Deng

Bian

2021

Sensors

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In the traditional layered division multiplexing (LDM) system, by simply adjusting the injection level, the reception performance of the core layer (CL) mobile services will be decreased significantly, resulting in the deterioration of system coverage performance. Thus, it is necessary to improve the performance of the enhanced layer (EL) service reception without affecting the reception threshold of CL service. To achieve this, in this paper, an enhanced LDM (En-LDM) scheme that supports multi-service transmission is proposed for the next-generation broadcasting network. In this scheme, at the transmitter end, part of the low-density parity-check (LDPC) coded data stream of fixed service conveyed in the EL will be extracted out through puncturing, and then, it will be transmitted over the CL of the LDM signal along with the original CL data in a frequency domain multiplexing (FDM) manner. At the receiving end, the punctured data of the EL fixed service will be recovered with a higher signal-to-noise ratio (SNR). Compared to the traditional LDM scheme, the proposed En-LDM scheme can significantly improve the reception performance of fixed services without decreasing the SNR threshold of mobile services. Moreover, the En-LDM can achieve a higher channel capacity than that of the traditional LDM for both the fixed services and the overall services. The superiority of the proposed En-LDM scheme over the traditional LDM scheme is validated by the simulation under the additive white Gaussian noise (AWGN) and fading channels.

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Improving LDPC decoding performance for ATSC 3.0 LDM profiles

Cited by 3 publications

References 10 publications

Information-Theoretic Analysis and Performance Evaluation of Optimal Demappers for Multi-Layer Broadcast Systems

Information-Theoretic Analysis and Performance Evaluation of Optimal Demappers for Multi-Layer Broadcast Systems

Advanced Layered Divsion Multiplexing Technologies for Next-Gen Broadcast

Enhanced LDM for Next-Generation Digital Broadcasting Transmission

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