Coverage analysis on improved LTE eMBMS with layered-division-multiplexing and longer cyclic prefix

Zhang, Liang; Wu, Yiyan; Li, Wei; Salehian, Khalil; Lafleche, Sebastien; Florea, Adrian; Wang, Xianbin; Park, Sung Ik; Kim, Heung Mook; Lee, Jae-Young; Hur, Namho; Angueira, Pablo; Montalbán, Jon; Regueiro, Cristina

doi:10.1109/bmsb.2017.7986163

Cited by 4 publications

(11 citation statements)

References 16 publications

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“…The main problems are, i) comparing with ATSC 3.0 the cell of the LTE-eMBMS network is significantly reduced and, as a consequence of that, ii) the co-channel interference is a more severe issue comparing with Digital TV system. Hence, the difference in SNR plays an important role in the coverage parity [31]. Therefore, to estimate the Layer 2 coverage, an improved SFNG prediction model has been proposed in this paper to bridge the gap.…”

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

“…In [31], the authors made a simulation-based analysis with different configurations. They established different SNR thresholds with different injection levels for Layer 2.…”

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

“…In [14], the authors used for the measurements a DVB-T network where the constellation used for the tests was 16-Quadrature Amplitude Modulation (QAM), by using the rate-1/2 TC and MPE-FEC (Multi-Protocol Encapsulation-Forward Error Correction). This configuration has a similarity with one used in [31]. Then, starting with the hypothesis that in the Layer 2 we have the same configurations used in [31], it might be valid to use the SFNG estimation model to analyze the coverage area in Layer 2 of LTE-eMBMS.…”

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

“…This configuration has a similarity with one used in [31]. Then, starting with the hypothesis that in the Layer 2 we have the same configurations used in [31], it might be valid to use the SFNG estimation model to analyze the coverage area in Layer 2 of LTE-eMBMS. For the propagation path loss, we use the model described in [32], adjusted for the city of Ghent, Belgium.…”

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

See 3 more Smart Citations

SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems

Santana¹,

David

Pessemier

et al. 2022

IEEE Trans. on Broadcast.

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Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

“…In [31], the authors made a simulation-based analysis with different configurations. They established different SNR thresholds with different injection levels for Layer 2.…”

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

Section: Irm + Standard Deviation Irm) G Ldm Performance In Lte-embmsmentioning

confidence: 99%

See 2 more Smart Citations

SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems

Santana¹,

David

Pessemier

et al. 2022

IEEE Trans. on Broadcast.

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“…For demodulating the Core Layer, the receiver follows the traditional single-layer signal detection process, and the Enhanced Layer signal is treated as interference. For decoding the Enhanced Layer, the receiver regenerates the Core Layer and subtracts it from the LDM signal [4].…”

Section: Introductionmentioning

confidence: 99%

Experimental Assessment of New Generation Radio Networks Based on Layered Division Multiplexing

Alonso¹,

David²,

Deruyck³

et al. 2022

IEEE Trans. on Broadcast.

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Despite the recent advances in broadband penetration and accessibility, broadcasting networks continue to be the most efficient way for delivering media content to large areas independently of the user density. Nevertheless, a convergence of broadcasting services into the broadband networks is foreseen. In this context, Layered Division Multiplexing (LDM) allows the joint provision of unicast, multicast, and broadcast services in mobile cells infrastructure. Despite the success of LDM in broadcasting infrastructure, its practical application in Long Term Evolution networks providing Evolved Multimedia Broadcast Multicast Services (LTE eMBMS) and 5G-MBMS is more difficult. In this paper, we experimentally quantify the cellinterference and its impact on the network performance and Quality of Service. Our experiments reveal that the inter-cell interference margin for LTE eMBMS is about 3 dB higher compared to traditional LTE networks. If a layered architecture is incorporated this higher inter-cell interference would cause a reduction of approximately 19% of the Enhanced Layer (Lower Layer) coverage.

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Using Layered-Division-Multiplexing to Achieve Enhanced Spectral Efficiency in 5G-MBMS

Zhang

et al. 2019

2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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Coverage analysis on improved LTE eMBMS with layered-division-multiplexing and longer cyclic prefix

Cited by 4 publications

References 16 publications

SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems

SFN Gain Prediction by Neural Networks for Enhancing Layer 2 Coverage in LDM Systems

Experimental Assessment of New Generation Radio Networks Based on Layered Division Multiplexing

Using Layered-Division-Multiplexing to Achieve Enhanced Spectral Efficiency in 5G-MBMS

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